Qubika Achieves Databricks Gold Partner Status, Strengthening Leadership in Data and AI Transformation

March 26, 2026

Qubika has achieved Databricks Gold Partner status, recognizing its proven expertise delivering enterprise-scale data and AI solutions across multiple industries.

Qubika, a global data and AI services company, today announced that it has been elevated to Gold Partner status (formerly named “Elite”) within the Databricks Brickbuilder Partner Network, recognizing its advanced technical capabilities, certified expertise, and proven success delivering enterprise-scale data and AI solutions on the Databricks platform.

This milestone underscores our continued investment in lakehouse architecture, operational AI systems, and advanced Databricks capabilities – including Databricks Lakebase, the next evolution enabling transactional (OLTP) workloads directly within the lakehouse ecosystem.

Qubika has built a dedicated Data and AI practice which focuses on transforming companies from Digital-Native to AI-Native. With more than 200 Databricks-certified professionals, we have delivered large-scale implementations across financial services, health and wellbeing, media and entertainment, retail, and high-tech sectors. Within these 200+ certified professionals, we also have numerous Databricks Champions and Solutions Architects who focus on expanding and sharing expertise, both internally across our teams and externally within the broader Databricks ecosystem.

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We also maintain a strong presence in the Databricks community. Our experts have presented at major industry events, including a session on “How to Build Agents Using Databricks & LangGraph” at the Databricks Data + AI Summit in San Francisco. Qubika regularly hosts and participates in Databricks-focused meetups across North and South America, supporting knowledge sharing and thought leadership. We have recently hosted the Austin and Montevideo Databricks User Groups and will also host the Austin Databricks DevConnect on April 14.

Qubika’s expertise spans:

Databricks Lakebase implementation for AI workloads
Databricks Genie expertise for conversational analytics and natural language data access
Enterprise lakehouse architecture using Delta Lake
Large-scale migrations to Databricks
Data quality and governance implementation with Unity Catalog
Machine learning and MLOps with MLflow
Enterprise AI agents built with Mosaic AI and Qubika’s QBricks Agentic Accelerator, built on Databricks

This year Qubika is working on a number of Accelerators and Solutions designed to accelerate time-to-value. These include automated Unity Catalog enablement, governance metadata migration tools, and an AI-powered knowledge transformation framework.

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“Qubika brings a rare combination of deep data engineering expertise and advanced AI capabilities on the Databricks platform. Their ability to translate complex data architectures into production-ready AI solutions makes them a highly valuable partner”, commented Sonal Mane, Senior Director, Brickbuilder Partner Network, Databricks.

“Our elevation to Gold Partner reflects the strength of our Databricks practice and the outcomes we deliver for clients,” said Conrado Viña, Co-Founder and Head of Partnerships at Qubika. “We are helping enterprises modernize their data foundations while operationalizing AI at scale – securely, governably, and efficiently.”

As organizations increasingly prioritize AI readiness, data governance, and scalable analytics, Qubika’s Gold status reinforces its position as a trusted transformation partner capable of architecting and operationalizing enterprise-grade AI solutions.

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Knowi Launches Enterprise Data Agents Powered by Its Own AI, Not a Third-Party LLM

MTS Staff Writer

March 26, 2026

Knowi Launches Enterprise Data Agents Powered by Its Own AI, Not a Third-Party LLM

20+ AI agents handle the full analytics workflow from a single prompt. Private AI, MCP server, 70+ data sources. No data warehouse required.

Knowi announced AI agents for its enterprise analytics platform – specialized agents that handle analytics workflows end-to-end, from connecting data sources to building dashboards to scheduling reports. The platform ships with 20+ purpose-built agents, an orchestrator and an MCP (Model Context Protocol) server that lets AI tools like Claude interact with your BI stack.

Every BI vendor is slapping an LLM on top and calling it AI. We built the AI into the platform. The data never leaves. Knowi is the enterprise data agent.”

— Jay Gopalakrishnan, Founder & CEO, Knowi

Private AI by design: While most BI tools adding AI features route your data through third-party LLMs – your queries, schemas, and results pass through external services to generate answers, Knowi takes a different approach. It runs its own AI infrastructure. Nothing gets sent to an external LLM. Enterprise access controls and row-level permissions are enforced throughout the agent workflow.

For organizations that need full control, Knowi offers complete on-premises deployment – the platform, AI agents included, running on your infrastructure with your own models.

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SOC 2 Type II certified. HIPAA-compatible configurations available.

“Every BI vendor is slapping an LLM on top and calling it AI. We built the AI into the platform. The data never leaves. Knowi is the enterprise data agent: it connects your sources, builds your queries, creates your dashboards, and delivers your reports. And our agents are embeddable – your own AI applications can invoke them via SSO or API. We’re not a dashboard you log into. We’re the intelligence layer your entire AI stack runs on.” – Jay Gopalakrishnan, Founder & CEO, Knowi

How it works: Users describe what they need in plain English – in Knowi’s chat interface, in Slack, or in Microsoft Teams. The orchestrator breaks the request into steps and chains the right agents together. A user might say “connect to our Postgres, show me revenue by region for Q1, and email the report to the sales team every Monday” – and this request triggers a chain of agents – data connection, query generation, visualization, scheduling, delivery – without the user touching a configuration screen.

Slack and Teams Integration: Knowi’s agents work inside Slack and Microsoft Teams. Ask a question in a channel, get a chart back. Set up alerts that post when KPIs move. Answers show up where the team already works, not behind a dashboard login.

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70+ Data Source and Document Connectors: Knowi connects to 70+ data sources including SQL databases, NoSQL systems (MongoDB, Cassandra, Couchbase), REST APIs, SaaS tools, and can ingest documents – PDFs, spreadsheets, Word files – for AI-powered search and analysis. Cross-join across any combination in a single query without ETL or a data warehouse.

MCP Server: The MCP server exposes Knowi’s capabilities – querying, dashboarding, alerting, data delivery – as tools that any MCP-compatible AI client can call. Plug Knowi into Claude, custom agents, or internal AI workflows. Your BI platform becomes a tool in your AI stack, not a silo next to it.

Embeddable Agent Workflows: Enterprise customers can embed Knowi’s agents directly into their own AI workflows. Through SSO integration and API access, a customer’s own agents can invoke Knowi agents to connect data sources, run queries, build visualizations, or trigger alerts – all within the customer’s security context and access controls. This means Knowi doesn’t just serve analysts through a UI – it becomes a composable data intelligence layer that any enterprise AI system can call on. Build a support agent that pulls live metrics, a planning agent that cross-references forecasts across databases, or a compliance agent that monitors data pipelines – all powered by Knowi’s agent infrastructure running inside your environment.

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Truelist Redefines Email Validation Accuracy with Multi-Strategy Verification Platform

MTS Staff Writer

March 26, 2026

Truelist Redefines Email Validation Accuracy with Multi-Strategy Verification Platform

Email validation platform Truelist delivers 2x more accurate results than any other platform by combining layered multi-strategy validation techniques.

Truelist, the email validation platform built on accuracy, announced its position as the most accurate email verification solution available — delivering up to two times more accurate results than any other provider on the market. The company’s unique multi-strategy validation approach addresses a critical gap in the industry: the inability of single-check tools to reliably determine whether an email address is truly deliverable.

Accuracy isn’t a feature — it’s the entire point of email validation. We built Truelist to solve exactly that, using layered multi-strategy validation that goes far deeper than competitors.”

— Corey Haines, CMO, Truelist

The Problem With Single-Check Validation

Email marketers, sales teams, and growth operators rely on clean lists to protect their sender reputation and maximize deliverability. Yet most email validation tools on the market take a one-dimensional approach — running a single SMTP check and calling it done. The result? Large numbers of “catch-all” domain emails that come back as “unknown,” leaving users with no actionable signal and forcing them to either risk sending to bad addresses or abandon entire segments of their list.

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“Accuracy isn’t a feature — it’s the entire point of email validation,” said Corey Haines, CMO of Truelist. “When your platform can’t tell you whether an email is valid or invalid, it has failed at its core job. We built Truelist from the ground up to solve exactly that problem, using layered multi-strategy validation that goes far deeper than anything competitors offer.”

How Truelist’s Multi-Strategy Validation Works

Unlike platforms that rely on a single verification pass, Truelist offers three validation strategies of increasing depth and accuracy:

Quick Validation performs syntax and DNS checks to instantly identify malformed addresses and non-existent domains — the baseline layer that catches obvious invalids.

Standard Validation adds a full SMTP check, verifying whether the mail server acknowledges the address as deliverable before an email is ever sent.

Enhanced Validation is where Truelist truly separates itself from the competition. This top-tier strategy adds catch-all domain detection, SMTP verification, behavioral analysis, and third-party data cross-referencing to resolve addresses that other tools simply classify as “unknown.” The result is a definitive valid or invalid determination — even for the most difficult catch-all domains.

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This layered architecture means Truelist’s Enhanced Validation delivers up to 2x more accurate results than competing platforms. While other tools stop at a single check and leave catch-all domains unresolved, Truelist combines multiple validation strategies across SMTP, automated browser checks, and third-party APIs to provide the most accurate signal possible.

A Differentiated Approach in a Crowded Market

The email validation space is crowded, but accuracy has long been an afterthought — with providers competing primarily on price or speed while leaving users with uncertain results. Truelist was built with a different philosophy: that the only result worth returning is an accurate one.

Beyond its superior accuracy, Truelist offers a flat-rate unlimited validation model — meaning teams can validate as many emails as they need without worrying about credits, overages, or per-email pricing. This removes the incentive to skip validation on portions of a list due to cost concerns, ensuring that every contact gets the full multi-strategy treatment.

Truelist also integrates seamlessly with the tools marketing and sales teams already use, including Clay, HubSpot, Zapier, Make, Mailchimp, and ConvertKit — allowing clean, validated email data to flow directly into existing workflows without manual effort.

Real Results for Email Marketers and Sales Teams

The accuracy advantage translates directly into business outcomes. Validated lists built on Truelist’s multi-strategy approach mean lower bounce rates, better inbox placement, higher sender reputation scores, and ultimately stronger engagement across every campaign and outreach sequence.

“The industry standard has been to accept ‘unknown’ as a valid response,” said Haines. “We refuse to accept that. Our customers deserve to know the truth about every email on their list, and our multi-strategy validation engine is designed to find that truth — even when it’s hard.”

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Raptive Launches Duet, an AI Workflow Tool to Help Creators Compete in the Age of AI

PRNewswire

March 26, 2026

Raptive Launches Duet, an AI Workflow Tool to Help Creators Compete in the Age of AI

New tool helps creators work more efficiently, repurpose existing content, and expand their reach across the open internet

Raptive, the top 10 global digital media company, announced the launch of Raptive Duet, an AI-assisted workflow tool that gives publishers and creators new ways to compete as AI-generated content continues to expand across the internet.

As automated publishing tools make it easier than ever to produce content at scale, authentic creator content can struggle to stand out across search and discovery platforms. The result can be a more challenging experience for users seeking trusted information, and for advertisers seeking to align with high-quality, reliable content.

Built for and available to creators in Raptive’s network, Raptive Duet helps rebalance the digital content landscape by giving human creators many of the operational advantages of AI —without replacing the trusted expertise behind their work. The name Duet reflects the product’s core philosophy: AI and human creativity working together. Duet analyzes a creator’s existing content library and transforms it into new distribution assets—from structured roundup collections to social-ready pins—aligned with platform ranking signals and audience engagement patterns. By automating parts of the publishing workflow while preserving human authorship, Duet helps creators increase output and compete with the scale and optimization shaping online publishing.

“AI has made it easier than ever to produce content—but much harder for people to know what they can trust,” said Paul Bannister, Chief Strategy Officer at Raptive. “Raptive Duet is focused on building real, practical tools that protect creators and make human-made content easier to find, recognize, and value across the open web.”

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More about Duet’s Tooling System

Roundup Builder

Roundup Builder helps creators transform their existing content libraries into draft roundup posts. Duet analyzes a creator’s archive and assembles structured roundup drafts using their published recipes and articles, giving creators an organized framework they can quickly edit and publish. These roundups are especially useful for seasonal moments, trending topics, and resurfacing evergreen content. By packaging existing work into discovery-friendly formats, Roundup Builder makes it easier to distribute content across channels including Pinterest, Google Discover, email, social media, and site homepages—helping creators move faster while getting more value from the content they’ve already produced.

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Pin Builder

Pin Builder helps creators turn their existing posts into Pinterest-ready pins in minutes. Creators simply paste in a post URL, and Duet analyzes the content to generate multiple pin designs based on that article or recipe. The system applies Pinterest best practices—including layout styles, metadata structure, and design elements currently performing well across the platform—so creators can quickly produce high-quality pins without starting from scratch. Creators can review and edit everything—including images, text overlays, and branding—before publishing. By automating much of the design and formatting process while keeping creators in control of the final output, Pin Builder helps publishers increase posting frequency and stay competitive.

With Duet, Raptive reinforces a core belief: AI should support human creators, not replace them. Developed with input from creators across the Raptive network, the tools are designed to help publishers work more efficiently, protect their voice, and reach audiences actively searching for trusted, human-created content.

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Updated Software Development Toolkit Further Enables Model-Based Enterprise

MTS Staff Writer

March 26, 2026

Updated Software Development Toolkit Further Enables Model-Based Enterprise

Kubotek Kosmos Launches 8.0 Release of 3D Framework Software Components

Kubotek Kosmos, a leader in geometric software technology, has introduced the 8.0 major release of its 3D Framework libraries. The Framework provides software development teams with a high-performance unified API to read, display, edit, and author precise models and complete 3D product definition data across Windows, Linux, web and other platforms. The 8.0 release significantly expands support for the most recent ISO standards-based file formats which enable model-based enterprise strategies across manufacturing systems.

With 3D Framework 8.0, we continue our mission of empowering developers with the fastest, most interoperable geometric foundation available.”

— Ram Eswaran, CTO & COO, Kubotek Kosmos

Facilitating the Model-Based Enterprise with STEP AP242 Edition 4 and STEP XML
PERSISTENT IDENTIFIERS — The International Standards Organization (ISO) 10303 file formats, better known as STEP (Standard for the Exchange of Product model data), are the primary mechanism worldwide for sharing precise product data across engineering and manufacturing systems. Edition 4 of the newest application protocol 242 (AP242) for 3D engineering was published in 2025 and established a system for tagging data objects with persistent identifiers (ID) for traceability of product data across different manufacturing systems and suppliers. This traceability is essential for establishing a digital thread, a common pillar in Model-Based Enterprise initiatives, to ensure data quality and accountability, root-cause analysis of errors, and in some cases regulatory compliance. Complete persistent ID support has been incorporated into release 8.0 of the Kubotek Kosmos libraries allowing traceability of critical product data from proprietary CAD formats as it moves into standard STEP files used in various applications across manufacturing and inspection.

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Through membership in the product data exchange consortium PDES since 2019, Kubotek Kosmos is an active participant in development, testing, and implementation of the STEP file formats. Aside from assisting in persistent ID projects, the Kosmos team has also implemented AP242 support for standard machined feature holes data (semantic holes) which are tagged to faces of the model.

SAVED VIEWS WITH CUTTING PLANE — To aid recipients in understanding a complex part, 3D product definitions commonly include saved view definitions containing camera orientation, zoom scale, and sets of annotations related to that view. These views are supported in the STEP AP242 standard and the 8.0 release expands toolkit support for such views which have been trimmed by a cutting plane to expose internal details. These limited views directly connected to the model meet a critical need in manufacturing which was formerly met with digitally disconnected drawings.

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STEP XML — For 8.0 the Kosmos API also added support for reading STEP XML, the Part 28 STEP format for storage of complex product assemblies. STEP XML is commonly used for long term archiving of 3D product designs in Aerospace and Defense industries, in which some systems remain in service long after the software systems used to design them are deprecated.

“With 3D Framework 8.0, we continue our mission of empowering developers with the fastest, most interoperable geometric foundation available. Our expanded support for STEP AP242 Edition 4 and STEP XML directly reflects our involvement in global standards development. As a board member of PDES, Inc., I’ve seen firsthand how the evolution of these standards is enabling more reliable and efficient digital thread implementation across manufacturing. This release gives software teams the tools they need to fully participate in that transformation.”
— Ram Eswaran, CTO/COO, Kubotek Kosmos; Board Member, PDES, Inc.

Tightly Connecting 3D Quality Systems with QIF
Another ISO standard file format published in 2020 called QIF (Quality Information Framework) serves the specialized 3D digital thread and data exchange needs of the metrology and inspection community. Support for reading precise part models, connected product manufacturing information, and their persistent IDs from QIF files is now included in the 8.0 version of the 3D Framework libraries. The Kosmos libraries support enrichment of such model-based datasets, with native objects for annotations and dimensions, planes, points, centerline, etc. as well as semantic PMI, utilizing full digital thread connection to the original product data. An example capability in this area is a new API function used in quality operation planning applications to automate cloning and support re-positioning of pattern tolerance annotations. Unlike the traditional drawings used for this purpose, the 3D Framework maintains links between the clone annotations and the original tolerance definition.

Digital Thread Focused Modeling Kernel
The 8.0 release continues to improve on the toolkit’s established modeling capabilities and performance in various areas such as Boolean volume operations, skinning through profiles, sweeping profiles through space, and imprinting curves along a vector onto surfaces.

Support for adding fillet and round features to solid models (aka blending) has grown significantly in 8.0 with handling of capping of multiple faces adjacent to the new blend face. Blending operations often change model topology and legacy modeling kernels commonly generate new internal IDs for the resulting edge and face objects. Maintenance of object IDs even as the Kosmos kernel expands to handle more sophisticated blending cases supports digital thread connectivity to the original model.

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TubeAnalytics Launches to Show Creators Exactly How To Succeed on YouTube

MTS Staff Writer

March 26, 2026

SplashBI Names Brian Morgan Regional Sales Director for North America

A new platform by TubeAnalytics helps creators move beyond raw metrics with clear, actionable insights on what to do next to grow their YouTube channel.

TubeAnalytics, a new analytics platform built for solo creators and small teams, announced its official launch. The platform is designed to answer a practical question most tools overlook: what should a creator do next to grow their channel? By turning complex performance data into clear, actionable direction, TubeAnalytics aims to replace confusion with focus.

For years, YouTube creators have relied on dashboards filled with views, watch time, click-through rates, and retention graphs. While these metrics offer insight, they often leave creators unsure how to act. TubeAnalytics addresses this gap by analyzing channel data and translating it into specific recommendations that guide content decisions.

Unlike traditional analytics platforms, TubeAnalytics focuses on simplicity and execution. The system evaluates performance patterns across videos and identifies opportunities for improvement, such as content topics to revisit, formats to double down on, and areas where audience drop-off can be reduced. The result is a workflow that helps creators spend less time interpreting data and more time creating.

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“Most analytics tools stop at telling you what happened,” said the founder of TubeAnalytics. “We built this to answer what actually matters. What should you do next? That shift changes how creators approach growth.”

The platform is built with solo operators in mind, particularly those treating their channel as a business rather than a hobby. As the creator economy continues to mature, more creators are looking for systems that support decision-making, not just reporting. TubeAnalytics reflects this shift by prioritizing clarity over complexity.

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Early users report that the platform reduces guesswork and shortens the feedback loop between publishing content and improving results. Instead of sifting through multiple metrics, creators receive a focused set of insights that can be applied immediately.

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Hosting.com launches AI application hosting platform, enabling developers to build and deploy faster than ever

PRNewswire

March 26, 2026

Hosting.com launches AI application hosting platform, enabling developers to build and deploy faster than ever

Hosting.com has launched its new AI Application Studio & Hosting platform, powered by Cloudflare Enterprise, AMD EPYC infrastructure and Nova by WebPros, enabling developers and businesses to build, deploy and operate AI-generated applications securely and at speed.

As AI tools lower the barrier to building software, more businesses are creating applications without the infrastructure or security expertise required to run them in production. This is creating a gap between how easily software can be built and how securely it can be deployed.

hosting.com’s platform addresses this by combining AI-powered development with enterprise-grade infrastructure, embedding security, performance and hosting into a single environment so builders can focus on creation.

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AI-assisted development is now mainstream. 92% of US developers use AI coding tools, while 82% of developers globally use them weekly. At the same time, 75% of R&D leaders report concerns around the security and data privacy risks associated with AI-generated code.

“Today, we’re taking it a step beyond AI website builders and making it easier and more secure than ever for developers and businesses to get from idea to domain,” said Ben Gabler, Chief Product Officer at hosting.com.

The platform supports two core journeys: “Build”, using hosting.com’s Nova-powered AI studio developed with WebPros, and “Launch”, enabling developers to deploy applications created in tools such as Cursor and Windsurf into a secure hosting environment.

“We are at an early stage of AI-assisted development, but the models and tools are already causing a dramatic shift in what’s possible,” said Dave Koston, SVP Software Engineering at hosting.com, “and we want to give people the best platform to deploy and operate what they create.”

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Key features include CDN performance powered by Cloudflare Enterprise, compute on AMD EPYC infrastructure, built-in security protections, instant deployments, and integrations with leading AI development tools.

“The software and applications being created today are often put together by people who, six months ago, you wouldn’t believe would be building,” said Seb de Lemos, CEO at hosting.com.

“Nova is redefining how businesses and teams create digital experiences, helping customers move faster and bring their vision to life. We’re thrilled to expand our partnership with hosting.com” said Jesse Asklund, Chief Product Officer at WebPros.

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Docusign Introduces AI Contract Review Assistant to Streamline Agreements Workflows

PRNewswire

March 26, 2026

Docusign Introduces AI Contract Review Assistant to Streamline Agreements Workflows

Bringing conversational AI to the Docusign Intelligent Agreement Management platform to analyze contracts, suggest edits, and draft playbooks

Docusign introduced a new AI-powered contract review assistant, designed to help legal teams review agreements faster and keep business moving through the entire agreement process. The new experience is powered by Iris, Docusign’s agreement AI engine, and is built directly upon the Docusign Intelligent Agreement Management (IAM) platform.

Contract review is one of the most important steps in the agreement process, but it’s also one of the most time-consuming. Teams like legal, sales, procurement, and more often review contracts in a painstaking way, manually comparing terms against company policies and suggesting edits. Many organizations rely on legal playbooks to guide reviews, but building and maintaining those playbooks manually requires significant effort.

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Docusign’s new contract review assistant streamlines work while keeping legal experts in control. With this new experience users can:

Quickly understand what matters in a contract: The assistant analyzes agreements and highlights key terms, risks, and deviations based on company standards and past negotiations.
Get answers without digging through pages: Legal teams can ask questions such as “Does this contract auto-renew?” and receive answers that link to the exact terms in the contract.
Speed up edits and negotiations: The assistant can suggest redlines, generate edits, and draft new contract language for reviewers to evaluate.
Ensure contracts follow company standards: Agreements can be automatically compared against company playbooks to flag terms that don’t match policy.
Create playbooks faster: If a company doesn’t have a playbook, teams can upload a template or reference document and automatically draft a structured playbook to guide future reviews.

By reducing manual work, legal teams can spend more time on negotiation, risk management, and business strategy.

“Contract review has traditionally been one of the biggest bottlenecks in how agreements move through a business,” said Dmitri Krakovsky, Chief Product Officer at Docusign. “With the new contract review assistant, legal teams can quickly understand contracts, identify risks, and generate edits in seconds. Because it’s built on the Docusign IAM platform, those actions flow directly into the broader agreement workflow, helping legal stay connected with sales, procurement, HR, and other teams across the company.”

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Part of the broader agreement workflow
Because the new assistant is built on the Docusign IAM platform, contract review fits seamlessly into agreement workflows across the business – including legal, sales, procurement, and HR. Teams stay aligned as agreements move seamlessly from contract creation and review to signature and ongoing management.

Why it matters
Agreement management is increasingly recognized as an important driver of business performance. According to Deloitte’s 2025 report on optimizing agreement management, over 70% of legal leaders believe that agreement management tools helped improve caseloads, get better legal outcomes in disputes, and increase sales team satisfaction scores. At Docusign, our own legal team has seen similar benefits. Using AI-powered contract review, they’ve significantly reduced the time spent on customer and vendor contract review – saving up to 15 minutes per NDA and cutting MSA negotiation time by 30 minutes to an hour.

With the introduction of the contract review assistant, Docusign continues expanding the capabilities of its Intelligent Agreement Management platform, helping organizations transform how agreements are created, reviewed, signed, and managed across the business.

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State and Local Governments Turn to Box to Modernize Workflows with Secure AI

Business Wire

March 26, 2026

State and Local Governments Turn to Box to Modernize Workflows with Secure AI

Box’s State and Local Government Summit spotlights public-sector use cases, demonstrating secure, compliant AI-powered content management

Box, Inc. , the leading Intelligent Content Management (ICM) platform, highlighted how state and local governments are transforming operations with secure, AI-powered content at its annual State and Local Government Virtual Summit. The summit featured speakers from the City and County of Denver, who shared how they are using Box as an AI-powered content management platform to modernize case workflows and deliver faster, more secure, and more responsive public services, alongside Box executives including CEO and co-founder Aaron Levie.

“State and local governments are under pressure to deliver faster, more transparent services while navigating constrained budgets and legacy technical debt,” said Murtaza Masood, Box’s Vice President & Global Managing Director, Public Sector. “AI presents major opportunities, but also real concerns around security, compliance, and implementation. Box’s centralized, secure, AI-powered content platform helps agencies modernize operations, meet regulatory demands, improve mission delivery, and lower IT costs.”

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In addition to the City and County of Denver, numerous local government customers rely on Box to intelligently manage their content workloads so they can focus on serving constituents. These organizations represent a variety of use cases, including:

The Texas Department of Motor Vehicles implemented Box AI to automatically extract key information from forms and records, reduce manual review, and accelerate workflows, all while maintaining the security and compliance standards required of a public agency;
The Los Angeles City Employees’ Retirement System (LACERS) utilizes Box Hubs and AI to foster responsive member services and team collaboration. LACERS also leverages Box as a FedRAMP and GovRAMP authorized content collaboration platform;
Rockland County, New York deployed Box across Legal, Health, and Personnel departments for litigation and contracting management as well as real-time collaboration for a more efficient, connected government organization.

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Since the unveiling of Box AI in May 2023, Box has been at the forefront of delivering secure, compliant AI-driven content insights, backed by some of the industry’s most comprehensive sets of security and compliance standards, including CJIS, HIPAA, GovRAMP High, FedRAMP High, and DoD IL4. Built on a centralized, cloud-based content platform, Box enables public sector agencies to securely share, manage, and act on content – from spreadsheets and documents to images and videos – and apply AI to extract key information, get accurate answers, and accelerate workflows in a secure, governed, and permissions-aware environment.

With Box, public sector agencies can:

Eliminate content silos, consolidate and turn unstructured data into actionable content, and enable discoverability and scale; Box ECM solutions offer high scalability, mobile first and cloud native experiences;
Connect to critical business applications, including Microsoft Office 365, Google, ServiceNow, Salesforce, Workday and more;
Provide security, compliance, and auditability with AI-driven auto-document classification for compliance and simplified audits;
Seamlessly administer CJIS, HIPAA, FedRAMP High, GovRAMP High and DoD IL4 requirements;
Transform case processing, strengthen compliance, and benefit administrations from end to end;
Leverage multiple AI LLMs with Box’s agnostic approach to providing access to many different models – eliminating the need for contracts with each LLM vendor.

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Domo Adds Spreadsheet-Native Exploration and New Semantic Layer to Its Agent-Building Platform

Business Wire

March 26, 2026

Domo Adds Spreadsheet-Native Exploration and New Semantic Layer to Its Agent-Building Platform

The update brings familiar workflows like spreadsheets and structured reporting into a governed analytics platform, reducing the friction between data questions and business answers

Domo announced a major upgrade to its core business intelligence experience, introducing new capabilities that make it easier for business users to work with data while giving analysts stronger modeling tools and giving data teams better governance control.

Domo’s latest update brings more familiar ways of working, such as spreadsheets and structured reporting, directly into an agent-building platform.

For years, business intelligence tools have asked people to adapt their workflows to specialized analytics software. Domo’s latest update brings more familiar ways of working, such as spreadsheets and structured reporting, directly into an agent-building platform.

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Unveiled this week at the company’s annual Domopalooza conference, the update introduces Worksheets, a spreadsheet-like way to interact with data directly inside Domo, along with Report Builder for PDF, a new tool for producing formatted executive reports. It also adds Data Models and semantic layer enhancements that help organizations maintain consistent definitions and relationships across their data.

Together, these capabilities shorten the path from asking a question to delivering an answer the business can act on.

“For years, BI tools have forced people to adapt their workflows to the software,” said Daren Thayne, CTO at Domo. “We’re turning that model around by bringing familiar ways of working into a governed agent-building platform, anchored by a semantic layer that keeps business definitions consistent. That combination makes it much easier for teams to move from exploring data to acting on it.”

Bringing Familiar Workflows Into an Agent-Building Platform

One of the most anticipated additions is Worksheets, a spreadsheet-style experience built directly into Domo. Available now, Worksheets give users a familiar environment to work with data while staying connected to governed datasets across the platform. They also allow organizations to provide flexible, self-service exploration without impacting curated dashboards and applications, helping teams maintain control over formal data experiences.

The new Report Builder for PDF, currently entering beta, addresses one of the most common requests from enterprise teams: producing polished reports for executives and stakeholders. Users can design multi-page reports with full control over layout, while long tables paginate automatically and reports can be scheduled for delivery. Combined with Domo’s existing data permissions, reports can also be personalized and distributed securely at scale.

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A Stronger Data Foundation for Enterprise Analytics

Domo is also introducing Data Models, now in beta, which allow teams to define relationships between datasets once and reuse them across the Domo platform. This creates a consistent data structure that analysts and business users can rely on without rebuilding logic repeatedly.

Enhancements to Domo’s semantic layer expand how organizations define and manage business context across the platform. Teams can establish shared entities and business definitions while attaching metadata to calculated fields so those definitions remain consistent across dashboards and applications. A new Schema tab provides a centralized place to view column-level metadata and descriptions, helping maintain clarity and governance as data environments grow.

These improvements reinforce Domo’s role as the insight and decision layer within modern data architectures, helping organizations move from analysis to action.

Advancing an Open Data Ecosystem

To support that consistency across modern data environments, Domo also re-affirmed its commitment to the Open Semantic Interchange (OSI) initiative, an emerging industry standard for semantic interoperability. Through this effort, Domo will support shared semantic definitions across platforms, including collaboration with partners such as Snowflake.

By aligning with the OSI standard, Domo allows customers to maintain consistent business logic across modern cloud data environments while continuing to work with that data directly in Domo.

Additional Platform Enhancements

The update also includes several improvements that streamline everyday analytics workflows:

Inline Chart Editor (GA): Edit visualizations directly on dashboards without returning to the Analyzer interface.
App Studio Enhancements: New KPI components, multi-layer visual elements, and modernized filter controls.
Google Fonts Support (Coming Later This Year): Expanded design flexibility for building customized data applications.

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MiQ Acquires Adsmovil, Creating Largest Independent Programmatic Offering In Latin America

Business Wire

March 26, 2026

MiQ Acquires Adsmovil, Creating Largest Independent Programmatic Offering In Latin America

Acquisition combines Adsmovil’s market-leading retail media, mobile and DOOH capabilities with MiQ’s AI-powered operating system to serve global brands across the region

Global programmatic media partner MiQ announced that it has signed an agreement to acquire the Latin America business of digital advertising provider, Adsmovil. The combined company will form the region’s largest independent programmatic solution for brands and agencies.

“Acquiring Adsmovil is a major step in our strategy to build the most complete, data‑driven programmatic offering for clients in LatAm and around the world,” said Gurman Hundal, Co‑Founder and Global CEO, MiQ.

MiQ offers programmatic media solutions across all major advertising channels. The company’s AI-powered operating system, Sigma, offers clients the ability to connect the entire ad ecosystem together through 700 trillion global signals to reach audiences wherever they are watching television, browsing the web or buying in-store. As the company accelerates its investment in high-growth markets, this acquisition significantly strengthens its presence in LatAm across 12 markets including Mexico, Brazil, Colombia, Argentina, Chile, Costa Rica, Ecuador, El Salvador, Guatemala, Peru, Puerto Rico, and Uruguay.

Adsmovil specializes in data-agnostic audience segmentation and omnichannel activation. The company boasts one of the most robust mobile, commerce and digital out-of-home solutions, backed by a strong first-party data footprint and deep regional expertise. In May 2026, MiQ will formally launch Sigma in LatAm, further bolstering its technology with integrated data from Adsmovil Personas and the company’s multi-channel retail media platform, Linki.

By combining Adsmovil’s regional scale and offerings with MiQ’s global footprint and award-winning technology, the acquisition brings together over 150 employees across the region. The combined company will provide advertisers with a single engine to execute sophisticated, full-funnel programmatic strategies, featuring more than 400 million unique IDs on what people are watching, browsing and buying.

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Global holding company clients will be able to reach and impact LatAm audiences more effectively, accessing a broader set of inventory and formats while benefiting from unified planning, activation and optimization through MiQ. Existing MiQ clients in the region will see enhanced solutions spanning mobile, retail media, CTV, video, YouTube and DOOH, all delivered via managed service teams on the ground in key markets.

“Acquiring Adsmovil is a major step in our strategy to build the most complete, data-driven programmatic offering for clients in LatAm and around the world,” said Gurman Hundal, Co-Founder and Global CEO, MiQ. “As a company, our ambition has always been to connect advertisers to audiences wherever they are and however they engage with media. This acquisition allows us to include this region’s most talented minds and compelling services with our ambitious roadmap. Their focus on innovation, measurable outcomes and client partnership closely mirrors ours at MiQ.”

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“When we built Adsmovil, our goal was simple: create and deliver best-in-class solutions for clients across Latin America,” said Alberto “Banano” Pardo, Adsmovil Founder and CEO. “With this acquisition, MiQ’s clients gain that edge through expanded access to mobile, retail media, and DOOH, while Adsmovil’s clients benefit through connection to MiQ’s award-winning technology and global scope. It’s a win-win for all of our clients.”

Following the close of the transaction, Adsmovil’s LatAm business will be integrated into MiQ and will be led by Eric Tourtel, CEO of Latin America. Banano will stay on as Chairman of MiQ LatAm and operate as a hands-on advisor to the combined entity. He will also operate Adsmovil’s U.S. business as a separate, standalone company. The U.S. business is not included in this transaction.

“We are energized to join these teams together. With more than 150 people across Latin America, we are now the largest independent programmatic offering in the region, giving us the strength to help our clients excel and meet their business goals in 2026 and beyond,” said Eric Tourtel, LatAm CEO, MiQ.

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One Size Fits None: Why the Future of AI Interfaces Must Be Radically Adaptive

Katie Krol

March 26, 2026

One Size Fits None: Why the Future of AI Interfaces Must Be Radically Adaptive

When ChatGPT was released to the public in late 2022, I was conducting user research on conversational AI, giving me a front-row seat to one of the most rapid technological pivots in recent history. After the initial novelty of using large language models (LLMs) wore off, my colleagues and I started asking a new question: what do people want AI interfaces to become next? To answer it, we went to the users who spend the most time using them.

To help participants imagine what AI interfaces could look like in five years, we built an interface toolkit designed to bridge the present and the future. We analyzed the attributes of today’s interfaces, from standard chatbots to agentic platforms, and combined them with inspiration from science fiction to create a library of interface elements.

We organized these elements into 47 distinct “building blocks” across four areas: Triggers (how tasks start), Outputs (how results are delivered), Customization (personalization settings), and Task Oversight (monitoring progress). We asked experienced AI users to share what they like about current tools, design ideal interfaces for five real-world scenarios, and share their most “blue sky” ideas. Every input was mapped back to the same set of building blocks.

By triangulating those three data streams, we uncovered four themes that point to the next era of AI interface design.

1. The Future is Seamless and Ambient

Right now, most people experience AI in one place: a single app or chat window. In the next five years, users expect it to follow them across devices and contexts. When we asked participants to describe their ideal AI interaction they described an ambient, multimodal presence that moves with them.

83% of participants described a future where their conversation with an AI continues seamlessly across devices. While text still matters, participants said they want their experiences to be centered around voice, mentioning voice commands and spoken responses far more often than text.

Participants also wanted this “invisible partner” to respond to context, not just commands. Many expressed interest in passive triggers like location-based cues and biometric sensors so the AI would understand when and where it’s needed without being asked.

As one participant described: “I’d like it to be integrated and seamless. When I get in my car, [it] just would transition through the car, and then to my smart home, to really have that constant connection.”

2. The Experience Must Be Deeply Personal

AI users in our study largely think of AI less like a software tool and more like a human relationship. When we tell a close friend something, we expect them to remember it. We don’t want to explain that we are vegetarian every time we order dinner, we expect them to know.

Participants prioritized deep customization because they want AI to honor this same social contract. They want to front-load an AI with information and they want it to retain and apply that knowledge proactively.

One user noted they wanted an AI that “just gets me”, while another noted: “In 2030, it [should] actually be able to learn my routines … what I should be eating … know the ins and outs of my work … or even bring up a song. It’ll know my music taste.””

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3. The Dominant Model is Delegation (With Transparency)

One of the biggest shifts we saw was a move away from collaboration and toward delegation. For years, the industry has focused on “human-in-the-loop” systems, where a user and AI constantly pass the baton back and forth. However, our data suggests that users are tired of micromanaging; they want to stay in control, but not do every step themselves.

Many participants said they were ready to delegate tasks to AI like meal planning and travel booking. To borrow a Star Trek reference, they want to be the Captain on the bridge, saying “Make it so,” rather than the Engineer tweaking the engine.

However, autonomy comes with a condition: transparency. Participants said they want AI to provide “glass box” interfaces that offer them final control. For example, if an AI is booking a flight, they want to see the plan and approve it before anything is confirmed. As one participant put it, “My ideal AI would be one that is competent and can complete tasks on its own, but never without my oversight and direction.”

4. AI Interaction Needs are a Spectrum

To create a true “one-size-fits-all” partner, AI interfaces will need to be radically adaptive. Our data showed that users do not wish to interact with AI in a single way; they shift between mindsets depending on the task.

Our network analysis identified five primary user mindsets:

The Delegator: The “human-at-the-lever” who wants fast, autonomous execution (with clear visibility and final control).
The Pragmatist: The “human-in-the-loop” who prefers real-time co-creation to build trust.
The Confider: A companion-focused user who values constant presence.
The Deliberator: A cautious user who wants a sounding board for complex decisions.
The Vibe-setter: A user looking for immersion and atmosphere.

The winning interfaces of 2030 will be able to detect these shifts in real-time. The same user might be a Delegator when ordering groceries (“Just get the usuals”) but a Deliberator when planning a vacation (“Where should we go?”). The interface needs to change its tone, pacing, and autonomy to match the moment.

The Road Ahead

AI users are no longer asking, “What can this cool technology do?”, but more practical questions like, “How can this partner help me live my life?”

Building for this future requires a pivot in design thinking. We need to move beyond the chat box and build interfaces that are personal enough to know us, transparent enough to earn trust, adaptive enough to match our changing mindsets, and capable enough to let us step back, as long as we can keep one hand firmly on the control lever.

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The Trade Desk Appoints Drew Vollero to Board of Directors

Business Wire

March 26, 2026

The Trade Desk Appoints Drew Vollero to Board of Directors

The Trade Desk , the world’s leading independent advertising technology company, announced the appointment of Drew Vollero to its board of directors.

Vollero brings deep financial and operational expertise, with a proven track record of helping high-growth technology companies scale and navigate complex market dynamics. With more than three decades of experience across public and private markets, he brings a strong perspective on long-term value creation and disciplined growth.

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Vollero currently serves as Reddit’s first Chief Financial Officer (CFO), where he has built and scaled its financial infrastructure and guided the company through a successful IPO in March 2024. Prior to Reddit, Vollero was the CFO of Allied Universal, the largest U.S. security and facility services firm. In addition, he served as Snapchat’s first CFO, guiding its IPO and transition to a public company. During his tenure at Snap, Vollero led financial strategy and operational efficiency through periods of significant transformation and expansion.

“Drew’s extensive experience as CFO and his ability to guide organizations through periods of growth make him an exceptional addition to our board,” said Jeff Green, CEO and Co-founder, The Trade Desk. “His financial acumen, strategic mindset, and leadership across some of the most dynamic companies in technology will be invaluable as we continue to scale globally and deliver long-term value for our clients and shareholders.”

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“I’m excited to join The Trade Desk board at such a pivotal time in its growth journey,” said Vollero. “The Trade Desk has built a strong foundation and powerful platform grounded in innovation for its advertising clients. I look forward to partnering with Jeff and the leadership team to help drive momentum and shape the future of the advertising ecosystem.”

Vollero began his career in corporate finance and held various financial, operational, and business development roles at Mattel and Pepsi. He has a B.A. in mathematics and economics from Yale University, graduating magna cum laude, and an M.S. in management from Oxford University.

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BigID Extends Data Access Governance to AI Agents

PRNewswire

March 26, 2026

BigID Extends Data Access Governance to AI Agents

Expansion of BigID’s DAG and DAM capabilities brings identity controls, least-privilege enforcement, and real-time activity monitoring to non-human AI entities

BigID announced the expansion of its Data Access Governance (DAG) capabilities to cover AI agents: the autonomous, non-human entities now operating inside enterprise environments with broad data access and little oversight.

The next wave of insider risk isn’t human: it’s the agents we deployed to help us, operating without visibility or guardrails. Agentic AI is no longer an emerging consideration – agents are browsing internal systems, retrieving sensitive records, writing to databases, and acting on behalf of users today, often with permissions set months ago, never reviewed, and scoped far too broadly. They operate continuously, at machine speed, across systems that cross organizational boundaries. Most enterprise governance frameworks were not built for them.

BigID now is.

“Access governance has always focused on people,” said Nimrod Vax, Chief Product Officer and Co-Founder at BigID. “Agents are now first-class data consumers, and they’re operating at a scale and speed that makes traditional review cycles irrelevant. BigID extends the same data-centric governance model we apply to humans directly to agents.”

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What’s New

Agent Identity Discovery and Mapping. BigID automatically discovers AI agents operating in the environment, cataloging the data stores they access, the permissions they hold, the systems they touch, and the scope of their activity. If an agent is interacting with your data, BigID knows about it.

Access Right-Sizing for Non-Human Identities. Apply least-privilege principles to AI agents the same way you apply them to human users. BigID compares provisioned access against actual access behavior and surfaces remediation paths for over-permissioned agents before a misconfiguration creates an incident.

Real-Time Agent Activity Monitoring. Track what AI agents are doing with data in real time: reads, writes, data movements, cross-system access, with full classification context attached. Security teams see not just that an agent accessed a record, but what sensitivity that record carries and whether the access was in policy.

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The BigID Difference

Identity governance was built for humans, and agents aren’t humans. They don’t log off, don’t forget, and don’t stop when something looks wrong. They operate at a scale and speed that makes traditional review cycles irrelevant. BigID extends its proven data-centric governance model to non-human identities natively: the same discovery engine, the same classification layer, the same risk framework, applied to entities that never stop running.

Other vendors are retrofitting human IAM tools to handle agents. BigID governs agents at the data layer, where the actual exposure lives, understanding not just who accessed what, but what that data is and whether that access should have happened at all.

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Unchained Launches Journey Works AI: The First AI Operating System Purpose-Built for Destination Marketing Organizations

Business Wire

March 26, 2026

Unchained Launches Journey Works AI: The First AI Operating System Purpose-Built for Destination Marketing Organizations

The platform gives DMO teams back thousands of hours a year by automating the operational grind that keeps them from the work that actually moves the needle.

Unchained, a strategic AI consultancy, announced the launch of Journey Works AI, the first artificial intelligence platform designed specifically for the operational realities of destination marketing organizations and convention & visitors bureaus.

“Working with Unchained has helped our organization navigate the quickly evolving landscape of AI and understand where to start.” – Matt Vinson, Director of Marketing, Visit Dallas

Journey Works AI is not another chatbot. It is not a prompt tool bolted onto a CRM. It is a full AI operating system with over 50 specialized agents that automate the predictable, repeatable functions that consume the majority of a DMO team’s time, from board reporting and grant compliance to campaign attribution, partner equity tracking, and RFP response.

The Problem Every DMO Knows but Nobody Has Solved

DMO teams are running lean. Budgets are flat or shrinking. Stakeholder expectations are growing. And the operational load (board packets, grant reporting, partner communications, data pulls, compliance tracking) eats the hours that should be going toward storytelling, creative strategy, and building real relationships with travelers.

Most AI solutions on the market today offer generic tools that require significant customization, or they solve one narrow problem. Journey Works AI was built from the ground up around how DMOs actually operate, using the language, data sources, workflows, and reporting structures that destination marketers already use.

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What Journey Works AI Actually Does

The platform is organized around the core functions of a DMO and delivers AI agents that handle each one. The most immediately impactful capabilities include:

Connect your intelligence and partners. Journey Works AI connects marketing intelligence partners, CRM, STR, GA4, social platforms, footfall data, airlift metrics, and survey data into a single queryable system. Ask a question in plain language and get an answer that pulls from every source you have. No more logging into six platforms to build one report. We work with your partners to operationalize your insights.

Automated Board and Stakeholder Reporting. The platform assembles board packets, monthly reports, and annual impact summaries by taking your department update emails, pulling live data, generating charts, and writing narrative context. What used to take a week now takes minutes.

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Campaign Attribution That Connects Spend to Impact. Journey Works AI measures marketing performance across channels and ties media spend to website traffic, foot traffic, bookings, and economic impact. No more guessing which campaigns actually moved the needle. It’s like having a data scientist on staff.

Customized Persona Testing. Before you spend a dollar on creative, test messaging and campaign concepts against AI generated audience personas built from your actual visitor data. Validate creative direction before committing spend.

Partner Equity and Visibility Tracking. Every DMO hears it: “Why isn’t my business showing up in your marketing?” Journey Works AI audits all marketing output to measure exactly how frequently each partner appears, identifies gaps, and generates partner specific performance reports.

Convention Sales Acceleration. The platform drafts RFP responses using your destination data and historical win rates, builds convention proposals specific to the requests, researches prospective organizations, and calculates economic impact using DI methodology.

Grant Writing and Compliance. Journey Works AI drafts grant applications using your program data, tracks deliverables against budget, monitors reporting deadlines, and auto generates interim and final reports with the required documentation.

Crisis Communications on Demand. When the unexpected hits, the platform generates crisis response frameworks, press statements, internal talking points, and social media responses organized by scenario type. Ready when you need it, not after three rounds of approvals.

Built to Work with Your Existing Stack

Journey Works integrates with the platforms DMOs already rely on; marketing intelligence partners, CRM, lodging data, analytics, social, advertising, finance, and productivity tools across 11 categories. It does not replace your tech stack. It connects it into a single operational layer.

“Every hour an agent saves on reporting, contract review, scheduling, or data pulling is an hour your team gets back for the work that only humans can do: telling your destination’s story.”

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H2O.ai and CTC Global Singapore Have Partnered Together To Democratize Agentic AI Across APAC

Business Wire

March 26, 2026

H2O.ai and CTC Global Singapore Have Partnered Together To Democratize Agentic AI Across APAC

H2O.ai, the leading open-source AI platform company, and CTC Global Singapore, a trusted technology integrator across Asia Pacific, announced a collaboration to accelerate enterprise AI adoption across the region. The collaboration was formalized at a signing ceremony in Singapore, marking a milestone in delivering trusted, production-grade Agentic AI designed to support users in secure and regulated environments.

This partnership directly addresses the evolving needs of APAC enterprises:

Moving beyond proof-of-concepts into production at scale
Driving business outcomes—not just model accuracy
Standardize on a single, governable AI platform for predictive and generative AI

Together, H2O.ai and CTC Global Singapore are enabling organizations to close the last mile between AI ambition and enterprise value. The collaboration brings together H2O.ai’s AI platform and CTC Global Singapore’s integration and delivery capabilities, empowering business users with intuitive tools, while ensuring full control, governance, and security by design.

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“The last mile of Enterprise AI is 99 miles,” said Sri Ambati, CEO of H2O.ai. “Our partnership with CTC Global Singapore bridges that critical gap of local implementation outreach for our Banking, Telco and public sector customers in Asia bringing Agentic AI to life, combining GenAI and Predictive AI in a secure, explainable, and scalable way. Whether it’s on-premise, private cloud, or air-gapped deployments, we’re delivering AI that enterprises can trust. We want to raise a forest, not just a tree, and co-innovation and partnerships like this helps the entire ecosystem grow.”

Peh Swee Hong, Chief Technology Officer of CTC Global Singapore, noted: “This collaboration is about democratizing AI for real-world impact. By integrating H2O.ai’s platform into our ecosystem, we are helping customers move from experimentation to execution—securely, cost-effectively, and with robust data ownership and deployment flexibility. Our partnership has already achieved significant traction within the financial services industry, but this is just the beginning. Our goal is to bring the transformative power of AI to all sectors, delivering sustainable value and capturing new growth opportunities in the broader market.”

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Yoshihiko Ito, Managing Director of CTC Global Singapore, added: “As the AI landscape continues to evolve, CTC Global Singapore is uniquely positioned to meet the rising demand for enterprise-grade AI at scale. This partnership reinforces our commitment to ‘Challenging Tomorrow’s Changes’ by ensuring our clients have the expertise and resilience to lead in an AI-driven era.”

The partnership will focus on key sectors including public sector, financial services, and manufacturing, where demand for Agentic AI is rapidly growing. With built-in explainability, auditability, and governance, the platform is designed to support the stringent requirements of regulated industries.

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Comcast Advertising Launches Outcomes+, a Next Gen Targeting and Attribution Solution Across Traditional and Streaming TV

Business Wire

March 25, 2026

Comcast Advertising Launches Outcomes+, a Next Gen Targeting and Attribution Solution Across Traditional and Streaming TV

Includes new AI-powered products leveraged by Comcast’s deterministic data and full-funnel attribution products supported by new and expanded partnerships with Mastercard, Clarivoy, DISQO, Fandango, S&P Global Mobility, and others.

Comcast Advertising delivers Prime Video access for local and SMB advertisers through a new Amazon Ads partnership.

Comcast Advertising, the advertising division of Comcast, announced Comcast Advertising’s Outcomes+, a new solution that gives advertisers unparalleled targeting and attribution across the company’s premium TV and streaming inventory. Powered by Comcast’s unique combination of media, data, and technology, Outcomes+ delivers enhanced outcomes with a portfolio of AI-powered products activated by Comcast’s first-party data and attribution products backed by best-in-class partnerships.

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Additionally, Comcast Advertising announced a new partnership with Amazon Ads, giving its local and small-to-medium sized customers access to Prime Video for the first time. These advertisers can now access Amazon Ads premium streaming audiences, which has an average U.S. monthly ad-supported reach of 200MM, unlocking new opportunities to reach relevant audiences at scale. Comcast Advertising is partnering with Amazon DSP to execute these media buys.

“TV has always been a performance driver but achieving and proving that performance hasn’t always matched the simplicity of digital. Outcomes+ transforms that reality,” said Dawn Lee Williamson, Chief Revenue Officer, Media Solutions, Comcast Advertising. “With AI driven precision and premium quality data, Outcomes+ empowers advertisers to find the right audiences and measure outcomes across the entire funnel—because real impact happens throughout the journey, not only at the last click.”

Outcomes+ by Comcast Advertising is an activation and attribution solution designed to help local to global advertisers target audiences from granular to broad, measure impact, and optimize campaigns. The solution is powered by deterministic data from more than 30 million Comcast households—representing over 100MM authenticated viewers. This scale is further strengthened by partnerships with premium publishers, distributors, and streaming platforms that extend Comcast Advertising’s reach to more than 300MM viewers.

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New AI-Powered Activation Products

Comcast Advertising is introducing powerful new AI-driven products that combine Comcast’s deterministic data, privacy‑safe purchase insights from leading partners, and advanced machine learning to transform the way advertisers plan and activate campaigns. These products will surface high‑value audiences across every stage of the marketing funnel, giving brands a clearer understanding of the consumers most critical to their success. They include:

An AI-powered proposal assistant that enables the creation of more customized campaign schedules, helping advertisers optimize reach, efficiency, and precision from the start.
LENS, a new AI audience discovery engine that allows clients to identify and target households with no or light exposure to national TV campaigns, whether from their own brand or competitive brands. This capability ensures incremental reach and more strategic allocation of media dollars.
Blockgraph On Demand, which allows advertisers to match their first-party data to Comcast’s data. This self-service platform enables brands to design and activate even more bespoke segments, further strengthening their audience strategies while maintaining stringent privacy standards.

As a result, Comcast Advertising helps marketers better measure true incremental reach, demonstrate media performance, and improve campaign impact. As an example, for a recent MINI USA campaign, the new AI activation products enabled insights derived from national ad exposure to create a more optimized campaign plan that sequenced addressable messaging between national, regional, and local automotive tiers. The campaign drove significant lifts in awareness and consideration, including a 300% increase in brand favorability and a 200% increase in brand recommendation intent. Additionally, participating dealers saw a conversion lift of 35% for new and used vehicles.

These new AI-powered products pair with Comcast Advertising’s ad tech arm, FreeWheel, enabling seamless campaign execution across the full breadth of ad solutions from addressable, with precise, household-level targeting across all screens, to linear programmatic, where advertisers can for the first time buy and optimize premium traditional TV inventory alongside their digital media spend, with full biddable capabilities enabled through programmatic buying platforms.

New Attribution Products

A critical component of Outcomes+ is the ability to deliver outcomes-based measurement from top-of-the-funnel brand metrics to mid- and lower-funnel search and visitation metrics through new and expanded partnerships with Mastercard (aggregated and anonymized spend insights), Sojern, previously known as Adara (travel bookings), Clarivoy (auto visits and conversions), DISQO (brand, search, visitation, and outcomes measurement), Dynata (brand lift studies), Fandango (movie ticket sales), and Polk from S&P Global Mobility (auto transactions), among others.
These partnerships match Comcast’s deterministic TV viewing data with insights from data partners, enabling advertisers to optimize campaigns and prove ROAS across all screens.
- For instance, a Q4 2025 analysis for a major auto brand matched verified Polk Signals transaction data with privacy‑safe Comcast ad‑exposure data and found that dealers participating in a coordinated national, regional, and local advertising program saw a 25% increase in vehicle purchase rates. The results showed how fully aligned messaging across all levels drives higher conversion.
Comcast Advertising clients can now easily access campaign insights in a new dashboard, myResults. Media investment across TV, streaming, addressable, and sports, paired with attribution demonstrating the impact are available in one view—vastly simplifying actionable insights across today’s fragmented ecosystem.

Expanded Access

The activation and attribution solutions of Outcomes+ drive improved campaign impact because of Comcast Advertising’s direct, scaled access to unified multiscreen audiences across the most powerful publishers in media. This now includes for the first time Prime Video for the company’s local and SMB customers.

Through a new partnership with Amazon Ads, Comcast Advertising’s local and SMB business advertisers will now have access to Prime Video, delivering programmatic access to this premium streaming inventory.
- The use of Amazon DSP enables Comcast Advertising to execute customized streaming messages by geographic location, showcasing regional offers, location-specific pricing, or local business information while maintaining the scale and simplicity of a single national buy onto Prime Video inventory.
Comcast Advertising’s robust premium video inventory encompasses leading TV publishers such as A+E Global Media (A&E HISTORY and Lifetime), NBCUniversal, Paramount, and Warner Bros. Discovery, to FAST apps like Xumo Play and FAST channels from major content studios including Lionsgate, to top streaming platforms HBO Max, Peacock, Roku, and now Prime Video.
- This includes the most high-value, culturally relevant content, from the MLB, NFL, and World Cup to Super Bowl LXI inventory.

“With the launch of Outcomes+, we’re advancing our work to level the playing field,” said James Rooke, President of Comcast Advertising. “For too long, outcomes driven by premium TV have been credited to digital platforms because of insufficient and outdated attribution approaches. With our access to premium content from the most important players in media—which now includes Amazon, more sophisticated AI-driven activation products powered by Comcast’s data, and our investment in advanced outcome measurement, we’re on a mission to redefine performance TV and deliver the clarity and accountability marketers deserve.”

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Picsart and Recraft Announce Exclusive Partnership, Granting First-Access for Exploration Mode to 130 Million+ Creators

Business Wire

March 25, 2026

Picsart and Recraft Announce Exclusive Partnership, Granting First-Access for Exploration Mode to 130 Million+ Creators

Picsart, the AI-powered design platform empowering over 130 million creators worldwide, announced the integration of Recraft V4 Exploration Mode. This new approach to generative image creation prioritizes visual discovery over the technical hurdles of prompt engineering, aligning AI technology with the natural, iterative flow of creative work.

Picsart’s community has first access to Recraft’s Exploration Mode – marking Recraft as the design platform’s first exclusive AI model partner. The partnership underscores Picsart’s strategy of moving beyond model aggregation to offer its users privileged, early access to emerging technology ahead of the wider market.

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While traditional AI tools require users to master complex engineering to get usable results, Recraft V4 is built for usability and design integrity. By entering a simple direction – such as “minimal logo” or “retro poster” – creators are immediately presented with eight distinct visual directions.

Designed for Designers, Not Just Generators

Recraft V4 distinguishes itself by prioritizing design fundamentals over simple image generation. Key features include:

Superior Typography: Unlike standard AI models where text often warps, Recraft V4 maintains clear, readable, and professional-grade lettering.
True Vector Outputs: It remains the only model offering native vector generation (SVG), allowing logos and icons to be scaled and edited without losing quality.
Design-First Logic: Outputs feature balanced layouts and harmonious color palettes, reducing the need for post-generation “fixing.”
Flexible Workflows: Support for professional export formats including SVG, PNG, JPG, PDF, TIFF, and Lottie.

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Exploration Mode: Discovery Over Description

Exploration Mode embraces the inherent messiness of the creative process. Rather than requiring a perfect prompt upfront, it generates eight distinct visual directions—ranging from the structured to the experimental. Simply select the result that resonates and use it instantly, or refine it further to perfect your vision.

Recraft V4 is now available within Picsart Flow for full-scale design projects and in the AI Playground, where users can experiment with over 100+ models in a fast-paced, side-by-side comparison environment.

A generative AI pioneer since 2016, this news follows last week’s announcement that Picsart has opened the waitlist for the first Creative AI Agent Marketplace.

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WRITER Sets a New Standard for Enterprise AI with the First Agent Skills and Playbooks for Business Teams

Business Wire

March 25, 2026

Jaarvis Expands AI Software Development Services in Australia to Help Enterprises Scale with Intelligent Solutions

New features empower Fortune 500 marketing, sales, and business teams to automate complex end-to-end knowledge work — no coding or technical expertise required

WRITER, the enterprise AI agent platform trusted by the world’s leading Fortune 500 brands, is introducing a new set of capabilities that gives teams the ability to fully leverage the power of agents as easily as they’d use any consumer app, while maintaining full enterprise security and governance controls. the company released an agent Skills creator and enhanced Playbook builder that allow non-technical employees to describe workflows, specialized expertise, and desired outcomes in natural language and automatically generate production-ready agent capabilities that can be shared across teams.

Today’s release also includes enhancements to shared Voice profiles that ensure teams operate with the same brand consistency, an expanded range of third-party Connectors, and a ready-to-use library of over 200 enterprise-specific Skills. All capabilities in the WRITER platform include enterprise-grade security management, granular role-based access control, audit trails for compliance, and data privacy protections.

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The new tools are designed to give marketing, sales, and other business teams an intuitive way to rapidly rebuild operations with agents at the center, with zero technical knowledge or coding ability required. Their ease of use marks a turning point in enterprise AI adoption.

“Until now, gains in AI productivity have been disproportionately centered on developers and early AI adopters, with IT teams becoming gatekeepers to the rest of the organization,” said Doris Jwo, Vice President of Product at WRITER. “We’re changing that dynamic. WRITER is giving business teams an intuitive framework to design and deploy agents without investing time they don’t have building deep AI and technical expertise. We’ve made agent-building as simple as using an iPhone—radically accessible while maintaining the supervision and control that IT demands.”

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Building Blocks for AI-Native Operations

At the core of WRITER’s platform is WRITER Agent, an autonomous agent that can execute and scale complex work in high-stakes enterprise environments. By connecting WRITER Agent directly to third-party systems including CRMs, content management systems (CMS), and data warehouses, marketing and sales teams are automating routine workflows, eliminating bottlenecks, and freeing resources for strategic work.

Playbooks streamline the design of multi-step workflows that can be shared across teams and triggered based on events or set routines. Users can now describe an outcome or workflow, or paste an existing process document, and with one click, WRITER converts it into executable instructions that WRITER can reliably repeat. Playbooks automatically pull in the Skills, third-party Connectors (Snowflake, HubSpot, Asana, Sharepoint, Slack, and dozens more), proprietary knowledge, and brand Voice needed to accomplish a complex task.

Skills give WRITER Agent access to specialized expertise, packaged in a reusable building block. With the new Skills creator, business teams can easily codify and share the institutional knowledge and best practices hidden inside their organizations. Users simply describe what they want, and WRITER Agent builds and deploys the ready-to-use Skill package with documentation, scripts, and icons. Skills can be shared with specific individuals, teams, or company-wide.

WRITER customers have deployed over 5,000 playbooks to automate common workflows, such as generating optimized assets in their CMS from Jira tickets; delivering performance dashboards pulled from Snowflake data and sent directly to executives via Teams; automatically evaluating assets against regulations to speed legal and compliance reviews; and crafting personalized, on-brand pitch materials pulling from CRM account data and market insights.

With WRITER’s purpose-built approach to enterprise AI, customers achieve an average 333% ROI with a six-month payback period, according to a Forrester Total Economic Impact Report commissioned by WRITER.

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PostcardMania Adds Insurance X-Date Mailers for Insurance Agents to Its Roster of Automated Direct Mail Solutions

PRNewswire

March 25, 2026

PostcardMania Adds Insurance X-Date Mailers for Insurance Agents to Its Roster of Automated Direct Mail Solutions

PostcardMania, the $100+ million marketing technology firm with more than 128,000 clients, announced the launch of Insurance X-Date Mailers, a new automated direct mail solution that helps insurance agencies and agents reach homeowners in the critical weeks before their home insurance policies renew — automatically, without adding ongoing workload.

In the insurance industry, an “X-date” refers to a policy’s expiration or renewal date. With Insurance X-Date Mailers, insurance marketers can mail postcards to homeowners right before their insurance policy expires. That personalized expiration-date data, shortened to x-date, is what gives the product its name and makes it especially relevant for insurance marketers.

For insurance agents, the lead-up time to a policy expiration is a key window when homeowners are most likely to review coverage, compare premiums, and consider switching providers. PostcardMania’s new program is designed to help agents reach prospects during that crucial decision-making period with timely, personalized direct mail.

Homeowners approaching renewal are among the most valuable audiences an insurance agent can target because they are already in a period of consideration. Studies show that homeowners who experienced premium increases were significantly more likely to shop for new coverage — 29% versus 21%. In fact, nearly a third of all respondents (32.4%) said they had contacted another insurer to get a rate within the last year.

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The highly relevant outreach of Insurance X-Date Mailers is fully automated following set up. PostcardMania’s program uses proprietary data technology that compiles homeowner and policy-timing information daily, giving it an edge over x-date mailing programs dispatched weekly or monthly.

Agents can precisely target homeowners based on several property characteristics, including:

Property type
Home value
Year built
Square footage
Geographic location

When a homeowner within an agent’s selected service area matches the chosen targeting criteria and has a renewal date approaching, a custom postcard is automatically printed and mailed. Agents can also control delivery timing and mail postcards as early as they like, whether it’s 30 days before a policy renewal or 90.

Once targeting and timing preferences are set, the system handles the rest — continuously identifying eligible prospects and sending mail automatically.

Insurance X-Date Mailers are the latest addition to PostcardMania’s growing portfolio of automation-driven direct mail products, which help businesses send relevant mail based on real-life triggers and consumer behavior. Other automated mail products from the company include:

New to Town: mailers targeting new movers within a service area
Birthday Mailers: happy birthday greetings dispatched daily
Medicare Mailers: enrollment mailers sent automatically to individuals turning 65
Website to Mailbox: personalized postcards retargeting anonymous website visitors

PostcardMania’s focus on triggered and automated mailers reflects a broader rise in responsive, automated direct mail. Within the company, revenue from daily mailer products increased 18% in 2025 over 2024, signaling growing demand for high-tech marketing solutions that combine automation with the staying power of physical mail.

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Overall, direct mail continues to resonate with consumers. According to research, 70% of consumers feel positive about direct mail, while 71% say mail feels more authentic than digital communications.

“Insurance X-Date Mailers are a great example of where marketing is headed — toward more responsive, personalized automation that helps businesses connect with people at the right moment,” said PostcardMania Founder and CEO Joy Gendusa. “We’re continuing to build solutions that make proven direct mail tactics more effective, accessible, and easier to use for business owners and marketers nationwide.”

Looking ahead, PostcardMania remains committed to delivering proven, results-driven marketing solutions that help small and medium-sized businesses generate leads, increase revenue, and grow.

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Qubika has achieved Databricks Gold Partner status, recognizing its proven expertise delivering enterprise-scale data and AI solutions across multiple industries.

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20+ AI agents handle the full analytics workflow from a single prompt. Private AI, MCP server, 70+ data sources. No data warehouse required.

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Email validation platform Truelist delivers 2x more accurate results than any other platform by combining layered multi-strategy validation techniques.

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New tool helps creators work more efficiently, repurpose existing content, and expand their reach across the open internet

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Kubotek Kosmos Launches 8.0 Release of 3D Framework Software Components

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A new platform by TubeAnalytics helps creators move beyond raw metrics with clear, actionable insights on what to do next to grow their YouTube channel.

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Bringing conversational AI to the Docusign Intelligent Agreement Management platform to analyze contracts, suggest edits, and draft playbooks

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Box’s State and Local Government Summit spotlights public-sector use cases, demonstrating secure, compliant AI-powered content management

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The update brings familiar workflows like spreadsheets and structured reporting into a governed analytics platform, reducing the friction between data questions and business answers

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Acquisition combines Adsmovil’s market-leading retail media, mobile and DOOH capabilities with MiQ’s AI-powered operating system to serve global brands across the region

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1. The Future is Seamless and Ambient

2. The Experience Must Be Deeply Personal

3. The Dominant Model is Delegation (With Transparency)

4. AI Interaction Needs are a Spectrum

The Road Ahead

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Expansion of BigID’s DAG and DAM capabilities brings identity controls, least-privilege enforcement, and real-time activity monitoring to non-human AI entities

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The platform gives DMO teams back thousands of hours a year by automating the operational grind that keeps them from the work that actually moves the needle.

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Includes new AI-powered products leveraged by Comcast’s deterministic data and full-funnel attribution products supported by new and expanded partnerships with Mastercard, Clarivoy, DISQO, Fandango, S&P Global Mobility, and others.

Comcast Advertising delivers Prime Video access for local and SMB advertisers through a new Amazon Ads partnership.

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New features empower Fortune 500 marketing, sales, and business teams to automate complex end-to-end knowledge work — no coding or technical expertise required

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