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Amplify Expands Multi-Custodial Integration with Wealthbox CRM

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Amplify Expands Multi-Custodial Integration with Wealthbox CRM

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API-first architecture allows Wealthbox client data to flow from onboarding through multi-custodial account opening, investment management and reporting within the Amplify platform

Amplify Technology, LLC (“Amplify”), the AI-native RIA operating platform built on data lake architecture, announced a new integration with Wealthbox CRM, one of the most widely used CRM platforms in the independent advisory industry. The integration allows Wealthbox client data to flow directly into Amplify’s digital onboarding workflow and continue through multi-custodial account opening, investment management, trading, and performance reporting, eliminating duplicate data entry across the client lifecycle.

The Wealthbox integration reflects Amplify’s API-first architecture, which allows firms to connect leading fintech solutions into a unified operating environment rather than managing disconnected applications and fragmented workflows. Amplify’s integrations span CRM, custody, electronic signature, and model delivery, creating a connected data layer that supports the full advisor and client experience.

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Wealthbox joins Redtail CRM, Goldman Sachs Custody Solutions, and DocuSign among Amplify’s growing integration ecosystem, which spans CRM, custody, electronic signature, and model delivery solutions designed to support a connected advisor operating environment.

“The Wealthbox integration is a good example of how we think about the all-in-one experience,” said Churni Bhattacharya, Chief Product Officer, Amplify. “Traditional all-in-one platforms offer a fixed menu where you either take what’s built in or you go without. We build where building is the right answer, and we partner where partnering is. The layer underneath remains unchanged, including unified data, execution, and presentation across every module. That’s the experience advisors actually want.”

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Firms can connect Wealthbox to Amplify through secure authorization directly within platform settings. Once connected, advisors can import client data directly into Amplify’s digital onboarding workflow, automatically populating key onboarding fields including name, address, email, date of birth, and phone number.

Amplify is a unified wealth management operating platform for RIAs, broker-dealers, and wealth management enterprises. The firm was named to WealthAdvisor’s America’s Best TAMPs in 2025 and 2026 with special distinction for Best Value and earned the highest TAMP CSAT rating (8.67) in the 2026 T3/Inside Information Software Survey. Amplify currently supports more than 655 advisors and $24.5 billion in assets on platform.

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Midnight Labs Announces Investment from Sony Innovation Fund to Lead AI-Powered IP Enforcement and Content Protection

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Midnight Labs Announces Investment from Sony Innovation Fund to Lead AI-Powered IP Enforcement and Content Protection

Midnight Labs Logo

Dubbed “The Internet’s Delete Button,” Midnight Labs is the first enforcement platform to deliver court-admissible evidence at scale, with 2.8 billion takedowns and counting

Midnight Labs, the market leader in predictive IP protection for entertainment, gaming and content industries, announced an investment from the Sony Innovation Fund. The investment will fuel the expansion of Midnight Labs’ agentic Enforcement Engine to protect high-value entertainment IP from mass piracy, deepfakes and AI-generated infringement in the U.S. and Japanese markets.

Midnight Labs, the Internet’s Delete Button, secures the full IP chain against generative AI misuse, deepfakes and piracy, including creator content, brand identity, NILV, character likeness, studio assets, and audio/video content, including live streams.

Video piracy alone will drive an estimated $125 billion in annual revenue leakage by 2028. Dubbed “The Internet’s Delete Button,” Midnight Labs delivers automated enforcement workflows that once took weeks in minutes, performing 120 hours of scanning, detection, analysis, verification and removal in just 60 seconds. To date, Midnight Labs has removed more than 2.8 billion pieces of infringing content, protecting the world’s largest streaming platforms, podcast networks, talent agencies and Fortune 100 executives. Through its creator-focused product, Ceartas (/ˈkar-tɪs/, the Irish word for justice), Midnight Labs also protects the world’s biggest content creators and creator-economy brands. Unlike traditional legacy solutions that focus on counterfeit goods, Midnight Labs focuses on the content that most directly undermines revenue and erodes reputation, including pirated films, leaked music, cloned livestreams, and weaponized deepfakes targeting talent and executives.

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“Generative AI has industrialized piracy, exposing IP holders to both financial loss and real-time reputational damage,” said Dan Purcell, CEO and founder of Midnight Labs. “A single deepfake of a CEO, created in seconds and distributed across thousands of sites, can cause immediate, catastrophic harm before a legal team can even open a ticket. Traditional digital rights management built on manual processes simply cannot keep pace with AI-generated infringement, leaving legal and content protection teams overwhelmed. We make enforcement autonomous by scanning, detecting, proving and removing stolen content faster than it can spread, returning control to IP holders over their content, reputation and revenue. The backing of Sony Innovation Fund accelerates that mission.”

Court-Admissible Evidence at Scale.

Midnight Labs is the first enforcement platform that integrates legal-grade evidence collection directly into an automated pipeline. The platform backs every takedown with a forensic evidence bundle, including time-stamped screenshots, cryptographic hashes, HTML source archives and full network records. This approach turns enforcement from a reactive legal chore into a proactive asset for rights holders and ensures IP holders receive litigation-ready documentation without manual work.

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Protecting the Full IP Chain.

Midnight Labs secures the full IP chain against generative AI misuse, deepfakes and piracy, including creator content, brand identity, NILV (Name/Image/Likeness/Voice), character likeness, studio assets, and audio/video content, including live streams. The platform continuously scans more than 75 million sources, including the dark web and non-compliant platforms, identifies threats in real time and automates takedowns, filings and compliance workflows. Critically, Midnight Labs does not rely on external AI models, ensuring full privacy, security and control of sensitive material.

Market Expansion in Japan and APAC.

Manga remains the most pirated content globally, and sophisticated digital piracy syndicates operate at unprecedented scale in Japan, making the country uniquely vulnerable to AI-generated copyright infringement. The investment from the Sony Innovation Fund accelerates Midnight Labs’ expansion in Japan and across APAC, giving the company a stronghold to dismantle these networks by removing content and neutralizing threats before damage spreads.

“Midnight Labs is tackling an important and increasingly complex problem for the creative industries. We are pleased to support the team and look forward to collaborating as they build solutions for rights holders worldwide,” said Antonio Avitabile, Managing Director, Sony Ventures EMEA.

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TwelveLabs Achieves AWS AI Competency Recognition Status

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TwelveLabs Achieves AWS AI Competency Recognition Status

TwelveLabs: Video Intelligence Platform & API

Recognition validates TwelveLabs’ technical expertise and customer success on AWS as the companies expand video intelligence collaboration

TwelveLabs, the video understanding company, today announced that it earned the Amazon Web Services (AWS) AI Competency, a specialization that recognizes TwelveLabs as an AWS Partner with clear technical proficiency and success delivering AI solutions on AWS.

“Achieving the AWS AI Competency is another point of validation of TwelveLabs’ technology, which allows enterprises turn video into searchable, usable intelligence,” said Danny Nicolopoulos, Head of Strategic Partnerships at TwelveLabs. “Together with AWS, we’re making it easier for customers to build with sophisticated video understanding models, modernize large-scale archives, and unlock new value from their video data.”

TwelveLabs received its designation based on the capabilities and enterprise deployment of its state-of-the-art video understanding models. Marengo enables multimodal video search and semantic understanding across speech, motion, objects, scenes, and contextual relationships. Pegasus transforms video content into structured, searchable intelligence that supports summarization, reasoning, and downstream AI workflows.

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Expanding Collaboration Across AWS

This AI Competency designation builds upon the strength of TwelveLabs’ strategic relationship with AWS, which spans product integration, joint go-to-market programs, and enterprise customer deployments. TwelveLabs CEO Jae Lee is also a member of the AWS Customer Advisory Board (CAB), providing valuable feedback to AWS leadership and strengthening collaboration between the companies. The company also maintains close product collaboration with the Amazon S3 and S3 Vectors service teams, and the two continue to collaborate in an effort to enable organizations to operationalize video intelligence workflows at enterprise scale on AWS.

Notably, TwelveLabs and AWS recently launched a program designed to allow media companies migrate petabyte-scale video archives to AWS and unlock their commercial value using TwelveLabs. The program, developed in collaboration with AWS Media & Entertainment, as well as migration partners Cloudfirst.io and Iron Mountain, delivers an end-to-end pipeline from secure archive migration into Amazon S3 through AI-powered indexing for search, licensing, and monetization.

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This initiative has already yielded strong results for participants. For example, one major broadcast news company using TwelveLabs increased metadata coverage by 10x, opening licensing pathways that were previously inaccessible due to the sheer volume and inconsistency of legacy archive metadata.

As organizations look for opportunities to leverage TwelveLabs and AWS, the companies are committed to making it easier for enterprises and developers to build with TwelveLabs models directly within the AWS network. TwelveLabs’ Marengo 3.0 and Pegasus 1.2 are currently available on Amazon Bedrock, with Pegasus 1.5 coming soon.

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DataGroomr Announces Agentic Enrichment

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DataGroomr Announces Agentic Enrichment

Data Verification and Validation for Email, Phone and Address | DataGroomr  Verify for Salesforce | Salesforce AppExchange

DataGroomr customers can now orchestrate GenAI and third-party enrichment providers through agentic workflows while maintaining clean, trusted Salesforce data.

DataGroomr announced new AI-powered enrichment capabilities for its Salesforce data quality platform on Salesforce AgentExchange, Salesforce’s marketplace for the agentic era that brings together the rich ecosystems of AppExchange, Slack, and Agentforce into one experience. The new capability helps organizations orchestrate GenAI and third-party enrichment providers through AI-powered workflows with natural language prompts.

As organizations increasingly adopt AI and revenue operations automation across sales and marketing workflows, CRM data quality has become more critical. Organizations are increasingly combining GenAI and multiple enrichment providers to improve CRM coverage, automate workflows, and accelerate GTM execution. 
 
However, enrichment often introduces duplicate records, inaccurate values, inconsistent formatting, and fragmented data that reduce trust in reporting, forecasting, routing, and AI-driven decision-making. DataGroomr helps organizations operationalize enrichment while ensuring CRM data remains trusted and actionable.

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DataGroomr’s new capabilities include:

  • Agentic enrichment workflows
  • Native Apollo, Dun & Bradstreet, ZoomInfo, and other MCP-based data provider integrations
  • Natural language enrichment workflows
  • Quick Start templates
  • Dataset-level enrichment orchestration
  • Real-time enrichment triggers

Salesforce Admins and Operations teams need trustworthy data to support reporting, forecasting, automation, and AI initiatives. Sales and Marketing leaders require complete and accurate account, lead, and contact data to improve targeting and pipeline generation. DataGroomr helps organizations deduplicate, cleanse, enrich, verify, standardize, and coordinate Salesforce data workflows without the cumbersome setup and configuration required by legacy tools.

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“For years, DataGroomr has helped organizations maintain clean, trusted Salesforce data,” said Steve Pogrebivsky, DataGroomr’s CEO. “We’re extending that foundation into agentic enrichment workflows. Organizations can now orchestrate GenAI and third-party enrichment providers within Salesforce while ensuring CRM data remains deduplicated, standardized, and trusted for GTM execution and AI initiatives.”

“With the new AgentExchange, partners like DataGroomr get better access to Salesforce’s entire install base and tools that help them build, manage, and scale their distribution more efficiently than ever before,” said Tyler Carlson, SVP and Head of Product, AgentExchange and Ecosystem at Salesforce. “DataGroomr’s AgentExchange solution is helping customers accelerate business transformation by maximizing Salesforce data quality and trusted CRM operations.”

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TiVo Video Trends Report Finds Consumer Video Engagement Reached Peak Levels in 2025 Despite Economic Pressure

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TiVo Video Trends Report Finds Consumer Video Engagement Reached Peak Levels in 2025 Despite Economic Pressure

Xperi Inc Logo

Households returned to 10+ video services while daily viewing surpassed five hours, marking the highest engagement levels since 2021

TiVo, a wholly owned subsidiary of Xperi Inc., released its Q4 2025 Video Trends Report, which reinforces that video serves as a historically resilient, high-priority category, even as the entertainment landscape grows increasingly fragmented and competitive.

The report finds that even amid economic pressures that could impact discretionary entertainment spending, consumers continue to prioritize home entertainment, watching more video daily than at any time since 2021. In Q4 2025, engagement continued to climb, with households returning to more than 10 video services on average following a brief decline last year, daily viewing surpassing five hours and monthly entertainment spending rising to $161, reflecting year-over-year growth after a post-pandemic dip. The findings reinforce that video serves as a historically resilient, high-priority category, even as the entertainment landscape grows increasingly fragmented and competitive.

As entertainment ecosystems continue to expand, viewing preferences themselves remain relatively stable. About half of respondents prefer streaming services to release an entire season at once, compared to roughly 20% who favor a weekly episode rollout, emphasizing a continued demand for convenience and flexible viewing experiences.

“Consumers are watching more video than ever before, but they’re enjoying that content across an increasingly fragmented mix of platforms and services,” said Geir Skaaden, chief products and services officer at Xperi. “As the entertainment ecosystem continues to expand, helping viewers easily discover and access the content they want has become more important than ever. For advertisers and platforms alike, delivering simple, seamless viewing experiences will be critical to reaching audiences and keeping them engaged.”

As viewing time rises, discovery friction grows

While viewing continues to expand across platforms, content discovery remains a growing challenge. As households manage more services, viewers are navigating a complex content ecosystem, with 40% of consumers checking two to three different apps before deciding what to watch. Additionally, discovery is shifting beyond the platforms themselves with word of mouth (49%) and social media (40%) most often influencing viewers. This reliance on external inputs, combined with increased fragmentation, is making content discovery less efficient and more frustrating for viewers.

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Local content stays on top

Looking at consumed content, local programming accounts for nearly 30% of total viewing time, an increase of approximately five percentage points year-over-year. Sports also remain a key driver of engagement, with nearly 60% of sports viewers relying on pay TV as their primary source. Live and local content continue to anchor viewing behavior in a notably fragmented environment.

“The number of viewing options available to consumers continues to grow, but what is most notable is how audiences are responding to that expansion,” said TVREV’s co-founder and lead analyst, Alan Wolk. “Consumers are becoming more selective about where they spend their time and money, and entertainment services remain a priority. Live sports and local programming serve as important anchors, while the broader market is shifting toward simpler, more value-conscious viewing choices. The industry is entering a phase where effective curation and discovery matter just as much as scale.”

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While viewing expands, simplicity becomes essential

The report reflects a video ecosystem defined by expanding choice, stronger engagement and increased complexity. Consumers are watching more content across more services, but they are also placing greater value on simplicity, convenience and efficient discovery. For content providers, distributors and advertisers, the findings underscore a growing opportunity to improve how viewers navigate and connect with content in an increasingly crowded marketplace.

Additional TiVo Video Trends Report highlights:

  • Ad-supported growth: More than half of consumers (54%) now use ad-supported subscription tiers, while AVOD/FAST adoption rose to 70% in Q4 2025, up five percentage points year-over-year. AVOD and FAST services now account for 13% of total viewing time.
  • FAST audiences are watching more: The average FAST user now watches 7.5 channels, up more than two channels year-over-year. Pluto TV, Tubi, Roku Channel and Amazon Prime Video remain the leading FAST destinations.
  • Discovery extends beyond apps: Smart TV home screens are becoming increasingly important gateways for content discovery and advertising, with owners spending 57% of their non-viewing time on the home screen.
  • Consumers are prioritizing value: More than 35% of consumers routinely reassess subscriptions and viewing choices to balance cost, access and content availability.
  • Fragmentation fuels discovery challenges: As the number of services grows, 40% of consumers report checking multiple apps before deciding what to watch.

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EDO Launches Ad EnGage Optimize — Autonomous, AI-Powered Solution Bringing Outcomes-Driven Campaign Optimization to Convergent TV

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EDO Launches Ad EnGage Optimize — Autonomous, AI-Powered Solution Bringing Outcomes-Driven Campaign Optimization to Convergent TV

New solution goes beyond campaign measurement to recommend performance optimizations at scale— new research shows up to 35%+ of CTV ad impressions can be reinvested in higher-performing inventory through smarter frequency capping alone

One NZ Sets New Telco Industry Benchmark with UiPath, Accelerating Enterprise Mobile Provisioning from Days to Minutes

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One NZ Sets New Telco Industry Benchmark with UiPath, Accelerating Enterprise Mobile Provisioning from Days to Minutes

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AI-powered orchestration enables one of ANZ’s leading telcos to dramatically reduce complexity and accelerate service delivery for enterprise customers

UiPath, a global leader in business orchestration and automation, announced that One NZ has set a new benchmark for enterprise service delivery across ANZ using UiPath Maestro™— a cloud-native orchestration platform unifying automation, AI agents, and human interaction into streamlined, end-to-end business processes—to cut mobile provisioning times from ten days to under ten minutes.

“As AI adoption grows, the leading companies won’t be those with the newest tech stacks—they’ll be the organizations that move fastest with the technology they already have,” said Ashley Boag, Chief Operating Officer, International Region, UiPath.

Implemented in just five weeks, the deployment proves that AI orchestration can transform legacy-heavy operations at scale without a costly infrastructure overhaul and signals a new standard for how telcos can deliver for enterprise customers.

One NZ set out to transform one of their most complex back-office workflows: enterprise mobile provisioning, built across multiple disconnected systems. Enterprise mobile provisioning spanned Salesforce, Oracle, and internal platforms, with fragmented handoffs and dependence on offshore intervention stretching order cycles to four or five days. Manual processes introduced delays, limiting visibility across the customer order journey, and creating compounding operational complexity that demanded a fundamentally different approach.

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Rather than replacing an existing infrastructure for this workflow, One NZ selected UiPath Maestro to create a modern orchestration layer connecting those disconnected systems. AI agents now coordinate tasks across systems while software robots execute processes within applications, enabling near real-time provisioning for enterprise customers and significantly reducing operational complexity. The solution also delivers real-time visibility and control across legacy environments, enabling faster issue resolution, sharper frontline training, and a process that scales with significantly less operational effort.

“One NZ is pursuing an ambitious goal to become the most AI-enabled telco on the planet by using AI and automation to improve customer experiences, increase operational agility, and empower employees,” said Summer Collins, Chief AI and Business Services Director, One NZ.

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“AI creates a connected intelligence layer across our business, enabling us to automate across our technology landscape and continuously improve how we serve our customers while maintaining the security, resilience, and scale our organization depends on. Our approach is AI-first, but human where it matters most. By embedding AI into the way we work, we can transform our organisation, increase efficiency, and unlock new opportunities, while giving our people more time to focus on the human moments that create the greatest value for our customers and communities,” Collins added.

“One NZ clearly demonstrates how complex enterprises are built on a combination of modern and legacy technology. UiPath Maestro is the orchestration layer that brings it all together, accelerating transformation without the complexity and pain of ripping out what is working for them or forcibly modernizing what is already there. One NZ’s focus on transformation reflects a broader shift across the telecommunications sector and other sectors. As AI adoption grows, the leading companies won’t be those with the newest tech stacks—they’ll be the organizations that move fastest with the technology they already have. One NZ is demonstrating what that looks like in practice, orchestrating end-to-end processes to deliver AI-driven outcomes at enterprise scale while keeping people at the center,” said Ashley Boag, Chief Operating Officer, International Region, UiPath.

Building on this deployment, One NZ is extending UiPath Maestro into additional business-critical areas — including finance, risk, fraud, and complex IT programs, as well as broader customer and operational workflows.

The momentum reflects a wider shift taking hold across the telecommunications sector: providers are moving beyond automating individual tasks to orchestrating entire business processes end-to-end, and UiPath Maestro is emerging as the platform layer that makes that transformation both practical and repeatable.

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Morningstar Credit Analytics Launches AI Access to CRE Surveillance and CMBS Analytics

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Morningstar Credit Analytics Launches AI Access to CRE Surveillance and CMBS Analytics

Morningstar logo

New integration enables licensed users to query live deal-level credit intelligence within Anthropic’s Claude using natural language

Morningstar Credit Analytics (MCA), a wholly-owned subsidiary of Morningstar, Inc. announced a new AI integration designed to enable licensed users to access Morningstar Credit Analytics’ commercial real estate (CRE) and commercial mortgage-backed securities (CMBS) data directly within Anthropic’s Claude. By integrating via Model Context Protocol (MCP), analysts can query live loan- and deal-level data using natural language questions within their AI workflows.

As AI interfaces become a primary entry point for financial research, governed access to structured institutional data is becoming critical for professional market participants. Morningstar Credit Analytics’ integration aims to bring institutional credit intelligence into AI-enabled research workflows while preserving the data governance and entitlement controls already in place.

“Credit analysis has always depended on trusted data and analytical rigor. What’s changing is the speed and accessibility of that analysis,” said Brian Grow, president of Morningstar Credit Analytics. “By connecting our CRE and CMBS intelligence to AI tools like Claude, we can bring institutional credit intelligence directly into workflows. This is not a chatbot layered onto financial services. It’s about delivering credit insights while maintaining transparency, governance, and control.”

CRE Analytics, Now in Your AI Workflow

CRE Analytics is designed to give credit professionals direct access to CMBS loan performance, pool composition, and monthly surveillance data across conduit, SASB, CRE CLO, and agency structures. MCP integration brings that data directly into Claude, allowing licensed users to ask natural language questions without leaving their AI workflows.

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The MCP-based architecture delivers Morningstar Credit Analytics’ proprietary data within existing entitlement and access controls. Users can interact directly with the data they are licensed to access. This is designed to enable organizations to extend governed access to institutional credit intelligence into AI workflows without compromising oversight or control.

CRE Surveillance and Analytics Use Cases

Licensed users can support credit risk analysis workflows directly within Claude to:

  • Query delinquency status, watchlist activity, and special servicing flags
  • Retrieve CMBS deal and tranche-level analytics without leaving your AI workflow
  • Conduct loan-level surveillance across conduit, SASB, CRE CLO, and agency deals

Connecting compatible AI applications to the Morningstar Credit Analytics MCP connector requires no custom engineering effort. Licensed users can connect their Claude instance to the Morningstar Credit Analytics MCP server and can begin querying immediately. Because MCP is an open standard, clients can benefit from easier future interoperability as AI platforms and workflows continue to evolve.

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Part of Morningstar’s Broader AI-Forward Strategy

This launch reflects Morningstar’s broader strategy to be the intelligence layer for investing—the grounding source investors need for analyst-backed comprehensive ratings and insights. Morningstar seeks to enable governed access to trusted financial data across research, analytics, and credit workflows. Morningstar and PitchBook have previously introduced MCP integrations across leading AI providers including OpenAI, Anthropic, Perplexity, and Microsoft.

See Morningstar Credit Analytics AI Demo at CREFC 2026

Morningstar Credit Analytics will demonstrate the Claude integration at the Commercial Real Estate Finance Council (CREFC) Annual Conference in New York, June 8–10, 2026. Attendees can schedule a live demonstration with a Morningstar Credit Analytics representative.

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Pipedrive to be included in OpenAI’s Codex Sales Plugin launch, bringing CRM context into AI-powered sales workflows

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Pipedrive to be included in OpenAI’s Codex Sales Plugin launch, bringing CRM context into AI-powered sales workflows

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Pipedrive, the easy and intelligent CRM for small and medium-sized businesses, announced it would be included in the launch of OpenAI’s dedicated sales plugin for Codex, enabling Pipedrive customers to connect their CRM data to AI-powered sales workflows.

Pipedrive is included in the launch of OpenAI’s dedicated sales plugin for Codex, enabling Pipedrive customers to connect their CRM data to AI-powered sales workflows.

OpenAI is introducing new role-specific plugins in Codex that help teams bring more of their work into Codex, including Sales. These plugins connect Codex with apps teams already use, so people can bring trusted business context into workflows like analysis, creative review, prototyping, meeting prep, reporting and more.

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As AI becomes increasingly embedded in everyday business workflows, sales teams are looking for ways to spend less time searching for information and more time building customer relationships. By connecting Pipedrive data with OpenAI Codex, users can bring relevant CRM context into their workflow, helping them move faster and make more informed decisions.

“Sales teams generate and manage enormous amounts of information every day, but data only creates value when it can be easily accessed and acted upon,” said Kristjan Elias, Sr Director of Engineering at Pipedrive. “The next evolution of sales software isn’t simply about adding more AI. Rather, it’s about making knowledge more accessible in the moments when people need it most. By bringing Pipedrive into OpenAI’s sales-focused Codex experience, we’re helping customers connect CRM data, customer context and AI-powered workflows in a way that supports better preparation, smarter prioritization and more effective selling.”

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The launch reflects a broader shift toward AI-assisted work, where professionals increasingly rely on intelligent tools to help analyze information, identify opportunities and streamline routine tasks. For sales organizations, this means less time spent gathering context and more time focused on customer conversations and revenue-generating activities. Read more about the new plugin on OpenAI’s website or GitHub.

Pipedrive continues to invest in practical AI capabilities that help sales teams work more efficiently, from prospecting and lead management to reporting and sales insights to make AI useful, intuitive and accessible for growing businesses. The company is also expanding how its data and workflows can be accessed across emerging AI ecosystems, making it easier for customers to work with their sales information wherever they are.

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TQA Appoints Matt Morse as Chief Executive Officer and Announces Leadership Transition

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TQA Appoints Matt Morse as Chief Executive Officer and Announces Leadership Transition

TQA announces new agentic-focused identity, expanding technology  partnerships with Microsoft and ServiceNow to break the enterprise AI  gridlock

Industry veteran with 25 years of experience scaling technology services businesses takes the helm

TQA, the agentic AI and automation expert, announced the appointment of Matt Morse as Chief Executive Officer. Founder Tom Abbott will transition to the role of Board Member and Advisor, ensuring continuity as TQA enters its next phase of growth. The company has also secured a new equity financing round, which is expected to close in the coming weeks.

A New CEO for the Next Chapter

Matt Morse brings 25 years of experience building and scaling technology services businesses. Most recently, he served as Chief Operating Officer at 3Cloud, joining as employee #9 and scaling the business to 1,200 employees before its acquisition by Cognizant. Before that, he had a national leadership role in the Microsoft Business Unit at Perficient.

His appointment comes at an inflection point. TQA has grown rapidly since its founding in 2020 – with year-on-year bookings up 51% and current revenue up 12% quarter-on-quarter – and Matt’s track record of operational scale makes him the right leader to capture the significant market opportunity ahead.

“Enterprise demand for production-ready agentic AI continues to grow. TQA has built something unique: a team with the depth of expertise, the partner relationships, and the delivery track record to help enterprises build an agent-enabled workforce. I’m excited to accelerate that mission.”
– Matt Morse, CEO, TQA

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Tom Abbott: Founder to Board Member

Tom Abbott founded TQA in 2020 with a mission to prove that technology services can deliver measurable outcomes. As his role transitions to Board Member and Advisor, his ongoing involvement reassures stakeholders of strategic continuity and stability.

“Matt’s appointment is the next step in that journey – bringing the operational scale and leadership to match the market opportunity. I’ll continue as a Board Member and Advisor to ensure continuity and help preserve what makes TQA special.”
– Tom Abbott, Board Member and Advisor, TQA

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Looking Ahead

Under Matt’s leadership, TQA will accelerate its evolution into a multi-platform agentic AI services firm, deepening its practices across UiPath, ServiceNow, and Microsoft. Key priorities include:

  • Accelerating joint go-to-market initiatives and new technology practices with UiPath, ServiceNow, and Microsoft
  • Helping enterprises deliver real outcomes from agents by building true agent-enabled workforces at scale
  • Investing in delivery capability and tooling to expand and enhance client outcomes at scale
  • Continuing to attract and retain top talent across the firm’s five international offices

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BrandClickX.com Launches as a Go-To Source for Marketing News, AI Strategy, and Brand Intelligence for Business Leaders

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BrandClickX.com Launches as a Go-To Source for Marketing News, AI Strategy, and Brand Intelligence for Business Leaders

|Homepage

Digital media platform delivering marketing, advertising, ad tech, and AI insights for smarter business decisions.

BrandClickX, a new digital media publication focused on marketing, artificial intelligence, and brand strategy, has officially launched at BrandClickX.com. The platform delivers news, analysis, and practical insights for business owners, marketing professionals, and company leaders who need to stay ahead of rapid changes in the marketing and technology landscape.

The launch comes at a pivotal moment for the marketing industry. Global advertising spending crossed $1.14 trillion for the first time in 2025, and artificial intelligence is now reshaping how businesses reach customers, create content, and measure results. For many business owners and marketing teams, keeping up with these changes while running day-to-day operations has become increasingly difficult.

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BrandClickX was built to solve that problem — delivering clear, credible reporting on the news and trends that actually affect how businesses market themselves and grow.

“Whether you run a local business, a growing startup, or a large company, the marketing landscape is changing faster than ever. AI tools are transforming how content gets created, how ads get placed, and how customers find businesses online. BrandClickX covers all of that in a way that’s useful for people who are actually running businesses — not just reading about them.” — Sam, Editor, BrandClickX

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What Readers Find on BrandClickX

BrandClickX covers the topics that matter most to businesses and marketing professionals in 2026:

– AI Tools and Technology: Plain-language coverage of the AI tools businesses are using for content creation, customer service, advertising, and more — including honest assessments of what works and what doesn’t.
– Brand Strategy and Marketing: Reporting on how companies are building their brands, reaching new customers, and adapting their marketing strategies in a competitive digital environment.

– Advertising and Media: News on digital advertising, social media marketing, and the platforms businesses use to reach their target audiences.

– SEO and Online Visibility: Coverage of how search engines are changing — including Google’s AI-powered search features — and what businesses can do to maintain and improve their online visibility.

– Business and Tech News: Reporting on the companies and technologies shaping the business world, from major AI company milestones to the tools and platforms that small and mid-size businesses depend on.

– Creator Economy and Social Media: Coverage of influencer marketing, social media trends, and the creator economy — increasingly important channels for businesses of all sizes.

Covering the Stories That Matter to Business Owners

BrandClickX has covered some of the most significant business and technology stories of 2026 since its launch, including:

– The rise of AI writing and coding tools, and how businesses are using them to work faster and produce more content without adding headcount.

– How Google’s AI-powered search is changing where businesses show up online — and what marketing teams are doing to adapt their SEO strategies.

– The launch boom in AI startups, including a comprehensive look at the 99 most important AI companies businesses should know about in 2026.

– Practical guides to the best AI marketing tools, research tools, and content creation platforms available for teams of any size and budget.

– Analysis of major business news — including IPOs, company launches, and industry shifts — explained in terms of what they mean for everyday business owners and marketing professionals.

A Media Publication Built for the Modern Business Landscape

BrandClickX is an independent editorial media. It is not a vendor, an agency, or a platform selling services. Its purpose is straightforward: provide reliable, useful information that helps business owners and marketing professionals make better decisions.
The publication is free to access and does not require a subscription.

“There is a lot of noise in the marketing and technology space right now. New AI tools launch every week. The platforms businesses advertise on change their rules constantly. It can be overwhelming to figure out what actually matters and what you can ignore. BrandClickX tries to cut through that noise and give people the information they actually need.” — Sam, Editor, BrandClickX

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Fluid viewers, fixed budgets: what real-world TV data reveals about modern TV viewing

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Fluid viewers, fixed budgets: what real-world TV data reveals about modern TV viewing

Samsung Ads - IAB Canada

Samsung Ads’ Behind the Screens 2026 report, built on first-party TV data, reveals shifting behaviours across the total TV ecosystem – linear, streaming, gaming and the home screen

Fragmentation in Connected TV viewing is not a passing trend – it is the new normal. And audiences are no longer experiencing CTV as a collection of separate services, but as a single, continuous viewing experience across numerous apps – all radiating out from the CTV home screen.

Those are among the conclusions of the latest edition of the Samsung Ads annual Behind the Screens report. Drawing on first‑party insights from over 70 million Samsung smart TVs in Europe, and complemented by custom consumer research, the report finds that viewing habits have taken on a fluid new form that more closely resembles our smartphone use than the channel-hopping of television’s linear past.

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Behind the Screens 2026 sets out the new realities for brands on keeping pace with a highly fragmented audience – who may be sitting on their sofas, but are still on the move.

Among its key insights:

  • Five apps on average were used per household across 20251,  while total app launches rose by 8% year over year to 18.4bn in 2025.5 Fragmentation is no longer just about more services—it reflects audiences actively spreading their attention across a wider range of platforms.
  • Younger viewers are the most fragmented, using 21% more apps on average1 and moving fluidly between subscription and free platforms. They have even less platform loyalty, following content rather than services.
  • No single environment captures the full CTV audience: 24% of Samsung TVs make up 81% of all linear viewing, while 27% of Samsung TVs stream and never watch linear.
  • The home screen has emerged as a primary moment of influence. It is the central point viewers return to throughout their journey—accessed more than five times per day—as they switch on their TV and continue to app-hop. Nearly nine in 10 respondents use the home screen to decide what to watch next.

Marketing Technology News: The ‘Demand Gen’ Delusion (And What To Do About It)

The report captures a market where viewing habits are rapidly evolving to accommodate an ever-expanding array of entertainment. In Q1 2026 alone, over 650 football matches from Europe’s top leagues competed for attention alongside more than 100,000 unique titles on the top SVOD platforms and 90 new gaming releases. More shows, more sport, more streaming, more gaming- all competing for the same screen.

With a vast and growing range of apps and viewing options, audiences are no longer loyal to platforms – they follow content seamlessly across a highly competitive CTV ecosystem that spans streaming, gaming, and linear viewing.

Against this saturated backdrop, the home screen has become a vital fixed point. It is the primary discovery moment for content, and a valuable opportunity to capture attention before it inevitably fragments.

“Fragmentation is no longer a trend – it is the reality of today’s TV landscape. Younger audiences, in particular, are driving this shift, using over 20% more apps on average and moving fluidly between subscription and free platforms,” said Matt Bryan, Director of Analytics & Insights at Samsung Ads. “As viewers follow content rather than platforms, linear, streaming, and gaming have become interconnected parts of a much more complex ecosystem. For advertisers, this creates an opportunity to plan with a more holistic view of the TV landscape. Solutions like TotalView™ are making it possible to understand true reach and invest with greater precision.”

Among the other insights of Samsung’s Behind the Screens 2026 report are:

Viewing choices are led by apps, not channels. More than 8 in 10 consumers say content drives their app choices: prioritising freshness, exclusivity and relevance.

Streaming app use varies significantly. Most viewers have multiple subscriptions at once, each serving a distinct content need. Within those subscriptions, viewers move freely, switching between services in search of what fits the moment. The average household uses five apps on average. Of those surveyed:

  • 60% keep multiple subscriptions all year round.
  • 18% rotate between services depending on what’s available.
  • 14% mostly use free or ad-supported platforms.
  • 8% only subscribe occasionally for specific shows or events.

TV is still a social event. The living room remains a shared space, with co-viewing the norm across linear and streaming. Linear and streaming viewership peaks at 7pm, while UGC viewership drops away as viewers favour a more shared, big screen experience for prime time viewing.

Gamers are a highly receptive but consistently under-served audience for advertising – they are 88% more likely than average to follow home screen recommendations and 135% more likely to look up products in TV ads. When they watch TV, they rarely watch alone: 72% of gamers watch in groups of two or more, and they are nearly three times more likely than average to watch TV in groups of three or more.

Samsung Ads, a division of Samsung’s media & services business, harnesses the power of data, technology and scale to create a seamless advertising experience that amplifies brand stories across an ecosystem of devices. Leveraging its unique position with over 70 Million devices in Europe, Samsung Ads delivers high-impact, targeted advertising solutions across multiple screens, enabling brands to reach audiences in the moments that matter. Samsung Ads – where technology meets creativity to deliver advertising experiences that captivate and inspire. Launched in 2015, Samsung Ads has offices in the US, UK, Germany, France, Italy, Spain, Australia, New Zealand, India, Brazil & Mexico and South Korea.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

OpenAI and Meaghan B Murphy Discuss How ChatGPT Can Make Everyday Life a Little Easier with YourUpdateTV

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OpenAI and Meaghan B Murphy Discuss How ChatGPT Can Make Everyday Life a Little Easier with YourUpdateTV

Nationwide media tour conducted by OpenAI in conjunction with D S Simon Media on the topic of how ChatGPT is becoming the Go-To tool for getting through the day

It’s no secret that more people are finding simple, practical ways to use AI in their daily routines.

Artificial Intelligence is quickly becoming part of how individuals plan, decide, and stay on top of daily life. Many don’t realize all the ways it can be used.

With more than 900 million weekly users, ChatGPT has rapidly become the go-to personal assistant for people who need to move faster, stay organized, and reduce daily friction. Yet millions of Americans haven’t tried it or don’t realize how immediately useful it can be.

This is no longer about “trying AI.” It’s about how to use it to its fullest so you can get time back in your day.

From answering quick questions and organizing to-do lists to planning travel, workouts, or daily logistics, ChatGPT helps people move through their day with less effort and more clarity.

This segment shows exactly how to start using it immediately, with simple, repeatable habits anyone can adopt, whether you’ve never tried it or only used it once.

Meaghan B Murphy, ChatGPT power user and mom, answered some of the top questions related to how to start using ChatGPT today.

For people who haven’t tried ChatGPT yet, or maybe feel a little hesitant, what do you think they should know?

If you’re feeling a little hesitant about using AI, I’m here to tell you that it’s something I use every single day. It’s become like a personal assistant for me.

Technology has always been about making our lives easier and giving us an edge, and that’s exactly what AI can do. The best part is that you don’t need to be especially technical to learn how to use it.

What things should someone start using ChatGPT for today to immediately make their life easier and more in control of their day?

You just start by asking a question.
Here’s where I would begin: ask yourself, “What could I use a little help with?” What’s a mundane, everyday task that creates mental load or takes up more time than you’d like? That’s the perfect place to start.

Think about how you might outsource that task to ChatGPT. For me, it’s meal planning. I have a family of five and three kids to feed, but I don’t particularly enjoy figuring out what’s for dinner every night. That’s where ChatGPT comes in.

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I’ll open the refrigerator and say, “I have leftover rotisserie chicken, kale, and red onion. What can I make for dinner?” The other day, I was cooking basmati rice and it turned out too watery. I snapped a photo, uploaded it to ChatGPT, and it told me exactly what to do—put the lid on, lower the heat, and dinner was saved.

So, think about the everyday tasks where a little assistance could go a long way. Maybe it’s preparing for a job interview. Maybe it’s organizing your finances. Maybe it’s figuring out seating arrangements for a baby shower. My cousin recently used ChatGPT to create a seating chart for a baby shower where several guests didn’t get along—and it worked beautifully.

It’s these kinds of everyday challenges where ChatGPT can be incredibly helpful. As a busy working mom of three, I use it constantly to help manage my daily to-do list.

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It might be helping me draft an email to a school administrator when I want to strike the right balance between being firm, kind, and professional. It might be reviewing a contract and highlighting areas that deserve a closer look. Or, once again, helping me in the kitchen with meal planning.

When you start thinking of it as a practical everyday tool rather than a piece of technology, that’s when you really begin to see its value.

How can people use ChatGPT to plan trips, events, and packed schedules?

Travel and ChatGPT go hand in hand.

In fact, I’m currently using ChatGPT to help plan the Murphy family vacation. I’ve entered the one week we have available to travel in July, along with our budget, and it’s helping me compare destinations like Maine, Colorado, and Dublin.

ChatGPT can help create itineraries, build packing lists, and make travel planning much easier. Once you’re on your trip, the image feature can be especially useful. You can snap a photo of a building and ask, “Where am I?” or “What is this landmark?” You can even use it to find the best local coffee shop or discover nearby attractions.

There are so many practical ways to use ChatGPT while traveling. It’s like having a travel agent and a tour guide in your pocket.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

MWM AI Partners with Google Cloud to Launch New Mobile Agents for App Creators and Entrepreneurs

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MWM AI Partners with Google Cloud to Launch New Mobile Agents for App Creators and Entrepreneurs

Google Cloud Logo

MWM, the mobile technology company with over one billion downloads, partners with Google Cloud to launch the “AI Mobile Squad” with Gemini Enterprise.

The Squad includes a team of Designer, Product Manager, and Developer agents that turns a prompt into a production-ready native iOS and Android app in under three minutes.

MWM, a leading mobile app publisher with more than 1 billion downloads, and Google Cloud announced the launch of the AI Mobile Squad, the next evolution of MWM AI, using Gemini Enterprise.

Replacing the MWM AI’s previous generalist AI experience, the AI Mobile Squad is a coordinated team of three specialized AI agents – a Designer, a Product Manager, and a Developer – all working in sequence as one team. Built on Google Cloud’s Gemini models, including Nano Banana, and working with the Gemini Enterprise Agent Platform, the AI Mobile Squad gives 500 million creators, solopreneurs, and SMBs worldwide an entire mobile product team on demand.

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Hire a Mobile Team, Not Just an Agent

When MWM AI launched in February, it proved that anyone could turn a prompt into a native iOS app in minutes. But shipping a real mobile app business has never been a one-person job. It takes a product manager to scope it, a designer to define the experience, and a developer to write code that meets Apple and Google standards.

Built on the Gemini Enterprise Agent Platform, three specialized AI agents are now available:

  • The Product Manager agent conducts the discovery interview, defines the product vision, and produces a precise product brief that frames the entire build.
  • The Designer agent takes the Product Manager’s brief and crafts a complete mobile design system, produces every screen as a production-ready mockup, and creates App Store-ready icons, validating the UI before any code is written, with an average time-to-first-design of under three minutes.
  • The Developer agent ships production-grade SwiftUI apps for Apple and Kotlin apps for Android platforms. MWM AI is the one of the only AI app builders that ships in the two native languages Apple and Google use to write their own operating systems.

The three agents share context and work in sequence, replacing the trial-and-error cycle of single-agent builders with the discipline of a real product team.

Each agent is safely grounded in 14 years of MWM’s proprietary mobile data, 70+ shipped apps, 1 billion downloads, distilling design systems, monetization architectures, and growth patterns that no general-purpose AI can replicate. Where vibe-coding tools learn from the public web, the AI Mobile Squad inherits the patterns of a portfolio already winning at scale.

Today’s reveal is the foundation of a larger ambition for MWM. Over the coming months, additional agents covering App Store optimization, paid acquisition, growth, QA, and customer support will progressively extend the Squad, bringing every stage of building a mobile app business into one workspace, backed by MWM’s 14 years of mobile expertise.

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Using Google Cloud full stack approach to AI

The AI Mobile Squad runs on Google Cloud’s full AI stack in an open manner. The Gemini Enterprise Agent Platform acts as the critical orchestration engine, managing the seamless handoffs and shared context between the specialized agents to ensure a cohesive and efficient development process. Gemini, including its latest Gemini 3.5 version, fuels the reasoning and cross-agent context that ties the AI Mobile Squad together and Nano Banana drives high-fidelity image generation across the Designer agent’s mockups and icon studio.

Cloud Run, Cloud Spanner, and Google Cloud Storage enables MWM AI’s real-time WebSocket orchestrator, mobile build farm, and user workspaces across three regions: Europe, the United States, and Asia-Pacific.

This integrated approach is supported by Google Cloud’s AI-optimized architecture, which provides the high-performance, scalable infrastructure necessary to coordinate the Squad’s complex reasoning and real-time development workflows.

As a result, the AI Mobile Squad is available as of today on mwm.ai on subscription, with a free trial is available to all new users, and every app that it creates is App Store and Play Store ready, with distribution workflows, subscriptions, in-app purchases, paywalls, ad monetization, real-time analytics, and A/B testing already wired in.

Jean-Baptiste Hironde, Founder & CEO of MWM, said: “The future of building isn’t a single AI doing everything, it’s a team of specialized agents collaborating like a real product team. Today we’re launching the first AI Mobile Squad: a Product Manager, a Designer, and a Developer working as one. Tomorrow, we’ll grow it into a complete mobile business. With Google Cloud, we have the models, solutions and infrastructure to be a pioneer, continue our innovation journey and scale to meet opportunities globally.”

Grégoire Peiron, Director Google Cloud France, Startups / Digital Natives, said: “MWM is a remarkable example of how French mobile expertise can be amplified by Google Cloud’s AI stack. By building their AI Mobile Squad combining our models, agentic AI technology and infrastructure in an open manner, MWM is taking mobile innovation a stride further, making the industry enter the agentic era.”

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Rockwell Automation Launches New Season of ROKStudios Video Series Highlighting OEM Leaders on Machine Lifecycle Innovation

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Rockwell Automation Launches New Season of ROKStudios Video Series Highlighting OEM Leaders on Machine Lifecycle Innovation

Rockwell Automation logo

Executives share perspectives from leading machine builders on designing, deploying and optimizing machines across the lifecycle

Rockwell Automation, the world’s largest company dedicated to industrial automation and digital transformation, announced it has released a new season of ROKStudios, its thought leadership video series featuring in‑depth interviews with executives from leading machine builders and industry associations.

The latest season shares perspectives from across the global packaging and manufacturing ecosystem, with each interview exploring how OEMs are evolving their strategies to deliver value across the full machine lifecycle – from initial design through commissioning and long‑term operation.

“These discussions share how machine builders are redefining success around lifecycle value,” said Fabrizio Scovenna, regional vice president, OEM, EMEA, Rockwell Automation. “Across these conversations, we see a consistent shift toward strategies that integrate design, secure data and services to improve performance, resilience and long‑term outcomes.”

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Each episode provides a distinct perspective on how OEMs are responding to changing customer expectations, increasing complexity and new performance requirements:

Olaf Clemens, CEO, SN MaschinenbauExplores the growing role of cybersecurity as a foundation for connected machinery, enabling secure data integration, resilient operations, and long-term lifecycle value.

Gian Paolo Crasta, director general, UCIMAShares an industry‑wide perspective on how packaging machinery OEMs are redesigning machines for flexibility, digital services, and measurable lifecycle performance while balancing sustainability and productivity goals.

Alessandro Rocca, vice president of global sales, Cama GroupExamines how robotics and standardized architectures are helping OEMs accelerate deployment, improve repeatability, and deliver scalable lifecycle performance in high‑mix production environments.

Luis Villegas, president, AMEC EnvasgrafProvides an industry association perspective on how OEMs are rethinking the machine lifecycle – from design through delivery and operation – in response to digitalization, sustainability pressures, and skills challenges.

Steve Rackham, group technical manager, Bradman Lake GroupDiscusses how modular design and integrated “process‑to‑pallet” strategies are enabling OEMs to manage SKU complexity, improve uptime, and build more flexible, future‑ready packaging lines.

Michael Lampe, innovation manager, Meurer Verpackungssysteme GmbHExplores how OEMs are adapting to sustainability requirements, including the shift to new materials, while maintaining efficiency, flexibility, and lifecycle performance.

Bino Bastian, head of sales, ECONO-PAKDiscusses how digital twins are evolving beyond virtual commissioning into lifecycle assets that support engineering efficiency, collaboration and post‑startup optimization, while addressing cybersecurity, compliance, and traceability requirements.

Piers Lamb, sales director UK and Ireland, Universal PackHighlights how data‑ready machine design is enabling traceability, compliance, and service‑led business models, while improving commissioning speed and long‑term operational performance.

Piyush Bhandari, Area Sales Head, Clearpack GroupShares how OEMs are evolving from standalone machines to intelligent, connected systems to meet changing consumer demands while maintaining secure and resilient operations.

Davide Furini, Area Sales Manager, CT PackDiscusses how digital tools, connectivity, and data are enabling more resilient machine performance, helping OEMs meet evolving lifecycle requirements and operational demands.

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Across all interviews, a consistent theme emerges: OEMs are moving beyond project‑based delivery toward lifecycle‑driven strategies that integrate design, data and ongoing services.

Machine builders are increasingly recognizing that decisions made during early design stages can significantly impact commissioning efficiency, uptime and long‑term serviceability.

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Project 100 Opens Office in Oakland California and Introduces New Marketing Services to Small Businesses

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Project 100 Opens Office in Oakland California and Introduces New Marketing Services to Small Businesses

Project 100 LLC - Main Logo

Project 100 Opens Office in Oakland California and Introduces New Marketing Services to Small Businesses

Project 100 LLC, a digital marketing and advertising agency built for local business owners, today announced the opening of its new office in Oakland, California. The expansion reflects the agency’s continued growth and commitment to helping more small businesses across the East Bay and greater San Francisco Bay Area improve their online presence, attract new customers, and compete in today’s digital marketplace.

Recyclable websites’ offer businesses a leaner, more agile way to test the market without massive overhead.”

— My Nguyen, Director Of Marketing

The new Oakland location will serve as a satellite hub for Project 100’s creative, marketing, and client support operations, building on the company’s foundation in Silicon Valley. Located in downtown Oakland at a shared workspace called Informal Spaces, the office gives the agency a stronger presence in the East Bay and allows Project 100 to better serve business owners in Oakland, Alameda, Berkeley, San Leandro, Hayward, Walnut Creek, and surrounding communities.

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As part of the expansion, Project 100 is also introducing new service options designed specifically for non-tech business owners who need simple, practical marketing solutions without complicated systems or unnecessary costs. The agency’s goal is to make websites, advertising, SEO, and AI tools easier to understand and easier to use for everyday businesses such as restaurants, contractors, medical offices, real estate professionals, service providers, retail shops, and local organizations.

One of the agency’s newest offerings is what Project 100 calls “recyclable websites.” This approach gives business owners a faster and more affordable way to launch short-term websites or landing pages for promotions, events, seasonal campaigns, new services, product testing, or special offers. Instead of investing heavily into a permanent website for every idea, businesses can quickly launch a professional page, test the market, and later reuse or repurpose the design for future campaigns.

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“Many business owners have great ideas, but they do not always want to spend months and thousands of dollars building something before they know it will work,” said My Nguyen, Director of Marketing at Project 100. “Recyclable websites give them a simple way to test an idea, promote an event, or launch a campaign without wasting time or money.”

Project 100 is also expanding its website support and security services to help businesses maintain stronger, more reliable online platforms. These services include long-term website development, website updates, maintenance, performance improvements, and added protection for business websites. The goal is to give business owners peace of mind knowing their website is not only professional, but also secure, stable, and built to grow with their company.

In addition, Project 100 is introducing practical AI-powered marketing support for local businesses. Rather than focusing on complicated technology, the agency uses AI to help business owners create better content, understand customer behavior, improve advertising performance, and make smarter marketing decisions. These tools are designed to save time, reduce guesswork, and help businesses get more value from their marketing budget.

Project 100’s services include website design, local SEO, Google Business Profile optimization, Google Ads, social media advertising, content creation, landing pages, branding, automation, and ongoing marketing support.

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Optilogic Launches Ada, the First Agentic AI System Purpose-Built for Supply Chain Design

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Optilogic Launches Ada, the First Agentic AI System Purpose-Built for Supply Chain Design

Optilogic logo

Ada brings an entirely new level of intelligence to supply chain design—autonomously handling the heavy lifting so teams can optimize the network they have and design the network they need, at the speed business demands

Optilogic, the leader in AI-first supply chain design and optimization, today announced the general availability of Ada, a breakthrough agentic AI system that fundamentally transforms how supply chains are modeled, analyzed, and continuously redesigned.

Announced live to more than 300 customers, partners, and industry leaders today at the company’s annual user conference in Detroit, Ada marks a major industry milestone: shifting supply chain teams from manually building models and reacting to change to generating intelligence, evaluating scenarios, and accelerating decisions at enterprise scale.

Ada is a next-generation agentic AI system accessible anywhere, that can cleanse and enrich data, build baseline models, analyze scenarios, and deploy insights across the enterprise. Users can “Ask Ada” any question in an embedded chat interface inside the Optilogic platform, so anyone in the organization—from executives to planners—have answers at their fingertips.

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“Historically, design was slow and inaccessible,” said Don Hicks, CEO of Optilogic. “That’s not anyone’s fault—technology just hadn’t risen to the challenge yet. Today, that changes. Ada turns design into a fast and continuous process accessible by anyone, so it stops being a periodic initiative and starts being your biggest competitive advantage.”

Ada’s launch follows an Early Adopter Program in which more than 40 Optilogic customers validated the capabilities ahead of general availability. “Optilogic helps us build supply chain resilience by providing artificial intelligence and optimization tools to enhance our future,” said Felipe Moraes, Head of Supply Chain and Integration at Amazon Brazil.

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Ada autonomously handles the most time-consuming parts of supply chain design. Throughout every stage, human judgment remains central. Ada handles the technical work; supply chain teams own the strategy, validate every output, and make the final call.

Andrea Paciaroni, Principal Director at Accenture, said, “Supply chain leaders are navigating an era of relentless unpredictability, where the window between disruption and required action continues to shrink. Accenture’s mission is to help clients build supply chains that are resilient by design, not just by response. Optilogic’s AI for supply chain design is exactly the kind of innovation the industry needs—AI that doesn’t just surface insights but also empowers teams to act with confidence.”

Ada was built to fundamentally transform the design practice: analysts can explore hundreds of strategic alternatives instead of rationing questions, disruption triggers a prepared playbook instead of a new project, executives have answers at their fingertips, and design teams become key advisors in both near- and long-term decisions rather than a months-long back-office effort.

Ada represents the first in a sustained series of AI investments Optilogic is making to ensure supply chain design teams can meet the pace of a business environment defined by constant change. With this announcement, Optilogic is building upon the industry’s only platform that combines agentic AI, mathematical optimization, and simulation in a single integrated system.

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

AdLift’s Tesseract Launches Claude AI Integration and AI Traffic Analytics

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AdLift's Tesseract Launches Claude AI Integration and AI Traffic Analytics

AdLift India | LinkedIn

The latest update enables brands to track referral traffic from AI platforms and gain deeper insight into how AI models interpret, position, and recommend their brand online.

If someone ever wondered whether ChatGPT, Perplexity, or Google’s AI Overviews are sending users to their brand’s website – or how those platforms describe a brand when someone asks about a category – Tesseract by AdLift now has answers.

The AI Search Visibility platform has launched two major product updates: Claude AI integration and AI Traffic Analytics, giving marketers and SEO teams a clearer picture of how AI platforms engage with their brand and where that’s translating into real traffic.

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Understanding What AI Says About A Brand

By bringing Anthropic’s Claude model into Tesseract’s intelligence layer, the platform can now analyze the context, sentiment, and intent behind AI-generated brand mentions. Teams can understand how their brand is positioned within conversational AI answers, spot recommendation patterns across platforms, and get more precise guidance for AI-first search environments. Claude integration is available for Enterprise and Pro Plan users.

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Seeing Where AI Traffic Is Coming From

AI Traffic Analytics addresses a gap growing quietly across most marketing teams: AI assistants are increasingly driving discovery, but traditional analytics tools weren’t built to track it. The feature gives brands visibility into which AI platforms are driving traffic and how referral behavior shifts over time. Available across all Tesseract plans.

Prashant Puri, Co-Founder & CEO of AdLift, said: “Traditional search analytics were built for a world where Google was the primary discovery engine. That world is changing fast. Tesseract is designed for what comes next – giving brands real intelligence into how AI platforms perceive, reference, and send traffic to their digital presence.”

Arron Goodin, Managing Director, AdLift, said: “Marketers can no longer rely on traditional search metrics alone. With Claude integration and AI Traffic Analytics, Tesseract helps brands move beyond rankings and understand how AI platforms interpret, position, and recommend them in real-world conversations.”

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Flowgear Launches Builder MCP to Bring Enterprise Integration Into Any AI Chat or IDE

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Flowgear Launches Builder MCP to Bring Enterprise Integration Into Any AI Chat or IDE

Flowgear Customer Reviews 2026 | Data Integration | SoftwareReviews

New MCP capability lets teams build and test enterprise workflows directly from AI coding tools and local development environments without compromising security or enterprise guardrails.

Flowgear, an enterprise integration platform serving more than 140 global partners and 1,000 certified developers worldwide, today announced the launch of Builder MCP, a way to build workflows directly from an AI chat.

Builder MCP lets technical teams build Flowgear workflows directly from an AI chat or local IDE, outside the Flowgear console. For integration architects and developers, that means scaffolding and testing backend workflows from the tools they already use, without switching contexts.

Integrating AI Workflows Securely and Conveniently

Open-ended coding gives teams too many pathways for backend engineering, leading to architectural drift, security gaps, and duplicated work. These challenges are amplified as new AI coding tools are being integrated into developer workflows, creating AI sprawl, where multiple teams independently build overlapping or duplicate integrations across isolated tools.

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Builder MCP solves this by constraining AI-generated workflows to validated patterns on Flowgear’s infrastructure, giving AI a toolkit to use rather than a blank canvas to create.

This capabilities upgrade delivers immediate advantages for modern engineering operations, including:

– Build from anywhere. Teams can create and test Flowgear workflows from external AI tools, IDEs, and local environments, using the same tooling surface available inside the Console.

– Faster loops. The AI-assisted workflow cuts the time between drafting and testing, so working outcomes accompany developer inputs.

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– Guardrails included. Every workflow built through Builder MCP inherits platform-level governance and security, so nothing ships without Flowgear’s enterprise controls.

“Builder MCP fundamentally reimagines the integration lifecycle by embedding Flowgear’s framework directly into the AI tools where engineering teams increasingly work,” said Daniel Chilcott, co-founder and CEO of Flowgear. “By using AI to generate and refine structured backend logic on the fly safely, organizations can collapse their integration backlogs and achieve production readiness without the overhead of manual console design.”

Unlike many MCP offerings that focus on giving AI agents access to existing tools, app actions, or enterprise resources, Flowgear Builder MCP gives technical teams a way to create and test new Flowgear workflows from outside the Console, using the same workflow-building tool surface used by Flowgear’s built-in tooling.

Automation That Scales

Modern mid-market and enterprise organizations depend on a dense web of enterprise software platforms to drive daily business execution. When these systems remain disconnected, they generate deep operational drag, manual information dependencies, and siloed visibility across business units.

Flowgear bridges these gaps by providing out-of-the-box infrastructure connectivity that harmonizes data flows across distinct functional departments.

With the debut of Builder MCP, Flowgear establishes an AI-guided framework for constructing and scaling foundational workflows, keeping modern companies moving.

For example, in e-commerce or supply chain environments, Flowgear Builder MCP enables teams to build workflows that seamlessly connect online orders, stock levels, warehouse activity, ERP records, courier systems, and customer notifications. As the business scales, it empowers technical teams to rapidly adapt these workflows to accommodate new sales channels, fulfillment processes, or logistics providers.

Flowgear’s platform gives developers the freedom to build in their preferred environments while maintaining enterprise-grade governance. Builder MCP extends that principle to AI-assisted workflows.

“Builder MCP gives enterprises the confidence to deploy AI-assisted automation because the underlying workflows are governed by a resilient, enterprise-grade environment,” said JJ Milner, co-founder of Flowgear and founder and Managing Director of Global Micro Solutions. “AI development is only as good as the systems that surround it, and with Builder MCP, we are providing the structural foundation required to scale AI automation safely, reliably, and without the risk of sprawl.”

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Beroe and Kearney Launch MAX: The AI-Native Decision Engine That Makes Procurement Continuously Competitive

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Beroe and Kearney Launch MAX: The AI-Native Decision Engine That Makes Procurement Continuously Competitive

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  • MAX sits as the missing connecting layer between data and execution systems

  • The first platform to continuously surface margin opportunities while simultaneously optimizing risk and ESG

  • Powered by codified Kearney methodology and 30M live market signals from Beroe

  • Designed with a Strategic Advisory Council of 13 global procurement organizations, representing some of the world’s most complex supply chains

Beroe, the global leader in procurement intelligence, and Kearney, the global management consulting firm, announced the launch of Beroe MAX powered by Kearney, an AI-native, always-on decision engine designed to make procurement continuously competitive. Launched from the main stage at DPW NYC, MAX is the first product to close the gap between intelligence and decisive action, providing a unified view across cost, risk, and ESG.

Why procurement needs a new operating system

The Chief Procurement Officer mandate has expanded faster than the function’s operating model. Procurement leaders are now accountable for resilience, ESG exposure, tariff response, margin protection, and more, often with the same or fewer resources than they had five years ago. This environment introduces three critical challenges:

  • Velocity: Supply markets move in hours, not quarters, yet category strategies update infrequently.
  • Fragmentation: The profusion of procuretech in recent years has armed procurement teams with tools that provide insights, and others that help execute, without a connection.
  • The Missing Link: What has been missing is an intelligent system that bridges the two.

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Continuous intelligence, applied in context

MAX closes that gap. Built on a neurosymbolic framework that leverages best-of-breed agentic AI, MAX sits as a connecting layer between data and execution systems. It continuously combines Beroe’s global market intelligence and specialist third-party data via a data marketplace, with Kearney’s proprietary consulting methodology, benchmarks, and decision frameworks, applied against a user’s own spend, contracts, and supplier base. The result is recommendations surfaced in the organization’s specific context, as soon as opportunities arise. When a tariff is imposed, a commodity price spikes, or a supplier risk rating shifts, MAX reassesses affected categories and flags the decisions that need attention before teams have to go looking for them.

Built with procurement, for procurement

MAX results from a multi-year partnership between Kearney and Beroe which set out to enable previously impossible decisions and outcomes in procurement. The product was designed with a Strategic Advisory Council of 13 global procurement organizations, representing some of the world’s most complex supply chains, who shaped the product design, validated its application across categories, and continue to steer its roadmap today. Their involvement ensures that MAX reflects the real decisions procurement teams face, not a theoretical model of what those decisions should look like.

Vel Dhinagaravel, Founder and CEO, Beroe, said: “The processes procurement relies on today were built for a world that no longer exists. Teams have always had access to market data, but what they have lacked is a system that connects that data to their specific spend, applies procurement logic, and tells them where to act, continuously. MAX puts that capability into the hands of every category manager, not just the ones in the room with a consultant, enabling decisions and outcomes that were previously impossible.”

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Suketu Gandhi, Co-leader of Global Strategic Operations, Kearney, said: “CPOs are being asked to deliver competitive advantage in markets that move in hours, not quarters. MAX gives procurement leaders the real-time visibility and prioritized recommendations they need to anticipate shifts, focus where it matters, and move decisively. This is not a faster version of the function procurement has always been. It is a different function, one that stops waiting to be asked. It moves from responding to anticipating, from episodic to continuous. That is what it means to compete.”

A CPO member of the Strategic Advisory Council added: “Today, category managers are forced to be selective; focusing on the top 20 percent of spend, the most strategic suppliers, and the categories with the largest potential savings. Smaller opportunities go unrecognized because the analytical cost outweighs the return. MAX changes the economics of that decision. Category managers can now cover every supplier, every category, every day.”

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