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Pacvue Partners with Amazon Ads Japan to Host Hackathon for Agencies and Brands

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Globe Newswire
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Shirofune Introduces Reddit Ads Integration to Expand Omnichannel Platform for U.S. Advertisers

Six advertising agencies and brands will compete for a $20,000 grand prize during the new hackathon, taking place on November 20 at the Shangri La Hotel in Tokyo

Pacvue, the industry’s first AI-powered Commerce Operating System, announced that with sponsorship from Amazon Ads Japan to host a new event, The Pacvue | Amazon Ads Japan Hackathon, on November 20 at the Shangri La Hotel in Tokyo.

The friendly competition is designed to bring together some of the country’s most innovative agencies and brands for a one-of-a-kind learning and networking experience. Teams will compete throughout October for a $20,000 cash prize, presenting their most innovative projects and optimization strategies to a panel of judges on November 20th. The winning team will be announced during the event.

“Pacvue is recognized as one of the most advanced retail media and commerce optimization platforms, so we wanted to bring together the top operators from some of the largest agencies in Japan to showcase Pacvue at full power,” said Nate Shurilla, Head of APAC at Pacvue. “Brands and agencies will get an inside look at advanced strategies and use cases for Pacvue-driven optimization on Amazon, giving insight into how to build online market share and accelerate growth. Come join the fun and see the cutting edge in Amazon Ads optimization across multiple categories such as CPG, consumer electronics, beauty and more.”

Marketing Technology News: MarTech Interview with Julian Highley, EVP, Global Data Science & Product @ MarketCast

Pacvue created the hackathon to foster collaboration, creativity and knowledge sharing among retail media professionals, showcasing advanced strategies and use cases that drive success on Amazon. The event welcomes brands and agencies across the Tokyo area, including both current Pacvue customers and interested brands and advertisers. Attendees can expect to learn from peers, gain new perspectives on digital commerce challenges and be inspired by the innovative strategies shared throughout the competition.

Amazon Ads will kick off the event with a presentation offering attendees valuable insights into the evolving retail media landscape, followed by the unveiling of the team’s “hacks.”

Event Agenda for Thursday, November 20:

  • 3:00–3:20 PM (GMT+9): Registration
  • 3:20–6:00 PM (GMT+9): Welcome remarks, Amazon Ads presentation, and six group presentations with judging
  • 6:00–7:00 PM (GMT+9): Networking party

Pacvue is the only fully integrated Commerce Operating System that seamlessly unifies retail media, commerce management and advanced measurement to power growth across 100+ global marketplaces, including Amazon, Walmart, Target and Instacart. Fueled by industry-leading AI technology, real-time data and actionable insights, Pacvue’s first-to-market platform enables over 70,000 brands and agencies to maximize advertising performance, increase profitability, drive incrementality, capture market share and expand their reach throughout the commerce universe – all from a single mission control. As of 2025, Pacvue powers 12% of total retail media ad spend worldwide. Leveraging the combined strengths of Pacvue’s enterprise suite and Helium 10’s SMB solutions, Pacvue delivers the industry’s most comprehensive platform for businesses of all sizes.

Marketing Technology News: Martech & the ‘Digital Unconscious’: Unearthing Hidden Consumer Motivations

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Akamas Announces GA of Akamas Insights: Empowering Developers, SREs, and Platform Teams to Optimize Reliability and Cost, Together

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Business Wire
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Big Update: HitPaw FotorPea V5.2.0 Introducing AI Canvas and Advanced RAW Image Enhancement

Akamas, the autonomous optimization platform, announced the General Availability of Akamas Insights, the newest module of the Akamas Platform.
Initially launched in beta earlier this year, Akamas Insights brings to market the most comprehensive K8s and first patented AI-driven optimization solution that enables organizations to achieve reliable and cost-efficient performance across Kubernetes environments – effortlessly and collaboratively.

“Our long-term vision is a world where platforms continuously optimize themselves, Akamas Insights is the first real step toward that future.” Stefano Doni, Akamas CTO

Optimization has fallen behind — Akamas makes it effortless

The shift-left revolution has transformed many areas of the software lifecycle – testing, observability, and security among them. Yet, optimization has remained a manual, expert-driven activity, typically confined to pre-production environments.

As release frequencies accelerate, organizations have less and less time for lengthy optimization studies, while inefficiencies and risks silently accumulate in production.

Marketing Technology News: MarTech Interview with Julian Highley, EVP, Global Data Science & Product @ MarketCast

Akamas Insights closes this gap by analyzing telemetry from existing observability tools such as Prometheus, Datadog, Dynatrace, or OpenTelemetry to automatically detect where cost inefficiencies and reliability risks originate across the stack — from clusters to application runtimes.
It then provides ready-to-apply recommendations that allow developers, SREs, and platform engineers to align on safe, data-backed optimizations.

“Observability gave teams visibility; Akamas turns that visibility into actions,” said Enrico Bruschini, COO of Akamas. “With Insights, optimization becomes effortless and collaborative — a shared process that helps every team deliver reliability and efficiency at once.”

Fixing the fracture between platform and application teams

Through extensive validation with dozens of enterprises, Akamas identified a recurring organizational gap: Platform teams manage cluster infrastructure, while application teams focus on delivering new features, and SREs bridge the two under pressure to prevent incidents.

Default configurations, both at the infrastructure, runtime, and application layers, are rarely revisited after initial deployment. When demand grows, new infrastructure is simply added – making overprovisioning the norm rather than the exception.
Even Kubernetes autoscalers, such as HPA and Cluster Autoscaler, can inadvertently amplify inefficiencies when workloads are misconfigured.

Marketing Technology News: Martech & the ‘Digital Unconscious’: Unearthing Hidden Consumer Motivations

The result: Tremendous waste of cloud resources, reliability risks from misconfigured runtimes, and continuous friction between developers, SREs, and platform engineers.

Akamas Insights brings all roles into one optimization workflow. By surfacing cost and risk insights in the same view and quantifying the impact of each recommendation, it enables clear prioritization and safe, measurable improvement across teams.

“With Insights, we connect the dots between application runtimes and Kubernetes infrastructure,” said Stefano Doni, CTO of Akamas. “Teams can finally see — and fix — the inefficiencies that cause waste and reliability issues, all from the same data they already have.”

SREs can easily spot unreliable applications and raise a PR from Akamas with all its recommended changes. Developers can review and approve the PR, effortlessly optimizing full-stack while remaining in control.

Optimization that evolves with your teams

As teams gain confidence, Akamas can automate more steps under policy-driven governance, until optimization becomes a native platform capability — continuous, autonomous, and always aligned with business goals.

Emerging technologies like Kubernetes in-place pod resizing are paving the way for autonomous, continuous optimization, effortless for developers, and integrated directly into the platform.

“Our long-term vision is a world where platforms continuously optimize themselves,” added Doni. “Akamas Insights is the first real step toward that future.”

A unified platform for intelligent, policy-driven optimization

Akamas Insights joins Akamas Offline as part of the Akamas Platform, the only solution that supports both continuous optimization in production and automated performance tuning in pre-production, powered by a patented AI Engine.

  • Akamas Offline – runs controlled experiments to identify optimal configurations before production.
  • Akamas Insights – continuously analyzes observability data to recommend and apply safe optimizations in production.

Together, they enable enterprises to continuously improve reliability, cost efficiency, and performance safely and at scale, across modern cloud-native systems.

“Our customers believe that performance, reliability, and cost can no longer be managed in silos,” added Bruschini. “Akamas helps unify these goals under one intelligent process — measurable, governed, and trusted.”

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

The Streaming Ad Boom Is Just Getting Started

By
Ally Appelbaum
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0

The streaming industry has reached a tipping point. As audiences migrate from traditional broadcast TV to streaming services, advertisers face a landscape demanding increasingly sophisticated, performance-driven strategies. With global streaming ad spending projected to surpass $38 billion by 2027, understanding how these dynamics influence ad investments is essential for marketers and advertisers looking to stay ahead.

From Subscriber Counts to Sustainable Profitability

Streaming has reached widespread adoption, with 90% of streaming-enabled households actively consuming content. However, the industry has moved beyond chasing subscriber numbers—a metric previously overemphasized by Wall Street. Today, profitability and sustainable monetization have taken center stage, shifting platform priorities to content quality, viewer engagement and meaningful ad-supported experiences.

This shift significantly reshapes advertising opportunities, evident in global ad spend forecasts. PwC projects that advertising will represent nearly 28% of streaming revenue by 2028, up from 20% in 2023. As a result, platforms must now refine their ad-supported models to attract both viewers and advertisers seeking premium, impactful placements.

Marketing Technology News: MarTech Interview with Julian Highley, EVP, Global Data Science & Product @ MarketCast

Netflix and Disney: Defining the Future of Content

By investing strategically in live programming, blockbuster original series and event-driven tentpole content, Netflix has consistently captured and retained viewer attention. The remarkable success of its hit series Squid Game underscores this strategy: the first two seasons alone have reached nearly 600 million views globally. Season one remains Netflix’s most popular series ever, with 265.2 million views, while season two garnered an impressive 192.6 million views, making it the most-watched Netflix premiere week and the third-biggest season overall.

Further strengthening Netflix’s appeal to advertisers is its commitment to live events, especially sports, bolstering its ad-supported tier. The platform’s increasing embrace of programmatic advertising—valued for transparency and performance accountability—is attracting more advertiser dollars and setting a benchmark for the industry.

Disney, likewise, has been leveraging a similar strategic blueprint. Its forthcoming standalone ESPN app highlights a significant focus on live sports and event-based content, capitalizing on marquee rights and powerful IP, including the expansive Star Wars franchise. This commitment was front and center at Disney’s upfronts, clearly signaling to advertisers that high-value inventory and engaging content remain integral to its strategy.

In Q4 2024, Disney’s streaming business delivered $321 million in operating profit, a significant milestone driven in part by the success of its ad-supported model. Approximately 60% of new Disney+ subscribers opted into the ad tier—underscoring consumer willingness to engage with advertising in exchange for cost savings, and demonstrating to brands that these viewers are addressable, scalable and valuable.

While leading platforms see continued success, the broader industry has encountered challenges as streaming inventory outpaces demand. Advertisers, faced with this surplus, are raising their expectations and gravitating towards premium platforms capable of delivering superior inventory quality and performance metrics. Programmatic advertising’s ascension underscores this shift, demanding higher transparency and more measurable outcomes.

The Convergence of Linear and Streaming Budgets

A defining trend in today’s media landscape is the rapid reallocation of traditional TV budgets into CTV. According to the IAB’s 2025 Digital Video Ad Spend & Strategy Report, 36% of advertisers increasing CTV spend plan to reallocate budgets directly from linear TV, while another 36% are shifting funds away from social media.

These findings underscore a clear shift in momentum: digital video is expected to capture nearly 60% of total TV/video ad spend in 2025—double its share from just five years ago. It builds on a major turning point from 2024, when digital video surpassed linear TV for the first time.

This budget blending is not only accelerating the adoption of streaming but also pushing platforms to deliver measurement and targeting capabilities that match or surpass linear TV’s historical strengths. For advertisers and planners, it means finding the right balance—leveraging the broad reach and cultural impact of linear TV with the precision targeting, flexibility and performance optimization that streaming offers. In this converged environment, strategic media planning must ensure campaigns are sequenced, coordinated and optimized across both channels to maximize reach, frequency and ROI.

The Bottom Line

The streaming land grab is over—now it’s about who can keep audiences happy. Platforms need to design ad experiences that enhance, not disrupt, the show, such as faster, cleaner breaks; tighter, cross-publisher frequency control and privacy-safe relevance that feels helpful, not invasive. When the experience improves, attention follows—and with it, performance.

Attention begins with better experiences. Ultimately, the winners will be the platforms and brands that put user experience first and keep people coming back for more.

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Aprimo Recognized as a Leader Again in the 2025 Gartner® Magic Quadrant™ for Digital Asset Management

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Business Wire
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Aprimo Recognized as a Leader Again in the 2025 Gartner® Magic Quadrant™ for Digital Asset Management

Aprimo, named a leader in digital asset management (DAM) and content operations, announced that it has been recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Digital Asset Management Platforms. Aprimo has now been positioned in a Leaders Quadrant in every iteration of this report. In the 2025 report, the company is also ranked furthest for “Ability to Execute.”

Aprimo believes this acknowledgment reflects its ongoing success in helping global enterprises achieve measurable value through an AI-powered platform that unifies strategy, execution, and performance across the content ecosystem.

Aprimo’s unified content operations platform, extensive AI-driven capabilities, and enterprise-grade compliance features continue to set the standard for how global brands manage and scale digital content.

“We feel being named a Leader again by Gartner reflects our customers’ success and Aprimo’s relentless innovation in helping enterprises accelerate content velocity,” said Erik Huddleston, CEO of Aprimo. “Ranking furthest on ‘Ability to Execute’ reinforces what our clients already experience every day. We believe Aprimo delivers tangible outcomes, transforming how teams collaborate, automate, and govern their content operations globally.”

Marketing Technology News: MarTech Interview with Julian Highley, EVP, Global Data Science & Product @ MarketCast

Driving Results Through Innovation

Aprimo continues to deliver exemplary innovation using AI and automation including:

AI Where It Counts: Market-leading Generative AI-powered AI search, Predictive Metadata, and content reviews

AI-Driven Personalization: The Content Intelligence module and AI Agent Architecture use behavioral modeling and real-time scoring to automate workflows and deliver dynamic, relevant content.

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Intelligent Organization and Search: AI-powered enrichment, Enhanced Captioning, OCR, and visual search make assets instantly discoverable and reduce manual effort across teams.

Commitment to Customer Success

Aprimo continues to drive measurable customer outcomes across multiple industries and regions. Global brands rely on Aprimo to streamline campaign execution, ensure compliance, and deliver personalized digital experiences at scale.

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Levelpath Recognized in the 2025 Gartner® Procurement Orchestration Platforms Report

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Business Wire
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Levelpath Recognized in the 2025 Gartner® Procurement Orchestration Platforms Report

Levelpath’s AI procurement solution is known for helping enterprises simplify and accelerate procurement orchestration

Levelpath, the AI-native intake-to-procure platform that makes procurement delightful, has been recognized in the 2025 Gartner® Innovation Insight: Procurement Orchestration Platforms report.

“Our mission is to help organizations move beyond disconnected workflows by providing a seamless, intelligent platform that drives efficiency and delight at every step of the procurement journey.”

According to the Gartner report, “93% of organizations reported that increasing the efficiency of procurement processes is a top objective for adopting emerging technologies. But at the same time, 85% of procurement organizations use a combination of different procurement and sourcing applications.”

“We believe this recognition underscores Levelpath’s leadership as an AI procurement solution that unites people, systems, and processes across the enterprise,” said Alex Yakubovich, CEO and Co-founder of Levelpath. “Our mission is to help organizations move beyond disconnected workflows by providing a seamless, intelligent platform that drives efficiency and delight at every step of the procurement journey.”

Marketing Technology News: MarTech Interview with Julian Highley, EVP, Global Data Science & Product @ MarketCast

The Gartner report explores how procurement orchestration platforms are emerging as key enablers of efficiency, visibility, and collaboration. In our opinion, it also highlights the importance of front-end intake capabilities to initiate and coordinate workflows across enterprise systems.

Learn how procurement orchestration platforms are shaping the next wave of transformation and automation. Access the complimentary Gartner® report here.

Levelpath’s Orchestration Capabilities

Levelpath’s orchestration capabilities are designed to unify every step of the intake-to-procure journey within a single intelligent workflow. The platform captures intent at the start of the process, automatically identifies the correct path, and connects with the appropriate systems to execute the request.

Levelpath’s approach to orchestration is a comprehensive five step process:

  • Strategy & Scoping: We align stakeholders on integration objectives, system requirements, and success metrics. This discovery phase establishes clear business use cases, identifies systems in scope, and defines expected data flows.
  • Technical Design: Our engineering and solutions teams architect the integration framework, specifying field mappings, naming conventions, and data transformations. We collaborate with your team to implement OAuth 2.0 client credential authentication and establish technical standards for scalability and security.
  • Environment Setup: Levelpath Orchestration provides API credentials, sandbox environments, and comprehensive developer documentation. Real-world code examples and well-documented endpoints enable your developers to begin building immediately with confidence.
  • Build & Test: Through iterative collaboration, we guide implementation and validation within our sandbox environment. Rigorous end-to-end testing and edge case validation ensure production readiness before launch.
  • Launch & Hypercare: We provide dedicated support during deployment with proactive monitoring and rapid issue resolution. Levelpath Orchestration remains actively engaged post-launch to address evolving requirements and support long-term success.

Levelpath is the only modern procurement platform that has a native supplier system of record to support sourcing, contract, risk, invoice, and other workflows natively while also providing orchestration capabilities. These capabilities extend Levelpath’s data, analysis, and agentic AI outputs to enterprise applications that can be enhanced with this data. The orchestration layer also collects and synchronizes third-party data from IT, contract, risk, finance, and other applications to surface relevant signals, workflow steps, and reviews associated with procurement activities, ensuring coordination across departments.

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Levelpath automates complex routing decisions, orchestrates collaboration across cross-functional teams, and eliminates manual approval processes. The no-code workflow engine enables procurement teams to design and adapt processes dynamically, ensuring that policies and approvals remain consistent while providing stakeholders with a simple, guided experience.

Levelpath customers are leveraging these orchestration capabilities to transform procurement operations:

  • ERP Systems (SAP, Workday, Oracle): Daily synchronization of supplier data between SAP and Levelpath maintains a single source of truth, while user data flows automatically from Workday to ensure accurate organizational visibility.
  • Business Applications (Ariba, OneSec, Jira, OneTrust): Real-time purchase order creation in Ariba upon purchase requisition approval eliminates manual rekeying, and automated ticket creation from Levelpath projects into downstream infosec and IT workflows ensures cross-functional coordination.
  • Data Lakes and Warehouses (Databricks, Snowflake, Amazon S3, Redshift): Master data, organizational hierarchies, and supplier information sync daily from data platforms into Levelpath, while reporting data flows back to enable accurate analysis across the enterprise.

Combined with its intuitive interface and mobile accessibility, Levelpath provides procurement organizations with one unified platform for visibility, compliance, and speed. The result is a modern orchestration experience that empowers enterprises to achieve faster cycle times, higher stakeholder satisfaction, and measurable business value, all within a platform designed to make procurement delightful.

Customer Advisory Board Highlights

As part of Levelpath’s commitment to obsessing over its customers, the company recently hosted the first annual Customer Advisory Board (CAB) at the Exploratorium in San Francisco. The event gathered leaders from global enterprises who are collaborating with Levelpath to shape the future of AI-native procurement.

During the event, Co-founders Alex Yakubovich and Stan Garber shared the latest advancements in Levelpath’s platform, including its agentic AI capabilities. Customers across industries shared their innovative use cases and transformative results with the AI-native solution.

The sessions encouraged collaboration and open dialogue, with customers sharing insights, use cases, and priorities for innovation. Attendees expressed strong enthusiasm for the potential of AI Agents to streamline repetitive tasks, increase efficiency, and create more strategic bandwidth for procurement teams.

Attendees were excited about the Levelpath roadmap, including the agentic AI and orchestration announcements regarding the Agent Library and Agent Studio that were announced to be released this year.

The Levelpath Agent Library is a collection of custom natural language prompts and Task Agents that clients can build to autonomously explore, automate, and orchestrate data and processes across Levelpath. These Agents operate entirely through natural language, allowing users to interact with and extend Levelpath’s capabilities without the need for code or additional integrations.

With the Agent Library, Levelpath’s Hyperbridge agentic AI infrastructure is opened up to AI-savvy procurement teams. The library empowers sourcing, supplier management, and procurement professionals to design and deploy powerful Agents that work seamlessly across Levelpath’s entire Supplier System of Record to enable natural language control over insights, workflows, and decision automation.

Agent Studio is Levelpath’s advanced agent orchestration and automation engine, designed for low-code developers to define the triggers, context, instructions, and outputs that power complex workflow Agents. It supports hybrid orchestration across internal systems, external applications, and third-party data sources that enable iterative exploration, decision automation, and adaptive process execution through natural language.

Currently, Agent Studio is used internally at Levelpath based on client requests and instructions to manage sophisticated agentic workflows and integrations, with direct client access planned for release in 2026.

This CAB reflects Levelpath’s philosophy of customer co-creation, which is centered on building meaningful partnerships that drive shared innovation. Through continued collaboration with its customers, Levelpath aims to make procurement truly delightful.

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

Vbrick Joins Polkadot sub0 SYMBIOSIS in Buenos Aires as Media Partner and Sponsor; CEO Paul Sparta to Keynote on Content Authenticity

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Business Wire
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Trump Media Reaches Amicable Settlement of Legal Dispute

Vbrick, the leading end-to-end enterprise video solution provider, is proud to announce its participation in the upcoming Polkadot sub0 SYMBIOSIS conference, November 14-16, 2025, in Buenos Aires, Argentina. As an official media partner and sponsor, Vbrick will power multi-lingual live streaming of the event and spotlight its Verified Authentic framework as a core innovation in the fight for content integrity.

As content manipulation, deepfakes, and misinformation threaten credibility across every sector, Verified Authentic shifts the paradigm from reactive detection of manipulated media to proactive, verifiable ownership.

Vbrick’s Chairman and CEO, Paul Sparta, will deliver a mainstage presentation, Surviving the Content Tsunami – Entity-hood and Truth, on Saturday, November 15, at 11 a.m. local time, exploring the acceleration of content generation, and determining entity-hood and personhood as we redefine authenticity in an AI-enhanced world.

Marketing Technology News: MarTech Interview with Julian Highley, EVP, Global Data Science & Product @ MarketCast

In the modern Web3 era, the rapid rise of AI-generated video has made it increasingly difficult to distinguish what’s authentic from what’s fabricated. As content manipulation, deepfakes, and misinformation threaten credibility across every sector, Verified Authentic shifts the paradigm from reactive detection of manipulated media to proactive, verifiable ownership. It empowers enterprises, creators, and platforms to publish media with embedded proof of provenance. By combining C2PA and CAWG standards with blockchain technology, leveraging Polkadot’s architecture, Verified Authentic ensures that any media accessed via a trusted player can be traced to its rightful owner.

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“In an age where manipulated media can undermine trust in institutions, people, and brands, the ability to prove content provenance is no longer optional — it is essential,” said Paul Sparta, Vbrick Chairman and CEO. “Verified Authentic marks a turning point, offering an immutable backbone of truth for digital media.”

Sub0 SYMBIOSIS, Polkadot’s flagship conference, brings together builders, innovators, and thought leaders for three days of keynotes, panels, fireside chats, workshops, and a 24-hour hackathon. Vbrick will power the live broadcast of the conference sessions, enabling global remote attendance with high-quality, secure enterprise streaming capabilities. The event is free for all in-person and virtual attendees.

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Provenonce Launches AI-Native GTM Platform, Deploys Semi-Sentient Agents for Business Execution

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MTS Staff Writer
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Infosys Unveils AI-first GCC Model to Transform Global Capability Centers into Innovation Hubs

One year after launching its AI pilot, Provenonce rolls out modular GTM platform and agent-based architecture to enterprise customers.

Provenonce, Inc. announced the commercial launch of its AI-native go-to-market (GTM) platform—a modular automation system designed to help revenue teams streamline messaging, accelerate execution, and convert customer signals into action with unprecedented speed and clarity.

This milestone marks one year since Provenonce’s AI pilot began and represents a major step forward in the company’s mission to build intelligent systems that can scale with the complexity and pace of modern go-to-market operations.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

Unlike legacy sales and marketing tools, the Provenonce platform is built to scale the signal—transforming fragmented data, shifting narratives, and cross-functional inputs into coherent workflows and strategic outputs.

“Modern GTM teams are overwhelmed with noise but starving for clarity,” said Will O’Brien, co-founder and CEO of Provenonce. “We built this platform to turn signal into synchronized execution.”

Platform Performance and Momentum

During its pilot phase, Provenonce demonstrated powerful results across real-world GTM deployments:
– Generated and enriched over 10,000 qualified leads using adaptive outreach systems
– Reduced GTM content development cycles—from decks to outbound campaigns—by up to 75%
– Streamlined cross-functional collaboration for customers using HubSpot, Slack, and other CRM tools

The platform’s modular design enables enterprise-ready deployment without requiring a rip-and-replace approach. Teams can integrate agents into their current workflows in hours—not quarters.

Modular Agents That Think in Context

At the heart of Provenonce is a system of semi-sentient agents—each designed to take on a key role in the go-to-market process:

– Sage, the systems strategist
– Minerva, the outreach engine
– Glyph, the emotional interface
– Logos, the visual architect

Each agent is contextually trained, blending AI capabilities with Provenonce’s unique approach to memory, reasoning, and alignment with business intent. The result is a system that acts not just with precision—but with relevance.

“These aren’t plug-ins or prompts,” added O’Brien. “They’re specialized intelligences that operate in sync—understanding what to do, when, and why.”

Rolling Stone Feature

Provenonce was recently profiled in Rolling Stone for its vision of human-centered AI augmentation:

“Just like the drum machine is a tool for musicians… Provenonce enhances—not replaces—the job of an individual or corporate marketing team.”

From Virtual Events to AI Execution

Founded in 2021, Provenonce originally launched Provenonce Summits, a virtual event platform used by organizations including Tony Robbins, Black Lab X, EPX, and ICOI. As generative AI matured, the company evolved from immersive environments to intelligent automation—transforming its infrastructure into a GTM execution engine.

Provenonce now delivers a unified solution for teams navigating lead prioritization, content generation, strategic messaging, and proposal orchestration—all grounded in an AI-native architecture.

Leadership and Vision

Will O’Brien, co-founder and CEO, previously served in executive roles at BitGo and Big Fish Games, and is a prolific angel investor and advisor with multiple unicorns. Provenonce reflects his vision of systems that blend cognition, clarity, and commercial scale.

The company is currently expanding customer deployments, developing channel partnerships, and actively onboarding growth-stage and enterprise teams seeking faster time-to-market with less manual overhead.

Provenonce has attracted investors across AI, web3, and enterprise SaaS, including Lemniscap, CitizenX, Delphi Ventures, and Tony Robbins’ venture firm.

Marketing Technology News: Is the Traditional CDP Already Out of Date?

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

dmTECH Modernizes Customer Engagement With SAS Customer Intelligence 360 and Snowflake

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PRNewswire
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dmTECH modernizes customer engagement with SAS Customer Intelligence 360 and Snowflake

Leading German drugstore reduces operational workload by up to 90 percent

Germany’s retail landscape is undergoing a digital transformation, and dmTECH – the technology arm of the country’s leading drugstore, dm – is at the forefront. With a vast customer base and a growing demand for personalized experiences, dmTECH recognized the need to modernize its marketing infrastructure to deliver scalable, data-driven campaigns. To meet these goals, the company has partnered with SAS and Snowflake, the AI Data Cloud company, to overhaul its customer engagement strategy.

dmTech modernizes marketing stack with SAS and Snowflake

The company is now using SAS 360 Direct, a module of SAS Customer Intelligence 360 that is operated on the Snowflake AI Data Cloud.

The combination of SAS and Snowflake provides dmTECH with maximum scalability and flexibility, helping them quickly increase the number of marketing campaigns at short notice. One of the most significant benefits has been process automation, which has dramatically improved the efficiency of campaign execution. By reusing audience segments and simplifying selection criteria, dmTECH’s monthly technical effort to operate the full solution was reduced from 5–10 hours to approximately one hour. The transition also led to the development of a future-ready data model that enables more precise customer targeting for existing marketing initiatives.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

As part of its free family program, glückskind (known internationally as babybonus), dm offers parents a wide range of benefits – from pregnancy through their child’s 12th birthday. These include parenting tips, giveaways, app-based coupons, product testing opportunities, and more. One of the key challenges for dm was accurately assigning customers to the right segment based on their life stage – particularly during pregnancy. With SAS 360 Direct, segmentation is now automated: for example, a customer is automatically moved to a new group once she reaches a specific week of pregnancy.

The glückskind program has now been rolled out in most countries where dm operates. Thanks to its high scalability, launching an additional 600 campaigns overnight is no longer a problem.

“dm always aims to reach customers with individual, personalized, and relevant offers – and SAS 360 Direct is key to that,” says Marcel Veith, Data Engineer at dmTECH. “Previously, our data warehouse had limited “opening hours”. With the combination of SAS and the Snowflake database, we can run any number of campaigns around the clock – that’s a huge advantage.”

“We have designed our market leading customer engagement platform, SAS Customer Intelligence 360, from the ground up to help organizations maximize investment in existing data infrastructure, insulate marketing technology from complexity and integration issues, and create and activate audiences and complex segmentations from any source,” said Lisa Loftis, Principal Product Marketing Manager, SAS Global Customer Intelligence. “We are thrilled that dmTECH has chosen SAS to future-proof their MarTech stack and lay the groundwork for scalable, automated, and personalized customer communications.”

Marketing Technology News: Is the Traditional CDP Already Out of Date?

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PixVerse Unveils Remix Feature, Following Swap Update, to Enhance Social Co-Creation in AI Video Generation

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PRNewswire
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PixVerse Unveils Remix Feature, Following Swap Update, to Enhance Social Co-Creation in AI Video Generation

AI video platform PixVerse, with over 100 million users worldwide, launched its highly anticipated Remix feature, following last week’s Swap update. Together, these tools make video creation more interactive and collaborative, transforming AI video experience into a continuous, community-driven journey.

From Generation to Co-Creation

PixVerse lets users create videos from scratch or remix existing ones. You can also extend or reinterpret the story while keeping the original video’s actions, shots, and pacing. Favorite videos can be imported directly into PixVerse for remixing, creating a seamless content loop where creation, viewing, and remixing flow naturally. Remix turns AI video into a social playground where collaboration, participation, and sharing thrive.

PixVerse was recently ranked 25th on a16z’s Top 50 GenAI Consumer Apps, reinforcing its growing influence in the global AI creation landscape. The Platform has been recognized by The Information as one of the Top 3 Asian startups in its annual list of “The 50 Most Promising Startups of 2025”. It’s new single-column interface also enhances content discovery, mirroring social media browsing habits to boost engagement and video sharing.

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How Remix Works

The Remix feature allows users to import any video, apply creative edits, or reinvent its narrative while maintaining core structural integrity — from motion and pacing to character and scene composition. Key applications include:

– Social Co-Creation: Remix trending videos or join viral challenges.
– Community-driven: Share editable templates for others to reinterpret.
– Brand Activation: Enable user-driven campaigns that invite personalization and storytelling around brand assets.

With PixVerse’s new features, users can create distinctive content in seconds. The Remix feature reimagining the same footage in multiple styles — perfect for social dance trends, meme culture, and more. The Swap feature, launched last week, lets users or friends swap AI video cameos — from reimagining scenes to starring in each other’s creative videos.

Users can swipe left & right to trace the source of the original video. When content is remixed, interactions automatically appear in the original creator’s comments, ensuring proper attribution and encouraging collaborative engagement. Built-in traceability ensures ethical attribution and supports sustainable collaboration.

The updated single-column layout makes browsing easier and encourages users to explore and interact with more content.

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Technology Behind Remix

Remix is powered by the proprietary Diffusion + Transformer architecture in V5, enabling precise scene decomposition, consistent recreation, and semantic remapping.

Key highlights for creators:

– Ultra-Fast Generation: Achieve high-quality video in seconds with near-real-time generation. Turbo mode boosts generation speed more than 50%, surpassing industry standards.
– Realistic & Physically Accurate: Proprietary DiT architecture handles complex actions and surreal scenes, producing natural motion, realistic lighting, and physics-consistent video.
– Human-Aesthetic Optimization: Reinforcement learning (RLHF) improves video quality and visual appeal.
– High-Quality Output: Smooth motion, natural style transitions, 1080p support, multi-style anime effects.
– More Features: Multi-frame generation from first and last frames (up to 7 keyframes), 20+ built-in camera motion, audio-video synchronization.

What’s More: Expanding Creative Possibilities

PixVerse now integrates leading image-generation models like Nano Banana, Seedream, and Qwen. Creators can move seamlessly from still images to animated storytelling, bridging ideas from concept to cinematic realization.

Swap, launched last week, built on PixVerse’s Fusion architecture, lets users replace characters, objects, or scenes using text, images, or video, while preserving motion, expressions, and lighting. This opens new possibilities for creative storytelling and branded content.

With over 100 million registered users and 16 million MAU, PixVerse aims to make AI video creation accessible to everyone. Its viral template “Transition Effect” alone has surpassed one billion social views, showing how AI can inspire, connect, and entertain globally.

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Trimble Empowers Civil Contractors with Advanced Site Management Capabilities for Mixed Technology Fleets

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Trimble Empowers Civil Contractors with Advanced Site Management Capabilities for Mixed Technology Fleets

New Functionality Helps Civil Contractors Unlock the Power of Connected Data  for Improved Productivity and Profitability

Trimble announced new features for its Trimble WorksManager software, including design sharing capabilities that mark a big step forward in the industry’s adoption of the ISO 15143-4 worksite data exchange standards. As a key element of Trimble’s site management portfolio, Trimble WorksManager connects the office and the field. It allows users to remotely send construction-ready models, manage onsite devices and machines, and troubleshoot issues to maintain productivity. New functionality also includes greater integration with the Trimble Connect® collaboration platform, further streamlining design and collaboration workflows.

ISO standards are designed to simplify the exchange of jobsite data across both equipment and technology providers. For the first time, Trimble WorksManager will allow users to send design files to other vendors’ grade control systems, enabling mixed technology jobsites to operate using the same design files. This functionality represents a big step forward in the adoption of those standards, both for Trimble and for the industry.

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“The current lack of integration across mixed construction technology fleets is an expensive and frustrating pain point for the construction industry, and adoption of these ISO standards is paramount to construction technology interoperability,” said John Somers, vice president, construction and utility sector at the Association of Equipment Manufacturers (AEM). “We are pleased to see Trimble taking this important step to implement ISO 15143-4 and to make designs usable across technology vendors.”

Enhanced Data Integration and Advanced 3D Visualization
Greater integration between Trimble WorksManager and Trimble Connect helps customers unlock their data for improved productivity and profitability. Now, projects that are initiated in Trimble WorksManager, the Trimble B2W® Estimate estimating software and B2W operations applications are available to the entire project team, subcontractors and owners within Trimble Connect. Streamlined workflows enable WorksManager users to easily access files in the Trimble Connect common data environment for dispatching to the field.

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Additional new features in WorksManager include an advanced 3D visualization module, built on the Trimble Connect 3D Viewer. Now, users will be able to bring together geospatial data from many sources into one environment to view, measure and analyze the entire jobsite. New time-saving workflows help site managers identify errors in design files and provide easy-to-use tools for data clean up on the fly. Additionally, a new integration between Trimble’s WorksManager and the B2W Schedule resource scheduling application gives dispatchers the ability to track Trimble equipment deployed to jobsites to streamline project billing and understand equipment utilization.

“We have significantly enhanced the functionality of Trimble WorksManager to supercharge civil contractors’ data, which hinges largely on the ability to share data across technology providers and users at every phase of a project,” said Elwyn McLachlan, vice president, civil construction product and strategy at Trimble. “Customers asked us for an easier way to share, analyze and make use of jobsite data. With this release, we have made great strides in helping our customers simplify complex tasks, enhance efficiency across the construction lifecycle and empower in-field decision making, where the work is actually being done.”

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OpenText™ Expands Collaboration with SAP to Deliver AI-Ready Cloud Content Management at Scale

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OpenText™ Expands Collaboration with SAP to Deliver AI-Ready Cloud Content Management at Scale

OpenText™, a global leader in secure information management for AI, announced that its OpenText Core Content Management for SAP solutions is officially certified for SAP S/4HANA Cloud Public Edition.

This certification makes OpenText an SAP Solution Extensions partner with a document management platform qualified to support SAP Cloud ERP, offering customers a new level of cloud-first control, compliance, and agility to accelerate work and scale transformation.

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As enterprises across industries modernize their business processes with SAP Cloud ERP, content management has become a critical success factor. To unlock real business value from AI, organizations must connect structured data with unstructured content in governed, intelligent ways. SAP’s structured process expertise, combined with OpenText’s leadership in intelligent content management, provides a unified foundation that reduces complexity, embeds compliance by design, and ensures every decision is backed by trusted, AI-ready information.

“SAP and OpenText are a catalyst for high-performance in the cloud ERP era,” said Darryl Gray, Senior Vice President, ISV Partner Success at SAP. “Together, we’re connecting process and content so organizations can modernize with speed, govern with confidence, and operate with clarity. This collaboration exemplifies how strong partnerships can accelerate customer success and shape the future of intelligent business.”

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Customers can expect a higher standard of automation and intelligence – delivered securely, at scale, and with native integration across SAP Cloud ERP.

“You can’t have a truly great AI experience without managing unstructured content. Through our collaboration with SAP, OpenText is helping solve that challenge at the core of the enterprise, creating a unified view of all enterprise knowledge, structured and unstructured, active and archived, so AI can generate context-rich insights that drive better outcomes,” said Sandy Ono, Executive Vice President and Chief Marketing Officer at OpenText.

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Crest Data Achieves AWS Cloud Operations Competency and Launches a Migration Acceleration Service for Amazon CloudWatch

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Crest Data Achieves AWS Cloud Operations Competency and Launches a Migration Acceleration Service for Amazon CloudWatch

Achieve 60% faster, lower-cost migrations to Amazon CloudWatch

Crest Data, a leader in observability and security services, announced it has attained the Amazon Web Services (AWS) Cloud Operations Competency in Monitoring and Observability. Held by only 0.1% of AWS Partners, this milestone recognizes Crest Data’s expertise in helping customers monitor and optimize application and infrastructure performance on AWS.

The announcement coincides with the launch of Crest Data’s Migration Acceleration Service for Amazon CloudWatch, now available in the AWS Marketplace. The service accelerates the migration from legacy observability platforms to Amazon CloudWatch.

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“Crest Data has worked with AWS for several years, and we are delighted to expand our relationship by achieving the AWS Cloud Operations Competency and launching our new Migration Acceleration Service for Amazon CloudWatch,” said Malhar Shah, CEO of Crest Data. “Observability platform migrations are often complicated, slowing engineering teams and draining budgets. This service removes friction and helps customers consolidate observability operations on Amazon CloudWatch quickly and cost effectively.”

Observability platform migrations are complex, time-consuming, and resource-heavy, slowing innovation and increasing costs. Organizations must maintain compliance, preserve workflows, and manage overlapping platform spend. Crest Data’s service addresses these challenges with automation and expert consulting resulting in:

  • Accelerated Timelines: Crest Data’s migration engine automates up to 90% of dashboard and alert conversion, reducing timelines by 60%.
  • Reduced Risk: Experienced in over 100 migrations, Crest Data consulting teams accurately transition dashboards, alerts, tags, and field mappings, minimizing disruption.
  • Cost Savings: Automation combined with expert resources shortens project timelines, making migrations at least 60% more cost-effective than internal or generalist approaches.

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“Crest Data has been instrumental in helping us achieve comprehensive observability across our customer application stacks through Amazon CloudWatch,” said Dan Cataldo, Global Relationship Manager and Equity Partner at AML Partners LLC. “Their expertise ensured 100% monitoring coverage and enabled us to consistently meet our Service Level Objectives (SLOs), strengthening reliability and customer trust.”

With this new service, customers can take advantage of the latest Amazon CloudWatch features, including advanced metrics and alarms, cross-account and multi-region observability, and enhancements for AI and database observability.

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CallMiner Named a Core Performing Provider in the CMP Research Prism for Conversational IVR/Voicebot

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Blizzard Skis Launches Canvas: A Freeski Collection That Invites Expression and Artistry

The refreshed report highlights the evolving voicebot market, including increased adoption, AI advancements, and impact on customer experience

CallMiner, the global leader in AI-powered conversation intelligence and customer experience (CX) automation, has been named a core performing provider in the refreshed CMP Research Prism for Conversational IVR/Voicebot.

According to the CMP Research Prism, “Self-service in the voice channel is a big opportunity. Historically enabled by touch-tone standard IVRs, recent advancements in conversational, generative and even some agentic models are prompting many executives to explore upgrading their automated voice experience.”

Findings from CallMiner’s 2025 CX Landscape Report support this. Across global organizations, 40% of senior contact center and CX leaders agree that one of the benefits of using AI to improve CX is enabling customers to resolve issues independently (i.e. through self-service.)

The latest CMP Prism refresh includes CallMiner as one of the core performing voicebot vendors empowering CX and customer contact leaders to advance their automation strategies and elevate customer satisfaction through more efficient, intelligent voice interactions.

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With CallMiner OmniAgent, the company’s voice-optimized virtual agent solution, organizations are able to automate omnichannel customer interactions with human-like precision, improving CX and reducing costs. Further, through an integration into CallMiner’s AI-powered conversation intelligence platform, organizations can better understand what conversations to automate, while continuously monitoring and analyzing virtual agent interactions to refine flows, enhance accuracy, and deliver better customer outcomes.

“As organizations increasingly embrace automation – including conversational IVR and voicebot solutions – the ones that stand out will be those that balance operational efficiency with exceptional customer experiences,” said Jeff Gallino, CEO and founder, CallMiner. “We believe that CallMiner is at the forefront of this evolution. With CallMiner OmniAgent, we’re empowering organizations with AI-powered, intelligent automation that harnesses deep insights from every interaction to better meet customer needs and preferences. The result is seamless, personalized automation that’s transforming how businesses connect with and serve their customers.”

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The CMP Research Prism for Conversational IVR/Voicebot evaluated 20 solution providers. The CMP Research Prism is a technology evaluation framework developed by CMP Research, a division of Customer Management Practice (CMP), that is updated twice annually to reflect the latest advancements, provider performance, and market shifts in customer contact and CX technology.

Nicole Kyle, Managing Director of CMP Research, adds, “With the crowded technology landscape, customer contact leaders need a reliable source to guide their technology decisions. CMP Research Prism was created to assess solution providers like CallMiner to equip buyers and influencers of the customer contact and CX technology stack with insights to inform their investments.”

The CMP Research Prism is the only evaluation framework built exclusively for customer contact and CX executives. It enables technology buyers and influencers to distinguish between solution providers in a complex, fast-moving space and make more informed, confident investment decisions.

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StackAdapt and iHeartMedia Bring Broadcast Radio to Programmatic Advertising

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SiteOne Landscape Supply Partners With Goodway Group To Accelerate Growth

Partnership offers marketers real-time access to AM/FM broadcast alongside digital audio, podcast, and streaming inventory through the StackAdapt platform

StackAdapt (www.stackadapt.com), the leading technology company in advertising and marketing, announced a new integration with iHeartMedia, the number one audio company in America, that brings iHeartMedia’s audio inventory (including broadcast radio, digital radio, streaming, and podcasts) directly to advertisers through the StackAdapt platform.

Offering marketers the scale and reach of broadcast radio inventory programmatically represents a major step forward in simplifying audio planning and activation, as advertisers can now plan, forecast, buy, measure, and report on all audio channels within StackAdapt. This eliminates manual processes and enables faster and more precise data-driven decisions across AM/FM broadcast and digital audio.

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“Audio has always been a trusted and powerful medium,” said Greg Joseph, VP of Inventory at StackAdapt. “By making broadcast radio available programmatically, we are transforming one of advertising’s most established channels for the digital era. This integration enables our clients to reach iHeartMedia’s massive listener base with the same speed, efficiency, and transparency they expect from digital.”

In 2025, StackAdapt was ranked the #1 Audio Advertising Platform on G2, reflecting growing demand among marketers for unified, data-driven audio solutions that deliver measurable performance and efficiency across every channel.

iHeartMedia’s broadcast radio stations reach 278 million ad-supported listeners a month, offering brands access to audiences from every corner of the country. Through StackAdapt, advertisers can now target iHeart’s broadcast inventory using first-party audience segments, behavioural data, or custom parameters alongside other programmatic formats such as CTV, DOOH, and display to create a unified, full-funnel audio strategy. With visibility across every format, marketers can plan, forecast, buy, and report on campaigns from one platform while reaching audiences in trusted, regulated broadcast environments.

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Political advertisers will also benefit from this new integration, as they increasingly seek trusted, regulated environments to reach voters at scale. By combining the reach of AM/FM broadcast with programmatic precision, StackAdapt and iHeartMedia enable campaigns to activate effectively across local and national markets during the 2026 election cycle.

“This partnership with StackAdapt makes iHeart’s premium audio experiences more accessible to the programmatic marketplace,” said Lisa Coffey, Chief Business Officer for iHeartMedia. “We are bringing together the reach and trust of broadcast radio with the agility and precision of programmatic buying. For marketers, it is an opportunity to activate at scale in one of the most engaging and brand-safe environments.”

The collaboration reflects the resurgence of local and community-driven content. AM/FM radio continues to hold 64% of all daily ad-supported audio listening, driven largely by the strength of local programming that resonates in rural and remote communities. With the number one use of Alexa Smart Speakers being AM/FM Radio, with iHeart as the most-used radio, broadcast radio remains central to how people consume audio in their homes and cars. By making broadcast radio inventory available programmatically, StackAdapt enables advertisers to reach listeners wherever they are, combining the scale and familiarity of AM/FM radio with the precision and flexibility of digital media.

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PitchBook Launches New Generative AI Experiences with the Introduction of PitchBook Navigator and Upcoming Integration with OpenAI

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PageProof launches Adobe Express add-on for fast and structured creative approvals

New AI Capabilities and MCP Integrations Make Trusted Private Capital Market Intelligence Faster and More Accessible Across Financial Workflows

PitchBook, the leading provider of private capital market intelligence, announced the upcoming launch of PitchBook Navigator, a generative AI feature that delivers best-in-class private capital market insights through simple, natural-language prompts directly within the PitchBook Platform. Navigator will be generally available to subscribers in late November. PitchBook also announced a Model Context Protocol (MCP) connector integration with OpenAI, enabling PitchBook subscribers to securely access its proprietary private market data within ChatGPT. This integration is expected to be available in the near future. Together, these launches bring private capital market intelligence into the age of trusted AI, transforming how financial professionals access, analyze, and act on data.

“AI is only as powerful as the data and research behind it,” said Paul Jaeschke, Chief Product Officer at PitchBook. “With PitchBook Navigator and our growing network of LLM partnerships, we’re bringing private market intelligence into a new era of trusted AI – where insights are not only fast, but also reliable and grounded in data professionals already depend on. By combining the speed of conversational AI with the rigor of our proprietary data methodology, we’re empowering our clients to move from data discovery to decision-making with speed, confidence, and clarity – no matter where they work.”

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Embedded in the PitchBook Platform, Navigator enables users to ask natural-language questions and instantly surface insights on companies, deals, and market trends, powered by PitchBook’s data and proprietary AI + HI (Artificial Intelligence + Human Insights) methodology. This approach pairs advanced AI with human expertise, ensuring every response is fast, objective, and backed by the industry’s most accurate and timely data. At launch, Navigator delivers data and research across companies, transactions, and market themes to accelerate deal sourcing, due diligence, and market analysis. Over time, it will expand to include the full scope of PitchBook’s data, insights and IP.

Early beta testing has demonstrated strong adoption and measurable productivity gains.

  • “I primarily used Navigator for summaries, trends, and recent market activity. It was very helpful in writing a brief summary on PE and RE market trends.” – Director of Public & Private Markets, Boutique Wealth Management Firm
  • “The detailed references to the source data and links to source information is helpful. Very easy to verify that the data presented is accurate.” – Chief Operating Officer, Enterprise Business Development Company
  • “I was able to break down my search request by column, location, and data type. It was smart about answering what I needed.” – Ecosystem Development and Strategic Partnerships, Department of Commerce
  • “It was helpful to get an initial summary in a matter of a couple of seconds/minutes.” – Corporate Development, Space Technology Company

Additionally, PitchBook is expanding its growing network of enterprise AI and MCP integrations with OpenAI. Within ChatGPT, PitchBook subscribers will be able to surface PitchBook’s proprietary insights through secure, conversational prompts, without switching platforms or cross-checking sources. OpenAI and PitchBook share a focus on surfacing premium, high-quality data to its users, enhancing the accuracy and trustworthiness of AI-driven financial analysis.

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“AI is transforming every corner of business, and after nearly two decades building the foundation of reliable, comprehensive data, PitchBook is uniquely positioned to lead this new era of private market intelligence,” said Thomas Van Buskirk, EVP of Technology and Engineering at PitchBook. “By embedding advanced AI in our platform and building integrations, we’re delivering trusted, data-driven insights faster than ever, empowering investors to make confident decisions grounded in PitchBook’s proven data integrity.”

As AI adoption accelerates across financial services, PitchBook continues to build on its legacy of data excellence to drive responsible AI innovation in the private capital markets. The company’s AI roadmap focuses on three core areas:

  • Data collection technology: Scaling AI + HI-powered ingestion engines to expand coverage, reliability, and speed.
  • In-platform experiences: Embedding AI directly into tools like PitchBook Navigator, Profile Summaries, Transcript Summaries, and the VC Exit Predictor.
  • Strategic partnerships and integrations: Expanding collaborations with leading LLM providers to ensure trusted data and insights are available wherever professionals work.

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Julius Expands Leadership in the Offshore Marketing Industry

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Julius Expands Leadership in the Offshore Marketing Industry

With the acquisition of HippoThinks, Julius strengthens its category leadership and launches a new hub dedicated to offshore marketing strategies and scalable digital growth.

Julius, a leading offshore digital marketing agency connecting U.S. companies with top-tier Latin American talent, has officially acquired HippoThinks, a former content strategy firm known for driving visibility for innovators and global organizations.

The acquisition marks a strategic move in Julius’s expansion as a category-defining offshore marketing partner, bringing new infrastructure, capabilities, and digital assets into its growing ecosystem.

Julius

It also signals the company’s continued investment in elevating how businesses access and activate offshore talent, going beyond outsourcing to build full-service marketing operations designed for real impact.

A New Hub for Offshore Marketing Strategy

As part of this integration, Julius has rebranded the acquired properties and domain under a new one—offshoremarketing.julius2grow.com/.

This newly launched platform will serve as a destination for businesses looking to scale through offshore marketing models, from paid media and SEO to content, analytics, and automation.

Visitors can expect real-world frameworks, staffing playbooks, and thought leadership to help them build distributed marketing teams that perform.

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“Offshore marketing isn’t just a service offering: it’s a category we’re shaping,” said Jorge A. Ayala Rascón, Managing Director of Julius North America. “With this acquisition, we’re investing in infrastructure and reach, allowing us to lead the conversation around building high-performance offshore marketing teams.”

A Strategic Move for Category Leadership

Founded in 2019 as the merger of MKX (est. 2009) and Arkix (est. 2004), Julius helps U.S. agencies and marketing teams scale faster by integrating top Latin American specialists across Paid Media, SEO, Analytics, Content Marketing, and Marketing Automation.

What sets Julius apart is its unique combination of U.S.-aligned time zones, agile team integration, and cost-effective, high-performing talent. These qualities have made Julius the go-to offshore partner for startups, mid-market firms, and Fortune 500 companies alike.

Now, with the launch of its dedicated Offshore Marketing hub, Julius doubles down on its category-defining mission: providing companies with a centralized destination for smarter, faster global marketing execution.

The new property will complement Julius’s broader ecosystem, which already includes a robust insights library via the Julius Blog, where visitors can expect how-to guides, offshore staffing playbooks, business cases, and practical frameworks to help them build distributed teams that deliver results.

Brand Visibility and Local Presence

This move is also part of Julius’s broader strategy to expand visibility across key U.S. markets.

By anchoring the Offshore Marketing conversation with educational content, business cases, and real-world frameworks, the company empowers decision-makers to explore global staffing models with confidence.

The acquisition brings together HippoThinks’ editorial legacy with Julius’s offshore execution power, offering a complete solution for companies looking to scale marketing performance with real results.

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Seeweb joins the SkyPilot network

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Seeweb joins the SkyPilot network

Seeweb integrates with SkyPilot, bringing seamless, scalable AI computing to developers across Europe.

Seeweb, one of Europe’s leading cloud providers, announces its integration with SkyPilot, an open-source project developed at the University of Berkeley that enables the management and scaling of artificial intelligence (AI) workloads across any infrastructure.

With this partnership, Seeweb becomes part of the officially supported providers within the SkyPilot network, joining global giants such as AWS, Google Cloud, and Microsoft Azure.

The goal is to offer European developers and companies the ability to create and manage AI servers automatically and at scale, directly from the terminal, choosing the computing power best suited to their needs and launching customized workloads for their projects in YAML format.

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“With SkyPilot, we’re taking the Seeweb cloud experience to a new level of simplicity,” explains Marco Cristofanilli, Head of AI at Seeweb. “Just one command gives access to our GPU resources and starts the AI processes needed for your project, with local-level performance and the security of a fully GDPR-compliant European infrastructure.”

An Infrastructure for the Next Generation of AI

With over 9,000 stars on GitHub, SkyPilot is an open-source platform designed to make using cloud resources for AI simpler and more sustainable.
The system allows users to orchestrate and optimize AI model execution across multiple providers, automatically selecting the most efficient infrastructure in terms of cost, availability, and performance.

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Thanks to the integration with Seeweb, users can now rely on next-generation GPUs (including NVIDIA H200, H100, A100, and also AMD options) and Italian data centers, ensuring low latency and full regulatory compliance.

Seeweb’s cloud GPUs stand out for their unique price-performance ratio in today’s market, offering hourly consumption options, cost optimization for reserved instances, and the ability to delegate to Seeweb’s engineering team tasks such as GPU infrastructure management, hardware updates, and system customization.

This new integration with SkyPilot further reinforces Seeweb’s role as a leading European technology partner for artificial intelligence, providing a high-performance, fully managed infrastructure within its cloud data centers in Italy.

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Ecer.com Powers Global Trade with Mobile-First, AI-Enabled B2B Marketplace

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Ecer.com Powers Global Trade with Mobile-First, AI-Enabled B2B Marketplace

The tide of globalization is surging, and as “going global” shifts from an option to a necessity for Chinese small and medium-sized enterprises (SMEs), how can they navigate and thrive in this new landscape?

Ecer.com, a leading global mobile B2B marketplace, is transforming. It is moving beyond its role as a mere “connector” of information bridges to become a comprehensive enabling “infrastructure.” It is rapidly becoming an indispensable game-changer and guide for SMEs in their global expansion journey.

From “Information Silo” to “Digital Ecosystem”
Traditional foreign trade often felt like sailing through a dense fog. Suppliers with excellent products struggled with obscurity, while eager buyers searched endlessly for quality partners.

Over sixteen years, Ecer.com has woven a digital trade network covering 2.6 million suppliers and reaching over 150 countries. This is not just an aggregation of scale; it’s a fundamental re-engineering of trade logic:

For Suppliers: The marketplace serves as a “24/7 Global Showroom,” allowing “Made in China” to directly face the world.

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For Buyers: The marketplace acts as a “Precise and Efficient Smart Buyer,” providing one-click access to quality resources across entire industrial supply chains.

From “Mobile-First” to “Intelligence-Leading”
If mobilization solved the “efficiency” problem in trade, intelligence is now conquering the stronghold of “effectiveness.”

While the industry is still discussing the convenience of mobile connectivity, Ecer.com has already completed the leap from “tool innovation” to “model reconstruction”:

Mobile Scenarios Reconstruct Collaboration: Factory inspection, negotiation, trade show participation—once “heavy” activities requiring physical presence—are now seamlessly executed within the confines of a small screen.

AI Brain Empowers Decision-Making: Smart matching is no longer a simple guess; it’s a “Precise Union” based on deep data insights. Multi-language customer service is more than just translation; it’s a “Cultural Bridge” operating 24 hours a day.

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From “Transaction marketplace” to “Growth Partner”
Ecer.com’s most significant value evolution is that it has moved beyond the traditional B2B marketplace’s role of mere “matchmaking.” It has built a full-link guardianship system covering “Sourcing – Communication – Inspection – Delivery.”

The Future is Here: A New Era of Digital Leadership
From breaking down information barriers, to reconstructing collaboration models, and finally to building an empowering ecosystem—every step taken by Ecer.com is precisely synchronized with the rhythm of Chinese SMEs’ global journey.

In this intelligent-driven era, the greatest value no longer comes from a simple information gap, but from the ability to become the most trusted “Digital Partner” in the globalization process of SMEs.

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AGII Introduces Predictive AI Systems to Strengthen Smart Contract Accuracy

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Ecer.com Pioneers the Digital Highway for Chinese Manufacturing with Full-Stack AI Solutions

The new predictive intelligence upgrade enables faster, error-free automation across decentralized ecosystems.

AGII, an advanced AI-driven automation platform for Web3, has unveiled predictive AI systems designed to enhance smart contract accuracy and reliability across decentralized applications. This breakthrough technology introduces proactive intelligence that identifies, analyzes, and corrects potential execution errors before they occur.
By integrating predictive modeling into smart contract workflows, AGII enables developers and enterprises to achieve unprecedented precision in contract deployment and automation. The system continuously learns from past transactions, anticipates anomalies, and optimizes contract parameters in real time—reducing costly inefficiencies while ensuring consistent performance under varying network conditions.

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The predictive AI systems not only improve smart contract validation and verification but also establish a foundation for self-correcting infrastructure within Web3 ecosystems. Whether managing large-scale DeFi protocols, DAO governance, or multi-chain operations, AGII’s innovation minimizes human oversight while maximizing trust, speed, and transparency.

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“Smart contracts should evolve beyond static code,” said J. King Kasr, Chief Scientist at KaJ Labs. “AGII’s predictive AI transforms blockchain logic into living intelligence—self-aware systems that understand, adapt, and prevent failure before it happens.”

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Colle AI Deploys Adaptive NFT Engines to Streamline Creator Automation

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Infosys Unveils AI-first GCC Model to Transform Global Capability Centers into Innovation Hubs

Advanced AI-powered systems enhance workflow efficiency, design adaptability, and cross-chain publishing for the NFT ecosystem

Colle AI (COLLE), the AI-powered multichain NFT platform, has deployed adaptive NFT engines designed to optimize automation, simplify workflows, and enhance creative flexibility across blockchain environments. These intelligent systems enable creators to design, refine, and publish NFTs faster while maintaining precision across Ethereum, Solana, Bitcoin, XRP, and BNB Chain.

The adaptive NFT engines use AI-driven logic to automate repetitive processes like metadata configuration, contract generation, and cross-chain deployment. This allows creators to focus on design and innovation while the platform manages technical execution. The system continuously learns from creator patterns, adapting to user behavior to improve efficiency with each project iteration.

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“Adaptive automation is the cornerstone of next-generation digital creation,” said J. King Kasr, Chief Scientist at KaJ Labs. “With Colle AI’s NFT engines, we’re merging intelligence and efficiency—empowering creators to produce, iterate, and deploy their work across multiple blockchains with seamless precision.”

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By deploying adaptive NFT engines, Colle AI continues to advance its mission of redefining NFT creation through intelligent automation. The innovation marks another step forward in building a scalable, accessible ecosystem that empowers creators to thrive within the decentralized Web3 landscape.

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