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VertexOne Realigns Executive Team to Advance Customer Experience and Operational Excellence

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VertexOne Realigns Executive Team to Advance Customer Experience and Operational Excellence

Keith Ahonen to Lead Operations; Tina Santizo Appointed Chief Client Officer to Strengthen End-to-End Client Success

VertexOne, a leading provider of cloud software designed to revolutionize the customer experience within the energy and utility industry, announced key executive realignments to enhance delivery performance and reinforce its commitment to customer success.

Keith Ahonen has been appointed Executive Vice President, Operations, where he will oversee VertexOne’s deployment and delivery functions to ensure consistent execution, quality, and scalability across client engagements.

“These moves are about deepening our focus on the customer journey within VertexOne” – Andrew Jornod, VertexOne CEO

Tina Santizo has been named Chief Client Officer (CCO), a new role designed to unify the company’s long-term customer journey, including training, client success, and retention, under a cohesive strategy focused on value realization and long-term relationships.

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“These moves are about deepening our focus on the customer journey within VertexOne,” said Andrew Jornod, CEO of VertexOne. “Keith and Tina bring complementary strengths of operational discipline and customer-first leadership that together will strengthen how we deliver and support success for our clients.”

Ahonen, an energy and utility industry veteran with more than 25 years of operational expertise, joined VertexOne following its 2024 acquisition of Accelerated Innovations, where he served as Chief Operating Officer. In his new role, Ahonen will focus on enhancing deployment processes, knowledge sharing, and delivery performance to help client achieve faster, more reliable outcomes.

“Operational excellence is the foundation of great customer experience,” Ahonen said. “Our clients depend on us to deliver consistency and quality at every stage of implementation. My focus is ensuring we set that standard.”

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Santizo, who previously served as Chief Operating Officer, has been a central force in advancing client advocacy across VertexOne. As CCO, she will lead efforts to strengthen client engagement, ensuring every client realizes measurable value from their VertexOne investment.

“Tina has always led with the client at the center,” Jornod said. “Formalizing her role as Chief Client Officer underscores our commitment to bringing that focus under strategic, unified leadership.”

“A client’s experience with us is a continuous journey,” Santizo said. “This new role allows us to take a more holistic view of that, connecting insights, training, support, and renewals to create seamless, value-driven experiences for our clients.”

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Crest Data Launches Migration Services for Next-gen Security and Observability Platforms on Google Cloud Marketplace

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Crest Data Launches Migration Services for Next-gen Security and Observability Platforms on Google Cloud Marketplace

Crest Data, the market leader in observability and cybersecurity services, announced the launch of its Migration Acceleration Consulting Services for user’s chosen security operations platform including Google Security Operations, Datadog, and more. Crest Data’s availability on Google Cloud Marketplace helps customers quickly and efficiently leverage the solution to migrate from legacy SIEM and observability platforms to a next-gen SIEM platform, significantly reducing time, cost, and complexity.

As organizations face mounting costs and limitations with traditional SIEM and monitoring tools, Crest’s consulting service enables customers to modernize their technology stack by transitioning to Google Security Operations’ unified observability and security platform – cutting migration timelines by up to 60%.

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“Many enterprises want to move to a next-gen SIEM platform but are slowed down by the complexity of converting dashboards, alerts, and workflows from legacy systems,” said Neha Shah, Crest Data’s Co-founder & CTO. “Our consulting services eliminate that friction and drastically reduce the effort required to complete the transition.”

Crest Data Systems’ new offering provides a comprehensive range of services, including:

Integration Development Services

  • Custom Integration Development: Building custom connectors and workflows to integrate Google Security Operations with existing IT ecosystems, such as SIEMs, SOARs, Agentic AI, and ticketing systems. Includes data ingestion, premium parsers, custom use case creation, custom deployment, custom playbooks.
  • Migration Services: With the help of Automated Migration Engine, migrate existing SIEM and SOAR platforms to next-gen platforms such as Google Security Operations.

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Implementation Services

  • Implementation and Deployment: Crest Data’s experienced consultant can help with seamless setup and configuration of Google Security Operations from scratch. Includes initial setup and configuration, custom integrations, and dashboard design.
  • Optimization services: Ongoing support to optimize performance, reduce false positives, and enhance threat detection capabilities.
  • Custom solutions: Includes custom dashboards and reports, scripting and automation, training and enablement, tailored security solutions, security monitoring.
  • Ongoing Support and Maintenance: Health checks, proactive monitoring, technical support.

“Bringing Crest Data’s Migration Acceleration Consulting Services to Google Cloud Marketplace will help customers quickly deploy, manage, and grow the migration solution on Google Cloud’s trusted, global infrastructure,” said Dai Vu, Managing Director, Marketplace & ISV GTM Programs at Google Cloud. “Crest Data can now securely scale and support customers on their digital transformation journeys.”

By partnering with Crest Data, organizations can accelerate their integration and adoption of Google Security Operations, reduce deployment risks, and unlock the full potential of a truly unified cybersecurity platform. This new offering reinforces Crest Data’s commitment to providing cutting-edge cybersecurity solutions that empower businesses to stay ahead of threats.

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OpenText World 2025: OpenText Unveils Next-Generation AI Data Platform for Secure Information Management

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OpenText World 2025: OpenText Unveils Next-Generation AI Data Platform for Secure Information Management

New platform unites data management and AI to help enterprises securely activate their information and deliver contextual, trusted automation at scale

OpenText, a global leader in secure information management for AI, announced its vision for the future of enterprise AI with the introduction of the OpenText AI Data Platform (AIDP). OpenText AI Data Platform addresses the convergence of data and AI to deliver secure and scalable enterprise capabilities.

As volumes of proprietary data grow exponentially, organizations face mounting pressure to manage, secure, and activate their private information. Moreover, according to McKinsey’s annual State of AI study, 51% of organizations using AI have experienced at least one negative consequence and inaccuracy, underscoring the need for information governance. OpenText’s innovation roadmap focuses on helping customers establish contextual data foundations to fuel accurate AI results to accelerate business outcomes.

“AI is evolving rapidly, from search and summarize to domain-specific agents. Rather than the world of one super agent, we will soon have armies of secure AI agents for every critical business process coordinated through AI orchestrators,” said Savinay Berry, CPO & CTO at OpenText. “While others are starting with models, we start with governed enterprise content and processes. That’s why our agents will answer with auditability and not guesswork. We believe that accuracy through trusted data and AI is not just an IT challenge; it is a c-level imperative.”

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A Vision for Contextual AI

OpenText’s AI strategy is built on nearly 35 years of being the custodians of data for its customers. Practical enterprise AI requires agents to understand the specific situation, environment, and task it operates within to be effective. With the right context, OpenText can bring new life to old data, while solving relevancy and avoiding false confidence.

OpenText business applications assist enterprises in managing their largest data sets today including documents, commerce trades, IT tickets, and security signals. This can be human generated content, machine generated content, or content between organizations. OpenText ensures that information has metadata tags to provide data lineage, data rights, and data retention policies. With data security and identity access management wrapped around it, these contextual elements are critical to driving accuracy with any enterprise AI model.

OpenText Aviator then sits on top of this contextually rich data to enable automated workflows with agentic AI. OpenText’s Aviator is unique because it adheres to three core standards:

  • Multi-cloud: Supports on-premises, cloud, and hybrid deployments
  • Multi-model: Compatible with any AI model (LLM, SLM), including bring-your-own-model
  • Multi-application: Deep integration with ERP, CRM, and other enterprise platforms

This open architecture ensures that organizations can tailor their AI strategies to their specific business, industry, and compliance needs. Furthermore, OpenText is working across the ecosystem with alliance partners like SAP, Microsoft, Google, Salesforce, Oracle, and more on deep integrations to drive an agent-to-agent roadmap.

Today, OpenText also announced it will be expanding its partnership with Databricks, the Data and AI company. OpenText already builds solutions on the Databricks Data Intelligence Platform with OpenText Threat Detection and Response. Now OpenText and Databricks will be working to co-innovate on the OpenText AI Data Platform through technical integrations and Delta Sharing. Together, customers can seamlessly unify, govern, and analyze all their enterprise data, empowering them to unlock trusted AI insights and drive innovation at scale.

“With the OpenText AI Data Platform, we are building a truly open architecture enabled by APIs so the choice of where the data resides always sits with our customers. AI agents must be built on specific data sets to be relevant and accurate,” continued Berry. “Whether in automotive, banking, oil and gas, or pharmaceuticals, our platform will enable integrations at multiple layers with strategic partners to enable agents to leverage domain-specific knowledge securely.”

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Showcasing Innovation at OpenText World 2025

At its annual flagship event, OpenText World 2025, the company also introduced several groundbreaking innovations and outlined its 18-month roadmap (releases OT 26.1 – OT 27.2) that redefine how enterprises will interact with data and AI:

  • OpenText AI Data Platform (AIDP) – An open, unified data and AI framework with a governance orchestration layer that enables AI agents (Aviators) to help customers unlock new value.
  • OpenText Aviator Studio – A no-code platform to build, govern, and connect enterprise AI agents to empower organizations to realize ROI from AI faster.
  • OpenText Knowledge Discovery – A set of tools to ingest structured and unstructured data, automate meta-data tagging, and connect to rich data sources in real-time.
  • OpenText Data Compliance – A suite of services including AI readiness assessments, data redaction and PII controls, data tokenization, data encryption and privacy protection, and threat detection and response.
  • OpenText Aviator AI Services – A team of OpenText Professional Services experts to help customers on the journey from discovery to deployment to adoption of purpose-built agents to realize business value.

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WEKA Unveils Next-Gen WEKApod Appliances to Redefine AI Storage Economics

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WEKA Unveils Next-Gen WEKApod Appliances to Redefine AI Storage Economics

Powered by AlloyFlash, WEKApod Prime Delivers Breakthrough Cost Efficiency with 65% Better Price-Performance; WEKApod Nitro Offers Unprecedented Performance Density with 2x Faster Speeds for Demanding AI Workloads

WEKA, the AI storage company, announced the next generation of its WEKApod™ appliances to upend traditional performance-versus-cost trade-offs. The completely redesigned WEKApod Prime appliance achieves 65% better price-performance by intelligently placing data across mixed flash configurations, delivering breakthrough economics without compromise. WEKApod Nitro doubles performance density with refreshed hardware, enabling organizations to accelerate AI and high-performance computing (HPC) innovation, maximize GPU utilization, and serve more customers. Its higher-density design also makes it ideal for large-scale object storage repositories and AI data lakes that demand performance without compromise.

WEKA announced the next generation of its WEKApod™ appliances to redefine AI storage economics.

WEKApod appliances are the easiest and fastest way to deploy and scale NeuralMesh™ by WEKA, the world’s only storage system purpose-built to accelerate AI at scale. WEKApod delivers NeuralMesh’s software-defined flexibility in ready-to-deploy, pre-validated configurations with a significantly improved setup utility with a plug-and-play experience. Organizations can start with as few as eight servers and scale to hundreds as their deployments grow, eliminating complex integration work while accessing NeuralMesh’s complete enterprise feature set—including distributed data protection, instant snapshots, multi-protocol access, automated tiering, encryption, and hybrid cloud capabilities.

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The Infrastructure Efficiency Crisis
Organizations investing in AI infrastructure face mounting pressure to demonstrate ROI as valuable GPU resources sit underutilized, training cycles extend timelines, inference costs consume margins, and cloud bills spiral with data growth. Traditional storage systems force an impossible choice: extreme performance or manageable costs, never both. Meanwhile, datacenter constraints—limited rack space, power budgets, and cooling capacity—mean every rack unit must deliver more capability or infrastructure costs spiral out of control.

The next-generation WEKApod family directly addresses these business challenges head-on. WEKApod Prime eliminates the forced trade-off between performance and cost, delivering 65% better price-performance through intelligent data placement that automatically optimizes placement based on workload characteristics—ensuring writes maintain full performance while achieving breakthrough economics.

Now AI Builders and Cloud Providers Can Eliminate the Performance-Cost Trade-off

WEKApod Prime: offers a unique approach to mixed-flash technology, intelligently combining TLC and eTLC flash drives in configurations supporting up to 20 drives in a 1U rack or 40 drives in a 2U rack configuration. Unlike traditional tiered storage solutions that introduce cache hierarchies, data movement between tiers, and write performance penalties, WEKApod’s AlloyFlash delivers consistent performance across all operations—including full write performance without throttling—while achieving breakthrough economics. No compromises, no write-performance penalties, no cache hierarchies. WEKApod Prime is already being used by leading AI cloud pioneers like the Danish Centre for AI Innovation (DCAI).

The result is exceptional density that directly addresses datacenter resource constraints: 4.6x better capacity density, 5x better write IOPS per rack unit (versus previous generation), 4x better power density at 23,000 IOPS per kW (or 1.6 PB per kW), and 68% less power consumption per terabyte while maintaining the extreme performance AI workloads demand. For write-intensive AI workloads like training and checkpointing, this means storage keeps pace without performance penalties that can idle expensive GPUs during critical operations.

WEKApod Nitro: purpose-built for AI factories running hundreds or thousands of GPUs, delivers 2x faster performance and 60% better price-performance through upgraded hardware, including NVIDIA ConnectX-8 SuperNIC, delivering 800 Gb/s throughput and 20 TLC drives in a compact 1U form factor. As turnkey NVIDIA DGX SuperPOD and NVIDIA Cloud Partner (NCP)-certified appliances, both WEKApod configurations eliminate weeks of integration work, allowing organizations to bring customer services to market in days rather than months while ensuring storage infrastructure keeps pace with next-generation accelerators.

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Measurable Business Impact Across AI Deployments

  • For AI Cloud Providers and Neoclouds: Serve more customers profitably with existing infrastructure while maintaining guaranteed performance SLAs. The 65% improvement in price-to-performance directly translates into higher margins for GPU-as-a-service offerings. Faster deployment times mean faster time-to-revenue for new customers.
  • For Enterprises Deploying AI Factories: Deploy AI initiatives in days, not months, with turnkey solutions that eliminate complex integration work, enabling IT teams to achieve enterprise-grade storage performance without specialized expertise. Reduce power consumption by up to 68% through improved density and efficiency, while scaling AI capabilities without proportional increases in datacenter footprint, power, or cooling requirements—delivering measurable infrastructure ROI from day one.
  • For AI Builders and Researchers: Accelerate model development with GPU utilization rates exceeding 90%. Reduce training time to accelerate iteration cycles and gain a competitive advantage. Lower inference costs that make new AI applications economically viable. Start with as few as eight servers and scale to hundreds as needs grow, with complete NeuralMesh enterprise features included by default.

AI infrastructure providers are already seeing direct business impact from these innovations:

“Space and power are the new limits of innovation in data centres. WEKApod’s exceptional storage performance density allows us to deliver hyperscaler-level data throughput and efficiency within an optimised footprint—unlocking more AI capability per kilowatt and square metre,” said Nadia Carlsten, CEO, Danish Centre for AI Innovation (DCAI). “This efficiency directly improves economics and accelerates how we bring AI innovation to our customers.”

“AI investments must demonstrate ROI. WEKApod Prime delivers 65% better price-performance without compromising on speed, while WEKApod Nitro doubles performance to maximize GPU utilization. The result: faster model development, higher inference throughput, and better returns on compute investments that directly impact profitability and time-to-market,” said Ajay Singh, Chief Product Officer at WEKA.

“Networking is essential to AI infrastructure, transforming AI compute and storage into a thinking platform that generates and delivers tokens of digital intelligence at scale,” said Kevin Deierling, senior vice president of Networking at NVIDIA. “With NVIDIA Spectrum-X Ethernet and NVIDIA ConnectX-8 networking at the foundation of WEKApod, WEKA is helping enterprises eliminate data bottlenecks— which is critical to optimize AI performance.”

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Optrua Rebrands Around AI-Powered CRM: “Smarter Systems. Better Sales.” Signals New Era for Mid-Sized Businesses

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Optrua, a Microsoft partner specializing in Dynamics 365 Sales and Power Platform solutions, today announced a strategic rebrand centered around its new tagline: “Smarter Systems. Better Sales.” This shift reflects Optrua’s commitment to helping mid-sized businesses modernize CRM and sales automation in an era increasingly defined by artificial intelligence (AI).

The rebrand comes at a time when mid-market organizations are under pressure to adopt AI and automation tools while still wrestling with legacy systems. Optrua’s sharpened focus is aimed squarely at this gap, supporting companies that have invested in Microsoft’s ecosystem but need guidance in integrating CRM, Copilot, and other AI-powered capabilities.

Christopher Davies, Director of Operations at Optrua, added: “This isn’t just a tagline update. It’s a reflection of how our clients’ challenges have evolved and how we’re meeting them. The intersection of CRM and AI is the future of sales, and we’re making sure our clients are ready for it.”

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With this rebrand, Optrua will continue to expand its flagship offerings, including the Optrua Care Plan, CRM Quick Start packages, and AI-driven solution blueprints. The updated brand identity signals both continuity and growth: Optrua remains committed to its proven methods while embracing the next chapter of CRM innovation.

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Modcon Systems Unveils AI-Integrated Analyzer Platform for Real-Time Process Optimization

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Modcon Systems Ltd., a global leader in process analyzers and intelligent process optimization, announced the launch of its next-generation Modcon.AI platform. The system integrates live data from real-time in-situ analyzers directly into artificial-intelligence algorithms, enabling closed-loop optimization of complex industrial processes in refineries, petrochemical plants, and green-hydrogen facilities.

For decades, industrial optimization relied on historical process data, model-based simulations, and post-event analysis. While effective under steady conditions, these methods often lag behind the dynamic reality of today’s energy sector—where fluctuating feedstock quality, variable renewable inputs, and tightening environmental regulations demand continuous adaptability. The new Modcon.AI platform addresses this challenge by merging verified real-time analyzer measurements with deep-reinforcement learning (DRL) to deliver adaptive control decisions within milliseconds.

This convergence of measurement and intelligence ensures that AI operates not on assumptions, but on live physical data that reflect the actual process state. The result is a system that improves energy efficiency, enhances product quality, reduces emissions, and reinforces plant safety—all in real time.

Industrial AI only creates real value when grounded in precise, continuous measurements from process analyzers that close the loop between real-time data and intelligent process control.”

— Gregory Shahnovsky, CEO of Modcon Systems Ltd.

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“Industrial AI becomes meaningful only when grounded in continuous and accurate measurement,” said Gregory Shahnovsky, CEO of Modcon Systems. “By connecting our MOD-series analyzers directly with adaptive learning models, we transform raw data into actionable intelligence that allows plants to run cleaner, safer, and smarter.”

The Modcon.AI platform leverages Modcon’s field-proven analyzers—including the MOD-1040 Optical Oxygen Analyzer, MOD-1060 Hydrogen Analyzer, and Beacon-3000 NIR Process Analyzer—all designed for harsh operating environments and certified to ATEX/IECEx Zone 1 and SIL-2 functional safety standards. These analyzers continuously measure oxygen, hydrogen, and hydrocarbon streams composition in high-pressure, high-temperature and corrosive streams, ensuring reliable performance where conventional instruments often fail.

Through secure Modbus and Ethernet communication protocols, analyzer data is transmitted to the Modcon.AI edge-analytics layer, where advanced neural networks process multiple input streams, detect anomalies, predict process deviations and recommend corrective actions. This architecture effectively closes the loop between measurement and control, allowing production units to self-adjust while maintaining human oversight and safety compliance.

Initial pilot implementations in refinery and hydrogen production units have demonstrated measurable impact:
* Up to 15% reduction in process variability, resulting in smoother operations and lower waste.
* 8% decrease in CO₂ emissions through optimized feedstock blending and combustion control.
* Extended catalyst life and reduced unplanned downtime through early anomaly detection.

The system’s design also enables predictive maintenance. By continuously monitoring process conditions and products quality, Modcon.AI alerts operators before process failures or fouling events occur—reducing maintenance costs and improving uptime. This predictive layer is built upon Modcon’s decades-long experience in field instrumentation, ensuring that AI insights remain rooted in the realities of industrial operations.

Beyond individual plant performance, Modcon.AI enables enterprise-level optimization. Plant operators can benchmark multiple facilities, compare efficiency indicators, and simulate “what-if” scenarios to evaluate the impact of operational changes on yield, energy use, and emissions. The modular platform is compatible with existing DCS, PLC, and cloud environments, offering flexible deployment across on-premise and hybrid architectures. All communication layers follow IEC 62443 cybersecurity standards, guaranteeing secure integration within critical infrastructure.

Shahnovsky emphasized that this development aligns with global efforts toward decarbonization and the energy transition: “Our mission is to make real-time data not just visible but actionable. Industrial decarbonization will not happen by adding more sensors—it requires intelligent analyzer systems that understand and react instantly. Modcon.AI is our contribution to achieving measurable sustainability through precision and automation.”

With over five decades of innovation in process analysis, Modcon Systems has supplied thousands of analyzers and optimization solutions across refineries, petrochemical complexes, and energy facilities worldwide. The new platform extends this legacy by adding an intelligent layer that connects measurement, predictions and control—representing a major step toward autonomous industrial operation.

By embedding AI into analyzer networks, Modcon positions itself at the forefront of Industry 4.0 and the emerging “Industrial Internet of Intelligence” (IIoI)—a paradigm where analyzers, controllers, and digital twins operate as a unified ecosystem. The company envisions this technology driving long-term improvements in safety, efficiency, and profitability for industrial producers globally.

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Ascend.io and MotherDuck Team Up to Deliver Intelligent Automation & Faster, Cost-Effective Data Pipelines

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Ascend.io and MotherDuck Team Up to Deliver Intelligent Automation & Faster, Cost-Effective Data Pipelines

Ascend brings agentic data engineering to the DuckDB ecosystem, automating pipelines on MotherDuck’s serverless platform

Ascend, the agentic data engineering platform, announced support for MotherDuck, enabling teams to build and manage fully automated data pipelines on DuckDB’s serverless analytics platform. The integration addresses a growing disconnect in modern data stacks: while teams have rapidly adopted lightweight, efficient warehouses like MotherDuck, they’re still building pipelines with the same heavy, manual tools designed for the previous generation of data infrastructure.

Modern Warehouses Deserve Modern Pipeline Automation

Organizations are increasingly choosing DuckDB and MotherDuck for their exceptional performance, cost efficiency, and operational simplicity. But the pipeline tooling ecosystem hasn’t kept pace. Teams that have modernized their data warehouse are still stuck writing brittle Python scripts, managing complex DAG orchestrators, and manually handling schema changes, data quality issues, and query optimization—the same operational burden that plagued traditional data platforms.

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Together, we’ll help customers build data pipelines faster and execute them cost-efficiently.”

— Jordan Tigani, MotherDuck Co-Founder and CEO

The result is a mismatch: teams adopt MotherDuck to move faster and reduce overhead, but their pipeline infrastructure slows them back down. They’ve eliminated database management complexity only to remain buried in pipeline maintenance.

“The data warehouse landscape has fundamentally changed—teams want speed, simplicity, and cost efficiency, which is exactly what MotherDuck delivers,” said Sean Knapp, CEO of Ascend. “But pipeline tooling is still rooted in the heavy orchestration paradigm of the past. This integration brings automation that matches MotherDuck’s philosophy: fast, intelligent, and low-overhead. Together, we’re delivering what modern data teams actually need—a complete platform where nothing requires manual babysitting.”

How It Works: Intelligent Automation Meets Serverless Analytics

With the new integration, teams can designate MotherDuck as their data plane within Ascend. In Ascend’s architecture, the data plane is where all compute, storage, and query processing happens—it’s the engine that actually runs the data workloads. By connecting MotherDuck as the data plane, organizations leverage DuckDB’s columnar engine and MotherDuck’s serverless infrastructure for all data processing, while Ascend’s Intelligence Core handles pipeline orchestration, dependency management, and optimization.

This architecture delivers a complete automated platform:

Agentic Data Engineering: Teams can build, manage, and monitor their pipelines with intelligent, context-aware agents. Otto, Ascend’s intelligent data engineering agent, writes and edits pipeline code, continuously monitors pipeline health, and takes automated actions like incident triage and alerting. Instead of data engineers responding to every schema change or pipeline failure, Otto handles routine operations automatically—taking manual work off teams and letting them focus on higher-value activities.

DataOps Best Practices Built In: Ascend comes with enterprise DataOps capabilities out of the box: version control, automated testing, CI/CD workflows, full data lineage, observability, and environment management (dev/staging/prod). Teams running pipelines on MotherDuck get production-grade operational maturity without building custom infrastructure.

Intelligent Optimization: Ascend’s Smart Components eliminate unnecessary processing through intelligent incremental execution. The platform creates SHA-based fingerprints of data partitions and links them to pipeline code, reprocessing only when the code or data actually changes. This means teams get even more efficient pipeline runs.

Native MotherDuck Integration: By designating MotherDuck as the data plane, all compute and storage happens in MotherDuck’s serverless environment. Teams get DuckDB’s performance and MotherDuck’s operational simplicity for query processing, while Ascend’s Intelligence Core handles pipeline orchestration, optimization, and automation

The result is a complete data platform where both infrastructure and pipelines are fully automated—matching MotherDuck’s serverless simplicity with pipeline automation that works the same way.

Delivering Compound Value

Together, teams get a complete modern data platform:

1. Faster Deployment: New data sources can be onboarded and integrated in minutes rather than weeks.
2. Lower Total Cost: MotherDuck’s efficient serverless model combined with Ascend’s automation means both infrastructure and engineering costs drop dramatically.
3. Production-Grade Reliability: Otto’s continuous monitoring ensures issues get caught and resolved automatically. Teams get DuckDB’s simplicity with enterprise operational oversight.
4. Time Back for Value Creation: With both infrastructure and pipelines automated, data teams focus on analysis and business impact rather than operational maintenance.

“MotherDuck delivers fast, efficient analytics for internal and customer-facing use cases.” Jordan Tigani, MotherDuck’s Co-Founder and CEO shared. “We’re excited to welcome Ascend.io’s Agentic Data Engineering platform to our ecosystem flock. Together, we’ll help customers build data pipelines faster and execute them cost-efficiently.”

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Rimes Partners with Databricks to Deliver Managed Data Services

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Rimes Partners with Databricks to Deliver Managed Data Services

Partnership expands access to Rimes’ governed investment data through Databricks’ Delta Sharing protocol, accelerating AI-ready data delivery for financial institutions

Rimes, a leading provider of enterprise data management and investment intelligence solutions to the global investment community, announced a partnership with Databricks, the Data and AI company, to make Rimes Managed Data Services available natively on the Databricks Data Intelligence Platform. The partnership leverages Delta Sharing, the open-source protocol for secure data exchange, enabling financial institutions to access and integrate Rimes’ trusted, governed data directly within their Databricks environments.

Through this partnership, Rimes customers will be able to connect to their structured datasets without replication, reducing latency and accelerating access to high-quality, AI-ready data. The combination of Rimes’ deep domain expertise in investment data and Databricks’ open, unified platform and flagship AI products, such as Agent Bricks, will improve financial institutions’ ability to optimize analytics, automate workflows, and drive new levels of data intelligence with operational efficiency.

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“Rimes has built a reputation for delivering the highest quality managed data and data governance capabilities,” said Vijay Mayadas, President and Chief Executive Officer at Rimes. “Through our exciting partnership with Databricks, we’re extending that capability to enable clients to accelerate their time to insight and unlock the full potential of their investment data.”

“Enterprises are looking for ways to scale high-quality, trusted AI apps and agents on their own data,” said Dael Williamson, Field CTO, EMEA, Databricks. “By making Rimes’ Managed Data Services available via Delta Sharing, financial institutions can now access clean, curated, and timely investment data directly within their Databricks workspaces, simplifying collaboration and powering their analytics and AI workloads.”

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Since the Five Arrows investment in 2024, this partnership represents the first phase in Rimes’ broader strategy to enable seamless, interoperable data experiences across the financial ecosystem. In the future, Rimes will expand availability to additional datasets and explore enhanced AI and analytics use cases – delivering a unified data layer that connects trusted, explainable data to the next generation of intelligent workflows.

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Aria Systems Announces Expanded Partnership with ServiceNow

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Aria and ServiceNow extend collaboration to streamline how enterprises acquire their end-to-end order-to-cash solution, enabling faster and simpler adoption across industries

Aria Systems, the leader in AI-powered billing automation, announces an expanded partnership with ServiceNow designed to simplify how enterprises adopt and implement modern, end-to-end order-to-cash solutions.

Built on the ServiceNow Customer Relationship Management (CRM) product, the enhanced partnership enables ServiceNow CRM and Aria Billing Cloud to be sold as a pre-integrated solution that enterprises can access via a single, streamlined procurement path that offers flexible contracting models. The joint solution helps enterprises accelerate transformation by connecting customer engagement, billing, and service management into a single, AI-powered revenue management experience that drives faster growth and stronger loyalty.

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“Our customers want a complete order-to-cash platform that accelerates customer evaluations,” said Steve Zirkel, SVP, Global CRM at ServiceNow. “Modern billing automation is mission-critical with CRM, so expanding our partnership with Aria Systems was the natural next step given our trusted partnership and successes to date.”

Following years of collaboration as a registered ServiceNow Build Partner, Aria was named a certified billing solution provider. The companies’ joint successes include multiple customer wins across telecommunications, technology, media, and manufacturing, the most recent being Unsere Grüne Glasfaser (UGG), a joint venture of Telefonica and Allianz.

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In 2024, Aria launched Aria Billing Studio for ServiceNow, an AI-enabled integration that allows ServiceNow customers to manage the full revenue lifecycle — from order to cash to customer care — directly within ServiceNow, powered by Aria Billing Cloud. In 2025, ServiceNow developed and launched key AI agents as part of its Zurich release, leveraging the Aria integration to streamline agentic billing information and action.

“We’re delighted to take our partnership with ServiceNow to the next level,” said Tom Dibble, President & CEO of Aria Systems. “We’ve seen growing demand for the ServiceNow CRM product suite combined with Aria Billing Cloud. By aligning go-to-market models and simplifying how enterprises can experience, contract and implement our joint solution, we’re helping customers realize value faster.”

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DitchCarbon Launches on AWS Marketplace, Bringing Instant, Audit-Ready Emissions Data to Enterprise Supply Chains

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DitchCarbon logo

DitchCarbon is now on AWS Marketplace, giving enterprises audit-ready supplier emissions data and integrations to accelerate supply-chain decarbonization.

DitchCarbon, a climate data platform helping enterprises decarbonize their supply chains, announced that its solution is now available directly on the AWS Marketplace. The listing enables organizations to purchase and deploy DitchCarbon using their existing AWS account and billing, accelerating access to high-quality supplier emissions data without lengthy vendor approvals. With DitchCarbon on AWS, enterprises can seamlessly integrate supplier emissions data into their existing technology stack, unlocking faster, more accurate decarbonization across complex value chains.

Instant, Audit-Ready Supplier Emissions Data
DitchCarbon provides instant access to supplier emissions data, from company-level profiles to detailed life cycle assessments (LCAs), without the need for supplier surveys. This allows procurement, sustainability, and finance teams to:
-Replace manual data collection with automated, API-driven data feeds
-Access audit-ready emissions metrics aligned to recognized methodologies
-Compare suppliers using consistent benchmarks and emissions intensity data
“Enterprises are under huge pressure to decarbonize, but collecting emissions data from thousands of suppliers is slow and expensive,” said Marc Munier, CEO at DitchCarbon. “By going live on AWS Marketplace, we’re giving customers a faster route to high-quality emissions data and a way to embed it directly into the systems they already use.”

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Automated Supplier Engagement for SBTi and Supply Chain Targets
DitchCarbon also supports companies working toward Science Based Targets initiative (SBTi) and broader supply chain decarbonization commitments by automating supplier engagement. Organizations can:
– Run scaled outreach campaigns to suppliers directly from the platform
– Track which suppliers have set, validated, or committed to SBTi-aligned targets
– Monitor adoption rates and measure progress over time across the full supply base
This automation helps teams move beyond one-off questionnaires and spreadsheets to a structured, trackable program for supplier climate action.

Enterprise-Ready on AWS: API-First and Built for Integration
Built with an API-first architecture, DitchCarbon is designed to plug into the systems enterprises already rely on. Through the AWS Marketplace listing, customers can integrate DitchCarbon with:
– ERP systems — to enrich vendor and spend data with emissions metrics
– P2P and procurement platforms — to embed emissions into sourcing and supplier selection
– BI and analytics tools — to visualize emissions performance, benchmarks, and supplier progress

The platform includes benchmarks, dashboards, and audit-ready evidence, enabling robust internal reporting as well as external disclosures to regulators, customers, and investors. “With DitchCarbon on AWS, customers can integrate emissions data with the same trust and security standards they expect from AWS itself,” Alex Rudnicki, COO at DitchCarbon. “It’s now dramatically easier to move from climate commitments to measurable action in the supply chain.”

Faster Procurement Through AWS Marketplace
By purchasing DitchCarbon via AWS Marketplace, customers can:
– Use their existing AWS billing and commercial terms
– Shorten procurement and vendor onboarding cycles
– Simplify contracting and internal approvals
– Deploy DitchCarbon in a secure environment aligned to their existing AWS governance
This enables sustainability, procurement, and data teams to get started quickly while staying aligned with enterprise IT, security, and compliance requirements.

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

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CGI Partners With Government Organizations Across Florida to Drive Modernization With CGI Advantage®

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CGI, one of the largest independent technology and professional services firms in the world, announced significant project milestones at government organizations across Florida that have deployed CGI Advantage®, a unified ERP platform that delivers efficient financial operations, automates budget processes, streamlines human resource management, and simplifies vendor engagement.

“The adoption of CGI Advantage in Florida reflects our ongoing commitment to delivering innovative solutions that advance and support the critical missions of local government agencies,” said Tom van der Leest, Senior Vice-President, Consulting Services of CGI’s U.S. South operations. “In Florida and across the country, CGI Advantage clients continue to realize the benefits of a built-for-government solution backed by local, experienced teams that understand how technology serves the public sector.”

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Orange County, FL, recently launched a CGI Advantage upgrade that includes integrated Intelligent Automation, streamlining invoicing and automating requisitions. These process improvements ensure that Orange County remains at the forefront of efficiency and automation.

The Southwest Florida Water Management District recently underwent a comprehensive CGI Advantage upgrade that includes a major cloud migration for financial management and performance budgeting. As part of this initiative, CGI has collaborated with the District to develop CGI TestSavvy test automation, replacing manual testing processes and covering critical business areas. This initiative is complemented by CGI EngageHub, a digital platform for governments and non-profit agencies, to enhance user engagement and operational efficiency.

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Florida localities using CGI Advantage now benefit from highly configurable tools and an improved user experience. These capabilities will vastly reduce the hours staff engage in repetitive manual tasks – allowing more time for high-value initiatives enabled by greater transparency and insight into the overall financial processes.

“While our partners in Florida have a unique set of challenges, goals and requirements, they are united by the need to operate efficiently, transparently, and as responsible stewards of public resources,” said Surabhi Subramanyam, Senior Vice-President, Consulting Delivery, U.S. Government Solutions at CGI. “CGI Advantage is empowering these mission-critical organizations with the tools and capabilities their leaders need to effectively and securely serve their communities in mobile, digital, and cloud-based environments.”

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Mitel Introduces Mitel CX 2.0 to Drive More Connected Customer Experiences with Enterprise-grade AI

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Salesforce Completes Acquisition of Informatica

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Salesforce , the world’s #1 AI CRM, announced it has completed its acquisition of Informatica, a leader in enterprise AI-powered cloud data management. The close of the acquisition brings Informatica’s rich data catalog, integration, governance, quality and privacy, metadata management, and Master Data Management (MDM) services to the Salesforce platform, establishing a unified and comprehensive data foundation for agentic AI — and enabling AI agents to operate safely, responsibly, and at scale across the modern enterprise.

“You have to get your data right to get your AI right,” said Marc Benioff, Chair and CEO of Salesforce. “Data and context is the true fuel of Agentforce, and without clean, connected, trusted data there is no intelligence – only hallucination. Informatica is the trusted platform that turns fragmented enterprise data into context, so every agent can reason, act, and deliver outcomes with precision. When companies get their data right, they get their AI right, and Agentforce becomes unstoppable.”

“With Informatica, we will deliver a governed and complete data platform that powers more intelligent, contextual, and autonomous experiences across Agentforce 360 – the trusted system connecting humans and AI agents in the enterprise,” said Steve Fisher, President and Chief Product Officer, Salesforce.

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Strengthening the Entire Agentforce 360

The acquisition significantly enhances Salesforce’s platform by:

  • Achieving Data Clarity with Data 360: Informatica will strengthen Data 360, ensuring data from across organizations is not only unified, but clear, trusted, and actionable.
  • Delivering Complete Integration with MuleSoft: MuleSoft, a leader in application integration and API management, combined with Informatica’s advanced data integration and governance capabilities will create a comprehensive, end-to-end integration offering that empowers customers to unlock all enterprise data and systems for the AI era.
  • Elevating Agentforce 360 Platform: Informatica and Salesforce together will provide a critical data foundation for autonomous AI agents to interpret and act on trusted data.
  • Context-Rich Insights for Tableau: Tableau users will benefit from richer, context-driven insights thanks to a more accessible and better-understood data landscape.

Additionally, the acquisition will build on Salesforce’s unique metadata advantage — the objects, fields, and relationships that define the Salesforce ecosystem, which has helped Agentforce deliver accurate, context-aware AI responses. Informatica provides an even richer, enterprise-wide view of metadata, pulling in context and lineage across every system, not just Salesforce. This wider, unified metadata foundation will deliver even more accurate, explainable, and trusted AI responses — helping customers scale AI with confidence across every corner of their business.

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Informatica to Scale and Continue Its Mission as a Trusted Leader in Data Management as Part of Salesforce

As part of Salesforce, Informatica will continue its mission to help organizations connect, manage, and unify their AI-ready data. Informatica will also continue to support and integrate its AI-powered data management solution with its broad ecosystem of partners. Salesforce will rapidly integrate Informatica’s technology stack — including data integration, quality, governance, and unified metadata for Agentforce, and a single data pipeline with MDM on Data 360 — seamlessly embedding this system of understanding and its benefits into the Salesforce ecosystem.

“Joining forces with Salesforce enables us to drastically accelerate our mission as the ‘Switzerland’ of AI-powered data management to help organizations unlock the full value of their data and AI,” said Amit Walia, CEO of Informatica. “By integrating Informatica’s data management capabilities and ecosystem integrations directly into the Agentforce 360 platform, businesses around the world can drive innovation, efficiency and growth by leveraging a single vendor that unites applications, trusted data and AI agents.”

Financial Implications and Third Quarter Fiscal 2026 Results Conference Call

As detailed during its Investor Day at Dreamforce, Salesforce expects to achieve accretion on a non-GAAP operating margin and non-GAAP earnings per share basis within 12 months – a full year sooner than originally committed at deal announcement, and aligned to the company’s responsible M&A framework.

The company will host its Third Quarter Fiscal 2026 Results Conference Call on December 3, 2025 after market close, during which management will discuss financial results as well as the transaction and its impact on fiscal 2026 financial guidance.

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Perception of Customer Experience at a New Low, Survey from Broadridge Reveals

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Perception of Customer Experience at a New Low, Survey from Broadridge Reveals

More than half of North Americans have lost trust in a company that delivers a poor experience or unclear communication

As companies across sectors race to stimulate consumer loyalty and provide differentiation, customer communications and digital experiences are under-appreciated levers in unlocking customer satisfaction, according to the seventh annual CX and Communications Consumer Insights study by Broadridge Financial Solutions Inc. The study, which polled over four-thousand American and Canadian consumers, reveals a new, all-time-high for customer dissatisfaction: 71% of consumers – two times more than those in 2019 – agree that most companies need to improve their customer experience.

“Customer communications aren’t just touchpoints — they’re the heartbeat of the customer experience,” said Christoph Stehmann, president of Broadridge Customer Communications. “Today’s consumers are demanding clarity, simplicity, and seamless interactions across every channel. Companies that fail to deliver will lose trust and relevance. Those that prioritize clear, timely, and engaging communication will rise above competitors, earn lasting loyalty, and drive measurable business growth. In times of uncertainty, the brands that make life easier for their customers will always win.”

While the data shows how evolving customer dynamics are reinforcing the previously known gaps in expectations and reality, Broadridge’s report helps highlight what’s at risk if firms don’t prioritize addressing customer experience, insights on a persona-based approach to communications strategy, and consumer perspective on AI in communications.

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Overall, 59% of respondents have lost trust in a company that delivers a poor experience or unclear communication. The top three functions companies should prioritize to build trust and make a great experience include:

  • Honoring their preferred communication channels (39%)
  • Providing a simple way for them to engage across channels (38%)
  • Simplifying the way they do business with companies (33%)

Taking a Persona-based Approach to Communications Strategy

The study also identified two key customer personas that businesses should be considering when developing their CX strategy:

Engaged Explorers are proactive, curious consumers who actively seek out information and prefer to dig deeper before making decisions. Explorers demand more depth and context and are interested in more custom, personalized content. When it comes to communications, they also prefer emails to be interactive (84%) and simultaneously would like to see bills and statements exist in one place digitally (87%). This group believes companies aren’t delivering advanced, interactive experiences – with only 15% believing they receive a quality experience.

By contrast, Practical Optimizers are pragmatic consumers who value efficiency and reliability above all else. They prefer straightforward, easy-to-use digital tools and clear communication that helps them act quickly without unnecessary complexity. Nearly half of the group (44%) prioritizes clear and transparent communications as a critical component of their journey. This group has a better perception of the CX they receive, with 41% agreeing that companies deliver on experience.

“Businesses are always looking for how to better serve clients. By identifying persona archetypes that cross over between standard demographics such as income and education, we can illuminate what matters most,” said Matt Swain, head of communications insights and experience at Broadridge. “While Explorers and Optimizers have distinct priorities and tech adoption preferences, the research shows that companies can serve both personas well if they’re prioritizing delivering simple, intuitive, omni-channel communications experiences.”

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AI Adoption Grows, but Consumer Expectations are Rising

While AI is still top-of-mind for many firms, for the second year in a row, respondents have not had a favorable opinion of the technology in practice. Only one-third (37%) say it has improved their overall experience, just slightly up from 33% last year.

Data shows a stark difference in perception between the two persona groups:

  • Explorers are more open to AI innovation, with 70% saying AI has improved their experience.
  • Only 33% of Optimizers, who expect clear benefits and the reassurance of human support, think AI has improved their customer experience.

That said, when it comes to providing data that powers these AI tools, consumers are increasingly comfortable sharing their data with companies to improve their digital experiences, as 62% of consumers are more likely to engage digitally with companies who’ve set up advanced security measures, and 52% are more likely to share personal data if it results in a better experience.

The message from customers is unmistakable: Communications are coming up short. As companies strive for clarity, connection, and trust, they cannot overlook efficiency, cost savings, and scale – and to uncover these friction points, they need to respond directly to the issues customers are being loud and clear about.

Paper Isn’t dead — It’s Evolving, Redefining Engagement

Even with digital advances, 55% of consumers still receive paper. That said, nearly half would switch if digital options were more intuitive and secure. The takeaway: “go paperless” works best as an invitation, not a mandate. When customers have choice and control, adoption follows, the average paperless uptake is 45%, with adoption by industry ranging from 32% to 61%.

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Titan OS and MiQ Partner to Bring Unmatched OS-Level TV Intelligence to European Advertisers

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Titan OS and MiQ Partner to Bring Unmatched OS-Level TV Intelligence to European Advertisers

Titan Operating System S.L. (Titan OS), the independent European Connected TV operating system, announced a new strategic partnership with MiQ, the global programmatic media partner. Through this collaboration, MiQ becomes the only managed service provider with access to Titan OS’ operating system-level intelligence, significantly expanding its European TV data footprint to more than 20 million connected TVs.

This partnership marks a major step forward in making high-quality, OS-level CTV data accessible to advertisers. Titan OS intelligence captures viewing and behavioural signals from the moment a TV session starts until it ends – giving brands deeper insights across fragmented CTV environments and improving their ability to plan, activate, and measure incremental reach.

By combining Titan OS’ unique data and home screen video inventory with MiQ’s programmatic capabilities, advertisers can extend reach across premium surfaces – including audiences unreachable on ad-free platforms – and achieve a unified understanding of TV consumption across linear and streaming.

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Integration into MiQ’s Sigma platform
In Q1 2026, Titan OS-level intelligence will be integrated into MiQ’s AI-powered programmatic platform, Sigma. Sigma processes more than 700 trillion consumer signals across viewing, browsing, and purchasing behaviours, providing more accurate forecasting, measurement, and optimisation for media buyers.

“For years, marketers have said TV is too fragmented and they need better connectivity between digital and TV to drive measurable results. This partnership delivers exactly that,” said Alfie Atkinson, CEO, MiQ UK. “By bringing Titan’s OS-level intelligence from millions of European households into our Sigma platform, we give advertisers a single, connected view of what people are watching and the ability to act on it. This boosts our cross-channel insights, strengthens our agnostic data strategy, and connects the fragmented world of TV.”

“At Titan OS, our mission is to make TV data more accessible and actionable for advertisers. By partnering with MiQ, we can bring the accuracy and depth of OS-level intelligence into the heart of TV strategy,” said Rees Martin Hughes, VP of Data at Titan OS. “This allows brands to quantify incremental reach versus traditional TV consumption, uniquely, and to apply frequency capping across both linear and streaming environments, something only a TV operating system can truly report on. Together, we’re helping advertisers drive smarter outcomes and make every TV impression count.”

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Universal Ads Study Reveals Combination of Streaming TV and Social Media Ads Supercharges Growth for Emerging Brands

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Brands new to streaming advertising see up to 2.8 times higher brand recall and a 24% lift in purchase intent when pairing streaming TV ads with social media ads.

Universal Ads, which enables brands of any size to create, buy, and measure ads across premium video, announced results of a study examining how exposure to advertising across streaming TV and social media positively impacts recall, perception and purchase intent. The results show that when combining streaming TV and social media ads, emerging brands see up to 2.8 times higher brand recall and a 24% lift in purchase intent compared to social-only strategies.

Now with Universal Ads, streaming TV is much more easily accessible and affordable for any brand and has proven to be powerful tool that captures more market share and helps brands rapidly grow.

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“The study results are clear: the combined impact of streaming TV and social media ads on emerging brands – companies that are new to streaming ads or do not have a strong brand identity – is significant, increasing attention while building memory and intent,” said James Borow, Vice President of Product and Engineering at Universal Ads. “Now with Universal Ads, streaming TV is much more easily accessible and affordable for any brand and has proven to be powerful tool that captures more market share and helps brands rapidly grow.”

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Key findings of the study revealed that streaming TV:

  • Increases Purchase Intent: Adding streaming TV exposure to social media increased purchase intent by 24%.
    • Two streaming TV ads provided a 33% lift in purchase intent for emerging brands as compared to one social ad.
  • Boosts Brand Recall: Viewing an ad on both streaming TV and social media, unaided brand recall was 2.8 times higher than those exposed to social media ads only. In addition, pairing streaming TV ads with social video ads resulted in 5 times higher unaided brand recall.
  • Improves Brand Perception – Emerging brands benefited from a 2.3 times higher lift in brand perception than well-known brands.

Conducted with MediaScience, the study examined more than 430 participants via in-lab and in-home environments. Participants were shown an even mix of 30-second ads from well-known and emerging brands in both social media and streaming TV environments. Then their viewing interactions were measured using biometric data such as eye tracking and a post-exposure survey.

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Northland & Companies and Revcord Launch Logger-Agnostic AI Program for Public Safety and Enterprise Logging

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Northland & Companies and Revcord have launched a logger-agnostic program offering complimentary access to RevSync+ and ReVI. Agencies can explore AI-powered transcription, quality assurance, and analytics using their own recorded data, regardless of their existing logging system or hardware.

Northland & Companies, a trusted provider of mission-critical recording solutions for more than 43 years, announced an exclusive partnership expansion with Revcord, a leader in AI-powered voice and data logging platforms.

As part of this initiative, Northland is offering all customers, regardless of their current logging platform, 90 days of complimentary access to Revcord’s RevSync+ and ReVI AI logging, analytics, and quality assurance (QA) solution. This logger-agnostic program enables agencies to experience next-generation automation and intelligence using their own locally recorded data, without needing to replace or modify existing hardware.

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“AI is transforming how PSAPs and other agencies manage and understand communications,” said Dereck Leyde, President and CEO of Northland & Companies. “This expanded partnership with Revcord gives organizations a no-cost opportunity to experience the future of logging analytics. These tools work across any platform and deliver automation, insight, and compliance from day one.”

Northland’s CJIS-certified engineering team will manage setup, secure processing, and delivery of results, ensuring a seamless experience. All analytics are performed on customer-owned recordings, giving agencies full control of their data, no matter what logger they use.

Agencies that participate in this program will gain access to:

  • Automated transcription of calls and redaction of sensitive data
  • AI-driven search capabilities based on keyword, dispatcher, or sentiment
  • AI-generated summaries of calls for faster incident review
  • Automated QA evaluations aligned with NENA/APCO standards
  • Intelligent multi-speaker identification and sentiment analysis
  • Secure, CJIS- and HIPAA-compliant processing
  • Comprehensive dashboards and reporting

“Northland & Companies is the kind of partner every technology company hopes to find, forward-thinking, deeply technical, and relentlessly focused on customer success,” said Charles “Trey” Schwarz, President and CEO of Revcord. “That’s exactly why we chose to expand our alliance. Through this logger-agnostic program, every Northland customer can experience what RevSync+ and ReVI deliver: complete visibility, compliance assurance, and operational intelligence from their own locally recorded data.”

To facilitate logger-agnostic access, RevSync+, Revcord’s synchronization solution, bridges legacy loggers with modern cloud-based AI tools. RevSync+ enables secure two-way data sync, cloud storage, and full compatibility with third-party logging systems. This allows agencies to retain their existing infrastructure while unlocking the full power of ReVI’s AI-driven features.

Revcord’s ReVI is designed for mission-critical environments like public safety, healthcare, utilities, and enterprise operations. It combines AI automation, transcription, advanced analytics, and secure cloud access to improve call-handling accuracy, reduce manual review time, enhance audit readiness, support training with data-driven feedback, and deliver actionable insights from recorded communications.

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ActiveCampaign Launches the First Autonomous Marketing Connector for Anthropic’s Claude

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Built on ActiveCampaign’s MCP server, the new integration lets marketers securely access, analyze, and take action on marketing data across campaigns and automations directly in Claude

ActiveCampaign, a leading autonomous marketing platform, announced the launch of the first autonomous marketing connector for Anthropic’s Claude, now available in Claude’s Connector Directory. Through this integration, Claude users can now directly access ActiveCampaign’s marketing capabilities – retrieving performance data, creating campaigns, updating CRM, or triggering automations through natural language.

Because the connector is built on ActiveCampaign’s MCP server, the integration enables Claude users to perform their ActiveCampaign tasks directly within their AI workspace. For marketers who work in Claude, this means they can analyze, uncover insights, and take action in ActiveCampaign without switching platforms.

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“This integration redefines how marketers get work done,” said Jason VandeBoom, founder and CEO of ActiveCampaign. “By making ActiveCampaign’s billions of marketing data points available in Claude, we’re meeting users where they work. Marketers can now bring the full power of ActiveCampaign into their daily AI workflow, moving seamlessly from insight to action.”

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Key capabilities include:

  • Conversational access to marketing insights: ActiveCampaign data and automations are now accessible directly from Claude. Marketers can use natural language to retrieve campaign results, contact details, or automation performance. For example, say, “How did my campaigns perform last week?” and Claude surfaces that data and has the context it needs to provide better business insights.
  • Streamlined workflows: Everything marketers already do in ActiveCampaign, like triggering automations or brainstorming campaign ideas, can now be done directly in Claude. For instance, say “Start the ‘Post meeting thank you and follow-up’ automation for my contact Emma Murrey,” and Claude executes the action instantly – giving marketers the ability to execute quickly without leaving their AI workspace.
  • AI-driven recommendations: Marketers can now combine ActiveCampaign’s marketing intelligence with Claude’s analytical capabilities to act faster. For example, ask Claude to analyze recent campaigns, and it might respond: “Your open rates increased 15% among first-time buyers. Consider a follow-up campaign to deepen engagement.” This turns raw data into actionable strategy in real-time.

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ScaleOut Software Enhances Active Caching With Generative AI

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ScaleOut Software Enhances Active Caching With Generative AI

Gen AI powers real-time analytics for distributed caching, enabling organizations to spot trends and respond in real time.

ScaleOut Software introduces key enhancements to its ScaleOut Active Caching™ technology that powers the next generation of its industry-leading distributed caching and in-memory data grid software. This latest update, the Gen AI Release of the ScaleOut Product Suite™, adds new generative AI features that automate the creation of real-time analytics. Powered by the industry’s leading large language model, users can now easily create visualizations of live data stored in the distributed cache to quickly identify emerging trends and enable immediate responses.

The addition of Gen AI builds on ScaleOut Active Caching’s next-generation technology for running application code directly within ScaleOut’s distributed cache. Gen AI enables non-technical users to use natural-language prompts for creating charts, queries, and geospatial visualizations that track changes to fast-changing data stored in the distributed cache. For example, an ecommerce retailer can create visualizations that track customer reactions to a flash sale and then optimize the sale’s performance to maximize revenues. The ability to operationalize real-time information gives organizations a competitive edge across numerous industries, from e-commerce and financial services to transportation, logistics, gaming, security, and beyond.

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“With the addition of Gen AI to ScaleOut Active Caching, we’re delivering powerful new capabilities for extracting insights from fast-changing data,” said Dr. William Bain, CEO and founder of ScaleOut Software. “A company like Amazon typically processes millions of orders a day, but organizations of all sizes face the same need to respond quickly as conditions change. That’s where the unique combination of active caching with Gen AI-powered analytics enables customers to strengthen their operational intelligence, increase efficiency, and respond to changing conditions in real time.”

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This update brings Gen AI directly into ScaleOut Active Caching’s management UI for dynamically deploying modules, monitoring performance, and visualizing cached-data. OpenAI’s large language model converts natural-language prompts into precise chart and query specifications that extract and combine data from JSON-encoded objects stored in the distributed cache. Gen AI brings real-time visualization to nontechnical users.

This release also debuts a next-generation object browser for viewing cached objects, featuring new search and filtering capabilities and an updated interface designed for better usability. It also introduces support for connecting ScaleOut’s distributed cache to Amazon’s Simple Queuing Service (SQS), enabling ScaleOut Active Caching to process messages from SQS.

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