Artificial Intelligence News for the Week of October 31; Updates from Anomalo, Confluent, Informatica & More
Solutions Review Executive Editor Tim King curated this list of notable artificial intelligence news for the week of October 31, 2025.
Keeping tabs on all the most relevant artificial intelligence news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last week in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy artificial intelligence news items.
For early access to all the expert insights published on Solutions Review, join Insight Jam, a community dedicated to enabling the human conversation on AI.
Artificial Intelligence News for the Week of October 31, 2025
Actian Launches MCP Server to Bring Governed, High-Quality Enterprise Data Into AI Assistants
Actian released its MCP server for serving governed, high-quality enterprise data directly into AI assistants and agentic workflows, enhancing trust, compliance, and automation in decision-making processes.
Anomalo Expands Platform With AIDA, Its Intelligent Data Analyst for Enterprise
Anomalo’s new AIDA module enhances its data platform with intelligent analytic capabilities, combining anomaly detection and context-driven diagnostics to deliver actionable insights for enterprise data teams.
Read more → https://siliconangle.com/2025/10/29/anomalo-expands-platform-aida-intelligent-data-analyst-enterprise/
Confluent Launches Confluent Intelligence to Solve the AI Context Gap
Confluent introduced Confluent Intelligence, a fully managed platform delivering context-rich, real-time AI for enterprises. Built atop Confluent Cloud, it streams and processes both historic and real-time data to provide adaptive, trustworthy context for enterprise AI and agentic systems. Deep integration with Anthropic’s Claude powers streaming AI agents, driving secure and scalable event-driven applications from pilot to production.
Read more → https://www.confluent.io/press-release/confluent-intelligence/
New Survey From Collibra and Harris Poll Shows 86 Percent of Tech Leaders Are Confident Agentic AI Will Drive ROI
A Harris Poll survey commissioned by Collibra found that 86 percent of tech decision-makers believe agentic AI will provide significant ROI, but emphasize the need for robust data governance and trust frameworks as adoption accelerates.
Read more → https://www.collibra.com/company/newsroom/press-releases/new-survey-from-collibra-harris-poll
Elastic Redefines Observability with AI-Powered Streams
Streams uses AI to automatically partition and parse raw logs to extract relevant fields, greatly reducing the effort required of Site Reliability Engineers (SREs) to make logs usable. Streams also automatically surfaces significant events such as critical errors and anomalies from context-rich logs, giving SREs early warnings and a clear understanding of their workloads, enabling them to investigate and resolve issues faster.
Read more → https://www.bigdatawire.com/this-just-in/elastic-redefines-observability-with-ai-powered-streams/
Ex-Googlers Create an Agentic Lakehouse for Databricks With Espresso AI
Former Google engineers have launched Espresso AI, a platform that transforms Databricks into an agentic lakehouse. By employing LLM-driven automation, the solution optimizes cloud data warehouse use and reduces costs by up to 50 percent, aiming to help organizations maximize value with minimal manual effort.
Read more → https://aithority.com/machine-learning/ex-googlers-create-an-agentic-lakehouse-for-databricks/
Redpanda Acquires Oxla, Launches Agentic Data Plane for Governing AI Agents
Redpanda acquired Oxla and introduced a new agentic data plane, combining distributed SQL and streaming data to provide robust governance, control, and intelligence for enterprise AI agents.
Teradata AI Services Deliver Production-Ready Agentic Use Cases
Teradata launched new AI services designed for practical, production-ready agentic use cases, supporting autonomous decision agents and scalable deployment across hybrid cloud environments.
Read more → https://www.teradata.com/press-releases/2025/teradata-ai-services-deliver-production-ready-agentic-use-cases
WEKA Announces New NeuralMesh Architecture Built for NVIDIA BlueField-4
WEKA revealed the next-generation NeuralMesh architecture designed for the NVIDIA BlueField-4 DPU, eliminating the need for traditional CPUs and unifying compute, network, and storage for gigascale AI operations. The result is enhanced performance, power efficiency, zero-trust security, and simplified infrastructure for enterprise AI workloads.
Expert Insights
Watch this space each week as our editors will share upcoming events, new thought leadership, and the best resources from Insight Jam, Solutions Review’s enterprise tech community where the human conversation around AI is happening. The goal? To help you gain a forward-thinking analysis and remain on-trend through expert advice, best practices, predictions, and vendor-neutral software evaluation tools.
Solutions Review is Getting Set to Host Informatica for ‘Build, Test & Deploy Production-Ready Enterprise AI Agents in Minutes’ on November 6
While AI agents boost innovation and business value, they bring challenges like ensuring data quality, managing complex integrations and maintaining governance at scale. The Informatica AI Agent Engineering platform makes building, testing and deploying AI agents simple by combining no-code development with enterprise-grade data management capabilities.
Insight Jam is Getting Set to Host Datalere for the Jam Session ‘Evaluating the Business Value of Agentic AI’ on November 7
Agentic AI holds unbounded promise to automate business processes and turbocharge corporate productivity. Imagine dozens, hundreds, or even thousands of independent AI agents working collectively to solve business problems, respond to customer inquiries, and automate previous manual processes. A new ecosystem of tools, services, and applications is arising to deliver on the promise of agentic AI.
Solutions Review is Getting Set to Host Infragistics for ‘From Dashboards to Decisions: Secure, Customer-Controlled AI Analytics’ on November 11
In this session, the Reveal product leadership team will showcase how Reveal AI empowers developers and product teams to embed conversational and programmatic intelligence directly into their applications. Attendees will see how the Conversational AI UI lets business users ask questions in natural language, while the Data Insights API and Dashboard Generation API automate insight discovery and dashboard creation—all without exposing raw data outside your environment.
Solutions Review is Getting Set to Host Qrvey for ‘How SaaS Companies Win with Self-Service Analytics and AI’ on November 13
Join Qrvey for an expert-led session exploring how software-as-a-service (SaaS) providers can unlock new growth, retention, and monetization opportunities through embedded self-service analytics and AI. In this event, attendees will learn how to transform their data into a true competitive advantage by empowering customers with intuitive, on-demand insights and AI-driven automation directly within their applications.
Solutions Review is Getting Set to Host Informatica for ‘Enterprise AI Agents in Minutes: Fast-Track Agent Development & Deployment’ on November 20
Artificial intelligence (AI) agents can drive speed, intelligence and automation across your business. But moving from isolated pilots to production-grade systems requires a framework for secure, scalable communication. Without standards like Model Context Protocol (MCP), orchestration across agents and platforms can become unmanageable. This live webinar brings together Google Cloud and Informatica experts to share best practices for creating, managing and scaling multi-agent AI workflows.
Editorial: Peer Advisory Group Benefits & the Future of Education in the Age of AI
Artificial Intelligence is changing the nature of learning faster than most institutions can adapt. We’re entering a world where AI can teach, test, summarize, and simulate — often faster and more accurately than human educators. But what AI cannot replicate is context, judgment, and shared human growth. That’s where expert-led, peer advisory groups emerge not as a supplement to education, but as its successor framework — a human-centered model for continuous learning in an algorithmic age.
SR Thought Leaders: Oracle AI Data Platform and the Power of Incumbency by Kevin Petrie
Oracle’s new AI Data Platform, unveiled at Oracle AI World, quickens the pace of cloud adoption and artificial intelligence (AI) innovation. Perhaps more importantly, it builds on Oracle’s heritage as an incumbent provider of on-premises systems. Cloud competitors AWS, Google, Databricks, and Snowflake lack this heritage business. Among the gorillas, only Microsoft has a similar legacy.
SR Thought Leaders: Cloudera – From Acquisitions to AI Strategy by John Santaferraro
Extracting value from AI is no longer just a good idea; it has become a board mandate. Budgets have been set, investments have been made, and now it is time to execute. With this in mind, Cloudera has been quietly chipping away at its quest to become a leading data and AI vendor. Through a series of strategic acquisitions—Verta, Octopai, and Taikun—they are putting the right pieces in place to deliver on a cohesive vision to become an end-to-end data and AI platform provider for everyone from startups to enterprises.
Insight Jam Session: Cultural Changes That Empower Workers as AI Reshapes Everything
In this provocative discussion, our panel of business leaders tackle the most urgent workforce transformation questions of our time. From a Norwegian bank that saved 230,000 hours by making AI adoption mandatory for promotions, to the startling reality that college students today are doing what used to be entry-level corporate work, these experts reveal why organizations will be 20% smaller by 2036, how the “grunt work” has moved into universities, and why adaptability, systems thinking, and emotional resilience matter more than technical skills.
Insight Jam Session: How Autonomous AI Systems Really Function
Our AI governance experts expose the uncomfortable truth: machines don’t bear moral or legal responsibility. Humans do. From the MIT study revealing a 95% Gen AI failure rate to the NIST framework for responsible AI, these leaders reveal why accountability can’t vanish in the gaps between human and machine decisions. Discover why technology implementations fail 70% of the time (hint: it’s not the technology), how experts should review model inputs rather than just override predictions, what Q-learning and guardrails mean for autonomous systems like self-driving cars, and why the head-heart-hands framework matters more than technical specifications.
For consideration in future artificial intelligence news roundups, send your announcements to the editor: tking@solutionsreview.com.
Tim King
Executive Editor
Tim is Solutions Review's Executive Editor and leads coverage on data management and analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 "Who's Who" in Data Management, Tim is a recognized industry thought leader and changemaker. Story? Reach him via email at tking@solutionsreview dot com.
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