AI News for the Week of September 4; Updates from Broadcom, Teradata, Wonderful & More

Solutions Review Executive Editor Tim King curated this list of notable artificial intelligence news for the week of September 4, 2026.

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.

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AI News for the Week of September 4, 2026

BARC Study Links Enterprise Context Engineering Maturity To AI Leadership

A BARC study sponsored by DataHub found that organizations with mature context-engineering practices are four times more likely to qualify as AI leaders: 49% of “context leaders” met that threshold, versus 12% of other respondents. The survey of 285 data, AI, IT, and business stakeholders identified data integration, orchestration, retrieval, federated metadata, prompt engineering, and semantic layers as core elements, while data quality and preparation remained the leading obstacle to reliable agentic AI.

Read on for more→ New BARC Study: Context Engineering Leaders Lead in AI

Boomi Launches Vendor-Neutral Agent Control Plane For Governed Enterprise AI

Boomi has introduced its Agent Control Plane, a platform layer designed to govern agents, tools, models, data access, and token spending across public cloud, customer VPC, and on-premises environments. The offering combines an AI Gateway for real-time enforcement, Boomi Connect for managed MCP tools, hybrid runtime support, grounded context and lineage, natural-language workflow composition, human approvals for high-risk actions, and emerging agent trust scoring—giving organizations a central control point for multi-vendor agentic AI.

Read on for more→ Boomi Delivers the Critical Infrastructure That Brings Control To Enterprise AI

Broadcom Combines Private AI, Agent Governance, And Traditional Workloads On VMware Cloud Foundation

Broadcom has introduced VMware Private AI Cloud, a VMware Cloud Foundation-based platform for operating AI inference, agentic applications, containers, and traditional enterprise workloads in the same private-cloud environment where data resides. The platform includes VMware AI Factory to automate infrastructure-to-model deployment, AgentMinder for agent discovery and governance, AI cost monitoring and model routing features, and support for more than 150 models—positioning private infrastructure as a controlled alternative for data-sensitive AI deployments.

Read on for more→ Broadcom Introduces VMware Private AI Cloud

Databricks Publishes Production Playbook For Operating And Governing AI Agents

Databricks has released The Big Book of AgentOps, a practical guide to moving AI agents from pilots into repeatable, production-ready systems. The book covers agent architectures, deployment patterns, a seven-phase delivery lifecycle, trace-based evaluation, observability, least-privilege governance, incident response, cost attribution, and stakeholder alignment—framing AgentOps as the operational discipline that extends MLOps and LLMOps to systems that use tools, retrieve enterprise data, and act autonomously.

Read on for more→ Announcing the Databricks Big Book of AgentOps

Gartner Finds Only 22% Of Organizations Have Scaled AI Across Business Units

Gartner reports that just 22% of organizations have scaled AI initiatives across multiple business units, indicating that most enterprises remain caught between experimentation and enterprise-wide operational deployment. The gap highlights that technical access to models is not enough: organizations also need reliable data, business-process redesign, governance, skills, leadership alignment, and measurable value realization to turn pilots into repeatable AI capabilities.

Read on for more→ Gartner Finds Just 22% of Organizations Have Scaled AI Across Business Units

Institute Of Foundation Models Releases Fully Reproducible AI Model Fleet From Edge To Enterprise

The Institute of Foundation Models has launched K2 Horizon, a six-model portfolio ranging from 0.9 billion to 375 billion parameters, with weights, code, training data, methodologies, evaluations, and deployment tooling released under Apache 2.0. The portfolio includes small models intended for on-device use, 32B and 36B sparse options for local or on-premises inference, and a 375B model for enterprise reasoning and agentic workloads; IFM also says a dynamic router selects the most cost-effective model for each task.

Read on for more→ Institute of Foundation Models Launches the Industry’s Largest Fully Open-Source Fleet of AI Models, Complete with Weights, Code, Training Data and Methodologies

OpenMatter Expands Secure Collaboration Tools For AI Development And Data Sharing

OpenMatter has expanded its platform for secure AI development and data collaboration, aiming to help enterprises and partners work with sensitive data and AI workflows under stronger access, governance, and security controls. The update reflects growing demand for controlled environments where organizations can collaborate on AI initiatives without sacrificing data protection or compliance.

Read on for more→ Industry Updates

SAS And IDC Find Trusted AI Practices Separate High-ROI Enterprises From The Rest

SAS’ second annual Data and AI Impact Report, with research insights from IDC, found organizations investing in trustworthy AI practices are 15 times more likely to report strong AI ROI—62% versus 4% among less mature peers. The global survey of 2,699 decision-makers also found that 97.2% of users override AI recommendations in some cases, primarily when systems cannot explain their decisions, and only 17.5% of enterprises have data infrastructure mature enough for agentic AI; organizations with optimized data foundations were four times more likely to expect strong AI returns.

Read on for more→ Organizations With Trustworthy AI Practices Are 15 Times More Likely To See Strong ROI, Per Study Findings

Teradata Connects Its Enterprise AI Platform Directly To Microsoft OneLake

Teradata has integrated its Autonomous Knowledge Platform with Microsoft OneLake, allowing customers to run Teradata AI and analytics workloads against OneLake data without ETL pipelines, data replication, or migration. Built on Apache Iceberg and using Microsoft Entra ID for cross-platform authentication, the integration preserves existing governance while enabling feature engineering, complex joins, and SLA-bound analytical queries across Teradata and Fabric environments.

Read on for more→ Teradata Brings Enterprise AI Directly to Microsoft OneLake

Tealium Gives AI Agents Governed Access To Customer Data And Configuration Workflows

Tealium has expanded its agentic capabilities with Configuration MCP, Tealium Studio, and new platform APIs, enabling MCP-compatible agents and developers to analyze, configure, and activate governed customer-data workflows. Agents can create or modify audiences, attributes, enrichments, and activation processes, but proposed changes remain in draft until reviewed and approved; Tealium Studio also provides a natural-language interface for tracing data flows, recommending actions, and proposing configurations.

Read on for more→ Tealium Expands Agentic Capabilities to Bring Governed Customer Context to Any AI Platform

Trust3 AI Extends Purpose-Based Security Controls To Databricks Agent Gateway

Trust3 AI has integrated its agent-security control plane with Databricks Unity AI Gateway, adding purpose-based access policies that govern both the actions agents can take and the data they can access. The platform can discover agents, assess posture through a Trust Score, monitor token budgets and scope drift, and log every policy decision, while applying a common policy model across Databricks, Azure AI Gateway, Snowflake Cortex AI Gateway, and AWS Bedrock AgentCore Gateway.

Read on for more→ Apache Ranger Creators Bring Agent Security to the Databricks Unity AI Gateway

VDURA Deploys Tiered High-Performance Storage For AI And HPC Research At New Mexico State

VDURA has placed its software-defined data platform into production at New Mexico State University, creating a shared storage environment for the institution’s AI and HPC research programs. The deployment presents NVMe flash and high-density HDD tiers through a single global namespace across NMSU’s InfiniBand fabric, allowing the university to scale performance and capacity independently as workloads grow across aerospace, cybersecurity, agriculture, water science, and biomedical research.

Read on for more→ VDURA Deploys High-Performance Storage Platform for AI and HPC at New Mexico State University

Wonderful Raises $550 Million To Expand AI Agent Platform And Deployment Services

Amsterdam-based Wonderful has raised a $550 million Series C at a $5 billion valuation, led by Insight Partners with participation from Salesforce, Index Ventures, IVP, Vine Ventures, 9Yards, and Bessemer. Its platform supports agent development, version control, rollback, A/B testing, A2A-based multi-agent workflows, and an AI gateway that dynamically routes requests across language models while enforcing team policies and monitoring cost and access patterns; the company will use the funding for product development and international forward-deployed engineering expansion.

Read on for more→ Wonderful Raises $550M at $5B Valuation for Its AI Automation Platform

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.

EdTech Series: Community Colleges Are the Front Lines: Time to Provide the Infrastructure by Tim Taylor

Community colleges serve more than 40% of all undergraduate students in the United States. They are the primary gateway to economic mobility for adult learners, veterans, first-generation students, and communities of color. And they sit, structurally and geographically, closer to regional employers than almost any other part of the education system.

Read on Solutions Review

EdTech Series: AI Will Change the Manager’s Job Before the Org Chart by Chris Eigeland

Most companies measure AI adoption by the number of tools they’ve deployed and the hours those tools save. Both figures are important, but they only track part of the equation. They tell you whether individual tasks got faster, and nothing about whether the organization around those tasks changed. I’m an AI optimist, and I think the impact will land on the larger side of the forecasts, which is exactly why the deployment numbers worry me.

Read on Solutions Review

EdTech Series: To Build a Stable Life Sciences Workforce, Make Earn-While-You-Learn the Standard by Daniel Weagle

Across the United States, the life sciences sector is undergoing a structural shift driven by a strategic commitment to reshoring manufacturing; state-of-the-art facilities are breaking ground nationwide at an unprecedented rate. However, these modern sites bring complex, evolving demands for the domestic pharmaceutical manufacturing workforce. These include competencies in automation engineering, continuous manufacturing, digital fluency, and artificial intelligence.

Read on Solutions Review

EdTech Series: AI Has Exposed Higher Education’s Assessment Problem by Anthony Lee

For a long time, we were able to make a reasonable assumption that the work a student submitted bore a close relationship to the work the student had done intellectually. Generative AI has weakened that assumption very quickly. A polished piece of academic work can now be produced with far less evidence of mastery behind it. That changes what a university can reasonably infer from the finished product.

Read on Solutions Review

EdTech Series: AI Should Amplify Academic Expertise, Not Replace it  by Pascal Van Hentenryck

When we talk about artificial intelligence (AI) in the classroom, most conversations tend to focus on the negatives. Fears of cheating, plagiarism, reduced critical thinking skills, and more take the forefront, making us question whether or not these evolving technologies—including generative AI (GenAI)—have a productive place in learning environments.

Read on Solutions Review

Thought Leaders: Intersystems Summit 2026: A Peek Into Converged AI Workloads by BARC’s Kevin Petrie

InterSystems gets me excited for a few reasons. They are proud to be privately held, their AR team rocks, and President Don Woodlock shares my love of kayaking. But the most exciting part of their analyst summit last week was peeking into the world of converged workloads that will make or break the success of AI.

Read on Solutions Review

Contributor Series: Leveraging Modern Data Strategies to Optimize University Websites by Mike McGetrick

Higher education institutions have spent years adapting their outreach strategies to better connect with and address the needs of digital natives. Now, institutions are forced to navigate yet another generational shift: As Generation Alpha begins the college search process, institutions must improve how they attract what is being aptly referred to as the digitally immersed “glass generation.” AI and social media channels have surged as destinations to learn more about a college or university, but an institution’s own website remains the first place students and their parents visit to seek information.

Read on Solutions Review

Contributor Series: The New Blueprint for AI Upskilling in IT by Tal Dagan

As more organizations adopt AI, 59 percent of leaders that conduct some kind of training at those companies are still seeing significant disparities in their technicians’ AI skill levels. Traditional training programs are at fault: by focusing on prompt engineering, basic programming skills, and data interpretation alone, they treat skill gaps as an individual issue rather than a systemic one. As a result, the new skills that technicians gain often become ineffective.

Read on Solutions Review