Solutions Review Executive Editor Tim King curated this list of notable artificial intelligence news for the week of January 30, 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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Artificial Intelligence News for the Week of January 30, 2026
Atos Revives Bull Brand to House Its AI, HPC, and Quantum Group
Atos is relaunching Bull as its dedicated brand for high‑performance computing, artificial intelligence, and quantum technologies, spinning the historic French computing name back out as a flagship unit as part of a state‑backed restructuring. Bull will focus on end‑to‑end advanced computing stacks—from hardware and interconnects to AI platforms and services—to support European digital sovereignty in critical sectors like defense, energy, and scientific research.
Read on for more → https://www.datacenterdynamics.com/en/news/atos-relaunches-its-ai-hpc-and-quantum-group-under-bull-brand/
AtScale Joins Open Semantic Interchange to Standardize Metrics for AI and BI
AtScale has joined the Open Semantic Interchange (OSI), an open source initiative led by Snowflake to define a vendor-neutral standard for semantic metadata so enterprises can maintain consistent metrics across dashboards, notebooks, and machine learning models. Bringing over a decade of semantic layer experience and its Semantic Modeling Language (SML), AtScale aims to help OSI ground the standard in real-world multidimensional modeling, easing migrations from legacy systems like SSAS and Cognos while making governed business logic portable across cloud data platforms, BI tools, and AI agents.
Read on for more → https://www.opensourceforu.com/2026/01/atscale-enters-open-source-osi-to-standardise-semantic-metadata-for-ai-and-bi/
BigID Launches Concierge to Give Data and AI Teams “Extra Hands” Without Extra Headcount
BigID has introduced BigID Concierge, a flexible service that embeds experienced BigID operators and AI‑assisted workflows into customer teams so they can execute day‑to‑day data security, privacy, governance, and AI tasks faster. Rather than adding new tools or hiring more staff, Concierge provides ongoing or project‑based execution capacity—operationalizing retention, deletion, remediation, access intelligence, and DSAR work—so organizations can move from data insight to action without backlogs.
Read on for more → https://www.prnewswire.com/news-releases/bigid-concierge-extends-customer-teams-to-deliver-faster-data-and-ai-results-302674177.html
Cadence and Lightmatter Team Up to Scale Optical AI Systems
Cadence and photonics startup Lightmatter are partnering so chip designers can co‑optimize advanced electronic and optical components, using Cadence’s design tools alongside Lightmatter’s photonic interconnect and compute technologies to build next‑generation optical AI systems. The collaboration is aimed at helping hyperscalers and semiconductor companies break through power and bandwidth limits in traditional electronic architectures by making it easier to design, verify, and scale mixed electro‑optical platforms for large AI workloads.
Read on for more → https://finance.yahoo.com/news/cadence-lightmatter-team-scale-optical-140500608.html
Cisco: AI Is Driving a Surge in Data Privacy Spend and Forcing Holistic Governance
Cisco’s 2026 Data and Privacy Benchmark Study reports that 90% of organizations have expanded their privacy programs and 93% plan to invest more, with 38% spending at least $5 million on privacy in the past year as AI adoption accelerates. While three-quarters now have some form of AI governance body, only 12% consider these structures mature, and 65% still struggle to access high-quality data—pushing companies toward more holistic governance of personal and non-personal data as a prerequisite for explainable, trusted AI at scale.
Read on for more → https://newsroom.cisco.com/c/r/newsroom/en/us/a/y2026/m01/ai-data-privacy-investments-governance-cisco-report.html
Cockroach Labs 2026 AI Report Warns Infrastructure Is Near Breaking Point
Cockroach Labs’ “State of AI Infrastructure 2026” report finds that as AI shifts from pilots to always‑on production, 83% of senior tech leaders believe their data infrastructure will hit a breaking point within two years, and a third expect failure in under a year. The study highlights the database layer as a primary bottleneck under sustained AI load, with leaders warning that AI doesn’t just add traffic—it fundamentally changes the scale systems must survive—making resilient, elastic architectures a board‑level priority rather than a back‑office concern.
Read on for more → https://www.prnewswire.com/news-releases/cockroach-labs-2026-ai-report-finds-ai-scale-is-pushing-enterprise-infrastructure-toward-failure-302673598.html
Datalinx AI Raises $4.2M to Fix Data Readiness for Enterprise Marketing AI
Datalinx AI has raised a $4.2 million oversubscribed seed round led by High Alpha with participation from Databricks and others to help enterprise marketing and data teams turn fragmented, low-quality data into predictive, AI‑ready data products. The company targets the persistent “our data isn’t ready for AI” problem by automating data preparation and quality work so marketing teams can ship models and use cases faster without building heavy internal data engineering pipelines.
Read on for more → https://finance.yahoo.com/news/datalinx-ai-raises-4-2m-133400295.html
Fujitsu Launches Dedicated Platform for Autonomous Generative AI Operations
Fujitsu has launched a dedicated AI platform that lets enterprises autonomously manage the full generative AI lifecycle—from model development and operation to incremental learning and continuous improvement—inside secure, closed environments. Delivered via its Private AI Platform on PRIMERGY and Private GPT, the system targets sovereign, in-house generative AI, offering low-code/no-code tools for agent development, support for Model Context Protocol, and multi-agent coordination across data center, edge, and physical AI use cases.
Read on for more → https://www.hpcwire.com/aiwire/2026/01/27/fujitsu-launches-platform-for-managing-and-operating-generative-ai-systems/
Go1 Pivots to Contextual, Agent-Driven Learning in the Flow of Work
Go1 has unveiled a new product direction centered on “contextual learning,” introducing Morgan, an intelligent agent that brings personalized learning into everyday tools like Slack and Microsoft Teams rather than forcing employees into separate training portals. Morgan uses role, policy, and organizational context to surface relevant content, answer questions, reinforce skills, and support compliance, as Go1 evolves from a content hub into an employee development suite with agent‑powered manager tools and measurable outcomes for performance and people risk.
Read on for more → https://www.morningstar.com/news/pr-newswire/20260127de71981/go1-unveils-new-product-direction-focused-on-contextual-learning-driving-measurable-outcomes
Handshake Acquires Cleanlab to Bolster Data Quality and Evaluation for Frontier AI Models
Handshake has acquired data quality startup Cleanlab in a deal that folds Cleanlab’s MIT‑trained research team and confident‑learning technology into Handshake’s AI data labeling platform to improve training data for frontier AI models. The acquisition, framed largely as an acqui‑hire, will see Cleanlab lead Handshake’s AI research on data auditing, quality assurance, and LLM evaluation, while its popular open‑source package moves to a more permissive Apache‑2.0 license so enterprises and labs can continue using its tools to detect noisy labels and strengthen model reliability.
Read on for more → https://pulse2.com/handshake-acquires-cleanlab-to-build-data-quality-and-evaluation-capabilities-for-frontier-ai-models/
Info-Tech’s “Data Priorities 2026” Warns AI Is Scaling Underlying Data Problems
Info-Tech Research Group’s Data Priorities 2026 report finds that inconsistent data quality, unclear governance, and low data literacy are still undermining AI readiness, even as organizations rush to prove value from AI under tighter budgets and regulations. The firm outlines four priorities for CIOs and CDOs—unified data/AI governance, customer‑centric data products, a trusted AI‑ready data supply, and cultivating data champions—arguing that “feed AI noise and it will scale confusion; feed it clarity and it will scale intelligence,” and that only disciplined data foundations will unlock sustainable returns from AI.
New Relic’s AIOps Data Shows Big Gains in Engineering Productivity
New Relic’s 2026 AI Impact Report finds that accounts using its AI‑powered observability features cut alert volume by 27%, achieve roughly 2x higher alert correlation, and resolve incidents about 25% faster than non‑AI users, with MTTC during a May 2025 spike dropping to 26.75 minutes versus 50.23 minutes. Those same AI‑enabled teams ship code far more frequently, averaging about 80% higher deployment velocity overall and reaching up to 453 deployments per day at peak compared with 87 for non‑AI accounts, linking AIOps directly to reclaimed engineering time and faster delivery.
Read on for more → https://cio.economictimes.indiatimes.com/news/artificial-intelligence/boost-your-engineering-productivity-with-aiops-new-relics-2026-report-insights/127610541
NTT DATA and AWS Sign Multi-Year Pact to Accelerate Enterprise Cloud and Agentic AI Adoption
NTT DATA has signed a multi‑year Strategic Collaboration Agreement with AWS to modernize mission‑critical workloads and help enterprises adopt agentic AI at scale across sectors like financial services, healthcare, public sector, and manufacturing. The partners will combine NTT DATA’s cloud transformation and Smart AI Agent ecosystem with AWS’s services to deliver industry cloud solutions, AI‑driven large‑scale migration, and innovation labs on AWS, giving customers an end‑to‑end path from advisory through managed services.
Read on for more → https://www.hpcwire.com/bigdatawire/this-just-in/ntt-data-partners-with-aws-to-accelerate-enterprise-cloud-and-agentic-ai-adoption/
Opsera’s 2026 Benchmark Shows AI Coding Assistants Are Now the Norm—and Expose New Governance Gaps
Opsera’s “2026 AI Coding Impact Benchmark Report,” based on data from more than 250,000 developers, finds AI coding assistants have reached about 90% enterprise adoption by the end of 2025 and deliver 48–58% faster time‑to‑pull‑request on average. The report notes that productivity gains are highest in organizations with automated CI/CD pipelines and strong governance, while laggards with manual workflows see more bottlenecks and security risks, underscoring the need to pair tools like GitHub Copilot and emerging agentic DevOps assistants with rigorous controls across the AI‑driven development lifecycle.
Read on for more → https://www.prnewswire.com/news-releases/new-opsera-report-reveals-how-ai-is-transforming-software-delivery-and-driving-business-outcomes-302673996.html
Oracle Launches Life Sciences AI Data Platform to Unite Fragmented Data and Agentic Intelligence
Oracle has introduced the Oracle Life Sciences AI Data Platform, a generative AI–enabled environment that unifies customer data, third‑party sources, and more than 129 million de‑identified longitudinal Oracle Health EHR records to accelerate R&D, clinical trials, safety monitoring, and commercialization in pharma, medtech, and life sciences. Built on OCI and tightly integrated with Oracle Life Sciences and Oracle Health AI application suites, the platform uses agentic reasoning and out‑of‑the‑box AI agents so researchers can ask open‑ended questions, refine hypotheses, generate synthetic control arms, monitor safety across disparate sources, and support regulatory submissions with full data lineage transparency and guardrails.
Snowflake Energy Solutions: Unifying IT, OT, and IoT for AI-Ready Grids
Snowflake has introduced Energy Solutions for its AI Data Cloud, bundling 30+ partner-built tools and curated datasets to unify IT, OT, and IoT data for utilities and oil and gas companies. By bringing SAP finance/supply-chain data together with field and grid telemetry, Snowflake aims to power predictive maintenance, grid optimization, and lower-carbon operations for customers like ExxonMobil, PG&E, Siemens, and Sunrun.
Read on for more → https://www.snowflake.com/en/blog/data-driven-energy-solutions/
Swimlane Unveils Fleet of AI Security Agents and Low-Code Agent Builder
Swimlane has launched a fleet of “Hero AI” agents and an Agent‑Builder inside its Turbine platform, giving security teams and MSSPs an AI workforce that already performs the equivalent of more than 60,000 SOC analysts’ work per day across its customer base. The agents act as intelligent microservices that handle complex reasoning and threat‑intel tasks while playbooks provide guardrails, with Swimlane reporting a 75% reduction in mean time to respond and thousands of cases closed autonomously in its own SOC.
Read on for more → https://www.businesswire.com/news/home/20260127331259/en/Swimlane-Unveils-Fleet-of-AI-Agents-and-Agent-Builder-to-Power-the-Security-Workforce
Teradata Unveils Enterprise AgentStack for Production-Grade Agentic AI
Teradata has introduced Enterprise AgentStack, an open, connected stack that unifies the lifecycle for building, deploying, and governing autonomous AI agents against enterprise data across hybrid and multi‑cloud environments. The platform combines components such as Enterprise MCP for secure data discovery, AgentBuilder and AgentEngine for creating and running single or multi‑agent systems, and AgentOps for observability and governance, positioning Teradata customers to turn their existing analytic datasets into a foundation for large‑scale agentic AI in minutes rather than months.
Read on for more → https://www.teradata.com/press-releases/2026/teradata-unveils-enterprise-agentstack
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.
Insight Jam Launches Year-Long “Mesh Lab” to Build a Framework for Work & Learning in the Age of AI
Insight Jam Mesh Lab is a year-long, monthly series of expert-led discussions dedicated to exploring and shaping the next generation of frameworks for work and learning in the age of AI. Rather than reacting to tools or trends, Mesh Lab is designed to initiate a sustained, cross-sector conversation about how human capability itself must be re-architected as AI becomes embedded across education, enterprise, and leadership.
Episode 1 featuring Michelle Ament, EdD, T. Scott Clendaniel, Sandra Watts, PhD, Stefan Bauschard, Ben Tasker, and Center for Compassionate Leadership will be available next week.
Solutions Review is Getting Set to Host Nutanix and Northeastern University for the Exclusive Session ‘Cloud-Native for the AI-Powered, Innovation-Ready Enterprise Masterclass’ on February 19
Join us for the Nutanix Cloud Native Masterclass, an exclusive event for C-level executives, where attendees will receive a Certificate of Completion from Northeastern University, recognizing their expertise in cloud native strategies. In this Masterclass we’ll explore how cloud native architecture is reshaping enterprise IT. Unlike traditional monolithic applications — which are slow to evolve, difficult to scale, and operationally complex — cloud native applications are composed of independent, loosely coupled components. Built on microservices, containers, Kubernetes, and API-driven design, they are optimized for dynamic, distributed environments.
Insight Jam LIVE! The Human Impact: AI is Forcing Us to Question What it Means to Be Human
AI has become a mirror forcing us to question our very humanity, and we’re finding ourselves more fragile than expected. This panel explores the spiritual and societal questions generative AI is surfacing, from whether we’ve conflated being human with being digital consumers to what happens when machines can write, compose, and create like us. The answer may lie not in individual intelligence, but in what exists between us: AI can defeat us alone, but not together.
Insight Jam LIVE! The Human Impact: The Fine Line Between Personalized and Creepy AI in Marketing
There’s a fine line between personalized and creepy… and AI is making it easier than ever to cross it. This panel explores the ethics of AI-powered marketing, from SDRs that know your puppy’s name to brands that seem to be listening through your phone. The rule of thumb: be their friend, not their stalker. If customers chose to share information, personalization feels helpful. If you just happen to know it, that’s where it gets creepy.
Insight Jam LIVE! The Human Impact: Historic Marketing Spend is Driving AI Hype to New Heights
Our panel of analysts and builders debates where we actually stand, why historic marketing dollars will extend the peak longer than expected, and why the trough of disillusionment could be deeper than what we saw with cloud computing. One thing is certain: when kids instinctively say “that’s AI, that’s not real,” we’ve entered uncharted territory.
Insight Jam LIVE! The Human Impact: The Danger of Cognitive Offloading to AI
When executives ask ChatGPT whether to restructure their company, disasters happen, because AI is a pattern matcher, not a judgment machine. Our expert panel explores how to guard against cognitive offloading and over-reliance on AI, from restricting models to proprietary knowledge to recognizing that we don’t need smarter models, we need better users of existing ones.
The Digital Analyst with John Santaferraro: Adopting Agentic Analytics with Bhaskar Sunkara
In this episode of The Digital Analyst, John and Bhaskar explore the evolution from dashboards to autonomous analytics agents with someone who decoded complex signals at AppDynamics. Bhaskar reveals why detection without understanding creates alert fatigue, and why fragmented data means marketing, payments, and product teams never agree on basic definitions.
The Board Question That Rarely Gets Asked by Samir Sharma
Boards routinely approve significant investment in data, analytics, and AI. Platforms, programs, and capability build-outs are intended to “future-proof” the organization. The scrutiny applied is familiar and necessary, including cost, risk exposure, delivery timelines, and sometimes competitive parity.
The Editors’ Lens: Building Human Advantage: The Soft Skills Renaissance in the AI Era by William Jepma
The fundamental anxiety about artificial intelligence stems from a misunderstanding of what we’re actually building. Large language models don’t “understand” anything in the meaningful sense—they predict tokens based on statistical patterns in training data. This technical reality should comfort us, yet it reveals an opportunity to reclaim and amplify the distinctly human capabilities that make us irreplaceable.
Contributor Series: Shadow AI and the Leadership Gap: Scaling AI to Your Advantage
This rise of decentralized AI adoption – or shadow AI – is not new, but rather a growing trend that poses significant risks to a corporate entity’s organizational security and operations. According to MIT’s Project NANDA study, roughly 90% of employees report using AI tools without informing their IT departments.
Contributor Series: The AI Code Generation Governance Gap is a Security Gap
As organizations race to adopt generative AI, a critical governance gap is widening. According to data from Gartner, only 23% of IT leaders feel confident managing AI governance, and violations could spur a 30% rise in legal disputes by 2028.
Contributor Series: The AI Compliance Trap: Why Checklist Governance Won’t Save You from the EU AI Act
The era of moving fast and break things is officially over. With the enforcement of the EU AI Act and the rapid maturation of global regulatory frameworks, the mantra for the next decade of Artificial Intelligence is “prove it is safe, or don’t deploy it.”
Solutions Review Editors Launch New ‘Human-AI Ledger’ Newsletter to Chronicle the Human Impact of AI
Artificial intelligence is everywhere—but understanding its human impact has never been more urgent. That’s where Solutions Review‘s latest newsletter, The Human-AI Ledger, comes in. Designed to chronicle how AI is reshaping the way we learn, work, lead, and live, this newsletter explores the soft side of AI—the non-technical, deeply human dimensions that determine whether this technological revolution helps us thrive or leaves us behind.
Sign up now to get a weekly debrief of the latest human-centric news, insights, and commentary coming out of this emerging discussion.
For consideration in future artificial intelligence news roundups, send your announcements to the editor: tking@solutionsreview.com.