Data Management News for the Week of January 16; Updates from Astronomer, BARC, Promethium & More

Solutions Review Executive Editor Tim King curated this list of notable data management news for the week of January 16, 2026.
Keeping tabs on all the most relevant big data and data management 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 big data and data management news items.
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Top Data Management News for the Week Ending January 16, 2026
Concentric AI Introduces Private Scan to Protect Sensitive Data in Private AI Applications
Concentric AI launched Private Scan, a tool that scans prompts, responses, and embeddings in private AI applications to detect and control exposure of sensitive data such as PII, PHI, secrets, and regulated content. It works with vector databases and RAG pipelines to give security teams visibility into what data AI systems are accessing and sharing, enabling policies that curb data leakage while preserving AI utility.
Datadobi Strengthens Global Partner Strategy for AI‑Era Data Governance
Datadobi promoted Daniel Esposito to Vice President of Global Alliances, tasking him with building a global network of service partners to deliver StorageMAP‑based unstructured data management and governance solutions. The strategy targets the growing gap between what storage vendors and hyperscalers provide and what enterprises need for AI‑ready data mobility, classification, and compliance, emphasizing deep services expertise over transactional reselling.
IBM Launches Cloud Platform Tuned to Digital Sovereignty Requirements
IBM unveiled a new digitally sovereign cloud platform that allows governments and regulated enterprises to meet strict data residency, access, and control requirements while running modern AI and cloud‑native workloads. The platform combines IBM Cloud, partner infrastructure, and governance tooling so customers can keep sensitive data within specific jurisdictions, control who can operate underlying infrastructure, and still adopt generative and agentic AI services.
Read on for more.
LogicGate’s Value Realization Tool Reveals Customers Nearly Triple Investment Through Platform Efficiencies
LogicGate reported that users of its Value Realization Tool are achieving an average 2.6x ROI by automating and centralizing GRC processes on Risk Cloud, with coordination‑heavy use cases like controls compliance and third‑party risk management seeing even higher returns. The AI‑powered tool automatically aggregates metrics and translates GRC outcomes into financial and time‑savings terms, helping risk teams prove business value in areas such as resource efficiency, revenue enablement, and reduced risk exposure.
Read on for more.
MongoDB for Startups Expands Founders Faster Program
MongoDB expanded its Founders Faster program, offering more credits, technical resources, and go‑to‑market support to early‑stage startups building on MongoDB’s developer data platform. The initiative focuses on AI‑native and data‑intensive startups, helping them move from prototype to production with architectural guidance, workshops, and co‑marketing opportunities.
SelectZero Releases December 2025 Updates for Cloud Cost and Emissions Intelligence
SelectZero’s December 2025 release adds richer Kubernetes and multi‑cloud cost breakdowns, an “Efficient Compute Score,” and automated rightsizing recommendations that factor in both spend and carbon impact. New dashboards help FinOps and platform teams prioritize optimizations with the biggest combined cost and emissions reductions, supporting greener AI and data infrastructure.
Teradata Accelerates AI Innovation With More Than 150 Enterprise AI Engagements in 2025
Teradata reported completing more than 150 AI‑focused customer engagements in 2025 across sectors like financial services, healthcare, manufacturing, and defense, using its autonomous AI + knowledge platform to operationalize AI at scale. Case studies include faster AML model deployment for banks, LLM‑powered analysis of 50,000+ weekly customer transcripts, R&D acceleration via vectorized design docs plus IoT data, AI‑assisted camouflage assessment for defense assets, and secure, large‑scale medical imaging pipelines.
Wiley Appoints Armughan Rafat as Chief AI and Data Services Officer
Wiley named Armughan Rafat as Chief AI and Data Services Officer, charging him with leading AI and data initiatives to turn Wiley’s content and datasets into AI‑ready products for developers and corporate R&D teams. The role builds on nearly 100 million dollars in AI licensing revenue since early 2024 and partnerships with Anthropic, AWS, Perplexity, and Mistral, as Wiley pushes its AI Gateway and other research‑intelligence offerings as “foundational truth” for LLMs.
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 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.
Solutions Review is Getting Set to Host Impetus and Forrester Research for Exclusive Session ‘The Next Generation of Observability in the Era of Agentic AI’ on January 28
In this fireside chat, an analyst-led discussion will explore how observability has evolved, whether today’s tools are ready for these new demands, and why observability is becoming essential in the agentic AI era. The session will also highlight how solutions like Impetus Prism help organizations bring observability and cost intelligence together as an enterprise capability.
Solutions Review is Getting Set to Host Promethium and BARC for Exclusive Session ‘Break the Metadata Bottleneck to Drive Agentic AI and Contextual Insights’ on January 29
This webinar examines three structural challenges behind that bottleneck: distributed datasets, heterogeneous environments, and rising expectations for true self-service analytics. We then outline architectural principles that dynamically integrate data, metadata, and analytics to guide wide-ranging business decisions.
Solutions Review is Getting Set to Host Astronomer for the Exclusive Session ‘Stop Reacting, Start Preventing: Observability at the Orchestration Layer’ on February 17
In this webinar, Ashley and Stephanie will share how to enable proactive monitoring by moving observability upstream. You’ll learn how embedding observability into the orchestration layer allows you to: Identify risks before they cascade downstream Eliminate blind spots and get a single control plane for pipeline and data product health and performance Connect data quality failures directly to the pipeline tasks that caused them.
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.
The Digital Analyst with John Santaferraro: Why 5 Tools Cost More Than One Platform with Telmo Silva
In this episode of The Digital Analyst, we explore how mid-sized companies can access world-class analytics without massive data teams. Telmo explains why buying individual “shiny object” tools creates integration nightmares, and how unified platforms eliminate the hidden tax of maintaining multiple systems.
Solutions Review Expert Samir Sharma Publishes New Book: The Strategy Canvas: A Field Guide for Data & AI
The most significant problem in enterprise data and AI is not the technology; it’s the strategy-execution gap. The vast majority of data & AI initiatives fail to deliver measurable value because the Boardroom’s strategic vision cannot be translated into the day-to-day execution of technical teams. This strategic disconnect costs the global economy trillions in wasted effort, failed projects, and missed opportunities.
The Digital Analyst with John Santaferraro: Evidence-Based AI Governance: Beyond Marketing Claims Featuring Petar Tsankov
Discover why even perfect data quality doesn’t guarantee trustworthy AI, and what evidence-based governance means beyond marketing claims. Actual benchmarks, measurable results, and technical assessments instead of opinions. Learn why AI governance must be implemented in the tech stack, not on paper, and why it’s closer to cybersecurity than compliance documents.
Thought Leaders: Agentic Data Management and Data Observability: Autonomous Agents Arrive Just in Time by Kevin Petrie
Data engineers struggle mightily to prepare and deliver data to voracious consumers that range from executives to line managers, analysts, data scientists, and of course AI agents. Given the scale and complexity of modern analytics initiatives, it’s no surprise that 69 percent of 131 respondents to a recent LinkedIn poll expect demand for data engineers to rise next year even as AI reduces the need for other software roles.
Thought Leaders: Data Quality Risks are a Leading Cause of Project Failure by Dr. Irina Steenbeek
Many organizations underestimate the complexity and severity of data-related risks. Poor documentation, semantic mismatches, duplication, and unrealistic assumptions about existing data quality often stay hidden until late in projects, when they are costlier to fix. Beyond technical failures, these risks lead to delays, budget overruns, compliance violations, and reputational damage. Proactively addressing data quality is essential for delivering value and avoiding failure.
Thought Leaders: George Firican Adds New Lesson on GenAI Prompting for Data Governance to Popular Training Course
For consideration in future data management news roundups, send your announcements to the editor: tking@solutionsreview.com.
