Data Management News for the Week of January 30; Updates from Adeptia, Snowflake, Teradata & More

Solutions Review Executive Editor Tim King curated this list of notable data management news for the week of January 30, 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 30, 2026
Adeptia Automate Accelerator Cleans Up Retirement Enrollment Data for Record-Ready Inputs
Adeptia has launched Adeptia Automate for Retirement Benefits Enrollment, an accelerator that ingests messy, inconsistent enrollment data from HR systems, brokers, and TPAs and turns it into validated, record-ready inputs for record-keeping platforms. By applying intelligent data automation, reusable templates, and built-in validation, the solution aims to shrink multi-week, manual onboarding into hours, enabling faster enrollment, earlier revenue recognition, and better compliance for retirement providers.
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
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
Cognite and Snowflake Team Up to Scale Industrial AI for Oil and Gas
Cognite has partnered with Snowflake to integrate its industrial data and AI platform with the Snowflake AI Data Cloud, helping oil and gas operators unify IT, OT, and field data into a single, governed environment for industrial AI. The joint solution turns high‑frequency time‑series data, engineering models, and operational datasets into AI‑ready data products that support predictive maintenance, asset performance, and production optimization as upstream operators modernize aging infrastructure and push for lower‑carbon, more resilient operations.
Read on for more → https://worldoil.com/news/2026/1/27/cognite-partners-with-snowflake-to-scale-industrial-ai-for-oil-and-gas/
Cribl Achieves FedRAMP Authorization to Operate for Cribl.Cloud Government
Cribl has secured a Moderate FedRAMP Authority to Operate for its Cribl.Cloud Government suite, clearing U.S. federal agencies to procure its cloud services for managing IT and security telemetry. More than 20 agencies already use Cribl software, and the FedRAMP ATO now lets them consume the full portfolio—Stream, Edge, Search, Lake, and Lakehouse—in a compliant way to control data volume, routing, and cost as they modernize for the AI era.
Read on for more → https://finance.yahoo.com/news/cribl-achieves-fedramp-authority-operate-170000350.html
Datadog Acquires Propolis to Bring Autonomous QA Testing into Observability
Datadog has acquired Propolis, an autonomous QA platform whose AI agents explore applications, learn real user goals, and use swarms of synthetic users to continuously test complex, nondeterministic, and agentic journeys that traditional scripted tests miss. By combining Propolis with Datadog’s production telemetry—traces, logs, and RUM—Datadog aims to turn quality into a continuous, in‑prod signal where tests self‑heal, align with real behavior, and shift QA from a slow pre‑release gate to an end‑to‑end, automated safety net for AI‑driven applications.
Read on for more → https://www.datadoghq.com/blog/datadog-acquires-propolis/
Descope and Skyflow Bring Identity and Data Guardrails to MCP Servers
Descope and Skyflow have partnered to provide an integrated identity and data control layer for MCP servers, giving AI agents first‑class identities, fine‑grained authorization, and runtime PII policy enforcement instead of coarse API keys and opaque data access. By combining Descope’s auth, token exchange, and consent flows with Skyflow’s privacy vault, masking, and row‑level security, enterprises can control which tools an agent can use and exactly what sensitive data it can see at query time, enabling secure, compliant agentic workflows like marketing campaigns, support lookups, and payments without rewriting app logic.
Read on for more → https://www.descope.com/blog/post/descope-skyflow-mcp
Etleap Launches Unified Iceberg Data Pipeline Platform for Open Table Formats
Etleap has introduced an Iceberg pipeline platform that unifies ingestion, transformation, orchestration, and Apache Iceberg table operations into a single system designed to run inside a customer’s VPC. Aimed at enterprises adopting “open foundation + multiple engines” architectures, the platform replaces ad hoc stacks of ingestion tools, dbt jobs, and custom maintenance so teams can operate Iceberg at scale, reuse tables across analytics/AI workloads, and cut tool sprawl.
Read on for more → https://itbrief.asia/story/etleap-unveils-unified-iceberg-data-pipeline-platform
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.
NETL Launches ClaiMM Hub to Unify Critical Minerals Data, Models, and Tools
The U.S. Department of Energy’s NETL has launched ClaiMM, a digital platform on its Energy Data eXchange that centralizes curated datasets, models, tools, and AI‑driven services for critical minerals and materials research across the full value chain. By providing a secure, extensible environment that links source‑to‑supply information—from geological prospects through processing, manufacturing, and supply chain modeling—ClaiMM aims to reduce data fragmentation, accelerate cross‑disciplinary collaboration, and support national priorities around energy security and resource independence.
Read on for more → https://www.hpcwire.com/bigdatawire/this-just-in/netl-introduces-claimm-hub-for-critical-minerals-data-models-and-tools/
OpenAIRE and World Data System Renew Pact to Strengthen Research Data Infrastructure
OpenAIRE and the World Data System have renewed their Memorandum of Understanding to jointly strengthen open science data infrastructure, focusing on how research data repositories are represented, connected, and assessed across the ecosystem. The collaboration will use the OpenAIRE Graph, shared metadata and vocabularies, and joint events to improve interoperability, promote good practices, and pilot new monitoring tools and community gateways for research data.
Read on for more → https://www.hpcwire.com/bigdatawire/this-just-in/openaire-and-world-data-system-renew-partnership-on-research-data-infrastructure/
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.
TomTom Joins Precisely Data Link to Pre-Link Authoritative Map and Street Data
TomTom has joined Precisely’s Data Link program, making its map and street data part of a pre‑linked ecosystem that connects Precisely’s data with trusted third‑party datasets for analytics and AI. The move deepens a long‑standing partnership and is meant to eliminate weeks of manual wrangling by giving customers ready‑to‑use, interoperable location and enrichment data for use cases like last‑mile delivery, site selection, risk modeling, and urban planning.
Read on for more → https://www.prnewswire.com/news-releases/tomtom-joins-precisely-data-link-program-bringing-authoritative-map-and-street-data-to-the-prelinked-data-ecosystem-302671904.html
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/
Syndigo Adds New Strategy and Alliances Leaders to Drive Ecosystem-Led Data Growth
Syndigo has expanded its executive leadership team, creating a Chief Strategy & Alliances Officer role and broadening the mandate of its Chief Customer & Data Officer to align partner ecosystem growth with its product data and customer experience strategy. The moves aim to accelerate ecosystem‑led expansion for Syndigo’s Product Experience Management and product MDM platform, ensuring its 15,000+ brands and 3,500 retailers get more connected, AI‑ready product data and better support as commerce grows more complex.
Read on for more → https://www.businesswire.com/news/home/20260127906596/en/Syndigo-Expands-Executive-Leadership-Team-to-Accelerate-Ecosystem-Led-Growth-Data-Strategy-and-Customer-Experience
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.
Expert Wrap: Data Privacy Week 2026 – Key Insights from The Field’s Greatest Thinkers
This roundup features insights from leading experts who dissect the nuances of data privacy today. They explore the challenges we face in safeguarding digital identities, the emerging threats to our online spaces, and the innovative strategies being developed to secure personal information against unauthorized access.
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: 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.
Thought Leaders: George Firican Adds New Lesson on GenAI Prompting for Data Governance to Popular Training Course
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 data management news roundups, send your announcements to the editor: tking@solutionsreview.com.
