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Solutions Review Executive Editor Tim King curated this list of notable data management news for the week of January 30, 2026.<\/strong><\/em><\/p>\n 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.<\/p>\n For early access to all the expert insights published on Solutions Review<\/em>, join Insight Jam<\/em><\/a><\/strong><\/span>, a community dedicated to enabling the human conversation on AI.<\/p>\n Adeptia Automate Accelerator Cleans Up Retirement Enrollment Data for Record-Ready Inputs<\/strong><\/p>\n 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.<\/p>\n Read on for more \u2192\u00a0https:\/\/www.prnewswire.com\/news-releases\/adeptia-unveils-new-accelerator-pack-for-retirement-benefits-enrollment-transforming-disconnected-enrollment-data-into-validated-record-ready-inputs-302673426.html<\/span><\/a><\/span><\/p>\n BigID Launches Concierge to Give Data and AI Teams \u201cExtra Hands\u201d Without Extra Headcount<\/strong><\/p>\n BigID has introduced BigID Concierge, a flexible service that embeds experienced BigID operators and AI\u2011assisted workflows into customer teams so they can execute day\u2011to\u2011day data security, privacy, governance, and AI tasks faster. Rather than adding new tools or hiring more staff, Concierge provides ongoing or project\u2011based execution capacity\u2014operationalizing retention, deletion, remediation, access intelligence, and DSAR work\u2014so organizations can move from data insight to action without backlogs.<\/p>\n Read on for more \u2192\u00a0https:\/\/www.prnewswire.com\/news-releases\/bigid-concierge-extends-customer-teams-to-deliver-faster-data-and-ai-results-302674177.html<\/span><\/a><\/p>\n Cisco: AI Is Driving a Surge in Data Privacy Spend and Forcing Holistic Governance<\/strong><\/p>\n Cisco\u2019s 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\u2014pushing companies toward more holistic governance of personal and non-personal data as a prerequisite for explainable, trusted AI at scale.<\/p>\n Read on for more \u2192\u00a0https:\/\/newsroom.cisco.com\/c\/r\/newsroom\/en\/us\/a\/y2026\/m01\/ai-data-privacy-investments-governance-cisco-report.html<\/span><\/a><\/span><\/p>\n Cockroach Labs 2026 AI Report Warns Infrastructure Is Near Breaking Point<\/strong><\/p>\n Cockroach Labs\u2019 \u201cState of AI Infrastructure 2026\u201d report finds that as AI shifts from pilots to always\u2011on 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\u2019t just add traffic\u2014it fundamentally changes the scale systems must survive\u2014making resilient, elastic architectures a board\u2011level priority rather than a back\u2011office concern.<\/p>\n Read on for more \u2192\u00a0https:\/\/www.prnewswire.com\/news-releases\/cockroach-labs-2026-ai-report-finds-ai-scale-is-pushing-enterprise-infrastructure-toward-failure-302673598.html<\/span><\/a><\/span><\/p>\n Cognite and Snowflake Team Up to Scale Industrial AI for Oil and Gas<\/strong><\/p>\n 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\u2011frequency time\u2011series data, engineering models, and operational datasets into AI\u2011ready data products that support predictive maintenance, asset performance, and production optimization as upstream operators modernize aging infrastructure and push for lower\u2011carbon, more resilient operations.<\/p>\n Read on for more \u2192\u00a0https:\/\/worldoil.com\/news\/2026\/1\/27\/cognite-partners-with-snowflake-to-scale-industrial-ai-for-oil-and-gas\/<\/span><\/a><\/span><\/p>\n Cribl Achieves FedRAMP Authorization to Operate for Cribl.Cloud Government<\/strong><\/p>\n 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\u2014Stream, Edge, Search, Lake, and Lakehouse\u2014in a compliant way to control data volume, routing, and cost as they modernize for the AI era.<\/p>\n Read on for more \u2192\u00a0https:\/\/finance.yahoo.com\/news\/cribl-achieves-fedramp-authority-operate-170000350.html<\/span><\/a><\/p>\n Datadog Acquires Propolis to Bring Autonomous QA Testing into Observability<\/strong><\/p>\n 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\u2019s production telemetry\u2014traces, logs, and RUM\u2014Datadog aims to turn quality into a continuous, in\u2011prod signal where tests self\u2011heal, align with real behavior, and shift QA from a slow pre\u2011release gate to an end\u2011to\u2011end, automated safety net for AI\u2011driven applications.<\/p>\n Read on for more \u2192\u00a0https:\/\/www.datadoghq.com\/blog\/datadog-acquires-propolis\/<\/span><\/a><\/span><\/p>\n Descope and Skyflow Bring Identity and Data Guardrails to MCP Servers<\/strong><\/p>\n Descope and Skyflow have partnered to provide an integrated identity and data control layer for MCP servers, giving AI agents first\u2011class identities, fine\u2011grained authorization, and runtime PII policy enforcement instead of coarse API keys and opaque data access. By combining Descope\u2019s auth, token exchange, and consent flows with Skyflow\u2019s privacy vault, masking, and row\u2011level 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.<\/p>\n Read on for more \u2192\u00a0https:\/\/www.descope.com\/blog\/post\/descope-skyflow-mcp<\/span><\/a><\/span><\/p>\n Etleap Launches Unified Iceberg Data Pipeline Platform for Open Table Formats<\/strong><\/p>\n 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\u2019s VPC. Aimed at enterprises adopting \u201copen foundation + multiple engines\u201d 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.<\/p>\n Read on for more \u2192\u00a0https:\/\/itbrief.asia\/story\/etleap-unveils-unified-iceberg-data-pipeline-platform<\/span><\/a><\/p>\n Handshake Acquires Cleanlab to Bolster Data Quality and Evaluation for Frontier AI Models<\/strong><\/p>\n Handshake has acquired data quality startup Cleanlab in a deal that folds Cleanlab\u2019s MIT\u2011trained research team and confident\u2011learning technology into Handshake\u2019s AI data labeling platform to improve training data for frontier AI models. The acquisition, framed largely as an acqui\u2011hire, will see Cleanlab lead Handshake\u2019s AI research on data auditing, quality assurance, and LLM evaluation, while its popular open\u2011source package moves to a more permissive Apache\u20112.0 license so enterprises and labs can continue using its tools to detect noisy labels and strengthen model reliability.<\/p>\n Read on for more \u2192\u00a0https:\/\/pulse2.com\/handshake-acquires-cleanlab-to-build-data-quality-and-evaluation-capabilities-for-frontier-ai-models\/<\/span><\/a><\/span><\/p>\n Info-Tech\u2019s \u201cData Priorities 2026\u201d Warns AI Is Scaling Underlying Data Problems<\/strong><\/p>\n Info-Tech Research Group\u2019s\u00a0Data Priorities 2026<\/em>\u00a0report 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\u2014unified data\/AI governance, customer\u2011centric data products, a trusted AI\u2011ready data supply, and cultivating data champions\u2014arguing that \u201cfeed AI noise and it will scale confusion; feed it clarity and it will scale intelligence,\u201d and that only disciplined data foundations will unlock sustainable returns from AI.<\/p>\n Read on for more \u2192\u00a0https:\/\/www.prnewswire.com\/news-releases\/data-priorities-2026-ai-adoption-exposes-gaps-in-data-quality-governance-and-literacy-says-info-tech-research-group-in-new-report-302672864.html<\/span><\/a><\/span><\/p>\n NETL Launches ClaiMM Hub to Unify Critical Minerals Data, Models, and Tools<\/strong><\/p>\n The U.S. Department of Energy\u2019s NETL has launched ClaiMM, a digital platform on its Energy Data eXchange that centralizes curated datasets, models, tools, and AI\u2011driven services for critical minerals and materials research across the full value chain. By providing a secure, extensible environment that links source\u2011to\u2011supply information\u2014from geological prospects through processing, manufacturing, and supply chain modeling\u2014ClaiMM aims to reduce data fragmentation, accelerate cross\u2011disciplinary collaboration, and support national priorities around energy security and resource independence.<\/p>\n Read on for more \u2192\u00a0https:\/\/www.hpcwire.com\/bigdatawire\/this-just-in\/netl-introduces-claimm-hub-for-critical-minerals-data-models-and-tools\/<\/span><\/a><\/p>\n OpenAIRE and World Data System Renew Pact to Strengthen Research Data Infrastructure<\/strong><\/p>\n 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.<\/p>\n Read on for more \u2192\u00a0https:\/\/www.hpcwire.com\/bigdatawire\/this-just-in\/openaire-and-world-data-system-renew-partnership-on-research-data-infrastructure\/<\/span><\/a><\/p>\n Oracle Launches Life Sciences AI Data Platform to Unite Fragmented Data and Agentic Intelligence<\/strong><\/p>\n Oracle has introduced the Oracle Life Sciences AI Data Platform, a generative AI\u2013enabled environment that unifies customer data, third\u2011party sources, and more than 129 million de\u2011identified 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\u2011of\u2011the\u2011box AI agents so researchers can ask open\u2011ended questions, refine hypotheses, generate synthetic control arms, monitor safety across disparate sources, and support regulatory submissions with full data lineage transparency and guardrails.<\/p>\n Read on for more \u2192\u00a0https:\/\/www.prnewswire.com\/news-releases\/oracle-life-sciences-ai-data-platform-unites-data-and-agentic-intelligence-to-accelerate-medical-breakthroughs-and-drive-commercial-success-302673290.html<\/span><\/a><\/span><\/p>\n TomTom Joins Precisely Data Link to Pre-Link Authoritative Map and Street Data<\/strong><\/p>\n TomTom has joined Precisely\u2019s Data Link program, making its map and street data part of a pre\u2011linked ecosystem that connects Precisely\u2019s data with trusted third\u2011party datasets for analytics and AI. The move deepens a long\u2011standing partnership and is meant to eliminate weeks of manual wrangling by giving customers ready\u2011to\u2011use, interoperable location and enrichment data for use cases like last\u2011mile delivery, site selection, risk modeling, and urban planning.<\/p>\n Read on for more \u2192\u00a0https:\/\/www.prnewswire.com\/news-releases\/tomtom-joins-precisely-data-link-program-bringing-authoritative-map-and-street-data-to-the-prelinked-data-ecosystem-302671904.html<\/span><\/a><\/span><\/p>\n Snowflake Energy Solutions: Unifying IT, OT, and IoT for AI-Ready Grids<\/strong><\/p>\n 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.<\/p>\n Read on for more \u2192\u00a0https:\/\/www.snowflake.com\/en\/blog\/data-driven-energy-solutions\/<\/span><\/a><\/span><\/p>\n Syndigo Adds New Strategy and Alliances Leaders to Drive Ecosystem-Led Data Growth<\/strong><\/p>\n 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\u2011led expansion for Syndigo\u2019s Product Experience Management and product MDM platform, ensuring its 15,000+ brands and 3,500 retailers get more connected, AI\u2011ready product data and better support as commerce grows more complex.<\/p>\n Read on for more \u2192\u00a0https:\/\/www.businesswire.com\/news\/home\/20260127906596\/en\/Syndigo-Expands-Executive-Leadership-Team-to-Accelerate-Ecosystem-Led-Growth-Data-Strategy-and-Customer-Experience<\/span><\/a><\/span><\/p>\n Teradata Unveils Enterprise AgentStack for Production-Grade Agentic AI<\/strong><\/p>\n 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\u2011cloud environments. The platform combines components such as Enterprise MCP for secure data discovery, AgentBuilder and AgentEngine for creating and running single or multi\u2011agent systems, and AgentOps for observability and governance, positioning Teradata customers to turn their existing analytic datasets into a foundation for large\u2011scale agentic AI in minutes rather than months.<\/p>\n Read on for more \u2192\u00a0https:\/\/www.teradata.com\/press-releases\/2026\/teradata-unveils-enterprise-agentstack<\/span><\/a><\/span><\/p>\n Insight Jam<\/em>\u00a0Launches Year-Long “Mesh Lab” to Build a Framework for Work & Learning in the Age of AI<\/strong><\/p>\n Insight Jam<\/em> Mesh Lab is a year-long, monthly series of expert-led discussions<\/a><\/strong><\/span> 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.<\/p>\n Watch on Insight Jam<\/em><\/a><\/p>\n Expert Wrap: Data Privacy Week 2026 – Key Insights from The Field’s Greatest Thinkers<\/b><\/p>\n This roundup features insights from leading experts who dissect the\u00a0nuances of data privacy<\/a><\/strong>\u00a0today. They explore the challenges we face in safeguarding digital identities, the emerging threats to our online spaces, and the\u00a0innovative strategies being developed<\/a><\/strong>\u00a0to secure personal information against unauthorized access.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n Solutions Review<\/i> is Getting Set to Host Astronomer for the Exclusive Session ‘Stop Reacting, Start Preventing: Observability at the Orchestration Layer’ on February 17<\/strong><\/p>\n In this webinar, Ashley and Stephanie will share how to enable proactive monitoring by moving observability upstream. You\u2019ll 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.<\/p>\n Register on LinkedIn<\/a><\/p>\n Solutions Review<\/i> 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<\/strong><\/p>\n 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\u2019ll explore how cloud native architecture is reshaping enterprise IT. Unlike traditional monolithic applications \u2014 which are slow to evolve, difficult to scale, and operationally complex \u2014 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.<\/p>\n Register on LinkedIn<\/a><\/p>\n The Digital Analyst <\/em>with John Santaferraro: Adopting Agentic Analytics with Bhaskar Sunkara<\/strong><\/p>\n 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.<\/p>\n Watch on YouTube<\/a><\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n Solutions Review<\/em> Editors Launch New ‘Human-AI Ledger’ Newsletter to Chronicle the Human Impact of AI<\/strong><\/p>\n Artificial intelligence is everywhere\u2014but understanding its human impact has never been more urgent. That’s where Solutions Review<\/em>‘s latest newsletter, The Human-AI Ledger<\/i><\/a><\/strong><\/span>, 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\u2014the non-technical, deeply human dimensions that determine whether this technological revolution helps us thrive or leaves us behind.<\/span><\/p>\nTop Data Management News for the Week Ending January 30,<\/strong> 2026<\/strong><\/h2>\n
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<\/a>Watch this space each week as our editors will share upcoming events, new thought leadership, and the best resources from Insight Jam<\/em>, Solutions Review’s enterprise tech community<\/a><\/strong><\/span> 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.<\/p>\nThought Leaders: George Firican Adds New Lesson on GenAI Prompting for Data Governance to Popular Training Course<\/strong><\/h4>\n
Award-winning data governance leader and LightsOnData Founder George Firican told us: “We recently added a lesson on GenAI Prompts for Data Governance – a practical collection of reusable GenAI prompts designed to accelerate core data governance activities including policy drafting, glossary development, communication planning, ownership clarity, quality assessment, and risk evaluation.”<\/div>\n