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Solutions Review Executive Editor Tim King curated this list of notable data management news for the week of July 24, 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 Aerospike, AMD, And Google Gemini Join Forces To Push Real-Time Agentic Fraud Detection<\/strong><\/p>\n Aerospike is showcasing a real-time fraud detection stack that combines its database with Google\u2019s Gemini, the Agent Development Kit, and AMD EPYC-powered Cloud C4D VMs to support agentic AI workflows at machine speed. The setup is built for instant transaction processing and case assembly, letting enterprises analyze risk signals, generate investigation context, and route decisions faster without sacrificing the low-latency database access that fraud and payments use cases demand.<\/p>\n Read on for more\u2192 Real-Time Fraud Detection at Machine Speed<\/span><\/a><\/span><\/p>\n Arctera State Of AI Governance 2026 Finds Most Organizations Expect Communication Risk To Rise But Few Can Prove Governance<\/strong><\/p>\n Arctera\u2019s State of AI Governance 2026 report finds that 78% of organizations using AI expect communications risk to increase, while fewer than one in five can prove that their governance controls are working. The research points to a widening gap between AI adoption and auditability, with many teams struggling to demonstrate consistent oversight across communications, retention, legal hold, and risk workflows as AI becomes more embedded in daily operations.<\/p>\n Read on for more\u2192 Arctera state of AI governance 2026<\/span><\/a><\/p>\n Cinchy Launches PeriMind To Help Enterprises Build A Governed Data Layer For AI<\/strong><\/p>\n Cinchy has introduced PeriMind, a governed data layer designed to give AI systems cleaner, better-connected business context. The product is aimed at helping enterprises reduce the chaos of fragmented data, improve how AI agents reason over enterprise information, and enforce governance around the data that feeds model outputs and workflows.<\/p>\n Read on for more\u2192 Cinchy launches PeriMind<\/span><\/a><\/p>\n DataCamp Launches Learning Collaboration With Google Cloud To Expand Cloud And AI Skills<\/strong><\/p>\n DataCamp\u2019s new collaboration with Google Cloud is aimed at helping learners and teams build practical Google Cloud skills through hands-on training. The partnership extends DataCamp\u2019s cloud curriculum with role-based learning paths that support practitioners modernizing applications, securing cloud environments, and preparing for AI and data engineering work on Google Cloud.<\/p>\n Read on for more\u2192 DataCamp launches learning collaboration with Google Cloud<\/span><\/a><\/p>\n Fluree Launches Fluree AI To Turn Data Silos Into Institutional Memory For Agents<\/strong><\/p>\n Fluree has introduced Fluree AI, positioning it as a way to convert fragmented enterprise data into institutional memory that AI agents can trust. The platform uses graph-based context, source-cited knowledge, and governance features to ground copilots, search, and agents in verified information, reducing hallucinations and giving enterprises a traceable way to connect AI outputs back to their underlying data sources.finance.<\/span><\/span><\/span><\/span><\/span><\/p>\n Read on for more\u2192 Fluree launches Fluree AI to transform data siloes into institutional memory<\/span><\/a><\/p>\n Liquibase Expands Its Global Partner Ecosystem As AI Exposes The Database Delivery Gap<\/strong><\/p>\n Liquibase is growing its global partner ecosystem to help enterprises close the database delivery gap that becomes more visible as AI adoption accelerates. The company\u2019s message is that schema changes, deployment consistency, and release governance need to keep up with the pace of AI-driven development, especially in organizations that are scaling many databases and release pipelines at once.<\/p>\n Read on for more\u2192 Liquibase expands global partner ecosystem as AI exposes the database delivery gap<\/span><\/a><\/p>\n Prismatic Adds Large Data Sync Support To Make Embedded Integration More Reliable At Scale<\/strong><\/p>\n Prismatic has added support for large data sync, improving how embedded integration workflows handle higher-volume data movement. The update is aimed at software companies that need to keep integrations performant and reliable as customer datasets grow, reducing failures and improving synchronization across operational systems.<\/p>\n Read on for more\u2192 Large data sync<\/span><\/a><\/p>\n Redgate Introduces A Database Change Control Layer To Support Enterprises Scaling AI<\/strong><\/p>\n Redgate has launched a database change control layer designed to help enterprises manage schema changes more safely as AI increases the pace of software delivery. The product focuses on governance, visibility, and repeatability in database change management, helping teams prevent drift and reduce the risk of breaking production environments while supporting faster AI-era development cycles.<\/p>\n Read on for more\u2192 Redgate introduces database change control layer to support enterprises scaling AI<\/span><\/a><\/p>\n Yugabyte Quantifies The Hidden Cost Of Legacy Database Architectures<\/strong><\/p>\n Yugabyte\u2019s latest study puts hard numbers on the operational and financial drag of legacy database architectures. The report finds that distributed PostgreSQL can materially reduce downtime exposure and infrastructure costs, reinforcing the idea that database modernization is now a strategic lever for AI-era applications that need resilience, scale, and lower total cost of ownership.<\/p>\n Read on for more\u2192 Yugabyte study quantifies the hidden cost of legacy database architectures<\/span><\/a><\/p>\n Thought Leaders: Stop Buying AI: Start Buying Decisions by Samir Sharma<\/strong><\/p>\n Nobody questions that AI matters. Where I think boards are falling short is much simpler than that, and it\u2019s a question I\u2019ve started asking directly in the room: is this investment going to change how we make decisions, or is it just more technology sitting on top of the technology we already have?<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n Thought Leaders: Harnessing Unstructured Data for Agentic AI: A 3-Stage Maturity Model by Kevin Petrie<\/strong><\/p>\n Everyone knows context is king in the world of agentic AI. What needs more attention is the pivotal role of unstructured data in building the context that really differentiates your organization. Most AI adopters remain immature in this area. They struggle to organize and consume their proprietary documents, emails, and images.<\/span>\u00a0<\/span><\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n –<\/p>\n Mini Jam Q2, 2026: <\/i>AI in Practice: How L&D Are Actually<\/em> Changing Broadcasts June 25-26<\/b><\/p>\n AI\u00a0is quickly moving from experimentation to operational reality across education, workforce development, and practitioner\u00a0learning environments. What began as a conversation around tools has evolved into a much\u00a0larger\u00a0transformation\u00a0involving\u00a0skills<\/a><\/strong>, implementation strategies, institutional design, and\u00a0the future structure of learning itself<\/a><\/strong>. All-in, Mini Jam Q2, 2026 provides an unparalleled opportunity to gain insights, engage with experts, and stay at the forefront of the conversation on the human impact of AI on education.<\/span><\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n Solutions Review<\/em> Announces New EdTech Site on the Future of Work and Learning<\/strong><\/p>\n The site will provide\u00a0ongoing editorial<\/a><\/strong>,\u00a0expert thought leadership<\/a><\/strong>, research-driven analysis on\u00a0the state of EdTech<\/a><\/strong>, and awards programming through\u00a0Mesh Awards<\/a><\/strong>\u00a0to cover fully this transformation.\u00a0Solutions Review<\/em>\u00a0EdTech<\/a><\/strong>\u00a0will also house\u00a0information gain<\/a><\/strong>\u00a0from\u00a0quarterly virtual events<\/a><\/strong>,\u00a0expert panels<\/a><\/strong>,\u00a0podcasts<\/a><\/strong>, and more from its sister brand\u00a0Insight Jam<\/em>\u00a0(1M+ on YouTube<\/a><\/strong>), the\u00a0home for the human conversation<\/a><\/strong>.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n We Didn’t Build Solutions Review for AI, We Built it for Buyers by Tim King<\/strong><\/p>\n A nuclear bomb has been exploded in not only digital marketing, but enterprise tech buying. Buyers increasingly discover information through AI search and their favorite GenAI bot, social media platforms like LinkedIn, and synthesized answers rather than lists of blue links. Visibility still matters, but the question is evolving from \u201cCan you rank?\u201d to \u201cCan you be\u00a0anchored as trusted a source<\/a><\/strong>?\u201d<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n Insight Jam’s <\/em>Mesh Lab Episode 5 Now Available: Human-Centered Environments<\/strong><\/p>\n The conversation shifts beyond standard pedagogy to address the existential crisis facing students and workers as AI disrupts traditional ideas of productivity and purpose. Panelists emphasize the urgent need to stop measuring final outputs and instead focus on the creative, collaborative process of learning. Ultimately, the group argues that to foster uniquely human skills like adaptability in students, educators must first be granted the autonomy to exercise those exact same skills.<\/p>\n Watch on Insight Jam<\/em><\/a><\/p>\n Solutions Review <\/i>Surpasses 250K on YouTube to Power Unmatched Media Momentum in Enterprise Tech & the Human Impact of AI<\/b><\/p>\n Solutions Review<\/em>\u00a0has officially surpassed\u00a0250,000 subscribers on YouTube<\/a><\/strong>, a milestone that\u2019s about more than just the number. This moment marks the payoff of a deliberate, two-year strategy\u00a0centered on authoritative video<\/a><\/strong>,\u00a0human-led insight<\/a><\/strong>, and an early recognition of how AI search engines ingest information, assign trust, and surface sources at scale.<\/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>\n Sign up now to get a weekly debrief of the latest human-centric news, insights, and commentary coming out of this emerging discussion.<\/span><\/p>\nTop Data Management News for the Week Ending July 24,<\/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>\n