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Solutions Review Executive Editor Tim King curated this list of notable data management news for the week of September 11, 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, education updates, 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 Akamai And MuleSoft Pair API Runtime Defense With Agent And MCP Governance<\/strong><\/p>\n Akamai and MuleSoft have expanded their technology collaboration to integrate Akamai API Security with MuleSoft Agent Fabric, combining API inventory and runtime threat intelligence with governance for APIs, MCP servers, agents, and AI interactions. The two-way integration synchronizes API specifications and environment data, detects discrepancies between design and live traffic, and feeds Akamai behavior analytics and risk scores into MuleSoft\u2019s control plane to help teams find shadow APIs and unmonitored MCP endpoints; it is available now and in use by more than 20 organizations.<\/p>\n Read on for more\u2192 Akamai and MuleSoft Unify Real-Time API Defense and AI Policy Control<\/span><\/a><\/span><\/p>\n Ataccama Gives AI Agents A Way To Validate Enterprise Data Quality Before Use<\/strong><\/p>\n Ataccama has introduced capabilities that let AI agents check whether data meets required quality thresholds before using it for analysis or automated actions. The approach is intended to extend data-quality controls into agentic workflows, helping enterprises prevent inaccurate, incomplete, or noncompliant data from shaping AI-generated decisions and outputs.<\/p>\n Read on for more\u2192 Ataccama Lets Agents Check If Data Is of a High Enough Quality<\/span><\/a><\/p>\n Cloudera Finds Manufacturing AI Programs Stalled By Governance And Workflow Gaps<\/strong><\/p>\n Cloudera\u2019s Data Readiness Index 2026 found that 20% of manufacturing organizations cite weak integration of AI and analytics into operational workflows as the leading reason initiatives fail to achieve expected ROI. Although 82% report visibility into where their data resides, only 58% say all or nearly all data is fully governed, exposing the challenge of applying AI across fragmented factory, supply-chain, enterprise, and edge data environments.<\/p>\n Read on for more\u2192 Manufacturing AI Initiatives Face Governance and Workflow Integration Challenges<\/span><\/a><\/span><\/p>\n NETSCOUT Launches Data Platform For AI-Driven Network Operations And Cost Control<\/strong><\/p>\n NETSCOUT has introduced a data platform designed to support AI-driven network operations by unifying operational network data for improved visibility, analysis, and automation. The platform aims to help IT and network teams manage growing data volumes, accelerate troubleshooting, and control the operational costs of adopting AI across complex enterprise infrastructure.<\/p>\n Read on for more\u2192 NETSCOUT Data Platform Transforms AI-Driven Network Operations and Controls Costs<\/span><\/a><\/p>\n Quantum Automates Data Placement To Cut Storage Costs And Improve AI Readiness<\/strong><\/p>\n Quantum has introduced Autonomous Data Management, a platform that analyzes enterprise data to identify inactive, duplicate, outdated, orphaned, and risk-sensitive content, then applies policy-driven automation to optimize placement and management across storage environments. The offering is designed to reclaim primary capacity, reduce storage and backup spending, lower exposure to sensitive data, and improve governance and availability as organizations retain growing data volumes for AI, analytics, and compliance.<\/p>\n Read on for more\u2192 Quantum Introduces Autonomous Data Management, Dramatically Reducing Storage Costs While Increasing Efficiency and Availability<\/span><\/a><\/span><\/p>\n Thought Leaders<\/em>: Intersystems Summit 2026: A Peek Into Converged AI Workloads by BARC’s Kevin Petrie<\/strong><\/p>\n InterSystems gets me excited for a few reasons. They are proud to be privately held, their AR team rocks, and President Don Woodlock shares my love of kayaking. But the most exciting part of their analyst summit last week was peeking into the world of converged workloads that will make or break the success of AI.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n Contributor Series: Leveraging Modern Data Strategies to Optimize University Websites by DMike McGetrick<\/strong><\/p>\n Higher education institutions have spent years adapting their outreach strategies to better connect with and address the needs of digital natives. Now, institutions are forced to navigate yet another generational shift: As Generation Alpha begins the college search process, institutions must improve how they attract what is being aptly referred to as the digitally immersed \u201cglass generation.\u201d AI and social media channels have surged as destinations to learn more about a college or university, but\u00a0an institution\u2019s own website remains the first place students and their parents visit<\/a>\u00a0to seek information.<\/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 September 11,<\/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