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    <description>Enterprise data is the lifeblood of business. No endeavor, whether a simple order-to-cash process or a complex, agentic AI solution, can survive without timely access to accurate, high-quality, secure, and governed data. As we move into 2026, the market is pivoting from experimentation to engineering, demanding a stack that is not just “AI-ready” but explicitly architected to accelerate AI.</description>
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      <title>NetApp Q1 FY 2027: AI-Ready Storage Drives Enterprise Momentum</title>
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      <description>Futurum Research analyzes NetApp’s Q1 FY 2027 earnings, focusing on AI data infrastructure, hybrid cloud demand, and migration momentum.</description>
      <pubDate>Fri, 04 Sep 2026 13:30:42 GMT</pubDate>
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      <title>Hitachi Bets on Grid-to-AI Stack as Physical Infrastructure Play</title>
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      <description>Hitachi pairs sustainable insulating gas production in Germany with HMAX Physical AI expansion, positioning itself to capitalize on enterprise AI investment tied to reliable power infrastructure.</description>
      <pubDate>Fri, 04 Sep 2026 12:12:34 GMT</pubDate>
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      <pubDate>Thu, 03 Sep 2026 13:22:05 GMT</pubDate>
      <dc:creator>Brad Shimmin</dc:creator>
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      <description>In its latest report, Escaping Data Gravity and Infrastructure Debt , completed in partnership with Google Cloud, Futurum Research examines how decoupled data architectures are driving up costs and operational overhead for enterprise AI, and how a natively integrated, serverless data cloud helps…</description>
      <pubDate>Wed, 02 Sep 2026 13:35:03 GMT</pubDate>
      <dc:creator>Brad Shimmin</dc:creator>
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      <title>Autonomy Over Analytics: The Read-Write Decree Rewiring Enterprise Data Platforms</title>
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      <description>Brad Shimmin, VP &amp; Practice Lead at Futurum, reveals findings from the new Data Intelligence Platforms Signal report, highlighting how read-write AI agents and transactional execution realigned competitive market standings.</description>
      <pubDate>Fri, 28 Aug 2026 16:26:05 GMT</pubDate>
      <dc:creator>Brad Shimmin</dc:creator>
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      <title>Autonomy Over Analytics: The Read-Write Decree Rewiring Enterprise Data Platforms</title>
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      <description>Brad Shimmin, VP &amp; Practice Lead at Futurum, reveals findings from the new Data Intelligence Platforms Signal report, highlighting how read-write AI agents and transactional execution realigned competitive market standings.</description>
      <pubDate>Fri, 28 Aug 2026 16:22:48 GMT</pubDate>
      <dc:creator>Brad Shimmin</dc:creator>
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      <title>Nasuni Acquires DryvIQ to Bring AI-Ready Data Governance</title>
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      <description>Alastair Cooke, analyst at Futurum, shares his insights on why Nasuni acquires DryvIQ and what the deal means for AI data governance and file platform consolidation.</description>
      <pubDate>Fri, 28 Aug 2026 15:15:23 GMT</pubDate>
      <dc:creator>Alastair Cooke</dc:creator>
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      <category>data governance</category>
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      <title>In-Process Analytics Goes Hyperscale: Inside the AWS DuckLabs Acqui-Hire</title>
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      <description>AWS acquires DuckLabs to embed DuckDB’s in-process OLAP engine natively into Amazon S3 storage, challenging data warehouse economics while keeping open-source governance independent.</description>
      <pubDate>Fri, 28 Aug 2026 14:15:38 GMT</pubDate>
      <dc:creator>Brad Shimmin</dc:creator>
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      <category>Amazon S3</category>
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      <category>data architecture</category>
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      <title>ScyllaDB’s Rust Driver Delivers 58% Throughput Gain for DynamoDB Users</title>
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      <description>ScyllaDB released an open-source Rust driver for its DynamoDB-compatible Alternator API, achieving 58% higher throughput than AWS SDK on 3-node clusters. The driver maintains full API compatibility while enabling cluster-aware load balancing.</description>
      <pubDate>Fri, 28 Aug 2026 12:18:03 GMT</pubDate>
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      <title>Salesforce Q2 FY 2027: Can Agentforce Drive Revenue Reacceleration?</title>
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      <description>Futurum Research analyzes Salesforce’s Q2 FY 2027 earnings, focusing on AI and data momentum, Agentforce adoption, Anthropic partnership expansion, and FY 2027 guidance.</description>
      <pubDate>Thu, 27 Aug 2026 15:25:45 GMT</pubDate>
      <category>Insight</category>
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      <category>Agentforce</category>
      <category>AI</category>
      <category>Anthropic</category>
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      <title>Operationalizing Autonomous AI: Architecting the Agentic Enterprise on a Converged Data Foundation</title>
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      <description>In its latest report, Operationalizing Autonomous AI: Architecting the Agentic Enterprise on a Converged Data Foundation, completed in partnership with Snowflake, Futurum Research examines why enterprises must move beyond bolted-on AI applications and adopt a natively governed, multi-cloud data…</description>
      <pubDate>Thu, 27 Aug 2026 14:00:58 GMT</pubDate>
      <dc:creator>Brad Shimmin</dc:creator>
      <category>Research Report</category>
      <category>AI Platforms</category>
      <category>Data Intelligence</category>
      <category>Agentic AI</category>
      <category>AI</category>
      <category>Apache Iceberg</category>
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      <title>AI Maps Cancer’s Hidden States to Predict Winning Drug Combos</title>
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      <description>AI algorithms identified ultraconserved cancer cell states across patients and predicted synergistic drug combinations with ~90% accuracy, challenging assumptions about tumor heterogeneity.</description>
      <pubDate>Wed, 26 Aug 2026 12:15:17 GMT</pubDate>
      <category>Insight</category>
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      <category>AI</category>
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      <title>Can One Database Replace Three? Sprig’s ScyllaDB Bet Says Yes</title>
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      <description>Sprig replaced Postgres, ClickHouse, and Redis with ScyllaDB, achieving 4-8x better latency while processing 1.3 trillion events. The consolidation illustrates how enterprises are simplifying complex database stacks to manage explosive data growth.</description>
      <pubDate>Tue, 25 Aug 2026 12:15:31 GMT</pubDate>
      <category>Insight</category>
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      <title>Autonomous Agents Rewrite the Rules for Data Intelligence Platforms</title>
      <link>https://preview.erikbethke.com/press-release/autonomous-agents-rewrite-the-rules-for-data-intelligence-platforms/</link>
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      <description>Brad Shimmin, VP &amp; Practice Lead at Futurum, reveals findings from the new Data Intelligence Platforms Signal report, highlighting how read-write AI agents and transactional execution realigned competitive market standings.</description>
      <pubDate>Mon, 24 Aug 2026 15:00:25 GMT</pubDate>
      <dc:creator>Brad Shimmin</dc:creator>
      <category>Press Release</category>
      <category>Data Intelligence</category>
      <category>Agentic AI</category>
      <category>Data Intelligence Platforms</category>
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      <title>Cloudera Anywhere Cloud Targets Hybrid AI Complexity With In-Place Execution</title>
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      <description>Brad Shimmin analyzes Cloudera Anywhere Cloud, examining how modular blueprints, Apache Iceberg, and zero-copy lakehouse architectures resolve data gravity and MLOps bottlenecks across hybrid enterprise AI estates.</description>
      <pubDate>Fri, 21 Aug 2026 14:16:32 GMT</pubDate>
      <dc:creator>Brad Shimmin</dc:creator>
      <category>Insight</category>
      <category>AI Platforms</category>
      <category>Data Intelligence</category>
      <category>Cloud &amp; Infrastructure</category>
      <category>Agentic AI</category>
      <category>Apache Iceberg</category>
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      <category>Cloudera</category>
      <category>Cloudera Anywhere Cloud</category>
      <category>data governance</category>
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      <category>Enterprise AI</category>
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      <title>Data Intelligence Platforms – Futurum Signal</title>
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      <description>The Data Intelligence Platform market is undergoing its most consequential shift since the move to cloud data warehousing, as enterprise AI matures from read-only copilots into read-write autonomous agents that plan, negotiate, and execute transactions across business systems without continuous…</description>
      <pubDate>Wed, 19 Aug 2026 15:00:37 GMT</pubDate>
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      <category>AWS</category>
      <category>Cloudera</category>
      <category>Collibra</category>
      <category>Databricks</category>
      <category>Dataiku</category>
      <category>Fivetran + dbt Labs</category>
      <category>google</category>
      <category>IBM</category>
      <category>Microsoft</category>
      <category>Oracle</category>
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      <title>AWS and the End of the Naive Agent: Collapsing the Semantic Divide</title>
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      <description>Brad Shimmin, Vice President and Practice Lead at Futurum, shares his insights on how AWS Context moves beyond basic RAG to deliver a governed, open-format knowledge graph that provides autonomous systems with the mathematical truth they desperately need.</description>
      <pubDate>Wed, 19 Aug 2026 14:06:50 GMT</pubDate>
      <dc:creator>Brad Shimmin</dc:creator>
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    <item>
      <title>AWS and the End of the Naive Agent: Collapsing the Semantic Divide</title>
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      <description>Brad Shimmin, Vice President and Practice Lead at Futurum, shares his insights on how AWS Context moves beyond basic RAG to deliver a governed, open-format knowledge graph that provides autonomous systems with the mathematical truth they desperately need.</description>
      <pubDate>Tue, 18 Aug 2026 19:40:32 GMT</pubDate>
      <dc:creator>Brad Shimmin</dc:creator>
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    <item>
      <title>Runaway Token Costs Are Killing the Frontier AI Monolith</title>
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      <description>Futurum analyst Brad Shimmin breaks down the economic breaking point of cloud APIs and why enterprise AI is shifting to highly quantized, sovereign open-weights models.</description>
      <pubDate>Tue, 18 Aug 2026 13:36:38 GMT</pubDate>
      <dc:creator>Nick Patience, Brad Shimmin</dc:creator>
      <category>Insight</category>
      <category>AI Platforms</category>
      <category>Data Intelligence</category>
      <category>artificial intelligence</category>
      <category>data sovereignty</category>
      <category>Edge Compute</category>
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    <item>
      <title>Strategy’s $282M Capital Move Signals AI-Era Balance Sheet Confidence</title>
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      <description>Strategy’s coordinated $282M capital action—combining a $150M reserve increase with a $132M STRC repurchase—demonstrates deliberate balance sheet management aligned with surging enterprise generative AI investment priorities.</description>
      <pubDate>Tue, 18 Aug 2026 12:15:53 GMT</pubDate>
      <category>Insight</category>
      <category>AI Platforms</category>
      <category>Data Intelligence</category>
      <category>Enterprise Software</category>
      <category>AI Platforms</category>
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    <item>
      <title>Jacobs Secures $750 Million Utah Water Infrastructure Project: What It Means</title>
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      <description>Jacobs Solutions won a $750 million contract to lead Utah’s Strawberry High Line Canal program, showcasing its expertise in complex water infrastructure projects enhanced by AI and digital engineering.</description>
      <pubDate>Wed, 12 Aug 2026 12:17:32 GMT</pubDate>
      <category>Insight</category>
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      <category>Software Lifecycle Engineering</category>
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      <title>Charting the Rise of the Revenue-Driven Data Team: ‘New Business Opportunities’ Become the Fastest-Growing Priority for 2026</title>
      <link>https://preview.erikbethke.com/press-release/charting-the-rise-of-the-revenue-driven-data-team-new-business-opportunities-become-the-fastest-growing-priority-for-2026/</link>
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      <description>Futurum’s Brad Shimmin, VP of Data Intelligence, Analytics &amp; Infrastructure, notes a shift in 1H 2026: building AI capabilities (-5.6 pts) and trust in data (-6.5 pts) fell as top data team objectives, while execution goals surged.</description>
      <pubDate>Mon, 10 Aug 2026 13:30:27 GMT</pubDate>
      <dc:creator>Brad Shimmin</dc:creator>
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      <title>The End of Token Maxing: Why Pragmatic AI Engineering is Replacing Frontier Models</title>
      <link>https://preview.erikbethke.com/insights/the-end-of-token-maxing-why-pragmatic-ai-engineering-is-replacing-frontier-models/</link>
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      <description>Futurum analysts Brad Shimmin and Guy Currier discuss how Tokenomics and AI FinOps are forcing enterprises to abandon massive frontier models in favor of smaller, domain-specific AI endpoints governed by strict agent control planes. Utilizing AI – Ep.</description>
      <pubDate>Mon, 10 Aug 2026 13:15:54 GMT</pubDate>
      <dc:creator>Brad Shimmin, Guy Currier, Stephen Foskett</dc:creator>
      <category>Insight</category>
      <category>AI Platforms</category>
      <category>Data Intelligence</category>
      <category>Software Lifecycle Engineering</category>
      <category>Agentic Models</category>
      <category>AI engineering</category>
      <category>AI FinOps</category>
      <category>DeepSeek</category>
      <category>generative AI</category>
      <category>Muse Spark</category>
      <category>open-weight models</category>
      <category>OpenRouter</category>
      <category>Tokenomics</category>
    </item>
    <item>
      <title>Active Storage Takes Over: AWS DynamoDB Adds Native Vector Search for Agentic AI</title>
      <link>https://preview.erikbethke.com/insights/active-storage-takes-over-aws-dynamodb-adds-native-vector-search-for-agentic-ai/</link>
      <guid isPermaLink="true">https://preview.erikbethke.com/insights/active-storage-takes-over-aws-dynamodb-adds-native-vector-search-for-agentic-ai/</guid>
      <description>Brad Shimmin, VP at Futurum, analyzes the launch of native vector search in AWS DynamoDB. By embedding semantic retrieval directly into its serverless operational database, AWS eliminates fragile AI data pipelines and challenges standalone vector DBs.</description>
      <pubDate>Fri, 07 Aug 2026 16:45:19 GMT</pubDate>
      <dc:creator>Brad Shimmin</dc:creator>
      <category>Insight</category>
      <category>AI Platforms</category>
      <category>Data Intelligence</category>
      <category>Cloud &amp; Infrastructure</category>
      <category>Active Storage</category>
      <category>Agentic AI</category>
      <category>Amazon Web Services</category>
      <category>AWS</category>
      <category>DynamoDB</category>
      <category>generative AI</category>
      <category>Serverless Database</category>
      <category>vector database</category>
      <category>vector search</category>
    </item>
    <item>
      <title>Teradata Q2 FY 2026: Hybrid AI Strategy Gains Enterprise Traction</title>
      <link>https://preview.erikbethke.com/insights/teradata-q2-fy-2026-hybrid-ai-strategy-gains-enterprise-traction/</link>
      <guid isPermaLink="true">https://preview.erikbethke.com/insights/teradata-q2-fy-2026-hybrid-ai-strategy-gains-enterprise-traction/</guid>
      <description>Futurum Research analyzes Teradata’s Q2 FY 2026 earnings, focusing on hybrid AI, Teradata Factory, AI Studio, and guidance.</description>
      <pubDate>Fri, 07 Aug 2026 12:30:30 GMT</pubDate>
      <category>Insight</category>
      <category>AI Platforms</category>
      <category>Data Intelligence</category>
      <category>Enterprise Software</category>
      <category>Cloud &amp; Infrastructure</category>
      <category>Agentic AI</category>
      <category>AI</category>
      <category>AI Studio</category>
      <category>ARR</category>
      <category>data analytics</category>
      <category>data platforms</category>
      <category>Earnings</category>
      <category>Hybrid Cloud</category>
      <category>Teradata</category>
      <category>Teradata Factory</category>
    </item>
    <item>
      <title>SK hynix’s 54 Trillion Won Investment: A Bold Move for AI Memory Dominance</title>
      <link>https://preview.erikbethke.com/insights/sk-hynixs-54-trillion-won-investment-a-bold-move-for-ai-memory-dominance/</link>
      <guid isPermaLink="true">https://preview.erikbethke.com/insights/sk-hynixs-54-trillion-won-investment-a-bold-move-for-ai-memory-dominance/</guid>
      <description>SK Hynix announces a massive 54 trillion won investment in AI memory production facilities, positioning itself at the center of the data intelligence supercycle as enterprise AI spending accelerates globally.</description>
      <pubDate>Fri, 07 Aug 2026 12:17:46 GMT</pubDate>
      <category>Insight</category>
      <category>AI Platforms</category>
      <category>Semiconductors</category>
      <category>Data Intelligence</category>
      <category>AI</category>
      <category>data intelligence</category>
      <category>enterprise technology</category>
      <category>Infrastructure</category>
      <category>semiconductors</category>
    </item>
    <item>
      <title>Backblaze Q2 FY 2026: CoreWeave Deal Strengthens AI Storage Position</title>
      <link>https://preview.erikbethke.com/insights/backblaze-q2-fy-2026-coreweave-deal-strengthens-ai-storage-position/</link>
      <guid isPermaLink="true">https://preview.erikbethke.com/insights/backblaze-q2-fy-2026-coreweave-deal-strengthens-ai-storage-position/</guid>
      <description>Brad Shimmin and Brendan Burke, analysts at Futurum, review Backblaze’s Q2 FY 2026 earnings, focusing on B2 Cloud Storage growth, AI infrastructure demand, and the CoreWeave agreement.</description>
      <pubDate>Wed, 05 Aug 2026 13:49:21 GMT</pubDate>
      <dc:creator>Brendan Burke, Brad Shimmin</dc:creator>
      <category>Insight</category>
      <category>Semiconductors</category>
      <category>Data Intelligence</category>
      <category>Cloud &amp; Infrastructure</category>
      <category>AI infrastructure</category>
      <category>B2 Cloud Storage</category>
      <category>Backblaze</category>
      <category>cloud storage</category>
      <category>CoreWeave</category>
      <category>Earnings</category>
      <category>neocloud</category>
      <category>object storage</category>
    </item>
    <item>
      <title>Can Databricks Bridge the Context Gap in Agentic AI Deployments?</title>
      <link>https://preview.erikbethke.com/insights/can-databricks-bridge-the-context-gap-in-agentic-ai-deployments/</link>
      <guid isPermaLink="true">https://preview.erikbethke.com/insights/can-databricks-bridge-the-context-gap-in-agentic-ai-deployments/</guid>
      <description>Enterprise agentic AI investment is accelerating, yet ROI remains elusive without proper data context. Impetus Technologies addresses this critical gap through Leap™ AI Solutions, targeting the $541B Data Intelligence market opportunity.</description>
      <pubDate>Wed, 05 Aug 2026 12:17:28 GMT</pubDate>
      <category>Insight</category>
      <category>AI Platforms</category>
      <category>Data Intelligence</category>
      <category>Enterprise Software</category>
      <category>AI Platforms</category>
      <category>Data Intelligence, Analytics, &amp; Infrastructure</category>
      <category>Enterprise Software &amp; Digital Workflows</category>
    </item>
    <item>
      <title>SK hynix’s HBF Technology: A Major shift for AI Infrastructure?</title>
      <link>https://preview.erikbethke.com/insights/sk-hynixs-hbf-technology-a-major-shift-for-ai-infrastructure/</link>
      <guid isPermaLink="true">https://preview.erikbethke.com/insights/sk-hynixs-hbf-technology-a-major-shift-for-ai-infrastructure/</guid>
      <description>SK Hynix unveiled HBF specifications delivering 512GB capacity and 3TB/s bandwidth via UCIe interconnects, directly addressing the memory bottleneck constraining enterprise AI workloads as organizations prioritize generative AI investments.</description>
      <pubDate>Tue, 04 Aug 2026 12:13:50 GMT</pubDate>
      <category>Insight</category>
      <category>AI Platforms</category>
      <category>Semiconductors</category>
      <category>Data Intelligence</category>
      <category>AI</category>
      <category>data analytics</category>
      <category>enterprise software</category>
      <category>Infrastructure</category>
      <category>semiconductors</category>
    </item>
    <item>
      <title>The Data Foundation Problem: Why “Bring AI to Your Data” Beats the AI Data Lake</title>
      <link>https://preview.erikbethke.com/insights/the-data-foundation-problem-why-bring-ai-to-your-data-beats-the-ai-data-lake/</link>
      <guid isPermaLink="true">https://preview.erikbethke.com/insights/the-data-foundation-problem-why-bring-ai-to-your-data-beats-the-ai-data-lake/</guid>
      <description>OpenText’s Waqas Ahmed and Futurum’s Keith Kirkpatrick on why the fastest AI pilots fail for a data-governance reason nobody names in the demo. From Utilizing AI, “Trusted Data Foundations for AI Applications.”</description>
      <pubDate>Mon, 03 Aug 2026 14:26:21 GMT</pubDate>
      <dc:creator>Keith Kirkpatrick</dc:creator>
      <category>Insight</category>
      <category>Cybersecurity</category>
      <category>Data Intelligence</category>
      <category>Enterprise Software</category>
      <category>AI-adoption</category>
      <category>content management</category>
      <category>data governance</category>
      <category>Fortify</category>
      <category>Information Management</category>
      <category>knowledge graph</category>
      <category>OpenText</category>
      <category>Trusted AI</category>
      <category>unstructured data</category>
    </item>
    <item>
      <title>Real-Time ICU Bed Availability System: A Major shift for Healthcare Operations</title>
      <link>https://preview.erikbethke.com/insights/real-time-icu-bed-availability-system-a-major-shift-for-healthcare-operations/</link>
      <guid isPermaLink="true">https://preview.erikbethke.com/insights/real-time-icu-bed-availability-system-a-major-shift-for-healthcare-operations/</guid>
      <description>Prodyna’s AI-powered ICU bed availability system shows how observability transforms healthcare operations, illustrating systems integrators’ role in the $344B software lifecycle engineering market.</description>
      <pubDate>Sat, 01 Aug 2026 12:16:05 GMT</pubDate>
      <category>Insight</category>
      <category>Data Intelligence</category>
      <category>Enterprise Software</category>
      <category>Software Lifecycle Engineering</category>
      <category>AI Platforms</category>
      <category>Data Intelligence, Analytics, &amp; Infrastructure</category>
      <category>Enterprise Software &amp; Digital Workflows</category>
    </item>
    <item>
      <title>GenAI Workflow Benefit Drops 6pts as Docs, Automation, and Code Gains Rise</title>
      <link>https://preview.erikbethke.com/press-release/genai-workflow-benefit-drops-6pts-as-docs-automation-and-code-gains-rise/</link>
      <guid isPermaLink="true">https://preview.erikbethke.com/press-release/genai-workflow-benefit-drops-6pts-as-docs-automation-and-code-gains-rise/</guid>
      <description>Brad Shimmin, VP &amp; Practice Lead of Data Intelligence, Analytics &amp; Infrastructure, reveals GenAI workflow efficiency fell 6.0 points as a perceived benefit, while measurable tasks like documentation (+4.9), automation (+3.8), and code (+3.2) gained.</description>
      <pubDate>Thu, 18 Jun 2026 13:10:54 GMT</pubDate>
      <dc:creator>Brad Shimmin</dc:creator>
      <category>Press Release</category>
      <category>Data Intelligence</category>
      <category>AWS</category>
      <category>Databricks</category>
      <category>google</category>
      <category>Microsoft</category>
      <category>ServiceNow</category>
    </item>
    <item>
      <title>From Storage to Action: Why Autonomous AI Is Forcing a Database Revolution</title>
      <link>https://preview.erikbethke.com/press-release/from-storage-to-action-why-autonomous-ai-is-forcing-a-database-revolution/</link>
      <guid isPermaLink="true">https://preview.erikbethke.com/press-release/from-storage-to-action-why-autonomous-ai-is-forcing-a-database-revolution/</guid>
      <description>Brad Shimmin at Futurum shares his insights on how the shift to autonomous, read-write AI agents is forcing legacy databases to evolve. Discover why strong consistency, multi-tiered memory, and speculative branching are the new mandatory benchmarks.</description>
      <pubDate>Fri, 12 Jun 2026 13:31:33 GMT</pubDate>
      <dc:creator>Brad Shimmin</dc:creator>
      <category>Press Release</category>
      <category>Data Intelligence</category>
      <category>Agentic AI</category>
      <category>Database Infrastructure</category>
      <category>Databricks</category>
      <category>Oracle</category>
      <category>Redis</category>
    </item>
    <item>
      <title>Data Gravity in the Age of AI: Engineering the Mission-Critical Engine for Autonomous Workloads</title>
      <link>https://preview.erikbethke.com/research-reports/data-gravity-in-the-age-of-ai-engineering-the-mission-critical-engine-for-autonomous-workloads/</link>
      <guid isPermaLink="true">https://preview.erikbethke.com/research-reports/data-gravity-in-the-age-of-ai-engineering-the-mission-critical-engine-for-autonomous-workloads/</guid>
      <description>In our latest report, Data Gravity in the Age of AI: Engineering the Mission-Critical Engine for Autonomous Workloads, completed in partnership with Oracle, Futurum Research explores why fragmented data architectures are limiting enterprise AI progress and how Oracle AI Database 26ai provides a…</description>
      <pubDate>Thu, 11 Jun 2026 14:02:20 GMT</pubDate>
      <dc:creator>Brad Shimmin</dc:creator>
      <category>Research Report</category>
      <category>AI Platforms</category>
      <category>Data Intelligence</category>
      <category>Enterprise Software</category>
      <category>Agentic AI</category>
      <category>AI</category>
      <category>autonomous workloads</category>
      <category>Data Gravity</category>
      <category>data infrastructure</category>
      <category>Enterprise AI</category>
      <category>multicloud</category>
      <category>Oracle</category>
      <category>Oracle AI Database</category>
      <category>vector search</category>
    </item>
    <item>
      <title>41.3% of Enterprises Default to Cloud-Provider Catalogs as AI Infrastructure Choices Splinter Across Four Layers</title>
      <link>https://preview.erikbethke.com/press-release/enterprises-default-to-cloud-provider-catalogs-ai-infrastructure-choices-splinter/</link>
      <guid isPermaLink="true">https://preview.erikbethke.com/press-release/enterprises-default-to-cloud-provider-catalogs-ai-infrastructure-choices-splinter/</guid>
      <description>Futurum’s Brad Shimmin, VP of Data Intelligence, Analytics &amp; Infrastructure, notes AI infrastructure fragmented in 1H 2026. Cloud catalogs (41.3%), basic RAG (59.4%), and an even vector DB split reveal a market lacking architectural consensus.</description>
      <pubDate>Wed, 03 Jun 2026 14:00:46 GMT</pubDate>
      <dc:creator>Brad Shimmin</dc:creator>
      <category>Press Release</category>
      <category>Data Intelligence</category>
      <category>AI objectives</category>
      <category>data intelligence</category>
      <category>data teams</category>
      <category>DIAI survey</category>
      <category>execution</category>
    </item>
    <item>
      <title>The No-Compromise AI Foundation: Oracle Reimagines the Database for the Agentic Era</title>
      <link>https://preview.erikbethke.com/research-reports/the-no-compromise-ai-foundation-oracle-reimagines-the-database-for-the-agentic-era/</link>
      <guid isPermaLink="true">https://preview.erikbethke.com/research-reports/the-no-compromise-ai-foundation-oracle-reimagines-the-database-for-the-agentic-era/</guid>
      <description>In this report, completed in partnership with Oracle, Futurum Research examines why production-scale agentic AI requires a secure, converged, data-resident foundation built for real-time context, persistent memory, and open data portability.</description>
      <pubDate>Thu, 21 May 2026 13:23:53 GMT</pubDate>
      <dc:creator>Brad Shimmin</dc:creator>
      <category>Research Report</category>
      <category>AI Platforms</category>
      <category>Data Intelligence</category>
      <category>Agentic AI</category>
      <category>AI</category>
      <category>AI database</category>
      <category>Autonomous AI</category>
      <category>data architecture</category>
      <category>data intelligence</category>
      <category>Enterprise AI</category>
      <category>generative AI</category>
      <category>Oracle</category>
      <category>Oracle AI Database 26ai</category>
    </item>
    <item>
      <title>The Great Pragmatic Pivot: Why Enterprises Are Trading AI Vibes for Technical Receipts</title>
      <link>https://preview.erikbethke.com/press-release/the-great-pragmatic-pivot-why-enterprises-are-trading-ai-vibes-for-technical-receipts/</link>
      <guid isPermaLink="true">https://preview.erikbethke.com/press-release/the-great-pragmatic-pivot-why-enterprises-are-trading-ai-vibes-for-technical-receipts/</guid>
      <description>Brad Shimmin, Research Director at Futurum, reveals key findings from the 1H 2026 Data Intelligence survey, showing a move from broad AI hype to pragmatic technical task automation in documentation and coding.</description>
      <pubDate>Mon, 27 Apr 2026 14:15:13 GMT</pubDate>
      <dc:creator>Brad Shimmin</dc:creator>
      <category>Press Release</category>
      <category>Data Intelligence</category>
      <category>automation</category>
      <category>Brad Shimmin</category>
      <category>data intelligence</category>
      <category>Enterprise AI</category>
      <category>GenAI</category>
    </item>
    <item>
      <title>Gemini Enterprise: Governing and Scaling the Agentic Enterprise</title>
      <link>https://preview.erikbethke.com/research-reports/gemini-enterprise-governing-and-scaling-the-agentic-enterprise/</link>
      <guid isPermaLink="true">https://preview.erikbethke.com/research-reports/gemini-enterprise-governing-and-scaling-the-agentic-enterprise/</guid>
      <description>In our latest market report, Gemini Enterprise: Governing and Scaling the Agentic Enterprise, completed in partnership with Google Cloud, Futurum Research examines the operational, governance, and lifecycle requirements for scaling agentic AI in the enterprise and explores how Gemini Enterprise…</description>
      <pubDate>Thu, 23 Apr 2026 13:30:00 GMT</pubDate>
      <dc:creator>Nick Patience, Brad Shimmin</dc:creator>
      <category>Research Report</category>
      <category>AI Platforms</category>
      <category>Data Intelligence</category>
      <category>Enterprise Software</category>
      <category>agent platform</category>
      <category>Agentic AI</category>
      <category>AI</category>
      <category>Enterprise AI</category>
      <category>Gemini Enterprise</category>
      <category>Google Cloud</category>
      <category>governance</category>
      <category>Observability</category>
    </item>
    <item>
      <title>Enterprise Data Analytics Survey Finds 59% Investing in Semantic Layers as Critical AI Infrastructure</title>
      <link>https://preview.erikbethke.com/press-release/enterprise-data-analytics-survey-finds-59-investing-in-semantic-layers-as-critical-ai-infrastructure/</link>
      <guid isPermaLink="true">https://preview.erikbethke.com/press-release/enterprise-data-analytics-survey-finds-59-investing-in-semantic-layers-as-critical-ai-infrastructure/</guid>
      <description>Brad Shimmin, VP &amp; Practice Lead at Futurum, reveals that nearly 59% of organizations are directing incremental budget toward semantic layers as accuracy concerns dominate AI trust.</description>
      <pubDate>Mon, 30 Mar 2026 15:00:15 GMT</pubDate>
      <dc:creator>Brad Shimmin</dc:creator>
      <category>Press Release</category>
      <category>Data Intelligence</category>
      <category>Agentic AI</category>
      <category>AI infrastructure</category>
      <category>data management</category>
      <category>GenAI</category>
      <category>Semantic Layer</category>
    </item>
    <item>
      <title>The Foundation for Innovation: Why Architectural Integrity and Distributed Databases are Crucial for Scaling Mission-Critical, AI-Ready Applications</title>
      <link>https://preview.erikbethke.com/research-reports/why-architectural-integrity-and-distributed-databases-are-crucial/</link>
      <guid isPermaLink="true">https://preview.erikbethke.com/research-reports/why-architectural-integrity-and-distributed-databases-are-crucial/</guid>
      <description>In our latest report, The Foundation for Innovation: Why Architectural Integrity and Distributed Databases are Crucial for Scaling Mission-Critical, AI-Ready Applications, commissioned by Oracle, Futurum Research examines two contrasting approaches to distributed databases: the SQL-on-key-value…</description>
      <pubDate>Sun, 29 Mar 2026 22:44:52 GMT</pubDate>
      <category>Research Report</category>
      <category>AI Platforms</category>
      <category>Data Intelligence</category>
      <category>AI</category>
      <category>analytics</category>
      <category>architectural integrity</category>
      <category>CockroachDB</category>
      <category>data sovereignty</category>
      <category>distributed databases</category>
      <category>mission-critical applications</category>
      <category>Oracle</category>
    </item>
    <item>
      <title>Prioritizing Intent Over Movement: Semantic Layer Market to Hit 19% Growth Compared to 12% for Manual Engineering</title>
      <link>https://preview.erikbethke.com/press-release/prioritizing-intent-over-movement-semantic-layer-market-to-hit-19-growth/</link>
      <guid isPermaLink="true">https://preview.erikbethke.com/press-release/prioritizing-intent-over-movement-semantic-layer-market-to-hit-19-growth/</guid>
      <description>Brad Shimmin, VP and Practice Lead at Futurum, explores the release of the OSI v0.1 specification and why a standardized semantic layer is the non-negotiable foundation for driving 300% more accurate agentic AI.</description>
      <pubDate>Mon, 16 Mar 2026 14:45:44 GMT</pubDate>
      <dc:creator>Brad Shimmin</dc:creator>
      <category>Press Release</category>
      <category>Data Intelligence</category>
      <category>Software Lifecycle Engineering</category>
      <category>AI Accuracy</category>
      <category>Databricks</category>
      <category>OSI</category>
      <category>Semantic Layer</category>
    </item>
    <item>
      <title>Can a Database Truly Be a Genius? – IBM’s Shift Toward Agentic Autonomy</title>
      <link>https://preview.erikbethke.com/press-release/can-a-database-truly-be-a-genius-ibms-shift-toward-agentic-autonomy/</link>
      <guid isPermaLink="true">https://preview.erikbethke.com/press-release/can-a-database-truly-be-a-genius-ibms-shift-toward-agentic-autonomy/</guid>
      <description>Brad Shimmin, VP and Practice Lead at Futurum, explores IBM’s shift toward agentic autonomy. He analyzes how the new Db2 Genius Hub uses intent-driven reasoning to eliminate the “maintenance tax” for data professionals.</description>
      <pubDate>Tue, 10 Mar 2026 14:45:58 GMT</pubDate>
      <dc:creator>Brad Shimmin</dc:creator>
      <category>Press Release</category>
      <category>Data Intelligence</category>
      <category>Agentic AI</category>
      <category>data management</category>
      <category>database</category>
      <category>Db2 Genius Hub</category>
      <category>IBM</category>
    </item>
    <item>
      <title>The Open Lakehouse Imperative: Delivering AI Value Without Compromise</title>
      <link>https://preview.erikbethke.com/research-reports/the-open-lakehouse-imperative-delivering-ai-value-without-compromise/</link>
      <guid isPermaLink="true">https://preview.erikbethke.com/research-reports/the-open-lakehouse-imperative-delivering-ai-value-without-compromise/</guid>
      <description>In The Open Lakehouse Imperative: Delivering AI Value Without Compromise, a report commissioned by Oracle, Futurum Research explains why many lakehouse stacks still force tradeoffs—and what a truly open, multi-cloud, high-performance approach looks like for enterprise AI.</description>
      <pubDate>Fri, 27 Feb 2026 15:00:17 GMT</pubDate>
      <dc:creator>Brad Shimmin</dc:creator>
      <category>Research Report</category>
      <category>AI Platforms</category>
      <category>Data Intelligence</category>
      <category>Cloud &amp; Infrastructure</category>
      <category>AI</category>
      <category>Apache Iceberg</category>
      <category>autonomous database</category>
      <category>data governance</category>
      <category>Data Quality</category>
      <category>Exadata</category>
      <category>Hybrid Cloud</category>
      <category>Lakehouse</category>
      <category>multi-cloud</category>
      <category>Oracle</category>
      <category>RAG</category>
      <category>vector search</category>
    </item>
    <item>
      <title>Semantic Layer Set to Become the Next Piece of Critical Infrastructure</title>
      <link>https://preview.erikbethke.com/press-release/semantic-layer-set-to-become-the-next-piece-of-critical-infrastructure/</link>
      <guid isPermaLink="true">https://preview.erikbethke.com/press-release/semantic-layer-set-to-become-the-next-piece-of-critical-infrastructure/</guid>
      <description>Brad Shimmin, VP and Practice Lead at Futurum, details why the Semantic Layer is projected to double its growth to 30% by 2031, becoming the critical “dictionary” that prevents Agentic AI from hallucinating business metrics.</description>
      <pubDate>Wed, 25 Feb 2026 15:45:18 GMT</pubDate>
      <dc:creator>Brad Shimmin</dc:creator>
      <category>Press Release</category>
      <category>Data Intelligence</category>
      <category>Agentic AI</category>
      <category>Business Intelligence</category>
      <category>data infrastructure</category>
      <category>Metric Store</category>
      <category>Semantic Layer</category>
    </item>
    <item>
      <title>Quest Builds an Automated Factory to Manufacture Enterprise Trust in Data</title>
      <link>https://preview.erikbethke.com/press-release/quest-builds-an-automated-factory-to-manufacture-enterprise-trust-in-data/</link>
      <guid isPermaLink="true">https://preview.erikbethke.com/press-release/quest-builds-an-automated-factory-to-manufacture-enterprise-trust-in-data/</guid>
      <description>Brad Shimmin, Vice President &amp; Practice Lead, Data Intelligence, Analytics, and Infrastructure at Futurum, shares his insights on Quest Software’s new Trusted Data Management Platform.</description>
      <pubDate>Tue, 24 Feb 2026 15:45:05 GMT</pubDate>
      <dc:creator>Brad Shimmin</dc:creator>
      <category>Press Release</category>
      <category>Data Intelligence</category>
      <category>AI</category>
      <category>data governance</category>
      <category>data management</category>
      <category>Data Products</category>
      <category>Quest Software</category>
    </item>
    <item>
      <title>The Agentic Frontier: Why Converged Data Engines are the Optimal Foundation for Autonomous Enterprise AI</title>
      <link>https://preview.erikbethke.com/research-reports/the-agentic-frontier-why-converged-data-engines-are-the-optimal-foundation-for-autonomous-enterprise-ai/</link>
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      <description>In our latest report, The Agentic Frontier: Why Converged Data Engines are the Optimal Foundation for Autonomous Enterprise AI, commissioned by Oracle, Futurum Research examines why agentic AI is exposing the limits of fragmented “polyglot” data stacks—and how converged, multi-model database…</description>
      <pubDate>Fri, 20 Feb 2026 22:17:48 GMT</pubDate>
      <category>Research Report</category>
      <category>AI Platforms</category>
      <category>Data Intelligence</category>
      <category>ACID transactions</category>
      <category>Agentic AI</category>
      <category>consolidation</category>
      <category>data governance</category>
      <category>Database Architecture</category>
      <category>generative AI</category>
      <category>JSON</category>
      <category>MongoDB Atlas</category>
      <category>multi-model database</category>
      <category>Oracle Autonomous AI Database</category>
      <category>RAG</category>
      <category>vector search</category>
    </item>
    <item>
      <title>$1.2T Data Market by 2031: Agentic AI Replaces Data Pipelines</title>
      <link>https://preview.erikbethke.com/press-release/1-2t-data-market-by-2031-agentic-ai-replaces-data-pipelines/</link>
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      <description>Futurum Analyst Brad Shimmin forecasts the Data Intelligence market to surpass US$1.2T by 2031. The study reveals a capital rotation from legacy plumbing to “Agentic” control planes, driving 19%+ growth in Semantic Layer and Observability.</description>
      <pubDate>Fri, 23 Jan 2026 17:03:02 GMT</pubDate>
      <dc:creator>Brad Shimmin</dc:creator>
      <category>Press Release</category>
      <category>Data Intelligence</category>
      <category>Agentic AI</category>
      <category>data observability</category>
      <category>GenAI Infrastructure</category>
      <category>Market Forecast</category>
      <category>Semantic Layer</category>
    </item>
    <item>
      <title>Navigating the Shift to Production AI in 2026</title>
      <link>https://preview.erikbethke.com/press-release/navigating-the-shift-to-production-ai-in-2026/</link>
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      <description>Brad Shimmin, VP and Practice Lead at Futurum, analyzes the shift to production AI, predicting the rise of the “AI Shepherd,” the necessity of the Semantic Layer, and why the DIAI market is set to hit $475B in 2025.</description>
      <pubDate>Wed, 21 Jan 2026 15:29:25 GMT</pubDate>
      <dc:creator>Brad Shimmin</dc:creator>
      <category>Press Release</category>
      <category>Data Intelligence</category>
      <category>AI Shepherd</category>
      <category>Apache Iceberg</category>
      <category>Composable Stack</category>
      <category>FinOps</category>
      <category>Semantic Layer</category>
    </item>
    <item>
      <title>Modern Private Cloud: Balancing Operational Agility with Data Sovereignty</title>
      <link>https://preview.erikbethke.com/research-reports/modern-private-cloud-balancing-operational-agility-with-data-sovereignty/</link>
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      <description>In this Market Brief, Modern Private Cloud: Balancing Operational Agility with Data Sovereignty , Futurum Research explores why enterprises are rethinking public cloud-first strategies and how modern private cloud platforms enable sovereignty, resilience, and operational agility in an AI-driven…</description>
      <pubDate>Wed, 14 Jan 2026 16:30:41 GMT</pubDate>
      <dc:creator>Nick Patience</dc:creator>
      <category>Research Report</category>
      <category>AI Platforms</category>
      <category>Data Intelligence</category>
      <category>Cloud &amp; Infrastructure</category>
      <category>AI infrastructure</category>
      <category>Broadcom</category>
      <category>Cloud repatriation</category>
      <category>data sovereignty</category>
      <category>modern private cloud</category>
      <category>Private Cloud</category>
      <category>VMware Cloud Foundation</category>
    </item>
    <item>
      <title>The Semantic Layer Wars: Why BI Must Remain the Center of Gravity for Trusted AI</title>
      <link>https://preview.erikbethke.com/press-release/the-semantic-layer-wars-why-bi-must-remain-the-center-of-gravity-for-trusted-ai/</link>
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      <description>Brad Shimmin explains why the semantic layer is moving from dashboards to AI reasoning engines. Learn why BI teams are the essential Insight Engineers tasked with stopping AI hallucinations through governed data logic.</description>
      <pubDate>Mon, 22 Dec 2025 15:00:01 GMT</pubDate>
      <dc:creator>Brad Shimmin</dc:creator>
      <category>Press Release</category>
      <category>Data Intelligence</category>
      <category>Agentic AI</category>
      <category>Business Intelligence</category>
      <category>generative AI</category>
      <category>Microsoft</category>
      <category>Semantic Layer</category>
      <category>Snowflake</category>
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