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Author: Nick Patience

The AI-Powered Content Revolution Introduction to AI in Enterprise Cloud Content Management
Dion Hinchcliffe & Nick Patience

The AI-Powered Content Revolution: Introduction to AI in Enterprise Cloud Content Management

In our latest Market Brief, The AI-Powered Content Revolution, created in partnership with Egnyte, Futurum explores how AI is transforming cloud content management from static storage into a dynamic system of insight, automation, and compliance. The report offers guidance on how enterprises can deploy AI agents, streamline knowledge discovery, and future-proof their content operations.
Microsoft Embraces the Development Community on the Path to Agentic AI
Mitch Ashley
Mitch Ashley, Nick Patience & Keith Kirkpatrick
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Microsoft Embraces the Development Community on the Path to Agentic AI

At Microsoft Build 2025, AI Is Microsoft’s Future, and Developers Are at the Heart of the Agentic AI Revolution, Not Replaced by It
Analysts Mitch Ashley, Nick Patience, and Keith Kirkpatrick at Futurum share their insights on Microsoft Build 2025, revealing Microsoft's strategic pivot to agentic AI and its profound implications for the future of software development.
Snowflake Summit '25: Accelerating AI with Unified Data & Compute
Nick Patience
,

Snowflake Summit ’25: Accelerating AI with Unified Data & Compute

Snowflake Unveils Cortex AI Enhancements, OpenFlow for Interoperability, and Significant Compute Performance Upgrades, Aiming To Make AI More Accessible and Efficient for Enterprises
Nick Patience, AI Practice Lead at Futurum, shares his insights on Snowflake Summit 2025. Key announcements like Cortex AI, OpenFlow, and Adaptive Compute aim to accelerate enterprise AI by unifying data and enhancing compute efficiency.
Open Source vs. Proprietary AI: Revolution or Just Another Market Split? - Report Summary
Nick Patience

Open Source vs. Proprietary AI: Revolution or Just Another Market Split? – Report Summary

Nick Patience explores how open-source models from Meta, DeepSeek, and others challenge proprietary AI dominance, revealing a pragmatic enterprise split between open models for flexibility and proprietary for managed services.
C-Suite Executives Dominate AI Decision-Making as Strategy Becomes Priority
Nick Patience

C-Suite Executives Dominate AI Decision-Making as Strategy Becomes Priority

Nick Patience, VP & AI Practice Lead at Futurum, reveals CEOs and CTOs now drive 44.5% of AI decisions, showing a strategic shift from technology-first to business-first leadership in enterprise AI adoption.
IBM Think 2025 - Watsonx Platform Fuels Agentic AI and Hybrid Cloud Value
Brad Shimmin
Nick Patience & Brad Shimmin
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IBM Think 2025 – Watsonx Platform Fuels Agentic AI and Hybrid Cloud Value

Key Announcements Center on watsonx.orchestrate, watsonx.data, and Granite 4.0, as IBM Aims to Make AI Agents and Unstructured Data Pivotal for Enterprise Transformation
Nick Patience and Brad Shimmin, analysts at Futurum, share insights on IBM Think 2025, where IBM showcased advancements in its watsonx platform, focusing on IBM Agentic AI, unstructured data, and hybrid cloud to drive enterprise value.
OpenAI Windsurf Acquisition Sends Shot Heard Around the AI World
Mitch Ashley
Mitch Ashley & Nick Patience
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OpenAI Windsurf Acquisition Sends Shot Heard Around the AI World

OpenAI Is Positioned as a Major AI-Powered Software Development Company, Competing With Microsoft, GitHub, Anthropic, and Startup Cursor
Analysts Mitch Ashley, VP of DevOps and Application Development, and Nick Patience, VP of AI Software and Tools, at Futurum, share their insights on the implications of OpenAI’s agreement to acquire AI coding tool company Windsurf. The acquisition propels OpenAI forward in its quest for leadership in the AI coding and agent development market.
Organizations Face Triple Threat in Generative AI Privacy, Talent & Compliance
Nick Patience

Organizations Face Triple Threat in Generative AI: Privacy, Talent & Compliance

Nick Patience, VP & AI Practice Lead at The Futurum Group, reveals key findings from comprehensive Generative AI implementation research showing data privacy (48.1%), talent scarcity (44.2%), and regulatory compliance (41.0%) as the top barriers organizations face in 2025.
Can Writer's Self-Evolving Models Redefine How Enterprises Deploy AI?
Nick Patience

Can Writer’s Self-Evolving Models Redefine How Enterprises Deploy AI?

Nick Patience, VP & AI Practice Lead at The Futurum Group, analyzes Writer AI's innovative self-evolving models that adapt without retraining. This workflow-focused approach is challenging traditional AI implementation strategies while delivering significant ROI for enterprise customers in financial services, retail, and healthcare.
IBM's Q1 FY 2025 Results Backed by Automation and Hybrid Cloud
Nick Patience & Daniel Newman
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IBM Posts Strong Q1 FY 2025 Results, Backed by Automation and Hybrid Cloud

IBM’s Software Strength and AI Bookings Support Its Reaffirmed 2025 Guidance
Daniel Newman and Nick Patience of The Futurum Group break down IBM’s Q1 FY 2025 results, with a focus on software-led growth, expanding AI backlog, and strategic traction across hybrid cloud and automation.
Google Cloud Next 2025: The Yellow Brick Road to AI Transformation
Mitch Ashley
Alex Smith
Keith Townsend
Nick Patience, Keith Kirkpatrick, Mitch Ashley, Alex Smith & Keith Townsend
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Google Cloud Next 2025: The Yellow Brick Road to AI Transformation

Google’s AI Ambitions Expand Beyond the Cloud as It Builds an Interoperable Ecosystem for Agent Communication, Application Management, and On-Premises AI Deployment
Nick Patience, AI Practice Lead at The Futurum Group, shares his insights - along with those of colleagues - on Google’s Cloud Next 25 event, held last week in Las Vegas.
GenAI Drives Efficiency While Risk Management Lags in Enterprise Adoption
Nick Patience

GenAI Drives Efficiency While Risk Management Lags in Enterprise Adoption

Nick Patience, VP & AI Practice Lead at The Futurum Group, reveals operational efficiency (76%) leads Generative AI business impacts, while risk management (48%) shows caution, highlighting the need for strategic AI implementation planning.
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