Inside DataRobot’s Enterprise Agentic Strategy
Nick Patience, VP & Practice Lead for AI Platforms at Futurum, examines DataRobot’s Chevron and Aon deployments and asks whether its agent workforce platform strategy is built to last.
Analyst
Nick Patience
Vice President & Practice Lead, AI Platforms
Nick is Vice President & Practice Lead, AI Platforms. He is a thought leader on the development, deployment and adoption of AI — an area he has been researching for 25 years. Prior to Futurum, Nick was a Managing Analyst with S&P Global Market Intelligence, with responsibility for 451 Research’s coverage of Data, AI, Analytics, Information Security and Risk. Nick became part of S&P Global through its 2019 acquisition of 451 Research, a pioneering analyst firm Nick co-founded in 1999. He is a sought-after speaker and advisor, known for his expertise in the drivers of AI adoption, industry use cases, and the infrastructure behind its development and deployment. Nick also spent three years as a product marketing lead at Recommind (now part of OpenText), a machine learning-driven eDiscovery software company. Nick is based in London.
Latest from Nick Patience
All work by Nick PatienceBeyond Raw Compute: Equinix’s Strategic Bet on AI Infrastructure
Nick Patience, VP & AI Platforms Practice Lead at The Futurum Group, examines Equinix Fabric One and Inference Exchange, and asks whether neutral infrastructure solves a problem enterprises have today or one they may have later.
OpenAI’s GPT-6 Astra: Benchmarks, Cyber Risks, and Market Impact
Nick Patience, VP and Practice Lead, AI Platforms at Futurum, shares his insights on GPT-6 Astra and what its cyber threshold and monitorability trade-offs mean for Anthropic and Google.
NVIDIA Nears $12.9B Deal for Hugging Face, Escalating AI Ecosystem Strategy
Nick Patience, VP & Practice Lead of AI Platforms at Futurum, shares his insights on NVIDIA’s reported $12.9 billion bid for Hugging Face and what it would mean for the future of open AI.
Google’s Vertical AI Bet: Governance Matters More Than Models
Nick Patience, VP & Practice Lead for AI Platforms at Futurum, examines Google Cloud’s new vertical AI platforms for legal and financial services, and asks whether governed connectors can finally close AI’s pilot-to-production gap.
Runaway Token Costs Are Killing the Frontier AI Monolith
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.
Who Decides Which Model Runs? NVIDIA Would Like a Say
Futurum’s AI Platforms practice examines NVIDIA Nemotron 3.5 Lightning and NeMo Switchyard.
Meta Reopens Its Models. Is This a PC Play or a Policy Play?
Nick Patience, VP and Practice Lead, AI Platforms at Futurum, examines Meta’s return to open weights with Muse Glimmer and what Mark Zuckerberg’s superintelligence letter reveals about the company’s real distribution strategy.
From Experimentation to Execution: Platform Engineering for Scalable Generative AI
In our latest thought leadership report, From Experimentation to Execution: Platform Engineering for GenAI, completed in partnership with Red Hat, Futurum Research covers why enterprise GenAI initiatives stall before reaching production and outlines the platform engineering practices organizations…
Inference Climbs to 71.7% of AI Platforms Infrastructure Spend by 2030
Nick Patience, VP & AI Practice Lead at Futurum, notes Managed inference hit 58.6% of AI platforms infrastructure in CY2025 and scales to 71.7% by CY2030, structurally inverting the 74/26 training split of CY2022.