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From Potential to Production: Enterprise AI with a Partner Ecosystem

From Potential to Production: Enterprise AI with a Partner Ecosystem

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Enterprises are racing to harness artificial intelligence, but many find their initiatives stuck in “pilot purgatory”—unable to move from small-scale experiments to production systems that deliver measurable business value. Fragmented infrastructure, data silos, security constraints, and skills gaps make it difficult to operationalize AI at scale and connect it to real-world outcomes.

To close this gap between AI ambition and reality, organizations need more than a single platform or product. They need a unified, enterprise-grade AI foundation combined with a curated ecosystem of specialized ISV partners that can bring AI and analytics to where the data lives, simplify integration across the AI lifecycle, and deliver domain-specific applications for critical use cases. A collaborative, ecosystem-first approach helps de-risk AI projects, reduce complexity, and accelerate time-to-value.

In our latest market brief, From Potential to Production: Accelerating Enterprise AI Through a Collaborative Partner Ecosystem, completed in partnership with Hewlett Packard Enterprise (HPE), Futurum Research explores how HPE’s Unleash AI program and HPE Private Cloud AI platform—paired with a growing network of ISV partners—help enterprises move AI from lab experiments into production, real-world deployments. The brief examines the obstacles holding organizations back and showcases cross-industry examples of how an ecosystem-driven model is delivering results in financial services, healthcare, retail, manufacturing, legal, government, and smart cities.

In this brief, you will learn:
  • How data gravity, integration complexity, and “last-mile” deployment challenges create a persistent gap between AI ambition and reality
  • Why a curated, interoperable partner ecosystem on a unified AI foundation is essential for de-risking AI investments and accelerating outcomes
  • How HPE and its ISV partners are delivering production-grade AI solutions for use cases like financial compliance, predictive patient monitoring, demand forecasting, digital twins, secure intelligence analysis, and smart city operations
  • Practical steps for building your own path to AI success using an ecosystem-first strategy that minimizes technical debt, avoids lock-in, and speeds time-to-value with HPE Unleash AI and HPE Private Cloud AI
If you are interested in learning more, be sure to download your copy of From Potential to Production: Accelerating Enterprise AI Through a Collaborative Partner Ecosystem today.

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Author Information

Nick Patience is VP and Practice Lead for AI Platforms at The Futurum Group. Nick is a thought leader on AI development, deployment, and adoption - an area he has researched for 25 years. Before Futurum, Nick was a Managing Analyst with S&P Global Market Intelligence, responsible 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 that 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.

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