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Accelerating Enterprise AI: From Complexity to Competitive Advantage

Accelerating Enterprise AI: From Complexity to Competitive Advantage

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Enterprise AI is moving quickly from experimentation to production—but many IT leaders are discovering that “doing AI” is not a single technology decision. Modern AI stacks span data, infrastructure, software, security, and operations, and they often involve multiple internal teams plus an expanding ecosystem of vendors. Without a clear plan, organizations can underestimate the integration effort required and struggle to translate pilots into repeatable outcomes.

A successful AI strategy typically rests on two pillars: a programmatic process that aligns stakeholders and prioritizes high-value use cases, and an architectural foundation that integrates hardware, software, and data in a way that can scale. Futurum Research notes that organizations without a formal AI roadmap are more likely to report minimal returns from early AI pilots—reinforcing the importance of structure, governance, and a cohesive plan from the outset.

In the latest market brief, Accelerating Enterprise AI: From Complexity to Competitive Advantage—completed in partnership with Dell Technologies—Futurum Research examines why enterprise AI can feel complex, and how an integrated approach can help simplify deployment and accelerate time-to-value. The report highlights Dell’s “AI Factory” framing, outlines key components of an end-to-end AI approach (use cases, infrastructure, data, services, and ecosystem), and shares customer examples that illustrate how organizations can operationalize AI more effectively.

In this brief, you will learn:
  • Why enterprise AI initiatives often stall between pilots and production—and what to do differently
  • How a programmatic AI lifecycle approach helps prioritize high-value use cases and maintain business alignment
  • The core elements of an integrated AI architecture (data, infrastructure, software, services, and partners)
  • How expert services can support strategy, implementation, and long-term management and scaling
  • Real-world examples of organizations using AI platforms to drive efficiency, security, and measurable outcomes
If you are interested in learning more, be sure to download your copy of Accelerating Enterprise AI: From Complexity to Competitive Advantage today.

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Author Information

Keith Kirkpatrick is VP & Research Director, Enterprise Software & Digital Workflows for The Futurum Group. Keith has over 25 years of experience in research, marketing, and consulting-based fields.

He has authored in-depth reports and market forecast studies covering artificial intelligence, biometrics, data analytics, robotics, high performance computing, and quantum computing, with a specific focus on the use of these technologies within large enterprise organizations and SMBs. He has also established strong working relationships with the international technology vendor community and is a frequent speaker at industry conferences and events.

In his career as a financial and technology journalist he has written for national and trade publications, including BusinessWeek, CNBC.com, Investment Dealers’ Digest, The Red Herring, The Communications of the ACM, and Mobile Computing & Communications, among others.

He is a member of the Association of Independent Information Professionals (AIIP).

Keith holds dual Bachelor of Arts degrees in Magazine Journalism and Sociology from Syracuse University.

Daniel is the CEO of The Futurum Group. Living his life at the intersection of people and technology, Daniel works with the world’s largest technology brands exploring Digital Transformation and how it is influencing the enterprise.

From the leading edge of AI to global technology policy, Daniel makes the connections between business, people and tech that are required for companies to benefit most from their technology investments. Daniel is a top 5 globally ranked industry analyst and his ideas are regularly cited or shared in television appearances by CNBC, Bloomberg, Wall Street Journal and hundreds of other sites around the world.

A 7x Best-Selling Author including his most recent book “Human/Machine.” Daniel is also a Forbes and MarketWatch (Dow Jones) contributor.

An MBA and Former Graduate Adjunct Faculty, Daniel is an Austin Texas transplant after 40 years in Chicago. His speaking takes him around the world each year as he shares his vision of the role technology will play in our future.

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