In this episode of Gartner ThinkCast, we explore the future of computing — from what to expect in the next decade, to the possibilities beyond.
Gartner Global Chief of Research Chris Howard is joined by Soyeb Barot, Chief of Research for Gartner for Technical Professionals and VP Analyst, to discuss what this future could look like. Hear how AI is rapidly driving the near-term innovation of quantum computing, the far future of autonomous businesses and space manufacturing, and why executive leaders should push to play an active role in shaping these possibilities.
This episode originally aired October 15, 2024
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Read to learn What is Quantum Computing?
Opening Thoughts
Emerging Technologies Driving the Future
Applying Computing to Business Challenges
New Horizons of Technology
The Ethical Implications of Emerging Technologies
The Possibilities of the Far Future
Take an Active Role in Shaping the Future
Chris Howard | Distinguished VP Analyst, Chief of Research
Chris Howard is Chief of Research for Global Enterprises. In that role, Mr. Howard ensures that Gartner research meets the needs of senior executives, with emphasis on both technical and business leadership at the largest organizations in the world. Mr. Howard regularly interacts with and advises CEOs, board members and other senior executives at the world's largest enterprises. He is the recipient of several Gartner thought leadership awards.
Soyeb Barot | Distinguished VP Analyst, Chief of Research
Soyeb Barot is a Distinguished Analyst and Senior Data, Analytics, and AI leader with 24+ years of experience shaping enterprise-scale technology and AI strategies across global organizations. Proven track record of partnering with Senior IT and business leaders to design and operationalize AI-ready technical architectures that strengthen data management, cybersecurity, and advanced analytics capabilities. Recognized for bridging strategy and execution for CDAOs - translating emerging innovations in Agentic AI, Generative AI, AI Engineering (DataOps, ModelOps, LLMOps, AgentOps), Data Products, AI-Enabled Workforce, Operating Models, and the Future of Computing (quantum, neuromorphic, ASICs, etc.) into pragmatic, governed, and scalable, outcome-driven AI adoption. Previously as a CoR (Chief of Research) for GTP, he helped steer the research portfolio to support Technical Domain Architects with the design, implementation, and operationalization of Enterprise Technical Architectures across the areas of D&A, I&O, SWE, Enterprise Applications and Cybersecurity.
Hosted by: Karen Lockhart
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