The AI Forecast: Data and AI in the Cloud Era

• AI’s Growing Appetite: Can Data Centers Keep Up feat. Scott Jarnagin

  As AI booms and workloads skyrocket, data centers are being pushed to their physical and operational limits. Meanwhile, massive growth has sparked conversations about the environmental impacts of greater computing requirements.  Data center electricity consumption will grow by an average of 23% annually between 2023 and 2028. Additionally, the same report forecasts that AI-specific data center energy usage will increase by an average of 43% annually during the same period.  In this episode of The AI Forecast, Scott Jarnagin, CEO of Caddis Cloud Solutions, joins the podcast to discuss the evolving landscape of data centers in the age of AI. He touches on the significant increase in energy consumption associated with AI workloads, the historical shifts in data center strategies, and the challenges faced in designing and planning for future data center needs. Stay in touch with Scott on LinkedIn: https://www.linkedin.com/in/scott-jarnagin-24b6131/  +++ Like and subscribe to The AI Forecast to stay up to date on the latest episodes. You can watch the video version of this episode on The AI Forecast.

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• The Path to Safe AI – Education with Peter Norvig

  In a world where AI is rapidly reshaping everything from how we work to how we live, one truth stands out: education is the cornerstone of both innovation and safety.  In this episode of The AI Forecast, host Paul Muller speaks with Peter Norvig, an education fellow at Stanford and the co-author of Artificial Intelligence: A Modern Approach, the leading textbook for AI education. Peter explores the critical role of accessible, up-to-date AI education in building skilled practitioners, guiding policy, and fostering public understanding. Listen in as they explore concepts like "AI literacy" and unpack why continuous learning is essential to keep pace with technological change—and how it can help us build a more informed, ethical, and responsible AI future. Stay in touch with Peter Norvig: Peter on LinkedIn Peter’s Website +++   Like and subscribe to The AI Forecast to stay up to date on the latest episodes. You can watch the video version of this episode on The AI Forecast.

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• Leading in the Age of AI with Dr. Maya Dillion

  As AI becomes a regular topic in boardrooms, many executives face critical blind spots around strategy, governance, and implementation. Few are AI-native, and many struggle to connect high-level goals with practical, accountable systems.  In this episode of The AI Forecast, host Paul Muller speaks with Dr. Maya Dillon, an astrophysicist turned AI thought leader and CEO of consultancy XSAIA. Maya emphasizes the need for human-centric leadership in AI and the importance of understanding the holistic impact of AI on businesses. Listen in as they explore Maya's unique journey from the world of astrophysics to AI leadership, discussing the importance of co-creation in AI, the intersection of science and business, and the challenges organizations face in implementing AI effectively.  Stay in touch with Dr. Maya Dillion on LinkedIn. +++   Like and subscribe to The AI Forecast to stay up to date on the latest episodes. You can watch the video version of this episode on The AI Forecast.  

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• Boring AI is Safe AI with Cal Al-Dhubaib

  In highly regulated industries like healthcare and energy, a lot is at stake if an AI system “fails” – therefore leading to a higher risk of unintended consequences that could mean life or death. These high-risk environments can teach us a lot about responsible AI, practical guardrails, and best practices overall.  One of those lessons? Make AI “boring”. To dive into what that means for highly regulated industries and beyond, we’re joined by Cal Al-Dhubaib. Cal is the Head of AI and Data Science at Further and founder of Pandata (which was acquired by Further in 2024). Cal is on a mission to make “boring” AI a mainstream trend. In this episode, Cal discusses the critical aspects of AI deployment, emphasizing the importance of decision-making endpoints and explainable AI. Cal frames governance as an enabler of innovation: “Cars can go faster with breaks.” Stay in touch with Cal: Cal on LinkedIn   +++ Like and subscribe to The AI Forecast, sponsored by Cloudera, to stay up to date on the latest episodes. You can watch the video version of this episode on The AI Forecast.

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• How to Win in the Data Economy with Jan-Willem Middleburg

  Data is more complex than ever before, and the big data market is growing rapidly with advancements in digital technology such as AI and cloud computing. But with this growth also comes opportunity.  The business leaders who can make sense of their data – and transform it into value – will be the winners in today’s data economy. To discuss this, we’re joined by Jan-Willem Middleburg.  Jan-Willem is the managing director of Cybiant and the host of the Big Data Talks podcast. Jan and host Paul Muller discuss the evolution of big data, the importance of data strategy, and the challenges organizations face in becoming data-driven. They explore the need for frameworks in data management, the significance of data governance, and the role of self-assessment in improving data practices. The conversation also touches on the future of big data and AI, emphasizing the necessity of articulating a clear data strategy to drive effective decision-making. Stay in touch with Jan-Willem: Jan-Willem on LinkedIn Big Data Talks Podcast +++ Like and subscribe to The AI Forecast, sponsored by Cloudera, to stay up to date on the latest episodes. You can watch the video version of this episode on The AI Forecast.

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