How to Craft an AI Roadmap That Everyone Can Get Behind

By Shaun Cooney

Generative AI is often discussed, but not always understood.

Jumping on the generative AI bandwagon without devising a strategy behind it leads to confusion and misalignment. Instead, leaders need to be clear about goals and measurable outcomes that they’re hoping to achieve with AI — and sometimes, that means leaning on a different technology altogether. In this Perspectives podcast episode, Splunk’s CTO Min Wang joins my fellow field CTO and co-host Cory Minton and me to discuss how to develop a plan for introducing generative AI into an organization.

Wang also shares her unorthodox career journey, including how she successfully transitioned from AI research to product development, and how she plans to use generative AI to improve customer experiences and drive value at Splunk.

Watch, download or listen to the full episode below. Thanks for tuning in.

Shaun Cooney

Shaun is a business technologist who’s spent much of his career in intelligence, defence & telecommunications where he has experience in Cyber Security, resilience, data and product development leadership roles. Most recently Shaun held a senior leadership role as head of Engineering for the UK’s National Cyber Security Center (NCSC), leading the development of digital services and guidance across the UK Government and beyond.

Shaun's role, Strategic Advisor, Technology & Innovation for EMEA sees him spending most of his time helping organisations through their transformations and large change programmes, helping them to think more strategically or differently about their use of data and technology to validate and implement their business strategies.

As a child, Shaun told his parents that he wanted to be a giraffe when he grew up. Standing at 6 foot 8 inches (203cm) Shaun is proud to have achieved his childhood dream.

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About Splunk

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Our customers trust Splunk’s award-winning security and observability solutions to secure and improve the reliability of their complex digital environments, at any scale.

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