There remains a lot of interest in artificial intelligence, the opportunities it offers and the challenges it presents to companies looking to tap the potential.Christopher Lee Marshall, associate vice president for IDC Asia Pacific, says “AI is rapidly outgrowing its preliminary notion as the add-on service to business practices, and coming on strongly as a game changer in the way organizations can leverage on the technology. Its successful adoption requires mammoth transformation of not only the organization but its employees, balanced with capabilities to secure increasingly complex datapaths.With us today is David Hardoon, Managing Director, Aboitiz Data Innovation, to with us his understanding on the technology.David, welcome to PodChats for FutureCIO.1. What are organizations doing wrong when it comes to pursuing a data-driven strategy?2. What are the key defining metrics for data initiatives?3. AI is different things to different parts of the operations (finance, security, operations, retail, etc). can you name a best practice for aligning the what (goal now, not in the future) and why of AI with the how? Would you call this operationalizing AI?4. How can CIOs and IT leaders mitigate the negative aspects of the hype surrounding AI while preserving the enthusiasm rightfully associated with its power to create real value?5. Coming into 2022, what remains key challenges for the following roles when it comes to AI adoption and monetization:a. Business Leadership (CEO, heads of lines of business)b. Operationsc. Finance (CFO, controllers, finance team)d. IT (CIO, CTO, CISO, etc)6. What is your advice to IT leaders as they push for an acceleration and sustained adoption of AI within the organization?

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