It was my privilege to present the opening keynote at Digital Transformation Summit, exploring one of my more provocative topics: “𝐀𝐈 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧: 𝐀 𝐂𝐥𝐚𝐬𝐡 𝐰𝐢𝐭𝐡 𝐇𝐮𝐦𝐚𝐧 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞.”

This presentation navigated the audience through the evolving roles of humans (both laypersons and AI experts) in the progression from traditional, rule/logic/knowledge-based AI (GOFAI) to data-driven machine learning. It covered the journey from supervised to unsupervised learning/deep learning and onto the seismic shifts brought about by foundation models, illustrating how human expertise is systematically removed, commoditised, uplifted, transformed, and revolutionised. Understanding this progression and its future trajectory is crucial for fully grasping and harnessing the true nature of AI transformation and formulating effective AI strategies.

My litmus test for any AI transformation strategy is simple: if you can substitute ‘AI’ with any other technology term in your strategy and it still makes sense, then what you have isn’t a transformative AI strategy but rather a generic technology strategy for managing any new technologies.

Selected slides from the presentation. Dropbox

book: https://lnkd.in/g9BCu6nn
research: https://lnkd.in/gyzjE4-i