JAMES DUEZ - RAINBIRD
AI
THE WORLD CAN TRUST
BRIDGING THE GAP BETWEEN DATA SCIENCE AND DECISION INTELLIGENCE WITH NEUROSYMBOLIC AI
JAMES DUEZ is the CEO and co-founder of Rainbird.AI, a decision intelligence business focused on the automation of complex human decision-making. James has over 30 years’ experience building and investing in technology companies with experience in global compliance, enterprise transformation and decision science. He has worked extensively with Global 250 organisations and state departments, is one of Grant Thornton’s ‘Faces of a Vibrant Economy’, a member of the NextMed faculty and an official member of the Forbes Technology Council.
T
he evolution of artificial intelligence (AI) is a story of remarkable breakthroughs followed by challenging realisations and it dates back to the dawn of computing. AI has gone through a series of ‘summer’ and ‘winter’ cycles for decades, driven by hype, and followed by troughs of failed deployments and disillusionment. And here we are again, this time marvelling at generative AI and the capabilities of large language models (LLMs) like GPT-4. Data leaders are continuing to figure out how to leverage LLMs safely, to discover where the value actually is and what may come next. Of course, AI was never ‘one thing’, but rather a broad church of capabilities, all at the forefront of innovation, trying to add value. Since the term AI was coined in 1955 by John McCarthy, we have suffered from the AI Effect. This is a phenomenon where once an AI capability starts to deliver value, it often ceases to be recognised as
06 | THE DATA SCIENTIST
