Generative AI has created a flood of interest exceeding any new technology over the last few decades. Digital leaders describe it as the second ‘iPhone’ moment. Organisations have recognised the vast potential of such tools but are perplexed about how to deploy them without creating chaos. Reactions have varied from top-level endorsements to comprehensive bans on popular tools. Digital leaders must answer two questions: Do they have the fundamentals for gen AI success? and what potential outcomes might be achievable in the short and longer term.
Google Cloud and Cognizant invite you to a round table to discuss these critical questions. Both have led the industry to develop gen AI tools such as Vertex AI and apply them in real-life situations. Issues to be addressed in the round table will include:
Join us at 18.30 on the 12th of December to share current practices and exchange thoughts about future directions. A leader at Google Cloud and Duncan Roberts, head of research at Cognizant, will introduce the topic. Roger Camrass, Director of Research at CIONET International, will be your host. As with all CIONET events, we believe this meeting of minds will help empower you in your digital leadership role.
Find out more about the speakers and our panellists
A pioneer of today’s Internet in the seventies (at MIT) Roger Camrass has been helping organisations across the Globe harness the power of new technologies and methods for over five decades.
As a thought leader, business executive and part time academic, Roger has introduced a succession of innovations including digital networking in the seventies, outsourcing and call centres in the eighties, business reengineering and third generation mobile networks in the nineties, e-commerce in 2000 and more recently cloud and 5G.
Deb works with global industry organizations to vision and execute on what they can do with data, AI, and MLOps on Google Cloud. Recently, she has been working with the generative AI product and engineering teams to engage and build with customers using the next generation of AI tools, including operationalizing generative AI applications.
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