Generative AI Risks and Mitigation
Generative (gen) artificial intelligence (AI) risks span data, model, deployment, and governance dimensions, with different concerns coming to the forefront at each adoption stage.
Generative (gen) artificial intelligence (AI) risks span data, model, deployment, and governance dimensions, with different concerns coming to the forefront at each adoption stage.
As customer service leaders navigate the rapidly evolving technological landscape of artificial intelligence (AI), it is crucial to reassess the entire customer journey, and strike the right balance between digitised efficiency and personalised responsiveness at scale.
Uncover the potential of Google’s Spanner database with graph processing for advanced AI applications and data management strategies.
By sidestepping hype and misconceptions, companies can stay grounded while still tapping into the transformative potential of recent breakthroughs in large language models (LLMs). A clear-eyed view will separate organisations that achieve material value from those that squander resources chasing an AI strategy.
Uncover the game-changing capabilities of OpenAI’s GPT-4o model for revolutionising AI strategies in enterprises.