AI Strategies for Future-Ready Enterprises
In this conversation, Andrew Welch discusses a white paper titled 'Crafting Your Future Ready Enterprise AI Strategy.' The paper addresses the need for organizations to take a strategic approach to implementing artificial intelligence (AI) and highlights the importance of data readiness. Welch emphasizes the distinction between incremental AI, which brings efficiency to existing tasks, and differential AI, which represents groundbreaking advancements. He also discusses the role of low code in scaling AI and the need for consistency in data access and rights. The conversation concludes with appreciation for the valuable insights provided in the white paper.
What You Will Learn:
Organizations should take a strategic approach to implementing AI and consider data readiness as a crucial factor.
Balancing investments in incremental and differential AI can help manage risk and derive value from AI initiatives.
Low code platforms can play a significant role in scaling AI across organizations.
Being future-ready is more important than striving for future-proofing in the rapidly evolving AI landscape.
Ensuring consistency in data access and rights is essential for effective AI implementation.