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Summary:
Sastry Durvasula, Chief Information and Client Services Officer at TIAA, discusses the transformation of TIAA into an AI-first company and the balance between innovation and regulation. He emphasizes the importance of grounding AI initiatives in the core mission of the company and the impact on clients. Sastry highlights the need for a responsible AI policy and the implementation of robust controls and processes.
He also discusses the democratization of AI and the importance of upskilling and reskilling all colleagues, no matter what type of organization they sit in. Sastry shares examples of AI use cases at TIAA, such as leveraging generative AI to simplify complex retirement/financial topics and AI-powered phishing emails for cybersecurity training.
Takeaways:
Ground AI initiatives in the core mission of the company and the impact on clients
Implement a responsible AI policy and robust controls and processes
Democratize AI and upskill and reskill all colleagues
Create value through AI use cases that improve productivity and enhance client service
Sound Bites:
"AI is for everyone."
"AI is not just for AI or data science professionals, it is a cultural change for everybody."
"Don't get locked into one set of models and technology, keep an open architecture."
Keywords:
AI-first, innovation, regulation, responsible AI, mission-driven, generative AI, use cases, democratization of AI, upskilling, reskilling, AI training, value creation
Summary:
Sastry Durvasula, Chief Information and Client Services Officer at TIAA, discusses the transformation of TIAA into an AI-first company and the balance between innovation and regulation. He emphasizes the importance of grounding AI initiatives in the core mission of the company and the impact on clients. Sastry highlights the need for a responsible AI policy and the implementation of robust controls and processes.
He also discusses the democratization of AI and the importance of upskilling and reskilling all colleagues, no matter what type of organization they sit in. Sastry shares examples of AI use cases at TIAA, such as leveraging generative AI to simplify complex retirement/financial topics and AI-powered phishing emails for cybersecurity training.
Takeaways:
Ground AI initiatives in the core mission of the company and the impact on clients
Implement a responsible AI policy and robust controls and processes
Democratize AI and upskill and reskill all colleagues
Create value through AI use cases that improve productivity and enhance client service
Sound Bites:
"AI is for everyone."
"AI is not just for AI or data science professionals, it is a cultural change for everybody."
"Don't get locked into one set of models and technology, keep an open architecture."
Keywords:
AI-first, innovation, regulation, responsible AI, mission-driven, generative AI, use cases, democratization of AI, upskilling, reskilling, AI training, value creation