explainable ai

How can we create better AI that's centered around users? What influence will AI have on products and its users? Svetlana Makarova, AI Group Product Manager at Mayo Clinic, joins us to discuss how AI will reshape product strategy and management. 

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Timestamps:
[00:01:45] About Svetlana and AI product management at Mayo Clinic
[00:07:00] User centric AI
[00:11:00] Should we incorporate AI into everything?
[00:16:00] How to implement AI in product strategy
[00:21:00] Importance of explainable AI
[00:24:00] Creating user centric AI
[00:29:05] Svetlana's final takeaway

Topics Covered in This Episode:
1.  Importance of User-Centric AI
2. Decision-Making Process for Implementing AI
3. Product Development Methodology
4. Importance of explainable AI in building trust

Keywords:
AI integration, User-centric AI, Seamless integration, Google, Amazon, Generative AI, Decision-making process, Return on investment, User feedback, Automation, Work shares, Synthetic data, User workflows, Solution approaches, Enterprise scaling, Data platform, Flexible infrastructure, Explainable AI, Mayo Clinic, AI product management, Product strategies, Market introduction, Buzzword, Challenges for enterprises, User needs, AI solutions, Practical advice, career, business.

Creating trust and transparency in AI isn’t just a business requirement, it’s a social responsibility. In this episode of Smart Talks, Malcolm talks to Christina Montgomery, IBM's Chief Privacy Officer and AI Ethics Board Co-Chair, and Dr. Seth Dobrin, Global Chief AI Officer, about IBM’s approach to AI and how it’s helping businesses transform the way they work with AI systems that are fair and address bias so AI can benefit everyone, not just a few. This is a paid advertisement from IBM.

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