Bridge Product and Tech Silos to Achieve AI Product Success
Hosted by Avinash Mahalingam and Deepa Krishnamurthy
What you'll learn
Design AI experiments with the right frameworks
Balance diving deep with bias for action using metrics
Drive conversations towards successful product outcome
Why this topic matters
You'll learn from
Avinash Mahalingam
Ex-Amazon | Product Management Leader & Coach | 14+ years exp | 100+ students
Avinash Mahalingam brings strategic product management experience across diverse global industries in USA, Canada, and India, now leading AI platform innovation at a top Canadian bank and earlier led Product initiatives at Amazon. He's passionate about empowering product professionals with practical insights gained from building and scaling successful products.
Key Experiences & Expertise:
- Leading AI platform product development for an internal developer platform at a major Canadian bank, offering first-hand exposure to the intricacies of building and scaling AI-powered products.
- At Amazon, Avinash spearheaded the product strategy and launch of 4 zero-to-one products in billing and payments, demonstrating end-to-end product lifecycle expertise.
- A highly-rated mentor (4.9/5) on MentorCruise, who has guided 50+ product professionals on career growth and skill enhancement.
- He co-led product management courses for 60+ individuals in live cohorts.
Deepa Krishnamurthy
Ex-Klarna | AI Engineer & Mentor | 8+ years of exp | 600+ students
Deepa Krishnamurthy brings hands-on experience in Machine Learning, Data Science, and Analytics. She's passionate about empowering Product Managers and leaders to navigate the complexities of building successful AI products.
Key Experiences & Expertise:
- At Klarna, she architected and delivered scalable fintech solutions, gaining invaluable experience in translating business needs into robust technical architectures.
- She has worked at a fast-paced Silicon Valley startup, where she spearheaded the development and deployment of cutting-edge Machine Learning models. She understands the unique challenges and opportunities in a high-growth, technology-driven setting.
- She successfully led a healthtech idea from a hackathon to securing EU Grants.
- With a 4.81/5 rating, Deepa has successfully conducted live hands-on cohorts for 600+ students in MIT's Applied Data Science Program.
Previously at Amazon, Klarna.
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