Bridge Product and Tech Silos to Achieve AI Product Success

Hosted by Avinash Mahalingam and Deepa Krishnamurthy

142 students

What you'll learn

Design AI experiments with the right frameworks

Apply proven methods to structure AI experiments that deliver clear, measurable results.

Balance diving deep with bias for action using metrics

Use metrics to know when to analyze deeply or move fast, keeping projects on track.

Drive conversations towards successful product outcome

Drive conversations to align AI solutions with product goals and ensure focused, outcome-driven collaboration.

Why this topic matters

Learn to design AI experiments with the right frameworks, collaborate effectively across Product and Tech using both hard and soft skills, and balance deep analysis with swift action through smart metric monitoring to drive faster, more successful AI product outcomes while fostering stronger cross-functional alignment.

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:

  1. 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.
  2. 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.
  3. A highly-rated mentor (4.9/5) on MentorCruise, who has guided 50+ product professionals on career growth and skill enhancement.
  4. 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:

  1. At Klarna, she architected and delivered scalable fintech solutions, gaining invaluable experience in translating business needs into robust technical architectures.
  2. 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.
  3. She successfully led a healthtech idea from a hackathon to securing EU Grants.
  4. 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.

Amazon
Klarna
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