What are the key considerations for developing AI platforms? In this episode of the Product Leaders to Watch series with Cognizant Product Director Chenny Solaiyappan, Bank of America VP of AI/ML and Automation Platform Hira Dangol shares strategies for AI product development, highlighting the importance of diversity and leveraging AI, ML, and data insights to solve business challenges. The conversation also explores frameworks for building solutions that deliver total experience value and the pathways for community involvement, continuous learning, and responsible growth in AI.

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Show Notes

  1. Product development strategies should leverage insights from industry leaders.
  2. Diversity plays an important role in product development.
  3. AI, ML, and data can be applied to address business challenges.
  4. Frameworks can guide building solutions from data to insights to automation.
  5. Total experience value is key, including customer, user, employee, and developer experience.
  6. Compliance, security, performance, usability, agility, and speed are important considerations.
  7. Community involvement and ecosystem building are important pathways.
  8. Continuous learning and collaboration help drive industries forward.
  9. Leadership discussion forums and panels are impactful ways to contribute.
  10. Products should go beyond solved problems to deliver holistic value.
  11. Vision, mission, execution strategy are important for product managers.
  12. Organizational and ecosystem priorities should be considered.
  13. Customer obsession requires understanding pain points.
  14. Revenue and monetization are important for commercial products.
  15. Experiential aspects deliver delightful experiences.
  16. Scaling preserves initial vision while adapting to needs.
  17. Privacy, availability, and functionality are essential aspects.
  18. Responsible growth is important for any product.
  19. Diversity, equity, and inclusion build stronger organizations.
  20. Contributing to the community is as important as personal gain.

About the speaker
Hira Dangol Bank of America, BSM -Enterprise Leader, Asian Leadership Network (ALN) Member

Design, build, and operator background across infrastructure-led hardware, software, and cloud products with over 15 years of experience Led and managed 30+ global team building and shipping 0.5B invested robotic process automation platform. Currently managing and leading a global team of PMs, Engineering, AI/ML, Ops support, and release of 40+ now building AI/ML and automation-powered platforms for enterprise users globally. I also engage with thought leadership discussions across San Francisco-based CIO and CDO executive leadership network, the AI/ML community and technology forums including MIT. Advisors, investors and executive leadership to Silicon Valley's largest forum- VLAB, VC funds and network of founders and entrepreneurs ecosystem.

About the host
Chenny Solaiyappan Cognizant, Director, Product Management, Government Health programs

Chenny Solaiyappan is the Director of Product Management for Cognizant Trizetto's Government and Quality Solutions, and a founding member of the ClaimSphere suite of products, encompassing quality, HEDIS ®, CMS Stars, and clinical solutions. An accomplished Intrapreneur and Lean Startup Practitioner, he plays a pivotal role in shaping the overall product strategy and serves as the HL7 DaVinci Business Co-chair. With a notable track record, Chenny has provided consultancy to over 30 health plans across the nation, consistently raising Quality and Star ratings in Medicaid, Medicare, Federal Employees Health Plan, and Commercial health plan sectors, collectively supporting 30 million lives. His outstanding leadership and innovative contributions have earned him prestigious awards, including the 2023 Top 20 Global Product Manager Award by Products That Count, as well as the 2021 and 2019 Product of the Year awards by Cognizant Trizetto.

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