AI CEO Podcast: Is Responsible AI the New DEI? I Uvika Sharma + Padmini Soni
The AI CEO with Seema Alexander
Practical Use Cases and Data as Product
Discussion of early AI use cases (chatbots, knowledge partners, predictive analytics, risky health bots) and treating data as a governed product to enable scalable, trustworthy AI.
Why Most AI Projects Fail w/ Uviks Sharma & Padmini Soni 📌Make sure to check out Asian Women Advancing AI https://awaai.org/ In this week’s episode of the AI CEO podcast, host Seema Alexander sits down with AI leaders Padmini Soni and Uvika Sharma to explore the multifaceted world of AI adoption, responsible AI development, and cultural inclusivity in AI. Padmini and Uvika, co-founders of the Asian Women Advancing AI community and leaders at the AI Leadership Institute, share insights from their extensive experience advising Fortune 500 companies and startups. They discuss the critical need for AI models that embrace global cultural nuances, the challenges of aligning AI strategies with business goals, and the importance of trust in AI-human interaction. The conversation delves into practical adoption hurdles such as data silos, change management, and the emerging roles AI literacy and education play for both employees and the next generation. The episode also touches on innovative AI use cases including predictive analytics, conversational agents, mental health applications, and preserving lost languages. As AI shapes the future of work and society, they emphasize the value of collaboration between humans and AI, responsible stewardship, and fostering inclusive, diverse AI ecosystems. Key takeaways AI adoption must align with clear business goals and include cross-functional teams early for effective change management.
Responsible AI requires cultural inclusivity to build trust and deliver relevant, human-centered solutions worldwide.
Data readiness and governance are foundational to AI success; treating data as a well-maintained product prevents data chaos.
AI literacy across organizational levels and age groups is essential to harness AI’s benefits while mitigating risks.
👉 In this episode
(00:00) Introduction
(01:35) Welcome to the AI CEO Podcast
(02:37) Meet the Guests
(05:58) The Importance of Trust in AI
(12:13) Challenges in AI Adoption
(22:19) The Future of AI: Predictions and Concerns
(44:23) Opportunities for Entrepreneurs in AI
(44:54) AI Training on Finished vs. Unfinished Code
(46:27) The Importance of Data in AI
(48:31) Data Governance and Integration
(54:38) AI Literacy and Workforce Upskilling
(01:00:00) AI in Education and Critical Thinking
(01:06:13) Challenges of AI in the Workplace
(01:12:02) Future of AI and Robotics
(01:12:32) Rapid Fire Questions and Closing Remarks 🌎Reach out to Padmini and Uvika 🌎Reach out to Padmini and Uvika Padmini Soni ➛LinkedIn: https://www.linkedin.com/in/padminisoni-ai ➛Founder of Rezonance AI ➛Head of Responsible AI Growth at the AI Leadership Institute ➛Asian Women Advancing AI community co-founder Uvika Sharma ➛LinkedIn: https://www.linkedin.com/in/uvika-sharma ➛AI & Data Strategist, Founder of Asian Women Advancing AI ➛AI 2030 🌎Reach out to Seema Ponda Alexander ➛CEO, Disruptive AI ➛Host, AI CEO Podcast ➛Managing Partner and Founder, AIBusinessCon (April 26) ➛Disruptive CEO Advisory https://www.disruptive.ceo/ LinkedIN: ➛https://www.linkedin.com/in/seemaalexander ➛IG: https://www.instagram.com/seemaalexander/?hl=en
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🎤 Podcast Studio: Legacy Sessions (DC) 🎤 Podcast post-production EZPZ Podcasting #AI #ArtificialIntelligence #FutureOfWork #AILeadership #ResponsibleAI #AIInBusiness #AIAdoption #AIInnovation #AITrust #AILiteracy #InclusiveAI #WomenInAI
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