Leaders In AI Podcast

In this episode, I chat with Nancy Hauge, Chief People Experience Officer at Automation Anywhere, who discusses how AI and automation are reshaping the workplace and human-centered economy. She shares insights on generational differences, the changing nature of work, and how companies can leverage automation to boost productivity and free up human potential.

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Chapters:

(03:59) The human-centric economy and generational workplace differences

(11:38)   How technology and automation are changing work processes

(18:57)  The importance of partnerships and trust in the AI/automation space

(26:27)  Balancing innovation and safety with new technologies

(31:38)  How younger generations view and use technology differently

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Host Links

https://www.leadersinaisummit.com/

https://www.linkedin.com/in/brucemonacoinstituteforai/

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Guest Links

https://www.linkedin.com/in/nancyhauge/
https://www.automationanywhere.com/

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Keywords:
AI, automation, human-centered economy, workplace, technology,HR, humor, human centric economy, declining populations, customization,baby boomers, Gen X, millennials, technology, social media,technology, globalization, laborers, plumbers, automation,industrial age, workplace

Today we're hosting Sean Bhardwaj, who was previously Staff Vice President Strategic Initiatives at Elevance Health. Sean shares how to build a culture that embraces AI innovation, why cross-disciplinary collaboration is crucial for AI success, and how to align your AI initiatives with your overall business strategy.

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Chapters:

(01:15) Building a culture of innovation in AI is crucial for success in digital marketing and business.

(09:24) Aligning AI initiatives with overall business strategy is essential for long-term success and growth.

(17:37) Fostering a culture of understanding and buy-in for AI innovation is key to overcoming resistance and driving value.

(25:29) Collaboration and cross-disciplinary communication are vital for scaling AI projects across different functions within an organization.

(35:01) Normalizing conversations about AI and engaging a diverse range of people can lead to collective innovation and societal progress.

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Host Links

https://www.leadersinaisummit.com/

https://www.linkedin.com/in/brucemonacoinstituteforai/

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Guest Links

https://www.linkedin.com/in/seanbhardwaj/

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Keywords:

AI strategy, innovation, enterprise adoption, change management, data infrastructure, talent acquisition, governance, security, cross-disciplinary collaboration, pilot projects, ROI, cultural readiness, scaling AI, human-centered design, adaptability, value chain disruption, AI ethics, generative AI, AI regulation, AI transformation

Today we're hosting Ari Kaplan, a sports analytics pioneer and head evangelist at Databricks. Ari shares insights on the evolution of AI in sports and industry, the balance between innovation and safety in AI, and the transformative power of synthetic data and real-time analytics.

Chapters:

(01:32) The balancing act between AI innovation and safety across consumer and business applications

(08:15) Ari's journey in sports analytics and how it led to working with McLaren Formula 1

(13:45) The growing importance of real-time data and AI in sports, gaming, and media

(18:22) The potential of synthetic data for innovation, testing, and privacy protection

(23:10) The exciting future of personalized entertainment and gaming experiences enabled by AI

(26:45) Rapid-fire questions on favorite baseball players, AI use cases, VR/AR preferences, and more

Host Links:

https://www.leadersinaisummit.com/

https://www.linkedin.com/company/institute-for-ai-transformation/

Guest Links:

https://www.linkedin.com/in/arikaplan/

https://www.databricks.com/

Keywords:

Sports analytics, AI innovation, AI safety, real-time data, synthetic data, personalization, enterprise AI, data readiness, Formula 1, gaming, media, healthcare AI, augmented reality, virtual reality, Databricks, data intelligence platform

This podcast episode features Michael from NVIDIA discussing trustworthy AI and the company's approach to responsible technology development. He explains NVIDIA's framework for trustworthy AI, which includes principles of privacy, safety and security, explainability and transparency, and non-discrimination. Michael also shares insights on challenges in the AI industry, particularly in areas like automotive technology, and emphasizes the importance of tackling unsolved problems and enabling accessibility in AI development.

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Chapters:

00:53 - Understanding AI and the Need for Trustworthy AI"

09:50 - NVIDIA's Approach to Trustworthy AI and Challenges in Growth

19:56 - A suitable short title for this podcast transcript section could be

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Host Links

https://www.linkedin.com/in/brucemonacoinstituteforai/

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Guest Links

https://www.linkedin.com/in/michaelrboone/

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AI, trustworthy, NVIDIA, technology, transparency, computer vision, civil engineering, infrastructure, data, safety, privacy, generative AI, automotive, sustainability, innovation, ethics, Model Card++, Nemo Guardrails, responsibility, accessibility