AI and the Future of Work: Artificial Intelligence in the Workplace, Business, Ethics, HR, and IT for AI Enthusiasts, Leaders and Academics

Latest Episodes:

Neil Mandt, Emmy-Winning Entrepreneur, Unveils the Future of Hollywood & Media Mar 25, 2024

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Neil Mandt is a Hollywood entrepreneur, a five-time Emmy winner, and producer of the 2022 Golden Globes. A pioneer in AR and VR technology, and a pro sports owner, since getting his start in Hollywood at age 10, there's almost no award he hasn't received, and almost no new form of media he hasn't tested and improved.

What we cover

In this conversation, Neil shares insights into the evolving landscape of Hollywood and the role of AI in content creation and consumption.
Neil discusses the potential of AI to democratize content creation, enabling individuals to produce high-quality movies and TV series with minimal resources.
We delve into the challenges and opportunities presented by AI in the entertainment industry, including the gamification of user engagement and personalized content experiences.
Neil emphasizes the importance of embracing AI tools for content creators to stay competitive and adapt to changing consumer preferences.
Neil highlights the transformative potential of augmented reality (AR) and virtual reality (VR) technologies in enhancing the content consumption experience.
Neil provides valuable insights into the skills required for content producers to thrive in a future where AI-driven, interactive storytelling becomes the norm.
And much more.

Additional resources

Neil’s site — Neilmandt.com
Course on making it in media and entertainment — https://neilmandt.com/course
Other episodes you might enjoy — https://aiandthefutureofwork.buzzsprout.com/520474/14689727-babak-hodjat-cto-of-ai-at-cognizant-on-creating-siri-and-the-evolution-of-ai

Babak Hodjat, CTO of AI at Cognizant, on creating Siri and the evolution of AI Mar 18, 2024

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Babak is the CTO of AI at Cognizant, the 34 billion market cap provider of tech services with more than 350, 000 global employees. He's the former co-founder and CEO of Sentient, a business responsible for the core technology behind the world's largest distributed artificial intelligence system. Before co-founding Sentient, Babak co-founded and was the CTO and a board member of Dejima where he developed the foundational technology that ultimately became Apple's Siri.

He's the primary inventor of Dejima's patented technology. Babak has 31 granted or pending patents, is a published author, and is one of the most respected thought leaders in AI. He holds a PhD in machine intelligence from Kyushu University in Fukuoka, Japan.

In our conversation, we discuss:

The recent executive order on AI regulation issued by the Biden administration, exploring its key themes such as the development of a national registry for foundational large language models and safety test result sharing by vendors.
Babak shares insights into the challenges and engineering intricacies involved in developing and scaling AI systems, emphasizing the importance of understanding the fundamental differences between large language models and human intelligence.
The concept of responsible AI and the urgent need for defining unambiguous ethical standards, with Babak expressing concerns about AI potentially being used for destructive or malicious purposes in the wrong hands.
Babak's experience as a pioneer in developing foundational technologies for Siri
The limitations and expectations surrounding large language models shed light on the challenges of fine-tuning and reinforcing these models, as well as the misconceptions related to their learning capabilities during interactions.
The concept of active ontology and its role in the early development of Siri, highlights the revolutionary approach that focused on modeling functionality and ontology first, offering insights into the evolution of natural language technology over the past 25 years.

Additional resources

Babak's LinkedIn — https://www.linkedin.com/in/babakhodjat/
Another episode you might enjoy — https://aiandthefutureofwork.buzzsprout.com/520474/14341487-navrina-singh-founder-ceo-of-credo-ai-discusses-ai-governance-ethics

Richie Cotton, Data Scientist & Co-host of the DataFramed podcast, discusses the future of data science & AI ethics Mar 11, 2024

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Richie Cotton and his co-host Adel have published over 150 episodes of the DataFramed podcast with some amazing guests. Richie's also a data evangelist for DataCamp and a data scientist by training. He helps train DataCamp students and has been instrumental in the company's success. DataCamp has trained data teams at more than 2,500 companies, including 80 percent of the Fortune 100. Richie has degrees in Math from the University of Warwick and the University of York.

In our conversation, we discuss:

The Evolving Role of Data Scientists: Richie Cotton shares insights into the changing landscape of data science and how the role of data scientists is expected to transform in the next decade, emphasizing the increasing accessibility of powerful tools.
Ethical Considerations in AI: we delve into the ethical implications of artificial intelligence, exploring the responsibility of data scientists and AI practitioners in addressing issues such as bias, transparency, and privacy in their work.
Future Skills for Data Scientists: Richie discusses the essential technical skills for data scientists, including the ongoing debate between Python and R, and highlights the importance of staying adaptable as technology evolves.
AI's Impact on Business Operations: we explore the potential impact of AI on various industries, focusing on business operations and efficiency, providing valuable insights for professionals looking to harness AI for strategic advantages.
Predictions for Artificial General Intelligence (AGI): Richie shares intriguing perspectives on the timeline for achieving artificial general intelligence, citing predictions that AGI might become a reality in the 2030s and discussing the potential implications of such advancements.
Teaching and Learning Data Science at Scale: we shed light on Richie's experience at DataCamp, where he has been instrumental in teaching data science to hundreds of thousands of individuals, highlighting the platform's mission to make data science education accessible globally.

Additional resources

Listen to Richie’s podcast — https://www.datacamp.com/podcast
Other episodes you might enjoy — https://aiandthefutureofwork.buzzsprout.com/520474/14341487-navrina-singh-founder-ceo-of-credo-ai-discusses-ai-governance-ethics

Matt Martin, Co-Founder & CEO of Clockwise, on leveraging AI to create more time in your day Mar 04, 2024

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Matt Martin is on a mission to help the world make time for what matters. He founded Clockwise in 2016 to fix the time problem.

Since then, he and the team have raised 76 million from exceptional investors, including Greylock, Cotu, Excel, Bain, and a common investor, the Slack Fund. More than 15, 000 organizations run Clockwise. Matt was also an engineering leader at Relate IQ before Salesforce acquired it for $390 million in 2014.

In our conversation, we discuss:

Interesting ways to improve your productivity
New developments in GPT-4 supporting productivity
Challenges of time management and the impact of AI in reshaping scheduling practices, emphasizing the importance of tools like Clockwise in optimizing work schedules.
Lesson in entrepreneurship from Matt
How AI can be leveraged to make your work more fulfilling
Much more

Prasad Kawthekar, Co-Founder & CEO of Dashworks, on enterprise AI search tools Feb 26, 2024

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Prasad Kawthekar is the Co-Founder & CEO of Dashworks, an all-in-one AI search assistant. It enables users to find any document, message, or email and to accelerate a team's productivity. With over 40+ integrations, Dashworks enables teams to find and organize their internal knowledge across apps from one place and leverage their collective expertise.

In our conversation, we discuss:

The historical evolution of enterprise search tools
The challenges to enterprise search adoption: such as API integration complexities persist, hindering widespread adoption
The role of Generative AI in search
Limitations of current AI models and what the future holds for them.
What are some considerations for future AI development?
The potential of retrieval-augmented generative AI (RAG) in providing accurate and factual responses, while also acknowledging its limitations and potential for further evolution

Additional resources:

Visit Dashworks: https://www.dashworks.ai/
Another episode you might like: https://aiandthefutureofwork.buzzsprout.com/520474/14464391-dr-eric-siegel-founder-of-machine-learning-week-on-6-steps-to-usher-in-successful-ml-projects

Atif Rafiq, CEO & Bestselling Author, on the decision sprint process Feb 19, 2024

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Atif has blazed trails in Silicon Valley and the Fortune 500 for over 25 years. After rising through digital native companies like Amazon, Yahoo!, and AOL, Atif held C-suite roles at McDonald’s, Volvo, and MGM Resorts. He oversaw thousands of employees as a global P&L, transformation, and innovation leader.

Rafiq was the first Chief Digital Officer in the history of the Fortune 500, a pioneering role he held at McDonalds, and he rose to the President level in the Fortune 300. While leading business units, teams, and growth for companies, Atif has built a large following as one of today’s top management thinkers. Over 500,000 people follow his ideas about management and leadership on LinkedIn, where he is a Top Voice, and his newsletter Re:wire has over 100,000 subscribers. Atif has also been nominated

Atif is passionate about helping companies push boldly into the future. He accomplishes this through Ritual, a software app revolutionizing how teams innovate and problem-solve, and through his work as keynote speaker, Board member, and CEO advisor.

Listen and learn

What’s broken about the decision-making process in large companies
What is the decision sprint process
How will team formation/team structure change as a result of AI?
How do we measure the quality of the output of a decision sprint?
What are the smartest ways to engage generative AI in the decision sprint process?
How do you reasonably deal with the fear of AI replacing your job?
Much more

Resources

— Buy the book — https://www.decisionsprint.com/

— Ritual — https://www.ritual.work/
— Listen to a related episode — https://www.buzzsprout.com/520474/14158168-bruce-feiler-best-selling-author-ted-celebrity-tv-personality-and-new-york-times-columnist-discusses-navigating-life-transitions

Dr. Eric Siegel, Founder of Machine Learning Week, on 6 steps to usher in successful ML projects Feb 12, 2024

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Dr. Eric Siegel is a leading consultant and former Columbia University professor who helps companies deploy machine learning. He is the founder of the long-running Machine Learning Week conference series and its new sister, Generative AI World, the instructor of the acclaimed online course “Machine Learning Leadership and Practice – End-to-End Mastery,” executive editor of The Machine Learning Times, and a frequent keynote speaker. He wrote the bestselling "Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die," which has been used in courses at hundreds of universities, as well as "The AI Playbook: Mastering the Rare Art of Machine Learning Deployment."

Eric’s interdisciplinary work bridges the stubborn technology/business gap. At Columbia, he won the Distinguished Faculty award when teaching the graduate *computer science* courses in ML and AI. Later, he served as a *business school* professor at UVA Darden. Eric has appeared on numerous media channels, including Bloomberg, National Geographic, and NPR, and has published in Newsweek, HBR, SciAm blog, WaPo, WSJ, and more.

Listen and learn

How he’s progressed in the field of machine learning over 30 years
6-step process to usher in machine learning programs from conception to deployment
What 3 things non-technical people in business should know about how machine learning works & delivers value
How to know when to use classical machine learning vs generative AI to solve a data problem
How to mitigate the impact of human bias in shaping AI

Resources

Purchase "The AI Playbook" — http://www.bizML.com
Scott Zoldi episode —https://feeds.buzzsprout.com/520474.rss

Juliette Powell & Art Kleiner, Entrepreneurs & Professors, Discuss The 7 Principles of Responsible Technology Feb 05, 2024

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Juliette Powell is the founder and managing partner of Kleiner Powell International [KPI], a New York City-based consultancy. As a consultant at the intersection of responsible technology and business, she has advised large companies and governments on how to deal with the accelerating change underway due to AI-enabled technological innovation coupled with shifting social dynamics and heightened global competition. She’s also on the faculty at New York University and teaches in the Interactive Telecommunications Program.

Art Kleiner is a writer, lecturer, and consultant with a background in management, interactive media, corporate environmentalism, scenario planning, and organizational learning. He is a co-author (with Pete Senge et al.) of the best-selling Fifth Discipline Fieldbook, The Dance of Change, and Schools That Learn; and author of Who Really Matters: The Core Group Theory of Power, Privilege, and Success. Since 1986, he has taught in New York University's Interactive Telecommunications Program.

Juliette and Art co-authored a new book, The AI Dilemma: 7 Principles for Responsible Technology.

Listen and learn

How Juliette and Art started their careers
The Principles of Responsible Technology
What could happen if AI became sentient?
How can we prevent AI from reinforcing negative biases and discrimination?
How people and organizations can practice better ethics when leveraging AI?
What will it take to engrain more ethical, equity-oriented thinking into business education?
Much more

References in this episode…

Dave Kellogg, SaaS whisperer and EIR at Balderton Capital, predicts the future of AI, Silicon Valley, and venture capital Jan 29, 2024

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Dave Kellogg is an advisor, director, consultant, angel investor, and blogger focused on enterprise software startups. He’s the executive-in-residence (EIR) at Balderton Capital and the principal of his own eponymous consulting business.

He brings an uncommon perspective to startup challenges having 10 years’ experience at each of the CEO, CMO, and independent director levels across 10+ companies ranging in size from zero to over $1B in revenues.

Dave also authors the Kellblog which covers topics related to starting, leading, and scaling enterprise software startups including strategy, marketing, positioning, messaging, management, go-to-market, SaaS metrics, and venture capital financing.

Listen and learn

How Dave did with last year's predictions
What's ahead for the venture capital ecosystem in a post ZIRP environment
How CIOs are investing in automation
What to expect from the big LLM vendors
And much more...

References in this episode…

Kellblog — https://kellblog.com/
Amr Awadallah, Vectara CEO, on AI and the Future of Work

Navrina Singh, Founder & CEO of Credo AI, discusses AI governance & ethics Jan 22, 2024

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Navrina Singh is the Founder and CEO of Credo AI, a Governance SaaS platform empowering enterprises to deliver Responsible AI. A technology leader with over 18+ years of experience in Enterprise SaaS, AI and Mobile, Navrina has held multiple product and business leadership roles at Microsoft and Qualcomm.
Navrina and the team have been on a mission to help organizations create AI that adheres to the most ethical standards since March 2020. Credo has raised over $13 million from an impressive list of investors that includes Decibel Partners, Sands Capital Ventures, and the AI Fund, among others. Navrina is a member of the national AI advisory committee and is a world Economic Forum global leader. Prepare to be inspired.

Listen and learn

If Navrina ran the world, how she’d regulate AI
How to incorporate consumer feedback & inclusive practices into the AI development process
How companies can start creating trustworthy, ethical AI
How Navrina is empowering companies to deliver responsible AI at scale
Criteria to consider for combatting algorithmic bias
How to deal with the fear of being replaced by machines
Navrina's advice to young entrepreneurs

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AI and the Future of Work: Artificial Intelligence in the Workplace, Business, Ethics, HR, and IT for AI Enthusiasts, Leaders and Academics

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