Bryan Talebi, founder and CEO of Ahura AI, shares how AI is being used to up-skill and re-skill workers being displaced by automation

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 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 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 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 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…

• Juliette and Art's website
• Gary F. Bengier discusses AI’s impact on humanity

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
• What's ahead for AI and copyright protection in 2024
• And much more...

References in this episode…

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

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

Adam Wenchel is the CEO of Arthur, a company with a platform that gives you an immediate comprehensive AI performance solution across LLMs, Computer Vision, Tabular Data, and NLP. 

Adam and the team have been making AI observable for almost 5 years with Arthur. Arthur has raised over $60 million from a legendary group of investors including Index Ventures, Greycroft Partners, Work-Bench, and others. An equal list of impressive customers they’ve served includes Humana and Plaid, among others. 

Listen and learn

• How Adam started his career in AI
• How he helped map out Capital One’s early AI strategy 
• The value of evaluating AI model performance 
• How Arthur launched its first LLM-specific product and what the team learned 
• How to monitor the performance of an LLM model in production and which questions to ask when evaluating it 
• The lessons from growing a startup that nobody talks about 

References in this episode…

• Arthur’s website - https://www.arthur.ai/

Sean Behr is the CEO of Fountain, the company transforming the hiring process for hourly workers. Sean and the team have helped more than 80M applicants in 75 countries at places like Stitch Fix, sweetgreen, and gopuff. Fountain has raised $225M to date most recently through a $100M series C last June from an amazing list of investors including B Capital Group, SoftBank, DCM, and Uncork Capital.

Sean joined Fountain as CEO in 2020 after founding fleet infrastructure platform Stratim, serving as SVP of Adap.tv through its acquisition by AOL, and holding various management roles at Shopping.com.

Listen and learn...

1. How Sean is creating opportunities for frontline workers around the world
2. What's uniquely challenging about hiring frontline vs. knowledge workers
3. How long before robots will replace human frontline workers
4. The ethical implications of using AI in hiring
5. What biases are embedded in the hiring process... without AI
6. Why the future of hiring... is more human thanks to AI

References in this episode...

1. May Habib, Writer CEO, on AI and the Future of Work
2. Josh Bersin, HRTech pioner, on AI and the Future of Work
3. Why every organization needs a Chief Ethics Officer

Wipro is one of the largest providers of tech and tech services in the world with more than 250,000 employees. It was started in 1945 and is now the third largest software company in India with a market cap of more than $27B.

We're lucky to be joined today by the leader driving Wipro's technology vision. Subha Tatavarti joined Wipro as Chief Technology Officer in March 2021 after a distinguished career in tech leadership roles at companies like Walmart and PayPal where she led the product, data, and infrastructure teams. Subha holds a Masters in Computer Science. She's an avid hiker and enjoys trail running and books on philosophy.

Listen and learn...

1. What Wipro's 1,400+ enterprise customers expect from gen AI
2. What are the top use cases for enterprise AI in 2024
3. Why the quality of AI-generated code has surprised Subha
4. One year in... how does Subha describe the state of enterprise adoption of gen AI
5. What is holding back broader adoption of gen AI
6. Why regulatory frameworks alone are sufficient to reign in the bad actors
7. Early adopting industries and geographies you wouldn't expect
8. Subha's advice to CIOs and CTOs about how to pick the right business problem to solve with AI
9. Subha's vision for the future of human interaction

References in today's episode...

• Durga Malladi, Qualcomm SVP, on AI and the Future of Work
• AI classifiers can't distinguish human from AI-generated content
• Wipro's billion-dollar investment in AI 
• The Wipro ai 360 hub
• Wipro's approach to responsible AI
• The Azim Premji Foundation