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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Francois Candelon, AI expert and Managing Director at BCG, shares tips for succeeding with AI based on 30 years of research Jul 10, 2022

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Francois Candelon, Managing Director at the BCG Henderson Institute, has spent 30 years researching how companies adopt modern technology. His research spans business, technology, economics, and science. Francois is a popular speaker, author, and advisor who has been featured at events including Mobile World Congress, TED@BCG, Politico AI Summit, and Wuzhen Internet Conference. Francois is also a leader on BCG's GAMMA AI@Scale team.
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The one company Francois says best illustrates how AI can transform legacy industries
Why "artificial intelligence" isn't really "intelligent"
What is an "AI strategy"... and what are the four questions to ask to define yours
How a fintech company in the UK reduced costs to transfer money by 90% with AI
What's required to earn the public's trust in AI
Why every company should be required to have a "social license" to use AI

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Stephen Messer, AI entrepreneur, CEO, mentor, and web pioneer, discusses the future of automation in B2B sales Jul 03, 2022

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Stephen Messer, founder of Collective[i], was an attorney and teacher before discovering his passion for entrepreneurship. He started LinkShare (acquired by Rakuten in 2005) which made it possible to pay for clicks on the web. He changed how the web works and now he's using AI to change the world of B2B sales. The world needs more visionaries like Stephen. Hear what fuels him and learn about his process for disrupting legacy industries.
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The four words that define what all the best entrepreneurs do better than everyone else
Why sales is the only job function where "30% productivity is the norm"
What's required to use AI to help B2B sales people
How to use RPA to automatically update CRM systems
How Stephen's winning against Salesforce, Microsoft, and HubSpot
What to look for in a mentor

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SE 3: Special episode: Is Google's LaMDA chatbot sentient? Tiernan Ray from ZDNet breaks it all down and discusses how to tell a chatbot from a human... and the ethics of bots fooling people. Jun 26, 2022

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In this special episode, we unpack the controversy surrounding the sentient chatbot that "worries about its future". Google engineer Blake Lemoine published a transcript of a conversation with the chatbot LaMDA that generated strong reactions from technologists and AI ethicists. It conjured images from science fiction movies that always capture the public imagination.
Tiernan Ray, ZDNet writer, accomplished tech journalist, and good friend of the podcast, joined host Dan Turchin to reflect on the story based on his analysis of the 5,000-word LaMDA transcript.
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What will it be like to co-habit a world with thinking machines?
What does it mean for an AI to be sentient? Why should we care?
Should AI be protected under the 13th amendment?
How do we know LaMDA's not sentient from the transcript?
What are the ethical implications of developing sentient bots?
Did Google act responsibly in developing a bot that is sentient-like?

References in this episode...

Tiernan's analysis of the LaMDA transcript
Melanie Mitchell on MSNBC
Blake Lemoine's interview with Steven Levy in Wire
Alan Turing's Imitation Game

Kevin Dewalt, CEO of Prolego and author of "Become an AI Company in 90 Days", shares what every company must know to succeed with AI Jun 19, 2022

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Kevin Dewalt, CEO of Prolego, built his first neural net at Stanford in 1995 after graduating from the U.S. Coast Guard Academy. He popularized the term "AI abundance" to describe the path of exponential technologies and how AI adoption is five years from becoming mainstream. He now applies 25 years of studying AI to help organizations embrace the future.
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What every company needs to know to succeed with AI.
How the most successful organizations approach AI investments.
Why Kevin says: "...we haven't had a single project where we've used AI to eliminate jobs."
What Kevin feels is the most disruptive field within AI research.
Practical applications of NLP and large language models (LLMs)
Kevin's contrarian view on AI ethics

References in this episode:

The world's first AI comic book
Kevin's book: Become an AI Company in 90 days
Kevin's company: Prolego
Snorkel to automate data labeling
Andrew Yang on AI
"D" Das, Founder and CEO of Sorcero, on AI and the Future of Work

Giselle Mota, TEDx speaker and top 100 "Future of Work" thought leader, discusses how AI helps us become better humans Jun 12, 2022

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Giselle Mota, Future of Work principal at ADP, overcame dyslexia and discovered passions for math and AI. Her parents immigrated from the Dominican Republic and taught Giselle the power of perseverance. Now she speaks frequently to global audiences about the importance of using AI responsibly to hire and nurture talent.
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How AI accelerates the process of learning new skills
How to mitigate the impact of bias in automated decision-making
The dangers of using facial recognition in recruiting and hiring processes
How to design organizations that celebrate cognitive diversity
How to optimize hiring processes to avoid confirmation bias
How many jobs will be created by AI before 2025 according to the World Economic Forum
Giselle's coaching for females and under-represented minorities in STEM fields

References in this episode:

Your $250 discount from Hello Landing using Giselle's promo code: giselle_itg
Bernard Marr, Futurist
Joy Buolamwini, AI social justice advocate
Bryan Talebi from Ahura AI on AI and the Future of Work
Kai Nunez from Salesforce on AI and the Future of Work

Harish Batlapenumarthy, co-founder of Emtropy Labs, discusses the future of supervised machine learning to improve customer service Jun 05, 2022

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Harish Batlapenumarthy always believed culture is more important than anything else at work. He and the team at Emtropy Labs set out to identify how groups communicate in companies using machine learning. They ultimately landed on listening to customer feedback to automatically generate insights into customer experience metrics like churn risk.
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A better way to identify customer sentiment using supervised machine learning
What techniques are most effective for labeling training data
Why traditional methods of measuring customer satisfaction are poor at understanding actual customer satisfaction
How to mitigate the impact of bias in training data
How Harish defines "responsible AI"
Why there will always be a need for human customer success managers

References in this episode...

Emtropy Labs
Chandra Khatri from Got It AI on AI and the Future of Work

Dr. Eric Daimler, Obama's AI authority, professor, and serial entrepreneur, discusses how technology influences public policy May 29, 2022

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Eric Daimler advised the Obama administration on how to have conversations about AI. His work led to the creation of the AI office within the Science Advisory Group of The White House which has now become a cabinet-level position reporting to The President. Eric's a walking encyclopedia about AI policy and he shares all in this fascinating discussion about the future of technology, ethics, and society.
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What it's like to shift from academia to venture capital to entrepreneurship to public service
How the growth of data sources as well as data creates an unimaginably large number of data relationships
How Conexus applied categorical algebra to bring together 300k databases at Uber
Why it's data integration limitations that are constraining AI innovation more than compute, storage, or algorithms
How category theory is required for smart contracts on blockchains and quantum computing
How Eric thinks about when AI should make autonomous decisions vs. requiring human intervention
The role of regulation in managing job elimination due to AI
The ethical framework Eric proposes for evaluating what decisions AI can and should make
The challenges of enforcing data policies like GDPR in the EU
How Eric defines "responsible AI"

References in this episode...

Eric's company, Conexus
The President's Council of Advisors on Science and Technology
Aftershock which includes a chapter by Eric
Eric on Twitter

Mahesh Ram, CEO of Solvvy (acquired by Zoom), discusses the future of conversational AI for customer service May 22, 2022

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Mahesh Ram, founder and CEO of Solvvy, set out to "give everyone back time". His company was recently acquired by Zoom to improve customer experiences using conversational AI. Mahesh was inspired by his work using speech recognition to improve business English learning at Global English. Solvvy was founded in 2015 and has raised funding from an exceptional group of investors including previous "AI and the Future of Work" guest Rory O'Driscoll from Scale Venture Partners.
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About the three waves of chatbot technology
Why "more deflection" doesn't need to translate into "lower satisfaction"
How Calm uses Solvvy to deliver automated customer service
Why AI based on semantic similarity is better than traditional scripted chatbots
Why "putting the user first" and "not hiding the live agent" is essential for gaining consumer trust in chatbots
How to address latent bias in data used to train AI models
Why bots will never replace live agents

References in this episode...

Rory O'Driscoll from Scale Venture Partners on AI and the Future of Work
Solvvy acquired by Zoom
Chandra Khatri from Got It AI on AI and the Future of Work

Chandra Khatri, Chief Scientist and Head of AI at Got It AI, discusses the future of NLP for better customer experiences with bots May 15, 2022

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Chandra Khatri, Chief Scientist and Head of AI at Got It AI, was a key team member in the early days of AI at eBay, Amazon, and Uber. He has been on the cutting edge of NLP research for more than a decade and now leads AI at Got It AI. Chandra and the team are making it easier for customers to have conversations with bots. He's making innovative use of transformers and active learning to use "small data" to train sophisticated large language models to automatically answer customer questions in fields as diverse as healthcare, financial services, education, and defense.
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What the AI culture is like at eBay, Amazon, and Uber
About transformers, why they’re important, and how they're improving NLP accuracy
How we’ve moved AI from search ranking (recommender systems) to other use cases including operations and bots
How the rise of open source and no-code tools is making “Google-like” AI maturity accessible to every company
How startups with limited access to data can use transfer learning to improve AI accuracy
What’s holding back broader adoption of AI in the enterprise
How the rise of Technical Product Managers (TPMs) is bridging the gap between engineers and business analysts
How to eliminate bias from training data
How long before we’ll all have a personal JARVIS

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Paul Lee, co-founder of Synesis One, discusses the future of NLP and AI data harvesting using games and blockchains to earn NFTs May 08, 2022

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Paul Lee, serial entrepreneur and co-founder of Synesis One, combined his love of games with a passion for NLP and AI. He realized language ontologies can be developed by players solving problems in games. They can be rewarded with NFTs backed by tokens on a blockchain. A brilliant idea... from a Renaissance man who is also a medical doctor and the founder of a care marketplace for veterinarians. This is a fascinating one!
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The future of large language models (LLMs)
How ontologies can be crowd-sourced using games with NFTs as rewards
How Synesis One is gamifying data yield farming with tokens on a Solana blockchain
About the first graphic novel that is also an NFT-based sci fi game
Why Paul selected Solana instead of the more popular Ethereum blockchain
How to mitigate bias from entering ontologies generated by gamers

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