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Deon Nicholas, CEO of Forethought, discusses how human-centered AI improves the customer experience
4 september 2022 · 35 min
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Deon Nicholas, Forethought Co-Founder CEO, grew up in inner city Toronto stocking shelves in a pharmacy before learning to code at an early age. He started Forethought in 2017 after learning the value of answering customer questions working for companies like Facebook and Pure Storage.
Deon has since raised $92M from an exceptional group of investors including funds like Steadfast Capital and NEA plus celebrities including Gwyneth Paltrow, Ashton Kutcher, and Robert Downey Jr. Deon won the TechCrunch Disrupt Battlefield startup competition in 2018 and is a member of the Forbes 30 under 30. He’s also a mentor and advisor to founders of color.
Listen and learn...
How AI connects customers to the right agents then indicates the likelihood of a support interaction escalating
How to use historical data to help live agents fix problems faster
The evolution of chatbots from decision trees to AI
How to combine generic language models with domain-specific data to increase the accuracy of NLP
How to solve the problem of bias encoded in data
How GANs, generative adversarial networks, work
Why ML pipelines need to be monitored like web apps
References in this episode...
Forethought
Deon on Twitter
Forward, the Forethought customer event
Krishna Gade from Fiddler on AI and the Future of Work
Monotonic selective risk may solve the AI bias problem
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Jim Lawton, worldwide authority on industrial robots, discusses how humans and machines are partnering to improve safety and efficiency in manufacturing
28 augustus 2022 · 42 min
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Jim Lawton, VP and GM of Robotics Automation at Zebra Technologies, met the founder of Roomba, Rodney Brooks, at MIT nearly three decades ago. It inspired a lifetime passion for robots that help humans. Since then, he has influenced generations of robotic automation technology at companies from Rethink Robotics to Zebra Technologies. This is a fascinating discussion that will make you reconsider what robots can do and why humans shouldn't feel threatened by them.
Listen and learn...
How Jim cultivated a passion for robots... and why that makes him "the cool dad"
How innovation in robotic technology is helping AMRs, autonomous mobile robots, perform more human-like tasks with less training
Which "dirty, dull, dangerous" tasks are the best candidates for robotic automation
How new training techniques are reducing the time required to train a robot from 300 hours to a fraction of that which "democratizes automation"
What's required to keep humans safe from robots
How supplementing humans with robots for a task like picking items from warehouse shelves using machine vision saves 12-15 miles of walking per day while increasing accuracy
How techniques like SLAM and machine learning are making it easier to program robots to do more complex tasks more accurately with zero or minimal coding
Which new careers will be created by industrial robots... and which will be eliminated
Two quick ways to know if a factory using robots and humans is safe
Why Jim's passion is using robots to help people be their best selves
References in this episode:
The Zebra blog
Tiernan Ray discusses bot sentience on AI and the Future of Work
Is Google's LaMDA sentient?
Machines will out-perform humans in all tasks within 45 years... which is a good thing for us
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Kamal Ahluwalia, Eightfold President, discusses how he grew a unicorn and how AI helps find the right career for everyone in the world
21 augustus 2022 · 37 min
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Kamal Ahluwalia and the Eightfold team set out to find the right career for everyone in the world. Six years later after having raised more than $200M from a legendary group of investors and built a talented 600-person team, they’re well on their way. Kamal joined Eightfold as President in 2018 from a successful tech career at companies like Model N and Selectica. Hear Kamal share his vision for how to use data and AI to help employees upskill, reskill, and ultimately find careers they love.
Listen and learn…
How Eightfold operationalizes the bold vision to find “the right career for everyone in the world"
What has helped Eightfold scale to support customers in 140 countries and 19 languages
How an AI HR platform helps with upskilling for internal mobility but also with hiring and talent-skill matching
Why legacy HR tech software failed by focusing on “compliance vs. employee needs”
Why automation won’t eliminate jobs… but every job will change as a result of AI
How understanding human potential starts with understanding data stored outside HCM in “systems of work” like CRM and ITSM
How to mitigate the impact of biased data to use AI to achieve inclusion and diversity goals
How AI can identify roles where employees are likely to succeed… even when they have no experience performing skills they require
What are the ethical implications of using AI to hire and promote employees
References in this episode:
OneTen.org and the role of Eightfold in its formation
Renee Steenvorden from Randstad on AI and the Future of Work
Giselle Mota from ADP on AI and the Future of Work
Ashu Garg from Foundation Capital on AI and the Future of Work
The BigScience BLOOM LLM
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Turn the tables! Former guest, author, and QSTAC CEO Ben Brennan interviews Dan Turchin about AI and the future of work
14 augustus 2022 · 35 min
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Ben Brennan, former guest, accomplished author, and QSTAC CEO, guest hosts today's "turn the tables" episode... and interviews Dan Turchin, PeopleReign CEO. Learn about Dan's vision for augmenting human intelligence with machine intelligence and how AI will be used to give the next billion employees back an hour a day.
Listen and learn...
The origin story behind this podcast
What's required to use AI to improve employee experiences
How many new jobs will be created by AI in the next five years according to The World Economic Forum
The right way for investors to identify talent and catalyze innovation
How Ben learned the value of human-centric AI from his days at Yahoo, Box, and Twitter
References in this episode:
Mark Settle, serial CIO, on AI and the Future of Work
Dr. Mark van Rijmenam, The Digital Speaker, on AI and the Future of Work
Rory O'Driscoll from Scale Ventures Partners on AI and the Future of Work
Ashu Garg from Foundation Capital on AI and the Future of Work
Glenn Solomon from GGV on AI and the Future of Work
The great Katie Stanton, PeopleReign investor from Moxxie Ventures
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Gadi Shamia, CEO at Replicant, discusses the future of bots for contact center automation to improve customer service
7 augustus 2022 · 40 min
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Gadi Shamia, Replicant CEO and co-founder, has been delivering innovation to help customers have better service experiences for more than a decade. He helped grow and sell Echosign to Adobe for $400M in 2011 then went on to lead Talkdesk which most recently raised $230M at a $10B valuation. Gadi's a serial entrepreneur and a deep thinker who believes in the power of AI to make people better.
Listen and learn:
Why we hate calling customer support... and how AI is making the experience better
Why automation beyond IVR is saving contact centers
What happens when AI makes bad decisions
When it's ok to "nudge" users to work with the bot... even when they ask for a human
The ethical implicatio ns of bots pretending to be human
What new careers will be created when call center agents are replaced by bots
References in this episode:
Replicant on Twitter
The Replicant blog
The Open Ethics AI initiative
Krishna Gade from Fiddler on AI and The Future of Work
John Oliver's riff on automation
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Krish Ramineni, Fireflies CEO, discusses the future of AI voice assistants to make meetings more productive
31 juli 2022 · 35 min
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Krish Ramineni, Fireflies CEO and Microsoft alum, learned the value of NLP working with Skype and Office as a Product Manager. He set out to solve a problem he had: note-taking in meetings and following up afterward. Fireflies has been used by more than 60,000 organizations to make meetings more efficient. Krish has raised nearly $20M from an A-list group of investors including Canaan Partners and Khosla Ventures.
Listen and learn...
The evolution of speech recognition technology in the enterprise
How Krish and the team build an AI voice assistant that joins meetings in 100 countries every day
How to start with 85% ASR (automated speech recognition) accuracy and make it better using AI
How to mitigate the impact of biased training data where foreign accents and uncommon speech patterns are underrepresented
Who owns voice transcripts used to train AI models
How being recorded changes participant behavior in meetings
The future of "voice-first" computing
References in this episode:
Krishna Gade from Fiddler discusses AI explainability
Fireflies on Twitter
A whole breast, AI-based ultrasound system was cleared by the FDA to improve mammogram accuracy
Dentists now use AI to improve the accuracy of spotting cavities
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Joel Eagle, Senior Director at McDonald's, shares how AI helps serve 70 million meals every day
24 juli 2022 · 38 min
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Joel Eagle, McDonald's Senior Director of Technology and Architecture, started his career in healthcare and logistics before being promoted to technology leadership roles at one of the world's most iconic companies. Joel and his team manage the cloud infrastructure that powers 40,000 restaurants for two million employees... and helps serve happiness in 120 global markets to the equivalent of the world's population every 100 days. The technology that makes McDonald's work is phenomenally complex. Joel makes it sound simple. Hear from the expert. Oh, and stick around to the end for McDonald's fun facts!
Listen and learn...
How Joel channels Ray Kroc's vision when architecting systems: "restaurants should run themselves... it should be as simple as a shoebox with money going in and going out."
Why Joel says "if it's easier for the crew it's better for the consumer."
How AI, wearables, IoT, and AR are all parts of the McDonald's technology vision.
Why the shift supervisor at a McDonald's restaurant has one of the hardest jobs in the world.
The anatomy of a McDonald's restaurant: "...they're mini factories run by a server."
How AI is improving the drive-thru experience and personalizing the dining experience.
What's required to support the McDonald's app which generates 16% of the company's revenue and is the world's most downloaded food ordering app.
References in this episode...
McDonald's by the numbers
Meta Research is improving NLP accuracy with less training data by using our understanding of how humans learn languages
Giselle Mota, TEDx speaker and top 100 "Future of Work" thought leader, on AI and the Future of Work
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Ben Brennan, QSTAC CEO and author of Badass IT Support, discusses how to quantify the employee experience
17 juli 2022 · 34 min
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Ben Brennan, QSTAC CEO, author, and former IT exec at Yahoo and Verizon Media, is a world traveler, a musician, and a trained psychologist with passions for philosophy and psychotherapy. Not exactly the traditional background for an IT leader. Early roles at Pivotal Labs and Jawbone taught Ben that bringing humanity to technology is the future of work. He since published Badass IT Support and started QSTAC to measure the employee experience.
Listen and learn...
What Ben learned managing 100 people and supporting 15,000 employees at Yahoo
How the culture at Pivotal Labs inspired Ben's philosophy on quantifying the employee experience
How Ben convinced a former Apple leader why QSTAC is better than NPS
Why CSAT scores don't actually correlate with how satisfied employees are at work
How the principles of Design Thinking can be used to run IT
What IT must do to avoid being "Uber-ed" like the taxi industry
References in this episode...
Dion Hinchcliffe on AI and the Future of Work
Tim Crawford on AI and the Future of Work
Matt K. Parker on AI and the Future of Work
O'Reilly's 2021 AI adoption in the enterprise survey
QSTAC
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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
10 juli 2022 · 39 min
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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.
Listen and learn...
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
References in this episode...
Fortune article on human-machine collaboration by Francois
Francois' "BCG Expert" profile
Dr. Eric Daimler, Obama's AI authority, on AI and the Future of Work
The McKinsey "AI in 2020 Survey"
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Stephen Messer, AI entrepreneur, CEO, mentor, and web pioneer, discusses the future of automation in B2B sales
3 juli 2022 · 35 min
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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.
Listen and learn...
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
References in this episode...
The Collective[i] blog
Stephen on Twitter
Google PaLM
Mahesh Ram, Solvvy CEO (acquired by Zoom), on AI and the Future of Work
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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.
26 juni 2022 · 41 min
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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.
Listen and learn...
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
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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
19 juni 2022 · 39 min
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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.
Listen and learn...
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
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Giselle Mota, TEDx speaker and top 100 "Future of Work" thought leader, discusses how AI helps us become better humans
12 juni 2022 · 33 min
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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.
Listen and learn...
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
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Harish Batlapenumarthy, co-founder of Emtropy Labs, discusses the future of supervised machine learning to improve customer service
5 juni 2022 · 29 min
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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.
Listen and learn...
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
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Dr. Eric Daimler, Obama's AI authority, professor, and serial entrepreneur, discusses how technology influences public policy
29 mei 2022 · 40 min
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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.
Listen and learn...
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
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Mahesh Ram, CEO of Solvvy (acquired by Zoom), discusses the future of conversational AI for customer service
22 mei 2022 · 37 min
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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.
Listen and learn...
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
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Chandra Khatri, Chief Scientist and Head of AI at Got It AI, discusses the future of NLP for better customer experiences with bots
15 mei 2022 · 33 min
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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.
Listen and learn…
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
References in this episode…
Got It AI
Chandra on LinkedIn
Hugging Face
Christopher Nguyen on AI and the Future of Work
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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
8 mei 2022 · 35 min
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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!
Listen and learn...
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
References in this episode:
Synesis One
Mind AI
Quantum Noesis
Edmundo Gonzalez from Marpai Health on AI and the Future of Work
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Phil Johnson, founder and CEO of Master of Business Leadership, discusses how leaders can overcome adversity by improving their EQ
1 mei 2022 · 33 min
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Phil Johnson, founder and CEO of Master of Business Leadership (MBL) and veteran tech exec, overcame adversity as a kid when he was diagnosed with dyslexia. Phil taught himself to learn differently. He has helped organizations generate more than $1.5B by teaching leaders how to improve their emotional intelligence.
Listen and learn...
Why emotional intelligence is the most important skill for leaders.
Why Phil says leaders battle our "500 million year old brain that doesn't like change."
What Phil means by this: "we're the virus on the planet and we need to adapt to change to survive as a species."
Why toxic environments are leading to record low employee engagement that is costing businesses over a trillion dollars per year.
What Phil means by "we're born with an unconscious mind that gets wired as we grow to form habits."
How leaders can endure pain and channel passion to get more energy and feel more motivated.
How Apple's hiring practices and Putin's invasion of Ukraine are related.
Questions to ask to hire candidates with the highest EQ.
References in this episode...
Matt K. Parker on AI and the Future of Work discussing "radical enterprises"
The Master of Business Leadership program
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Dipanwita ("D") Das, Founder and CEO of Sorcero, discusses how AI improves lives by helping life sciences experts accelerate medical research
24 april 2022 · 36 min
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Dipanwita ("D") Das, Founder and CEO of Sorcero, is an award-winning technology entrepreneur and AI innovator. She is the CEO & Co-founder of Sorcero, a venture-backed AI Saas product startup, focused on using AI and NLP to inform critical decisions to improve lives. Prior to starting Sorcero, D was the founder & CEO of 42 Strategies, managing digital transformation projects for Richard Branson's Virgin United, Al Gore's Climate Reality Project, and Bloomberg Philanthropies.
Listen and learn...
Why D says "...doing something that leaves a legacy of good" is a core element of Sorcero's mission.
What D means by "...humans plus AI is greater than humans alone."
How Sorcero strives to "accelerate vs. automate" decisions.
How Sorcero helped doctors diagnose a rare form of metastatic breast cancer and save a life.
What it means for patients that healthcare data is growing at a 36% CAGR.
How Sorcero marries heuristics with NLP and transfer learning to help researchers.
D's advice to females in male-dominated fields: "The only way to win is to persist."
References in this episode...
The Sorcero Life Sciences Intelligence Platform
D on Twitter
Paddy Padmanabhan on AI and the Future of Work
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Christopher Nguyen, serial entrepreneur, AI professor, and CEO of Aitomatic, discusses human-first vs. data-first approaches to machine learning
17 april 2022 · 33 min
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Christopher Nguyen, serial entrepreneur and CEO of Aitomatic, realized big data isn't the only answer when training AI models. In fact, when doing preventive or predictive maintenance on industrial equipment, only small data is available. He and his team asked what if instead of relying on automated data collection we codify expertise in the heads of a small number of experienced technicians. And thus human-first AI was born. Aitomatic was launched in 2021 to productize the new field. It builds on Christopher's legacy of innovation having spent time in academia, at Google, and other startups including Arimo before its acquisition by Panasonic.
Listen and learn...
Why human-first vs. data-first AI may disrupt traditional approaches to machine learning.
How automation problems in physical-first vs. digital-first industries require different solutions.
How to build machine learning models when there isn t enough data.
Why the world is in short supply of human expertise.
How people feel about having their jobs automated away.
Why the topic of ethical AI is controversial.
The science behind neuromorphic computing.
References in today's episode...
Aitomatic
Christopher on Twitter
Gordon Wilson, CEO of Rain Neuromorphics, on AI and the Future of Work
Thanks to Tess Hau from Tess Ventures for the introduction to Christopher!
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Matt K. Parker, author and engineering leader, discusses how radical enterprises are defining the future of work
11 april 2022 · 40 min
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Matt K. Parker, author and engineering leader formerly at Pivotal Labs, profiled 13 collaborative work cultures in his book A Radical Enterprise. They're devolving control to employees and rethinking traditional organizational structures to give teams unprecedented levels of freedom. Not surprisingly, they're more successful than their peers.
Listen and learn:
What is a radical enterprise and what is radical collaboration?
Why do employees do better work when they have freedom to define their own rules?
What are the benefits of embracing the concepts of self-organizing and self-managing teams?
Why do traditional performance management techniques like annual reviews create implicit threats in the workplace that demotivate employees?
What does it mean to make every employee "a company of one"?
Why, according to Deming, "a bad system will beat a good employee every time."
References in this episode:
Matt's website and a link to his Slack community
A Radical Enterpise published by IT Revolution
Gary Bolles on AI and the Future of Work
Jason Corsello from Acadian Ventures on AI and the Future of Work
Turn the Ship Around by L. David Marquet
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Jaime Ramirez, CEO and Founder of Preventor, discusses the future of AI for identity verification to prevent fraud online
3 april 2022 · 29 min
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Jaime Ramirez, CEO and Founder of Preventor, and stalwart of the Miami tech scene, shares how banks and brands are using new authentication technology to make life online safer. Automating authentication to verify age and other personal attributes is cheaper than manual verification and also more accurate. The stakes are high if automated decisions are wrong. Hear Jaime explain the best way to automate the process of verifying your age or gender with AI.
Listen and learn:
How banks are automating authentication processes to comply with know your customer (KYC) and anti-money laundering (AML) regulatory requirements
How the US compares with other countries, specifically Latin America, when it comes to KYC compliance and enforcement
When it's ok to use technology to automate identity verification vs. when humans need to intervene
Which forms of biometric data are most accurate for identity verification
How to mitigate the risk of bias when using AI plus selfies to verify age
When we'll finally move beyond passwords for identity management
What's fueling the net outflow of tech talent from Silicon Valley to Miami
References in this episode:
John Whaley from UnifyID on AI and the Future of Work
Jaime's blog posts
Preventor
Privy
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Edmundo Gonzalez, Co-founder and CEO of Marpai Health, discusses the future of AI to improve healthcare
28 maart 2022 · 38 min
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Edmundo Gonzalez, Co-founder and CEO of Marpai Health, realized our health plans have a significant impact on the quality of our health. Using AI to predict who will need care and when can lead to better health care plans and a healthier population. Edmundo's on a mission to make it easier for all of us stay healthy... which first requires the traditional healthcare system to be disrupted.
Listen and learn:
How to turn America's "sickcare" system into a true "healthcare" system.
How AI can make better decisions about who is likely to need care and when.
How to use data to recommend treatment early to prevent significant, more costly procedures later.
How to optimize deep learning models using patient data to balance accurately predicting who will need care (precision) with how many recommendations are made (recall).
The ethical implications of using patient data to make healthcare decisions.
Why Big Tech doesn't own the future of healthcare.
References in this episode:
Paddy Padmanabhan on AI and the Future of Work
Marpai Health
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Doug Kerwin, AI children's book author, discusses the importance of educating kids about working with AI
20 maart 2022 · 33 min
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Doug Kerwin is an engineering leader and entrepreneur who recently published "Riley and Bot: Jobs for Robots and Jobs for Me". By day, he's a Vice President of Cloud Engineering at Prudential. After hours, he's a dad who wants the best for his daughter and needed to answer her questions about the impact of AI on jobs.
Listen and learn...
What inspired an engineer without an AI background to write a kids book about AI
Why Doug concludes that "no job will be completely AI-resistant"
New careers that are being created by the introduction of AI-related technology
How GitHub Copilot is helping programmers write better code faster
Which innately human skills will never be automated
References in this episode:
Riley and Bot: Jobs for Robots and Jobs for Me
Woebot Health
GitHub Copilot
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Phil McKinney, former CTO of HP and CEO of CableLabs, shares the formula for turning ordinary teams into innovation machines
13 maart 2022 · 37 min
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Phil McKinney, former HP CTO and one of the "50 most innovative" thinkers on the planet according to Fast Company, has helped develop products used by more than a half billion people. Hear Phil put on a master class in how to turn ordinary teams into innovation machines.
Listen and learn...
Phil's seven rules of innovation.
What it means to have a "T-shaped" career... and why you should want one.
How Phil got his start in podcasting... in 2005!
Phil's secrets for how to become more creative.
The top skill CEOs look for in new hires.
References in this episode:
Phil's TEDx talk on the impostor syndrome
Bob Davis, Phil's mentor
Phil's website
Phil's Killer Innovations podcast
Thanks to Dr. Mamoun Samaha for the introduction to Phil.
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Rene Steenvoorden, Chief Digital Officer at Randstad, discusses how AI humanizes the recruiting process
6 maart 2022 · 36 min
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Rene Steenvoorden, Chief Digital Officer (CDO) at HR behemoth Randstad, started in IT 30 years ago when technology was a distraction and IT gear was relegated to server rooms in the basement. He's a two-time CIO of the year award winner and a visionary in HRTech. Rene's an evangelist for using technology to improve the employee experience having served in similar roles at Rabobank, McKinsey, and Procter & Gamble. You might ask why a 60-year old staffing firm needs a CDO. Well, you won't after meeting Rene!
Listen and learn:
How chatbots are eliminating the "black hole of recruiting"
Why you may land your next job in the metaverse
The single biggest factor that determines how candidates rate the recruiting process
Which disruptive technologies are improving the hiring process
Why retaining existing employees is much less expensive than recruiting new ones
The role of technology in blue collar vs. white collar hiring processes
How to mitigate the impact of bias when training ML models to select candidates
References in this episode:
Randstad's future of work insights
Bryan Talebi from Ahura AI on AI and the Future of Work
Panos Siozos from LearnWorlds on AI and the Future of Work
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Gordon Wilson, CEO and co-founder of Rain Neuromorphics, shares how to re-create a carbon-based brain on a silicon chip
27 februari 2022 · 35 min
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Gordon Wilson, CEO and founder of Rain Neuromorphics, turned a childhood fascination with science fiction into an entrepreneurial passion to recreate the human brain on a chip. Neuromorphic computing is an emerging field of AI that strives to build synthetic nervous systems for use on edge computing devices. The challenges are numerous but if Gordon and his team succeed they may make Isaac Asimov's bold visions of life with robots seem quaint in a decade.
Listen and learn:
How a love of science fiction combined with being raised in a home with entrepreneurial parents led to the founding of Rain Neuromorphics.
How to create neurons, synapses, and massively deep neural nets with code
Which core technologies from 1985 and 1999 enabled today's AI revolution.
The difference between the "physics-based" AI used in neuromorphic computing and traditional digital AI .
What Gordon hears from venture investors who don't get neuromorphic computing.
Why Gordon says "...any sufficiently complex technology is indistinguishable from magic."
Where we are today with neuromorphic computing and the path to a full artificial nervous system.
References in today's episode
Rain Neuromorphics
Gordon on Twitter
Rob May on AI and the Future of Work
Thanks to Rob May for the intro to Gordon!
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Jason Corsello, VC @ Acadian Ventures and WorkTech expert, discusses the future of tech for better employee experiences
21 februari 2022 · 42 min
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Jason Corsello, Founder & General Partner at Acadian Ventures, didn't set out to be a venture capitalist. He was a tech industry analyst and product manager before falling in love with HRTech and the future of work. He has become one of the most prominent investors focused on disruptive technologies defining the new employee experience based in part on what he learned growing Cornerstone OnDemand from $40M to over $500M ARR.
Listen and learn...
What Jason learned about entrepreneurship and the challenges of post-IPO life as part of the leadership team at Cornerstone OnDemand
Recent Acadian investments... and what got Jason excited enough to invest
The evolution of software delivery from on-prem to SaaS to self-assembly
The challenges and benefits of being a solo GP vs. a corporate VC
How startups can disrupt LinkedIn.... and payroll
The single biggest predictor of startup success
References in today's episode:
Compa: deal desk for talent acquisition
Merge: open AI to integrate with all HR, accounting, recruiting, and payroll platforms
Panos Siozos from LearnWorlds on AI and the Future of Work
Bryan Talebi from Ahura AI on AI and the Future of Work
Gary Bolles on AI and the Future of Work
Acadian Ventures
Thanks to Dave Kellogg for the intro to Jason!
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Dr. Mamoun Samaha, serial CTO, security expert, and professor, discusses the future of AI in cybersecurity
13 februari 2022 · 40 min
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Dr. Mamoun Samaha, CTO at the International Technological University and Professor of Computer Science at Northeastern University, is an operator and academic with a long track record of success in the classroom and board room. His research spans the areas of mobility, security, and networking. He has strong opinions about what it means to be human in an age of automation. Worth a listen to hear his insights about how technology will change our lives in the next decade.
Listen and learn...
What's required to be a great CTO.
Why Dr. Samaha says "change is now exponential... it's no longer linear."
Why AI-powered security solutions at the edge of the network are critical.
Tips for startups selling technology to CTOs.
The one product Dr. Samaha would purchase today if it existed.
The skills every high schooler should learn that will never be replaced by AI.
References in this episode...
Phil McKinney, Dr. Samaha's role model
John Whaley on AI and the Future of Work
Intrinsic ID
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Paddy Padmanabhan, CEO of Damo Consulting and author, discusses the future of technology in healthcare
6 februari 2022 · 36 min
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Paddy Padmanabhan, CEO of Damo Consulting, has spent 20 years educating healthcare CIOs about digital transformation and writing about healthcare innovation. Damo helps organizations turn new technology into better patient outcomes in areas like telemedicine, electronic health records, and patient engagement platforms. Paddy shares wisdom about innovative solutions that will improve our quality of life for decades ahead.
Listen and learn...
Paddy's single biggest insight from research for his book "Healthcare Digital Transformation"
Which HealthTech trends are getting the most attention from venture capitalists
The role of the digital health experience in patient adoption of healthcare services
Which upstarts are disrupting HealthTech incumbents
How the pandemic gave rise to telemedicine and how that is impacting the future of healthcare
How limited access to patient data will constrain AI-related innovation in healthcare
Whether or not Apple, Amazon, and Google - owners of your data - will replace hospitals as primary healthcare providers
References in this episode...
Teladoc acquires Livongo
Oracle acquires Cerner
Amazon Care
The Big Unlock
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Dave Kellogg, serial CEO, investor, and SaaS metrics expert, shares his (provocative) tech predictions for 2022
30 januari 2022 · 47 min
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Dave Kellogg, serial CEO, investor, and advisor, is a prolific blogger over at Kellblog.com. His annual predictions are a must-read for anyone in tech. This year's insights were no exception. Dave recently joined Balderton Capital as an executive in residence. His illustrious career has spanned exec stints at iconic companies like Host Analytics, Salesforce, MarkLogic, and Business Objects before it was acquired by SAP. Among other accolades, Dave’s SaaStr talks routinely rank in the top few most watched.
Dave owns two dubious distinctions: in over 100 episodes, he’s one of only three repeat guests on the podcast. He’s also the biggest Grateful Dead fan we know. The two are only loosely correlated.
Listen and learn:
The single SaaS metric that matters most in 2022
Dave's advice to innovators: "don't pave cow paths"
What's different about the venture ecosystems in Silicon Valley and Europe
What's ahead for Web3 and blockchain in the enterprise
Why the future of decentralized services requires centralized platforms
If 2021 was a Grateful Dead song...
References in this episode:
Dave's 2022 predictions
Dave's favorite marketing book: They Ask You Answer
Moxie Marlinspike on Web3
Anshu Sharma and the privacy vault
Causal inference wins the 2021 Nobel Prize in Economics
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Graham Brown, technologist, award-winning podcast host, and storyteller, shares what entrepreneurs need to know to create better pitch decks
23 januari 2022 · 38 min
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Graham Brown, storyteller extraordinaire, has traveled the world learning about work, culture, and technology. He's a cognitive psychologist with a passion for AI but also a student of history and art who is on a personal mission to link the present and future with great stories from the past. Graham's also the CEO of Pikkal, a podcast agency, and the host of the Asia Tech Podcast.
Listen and learn:
What entrepreneurs need to know about the art of great storytelling
What the cave paintings in Lascaux, France from 15,000 BCE teach us about artificial intelligence
How archetypal stories like Star Wars and Harry Potter use the same plot lines as a Steve Jobs product launch
Why startup pitch decks need to "create maps for the audience"
What it means to be human in the age of machine intelligence
Why Henry Ford famously chose black as the color for the Model T Ford
References in this episode:
The Asia Tech Podcast
Pikkal, Graham's podcast agency
The cave paintings in Lascaux, France
The first computers (who were humans... and mostly women)
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Rob May, venture partner at PJC and serial AI entrepreneur, shares what's holding back AI adoption in the enterprise
16 januari 2022 · 36 min
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Rob May, serial AI entrepreneur and investor, started as a hardware engineer but realized he could have more of an impact as an entrepreneur and investor. Since then, he has started companies including Backupify (acquired by Datto) and Talla (conversational AI) and invested in over 100 startups. Rob's a deep thinker and the author of the popular Inside AI weekly newsletter and Investing in AI podcast.
Listen and learn...
What's holding back AI adoption in the enterprise
New approaches to address the "small data" AI problem
About the ethics training we should require for AI algorithm developers
Why those who fear bots taking over are the modern equivalent of Luddites
What it means to be human when machines are sentient
The moonshot AI idea Rob's most excited about
References in today's episode:
Krishna Gade from Fiddler on AI and the Future of Work
AdeptID for matching helping employees upskill
Mythic for edge AI
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Elliot Shmukler, CEO of Anomalo, discusses why data quality monitoring is the future of personalization
9 januari 2022 · 33 min
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Elliot Shmukler, CEO and founder of Anomalo, needed a better way to monitor data quality at scale. He previously led growth teams at Wealthfront, Instacart, and LinkedIn and experienced firsthand the impact of incomplete or inaccurate data. Anomalo has now raised nearly $40M from amazing investors including Norwest, Two Sigma, and Foundation to make data problems a thing of the past.
Listen and learn...
What Elliot means when citing Jeff Weiner from Linkedin: "If you're launching a rocket even a one degree course change can mean you won't land on the moon."
About the data quality issue nobody noticed at Instacart that impacted millions of users.
How the role of the data scientist will change as AI platforms automate data quality monitoring.
When there's a need for humans in the loop to override AI systems.
Why every product will soon be as good at personalization as Spotify and Netflix.
The number one skill every student needs to learn that will never be replaced by machines.
Past episodes referenced in today's discussion:
Milin Desai, Sentry CEO
Barr Moses, Monte Carlo CEO
Derek Steer, Mode Analytics CEO
Peter Fishman, Mozart Data CEO
Krishna Gade, Fiddler CEO
Charity Majors, Honeycomb CTO
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Luke Arrigoni, Data Scientist and CEO of Arricor, shares how to turn enterprise data into decisions with AI
2 januari 2022 · 34 min
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Luke Arrigoni started Arricor in 2012 to help large companies make sense of their data. Since then, he and the team have taught organizations like Goldman Sachs, AT&T, and Thomson Reuters about the principles of AI. His secret? Focus on the business problem and the right technology approach becomes obvious.
Listen and learn...
How UPS uses AI to automatically assign the right tax code for packages
What responsibility AI developers have for the decisions their algorithms make
How to clean dirty data to make it ready for AI model training
When to use neural nets vs. gradient-boosted trees
Which tasks are good candidates for classifier models vs. NLP
Which job skills are future-proof... and which are likely to be replaced by automation
References in this episode:
Fish from Mozart Data on AI and the Future of Work
Airflow for data pipeline automation
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Peter Fishman, co-founder and CEO of Mozart Data, discusses data pipelines and why they're defining the future of data analytics
27 december 2021 · 37 min
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Peter Fishman ("Fish"), co-founder and CEO of Mozart Data, had a vision for making it easy for any business to unlock the value of their data via a modern data stack. He and his co-founder believe rote data engineering work shouldn't require teams of in-house data engineers. Fish turned his PhD in Economics and passion for statistics into a successful, venture-backed YC company that is defining the future of data analytics.
Listen and learn...
Why Fish believes "not every business gets value out of their data... but every business can."
The role of data pipelines in automating the cleaning and transforming of data.
Fish's prediction for where humans will be needed for data analysis in a decade.
What Fish learned working with David Sacks at Yammer.
How bacon hot sauce inspired the founding of Mozart Data.
References in this episode:
Barr Moses from Monte Carlo on AI and the Future of Work
Derek Steer from Mode on AI and the Future of Work
Fivetran for simplifying data integration
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Shawn Merani, Founder and Managing Director of Parade Ventures, discusses how to start a venture fund and find great entrepreneurs
20 december 2021 · 35 min
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Shawn Merani, entrepreneur and venture investor, has started two venture funds and been an operator at early stage companies including Liquidnet and ReachLocal. Shawn has invested in some amazing companies including Clubhouse, Dollar Shave Club, and Stance. He shares his definition of "hustle" and the challenges of raising money for a venture fund vs. raising money for a company.
Listen and learn...
How to raise your first venture fund.
Why the goal of Parade Ventures is "to be the first call great founders make when raising money."
Shawn's secret to getting access to over-subscribed deals with high-profile investors.
Why Shawn makes it a priority to meet every one of Parade's founders every other week.
The biggest mistake founders make when pitching investors.
What one entrepreneur did to convince Shawn to invest in a first meeting.
References in this episode:
Intro: book in-demand experts for a video call
Sonar: change intelligence software
Moichor: animal diagnostics
Zi Wang from Timeless
Parade Ventures
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Mel Engle, CEO of Predictive Oncology, shares how AI is curing cancer
12 december 2021 · 31 min
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Mel Engle, executive and cancer survivor, has spent more than 30 years in and around the intersection of healthcare and technology. He's now the CEO of Predictive Oncology using AI and patient data to develop personalized cancer treatments. Mel discusses how research from Carnegie Mellon is being commercialized to accelerate the future of healthcare.
Listen and learn...
How Mel and his team have turned cancer detection and prevention into a data problem.
How to use AI to figure out which tumor types can be healed by which chemical compounds to reduce the time required to develop new cancer treatments.
How to mitigate the impact of bias in patient data when using AI to make high-stakes decisions.
How long before AI will be more accurate at detecting cancer than human doctors.
What's ahead for AI in healthcare for the next decade.
References in this episode:
Predictive Oncology
Dr. Bob Murphy from Carnegie Mellon
Rene Morkos from ALICE Technologies on AI and the Future of Work
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Matt Cowell, CEO at QuantHub, shares why the future workforce needs to be data literate
5 december 2021 · 31 min
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Matt Cowell started QuantHub in 2018 to help upskill and reskill employees to prepare for careers in data and AI. The QuantHub data skills platform exists to satisfy the growing demand for data-fluent team members. Amazing organizations like Uber and Southern Company use QuantHub to improve data literacy for employees. Plus, Matt's the first Alabamian on the podcast. Roll tide!
Listen and learn...
How a Chemist landed in IT and eventually became a venture-backed entrepreneur
Why there's a need for a "Duolingo for data literacy"
What are the skills required for "data citizens" vs. "data storytellers"
Why "every employee will soon be a knowledge worker"
Why data literacy will be part of general education requirements in the future
References in this episode...
Gary Bolles on AI and the Future of Work
Panos Siozos on AI and the Future of Work
Bryan Talebi on AI and the Future of Work
Derek Steer on AI and the Future of Work
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Dan Grunfeld, Director at Lightspeed and author of "By the Grace of the Game", discusses leadership, entrepreneurship, and basketball
26 november 2021 · 33 min
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Dan Grunfeld, former professional basketball player and operator at Lightspeed Venture Partners, discusses the parallels between sports and entrepreneurship. His grandma's escape from the Holocaust inspired him to share her story, one he has been writing for five years. Dan's family history is inspirational. His advice for entrepreneurs is timeless.
Listen and learn...
Why professional basketball is a lot like entrepreneurship
Dan's lessons from experiencing hardship on the court... and how to recover from setbacks
How the best entrepreneurs find product-market fit
How his 96 year-old grandma was saved twice by Raoul Wallenberg
Why Dan says "...basketball was sent from heaven for my family"
Dan's advice about discipline for aspiring authors: "if you snooze once, you can snooze every day."
References in this episode:
Rene Morkos on AI and the Future of Work
Panos Siozos on AI and the Future of Work
Bernie and Ernie on ESPN 30 for 30
Dan on Twitter: @dan_grunfeld
Dan's personal site: DanGrunfeld.com
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Matt Compton, CEO and Co-founder of Filo.co, shares why Zoom isn't what teams need to host virtual meetings
21 november 2021 · 37 min
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Matt Compton's a restless tinkerer from Indianapolis who started Filo.co to solve a problem he had. He needed something better than Zoom to be able to spend more time with his family without being on the road three weeks a month. He and his co-founders joined a venture studio and built the prototype for Filo.co in four weeks. Now it powers virtual employee events for an impressive list of companies.
Listen and learn...
What's really required to make virtual events productive
How Filo's better than Zoom
How Anaplan crushed sales kickoff using Filo
The future of virtual spaces
Why we don't need a metaverse
References in this episode:
Gary Bolles on AI and the Future of Work
Neelima Parasker on AI and the Future of Work
Filo.co
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Phil Heltewig, CEO of conversational AI platform Cognigy, on the future of customer service automation
14 november 2021 · 38 min
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Phil Heltewig, co-founder and CEO of Cognigy, the low-code conversational AI platform for managing customer service bots, discusses how new AI technologies are improving the support experience. Phil started Cognigy in 2016 with two co-founders and has since raised $55M from Insight Partners among others. The team is now about 100 employees and boasts an amazing customer list including Lufthansa and Bosch.
Listen and learn...
What Teddy Ruxpin has to do with the future of conversational AI.
About the highs and lows of the entrepreneurial journey: "...there are days when you're wondering if you can make payroll..."
How customer service bots "are designed to help humans in call centers, not replace them."
What are the biggest technical challenges when applying NLP in narrow enterprise domains with limited training data.
How Cognigy thinks about mitigating the impact of bias in AI models.
Why your experience re-booking your flight will be much better in the future.
References in this episode:
Cognigy on Twitter
Cognigy
AI and the Future of Work with Panos Siozos
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Dr. Panos Siozos, Founder and CEO of LearnWorlds, raised $32M to build a novel edtech company that's helping creators monetize custom courses
7 november 2021 · 39 min
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Dr. Panos Siozos, LearnWorlds CEO, went from academic to high-tech CEO and raised $32M from Insight Partners to help creators monetize e-learning courses. Dr. Siozos is our first guest from Cyprus and his story about building a remote-first, global team should inspire international entrepreneurs everywhere. As Dr. Siozos says, "everyone has something to teach... that someone else wants to learn." This is a great opportunity to understand the future of learning... in 30 minutes.
Listen and learn...
How Dr. Siozos transitioned from being an academic and researcher to a high-tech CEO
Why creators need a better platform to share and monetize custom e-learning courses
How technology is redefining the learning experience and why "the industrial education experience" is antiquated
How future innovation in the areas of AI, AR, and VR will increase engagement rates for e-learning
Why Dr. Siozos says "...learning is the only superpower we possess as humans."
References in this episode:
Bryan Talebi, Ahura AI CEO, on AI and the Future of Work
Jordan Husney, Parabol CEO, on AI and the Future of Work
LearnWorlds
Podchaser token: 9h5nXFjBF3PXuSmfUzrE
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Scott Zoldi, FICO Chief Analytics Officer, discusses how AI and your data are used to make decisions about fraud and credit risk
31 oktober 2021 · 31 min
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Scott Zoldi, FICO Chief Analytics Officer and PhD in Theoretical Physics, shares how to use AI responsibly. FICO uses consumer data and machine learning models to make decisions ranging from fraud to credit risk. Hundreds of thousands of signals can be used to make a single decision by comparing new data with historical data. Scott's team is focused not just on making accurate decisions but also ensuring the signals used and the decision-making process are bias-free.
Listen and learn...
How Scott's team uses AI to make automated decisions using consumer data
Why Scott's priorities are "explainability first and performance second"
Why the principles of "humble AI" are as important as the principles of ethical AI
What's required to increase public trust in AI-based decisions
What's the role of data scientists in the future when AutoML is prevalent
What Scott means when he says "models aren't biased when they're built, they're only biased in production"
References in this episode:
Scott's blog posts at FICO
@ScottZoldi on Twitter
Facebook's AI experiment gone awry
Amazon's facial recognition failure
Thanks to Benjamin Baer for the intro to Scott!
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Bindu Reddy, CEO of Abacus AI, discusses the latest in AI research and what's required to make developing AI apps as easy as building web pages
24 oktober 2021 · 26 min
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Bindu Reddy, CEO and co-founder of Abacus AI, was a product exec at Google and Amazon and an accomplished entrepreneur before setting out to make AI model management accessible to non data scientists. Bindu has since raised more than $40M from investors like Index Ventures, Coatue, Ram Shriram, Deep Nishar, and others. Her team is investing in core AI research and building a platform to make it easy to deploy models trained on deep neural nets with tabular data. Hear Bindu's vision... then go follow her on Twitter for provocative tweets like the one we discuss in this episode :).
Listen and learn...
How Bindu became an AI enthusiast after an algorithm helped her previous company increase revenue 40%
What Bindu learned at Google and AWS... and what she has had to un-learn to grow Abacus AI
How AI is being used to reduce customer churn
Why Bindu's vision is to make creating and managing AI models "as easy as creating podcasts or websites"
Why building bias into AI models isn't necessarily bad
References in this episode:
Krishna Gade on AI and the Future of Work
Jeff Meyerson on AI and the Future of Work
Abacus.ai
Bindu on Twitter
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Charity Majors, CTO and co-founder of honeycomb, discusses observability, how to build great software, and what she learned not to do from Facebook
17 oktober 2021 · 44 min
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Charity Majors, CTO and co-founder at honeycomb, grew up in rural Idaho and dropped out of college. This is her unlikely journey from pianist to successful high-tech entrepreneur. She's a pioneer in the monitoring and observability space who turned her learning at Facebook into a company focused on helping developers find and fix bugs faster. Charity's opinionated, thoughtful, and one of the most outspoken critics of, well, the status quo :).
Listen and learn...
What motivated Charity to start a career in tech having been a "perennial dropout"
Why "ops has a well-deserved reputation for masochism"
Why Charity says the "Kool-aid at Facebook is strong and potent"
Why it's impossible to troubleshoot software bugs with high cardinality data
How Charity defines observability
What it means to practice observability-driven development (ODD) and why it should replace test-driven development (TDD)
References in this episode:
Charity's personal site
Charity on Twitter
Charity's manifesto on observability
Thanks to Rachel Chalmers for making this episode happen!
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Kai Nunez, Vice President of Research & Insights at Salesforce, shares the secret to making tech teams own responsibility for AI ethics
10 oktober 2021 · 41 min
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Kai Nunez, VP Research & Insights at Salesforce, didn't always know she wanted to pursue a career in AI because it didn't exist as a field. Her dad was a linguist and she became interested in human-computer interaction at a young age. Kai's deep concern for values-based leadership and operating with integrity led her to become a leading voice in the DEI and AI ethics communities. Today, her teams are creating a culture of awareness about the impact tech has on underserved populations. She's a passionate advocate for educating teams to do the right thing... even when nobody's looking.
Listen and learn...
About Salesforce's real "biggest competitor"
Why DEI matters in technology
How Kai lives the value of "being a respectful truthteller"
Why the future of software includes data audits to mitigate the risk of bias
What happened when Kai presented an unpopular idea to Marc Benioff
References in this episode...
Krishna Gade from Fiddler on AI and the Future of Work
AI ethics at Salesforce
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Rene Morkos, CEO and Founder of ALICE Technologies, shares how algorithms are changing the construction industry
3 oktober 2021 · 39 min
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René Morkos, CEO and Founder of ALICE Technologies, grew up wanting to build things. That passion led him to degrees in Construction Management and an adjunct professorship at Stanford. In 2015, he founded ALICE to improve the efficiency of complex construction projects. Rene has since raised nearly $40M from an incredible list of investors including Lightspeed, Merus, and Future Ventures.
Listen and learn...
What René learned from his first job after college working on construction sites in Afghanistan
Why ConstructionTech has attracted nearly $6B since 2014
How algorithms figure out what 6,000 people on a construction site should do every day
What the world will be like in ten years when technology is fully adopted in the construction industry
Why "startups are really just R&D departments for large companies"
What's hard about building startups...that they don't teach you in CEO school
References in the episode...
ALICE Technologies
ALICE on Twitter
AI and the Future of Work with Rachel Chalmers from Alchemist Accelerator
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Gary Bolles, best-selling author of The Next Rules of Work, shares how to manage through disruption and find your passion
26 september 2021 · 42 min
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Gary Bolles, entrepreneur, venture advisor, and best-selling author, is a deep thinker who established roots in Silicon Valley in the 80s to pursue his joint passions for technology and exploring what he calls the three boxes of life - learning, work, and leisure. He’s the author of The Next Rules of Work which was published August 31. He’s also the chair for the Future of Work at Singularity University and the founder of eParachute among other companies. Oh, and his LinkedIn courses have helped train more than 800,000 students.
Listen and learn...
How the son of a laid off minister became one of the foremost authorities on the future of work
What opportunities are being created by "The Great Reset"
How technology is redefining work... and redefining our identity as humans
What it means that we're moving from a "workforce" to a "worknet"
About the $10 million exercise... and why it's the best way to find your passion
Why living the acronym "PACE" is the best way to ensure future career success
References in today's episode...
Gary's site
Singularity University
AI and the Future of Work with Charlene Li