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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 betterWhy automation beyond IVR is saving contact centersWhat happens when AI makes bad decisionsWhen it's ok to "nudge" users to work with the bot... even when they ask for a humanThe ethical implicatio ns of bots pretending to be human What new careers  will be created when call center agents are replaced by botsReferences in this episode:Replicant on TwitterThe Replicant blogThe Open Ethics AI initiativeKrishna Gade from Fiddler on AI and The Future of WorkJohn Oliver's riff on automation
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 enterpriseHow Krish and the team build an AI voice assistant that joins  meetings in 100 countries every dayHow to start with 85% ASR (automated speech recognition) accuracy and make it better using AIHow to mitigate the impact of biased training data where foreign accents and uncommon speech patterns are underrepresentedWho owns voice transcripts used to train AI modelsHow being recorded changes participant behavior in meetingsThe future of "voice-first" computingReferences in this episode:Krishna Gade from Fiddler discusses AI explainabilityFireflies on Twitter A whole breast, AI-based ultrasound system was cleared by the FDA to improve mammogram accuracyDentists now use AI to improve the accuracy of spotting cavities
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 numbersMeta Research is improving NLP accuracy with less training data by using our understanding of how humans learn languagesGiselle Mota, TEDx speaker and top 100 "Future of Work" thought leader, on AI and the Future of Work
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 YahooHow the culture at Pivotal Labs inspired Ben's philosophy on quantifying the employee experienceHow Ben convinced a former Apple leader why QSTAC is better than NPSWhy CSAT scores don't actually correlate with how satisfied employees are at workHow the principles of Design Thinking can be used to run ITWhat IT must do to avoid being "Uber-ed" like the taxi industryReferences in this episode...Dion Hinchcliffe on AI and the Future of WorkTim Crawford on AI and the Future of WorkMatt K. Parker on AI and the Future of WorkO'Reilly's 2021 AI adoption in the enterprise surveyQSTAC
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 industriesWhy "artificial intelligence" isn't really "intelligent"What is an "AI strategy"... and what are the four questions to ask to define yoursHow a fintech company in the UK reduced costs to transfer money by 90% with AIWhat's required to earn the public's trust in AIWhy every company should be required to have a "social license" to use AIReferences in this episode...Fortune article on human-machine collaboration by FrancoisFrancois' "BCG Expert" profileDr. Eric Daimler, Obama's AI authority, on AI and the Future of WorkThe McKinsey "AI in 2020 Survey"
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 elseWhy sales is the only job function where "30% productivity is the norm"What's required to use AI to help B2B sales peopleHow to use RPA to automatically update CRM systemsHow Stephen's winning against Salesforce, Microsoft, and HubSpotWhat to look for in a mentorReferences in this episode...The Collective[i] blogStephen on TwitterGoogle PaLMMahesh Ram, Solvvy CEO (acquired by Zoom), on AI and the Future of Work
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 transcriptMelanie Mitchell on MSNBCBlake Lemoine's interview with Steven Levy in Wire Alan Turing's Imitation Game
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 ethicsReferences in this episode:The world's first AI comic bookKevin's book: Become an AI Company in 90 daysKevin's company: ProlegoSnorkel to automate data labelingAndrew Yang on AI"D" Das, Founder and CEO of Sorcero, on AI and the Future of Work
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 skillsHow to mitigate the impact of bias in automated decision-makingThe dangers of using facial recognition in recruiting and hiring processesHow to design organizations that celebrate cognitive diversityHow to optimize hiring processes to avoid confirmation biasHow many jobs will be created by AI before 2025 according to the World Economic ForumGiselle's coaching for females and under-represented minorities in STEM fieldsReferences in this episode:Your $250 discount from Hello Landing using Giselle's promo code: giselle_itgBernard Marr, FuturistJoy Buolamwini, AI social justice advocateBryan Talebi from Ahura AI on AI and the Future of WorkKai Nunez from Salesforce on AI and the Future of Work
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 learningWhat techniques are most effective for labeling training dataWhy traditional methods of measuring customer satisfaction are poor at understanding actual customer satisfactionHow to mitigate the impact of bias in training dataHow Harish defines "responsible AI"Why there will always be a need for human customer success managersReferences in this episode...Emtropy LabsChandra Khatri from Got It AI on AI and the Future of Work
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 2022Dave's advice to innovators: "don't pave cow paths"What's different about the venture ecosystems in Silicon Valley and EuropeWhat's ahead for Web3 and blockchain in the enterpriseWhy the future of decentralized services requires centralized platformsIf 2021 was a Grateful Dead song...References in this episode:Dave's 2022 predictionsDave's favorite marketing book: They Ask You AnswerMoxie Marlinspike on Web3Anshu Sharma and the privacy vaultCausal inference wins the 2021 Nobel Prize in Economics
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 storytellingWhat the cave paintings in Lascaux, France from 15,000 BCE teach us about artificial intelligenceHow archetypal stories like Star Wars and Harry Potter use the same plot lines as a Steve Jobs product launchWhy startup pitch decks need to "create maps for the audience"What it means to be human in the age of machine intelligenceWhy Henry Ford famously chose black as the color for the Model T FordReferences in this episode:The Asia Tech PodcastPikkal, Graham's podcast agencyThe cave paintings in Lascaux, FranceThe first computers (who were humans... and mostly women)
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 enterpriseNew approaches to address the "small data" AI problemAbout the ethics training we should require for AI algorithm developersWhy those who fear bots taking over are the modern equivalent of LudditesWhat it means to be human when machines are sentientThe moonshot AI idea Rob's most excited aboutReferences in today's episode:Krishna Gade from Fiddler on AI and the Future of WorkAdeptID for matching helping employees upskillMythic for edge AI
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 CEOBarr Moses, Monte Carlo CEODerek Steer, Mode Analytics CEOPeter Fishman, Mozart Data CEOKrishna Gade, Fiddler CEOCharity Majors, Honeycomb CTO
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 serviceHow the growth of data sources as well as data creates an unimaginably large number of data relationshipsHow Conexus applied categorical algebra to bring together 300k databases at UberWhy 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 makeThe challenges of enforcing data policies like GDPR in the EUHow Eric defines "responsible AI"References in this episode...Eric's company, ConexusThe President's Council of Advisors on Science and TechnologyAftershock which includes a chapter by EricEric on Twitter
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 technologyWhy "more deflection" doesn't need to translate into "lower satisfaction"How Calm uses Solvvy to deliver automated customer serviceWhy AI based on semantic similarity is better than traditional scripted chatbotsWhy "putting the user first" and "not hiding the live agent" is essential for gaining consumer trust in chatbotsHow to address latent bias in data used to train AI modelsWhy bots will never replace live agentsReferences in this episode...Rory O'Driscoll from Scale Venture Partners on AI and the Future of WorkSolvvy acquired by ZoomChandra Khatri from Got It AI on AI and the Future of Work 
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 FaceChristopher Nguyen on AI and the Future of Work
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 rewardsHow Synesis One is gamifying data yield farming with tokens on a Solana blockchainAbout the first graphic novel that is also an NFT-based sci fi gameWhy Paul selected  Solana instead of the more popular Ethereum blockchainHow to mitigate bias from entering ontologies generated by gamersReferences in this episode:Synesis OneMind AIQuantum NoesisEdmundo Gonzalez from Marpai Health on AI and the Future of Work 
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
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 PlatformD on TwitterPaddy Padmanabhan on AI and the Future of Work
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