Host Dan Turchin, PeopleReign CEO, explores how AI is changing the workplace. He interviews thought leaders and technologists from industry and academia who share their experiences and insights about artificial intelligence and what it means to be human in the era of AI-driven automation. Learn more about PeopleReign, the system of intelligence for IT and HR employee service: http://www.peoplereign.com.
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© 2023 AI and the Future of Work
AI and the Future of Work
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13 Subscribers
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Benny-Bear
5 out of 5 stars
The best guests!
I discovered this podcast late and realized dozens of my heroes are guests. Such a gold mine of info, awesome for founders, VCs, IT folks and anyone with a vested interest in the future of work. 10/10, absolutely recommend this pod.
ASobering
5 out of 5 stars
A New Favorite in My Feed 🎧
Whether you’re well established in the world of AI, or just getting started in your career, this is a must-listen podcast for you! Dan does an incredible job leading engaging conversations with industry leaders who’ve actually experienced success themselves, and every. single. episode. is jam-packed with insightful takeaways. Highly recommend listening and subscribing!
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- © 2023 AI and the Future of Work
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- Bob Rogers, AI expert, physicist, author, and CEO of Oii.ai, discusses what it was like to co-author a book with ChatGPTBob Rogers, AI pioneer, entrpreneur, and author, started Oii in 2019 to automate supply chain design. The company uses advanced modeling and AI to optimize supply chain planning and automate the configuration of complex networks. Bob started his career as a Harvard physicist using neural networks to measure activity near black holes in deep space. During his 35 year career Bob has been a trailblazer in using AI to solve complex problems. He’s also an Expert in Residence for AI at UCSF Smarter Health and was Chief Data Scientist in the Data Center Group at Intel as well as co-founder and Chief Scientist at Apixio, a Healthcare AI company. Additionally, he co-authored the books Artificial Neural Networks: Forecasting Time Series and “De-mystifying Big Data and Machine Learning for Healthcare“. Bob received his BA in physics at UC Berkeley and his PhD in physics at Harvard. Listen and learn... How neural nets work... from a pioneer What it was like to co-author a book with ChatGPT What surprised Bob most when he tested the boundaries of ChatGPT Why ChatGPT spews credible nonsense The ethics of using generative AI to sell content derived from copyrighted materials Why ChatGPT became an instant global phenomenon How OpenAI trained ChatGPT "to be nice" Is there another "AI winter" ahead? References in this episode: The book Bob co-authored with ChatGPT Can AI be an author of a publication in a scientific journal? Bob's previous book: Demystifying AI for the enterprise Stanford's Dr. Fei-Fei Li in conversation with OpenAI CTO Mira Murati Futurists Peter Scott and David Wood on AI and the Future of Work Bob's company: Oii.ai0 comments0
- Dr. JP Vasseur, Cisco Fellow, prolific author, and holder of 600 patents, discusses how AI is making networks smartCisco got its start in 1984 connecting computers at Stanford University to form the first local area network. Other than maybe Microsoft or Apple, it’s easy to argue Cisco has had more influence on the growth of the internet, and by extension, the modern world, than any other company. 15 years after Cisco started today’s guest was hired to begin what would become a legendary career. Nearly 25 years later JP Vasseur has changed the world again and again. In the process, he has been recognized as the #1 inventor at Cisco with 600 patents to his name. He has authored or co-authored 35 standards, published three books on internet technologies, and has been recognized as a Cisco Fellow, a prestigious title awarded to the top few most-distinguished technical leaders at the company. Today we learn from a living legend about the past, present, and future of technology. Listen and learn... How AI at Cisco has evolved in the past 12 years Disruptive vs. incremental innovation How predictive networks learn The design principle JP used when designing the first predictive network The challenges of predicting outages using unsupervised vs. supervised machine learning JP's process for innovating like a startup within Cisco Innovation in networking we can expect in the next decade JP's best memory from the early days of Cisco References in this episode: JP's blog Kevin Roose from the New York Times had a disturbing conversation with Microsoft's Bing Chambers Talks, the great podcast from former Cisco CEO John Chambers Yann LeCun on how babies learn Phil McKinney, former HP CTO, on AI and the Future of Work0 comments0
- AI and the Future of Work Mar 13 · 31m Navindra Yadav, CEO and Founder of Theom, discusses how AI is used to prevent data breachesNavindra Yadav is the co-founder and CEO of Theom, the cloud data security leader. He and the team recently raised a $16M series A from an impressive group of investors including Microsoft’s M12 venture fund and Ridge Ventures. Prior to Theom, Navindra was the founder and CEO at Tetration and prior to that he was a distinguished engineer at Cisco. Navindra’s work has received more than 182 patents. For full disclosure, Dan is an investor in Theom. Thanks to Patty Hatter, great former guest, for introducing us to Navindra. Listen and learn... What CISOs least understand about the security of enterprise data Why CASBs (Cloud Access Security Brokers) are inherently vulnerable The hardest technical problem Theom has solved How to assign a “criticality score” to data How to use NLP (natural language processing) to detect PII (personally identifiable information) How to protect from unauthorized data access through social engineering Why data stores like Snowflake, Databricks, and Confluent don’t already monitor data inappropriately leaving their platforms? When consumers will be able to trust that data they provide SaaS vendors is secure. The security startup Navindra and Dan are ready to fund! References in this episode… Navindra’s company: Theom.ai Patty Hatter on AI and the Future of Work Congressman Ted Lieu on the creation of an “FDA” equivalent to regulate AI0 comments0
- Andi Mann, Sageable CEO and AIOps pioneer, discusses enterprise AI wins and the impact of automation on jobsWe often discuss the future of work for enterprise employees. What technology will they use, how will people and machines interact, and how teams will be organized when geography and language are no longer barriers. Few have spent more time in and around enterprise service management than today’s guest and few are better qualified to share insights about what’s ahead. Andi Mann has been a technology leader in technology companies around the world since the 90s. He founded Sageable, the digital transformation advisory services practice, in 2015 and has also recently served in roles that include CTO for DevOps at Splunk and VP Products and Strategy at CA which is now part of Broadcom. Andi and I both did time at BMC Software in the early 2000s. Andi is the author of multiple books including The Innovative CIO, he’s a sought after speaker, and tech provocateur who is never shy about what’s wrong with IT and where the world of digital is headed. Thanks to friend of the podcast Steve Kaplan for the intro to Andi. Listen and learn… Why Andi summarizes his career this way: "I make computers do more work to allow people to do more creative things" The best use of enterprise AI Andi has seen How Andi helped an industrial transportation company save a billion dollars Why “less complex systems can’t understand more complex systems” Why the best use of AI is targeting “known knowns” by augmenting vs. replacing human intelligence How to overcome the lack of trust in AI Why AI won’t eliminate any jobs… and why it will create many new ones Skills to invest in today that will never be replaced by automation References in this episode... Dr. Lance Eliot writes about ChatGPT dispensing therapy advice Colin Fletcher, father of the term “AIOps”, on AI and the Future of Work Andi’s book “ The Innovative CIO" Andi’s company Sageable0 comments0
- Meredith Broussard, NYU professor, AI ethics authority, and featured expert in Coded Bias, discusses the social implications of AIMeredith Broussard is one of the most visible, vocal leaders in the emerging field of algorithmic accountability. Professor Broussard is a data scientist and Associate Professor at NYU whose research focuses on AI in investigative reporting and using data analysis for social good. Meredith is the author of Artificial Unintelligence: How Computers Misunderstand the World and the forthcoming More Than a Glitch: Confronting Race, Gender, and Ability Bias in Tech. Among other things, Professor Broussard was featured in the seminal documentary Coded Bias. Today's discussion is about one of the most important topics in our field and in this episode we explore it with someone whose name is on a shortlist of AI ethics pioneers. You’ve heard me say repeatedly coursework in AI ethics should be required for every student graduating with a technical degree. Here's why! Listen and learn... How AI reveals bias encoded in society Why it's important to always ask "what could go wrong" What is the new field of "algorithmic accountability reporting" What the Blueprint for an AI Bill of Rights may mean for bad acting companies What's the right role for the federal government in AI regulation How to assign an "accountability score" to algorithms The ethical issues related to AI we'll be discussing in a decade References in this episode... More Than a Glitch, Professor Broussard's new book... and her "love letter" to an amazing group of women who are pioneers in the emerging field of algorithmic accountability Professor Broussard's personal website The racist soap dispenser Joy Buolamwini's Algorithmic Justice League Rumman Choudary, formerly head of the META team at Twitter Cathy O'Neil's ORCAA The ethical judgments built into generative AI models Google's "stochastic parrots" debacle The Agnes Irwin School outside Philadelphia0 comments0
- Arvind Jain, CEO of Glean, Rubrik co-founder, and Google Distinguished Engineer, discusses the future of enterprise searchArvind Jain, Glean CEO and Rubrik co-founder, started Glean in March 2019 to make it easier to find answers strewn across myriad SaaS apps. Prior to Glean, Arvind had an incredible run at data security company Rubrik which he co-founded in 2014. Prior to Rubrik Arvind was a distinguished engineer at Google. Glean became a unicorn last year having raised $100M in May from a list of iconic investors including Lightspeed, General Catalyst, Kleiner Perkins, and Sequoia. Enterprise search is one of the best examples of a field that was in desperate need of disruption. In this episode, we meet one of the disruptors. Listen and learn... Where there's a gap in traditional search technology including Google How to retrieve the best answers across hundreds of SaaS apps How to understand what users need even when they don't know the right way to ask for it How to use LLMs like ChatGPT to improve search accuracy How products like Alexa and Siri are teaching us to ask questions using natural language rather than searching with keywords How to personalize enterprise search without improperly using user data What is the future of knowledge management References in this episode... The ethics of ChatGPT Seth Earley from Earley Information Science on AI and the Future of Work The Glean blog0 comments0
- Parul Saini, Uber's Global Head of Enterprise Apps, shares how AI supports thousands of employees at a rapidly growing global companyParul Saini has been a technology leader at tech-first companies like Zuora, Splunk, and Uber for more than a decade in roles with increasing responsibility. She has had a birdseye view of AI tech trends and the future of work. In her current role at Uber, her service portfolio includes contact center, employee productivity, and identity management applications. Today, we learn from an expert how to manage enterprise apps that support thousands of employees for a rapidly growing global company. Listen and learn... Why "empathy" is the baseline for IT How to hire and retain IT talent How to navigate the dual challenges of being a technology leader and people manager simultaneously How to use AI to increase the velocity of hiring decisions Why great CIOs... are also great at sales and marketing What Parul has learned from Shantanu Narayen, Adobe CEO, and Dara Khosrowshahi, Uber CEO One thing only Uber insiders know Parul's advice for aspiring female IT leaders References in this episode... Mark Settle, seven-time CIO, on AI and the Future of Work How autonomous vehicles are changing global traffic patterns0 comments0
- Binny Gill, Founder and CEO of Kognitos, discusses how LLMs like ChatGPT are making us all programmersBinny Gill started his career as a programmer after studying CS and Engineering at IIT Kanpur and later UIUC, University of Illinois Urbana-Champaign. He then had an impressive eight-year run as a technology leader at Nutanix, the hyper converged infrastructure company, eventually becoming its CTO for cloud services. In January 2021, Binny left Nutanix to start Kognitos based on a bold vision to make everyone a programmer. In this discussion, we learn about his journey and how generative AI just may change everything. Thanks to Steve Kaplan for the intro to Binny. Listen and learn: Binny's inspiration for starting Kognitos: "...why should humans need to think like machines... when machines can now think like humans?" What makes programming so hard. Why the future of programming is using natural language to describe the features you want. How computing interfaces restrict us from communicating like humans when programming. Why Binny says "generative AI is the new electricity." The most important leadership lesson Binny learned working alongside iconic leaders at IBM. References in this episode: How Petals just became the BitTorrent of LLMs Phil McKinney, former HP CTO, on AI and the Future of Work The Kognitos blog0 comments0
- AI and the Future of Work Jan 30 · 34m Daphne Jones, best-selling author of "Win When They Say You Won't" and serial CIO, shares advice for anyone who has ever experienced imposter syndromeToday’s guest belongs on the Mt. Rushmore of amazing female leaders we've interviewed on this podcast. Daphne and I met in November while co-presenting at the HMG Strategy event in New York City. Daphne’s energy is infectious. Her passion for inspiring leaders was obvious on stage and even more obvious when we met afterward. Daphne’s new book Win When They Say You Won’t: Break Through Barriers and Keep Leveling Up Your Success became an instant best seller. Listen to this one and you’ll understand why. Before becoming an author, Daphne started The Board Curators to help others prepare for serving as paid company directors. She serves on numerous boards including AMN Healthcare and Masonite International. Earlier in her career, Daphne was a serial CIO serving in IT leadership roles at companies including IBM, Johnson & Johnson, Pfizer, and GE Healthcare. Listen and learn... Daphne's remarkable path from poor kid in rural Illinois to global CIO How to overcome racial bias as a black female The subtle ways bias infiltrates organizations Where imposter syndrome originates... and how to conquer it How to "version your life" to adopt a growth mindset How to use Daphne's EDIT process to achieve your goals Why DEI "won't be a thing any more" in a decade References in today's episode... Daphne's book: Win When They Say You Won't Charlene Li on AI and the Future of Work Giselle Mota on AI and the Future of Work Kai Nunez on AI and the Future of Work Daphne's website Fun facts about AI adoption in 20230 comments0
- Special episode: Dave Kellogg, serial CEO, investor, and SaaS pioneer, shares his (provocative) tech predictions for 2023This is one of my favorite episodes of the year. It’s our third annual long, strange trip into the mind of a Silicon Valley legend. Dave Kellogg is one of the best marketers, CEOs, tech provocateurs, and board whisperers around. He was an executive at iconic companies like SAP, MarkLogic, and Salesforce turned investor and board director who is now an executive in residence at Balderton Capital. In this episode, we discuss, well, just about everything that matters for the tech economy… startup growth metrics, generative AI, how to get funded in 2023, and of course our favorite jam band. Listen and learn: What Dave got right… and not so right… in his 2022 predictions How startups can survive downturns How to fix the problems at Salesforce, Amazon, and Facebook What single theme will characterize 2023 in Silicon Valley What will happen to startups that raised massive rounds in 2021 Why virtual companies won’t outperform companies built around hubs in tech centers What’s ahead for consumption-based pricing and PLG Why generative AI poses an existential threat to Google References in this episode: Dave’s (excellent) blog Peter Fishman, Mozart Data CEO, on AI and the Future of Work Derek Steer, Mode co-founder, on AI and the Future of Work How ChatGPT can detect Alzheimer's disease0 comments0
- Carter Busse, CIO of future of work unicorn Workato, shares why it's hard to own technology... at a technology companyCarter Busse has been leading IT organizations for more than two decades. He has been an IT leader at successful, high-growth organizations ranging from Salesforce to MobileIron to 8x8 to Cohesity Among his many accolades, he was recently named a 2022 ORBIE Bay Area CIO of the year and was also the first IT leader hired at Salesforce back in 2000. Carter understands the challenges of managing tech infrastructure for high-growth tech companies where there’s zero margin for error because everyone thinks they know tech better than you. CIOs are like plumbing: nobody appreciates them when everything’s working but they’re the first to get blamed when there’s a blockage. He's now the CIO of rising star Workato, the integration automation platform that has raised more than $400M, was most recently valued at nearly $6B, and has about 1,000 employees in 13 offices around the world. Listen and learn... What a CIO does. Why CIOs have the shortest tenure in the C-suite. The role of AI to improve employee experiences. How to recreate the Apple Genius Bar at work... for at-home employees. How generative AI will be used in the enterprise. Key questions to ask when evaluating new uses of AI. How CIOs deliver strategic value and avoid being "technology traffic cops". References in this episode: What happens when ChatGPT is wrong? Mark Settle, seven-time CIO, on AI and the Future of Work Workato0 comments0
- Darren Murph, Head of Remote at GitLab and Guinness world record holder, discusses what's required to make remote-first work cultures succeedDarren Murph has been Head of Remote at GitLab for 3.5 years and has been a part of its rise to prominence. His leadership helped shape GitLab’s remote-first culture. GitLab went public in 2021 and has about a $7B market cap. It’s one of the leading DevOps platforms and has grown its team to more than 2k employees. Before GitLab Darren has been an entrepreneur, journalist, and author. Oh, and by the way, he holds one of the most awesome records in the Guinness Book of World Records. Listen and learn: How to make work an organizational principle instead of a perk or policy What a Head of Remote does... and why every company will soon hire one Why there's no such thing as "hybrid" work The number one mistake organizations make when transitioning to remote work How remote-first teams make the most of in person team How GitLab uses the personal "readme" to help remote employees get to know each other How to Zoom happy hours with "community service hours" How Darren earned his place in the Guinness Book of World Records References in this episode... Matt K. Parker on AI and the Future of Work Darren Murph on Twitter Chase Warrington, Head of Remote at Doist How voice assistants are helping the elderly age in place ElliQ, the voice assistant from Intuition Robotics0 comments0
- AI wins and losses in 2022... and predictions for 2023 with two AI legends: tech futurists Peter Scott and David WoodToday's episode first appeared on Peter Scott's (excellent!) AI and You podcast. Peter Scott and David Wood are two of the most recognized AI futurists. Both are respected authors, speakers, and visionaries. Peter is a popular TEDx speaker and long-time NASA engineer. David was recently named one of the "top 100 most influential people in technology". Today's discussion is a must-listen in which we discuss the future of technology, the future of work, and the future of humanity. In this one, Peter hosted and the three of us had a round table discussion about everything from generative AI to sentience. Let us know what you think after listening. Our DMs are open on Twitter and LinkedIn. Listen and learn... Where AI won and lost in 2022 Our predictions for AI in 2023 What will the impact of ChatGPT be on the future of technology What tasks are best-suited for generative AI How we'll regulate generative AI when it spews nonsense What is artificial general intelligence (AGI) and when we'll achieve it What is sentience and are today's bots sentient? How and where the US AI Bill of Rights falls short vs. AI regulation in the EU What we should be doing to systematize the practice of responsible AI References in the episode: Peter Scott on AI and the Future of Work Eric Olson from Consensus on AI and the Future of Work Michael Osterrieder from vAIsual on AI and the Future of Work Jim Lawton from Zebra on AI and the Future of Work Gary Bolles on AI and the Future of Work Meta's Galactica bot failure0 comments0
- Rich White, UserVoice founder and Fathom CEO, discusses the future of meetings and how he made Zoom calls suck lessWe’ve met some brilliant product minds on this show over the years. If you’re a long-time listener you hopefully enjoyed discussions with legends like Phil McKinney, former CTO of HP, and Philippe Cases, founder and CEO of Topio Networks, among others. Today’s guest belongs on that list. Rich and I first met when he was starting UserVoice around 2010 and I was at ServiceNow. I love his approach to innovation. He pioneered the idea that listening to customers can be as easy as adding a feedback tab to every web page back when all that existed were clunky survey tools. Today, thousands of sites use the widget he invented. He’s now out to make meetings more productive by helping attendees focus on conversations while an app transcribes them and offers simple buttons to annotate what’s happening. It’s obvious once you’ve used Fathom that this is the future of meetings. Rich White is not only a serial innovator but also a repeat entrepreneur who has raised from a group of exceptional investors over the years and was part of the YC Winter 2021 batch. Enjoy! Listen and learn... As a product expert and innovator, how to know when you've found "an itch worth scratching" What is "product-market fit" and how to know when you've achieved it What is a viral coefficient and how do you calculate it How the "jobs to be done" framework led Rich to develop the key feature of Fathom The hardest problem Fathom has solved... has nothing to do with voice transcription How Fathom trains developers to practice responsible AI References in this episode: Project Linchpin from the US Army is centralizing more than 685 AI projects Phil McKinney on AI and the Future of Work Philippe Cases on AI and the Future of Work Fathom0 comments0
- AI and the Future of Work Dec 18 · 35m Special episode live from the BOUNDARYLESS Future of Work event in SF: Rani Mavram, Complete CEO, and Ankit Jain, Aviator CEOSpecial episode this week! We recorded two live discussions from Turing's BOUNDARYLESS "Future of Work" event in San Francisco. In the first, Rani Mavram, Complete.so CEO, discusses using data to transform compensation policies from being a liability to an asset for high-growth companies. In the second, Ankit Jain, Aviator CEO, discusses using automation to improve developer productivity for remote-first engineering teams. Listen and learn... From Rani Mavram: Why compensation policies have an outsize impact on employee engagement What's required to make compensation plans transparent The difference between compensation plans and "total reward" packages Where innovation is happening in the field of employee compensation From Ankit Jain: How to make remote-first engineering teams successful Using automation to improve developer productivity How startups can replicate the developer experience at Google and Facebook The future of generative AI and GitHub Copilot in assisting human developers References in today's show: Turing's BOUNDARYLESS event Complete.so for compensation transparency Aviator to improve developer productivity0 comments0
- Merve Hickok, one of the "top 100 most brilliant women in AI ethics," shares what you need to know about the blueprint for an AI Bill of RightsMerve Hickok is one of the most recognized thought leaders in the emerging field of AI ethics. Merve is the founder of AIethicist.org and Lighthouse Career Consulting. Her work is at the intersection of AI and data ethics along with social justice and DEI policy and regulation. Merve was recently listed among the top 100 most brilliant women in AI ethics and in the past she lectured at the University of Michigan’s School of Information on Data Science ethics. Merve’s at the forefront of this emerging field that will define how we live and work for the next several decades. This is an important conversation. Enjoy! Listen and learn… What led to Merve founding AIEthicist.org How the AI ethics conversation has evolved over the past year What the White House got right (and wrong) in the blueprint for an AI Bill of Rights What responsible AI means to Merve Why regulation doesn’t necessarily constrain innovation How AI policy and regulation are different around the world References in this episode... Why Meta’s newest LLM survived only three days online Jonathan Frankle on AI and the Future of Work Rene Morkos from ALICE Technologies on AI and the Future of Work Panos Siozos from LearnWorlds on AI and the Future of Work Paddy Padmanabhan from Damo Consulting on AI and the Future of Work0 comments0
- Emmanuel Turlay, Founder and CEO of Sematic and machine learning pioneer, discusses what's required to turn every software engineer into an ML engineerEmmanuel Turlay spent more than a decade in engineering roles at tech-first companies like Instacart and Cruise before realizing machine learning engineers need a better solution. Emmanuel started Sematic earlier this year and was part of the YC summer 2022 batch. He recently raised a $3M seed round from investors including Race Capital and Soma Capital. Thanks to friend of the podcast and former guest Hina Dixit from Samsung NEXT for the intro to Emmanuel. I’ve been involved with the AutoML space for five years and, for full disclosure, I’m on the board of Auger which is in a related space. I’ve seen the space evolve and know how much room there is for innovation. This one's a great education about what’s broken and what’s ahead from a true machine learning pioneer. Listen and learn... How to turn every software engineer into a machine learning engineer How AutoML platforms are automating tasks performed in traditional ML tools How Emmanuel translated learning from Cruise, the self-driving car company, into an open source platform available to all data engineering teams How to move from building an ML model locally to deploying it to the cloud and creating a data pipeline... in hours What you should know about self-driving cars... from one of the experts who developed the brains that power them Why 80% of AI and ML projects fail References in this episode: Unscrupulous users manipulate LLMs to spew hate Hina Dixit from Samsung NEXT on AI and the Future of Work Apache Beam Eliot Shmukler, Anomalo CEO, on AI and the Future of Work0 comments0
- Kevin Mulcahy, co-author of the Future Workplace Experience, discusses how technology is improving the employee experienceKevin Mulcahy, co-author of the Future Workplace Experience, has been thinking and writing about the future of work since 2016. Six years ago the future of work was dramatically different. Reading Kevin’s book makes him seem like a clairvoyant who predicted the future. In addition to being a successful author Kevin is a sought after speaker on all topics related to the future of work and workplace trends. In the past, he also lectured on entrepreneurship at Babson College. Listen and learn: What HR teams need to know about delivering great employee experiences How Airbnb created a culture of measuring and improving the employee experience What are progressive employers doing to make the transition back to office work easier The three "soft leadership" questions every manager should get great at asking How to measure the quality of employee experiences How AI can be used to detect changes in tone in employee engagement Where to start when using AI to improve the employee experience How the metaverse will improve remote work References in this episode: Twitter boss Elon Musk fires the entire ethics team as one of his first acts of "leadership" Charlene Li on AI and the Future of Work Gary Bolles on AI and the Future of Work Mark van Rijmenam on AI and the Future of Work Burn In: A Novel of the Real Robotic Revolution by P.W. Singer and August Cole0 comments0
- Michael Osterrieder, CEO and founder of vAIsual, discusses how generative AI is disrupting the stock media industryToday’s guest is the co-founder and CEO of vAIsual, the company pioneering the use of generative AI to create synthetic stock media. All of those photos you see online and in print publications of people promoting products usually are human models posing in generic ways. Their pictures are sold by companies like Getty Images in marketplaces that are inefficient and limited in scope. Michael Osterrieder and his partner Nico are legends in the world of stock media who realized there’s a better way. They created what they call an algorithmic camera and launched vAIsual last year to scratch their own catch. Michael is a serial entrepreneur and photographer based in Budapest and he’s out to test the limits of generative AI. Listen and learn: How growing up listening to heavy metal inspired Michael's career in visual media What are the challenges of using generative AI to create synthetic stock images of people How visual media content creation has evolved The ethics of generative AI What Michael describes as "the biggest art heist in history" How vAIsual extends human photos using machine vision and human labeling Can an AI be the owner of copyrighted material it produces? What is the definition of consciousness? References in this episode... AI has a burnout problem Eric Olson from Consensus on AI and the Future of Work Jonathan Frankle on AI and the Future of Work Michael's whitepaper about vAIsual0 comments0
- Otto Soderlund, CEO and co-founder of Speechly, discusses what's hard about adding conversational AI to appsOtto Soderlund co-founded Speechly in 2016 with Hannes Heikinheimo in their hometown of Helsinki. He believes voice should be a first-class citizen for all apps and making it easy for developers to add voice support from any platform will unlock new innovation. Speechly is a member of the YC Winter 22 batch. Otto and I recently co-presented at the VOICE22 event in Washington DC although I presented remote so this is the first time we’re actually meeting. I heard good things about his talk so I was eager for this discussion. It didn't disappoint. Listen and learn... Why voice is the new app and what it means to develop "voice-first" apps How RAIN Agency uses Speechly to help auto technicians use voice assistants to fix cars How to accurately detect and transcribe speech when dealing with common challenges like background noise and accents When speech detection achieved "superhuman" levels of accuracy How Speechly combines speech recognition with natural language understanding (NLU) on the local device How Otto thinks about exercising responsible AI Why "voice technology won't exist as a separate field in a decade" References in this episode... Responsible AI has a burnout problem Alex Capecelatro from Josh.ai on AI and the Future of Work Krish Ramineni from Fireflies on AI and the Future of Work The Speechly demo site0 comments0
- AI and the Future of Work Nov 6 · 39m Jonathan Frankle, Harvard Professor and MosaicML Chief Scientist, discusses the past, present, and future of deep learningJonathan Frankle, incoming Harvard Professor and Chief Scientist at MosaicML, is focused on reducing the cost of training neural nets. He received his PhD at MIT and his BSE and MSE from Princeton. Jonathan has also been instrumental in shaping technology policy related to AI. He worked on a landmark facial recognition report while working as a Staff Technologist at the Center on Privacy and Technology at Georgetown Law. Thanks to great guest Hina Dixit from Samsung NEXT for the introduction to Jonathan! Listen and learn... Why we can't understand deep neural nets like we can understand biology or physics. Jonathan's "lottery hypothesis" that neural nets are 50-90% bigger than they need to be...but it's hard to find which parts aren't necessary. How researchers are finding ways to reduce the cost and complexity of training neural nets. Why we shouldn't expect another AI winter because "it's now a fundamental substrate of research". Which AI problems are a good fit for deep learning... and which ones aren't. What's the role for regulation in enforcing responsible use of AI. How Jonathan and his CTO Hanlin Tang at MosaicML create a culture that fosters responsible use of AI. Why Jonathan says "...We're building a ladder to the moon if we think today's neural nets will lead to AGI." References in this episode... The AI Bill of Rights MosaicML Jonathan's personal site0 comments0
- Eric Olson, CEO and co-founder of Consensus, discusses how to use LLMs to help researchers get better answers faster from evidence-based journalsEric Olson, CEO and co-founder of Consensus, is a collegiate athlete turned data scientist turned entrepreneur who needed faster access to reliable data while working at DraftKings. Consensus is a search engine that uses a large language model to find answers in peer-reviewed research articles. Eric's living proof that the best entrepreneurs start by solving a problem they've encountered. Hear how Eric's scratching his own itch. Listen and learn... Why Google isn't the answer for scientists seeking evidence-based answers online Why a business model that relies on ads can't solve the "unbiased answer" problem for researchers How Consensus addresses the problem of conflicting information online from credible resources How to use labels to improve search retrieval accuracy... without introducing bias into results How to use extractive large language models (LLMs), to extract relevant portions of documents and match them to NLP questions Why generative AI like GPT-3 can't answer "what's the consensus opinion out there" when multiple potential answers exist Who is responsible if Consensus delivers answers that lead to harmful outcomes What Eric learned as a division I NCAA athlete (Go Wildcats!) that has helped him as a high-tech entrepreneur References in this episode: Elon Musk launches the Optimus bi-pedal robot at AI day Dan Grunfeld, Stanford athlete and Lightspeed partner, on AI and the Future of Work Consensus0 comments0
- Mona Akmal, outspoken CEO of Falkon, discusses how to use data to help sales reps "make the best deal the typical deal"Mona Akmal, CEO of sales intelligence platform Falkon, is the outspoken co-founder behind an emerging leader in a hot space. Mona migrated to the United States at age 20 with a CS degree and little else. She had an impressive 12-year run as a product leader at Microsoft where she helped scale OneDrive and Office. She subsequently led product and technology organizations at places like Code.org and Amperity. Two decades later, Mona’s the CEO of Falkon AI, an intelligence platform for go to market teams. Falkon recently raised $16M from a group of A-list investors that includes Greylock and Madera among others. Listen and learn... Why Mona's philosophy revolves around two words: "efficiency" and "excellence" What makes a standout sales rep great. How do find signal in noisy sales and marketing data How many touches are required from stage one to closing a B2B deal How to fix the CRM data hygiene problem Why econometrics approaches perform better than machine learning to solve the "small data problem" Why "everyone needs to be coached and nobody needs to be managed" Mona's (legendary) mental health advice to entrepreneurs 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 Peter Fishman from Mozart Data on AI and the Future of Work Stephen Messer from Collective[i] on AI and the Future of Work Kamal Ahluwalia on AI and the Future of Work Leading scientists fear AI could lead to nuclear war by the end of the century0 comments0
- Hina Dixit, venture capitalist at Samsung NEXT and former Apple engineering leader, discusses how to get your AI or web3 startup fundedHina Dixit, venture capitalist leading AI investing at Samsung NEXT, grew up in a small town in India from humble beginnings. She couldn’t afford a Starbucks coffee and graduated with significant student debt… which fueled her passion for mentoring and coaching as she became financially independent. Prior to Samsung NEXT, Hina was an Apple engineering leader who helped launch two-factor authentication and other core iOS technologies. Hina’s a reluctant venture investor having always been a builder. A mentor from Homebrew encouraged her to pursue investing and she’s now passionate about finding and funding the next generation of AI and web3 entrepreneurs. Listen and learn… How Hina overcame institutional biases to achieve success in engineering leadership roles and venture investing How being trusted with money at a young age by her father helped Hina become independent and confident in her career The challenges Hina faced transitioning from a builder at Apple to an investor at Samsung NEXT What Hina looks for when investing in AI and web3 startups Where there are opportunities for innovation in web3 and metaverse infrastructure What will prevent Big Tech from centralizing the decentralized web How Hina thinks about responsible AI when evaluating new investments How and when entrepreneurs should engage corporate venture capital (CVC) firms The AR/VR technology Hina wants to invest in… her inbox is open :) References in this episode: Paul Lee, Synesis One CEO, discusses AI, web3 and crypto for gaming on AI and the Future of Work Krishna Gade, Fiddler CEO, discusses AI explainability on AI and the Future of Work Barr Moses, Monte Carlo CEO, discusses data pipeline monitoring on AI and the Future of Work Bindu Reddy, Abacus AI CEO, discusses training and managing data models on AI and the Future of Work How Jack Clark is incorporating AI ethics into new AGI research0 comments0
- Rana Gujral, CEO of Behavioral Signals, discusses the future of NLP and sentiment analysis to improve customer serviceRana Gujral, CEO of Behavioral Signals since 2018, joined the company after a distinguished tech career growing companies like Logitech, TiZE, and Cricut. Behavioral Signals uses emotion and behavioral science to help contact center agents deliver better service. Rana and the team are on a mission to improve customer interactions by using signals other than the spoken word to understand exactly what they need based on indicators like voice tone and pitch. Listen and learn... How to train AI models on past service interactions and outcomes to determine which agents should speak to which customers How to use deep learning and NLP to process non-speech behavior signals like intonation, pitch, and tonal variance How behavior signals can be used to predict stress, duress, and propensity to buy or pay How to achieve high levels of prediction accuracy without processing "the spoken word" Why tone and pitch are better indicators of sentiment than actual words across any language How to compete with Google/Microsoft/Amazon for data when building an AI-first conversational intelligence product The biggest opportunity Rana sees to use AI to help humans live better lives References in this episode: Mahesh Ram from Solvvy (now Zoom) on AI and the Future of Work Gadi Shamia from Replicant on AI and the Future of Work How personalization algorithms work in your social feeds Behavioral Signals0 comments0
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