102 episodes

Host Dan Turchin, PeopleReign CEO and InsightFinder advisor, explores how AI is changing the workplace. He interviews thought leaders across high-tech 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 InsightFinder, the system of intelligence for IT Operations: http://www.insightfinder.com. Learn more about PeopleReign, the AI platform for employee service: http://www.peoplereign.io

AI and the Future of Work Dan Turchin

    • Technology
    • 5.0 • 10 Ratings

Host Dan Turchin, PeopleReign CEO and InsightFinder advisor, explores how AI is changing the workplace. He interviews thought leaders across high-tech 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 InsightFinder, the system of intelligence for IT Operations: http://www.insightfinder.com. Learn more about PeopleReign, the AI platform for employee service: http://www.peoplereign.io

    Rob May, venture partner at PJC and serial AI entrepreneur, shares what's holding back AI adoption in the enterprise

    Rob May, venture partner at PJC and serial AI entrepreneur, shares what's holding back AI adoption in the enterprise

    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

    • 36 min
    Elliot Shmukler, CEO of Anomalo, discusses why data quality monitoring is the future of personalization

    Elliot Shmukler, CEO of Anomalo, discusses why data quality monitoring is the future of personalization

    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

    • 33 min
    Luke Arrigoni, Data Scientist and CEO of Arricor, shares how to turn enterprise data into decisions with AI

    Luke Arrigoni, Data Scientist and CEO of Arricor, shares how to turn enterprise data into decisions with AI

    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 packagesWhat responsibility AI developers have for the decisions their algorithms makeHow to clean dirty data to make it ready for AI model training When to use neural nets vs. gradient-boosted treesWhich tasks are good candidates for classifier models vs. NLPWhich 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 WorkAirflow for data pipeline automation

    • 34 min
    Peter Fishman, co-founder and CEO of Mozart Data, discusses data pipelines and why they're defining the future of data analytics

    Peter Fishman, co-founder and CEO of Mozart Data, discusses data pipelines and why they're defining the future of data analytics

    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 WorkDerek Steer from Mode on AI and the Future of WorkFivetran for simplifying data integration

    • 37 min
    Shawn Merani, Founder and Managing Director of Parade Ventures, discusses how to start a venture fund and find great entrepreneurs

    Shawn Merani, Founder and Managing Director of Parade Ventures, discusses how to start a venture fund and find great entrepreneurs

    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 callSonar: change intelligence softwareMoichor: animal diagnosticsZi Wang from TimelessParade Ventures

    • 35 min
    Mel Engle, CEO of Predictive Oncology, shares how AI is curing cancer

    Mel Engle, CEO of Predictive Oncology, shares how AI is curing cancer

    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 OncologyDr. Bob Murphy from Carnegie MellonRene Morkos from ALICE Technologies on AI and the Future of Work

    • 31 min

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