26.1 AI Podcast

26.1 AI Podcast

By Brian Ray; Don SheuScienceTechnology
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26.1 AI Podcast episodes

  • Metis Data Science Bootcamp President & Founder, Jason Moss
    "If you follow your passion and marry it with Data Science, it can really take you to great places," says Jason Moss. In 2013, Jason launched Metis a data science bootcamp (now a part of Kaplan). Starting in Boston as Ruby on Rails Bootcamp, Metis pivoted quickly into a Data Science Bootcamp six months later. Jason offers his opinions on the quickly changing job market tagged broadly as "Data Science." He speaks about the personal journeys of his motivated students who wish to take it to the next level. Our guest shares how curiosity drives students to do what they love and succeed n their careers.
    27 min
  • Alex Poon AI automation from email to cures
    This episode introduces our audience to perhaps one of the rarest AI practitioners, an AI serial entrepreneur. Alex Poon with his first AI startup x.ai, helped users recapture lost time spent scheduling meetings. X.ai also rehabilitated the term AI after a long winter for the discipline. Today’s visit with Alex, we revisit early days when he built x.ai and had to custom craft many tools available as readily accessible open source projects today. Our guest provides a comparison on building an AI startup a short five years ago and what's it take today. We discuss the high stakes involved when applying AI to human lives at AiCure. This week’s guest votes for AI as a positive force for advancing human knowledge and lives.
    27 min
  • Peter Wang (part 2/2): CEO/founder Anaconda, Creator of PyData
    Second part of our 2 part series with Anaconda founder and CEO, Peter Wang, we get to the core reason why this podcast exists. We want everybody more literate about the tech wave that promises to fundamentally change how we live. In this session, Peter reminds us how in the atomic age, people wanted nuclear underwear. With nuclear power, though, the possible devastation is palpable for a casual observer. Do average users of AI understand that irresponsibly deployed AI can harm people, societies, and the world around us? One tableau Peter draws to illustrate how folks may underestimate the destructive power of AI, is a table and a smart speaker in the room. Most consumers using smart speakers and associated assistant personas don't know that there's massive computing power behind the interaction. We come back to humans and the importance of practitioners to become Dirk Gently holistic detectives of AI. We come to a conclusion familiar to listeners. Experts deploying AI, need to take the wider view of our work and impact on humanity.
    25 min
  • Peter Wang (part 1/2): CEO/founder Anaconda, Creator of PyData
    In the Python world and in the scientific Python world especially, Peter needs no introduction. Anaconda's CEO shared with us, "Anaconda has more users than World of Warcraft, Matlab, SAS, Tableau, and Dropbox Combined." We had so much fun, our conversation ran long, long enough for 26.1 AI Podcast's first serial two part interview with a guest. During our conversation, Peter gets philosophical. As a technologist and a practitioner he discusses the hype v. reality. Our guest posits there is an, "honest path," how Peter believes technology can be leveraged for human good.
    A big takeaway from this episode is that there's no configuration toggle for ethical AI. Ethics starts with the human in the loop creating the AI.
    27 min
  • Jennifer Shin's life journey traversing business, data science and math
    For those listening and seeking information about how to launch a career in data and AI, we go deeper than any prior episode into an investigation of how folks become professionals in the space. We interview in this episode Jennifer Shin, an AI practitioner fluent in business. We touch on what launched Jennifer on her path to data and evidence. A search for answers added skills and experience in coding and analytics in our guest's toolbox. in addition to practicing AI, she's forging future leaders in the field through her teaching at NYU.
    27 min
  • Kripa Rajshekhar: 3rd Wave AI, Human in the loop, and a precautionary tale
    Kripa Rajshekhar joins us this week with a discussion on human centric AI. Kripa is committed to updating his knowledge on the latest in AI. He is the founder of Metonymize, a team committed to Third Wave Artificial Intelligence. They have a big win applying this AI to law. In the Summer of 2017, a Metonymize algorithm passed a "Turing Test" equivalent for patent law. The Metonymize team has a combined 100+ years of experience on the cutting edge of Artificial Intelligence. They build solutions with economics that are 10-100X better than "Big Data" reliant Machine Learning.
    27 min
  • Michael Agustin: Futurist and Founder of a Camera as AI Retail Channel Startup

    We welcome Michael Agustin for this week’s episode. He previously founded Game Salad, a startup that allowed anyone to develop video games using a visual programming interface. For Game Salad, Michael raised $25m in capital, and investors included impressive organizations like Disney. 


    Currently, Michael is advancing optical AI, with current startup Curie. Recently he finished with the latest batch of 500 Startups, Curie offers retailers, mobile users’ cameras as a new channel. 


    Might sound strange, but today I believe you’ll listen to our first guest who’s truly predictive. Though practitioners of AI inherently are trying to predict rather than react, because of cognitive biases and concepts highlighted by Tversky and Kahneman in their article, “Judgment Under Uncertainty: Biases and Heuristics,” people are biologically geared for reaction not prediction. 


    Today, Michael provides us our first truly futurist episode. He shares with us optimism that Apple will catch up in AI, takes us through the benefits of AI on chip, and shares with us that better algorithms will catch up to those who hold a huge data advantage. 

    27 min
  • AI Product Leader Jim Ni Shares Use Cases in Fintech

    This week we host Jim Ni for a discussion that business leaders will love. A goal for Brian and Don is to reach non-practitioners and help them drive forward AI adoption in their orgs. Thanks to Jim's concise explanation of what he's discovering with financial services firms needs, our business audience will get a lot of out of our latest episode. 

    27 min
  • Don and Brian recap first 9 Episodes
    Don and Brian do a quick 26.1 recap of the previous 9 episodes and discuss some trends they are seeing driving this popular podcast. Good episode to start with if you haven't listened yet. Use this recap as an index to find episodes you want to listen to first.
    27 min
  • Data Science When $1000 Mobile Phones Delivered 26 Minutes Battery Life

    For episode 9 of 26.1 AI Podcast, our guest Andrea Brice takes us back to early days of mobile telcom. She hacked together data science and algorithms reviewed by the C-suite at McCaw Cellular that became Cingular then AT&T Wireless. Making it all work on top of Oracle relational databases, Andrea shares how excited she was to find open source tools when she left telcom. Also our guest reminds of the engineering rigor present in telcom teams that we sorely need as AI and data science mature as practices. Though Andrea makes a strong case that data science was going on a long time before DJ Patil coined the term coined the term for the benefit of his HR colleagues and simplify the many job positions various flavors of analysts. 

    Yet another guest of 26.1 with great insight and deserving of a series of episodes. 

    27 min

About 26.1 AI Podcast

From the publisher's feed

Don Sheu and Brian Ray are friends with one mission: a podcast that covers interesting topics in AI. Don is a dotcom era flameout who was reborn in tech building Seattle's largest tech community;…