48 episodes

AI: In Real Life is a podcast dedicated to democratizing artificial intelligence for today’s fastest growing companies. Whether you’re looking to learn from actual implementers and industry experts using the latest AI software to enhance every potential customer’s experience, or simply hear about making AI more accessible to a broader market, this is the podcast for you.

Each episode features topics like: customer engagement, employee support, chatbots, natural language processing, data intelligence software, knowledge base, intuitive platforms, omni-channel engagement, live chat software, customer experience, customer service, customer interactions, deep learning, and more.

AI: IRL Bold360 by LogMeIn

    • Business

AI: In Real Life is a podcast dedicated to democratizing artificial intelligence for today’s fastest growing companies. Whether you’re looking to learn from actual implementers and industry experts using the latest AI software to enhance every potential customer’s experience, or simply hear about making AI more accessible to a broader market, this is the podcast for you.

Each episode features topics like: customer engagement, employee support, chatbots, natural language processing, data intelligence software, knowledge base, intuitive platforms, omni-channel engagement, live chat software, customer experience, customer service, customer interactions, deep learning, and more.

    47. 3 Takeaways from the the US Government’s 10 AI Principles

    47. 3 Takeaways from the the US Government’s 10 AI Principles

    The White House recently released 10 principles to guide the future of AI in the US. Did they go far enough?
    In this episode, Ryan Lester discussed his 3 takeaways on the AI principles, and what they could mean for the future of AI with the US and around the globe. 
    Ryan Lester is the Sr. Director of Product Marketing at LogMeIn.
    What we talked about:
    The US government involvement gave us a platform to discuss AI At least 2 areas of AI need further exploration (eliminating bias and demystifying AI)  The US government can be a catalyst for the private sector This discussion with Ryan Lester was taken from our AI: In Real Life podcast. If you want to hear more AI episodes like this one, check us out on Apple Podcasts.
    If you don’t use Apple Podcasts, you can also find every episode here.

    • 16 min
    46. A Look Back at AI:IRL in 2019

    46. A Look Back at AI:IRL in 2019

    This week's episode is just me — Ryan Lester — looking back at 2019 and reflecting on what we've seen this year.
    I've done about 50 podcasts, so I had a lot of great conversations with my guests as well as with my clients and with many of you who listen in.
    Here's what I learned:
    Tech titans such as Google, Amazon, and Microsoft invested heavily in tools that make AI more accessible and easier to use All this investment is still the exception, not the norm These non-traditional people who should be coming to your table ...and why you should be cautious about making tech your scapegoat This conversation was taken from our AI: In Real Life. If you want to hear more AI episodes like this one, check us out on Apple Podcasts here.
    If you don’t use Apple Podcasts, you can find every episode here.

    • 14 min
    45. AI & The Future of Verification

    45. AI & The Future of Verification

    Authentication used to be an easy process. 
    It all started with the king. 
    The king would require a wax seal around any form of parchment or communication that was produced, verifying that it was actually coming from the person that it was supposed to be coming from.

    If it wasn’t sealed with the king’s seal, it wasn't legitimate communication. 

    It’s become a little more complicated since then. 
    On the most recent episode of AI:IRL, we sat down with John Baird, Founder at CEO at Vouched for a talk about:
    The challenges we face with authentication. How to eliminate the friction present in identify verification.  What AI can do to make those challenges less of a burden. 

    • 20 min
    44. The Intersection of AI & Manufacturing

    44. The Intersection of AI & Manufacturing

    Manufacturing has long had robots carrying out certain tasks — but those robots require a high amount of inputs on the front end. Then, once those inputs are created, the robots are “stuck” in that position. Throw off the temperature of the manufacturing floor, the orientation of an object, or any other small detail, and that robot has very little ability to respond.
    But now, with advanced robotics, at least one company is trying to create more aware robots that can respond to their environment.
    On this episode, Costas Boulis joined us to share how Bright Machines is reinventing manufacturing with advanced robotics
    Costas is the Chief Scientist at Bright Machines, and was previously an Applied Scientist at Amazon and a Data Scientist for Microsoft, among other advanced science positions. He has a PhD in Electrical Engineering, and received scholar positions at both John Hopkins and Stanford.
    What we talked about:
    Industrial manufacturing IIOT AI, robotics, and the future of industrial manufacturing This discussion with Costas Boulis was taken from our AI: In Real Life podcast. If you want to hear more AI episodes like this one, check us out on Apple Podcasts.
     
    If you don’t use Apple Podcasts, you can also find every episode here.

    • 14 min
    43. How Real-World Models Drive Rapid Insights for Everyday Application

    43. How Real-World Models Drive Rapid Insights for Everyday Application

    Typically, we feed our AI invented datasets that don't represent real life situations and scenarios. These models are preparing AI for an unrealistic environment that doesn’t work IRL.
    But James Dean is changing models at his company, SenSat. They’re using breakthroughs in camera and inexpensive drone technology to capture real geographies. They layer these geographies with everyday obstacles — like people, temperature, lighting — to develop models that replicate real life geographies, creating what James calls “digital twins.”
    James came on this episode of AI:IRL to tell us all about how he’s creating “a SimCity of the real world.”
    What we talked about:
    AI models 3D Geographies 3D Geometries  Digital twins LIDAR Large datasets How AI is impacting the construction industry AI in the infrastructure industry This discussion with James Dean was taken from our AI: In Real Life podcast. If you want to hear more AI episodes like this one, check us out on Apple Podcasts here.
     

    • 23 min
    42. How AI Visuals are Revolutionizing Shopping

    42. How AI Visuals are Revolutionizing Shopping

    A picture’s worth a thousand words.
    So, why wouldn’t retailers want shoppers using an image search instead of a keyword search?
    The thing is… they do. And one company called ViSenze is making it possible.
    On the latest episode of AI: IRL, I speak with Oliver Tan, co-founder and CEO of ViSenze.
    We discuss:
    How an image search engine can work for apparel shopping Data on how shoppers have responded to AI visuals Digital experiences that transcend online shopping  
    Resources:
    Visual Search - Why Retailers Should Care
     
    To listen to our other episodes, check us out on Apple Podcasts. Or if you don’t use Apple Podcasts, you can also find every episode here.

    • 25 min

Customer Reviews

James Carbary ,

Excited

So excited to see this show come to life! For anyone looking to keep up with the implications of AI in today’s business environment, they’re going to want to hear this content.

Steve Franks ,

This is not very accurate.

I’ve worked in the AI industry for 25 years and the few episodes I heard were completely misleading

ALG_PMM ,

Artificial Intelligence for Customer Service

Cutsomer service and support is one of the top "real life" use cases for AI, so it's great to see a podcast dedicated to this topic. I love all the insights from people who approach AI chatbots from different angles. Hearing stories from others' actual implementations helps us figure out how our business is going to get started with AI. Keep 'em coming!

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