51 episodes

AI is getting real, moving out of academia and hyperscale and into the enterprise. Businesses are adopting AI in strategically, and IT companies are deploying AI technologies in their products. This podcast focuses on practical applications of artificial intelligence and machine learning in the modern enterprise datacenter and cloud infrastructure. Hosted by Stephen Foskett of GestaltIT.com, Chris Grundemann of chrisgrundemann.com, and Frederic Van Haren, of HighFens Inc.

Utilizing AI - The Enterprise AI Podcast Utilizing AI

    • Technology
    • 5.0 • 1 Rating

AI is getting real, moving out of academia and hyperscale and into the enterprise. Businesses are adopting AI in strategically, and IT companies are deploying AI technologies in their products. This podcast focuses on practical applications of artificial intelligence and machine learning in the modern enterprise datacenter and cloud infrastructure. Hosted by Stephen Foskett of GestaltIT.com, Chris Grundemann of chrisgrundemann.com, and Frederic Van Haren, of HighFens Inc.

    3x02: Using AI to Assess Risk with Mike O'Malley of SenecaGlobal

    3x02: Using AI to Assess Risk with Mike O'Malley of SenecaGlobal

    Machine learning excels at finding needles in haystacks, even unexpected ones, and this helps organizations to assess risks. In this first episode of season 3, Utilizing AI hosts Stephen Foskett and Chris Grundemann discuss risk analysis with Mike O'Malley of SenecaGlobal. ML is extremely good at detecting outliers and adapting to changing patterns, and this can yield excellent results in applications like financial pattern recognition. But AI lacks real understanding, and this can limit the use cases for ML.

    Three Questions


    Are there any jobs that will be completely eliminated by AI in the next five years?
    What’s the strangest or most amusing application for ML that you have encountered?
    Can you think of any fields that have not yet been touched by AI?

    Guests and Hosts


    Mike O'Malley, SVP at SenecaGlobal. Connect with Mike on LinkedIn. 
    Chris Grundemann, Gigaom Analyst and Managing Director at Grundemann Technology Solutions. Connect with Chris on ChrisGrundemann.com on Twitter at @ChrisGrundemann.
    Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett.      

    Date: 9/14/2021 Tags: @senecaglobal, @SFoskett, @ChrisGrundemann

    • 29 min
    3x01: A Look Back at Season 2

    3x01: A Look Back at Season 2

    Welcome back to another season of Utilizing AI! In this first episode of season 3, we are taking a look at some of the most memorable moments of season 2. We started season 2 by talking about AI as a co-pilot in the first few episodes and this theme continued throughout the season. AI making our jobs easier was a common discussion we had through the course of the season. Another common discussion had throughout the season was how to make implementing AI easier through tools and platforms. We also discussed the duality of working in AI vs. working on AI. Having AI be more accessible and easier to use was yet another common theme we saw throughout season 2. Some of the most memorable guests that have stuck with our host and co-hosts include Saiph Savage, Sofia Trejo, Ayodele Odubela, and Anti Raman. Speaking of guests, Frederic Van Haren, who is one of our show’s co-hosts, was an early season 2 guest. Our most listened to episode was the discussion we had with BrainChip.

    Three Questions

    This season, we are continuing with our three questions tradition but we’re throwing in a twist! We are offering the opportunity for our guests and our listeners to pose questions that we may use in a future episode. Each guest will be asked to record a question that may be used to ask a future guest. We also want to offer our listeners the opportunity to become a part of the podcast. If you would like your question asked, send us an email at Host@Utilizing-AI.com and let us know you would like to participate!

    Hosts


    Chris Grundemann, Gigaom Analyst and Managing Director at Grundemann Technology Solutions. Connect with Chris on ChrisGrundemann.com on Twitter at @ChrisGrundemann.
    Frederic Van Haren, Founder at HighFens Inc., Consultancy & Services. Connect with Frederic on Highfens.com or on Twitter at @FredericVHaren.
    Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett. 

    Date: 9/7/2021 Tags:  @SFoskett, @ChrisGrundemann, @FredericVHaren           

    • 42 min
    2x31: Taking Artificial Intelligence on the Road with Christophe Couvreur of Cerence

    2x31: Taking Artificial Intelligence on the Road with Christophe Couvreur of Cerence

    Most people think AI in vehicles means autonomous driving, but there are a lot of other applications for the technology. Ever since Mercedes-Benz introduced Linguatronic voice response in the 1990s, vehicles have included verbal control and feedback mechanisms. In this episode, Christophe Couvreur discusses the lessons of bringing AI to vehicles based on his experience at Nuance spin-off, Cerence. As these systems have improved, they have reached the so-called uncanny valley, where people become frustrated by their limitations despite tremendous advancement over the last decade or so. Looking beyond voice response, we can see many driver assistance technologies added to vehicles in the future, and many of these will be ML powered as well.

    Three Questions:


    When will we see a full self-driving car that can drive anywhere, any time?
    How long will it take for a conversational AI to pass the Turing test and fool an average person?
    How small can ML get? Will we have ML-powered household appliances? Toys? Disposable devices?

    Guests and Hosts


    Christophe Couvreur, VP of Product at Cerence Inc. Connect with Christophe on LinkedIn here and the company page Cerence.com.

    Frederic Van Haren, Founder at HighFens Inc., Consultancy & Services. Connect with Frederic on Highfens.com or on Twitter at @FredericVHaren.
    Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett.          


    Date: 8/3/2021 Tags: @CerenceInc, @SFoskett, @FredericVHaren

    • 40 min
    2x30: Bringing AI to the Executive Suite with Josh Epstein of AtScale

    2x30: Bringing AI to the Executive Suite with Josh Epstein of AtScale

    Businesses have long tried to use data to drive decisions, but over the last few years new big data and AI capabilities have appeared. In this episode, Josh Epstein of AtScale discusses the opportunities that enterprise AI brings to drive business decisions. Although executives might not know the details of AI models, they can certainly benefit from the forecasts and recommendations these tools deliver. One benefit of these systems is that they can bring in more diverse data to uncover real value from areas typically outside the sight of executives.

    Three Questions


    Are there any jobs that will be completely eliminated by AI in the next five years?
    Will we ever see a Hollywood-style “artificial mind” like Mr. Data or other characters?
    Can you think of an application for ML that has not yet been rolled out but will make a major impact in the future?


    Guests and Hosts


    Josh Epstein, Chief Marketing Officer at AtScale. Connect with Josh on LinkedIn.

    Frederic Van Haren, Founder at HighFens Inc., Consultancy & Services. Connect with Frederic on Highfens.com or on Twitter at @FredericVHaren.

    Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett.        


    Date: 7/27/2021 Tags: @AtScale, @SFoskett, @FredericVHaren

    • 37 min
    2x29: How AI Can Help Displaced Workers with Saiph Savage

    2x29: How AI Can Help Displaced Workers with Saiph Savage

    Although we usually focus on the ways AI can displace workers, this technology can also create new jobs and help them. In this episode, Saiph Savage joins Chris Grundemann and Stephen Foskett to discuss the many ways AI can help displaced workers. One new type of job created by AI is in the area of model training, and this can help develop digital skills and improve the lives of workers. Digital labor platforms tend to be opaque, however, and we must audit them to understand the wages paid, exposure to negative content, and invisible labor workers do to continue to use these tools. Yet despite these shortcomings, many workers report positive experiences, in terms of life/work balance, opportunity, and flexibility. Researchers like Savage are monitoring these opportunities and developing tools to help workers and policymakers fairly judge the costs and benefits of participating. Ultimately, these jobs can become a stepping stone to digital careers and further opportunities.

    References


    Saiph Savage’s Super Turker paper 
    Flexible Work and Personal Digital Infrastructures 
    Turker Tales: Integrating Tangential Play into Crowd Work 
    “Ghost Work: How to Stop Silicon Valley from Building a New Global Underclass” by Mary L. Gray and Siddharth Suri (book)


    Three Questions


    How long will it take for a conversational AI to pass the Turing test and fool an average person?
    Are there any jobs that will be completely eliminated by AI in the next five years?
    Can you think of any fields that have not yet been touched by AI?


    Guests and Hosts


    Saiph Savage, Assistant Professor at Northeastern University. Connect with Saiph on LinkedIn or on Twitter at @Saiphcita.
    Chris Grundemann, Gigaom Analyst and Managing Director at Grundemann Technology Solutions. Connect with Chris on ChrisGrundemann.com on Twitter at @ChrisGrundemann.
    Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett.      


    Date: 7/20/2021 Tags: @Saiphcita, @SFoskett, @ChrisGrundemann

    • 39 min
    2x28: Offloading ML Processing to Storage Devices with NGD Systems

    2x28: Offloading ML Processing to Storage Devices with NGD Systems

    Today’s storage devices (disks and SSDs) have processors and memory already, and this is the concept of computational storage. If drives can process data locally, they can relieve the burden of communication and processing and help reduce the amount of data that gets to the CPU or GPU. In this episode, Vladimir Alves and Scott Shadley join Chris Grundemann and Stephen Foskett to discuss the AI implications of computational storage. Modern SSDs already process data, including encryption and compression, and they are increasingly taking on applications like machine learning. Just as industrial IoT and edge computing is taking on ML processing, so too are storage devices. Current applications for ML on computational storage include local processing of images and video for recognition and language processing, but these devices might even be able to execute ML training locally as in the case of federated learning.

    Three Questions


    Are there any jobs that will be completely eliminated by AI in the next five years?
    Can you think of any fields that have not yet been touched by AI?
    How small can ML get? Will we have ML-powered household appliances? Toys? Disposable devices?


    Guests and Hosts


    Vladimir Alves, CTO and Co-Founder at NGD Systems. Connect with Vladimir on LinkedIn.
    Scott Shadley, VP of Marketing at NGD System. Connect with Scott on LinkedIn or on Twitter @SMShadley.
    Chris Grundemann, Gigaom Analyst and Managing Director at Grundemann Technology Solutions. Connect with Chris on ChrisGrundemann.com on Twitter at @ChrisGrundemann.
    Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett.    


    Date: 7/13/2021 Tags: @SFoskett, @ChrisGrundemann, @SMShadley, @NGDSystems

    • 37 min

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