TopPodcast.com
Menu
  • Home
  • Top Charts
  • Top Networks
  • Top Apps
  • Top Independents
  • Top Podfluencers
  • Top Picks
    • Top Business Podcasts
    • Top True Crime Podcasts
    • Top Finance Podcasts
    • Top Comedy Podcasts
    • Top Music Podcasts
    • Top Womens Podcasts
    • Top Kids Podcasts
    • Top Sports Podcasts
    • Top News Podcasts
    • Top Tech Podcasts
    • Top Crypto Podcasts
    • Top Entrepreneurial Podcasts
    • Top Fantasy Sports Podcasts
    • Top Political Podcasts
    • Top Science Podcasts
    • Top Self Help Podcasts
    • Top Sports Betting Podcasts
    • Top Stocks Podcasts
  • Podcast News
  • About Us
  • Podcast Advertising
  • Contact
Not in our directory?
Add Show Here
Podcast Equipment
Center

toppodcastlogoOur TOPPODCAST Picks

  • Comedy
  • Crypto
  • Sports
  • News
  • Politics
  • True Crime
  • Business
  • Finance

Follow Us

toppodcastlogoStay Connected

    View Top 200 Chart
    Back to Rankings Page
    News

    The Enterprise AI Show

    The Enterprise AI Show explores the AI journey for Enterprise companies around the world.  [formerly The Cloudcast] 

    As the AI revolution moves from experimentation to execution, The Enterprise AI Show provides the clarity needed to lead. Join Aaron Delp and Brian Gracely as they explore the intersection of generative AI, enterprise systems, and global business strategy. Each episode features clear-headed conversations with the people making actual decisions—founders, investors, and practitioners—focusing on the technical architectures and business models that drive real-world ROI.

    New shows every Wednesday and Sunday. 

    Topics: Enterprise AI strategy · The AI Economy ·  LLMs in production · AI leadership · Agentic AI ·  Digital Sovereignty · Machine Learning · AI startups ·  Cloud Computing 

    Advertise

    Copyright: © 2024 Massive Studios

    • Apple Podcasts
    • Google Play
    • Spotify

    Latest Episodes:
    Will a New Cloud Emerge? Sep 27, 2023
    Show notes

    Aaron Delp and Brian Gracely discuss the possibility of another major cloud provider emerging as the economy changes and new application workloads begin to take shape.

    SHOW: 757

    CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw

    NEW TO CLOUD? CHECK OUT - "CLOUDCAST BASICS"

    SHOW SPONSORS:

    • Find "Breaking Analysis Podcast with Dave Vellante" on Apple, Google and Spotify
    • Keep up to data with Enterprise Tech with theCUBE
    • Reduce the complexities of protecting your workloads and applications in a multi-cloud environment. Panoptica provides comprehensive cloud workload protection integrated with API security to protect the entire application lifecycle. Learn more about Panoptica at panoptica.app

    SHOW NOTES:

    • Microsoft hiring to build small reactors near data centers
    • The economic case for Generative AI (a16z)
    • AWS invests (up to) $4B in Anthropic
    • NVIDIA DGX Cloud
    • NVIDIA’s new computing model (Acquired podcast)

    Topic 1 - Do you remember back when AWS was starting to take off, and Simon Wardley used to talk about how IBM or HP or Cisco or EMC/VMware should have been the ones building the utility cloud services?

    Topic 2 - We’re now at a stage when all anyone can talk about is AI (Generative AI, LLMs, etc.) and GPUs. So which one is more powerful, the Models/Data or the Infrastructure?

    Topic 3 - Is it possible that NVIDIA could start building their own cloud? Do they potentially want to own a more vertical experience?

    Topic 4 - Obviously the buildout costs are enormous, but are they that much different from what the Big 3 are trying to do in retrofitting existing data centers, or hiring to build their own mini-Nuclear reactors?

    Topic 5 - Who could potentially be a partner to NVIDIA in building out this type of cloud in the near-term? (Equinix, national governments, cities-of-the-future, sovereign wealth funds, etc.)

    FEEDBACK?

    • Email: show at the cloudcast dot net
    • Twitter: @thecloudcastnet

    FEEDBACK?

    • Email: show @ the enterprise ai show dot com
    • Bluesky: @TheEntAIShow.bsky.social
    • Twitter/X: @TheEntAIShow
    • Instagram: @TheEntAIShow

    Every company is a Hardware company Sep 24, 2023
    Show notes

    What happens when every software company needs to be a hardware company first? And how are leading VC firms potentially predicting that the 2000s will be repeating themselves?

    SHOW: 756

    CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw

    CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"

    SHOW SPONSORS:

    • CloudZero – Cloud Cost Visibility and Savings
    • ​​CloudZero provides immediate and ongoing savings with 100% visibility into your total cloud spend
    • Datadog Application Monitoring: Modern Application Performance Monitoring
    • Get started monitoring service dependencies to eliminate latency and errors and enhance your users app experience with a free 14 day Datadog trial. Listeners of The Cloudcast will also receive a free Datadog T-shirt.
    • AWS Insiders is an edgy, entertaining podcast about the services and future of cloud computing at AWS. Listen to AWS Insiders in your favorite podcast player.
    • Cloudfix Homepage


    SHOW NOTES:

    • AI’s $200B Question (Sequoia)
    • 5 years and $15B later, a fiber venture fails (Global Crossing)
    • Dot com bubble
    • The history of Switch Data Centers
    • Interest rates over the last 30 years
    • The Cost of Cloud, A Trillion Dollar Paradox (a16z)
    • VCs vs the Cloud (Eps.656)


    BACK IN THE DOT COM DAYS, WE ASSUMED THAT EVERYTHING WOULD BE INTERNET

    • Let's remember how we transitioned from the late 1990s to the early 2000s
    • VCs used to have a $50M "hardware tax" on investments
    • Cloud and Low Interest Rates changed everything
    • New Technology with Simple UI + Infrastructure Buildouts + Unknown Business Models

    NOW WE ASSUME THAT EVERYTHING WILL BE AI (and GPUs)

    • Interest rates have come back up to 2001 levels
    • VCs are back to paying the "hardware tax", and aren't happy
    • New Technology with Simple UI + Infrastructure Buildouts + Unknown Business Models
    • Let's see if history repeats itself.


    FEEDBACK?

    • Email: show at the cloudcast dot net
    • Twitter: @thecloudcastnet

    FEEDBACK?

    • Email: show @ the enterprise ai show dot com
    • Bluesky: @TheEntAIShow.bsky.social
    • Twitter/X: @TheEntAIShow
    • Instagram: @TheEntAIShow

    Training and Labeling Foundational AI Models Sep 20, 2023
    Show notes

    Alex Ratner (@ajratner, CEO @SnorkelAI) talks about labeling and training of LLMs. We go over Foundational Models and how to take an “off the shelf” model and fine-tune it for private use.

    SHOW: 755

    CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw

    NEW TO CLOUD? CHECK OUT - "CLOUDCAST BASICS"


    SHOW SPONSORS:

    • Reduce the complexities of protecting your workloads and applications in a multi-cloud environment. Panoptica provides comprehensive cloud workload protection integrated with API security to protect the entire application lifecycle. Learn more about Panoptica at panoptica.app
    • Find "Breaking Analysis Podcast with Dave Vellante" on Apple, Google and Spotify
    • Keep up to data with Enterprise Tech with theCUBE


    SHOW NOTES:

    • SnorkelAI (homepage)
    • SnorkelAI on The Cloudcast #523

    Topic 1 - Welcome back to the show. We last spoke two years ago. A lot has changed so we thought it would be a great time to talk about updates. For those that aren’t familiar, give everyone a quick background.

    Topic 2 - Let’s start with when we last spoke. We talked a lot about data scientists and how data labeling works for training LLM’s. For those that aren’t familiar, can you give everyone a quick intro to data labeling and why it is important for training?

    Topic 3 - When we last spoke, LLM weren't as mainstream as they are today. How has this impacted how you think about AI/ML in general? What are the big challenges for LLM today that you see?

    Topic 4 - Many organizations are trying “off the shelf” models but this may or may not be a good idea. On one side they don’t have to build a model but on the other they still have to fine tune it to their specific needs and use case. What are your recommendations for organizations to get started and be as effective as possible?

    Topic 5 - In addition to organization specific models, are teams building purpose built models for specific functions (i.e. are they running multiple models each with a different task?) How does labeling and training come into play here?

    Topic 6 - Another challenge I’m seeing is security and data privacy concerns. What do folks getting started need to be aware of to make sure company data is safe?


    FEEDBACK?

    • Email: show at the cloudcast dot net
    • Twitter: @thecloudcastnet

    FEEDBACK?

    • Email: show @ the enterprise ai show dot com
    • Bluesky: @TheEntAIShow.bsky.social
    • Twitter/X: @TheEntAIShow
    • Instagram: @TheEntAIShow

    A Proposal for OSS Longevity Sep 17, 2023
    Show notes

    As OSS projects continue to look for ways to balance community, sustainability and profitability, let’s explore some alternative considerations for companies and communities.

    SHOW: 754

    CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw

    CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"

    SHOW SPONSORS:

    • Datadog Synthetic Monitoring: Frontend and Backend Modern Monitoring
    • Ensure frontend issues don’t impair user experience by detecting user-facing issues with API and browser tests with a free 14 day Datadog trial. Listeners of The Cloudcast will also receive a free Datadog T-shirt.
    • AWS Insiders is an edgy, entertaining podcast about the services and future of cloud computing at AWS. Listen to AWS Insiders in your favorite podcast player.
    • Cloudfix Homepage
    • CloudZero – Cloud Cost Visibility and Savings
    • ​​CloudZero provides immediate and ongoing savings with 100% visibility into your total cloud spend

    SHOW NOTES:

    • Troubles with Open Source Gig Economy (Chris Aniszczyk, CNCF)
    • Open Source Needs Maintainers, How Do They Get Paid? (TNS)
    • A New Way to Think about Open Source Sustainability (InfoWorld)


    OPEN SOURCE HAS BECOME CRITICAL INFRASTRUCTURE FOR BUSINESSES

    • Docker, Kubernetes, Terraform, Ansible, Kafka, MongoDB, ElasticSearch, Java are all mission-critical to businesses.
    • Cloud providers have disrupted the previous OSS models - operationalize vs. contributions
    • How to pay contributors?
    • How to avoid unpredictable changes to licensing?
    • How to provide better transparency to customers and communities?

    DO OSS PROJECT NEED MORE STRUCTURE TO SUCCEED OR SUSTAIN?

    • Establish “types” of projects: Business, Community, Any - Years to Action
    • Establish some timelines around various types of projects
    • Patents have a timeline to explore - can there be OSS licenses that have timelines
    • Government tax credits for paying OSS contributors
    • Should governance foundations create forks at established times?
    • Should groups like CNCF be more active in recruiting forks after a period of time?

    FEEDBACK?

    • Email: show at the cloudcast dot net
    • Twitter: @thecloudcastnet

    FEEDBACK?

    • Email: show @ the enterprise ai show dot com
    • Bluesky: @TheEntAIShow.bsky.social
    • Twitter/X: @TheEntAIShow
    • Instagram: @TheEntAIShow

    Automating Developer Security and Compliance Sep 13, 2023
    Show notes

    Matt Spitz (@mattspitz, Head of Engineering at @TrustVanta) talks about the challenges of developer security and compliance.

    SHOW: 753

    CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw

    NEW TO CLOUD? CHECK OUT - "CLOUDCAST BASICS"

    SHOW SPONSORS:

    • Find "Breaking Analysis Podcast with Dave Vellante" on Apple, Google and Spotify
    • Keep up to data with Enterprise Tech with theCUBE
    • Reduce the complexities of protecting your workloads and applications in a multi-cloud environment. Panoptica provides comprehensive cloud workload protection integrated with API security to protect the entire application lifecycle. Learn more about Panoptica at panoptica.app

    SHOW NOTES:

    • Vanta (homepage)

    Topic 1 - Welcome to the show. Tell us a little bit about your background. What made you join Vanta and did your experience at Dropbox factor into this decision?

    Topic 2 - Our topic today is developer security and compliance. Let’s start by helping our listeners understand the problem. We hear all the time about developers wanting to go fast. Things like security and compliance can be an afterthought. Do you agree and is this the root of the problem or is it something else?

    Topic 3 - Most organizations, especially smaller orgs or startups just getting going, they just want to get to MVP, what advice to you have for them in building security and compliance into their CI/CD pipelines so this becomes more programmatic?

    Topic 4 - Security is certainly one angle, but probably just as important, if not more so is compliance. To make it slightly more difficult, compliance can mean many different things based on geography (SOC in US for instance). How do organizations staff for this and keep up with regulation changes? Or, maybe on the flip side, is this a common area where they are understaffed and need outside assistance?

    Topic 5 - In security and compliance worlds there is often the concept of identification and discovery as one part, but remediation as the second part. Where and how does Vanta work with organizations to solve for both vectors?

    Topic 6 - Automation, especially into CI/CD pipelines seems like a no-brainer here, but I would also add is this an area where AI/ML will come into play in the future?

    Topic 7 - If folks want to dig in and learn more, how do you suggest they get started?

    FEEDBACK?

    • Email: show at the cloudcast dot net
    • Twitter: @thecloudcastnet

    FEEDBACK?

    • Email: show @ the enterprise ai show dot com
    • Bluesky: @TheEntAIShow.bsky.social
    • Twitter/X: @TheEntAIShow
    • Instagram: @TheEntAIShow

    Digital Transformation meets its Liability moment Sep 10, 2023
    Show notes

    As digital transformations are happening to major industries, we’ve moved into an era where legal issues could become more prevalent than the technologies.

    SHOW: 752

    CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw

    CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"

    SHOW SPONSORS:

    • AWS Insiders is an edgy, entertaining podcast about the services and future of cloud computing at AWS. Listen to AWS Insiders in your favorite podcast player.
    • Cloudfix Homepage
    • CloudZero – Cloud Cost Visibility and Savings
    • ​​CloudZero provides immediate and ongoing savings with 100% visibility into your total cloud spend
    • Datadog Kubernetes Solution: Maximum Visibility into Container Environments
    • Start monitoring the health and performance of your container environment with a free 14 day Datadog trial. Listeners of The Cloudcast will also receive a free Datadog T-shirt.

    SHOW NOTES:

    • Fair Use doctrine
    • The legal issues presented by generative AI (MIT)
    • Generative AI in Healthcare and Liability Risks
    • Generative AI and Intellectual Property (Benedict Evans)
    • Microsoft claims it'll pay if you get sued for IP infringements for using CoPilot
    • Show educators would block AI usage for legal reasons (Matt Brown)


    BREAK THE LAW NOW, AND ASK FOR FORGIVENESS LATER?

    • From ride-sharing to crypto to generative AI, the gray areas of the law or property ownership are at the center of the major digital transformations
    • The open source community is debating what is proper licensing, and should licensing ever change?
    • Are we at the beginning of LegalOps or LiabilityOps?

    IS THE LIABILITY IN BUSINESS MODEL, IP, PRIVACY, FRAUD OR CORRUPTION

    • What are companies liable for? Fair-use of data? AI Models? AI recommendations? AI actions?
    • What laws do cloud providers need to be concerned about?
    • What do customers need to be concerned about?
    • What do systems-integrators need to be concerned about?


    FEEDBACK?

    • Email: show at the cloudcast dot net
    • Twitter: @thecloudcastnet

    FEEDBACK?

    • Email: show @ the enterprise ai show dot com
    • Bluesky: @TheEntAIShow.bsky.social
    • Twitter/X: @TheEntAIShow
    • Instagram: @TheEntAIShow

    Updates to Infrastructure as Code Sep 06, 2023
    Show notes

    Joe Duffy (@funcOfJoe, Co-Founder/CEO @PulumiCorp) talks about the evolution of infrastructure as code, the challenges of multi-cloud, and applying Generative AI to Ops.
    SHOW: 751

    CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw

    NEW TO CLOUD? CHECK OUT - "CLOUDCAST BASICS"

    SHOW SPONSORS:

    • Reduce the complexities of protecting your workloads and applications in a multi-cloud environment. Panoptica provides comprehensive cloud workload protection integrated with API security to protect the entire application lifecycle. Learn more about Panoptica at panoptica.app
    • Find "Breaking Analysis Podcast with Dave Vellante" on Apple, Google and Spotify
    • Keep up to data with Enterprise Tech with theCUBE

    SHOW NOTES:

    • Pulumi (homepage)
    • Pulumi Insights (LLM - Generative AI)
    • New Features (NewStack article)
    • The Cloudcast #388, The Cloudcast #657
    • Sept 14th Webinar
    • Sept 19th Webinar

    Topic 1 - Welcome to the show. Tell us a little bit about your background. What made you found Pulumi and you have an extensive developer background at Microsoft as well.

    Topic 2 - Pulumi’s been in the market for 6+ years and we first spoke 4 years ago. Has the IaC space “settled down”? Do you consider it still emerging, evolving, or mature at this point?

    Topic 3 - We’re seeing a lot of organizations manage resources and infrastructure across multiple clouds. What are the big challenges of multiple vs. single clouds?

    Topic 4 - Another big trend is of course Generative AI. You recently announced Pulumi Insights. Can you tell everyone about how this came to be and the problem you are trying to solve?

    Topic 5 - Let’s talk about culture quickly. How do organizations, especially large organizations with many groups and tools, standardize tools and processes? What are the big hurdles that need to be overcome?

    Topic 6 - OSS has been in the news lately, especially around the Terraform project. What are your thoughts on OSS and its place in IaC both today and going forward?

    Topic 7 - We see you have a big webinar coming up. It looks to be a great place to dig in and get started. Tell everyone about it for those out there that want to know more.

    FEEDBACK?

    • Email: show at the cloudcast dot net
    • Twitter: @thecloudcastnet

    FEEDBACK?

    • Email: show @ the enterprise ai show dot com
    • Bluesky: @TheEntAIShow.bsky.social
    • Twitter/X: @TheEntAIShow
    • Instagram: @TheEntAIShow

    The Labor Day episode about Tech Labor Sep 03, 2023
    Show notes

    As we celebrate Labor Day (at least in the US), a few labor-centric topics are starting to dominate the headlines - Return to Office (RTO) and AI Augmentation. Let’s discuss how they might play out.

    SHOW: 750

    CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw

    CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"

    SHOW SPONSORS:

    • CloudZero – Cloud Cost Visibility and Savings
    • ​​CloudZero provides immediate and ongoing savings with 100% visibility into your total cloud spend
    • Datadog Monitoring: Modern Monitoring and Analytics
    • Start monitoring your infrastructure, applications, logs and security in one place with a free 14 day Datadog trial. Listeners of The Cloudcast will also receive a free Datadog T-shirt.
    • AWS Insiders is an edgy, entertaining podcast about the services and future of cloud computing at AWS. Listen to AWS Insiders in your favorite podcast player.
    • Cloudfix Homepage

    SHOW NOTES:

    • Amazon tells employees to come back to the office
    • Zoom is making staff return to the office
    • Salesforce offers employees $10/day to return to the office


    GO TO THE OFFICE, WORK FROM HOME, OR SOME SORT OF HYBRID?

    • Why is the RTO being pushed? (Innovation, Collaboration, Teambuilding, Cost of Buildings, etc.)
    • Does either side (Labor vs. Mgmt) have leverage?
    • How will people talk about AI-driven productivity?

    AI IS PROMISING TO DRIVE PRODUCTIVITY, BUT AT WHOSE COST?

    • Should you go into the office?
    • What are the benefits of being in the office? (proximity to power, more collaboration, visibility)
    • Should you lean into AI augmenting or replacing a job function?
    • Will AI go after basic jobs, middle jobs or unique jobs?

    FEEDBACK?

    • Email: show at the cloudcast dot net
    • Twitter: @thecloudcastnet

    FEEDBACK?

    • Email: show @ the enterprise ai show dot com
    • Bluesky: @TheEntAIShow.bsky.social
    • Twitter/X: @TheEntAIShow
    • Instagram: @TheEntAIShow

    Economics & Optimization of AI/ML Aug 30, 2023
    Show notes

    Luis Ceze (@luisceze, Founder/CEO @OctoML) talks about barriers to entry for AI & ML, the economics of funding, training, fine tuning, inferencing and optimizations.

    SHOW: 749

    CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw

    NEW TO CLOUD? CHECK OUT - "CLOUDCAST BASICS"

    SHOW SPONSORS:

    • CloudZero – Cloud Cost Visibility and Savings
    • ​​CloudZero provides immediate and ongoing savings with 100% visibility into your total cloud spend
    • Reduce the complexities of protecting your workloads and applications in a multi-cloud environment. Panoptica provides comprehensive cloud workload protection integrated with API security to protect the entire application lifecycle. Learn more about Panoptica at panoptica.app

    SHOW NOTES:

    • OctoML (homepage)
    • OctoML makes it easier to put AI/ML models into production
    • OctoML launches OctoAI

    Topic 1 - Welcome to the show. You have an interesting background with roots in both VC markets and academia. Tell us a little bit about your background.

    Topic 2 - Generative AI is now all the rage. But as more people dig into AI/ML in general, they find out quickly there are a few barriers to entry. Let’s address some of them as you have an extensive history here. The first barrier I believe most people hit is complexity. The tools to ingest data into models and deployment of models has improved but what about the challenges implementing that into production applications? How do folks overcome this first hurdle?

    Topic 3 - The next hurdle I think most organizations hit is where to place the models. Where to train them, where to fine tune them and where to run them could be the same or different places. Can you talk a bit about placement of models? Also, as a follow up, how does GPU shortages play into this and can models be fine tuned to work around this?

    Topic 4 - Do you see the AI/ML dependence on GPU’s continuing into the future? Will there be an abstraction layer or another technology coming that will allow the industry to move away from GPU’s from more mainstream applications?

    Topic 5 - The next barrier but very related to the previous one is cost. There are some very real world tradeoffs between cost and performance when it comes to AI/ML. What cost factors need to be considered besides hardware costs? Data ingestion and data gravity comes to mind as a hidden cost that can add up quickly if not properly considered. Another one is latency. Maybe you arrive at an answer but at a slower rate that is more economical. How do organizations optimize for cost?

    Topic 6 - Do most organizations tend to use an “off the shelf model” today? Maybe an open source model that they train with their private data? I would expect this to be the fastest way to production, why build your own model when the difference is in your data? How does data privacy factor into this scenario?

    FEEDBACK?

    • Email: show at the cloudcast dot net
    • Twitter: @thecloudcastnet

    FEEDBACK?

    • Email: show @ the enterprise ai show dot com
    • Bluesky: @TheEntAIShow.bsky.social
    • Twitter/X: @TheEntAIShow
    • Instagram: @TheEntAIShow

    Considerations for Enterprise AI Aug 27, 2023
    Show notes

    Let’s talk through some of the challenges that Enterprises will have with AI - from data location to GPU location, to model biases, to data privacy to training vs. execution.

    SHOW: 748

    CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw

    CHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"

    SHOW SPONSORS:

    • Datadog Security Solution: Modern Monitoring and Security
    • Start investigating security threats before it affects your customers with a free 14 day Datadog trial. Listeners of The Cloudcast will also receive a free Datadog T-shirt.
    • Find "Breaking Analysis Podcast with Dave Vellante" on Apple, Google and Spotify
    • Keep up to data with Enterprise Tech with theCUBE
    • AWS Insiders is an edgy, entertaining podcast about the services and future of cloud computing at AWS. Listen to AWS Insiders in your favorite podcast player.
    • Cloudfix Homepage

    SHOW NOTES:

    • An Interview with Daniel Gross and Nat Friedman on the AI Hype Cycle (Stratechery)


    ARE THERE EXPECTATIONS OF “OLD AI” vs. “NEW AI”?

    • Are business leaders thinking about unique AI applications and use-cases, or just “ChatGPT-everything”?
    • Formal data scientists vs. citizen data scientists?
    • Will this just be an application, or have an impact on every aspect of a business and the IT industry?

    WILL ENTERPRISE AI BE DIFFERENT THAN CONSUMER AI?

    • The industry is actively working on a broad set of models that can be used for different use-cases.
    • It's commonly accepted that AI models need to be trained near the sources of data.
    • Many businesses are concerned about including their company data into these public models
    • Many businesses will want to deploy tuned models and applications in data center, public cloud and edge environments.
    • New AI applications will be required to meet security, regulatory and compliance standards, like other business applications.


    FEEDBACK?

    • Email: show at the cloudcast dot net
    • Twitter: @thecloudcastnet

    FEEDBACK?

    • Email: show @ the enterprise ai show dot com
    • Bluesky: @TheEntAIShow.bsky.social
    • Twitter/X: @TheEntAIShow
    • Instagram: @TheEntAIShow

    Previous 1 30 31 32 33 34 111 Next

    Related Podcasts

    Inside Strategic Coach: Connecting Entrepreneurs With What Really Matters

    1

    Inside Strategic Coach: Connecting Entrepreneurs With What Really Matters Business
    WSJ Your Money Briefing

    2

    WSJ Your Money Briefing Business
    FORTUNE Unfiltered with Aaron Task

    3

    FORTUNE Unfiltered with Aaron Task Business
    FORTUNE OnStage Presents: The Most Powerful Women

    4

    FORTUNE OnStage Presents: The Most Powerful Women Business
    Slate Money

    5

    Slate Money Business
    In The Dark – The New Yorker

    6

    In The Dark – The New Yorker Business News
    footer-logo

    Contact Us

    Toll Free: 844-670-7747

    Links

    • Home
    • Top Charts
    • Networks
    • Apps
    • Independents Podcasts
    • Podcast Advertising
    • Podcast News
    • Contact Us
    • About Us
    • Analytics & Insights

    Stay Connected

      Privacy, Terms of Use & Our Code of Ethics Protecting Content Creators Copyrights