The Cloudcast

SHOW: 975 SHOW TRANSCRIPT: The Cloudcast #975 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS" SPONSORS: TestKube.io/cloudcastSHOW NOTES: LaunchAny websiteapicoach.ioLessons learned after a decade of API StrategyLatest book: “Principles of Web API Design: Delivering Value with APIs and Microservices (Addison-Wesley under the Vaughn Vernon signature series)Upcoming report on AI-Assisted API DesignJames on The Cloudcast #153James on The Cloudcast #435Topic 1 - Welcome back to the show James. It’s hard to believe it’s been 11 years since we last spoke on the show! Give everyone a brief introduction. Topic 2 - To say we’ve come a long way with APIs as an industry is an understatement. But let’s set the table for everyone. In your interactions with Enterprise customers, what trends or standards are currently top of mind? Topic 3 - You wrote an article (link in show notes) titled Lessons after a Decade of API Strategy. What struck me from the article was the combination of technology, business, and even culture, all of which have to come together. When talking to Enterprises these days, have we moved past understanding what APIs are and straight to solving problems with APIs? Topic 4 - What are the most common use cases you see today? API transformation? API sprawl and consolidation/documentation? Integration of SaaS/3rd party services? Topic 5 - No conversation would be complete without a discussion about AI and AI’s impact on API’s. I view this in several different ways. AI is creating APIs, and AI is being consumed through APIs. How do you think about AI and its impact? What’s changed and what has stayed the same? Topic 6 - Second aspect to the AI topic, where and how does security fit into this intersection of AI and APIs? Topic 7 - If anyone is interested, what’s the best way to get started? FEEDBACK? @cloudcastpod.bsky.social@cloudcastpod@cloudcastpod@cloudcastpod

In the history of technology era changes, things tend to change slowly at first, and then quickly all at once. We’ve now reached the beginning of the all-at-once era of AI change. SHOW: 974 SHOW TRANSCRIPT: The Cloudcast #974 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS" SHOW SPONSORS: [TestKube] TestKube.io/cloudcast[Interconnected]SHOW NOTES: The Benefit of Bubbles (Stratechery)Cube Research - Energy needs of AIAre we building AI for Progress or Power? (Prof G Markets)Amazon earnings call (Oct 2025) transcriptMicrosoft Azure earnings call (Oct 2025) transcript WHAT WAS THE LEADING AI TREND FOR EACH YEAR? FEEDBACK? @cloudcastpod@cloudcastpod.bsky.social@cloudcastpod@cloudcastpod

Brian Gracely (@bgracely) and Brandon Whichard (@bwhichard, @SoftwareDefTalk) discuss the top stories in Cloud and AI from October 2025. SHOW: 973 SHOW TRANSCRIPT: The Cloudcast #973 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS" SPONSORS: [Interconnected][TestKube] TestKube.io/cloudcastSHOW NOTES: Link to October 2025 News and ArticlesFEEDBACK? Email: Bluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram:@cloudcastpodTikTok:@cloudcastpod

Patterns in technology tend to eventually repeat themselves (or at least rhyme), and Amazon is beginning to repeat some of the patterns of Cisco from the early 2000s SHOW: 972 SHOW TRANSCRIPT: The Cloudcast #972 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS" SHOW SPONSORS: [TestKube] TestKube.io/cloudcast[Interconnected]SHOW NOTES: Staying nimble and continuing to strengthen our organizationStrengthening our culture and teamsAmazon Leadership Principles WHERE ARE THE BIGGEST AI RISKS? FEEDBACK? @cloudcastpod@cloudcastpod.bsky.social@cloudcastpod@cloudcastpod

Soham Mazumdar, CEO and Co-Founder of WisdomAI, discusses how organizations can break free from the "drowning in data but starving for insights" paradox that plagues modern enterprises. We explore his journey from Google's TeraGoogle project to co-founding and scaling Rubrik through its $5.6 billion IPO, and why he left that success to build an agentic AI approach to Business Intelligence (BI) that transforms how businesses extract value from their data investments. SHOW: 971 SHOW TRANSCRIPT: The Cloudcast #963 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS" SPONSORS: [Interconnected] [TestKube]TestKube.io/cloudcastSHOW NOTES: WisdomAI websiteTopic 1 - Welcome to the show, Soham. We overlapped briefly at Rubrik. Give everyone a quick introduction and tell everyone a bit about your time at Google prior to Rubrik Topic 2 - You helped scale Rubrik from inception to a $5.6 billion IPO in 2024. What was the "aha moment" that made you leave that success to tackle the enterprise data analytics problem with WisdomAI? Topic 3 - Let's define the core problem. Organizations invest heavily in modern data platforms - Snowflake, Databricks, etc. - but there is the term "drowning in data but starving for insights." What's broken in the traditional BI stack that prevents business users from getting answers? Topic 4 - How do agentic AI and BI fit together? WisdomAI introduces the concept of "Knowledge Fabric" and agentic data insights. Break this down for us - how does this fundamentally differ from traditional dashboards and BI tools? Topic 5 - One of the biggest challenges with GenAI in enterprise settings is hallucination. You've emphasized that WisdomAI separates GenAI from answer generation. How does your approach tackle this critical trust issue? Topic 6 - Let's talk about data integration complexity. Your platform works with both structured and unstructured data - Snowflake, BigQuery, Redshift, but also Excel, PDFs, PowerPoints. How do you handle this "dirty" data reality that most enterprises face? Topic 6a - With so much data, how do most organizations get started? What’s a typical use case for adoption? Topic 7 - If anyone is interested, what’s the best way to get started? FEEDBACK? @cloudcastpod.bsky.social@cloudcastpod@cloudcastpod@cloudcastpod

Why are 95% of AI projects struggling to create positive ROI, according to a recent MIT study? Do businesses need help getting those first few AI projects started and driven to success? SHOW: 970 SHOW TRANSCRIPT: The Cloudcast #970 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS" SHOW SPONSORS: [TestKube] TestKube.io/cloudcast[Interconnected] SHOW NOTES: MIT Study - The State of AI in Business (2025)The Information - Interview with Vihod Khosla (Oct 2025) WHERE ARE THE BIGGEST AI RISKS? FEEDBACK? @cloudcastpod@cloudcastpod.bsky.social@cloudcastpod@cloudcastpod

Monzy Merza (@monzymerza, CEO/Founder @Crogl) talks about build a next-generation Enterprise SOC by leveraging AI to stay ahead of Cybersecurity threats. SHOW: 969 SHOW TRANSCRIPT: The Cloudcast #969 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS" SPONSORS: [Interconnected] [TestKube] TestKube.io/cloudcastSHOW NOTES: Crogl websiteTechCrunch articleForbes ArticleIntellyx ArticleLast WatchDog ArticleTopic 1 - Welcome to the show, Monzy. Give everyone a brief introduction and tell us about your unique journey from government research to Splunk to Databricks to founding Crogl. Topic 2 - Let's start with the current state of cybersecurity and AI. We're seeing headlines about AI being the top cybersecurity concern for 2025, even overtaking ransomware. From your perspective, what's driving this shift and why should organizations be paying attention to the intersection of cybersecurity and AI? Topic 3 - You've described Crogl as an "Iron Man suit" for security analysts. That's a compelling metaphor. Can you break down what you mean by that and how your approach differs from the traditional "reduce alerts" mentality that most vendors have been pushing? Topic 4 - Let's talk about your "knowledge engine" and what you call an “AI for the Enterprise SOC”. You're using compound AI systems with LLMs, smaller models, and knowledge graphs. This sounds quite different from vendors who are just "bolting on" LLMs to existing tools. Walk us through this architectural decision and why it matters. Topic 5 - The cybersecurity industry is experiencing massive alert fatigue - 4,500 alerts per day, with analysts only able to investigate 8-25 of them. Your philosophy is "every alert should be analyzed" rather than filtering them out. That seems counterintuitive to what the market has been doing. How does your autonomous investigation approach actually work in practice? Topic 6 - Where do you see this evolution heading, and what are the implications for SOC teams and security practitioners? Are we heading toward fully autonomous SOCs? FEEDBACK? @cloudcastpod.bsky.social@cloudcastpod

What happens when the biggest technology trend is built on economics that don't make any sense when viewed end-to-end? Eventually, some aspect has to change, but which one? SHOW: 968 SHOW TRANSCRIPT: The Cloudcast #968 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS" SHOW SPONSORS: [TestKube] TestKube.io/cloudcast[Interconnected]SHOW NOTES: Tokens are getting more expensiveNvidia Earnings, Moats and China, Nvidia vs. the AI LabsOracle Assures Investors on AI Cloud Margins as It Struggles to Profit From Older Nvidia Chips WHERE ARE THE BIGGEST AI RISKS? FEEDBACK? @cloudcastpod@cloudcastpod.bsky.social@cloudcastpod@cloudcastpod

Animesh Koratana - CEO and Founder of PlayerZero discusses how agentic AI is transforming software quality assurance through predictive code simulation, and how teams can shift from reactive debugging to proactive problem prevention in the era of AI-generated code. SHOW: 967 SHOW TRANSCRIPT: The Cloudcast #967 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS" SPONSORS: [Interconnected] [TestKube] TestKube.io/cloudcastSHOW NOTES: PlayerZero websiteTopic 1 - Welcome to the show Animesh. Tell us about your background and your involvement in. Topic 2 - Let's start with the core problem you're solving. What is "predictive software quality" and why is this becoming critical now, especially in the era of AI-generated code? Topic 3 - How does agentic code simulation work, and what makes it different from traditional testing approaches? Topic 4 - This feels like it democratizes software quality beyond just engineering teams. How does PlayerZero work across different roles - developers, QA, product managers, and support teams? Topic 5 - Integration and workflow - how does PlayerZero fit into existing CI/CD pipelines and development workflows? What does the implementation look like Topic 6 - Let's talk about scale and complexity. How does PlayerZero handle large, distributed systems with microservices, databases, and complex architectures Topic 7 - If someone out there is interested and wants to get started, what is the best place to started? FEEDBACK? @cloudcastpod.bsky.social@cloudcastpod@cloudcastpod@cloudcastpod

Three years since the launch of ChatGPT, what does the landscape of Enterprise AI look like today? What’s working, what’s struggling and what’s still unknown? SHOW: 966 SHOW TRANSCRIPT: The Cloudcast #966 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS" SHOW SPONSORS: [TestKube] TestKube.io/cloudcast[Interconnected] SHOW NOTES: HOW ARE ENTERPRISES USING AI IN LATE 2025? FEEDBACK? @cloudcastpod@cloudcastpod.bsky.social@cloudcastpod@cloudcastpod

Alan Lefort, CEO and Co-Founder, StrongestLayer, discusses how LLM-powered reasoning is transforming phishing security from reactive pattern-matching to predictive threat detection, and why traditional rule-based systems can no longer defend against sophisticated AI-generated phishing attacks. SHOW: 965 SHOW TRANSCRIPT: The Cloudcast #965 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS" SPONSORS: [Interconnected] [TestKube] TestKube.io/cloudcastSHOW NOTES: WebsiteStrongestLayer ResearchTopic 1 - Welcome to the show Alan. Tell us about your background and your involvement in Cybersecuity. Topic 2 - Let's start with the core challenge. You've said that "if only AI can defend against weaponized AI" - what specific gap in traditional email security did you identify that led to this philosophy? How are AI-powered phishing attacks fundamentally different from what we've seen before? Topic 3 - How does this attack vector demonstrate the limitations of rule-based security systems, and why can't traditional pattern matching keep up? Topic 4 - Let's break down your TRACE (Threat Reasoning and AI Correlation Engine) architecture. You've described it as "LLM-as-master" rather than "LLM-as-add-on." What does this fundamental architectural difference mean for threat detection, and how does it help? Topic 5 - You discuss "pre-campaign detection," which involves identifying potential phishing campaigns weeks before emails are sent. This sounds like moving from reactive to predictive security. How does your system correlate technical intelligence with business context to achieve this early warning capability? Topic 6 - From an implementation standpoint, how do organizations integrate LLM-powered reasoning into their existing security stacks? What's the deployment model, and how do you handle the challenge of reasoning about business context without exposing sensitive organizational data? Topic 7 - If someone out there is interested and wants to get started, what is the best place to start? FEEDBACK? @cloudcastpod.bsky.social@cloudcastpod@cloudcastpod@cloudcastpod

As cloud matures, could the hyperscale cloud providers start looking to acquire SaaS providers to build out a bundled application portfolio? Or are the demands of AI investment too much to pursue that strategy? SHOW: 964 SHOW TRANSCRIPT: The Cloudcast #964 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS" SHOW SPONSORS: [TestKube] TestKube.io/cloudcast[Interconnected] SHOW NOTES: Clouded Judgement100 Biggest SaaS CompaniesCOULD THE CLOUD HYPERSCALERS START LOOKING TO ACQUIRE SAAS COMPANIES? FEEDBACK? @cloudcastpod@cloudcastpod.bsky.social@cloudcastpod@cloudcastpod

Brian Gracely (@bgracely) and Brandon Whichard (@bwhichard, @SoftwareDefTalk) discuss the top stories in Cloud and AI from September 2025. SHOW: 963 SHOW TRANSCRIPT: The Cloudcast #963 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS" SPONSORS: [Interconnected][TestKube] TestKube.io/cloudcastSHOW NOTES: Link to August 2025 News and ArticlesFEEDBACK? Email: Bluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram:@cloudcastpodTikTok:@cloudcastpod

Between the bold predictions, VC economics, and rising usage-patterns are stories of limited ROIs, undefined use-cases and associated job losses. AI is in an awkward phase of maturity and it’s not clear how it will evolve into the next phase. SHOW: 962 SHOW TRANSCRIPT: The Cloudcast #962 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS" SHOW SPONSORS: [TestKube] TestKube.io/cloudcast[Interconnected] SHOW NOTES: THE SPECTRUM OF AI FEEDBACK? @cloudcastpod@cloudcastpod.bsky.social@cloudcastpod@cloudcastpod

Stephan Donze, Founder and CEO of AODocs, discusses the enterprise unstructured data crisis, where 80% of business data remains untapped due to legacy system limitations and the challenges of AI-powered document management at scale. We explore how AI agents can transform document workflows while maintaining trust and compliance, the architectural principles needed for cloud-native document management, and why traditional search fails in the age of generative AI. SHOW: 961 SHOW TRANSCRIPT: The Cloudcast #961 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS" SPONSORS: [Interconnected][TestKube] TestKube.io/cloudcastSHOW NOTES: AODocs websiteTopic 1 - Welcome to the show, Stephan. Give everyone a quick introduction. Topic 2 - We hear all the time about unstructured data and the continual growth in the Enterprise. I’ve heard numbers of upwards of 80% of all corporate data is unstructured. I’ve worked at several companies and supported a significant number of customers over the years, and I can count on one hand how many say they have “control” of their data. How did this come to be, and is the problem as big as I think? Topic 3 - The second part of this, and this might be an even bigger problem, is how much of the data is used? Too many needles in the haystack, if you will. How does Agentic AI address this challenge, and where do traditional document management systems fail? Topic 4 - We’ve talked about data quality in the past on the show, and I’m wondering if this also becomes an issue. Let’s say you have a bunch of draft documents leading up to the final version. Is it possible that improper version control and/or we’re back to a data quality problem of finding the “final version” needle in the haystack? How does AI prevent this and also not hallucinate an answer that may not be true? Topic 5 - Some have called AI’s ability to absorb and report on data just fancy search. What are your thoughts on this? Where and how does traditional search differ from Agentic AI management? Topic 6 - I also see this as being so much more than indexing and reporting on documents. There is also the concept of automation and workflows that agentic AI can improve upon. What use cases are your customers implementing? Topic 6a - Where do you think the industry will go in the next 2-3 years? Topic 7 - If anyone is interested, what’s the best way to get started? FEEDBACK? @cloudcastpod.bsky.social@cloudcastpod@cloudcastpod@cloudcastpod

How is it possible that smart people both love and hate AI? Does it matter how smart you are, or just how you interact with AI? SHOW: 960 SHOW TRANSCRIPT: The Cloudcast #960 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS" SHOW SPONSORS: [TestKube] TestKube.io/cloudcast[Interconnected]SHOW NOTES: WHAT TYPES OF SMART PEOPLE LOVE AND HATE AI? FEEDBACK? @cloudcastpod@cloudcastpod.bsky.social@cloudcastpod@cloudcastpod

Todd Robinson, Founder and President of OpenMetal.io, discusses the resurgence of bare metal infrastructure driven by AI workloads, digital sovereignty requirements, and companies reassessing public cloud economics. The conversation explores how organizations are finding cost and control advantages in bare metal solutions, particularly for long-running applications. It examines OpenMetal's open-source approach using technologies like Ceph and OpenStack to deliver flexible infrastructure alternatives. SHOW: 959 SHOW TRANSCRIPT: The Cloudcast #959 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS" SPONSORS: [Interconnected] [TestKube] TestKube.io/cloudcast SHOW NOTES: OpenMetal websiteTopic 1 - Welcome to the show. Tell us about your background, and you developed a passion around bare metal and cloud services? Topic 2 - Between AI (GPU rental), digital sovereignty initiatives, and even virtualization alternatives, it feels like bare metal is having a resurgence. Give some a sense of what the demands for bare metal solutions look like today? Topic 3 - As companies understand the economics of having used public cloud services, are there certain use-cases that become immediately obvious where more private, hosted, bare metal services just make more sense? Topic 4 - OpenMetal is based on open source technologies like Ceph and OpenStack. How important to customers about the technologies under their applications, or do the economics and control aspects play a bigger role in their decisions? Topic 5 - I’m often asked if there is a model about when it makes more sense to use on-demand service vs. more fixed services. Is there a rule of thumb (e.g. longevity of an application, amount of change, etc.) that you’ve found drives the most success at picking the right environment for applications? Topic 6 - OpenMetal could be described as a public or private cloud service. Do you find that there is still the stigma over “private cloud” that we saw when the hyperscalers were initially growing so quickly? FEEDBACK? @cloudcastpod.bsky.social@cloudcastpod@cloudcastpod@cloudcastpod

How did Oracle Cloud (with OpenAI) suddenly command the news cycle, with a chance to potentially overtake much larger clouds in a few years? Let’s explore how Oracle’s focus on bare-metal and bandwidth might have ripple effects on Cloud and AI. SHOW: 958 SHOW TRANSCRIPT: The Cloudcast #958 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS" SHOW SPONSORS: [TestKube] TestKube.io/cloudcast[Interconnected] SHOW NOTES: WHAT ARE THE ALTERNATIVE PATHS FOR AI? The Cloudcast #330 - Oracle’s Next-Generation Cloud IaaSOracle Chosen as TikTok’s Secure Cloud ProviderOracle Cloud and OpenAI sign $300B dealOracle CloudOracle and OpenAI FEEDBACK? @cloudcastpod@cloudcastpod.bsky.social@cloudcastpod@cloudcastpod

Ole Lensmarm, Founder/CTO at TestKube, discusses how Kubernetes-native testing platforms are designed to address limitations in traditional CI/CD testing workflows. The conversation covers how TestKube differs from existing testing environments, expands test coverage opportunities for development and QA teams, and provides best practices for testing in Kubernetes environments. SHOW: 957 SHOW TRANSCRIPT: The Cloudcast #957 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS" SPONSORS: [Interconnected] [TestKube] TestKube.io/cloudcast[DoIT] doit.comd-o-i-t.comSHOW NOTES: TestKube - A Kubernetes-native platform that powers Continuous Testing for today’s AI-accelerated developmentTestKube (open source)Why did we start TestKube (Ole Lensmar)Topic 1 - Welcome to the show. Tell us about your background and what led you to start TestKube. Topic 2 - Let’s talk about the origins of TestKube. What were some areas where you saw people having frustrations or limitations that were holding back their ability to do proper testing to get things into production? Topic 3 - Let’s talk about the basics of TestKube. Can you talk about how it’s different from existing testing environments, or how people use CI/CD today Topic 4 - Does TestKube expand what a typical Dev-team, or QA-team would test, or does it create new opportunities for test coverage that were very difficult before? Topic 5 - What are some of the results or feedback you’ve heard from people using TestKube? Topic 6 - What are some best practices you’re seeing as people begin to evolve how they test for their Kubernetes environments? Topic 7 - What’s the best way for people to get started with TestKube FEEDBACK? @cloudcastpod.bsky.social@cloudcastpod@cloudcastpod@cloudcastpod

Apple’s iPhone had the Android ecosystem, but where is the Android of AI going to come from to challenge the OpenAI/NVIDIA duopoly? Let’s explore the possibilities. SHOW: 956 SHOW TRANSCRIPT: The Cloudcast #956 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS" SHOW SPONSORS: [DoIT] doit.comd-o-i-t.com[TestKube] TestKube.io/cloudcastSHOW NOTES: WHAT ARE THE ALTERNATIVE PATHS FOR AI? FEEDBACK? @cloudcastpod@cloudcastpod.bsky.social@cloudcastpod@cloudcastpod