The Cloudcast

From extreme ups to startling downs, every week can feel like the peak of expectations and the trough of disillusionment for AI. SHOW: 954 SHOW TRANSCRIPT: The Cloudcast #954 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[VASION] custom demoSHOW NOTES: THE UPS AND DOWNS OF AI - THE CONSTANT HYPE CYCLE Healthy Competition [YES] Consumer and Enterprise Markets [YES] Market leader(s) [YES, sort of] Well-Defined, profitable business model [NO] Open, lower-cost alternative emerged [YES/NO] Usage patterns emerging [YES/NO] Are inference prices coming downFEEDBACK? @cloudcastpod@cloudcastpod.bsky.social@cloudcastpod@cloudcastpod

Amit Kinha - Field CTO DoIT | FinOps Foundation Board Member discusses how the relationship between technology and financial accountability has evolved, and how mainstream FinOps is shifting IT focus around innovation. SHOW: 953 SHOW TRANSCRIPT: The Cloudcast #953 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: custom demodoit.comd-o-i-t.comSHOW NOTES: DoIT - Intent Aware FinOpsDoIT hires Citigroup FinOps Star as ExecutiveFinOps FoundationFinOps X (event)Topic 1 - Welcome to the show. Tell us about your background and your involvement in FinOps. Topic 2 - We’ve been through the early days of cloud, where we were told that cloud was cheaper, and then after COVID, everyone seemed to realize that cloud was actually more expensive. Where are we with FinOps and companies understanding how to think about cloud spending? Topic 3 - You work with the FinOps Foundation. What types of roles do you see focused on FinOps, and how is that evolving as there is greater cloud cost visibility across an entire organization? Topic 4 - How has the technology around FinOps evolved? How much is still manual? How much is piecing together different costs from different systems? And how much is evolving to have an AI component? Topic 5 - How do the tools and platforms from DoIT help to make FinOps easier for companies? What are some of the key areas of focus, and some insights you’re hearing from the companies that you work with directly? Topic 6 - If you had to give a CIO or CFO guidance on how to best think about FinOps, what are the top things you would focus on? FEEDBACK? Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

As we begin to transition from the Cloud era to the AI era, what types of changes can we expect to see happen in the market, within our businesses, and for individuals? SHOW: 952 SHOW TRANSCRIPT: The Cloudcast #952 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[VASION] custom demoSHOW NOTES: WHEN TWO ERAS OVERLAP - CLOUD AND AI FEEDBACK? @cloudcastpod@cloudcastpod.bsky.social@cloudcastpod@cloudcastpod

After a very long roadtrip, let’s explore the lessons we can learn from some of the greatest business models in tech and how or if they apply to the AI era companies. SHOW: 951 SHOW TRANSCRIPT: The Cloudcast #951 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: [VASION] custom demo[DoIT] doit.comd-o-i-t.comSHOW NOTES: 7 Powers of Competitive DynamicsVol 1Vol 2GoogleMetaAWSVol 1Vol 2Vol 3LESSONS FROM THE GREATEST BUSINESS MODELS FEEDBACK? @cloudcastpod@cloudcastpod.bsky.social@cloudcastpod@cloudcastpod

Haseeb Budhani, Co-Founder and CEO of Rafay Systems, discusses the evolution from traditional DevOps to platform engineering and what "Enterprise Ready" Kubernetes looks like in 2025. We explore AI workloads running on Kubernetes and how modern orchestration solutions can transform teams from bottlenecks into enablers. We also cover the security considerations for GPU-enabled AI workloads and balancing developer self-service capabilities with proper governance and control. SHOW: 950 SHOW TRANSCRIPT: The Cloudcast #950 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS" SPONSORS: [DoIT] doit.comd-o-i-t.com[VASION] custom demoSHOW NOTES: Rafay websiteTopic 1 - Welcome to the show, Haseeb. Give everyone a quick introduction. Topic 2 - Let’s start by talking about the evolution of Kubernetes as a platform. You’ve said and we’ve talked about on this show for some time how Kubernetes is more of a platform to run platforms. We’ve also seen trends in the industry and shifts in what it means to be DevOps or Platform Engineering in recent years. You've positioned Rafay as a Kubernetes Operations Platform that's now evolved into a Cloud Automation Platform. How do you define the difference between Kubernetes management and true platform engineering? Topic 3 - What does “Enterprise Ready” Kubernetes look like in 2025? Topic 4 - Let’s flip over to AI/ML and GPUs with Kubernetes for a bit. Many developers and data scientists aren’t aware of the underlying platform they run on. I saw a stat recently that about 95% of AI runs on Kubernetes, either on-prem or in the cloud. Despite this, Platform teams are often stuck doing manual GPU provisioning, which doesn't scale with AI adoption. How do modern GPU orchestration solutions change the platform team's role? Topic 5 - With GPU workloads often handling sensitive data and AI models, security becomes even more critical. How should organizations approach security and compliance in their GPU-enabled Kubernetes operations? Topic 6 - "Most developers don't want to write YAML or manage clusters — they just want to ship software." How do you balance giving developers the self-service capabilities they want while maintaining the control and governance that platform teams need? Topic 7 - If anyone is interested, what’s the best way to get started? FEEDBACK? @cloudcastpod.bsky.social@cloudcastpod@cloudcastpod@cloudcastpod

Shay Levi (Co-Founder & CEO @ Unframe) & Larissa Schneider (Co-Founder & COO @ Unframe) discuss the complexities of building an enterprise-grade AI platform. Topics include what an AI platform is, the advantages of adoption, and the efficiencies gained. SHOW: 945 SHOW TRANSCRIPT: The Cloudcast #945 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: [VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.[DoIT] Visit doit.com (that’s d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.SHOW NOTES: Unframe websiteTopic 1 - Shay & Larissa, welcome to the show! Give everyone a brief introduction and a little about your background. Topic 2 - Today, we’re discussing AI Security and Enterprise Platforms. What are the problems or issues you see with AI development today? Topic 3 - Is this where an AI platform comes into play? I’m seeing more and more about this term and wondering what it truly means to be a platform. What is your definition of a platform, and what are the advantages? Topic 4 - Shay, considering your background in APIs and API security, how does that knowledge transfer into this space? Topic 5 - Larissa, with your background in operations, where do you see the inefficiencies in AI development and lifecycle management of the AI models and the datasets? Topic 6 - Let’s talk about Unframe. Give everyone an overview. Is this a SaaS service? How and where does it fit into your typical AI development stack? Topic 7 - If listeners want to get started and learn more, what’s the best way to get started? FEEDBACK? @cloudcastpod.bsky.social@cloudcastpod@cloudcastpod@cloudcastpod

Are we beginning to see the dawn of a 2nd phase of Cloud Computing, as AI begins to become a workload that impacts every aspect of the previous era of Cloud? Let’s explore… SHOW: 948 SHOW TRANSCRIPT: The Cloudcast #948 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[VASION] custom demoSHOW NOTES: CLOUD 1.0 vs. CLOUD 2.0 FEEDBACK? @cloudcastpod@cloudcastpod.bsky.social@cloudcastpod@cloudcastpod

Brian Gracely (@bgracely) Aaron Delp (@aarondelpt) and Brandon Whichard (@bwhichard, @SoftwareDefTalk) discuss the top stories in Cloud and AI from July 2025. SHOW: 947 SHOW TRANSCRIPT: The Cloudcast #947 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS" SPONSORS: [VASION] custom demo[DoIT] doit.comd-o-i-t.comSHOW NOTES: Link to July 2025 News and ArticlesFEEDBACK? Email: Bluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram:@cloudcastpodTikTok:@cloudcastpod

The hardest thing for any growing company to do is manage the transition from hypergrowth to the dual tracks of growth and stability. AWS is entering their Hybrid phase, or the transition from Day 1 to Day 2. How will it go? SHOW: 946 SHOW TRANSCRIPT: The Cloudcast #946 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[VASION] custom demoSHOW NOTES: Amazon Q2 (July 2025) ResultsReviewing Amazon/AWS Q2 2025 Results (CNBC)AWS QoQ Earnings Growth Rates (2014-2025)Andy Jassy defends Amazon/AWS AI strategyAmazon Q2 2025 Earnings Call TranscriptUpdate from Andy Jasay Amazon Generative AI (Amazon Internal)HOW WILL AWS HANDLE DAY 1 AND DAY 2? FEEDBACK? @cloudcastpod@cloudcastpod.bsky.social@cloudcastpod@cloudcastpod

Elliot Shmukler (Co-Founder and CEO at Anomalo) talks about the impact of data quality on AI, how unstructured data can be improved, and how monitoring of data lakes can help prevent model drift and give organizations confidence with predictable results. SHOW: 945 SHOW TRANSCRIPT: The Cloudcast #945 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: doit.comd-o-i-t.comcustom demoFCTR.ioSHOW NOTES: Anomalo websiteThe Cloudcast #598 - Data QualitySnowflake invests in AnomaloTopic 1 - Elliot, welcome back! It’s hard to believe it has been 3 years since we spoke! Give everyone a brief introduction. Topic 2 - Here’s the problem I see when it comes to AI adoption today. There isn’t an “off the shelf” AI model with an organization's data built in; that’s impossible. So, you must bring this data, often unstructured, to the model, often with mixed results. Do you agree? Topic 3 - I see data quality in two ways… the quality of the data before ingestion is one way, we want the data to be clean going in. But, we also need a way to detect, mitigate, and do a root cause analysis for quality checks along the way, correct? Give everyone an idea of what this life cycle looks like. Topic 4 - What are you seeing as the barriers to adoption? Is it the tools, the models, the need for RAG pipelines, the lack of data scientists, and AIOps? Topic 5 - We have this crossroads where proprietary data makes an organization unique, but exposing that unique data puts the organization at risk. How much of a factor does this play, and how do you advise organizations around this complex intersection Topic 6 - There is always this concept of predictable results. This answer should be consistent and repeatable. We’ve seen things like model/data drift and hallucinations hinder this concept, leading to a lack of confidence in the results. How do you advise organizations to tackle this lifecycle management and predictability over time? Topic 7 - If listeners want to get started and learn more, what’s the best way to get started? FEEDBACK? @cloudcastpod.bsky.social@cloudcastpod@cloudcastpod@cloudcastpod

If the AI Agent hype ends up being real, how will businesses manage AI Agents from the perspective of people vs. non-people? SHOW: 944 SHOW TRANSCRIPT: The Cloudcast #944 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: [VASION] custom demo[FCTR] FCTR.io[DoIT] doit.comd-o-i-t.comSHOW NOTES: Batch jobs vs Cron jobsRobotic Process AutomationWhat is AIOps?AI Platform goes rogue, deletes company database (Replit)How do consultants think about AI AgentsWHAT IF AI AGENTS ARE SUCCESSFUL? FEEDBACK? @cloudcastpod@cloudcastpod.bsky.social@cloudcastpod@cloudcastpod

Luke Marsden, CEO and Founder, HelixML talks about Private GenAI. What is it? Why do you need it? We also discuss integration into CI/CD pipelines, the layers of a Private GenAI Stack, and why most organizations are opting for RAG over fine-tuning LLMs. SHOW: 943 SHOW TRANSCRIPT: The Cloudcast #943 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS" SPONSORS: doit.comd-o-i-t.comFCTR.iocustom demoSHOW NOTES: HelixML websiteHelixML GitHubHelix 1.0 Announcement BlogTopic 1 - Welcome to the show Luke. Give everyone a brief intro. Topic 2 - Let’s start with Priavte GenAI. What is it? Why should organizations out there consider it? Why not just use OpenAI GPT’s and fine tune them? Topic 2a Follow up - Regulatory Compliance - take the opposing forces in the EU for instance to using SaaS based services based in the United States. Topic 3 - Let’s break down the layers in a typical Private AI stack. I’m seen various ways to represent this such as infrastructure layer, MLOps layer, models, data layer (typically RAG), etc. How do you break up the stack into individual components Topic 4 - My mind immediately jumps to similarities in the DevOps space. Abstraction layers and components like Docker and containers comes to mind, integration into CI/CD pipelines, etc. I feel like MLOps is it’s own thing with specific tools and workflows. Does this all come together and if so how? Topic 5 - Also, what does this mean for versioning and lifecycle management of the models and the data? Topic 6 - We are seeing more and more data pipelines with backed by multiple models, sometimes in multiple locations. How do handle this from both a scheduling and interface standpoint? Is everything hidden behind APIs for instance? Topic 7 - If anyone is interested, what’s the best way to get started? FEEDBACK? @cloudcastpod.bsky.social@cloudcastpod@cloudcastpod@cloudcastpod

If the rewards of a startup are only going to the founders and AI researchers, then what incentives are there for all the other roles? Has AI broken the startup model? SHOW: 942 SHOW TRANSCRIPT: The Cloudcast #942 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: [FCTR] FCTR.io[VASION] custom demo[DoIT] doit.comd-o-i-t.com SHOW NOTES: Google and Windsurf, Stinky Deals, Chesterton’s Fence and the Silicon Valley EcosystemAndreessen Horowitz’s Casado Plays Talent Broker for CursorCognition acquires Windsurf after CEO and Researchers go to GoogleAre AI Acquihires Screwing Up the Startup Space?How ‘Acquihires’ Are Reshaping Silicon Valley’s AI Investments WHY WOULD ANYBODY JOIN AN AI STARTUP? FEEDBACK? @cloudcastpod@cloudcastpod.bsky.social@cloudcastpod@cloudcastpod

We discuss the Cursor pricing changes SHOW: 941 SHOW TRANSCRIPT: The Cloudcast #941 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: [VASION] custom demo[DoIT] doit.comd-o-i-t.com[FCTR] FCTR.ioSHOW NOTES: Cursor Series-C FundingNew Cursor Pricing TiersUpdated Cursor PricingCursor apologizes for unclear pricing changesPromiscuity of Modern DevelopersAaron Levie speculates that coding-assistants are involved with 50% of AI usage todayAnysphere, the startup behind coding app Cursor, hired two former Anthropic leadMeasuring the actual impact of AI codingWindsurf’s CEO goes to Google; OpenAI’s acquisition falls apartWindsurf 2-3x’d headcount, and then the founding team walked. Pretty wild Topic 1 - What happened (basics of the pricing change)? Topic 2 - How was this communicated? Topic 3 - Where was the confusion? Topic 4 - Wasn’t this inevitable because of huge costs and funding rounds? Topic 5 - How do we square the “developers don’t pay for anything” and “AI-native vs. AI-augmented” when developers are still in the loop? Topic 6 - Does this inevitability mean AI coding-assistants can’t be a standalone business, but need to be in a bundle? Topic 7 - WTF Windsurf? FEEDBACK? Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

In the Enterprise, there is a spectrum forming of aggressive adopters and passive resistors to AI usage. While there are no best practices yet, C-suites are pushing. So what are you waiting for? SHOW: 940 SHOW TRANSCRIPT: The Cloudcast #940 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[FCTR] FCTR.io[VASION] custom demoSHOW NOTES: AI Eats the WorldEast Meets West 2025 (keynote presentation)The State of Consumer AI (2025 - Menlo Ventures) WHEN SHOULD YOU START ENGAGING WITH AI? FEEDBACK?

Julian LaNeve, CTO at Astronomer, discusses data pipelines, Apache Airflow, Astronomer’s managed offering, and the benefits of data pipelines for both developers and operations. SHOW: 939 SHOW TRANSCRIPT: The Cloudcast #939 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS" SPONSORS: [VASION] custom demo[FCTR] FCTR.ioSHOW NOTES: Astonomer.io websiteApache AirflowTopic 1 - Welcome to the show, Julian. Give everyone a quick introduction. Topic 2 - Our topic today is Data Pipelines with Apache Airflow. For those unfamiliar, provide an introduction to Apache Airflow and how Airflow manages data pipelines. Topic 3 - What are the advantages of Apache Airflow vs. others in the space? What are the downsides? How does Airflow fit in with other Apache projects? Topic 4 - I would imagine this is where Astronomer potentially comes into play. What makes Astonomer different from Airflow? What problems are you trying to solve for both developers and operations folks? Topic 5 - What does a typical implementation look like? What growing pains do developers typically face when they need to introduce pipelining tools and begin standardization? Is it a scale issue? A complexity of tools issue? Integrations with infrastructure? Topic 6 - One aspect I typically see with automation is security, especially at scale. What recommendations do you have for developers regarding security, particularly in the context of multi-tenancy, for data pipelines? Topic 7 - If anyone is interested, what’s the best way to get started? FEEDBACK? @cloudcastpod.bsky.social@cloudcastpod@cloudcastpod@cloudcastpod

As we get to the mid-point of 2025, let’s take a look at where the cloud is - what’s doing well, what’s going through some changes, and what might be in store for the rest of 2025. SHOW: 938 SHOW TRANSCRIPT: The Cloudcast #938 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: [FCTR] FCTR.io[VASION]custom demo SHOW NOTES: East Meets West 2025 (keynote presentation)FEEDBACK? @cloudcastpod@cloudcastpod.bsky.social@cloudcastpod@cloudcastpod

Brian Gracely (@bgracely) and Brandon Whichard (@bwhichard, @SoftwareDefTalk) discuss the top stories in Cloud and AI from June 2025. SHOW: 937 SHOW TRANSCRIPT: The Cloudcast #937 Transcript SHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS" SPONSORS: [VASION] custom demo[FCTR] FCTR.ioSHOW NOTES: Link to June 2025 News and ArticlesFEEDBACK? @cloudcastpod.bsky.social@cloudcastpod@cloudcastpod@cloudcastpod

As AI evolves into the Enterprise, will we see greater uptake of AI-native applications or AI add-on applications? Briandon Whichard (@bwhichard) and Cote (@cote) from Software Defined Talk explore the pros and cons. SHOW: 936 SHOW VIDEO: Watch the YouTube Live Recording of SDT Episode 525 CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS" SHOW SPONSORS: [US CLOUD] Cut Enterprise IT Support Costs by 30-50% with US Cloud[VASION] custom demoSHOW NOTES: This week, we try a shorter format inspired by the Dithering podcast. The conversation digs into the difference between apps built with AI from the ground up and those with AI bolted on after the fact. Watch the YouTube Live Recording of SDT Episode 525 RUNDOWN Format inspired by DitheringAn Interview with Cursor Co-Founder and CEO Michael Truell FEEDBACK? @cloudcastpod@cloudcastpod.bsky.social@cloudcastpod@cloudcastpod

Tanmai Gopal, CEO and Co-Founder at Hasura, discusses the importance of reliability and trustworthiness for both generative and agentic AI. We discuss the pitfalls in existing data pipelines and how to enhance the results. SHOW: 931 SHOW TRANSCRIPT: The Cloudcast #931 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: [VASION] custom demo[US CLOUD] Cut Enterprise IT Support Costs by 30-50% with US CloudSHOW NOTES: Hasura websiteHasura GitHubTopic 1 - Welcome to the show, Tanmai. Give everyone a quick introduction. Topic 2 - Our topic today is Reliable and Trustworthy AI Agents. First off, what’s the problem we’re solving for here (define reliability and trustworthiness)? Are we solving for hallucinations? Reliability? Connecting private and Enterprise data to models with fine-tuning or RAG? Topic 3 - How is reliability or trustworthiness measured? I would imagine this isn’t black and white, but maybe a bit more subjective? Topic 4 - How do Agentic and GenAI differ, if at all, with this model? I would think that since Gen AI lends itself more to the creative side and Agent AI is very deterministic, the approaches to solving the problem might be different. Thoughts? Topic 5 - Let’s talk about data pipelines. Today, many organizations take an off-the-shelf frontier or foundational model and then apply a RAG pipeline to it for customization. Sometimes fine-tuning is involved, but in my experience, this is the exception rather than the rule. What is wrong with that architecture today? How is this less reliable? Topic 6 - Let’s talk about Hasura and PromptQL. As I understand it, you are decoupling query planning from execution, thereby creating a more deterministic AI workflow. Now… that’s a mouthful. Can you break down what this means and explain how the architecture differs? Topic 7 - If anyone is interested, what’s the best way to get started? FEEDBACK? @cloudcastpod.bsky.social@cloudcastpod@cloudcastpod@cloudcastpod