The Cloudcast (.net) - Weekly Cloud Computing Podc 4v3as

As we try and predict the future, we explore the possibilities of technology augmenting or replacing the middle of the bell curve. What has history taught us, and where do we expect it to repeat itself or at least rhyme? SHOW: 930 SHOW TRANSCRIPT: The Cloudcast #930 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: [US CLOUD] Cut Enterprise IT Costs by 30-50% with US Cloud [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. SHOW NOTES: I Am Disappointed in the AI Discourse (Steve Klabnik) All My AI Skeptical Friends are Nuts (Thomas Ptacek) Pearl Jam - Porch (1991) MOST OF US ARE THE MIDDLE TODAY….BUT WHAT ABOUT TOMORROW? I’d like to give you free intelligence. Later it might cost something, but it’ll be available If you choose not to engage with it, your job prospects might be limited in the future There ain’t gonna be any middle anymore - how does that relate to AI? “Hollowing out the middle” We can’t force people to use AI, but it’s going to be in the tools you use daily You probably have a choice now AI won’t have binary impacts on everyone (good/bad), but it’ll have impacts I understand that we don’t understand everyone else’s context, but we do have historical context ? Email: show at the cloudcast dot net Twitter/X: @cloudcastpod BlueSky: @cloudcastpod.bsky.social Instagram: @cloudcastpod TikTok: @cloudcastpod

Brian Gracely and Brandon Whichard discuss the top stories in Cloud and AI from May 2025, including Google I/O, Microsoft Build, OpenAI, and Jony Ive.  SHOW: 929 SHOW TRANSCRIPT: The Cloudcast #929 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. [US CLOUD] Cut Enterprise IT Costs by 30-50% with US Cloud SHOW NOTES: Link to May 2025 News and Articles ? Email: show at the cloudcast dot net Bluesky: @cloudcastpod.bsky.social Twitter/X: @cloudcastpod Instagram: @cloudcastpod TikTok: @cloudcastpod

Is it ever a good time for a company to announce vaporware? Let’s discuss the pros and cons of pre-announcements, vaporware, and the strategy of products that may or may not ever exist.   SHOW: 928 SHOW TRANSCRIPT: The Cloudcast #928 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: [US CLOUD] Cut Enterprise IT Costs by 30-50% with US Cloud [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. SHOW NOTES: The McGuffin “Challenge” - Software Defined Talk (May 30, 2025) McGuffin (Wikipedia) IS IT EVER A GOOD TIME TO PRE-ANNOUNCE SOMETHING? OR VAPORWARE ON PURPOSE? Russ Hanneman (Silicon Valley) - “No Revenue” Set a big ambition for the company Distract the market from current company challenges Distract your competitors to chase something where they don’t have strengths Probe the market for ideas - sort of like a “leak” Get the market to pump your valuation, so you can take other actions Stall your customers from potentially buying a competitive offer ? Email: show at the cloudcast dot net Twitter/X: @cloudcastpod BlueSky: @cloudcastpod.bsky.social Instagram: @cloudcastpod TikTok: @cloudcastpod

SHOW: 927 SHOW TRANSCRIPT: The Cloudcast #927 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. [US CLOUD] Cut Enterprise IT Costs by 30-50% with US Cloud SHOW NOTES: Patronus AI website Topic 1 - Welcome to the show, Anand. Give everyone a quick introduction. Topic 2 - Our topic today is Preventing AI Model Hallucinations. Before we dig into that, I wanted to ask about your time as Lead Data Scientist at Meta. What was it like to be early into that organization, and what did you take away from your time there?  Topic 3 - Ok, let’s dig into model evaluations and hallucinations. Let’s start at the beginning. How do model hallucinations come about? Topic 4 - When evaluating models for hallucinations, how does a developer or a data scientist know fact from fiction? Due to its size, complexity, and number of parameters, it’s not feasible to simply fact-check and manually inputs to outputs. How is this process evaluated and automated with some level of confidence? Additionally, numerous benchmarks are available. What are your thoughts on the usefulness of the benchmarks? Topic 5 - How does the concept of data quality play into this? How would we know when a model was given insufficient or improper data vs. a hallucination Topic 6 - We often hear about how frontier models are running out of training data, and increasingly, synthetic data is being used. Does this impact hallucinations in any way? Topic 7 - The last item I wanted to ask you about, Partonus AI, also pertains to model optimization. Can you explain that process? Topic 8 - If anyone is interested, what’s the best way to get started? ? Email: show at the cloudcast dot net Bluesky: @cloudcastpod.bsky.social Twitter/X: @cloudcastpod Instagram: @cloudcastpod TikTok: @cloudcastpod

The industry is debating whether AI should be viewed as augmenting or replacing human-centric tasks. But we don’t yet have a framework to discuss the technical and business impacts of that spectrum of decisions.   SHOW: 926 SHOW TRANSCRIPT: The Cloudcast #926 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: [US CLOUD] Cut Enterprise IT Costs by 30-50% with US Cloud [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. SHOW NOTES: The final 5% of AI success HOW DO WE THINK ABOUT THE INVOLVEMENT OF HUMANS WITH AI SYSTEMS? What do we think AI systems should be capable of? What do we think human systems should be capable of? We know how to quantify error, but do we really know how to quantify error? Almost every question about AI comes down to augment vs. replace, and yet humans tend to skew towards the replace angle.  We like the thought of humans in the loop, but often don’t want to be bothered to interact with humans We haven’t yet created a framework to think about the human +/- AI involvement, because we haven’t really created it for general-purpose automation yet either.  ? Email: show at the cloudcast dot net Twitter/X: @cloudcastpod BlueSky: @cloudcastpod.bsky.social Instagram: @cloudcastpod TikTok: @cloudcastpod

Joel Christner, (@joelchristner, Founder/CEO at @viewyourdata) discusses the complexities of data management in AI, structured and unstructured data, the importance of RAG pipelines and vector databases.  SHOW SUMMARY:  Aaron and Joel discusses the complexities of data management in AI, focusing on the concept of universal data representation. They explore the challenges organizations face with structured and unstructured data, the importance of RAG pipelines and vector databases, and the implications of data privacy in regulated industries. The conversation also touches on managing model versions and the emerging patterns in AI tooling that can help enterprises effectively utilize AI technologies. SHOW: 925 SHOW TRANSCRIPT: The Cloudcast #925 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. [US CLOUD] Cut Enterprise IT Costs by 30-50% with US Cloud SHOW NOTES: View.io website Topic 1 - Welcome to the show, Joel. Give everyone a quick introduction. Topic 2 - Our topic today is everything data and how to represent it and embed it into AI systems. First, what is the challenge with data, structured or unstructured, in organizations today and what is behind the concept of Universal Data Representation Topic 3 - Industry or customer specific data today is big challenge for organziations, especially in highly regulated industries such as healthcare, financial services, etc. The most prevalent solution I am seeing is taking an existing foundational model and then adding a RAG pipeline vs. the cost and time to fine tuning. What are you seeing? Topic 4 - Even when companies have good data, that doesn’t mean that data makes it into the AI pipeline correctly, this is where the embedding problem and your concept of Universal Data Representation comes into play, correct? Topic 5 - But, once you get the first model out, then what? How should the data and models be handled over time? How do you create a platform and a continuous loop to improve the results over time? Topic 6 - What are the most successful use cases you are seeing today with your customers? ? Email: show at the cloudcast dot net Bluesky: @cloudcastpod.bsky.social Twitter/X: @cloudcastpod Instagram: @cloudcastpod TikTok: @cloudcastpod

Where does the next phase of AI-assistants for software development go next? Is it an evolution of developer productivity, or a complete rethinking of the barriers and limitations for broader software development" SHOW SPONSORS: Cut Enterprise IT Costs by 30-50% with US Cloud SHOW NOTES: WHERE DO AI DEVELOPER-ASSISTANTS GO NEXT? A year ago it felt like co-pilots were one of the entry point use-cases for AI. Since then we’ve seen numbers say the uplift is 10-20% productivity. Microsoft claims that 20-30% of their code is now written by AIs. We’ve seen many senior developers speakout that it’s not replacement level technology and they don’t trust it. Companies like Cursor have a $9-10B valuation. Windsurf just got purchased for $3B by OpenAI. Microsoft has Co-Pilot (based on OpenAI models). Google and Amazon are rumored to be launching their own. Lots of companies are launching agents (IBM, Salesforce, Oracle, etc.), and lots of agent frameworks now exist.  So where does it go next? Is it just wide-spead adoption of developer productivity? Is it specialized functions within developer workflows? (e.g. CI/CD, documentation, security evaluations, bug fixes, long-term maintenance, etc.) How far are we from teams being just a few architects, leads, Sr. Devs, and then teams of AI’s (agents, etc.)?Is that a good thing for Sr. Dev personalities that didn’t want to focus on soft-skills? Does that allow for greater experimentation against feature-requests or stories, since they can create more, test more, etc.? Do we start to see companies create skunkworks teams/groups that try to adopt this approach?  Are product managers ready to have zero-backlogs and the demand for new ideas to increase? ? Email: show at the cloudcast dot net Twitter/X: @cloudcastpod BlueSky: @cloudcastpod.bsky.social Instagram: @cloudcastpod TikTok: @cloudcastpod

Siqi Chen, CEO & CFO @ Runway, talks about his journey from JPL developer to Founder, CEO/CFO of a financial planning and analysis (FP&A) startup. We focus on how to build products that customers crave and how a customer-centric view differs from traditional product management. SHOW: 923 SHOW TRANSCRIPT: The Cloudcast #923 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: Cut Enterprise IT Costs by 30-50% with US Cloud SHOW NOTES: Runway website Behind What Seems Like an Overnight Success (video) Topic 1 - Welcome to the show, Siqi. First, your combination of technical and business/financial background is fascinating. How did you go from coding at NASA to Head of Product at Zynga to CEO/CFO for a finance platform startup? Give everyone a quick introduction. Topic 2 - One thing I’ve noticed as a trend in your background is the core concept of building. What has been your philosophy in building products? How do you build products that customers demand? Topic 3 -  Let’s talk about AI and AGI for a moment. We hear all the time how disruptive this will be. What are your thoughts here, and how do we develop both adaptability and resiliency to new technologies? Topic 4 - Let’s talk FP&A (financial planning & analysis). Our core listeners out there tend to skew more towards the tech and infrastructure side, but a core theme of this show is always to be learning as much of the business as possible to apply those concepts. As someone with a background in both worlds, plus now running an FP&A startup, what do you wish folks on the technical side of the house knew more about to make their jobs easier? Topic 5 - We posted a link in the show notes for a video you did on the “overnight success” of Runway. It was a good representation and origin story of how something can go viral with the right mindset and product-market fit. Tell everyone about that as Runway approaches 5 years now.  Topic 6 - What is your biggest challenge in the FP&A space today? Is it AI? We’ve seen a lot of AI disruption in coding, legal, and other areas requiring deep data pool insights. Is this any different? Topic 7 - If anyone is interested, what do you have coming up? How can folks follow you, say hey, or check out what you’ve got going on at Runway? ? Email: show at the cloudcast dot net Bluesky: @cloudcastpod.bsky.social Twitter/X: @cloudcastpod Instagram: @cloudcastpod TikTok: @cloudcastpod

Tech CEOs are making bold proclamations, from WhyQ to It is what it is. How will companies navigate this spectrum as they seek innovation, ability and profitability throughout 2025" SHOW SPONSORS: Cut Enterprise IT Costs by 30-50% with US Cloud SHOW NOTES: Amazon 2024 CEO Letter to Shareholders - A Why Culture Uber CEO says “it is what it is” about changing benefits WHEN DOES WHY BECOME IT IS WHAT IT IS?  Communicating is difficult, especially as the company grows in size (or is remote) Communicating change is difficult, even when communication channels are strong Outside of finance, tech tends to pay at the high end of salaries and perks We’re in an interesting time of challenging economics and pressure from AI  Perks are difficult to pull back, because business success isn’t evenly rewarded Why is positioned as open culture, or strategy, but it’s also about day-to-day behavior It is what it is a decision, but it’s also ability and continued viability Most leaders are going to have to manage between Why and It is what it is in 2025 Most workers are going to have to work between Why and It is what it is in 2025 ? Email: show at the cloudcast dot net Twitter/X: @cloudcastpod BlueSky: @cloudcastpod.bsky.social Instagram: @cloudcastpod TikTok: @cloudcastpod

Aaron Delp, Brian Gracely, and Brandon Whichard discuss the top stories in Cloud and AI from April 2025, including recent M&A activity. SHOW: 921 SHOW TRANSCRIPT: The Cloudcast #921 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: Cut Enterprise IT Costs by 30-50% with US Cloud SHOW NOTES: Link to April 2025 News and Articles ? Email: show at the cloudcast dot net Bluesky: @cloudcastpod.bsky.social Twitter/X: @cloudcastpod Instagram: @cloudcastpod TikTok: @cloudcastpod

As more companies begin to adopt AI into their workforce and day-to-day processes, it will be interesting to watch how their learning curve  is spread across knowledge workers.  SHOW: 920 SHOW TRANSCRIPT: The Cloudcast #920 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: Cut Enterprise IT Costs by 30-50% with US Cloud SHOW NOTES: AI Horseless Carriages (AI -experiences) HOW WILL WE VIEW AN AI AGENT IN THE CONTEXT OF HUMANS OR “S” The low-hanging fruit, simple on-ramp is the key to early AI adoption  Google and Microsoft are already showing revenue increases, likely through the productivity apps bundling Expect prices to increase slowly, but frequently as adoption happens and companies get used to the knowledge worker productivity increases (or expectations) Curious how knowledge workers are adopting, sharing, increasing their learning curve Sharing still seems to be lacking within the AI tools. Not just sharing of an individual task, but sharing of learning curves, best practices, datasets Is there a dataset collection opportunity? This feels like Big Data or Data Lake 5.0.  ? Email: show at the cloudcast dot net Twitter/X: @cloudcastpod BlueSky: @cloudcastpod.bsky.social Instagram: @cloudcastpod TikTok: @cloudcastpod

SHOW: 919 SHOW TRANSCRIPT: The Cloudcast #919 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: SHOW NOTES: Codiac website Codiac at Tech Field Day Topic 1 - Welcome to the show, Mark. Give everyone a quick introduction. Topic 2 - Before we dig into the tech, let’s start with the problem. What problem were you seeing in software development that wasn’t being solved with IaaC, Platform Engineering, DevOps, etc.? Where does SDLC fit into this?  Topic 2a - How did you start the company? Topic 3 - Have microservices helped or hurt? We hear all the time about the loose coupling of microservices and benefits towards production, but doesn’t that also make it harder to develop? How do you recreate an environment where you are dependent on a bunch of microservices in a development pipeline? Topic 4 - I get the feeling this is all about removing friction. But where and how? I see Kubernetes as a blessing and curse many times. It’s an awesome application platform, as long as you aren’t the one that has to do the care and feeding on it. Thoughts? Topic 5 - The goal here I believe is a closed loop system that is beneficial for developers and SRE’s, but how do you balance closed loops vs. extensibility and abstraction of different platforms to the systems that are truly write once. Topic 6 - How does the culture and relationships in the org have to change to meet the changes in the tech? Topic 7 - If anyone is interested, what’s the best way to get started? ? Email: show at the cloudcast dot net Bluesky: @cloudcastpod.bsky.social Twitter/X: @cloudcastpod Instagram: @cloudcastpod TikTok: @cloudcastpod

There is a lot of excitement around AI Agents.  Here are five questions we're asking ourselves about how AI Agents will be used and managed.  SHOW: 918 SHOW TRANSCRIPT: The Cloudcast #918 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: Cut Enterprise IT Costs by 30-50% with US Cloud SHOW NOTES: AuthZ Agents Chaos Why we need to get AuthZ right AI Agent Gateway and AI Agent Mesh Auth in the age of AI Agent (Cloudcast Eps. 885) Trust will make or break AI Agents  Introducing the Agent2Agent Protocol (A2A - Google) Introducing the Model Context Protocol (M - Anthroopic) Top 9 AI Agent Frameworks HOW WILL WE VIEW AN AI AGENT IN THE CONTEXT OF HUMANS OR “S” [Who] How is an AI agent represented in the context of a person, a group, an organization?  [What] How will we audit Agent created data or content? Will we need a way to label Agent-created information? [Where] Will we have agents that are focused on non-human-interactions (e.g. optimizations) vs. human-interactions (e.g. empathy)? [When] Are today’s auth systems able to manage AI agents, or will they need to be re-engineered to deal with different scale, granularity of actions? [Why] Why will we choose an Agent (as the implementation) over another form or working on a problem? [How] Are today’s auth systems able to manage AI agents, or will they need to be re-engineered to deal with different scale, granularity of actions? ? Email: show at the cloudcast dot net Twitter/X: @cloudcastpod BlueSky: @cloudcastpod.bsky.social Instagram: @cloudcastpod TikTok: @cloudcastpod

Taylor Pecachek (Head of Product, API Collaboration Core @getpostman) talks about APIs, AI, and M (Model Context Protocol). We cover what is top of mind for developers and what has shifted in the industry recently. SHOW: 917 SHOW TRANSCRIPT: The Cloudcast #917 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: Try Postman AI Agent Builder Today Cut Enterprise IT Costs by 30-50% with US Cloud SHOW NOTES: Postman - The World’s Leading API Platform OpenAPI Specification M - Model Context Protocol (Anthropic) Topic 1 - Welcome to the show. Tell us a bit about your background, and what you focus on these days at Postman? Tell us a little bit about Postman, for our audience that might not be familiar.  Topic 2 - Let’s begin with some broader concepts - in today’s world, where does a developer interact with software vs. an API - what are the most important things they have to think about? Topic 3 - What are the standards that are most important for developers these days? Where does OpenAPI Spec fit into that space? Topic 4 - APIs are now so pervasive. What are the best practices for API usage patterns and governance? What are some of the things that Postman is doing to improve this for developers and companies? Topic 5 - Let’s talk a little bit about how you’re seeing AI change how developers work, and if/how AI is impacting APIs. Topic 6 - Help us understand how you expect to see APIs interacting with AI Agents. What will the bigger picture look like for these interactions, and how will they be different than current API interactions? Topic 7 - Can we finish by talking about M (Model Context Protocol) a little bit? This is a new standard that is being adopted by many companies.  ? Email: show at the cloudcast dot net Bluesky: @cloudcastpod.bsky.social Twitter/X: @cloudcastpod Instagram: @cloudcastpod TikTok: @cloudcastpod

Instead of focusing on augmenting existing teams and processes with AI, are we beginning to see more companies looking to replace teams with AI? Will economic pressure increase this likelihood" SHOW SPONSORS: Try Postman AI Agent Builder Today Cut Enterprise IT Costs by 30-50% with US Cloud SHOW NOTES: CEOs choose more AI, fewer jobs OpenAI plots charging $20,000 per month for PhD-level Agents Why AI isn’t giving Salesforce a boost The one person $Billion dollar company HUMAN-AUGMENTED vs HUMAN-REPLACEMENT IS A COMPLEX AI STRATEGY Most AI projects today as either augmenting or replacing humans Technology has augmented, shifted or replaced human tasks for a while, this isn’t anything new Management/owners have tried to replace workers with technology for a long time Pricing will tell you something about the goal of the technology (e.g. seat vs. task) Now we’re starting to see the psychology of aligning AI to business goals - augmenting, shifting or replacing The hyperbole of AI funding is to convey direct lines to AI success (whatever success is - AGI, No Coders, No Operations, No Entry-Level, etc..) “How do we replace the employees with AI?” The path to get there isn’t well defined. The politics to get there isn’t defined by technology.  Will the current economic downturn accelerate this line of questioning / strategy?  The Bed Bath and Beyond 20% coupon test.  “The $billion dollar company with one employee.” ? Email: show at the cloudcast dot net Twitter/X: @cloudcastpod BlueSky: @cloudcastpod.bsky.social Instagram: @cloudcastpod TikTok: @cloudcastpod

SHOW: 915 SHOW TRANSCRIPT: The Cloudcast #915 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: Cut Enterprise IT Costs by 30-50% with US Cloud Try Postman AI Agent Builder Today SHOW NOTES: DeepTempo website The Promise of CyberSecurity Foundation Models Evan on The Cloudcast #165 Topic 1 - Welcome back to the show, Evan. It’s hard to believe it’s been over ten years since we last spoke in your StackStorm days. Give everyone a quick introduction. Topic 2 - Today's topic is the intersection of Deep Learning and CyberSecurity. Let’s start at a high level. As someone who has founded several companies, what’s interesting enough in this space for you to jump in? Topic 3 - I talk to many customers about AI and use cases. If they don’t have a leading use case, I often ask where they have a lot of data, and they want insights data. The needle in the haystack scenario. It could be text, unstructured data, log files, data lakes, just about anything. Is this scenario correct when it comes to CyberSecurity? What are the leading use cases? Topic 4 - I’ve been reading and hearing how AI has been a boon for hackers; what are your thoughts on the ever-lasting cat-and-mouse game in the security space and how it has evolved with AI? Topic 5 - Let’s dig into the tech; at DeepTempo’s core, you use Deep Learning and specific foundational models. You wrote a great blog recently on Cybersecurity models. When folks hear the term foundational or frontier model, they think of LLMs and GenAI. How is this different? Topic 6 - Is this a SaaS model? On-prem? Where does the tech sit and why? Topic 7 - If anyone is interested, what’s the best way to get started? ? Email: show at the cloudcast dot net Bluesky: @cloudcastpod.bsky.social Twitter/X: @cloudcastpod Instagram: @cloudcastpod TikTok: @cloudcastpod

Are companies starting to get concerned that AI isn’t meeting expectations? Concern is a part of any new technology adoption curve, but let’s explore some areas where expectations might not be meeting results.  SHOW: 914 SHOW TRANSCRIPT: The Cloudcast #914 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: Try Postman AI Agent Builder Today Cut Enterprise IT Costs by 30-50% with US Cloud SHOW NOTES: Why AI isn’t meeting expectations (The Artificial Intelligence Enterprise) IS THREE YEARS ENOUGH TIME FOR ANY TECHNOLOGY TO TAKE OVER THE WORLD? Costs are still high, and positive ROI is still evolving The technology stack and standards are still evolving Enterprise expectations are being confused with consumer expectations AI predictions and timelines are overly aggressive How is anymore measuring AI success?  The AI future is already here, it’s just unevenly distributed “AI First” strategies are following “Cloud First” strategies - unevenly and distributed Most people don’t like to talk about the augment vs. replace issue Miscellaneous stuff: ChatGPT is the fasting growing tech ever  AGI will be here at any moment For the first 18+ months, it was only an OpenAI + NVIDIA market All software development will be done by AI There will be $1B companies with 1 person GenAI, Frontier Models, Open Source Models, Agents, etc. Deep Seek, M, etc.  ? Email: show at the cloudcast dot net Twitter/X: @cloudcastpod BlueSky: @cloudcastpod.bsky.social Instagram: @cloudcastpod TikTok: @cloudcastpod

Dan Lee, CEO of Nooks.ai talks about agentic AI vs. AI assistants, their differences, and we explore ROI in this space vs. GenAI and common paths to adoption. SHOW: 913 SHOW TRANSCRIPT: The Cloudcast #913 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: Try Postman AI Agent Builder Today Cut Enterprise IT Costs by 30-50% with US Cloud SHOW NOTES: Nooks.ai website Nooks Founders on Forbes 30 under 30 for AI Topic 1 - Welcome to the show, Dan. Give everyone a quick introduction. Topic 2 - Our topic today is AI Agents vs. Assistants. Let’s start there. Many out there are hearing the and will often think an AI Agent is equal to an AI Assistant. What’s the difference? Topic 3 - One of the big problems I’ve seen with AI adoption vs. hype is the ROI. GenAI hit the scene and brought AI into the mainstream, but the world is quickly moving on to Agentic AI. I’ve mainly seen this play out because the ROI on “chatbots” just isn’t there most of the time and also everyone is still scared for data leaks/privacy and hallucinations. Topic 4 - We’ll get into Nooks.ai in a bit but before we do, I wanted to point out that your company started prior to the big breakout of GenAI. How did you see the market back then and has LLM’s and transformer models in general changed your approach to AI Assistants? Topic 5 - When taking customers through the adoption process for AI Assistants, what are the typical steps? How do you go about getting consensus and buy-in from the various orgs in the company? Are there common hurdles folks need to consider? Topic 6 - With Nooks, you’ve decided to conquer the domain of sales and sales prospecting. What was your thoughts here in deciding where and how to remove friction from sales? Is this decision and thought process transferable to other areas? Any universal considerations? Topic 7 - If anyone is interested, what’s the best way to get started? ? Email: show at the cloudcast dot net Bluesky: @cloudcastpod.bsky.social Twitter/X: @cloudcastpod Instagram: @cloudcastpod TikTok: @cloudcastpod

How is it possible for the 900lb gorilla of an industry to stumble or fall from it's heights? Let's explore how emerging trends can knock industry leaders off the top of the mountain.  SHOW: 912 SHOW TRANSCRIPT: The Cloudcast #912 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: Cut Enterprise IT Costs by 30-50% with US Cloud Book a Call Today with US Cloud Try Postman AI Agent Builder Today Cut Enterprise IT Costs by 30-50% with US Cloud SHOW NOTES: IT’S DIFFICULT TO STAY THE BIGGEST COMPANY FOREVER  Merchant Silicon happened for Networking - Will it happen for AI? Cloud Providers happened - Will the opposite happen for AI?  What unknown or unexpected events will happen over the next 3-5 years? Data Center Power Requirements? Geopolitical Activities? ? Email: show at the cloudcast dot net Twitter/X: @cloudcastpod BlueSky: @cloudcastpod.bsky.social Instagram: @cloudcastpod TikTok: @cloudcastpod

Aaron Delp, Brian Gracely and Brandon Whichard discuss the top stories in Cloud and AI from March February 2025 including recent M&A activity. SHOW: 911 SHOW TRANSCRIPT: The Cloudcast #911 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" SHOW SPONSORS: Try Postman AI Agent Builder Today Cut Enterprise IT Costs by 30-50% with US Cloud SHOW NOTES: Link to March 2025 news and articles SEGMENTS COVERED IN THE SHOW: Recent M&A Good Old Fashioned Cloud News The AI Innovation Continues  ? Email: show at the cloudcast dot net Bluesky: @cloudcastpod.bsky.social Twitter/X: @cloudcastpod Instagram: @cloudcastpod TikTok: @cloudcastpod