Podcasts about Google Cloud

(0:00) The Besties welcome Nico Rosberg! (0:27) Nico's history with F1, what makes a great driver (6:24) The business of F1 (10:05) Teammate rivalries, why "Drive to Survive" works, future growth (16:48) Post-F1 career, best angel investments, becoming a VC (22:16) Partner shoutouts: Thanks to OKX, Circle, Polymarket, Solana, BVNK, and Google Cloud! Check out OKX: https://www.okx.com Check out Circle: https://www.circle.com Follow Nico: https://x.com/nicorosberg Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg Follow on X: https://x.com/theallinpod Follow on Instagram: https://www.instagram.com/theallinpod Follow on TikTok: https://www.tiktok.com/@theallinpod Follow on LinkedIn: https://www.linkedin.com/company/allinpod Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg Intro Video Credit: https://x.com/TheZachEffect

LdN433 Merz kritisiert Israel, Russlands hybrider Krieg, Kretschmer will Nord Stream reaktivieren, Bundeswehr setzt auf Google-Cloud, Microsoft sperrt Mail-Zugang von IStGH-Chefermittler, Verkehrswende in Paris, Ulf auf re:publica

Guests are Nick Eberts and Jon Li. Nick is a Product Manager at Google working on Fleets and Multi-Cluster and Jon is a Software Engineer at Google working on AI Inference on Kubernetes. We discussed the newly announced Multi Cluster Orchestrator (MCO) and the challenges of running multiple clusters.   Do you have something cool to share? Some questions? Let us know: - web: kubernetespodcast.com - mail: kubernetespodcast@google.com - twitter: @kubernetespod - bluesky: @kubernetespodcast.com   News of the week Etcd has released version 3.6.0 Kubernetes 1.33 is now available in the Rapid channel in GKE Kyverno 1.14.0 was released Links from the interview Nick Eberts on LinkedIn Jon Li on LinkedIn MCO Blog MCO Repo Cluster Inventory API ClusterProfile API Gemma 3 vLLM Sample (deploy on Google Cloud using Terraform and Argo CD) Hello World Sample (deploy on Google Cloud using Terraform and Argo CD) Gateway API Inference Extension

Welcome to episode 305 of The Cloud Pod – where the forecast is always cloudy! How did you do on your Microsoft Build Predictions? As badly as us? Plus we’ve got news on AWS service changes, a lifecycle catch up page for all those services that bought the farm, tons of Gemini news (seriously, like a lot) and even some AI for .NET.  Welcome to the cloud pod- and thanks for joining us!  Titles we almost went with this week: Google’s Jules: An AI Gem for Cloud Devs   Autonomous Agents of Code: Jules’ Excellent Adventure in the Google Cloud Gemini 2.5 Shoots for the Stars with Cosmic-Sized AI Upgrades Resistance is Futile: OpenAI Assimilates Your Codebase  AWS Transformers: Rise of the Agentic AI  Teaching an old .NET dog new Linux tricks CodeBuild Puts Docker Builds in Hyperdrive Inspector Gadget’s New Trick: Mapping Container Vulnerabilities Yo Dawg, I Heard You Like Scanning Containers… Google Cranks AI to 11 with New Ultra Plan I, For One, Welcome Our New AI Ultra Overlords The Inference Engine That Could: llm-d Chugs Ahead with Kubernetes-Native        Scaling Scaling Inference to Infinity and Beyond with Google Cloud’s llm-d Google Cloud and Spring AI: A Match Made in Java-n The Fast and the Serverless: Cloud Run Drifts into AI Studio Territory SQL Server 2025: A Vector Victor, Not a Scalar Failure AI will solve my life problems of having money in my pocket I used to scan all the containers but now I will just scan yours AI Is Going Great – or How ML Makes Money  01:50 Jules: Google's autonomous AI coding agent Jules is an autonomous AI agent that can read code, understand intent, and make code changes on its own.  It goes beyond AI coding assistants to operate independently. It clones code into a secure Google Cloud VM, allowing it to understand the full context of a project. This enables it to write tests, build features, fix bugs, and more. Jules operates asynchronously in the background, presenting its plan and reasoning when complete. This allows developers to focus on other tasks while it works. Integration with GitHub enables Jules to work directly in existing workflows without extra setup or context switching. Developers can steer and give feedback throughout the process. For cloud developers, Jules demonstrates the rapid advancement of AI for coding moving from prototype to product. Its cloud-based parallel execution enables efficient handling of complex, multi-file changes. While in public beta, Jules is free with some usage limits. This allows developers to experiment with this cutting-edge AI coding agent and understand its potential to accelerate development on Google Cloud. 02:56 Ryan – “More and more, as new tools get released, it's just going to change the way anything gets written… it's getting more and more capable.”  05:45 Introducing Flow: Google's AI filmmaking tool designed for Veo

In this episode, Jason chats with David Friedberg—CEO of Ohalo Genetics and co-host of the All-In Podcast—about how AI is transforming agriculture and startups. David introduces Ohalo's "Boosted Breeding" technology, which enables plants to inherit 100% of genes from both parents, potentially doubling crop yields. They also discuss building AI-first companies, genome language models, and the future of creativity in an AI-driven world.*Timestamps:(0:00) David Friedberg joins Jason to discuss AI Basics.(1:44) How AI leveled up hiring and operations at startups(5:46) AI and economic opportunities, complex problem-solving, and leadership's role(11:48) How to build an AI-first company culture(16:48) AI's transformative impact on biology and DNA sequencing(21:36) The “GLM” - GPT for DNA Is already in production(23:17) Biology meets AI: designing perfect plants with CRISPR and genome models(32:08) Is the “Age of Abundance” around the corner?(35:56) Democratization of creativity through AI: personalized Star Wars musicals & the future of media*Uncover more valuable insights from AI leaders in Google Cloud's 'Future of AI: Perspectives for Startups' report. Discover what 23 AI industry leaders think about the future of AI—and how it impacts your business. Read their perspectives here: https://goo.gle/futureofai*Check out all of the Startup Basics episodes here: https://thisweekinstartups.com/basicsCheck out Google Cloud: https://cloud.google.com/Check out Ohalo: https://www.ohalo.com/*Follow David:X: https://x.com/friedbergLinkedIn: https://www.linkedin.com/in/davidfriedberg/*Follow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanis*Follow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.com

Welcome to episode 304 of The Cloud Pod – where the forecast is always cloudy! Justin, Ryan and Matt are in the house tonight to bring you all the latest and greatest in Cloud and AI news, including AWS new Chilean region, the ongoing tug of war between Open AI and Microsoft, and even some K8 updates – plus an aftershow. Let's get started!  Titles we almost went with this week: Open AI gets a COO delivered Things get Chile with new regions Observability and AI, I Q-uestion the logic Cloud Pod tries to Microsoft Build predictions K8 resizes pods on the fly Microsoft strongly reinforces the AI Foundry The Cloud Pod renegotiates the hosts’ contracts … we now have to pay the Cloud Pod to be on it  Follow Up  01:53 DOJ’s extreme proposals will hurt consumers and America’s tech leadership  We previously talked about the DOJ and Google Antitrust lawsuit – and now the DOJ has wrapped up their remedies hearing, and Google has *not* been quiet about it. One of the claims is that the remedies would hurt browser choice, putting browsers like Firefox out of business completely.  Google also claimed that data disclosure mandates would threaten user's privacy – it would be MUCH safer if they could just sell it to you via their marketplace.  We do agree that divesting Chrome would make things more complicated for people living in the Google Cloud.  Really, what comes down to is that Google claims DOJ's solutions are the wrong solutions – although to us, Google's solutions aren't much better.  AI – Or How ML Makes Money  09:20 OpenAI Expands Leadership with Fidji Simo  OpenAI Hires Instacart CEO Simo For Major Leadership Role  OpenAI is hiring Fidji Simo as the CEO of applications, representing a major restructuring of leadership at the company.  She was the CEO at

(0:00) The Besties welcome Sergey Brin! (0:40) Sergey on his return to Google, and how an OpenAI employee played a role! (5:58) AI's true superpower and the next jump (12:23) AI robotics: humanoids and other form factors (17:07) Future of foundational models and open-source (19:59) Human-computer interaction in the age of AI (31:09) Partner shoutouts: Thanks to OKX, Circle, Polymarket, Solana, BVNK, and Google Cloud! Check out OKX: https://www.okx.com Check out Circle: https://www.circle.com Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg Follow on X: https://x.com/theallinpod Follow on Instagram: https://www.instagram.com/theallinpod Follow on TikTok: https://www.tiktok.com/@theallinpod Follow on LinkedIn: https://www.linkedin.com/company/allinpod Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg Intro Video Credit: https://x.com/TheZachEffec

Sports Geek Rapid Rundown is a daily sports business podcast curated by Sports Geek Reads. We publish it on Sports Geek twice per week. In this episode: Discover NBC's interactive NBA coverage, MLB's personalized highlights via Google Cloud, and breakthroughs in self-coding AI. Plus Microsoft's AI competition and using AI for sports app design - all curated by Sports Geek Reads. Subscribe at https://sportsgeekhq.com/rapidrundown.

Martin Mao is the co-founder and CEO of Chronosphere, an observability platform built for the modern containerized world. Prior to Chronosphere, Martin led the observability team at Uber, tackling the unique challenges of large-scale distributed systems. With a background as a technical lead at AWS, Martin brings unique experience in building scalable and reliable infrastructure. In this episode, he shares the story behind Chronosphere, its approach to cost-efficient observability, and the future of monitoring in the age of AI.What you'll learn:The specific observability challenges that arise when transitioning to containerized environments and microservices architectures, including increased data volume and new problem sources.How Chronosphere addresses the issue of wasteful data storage by providing features that identify and optimize useful data, ensuring customers only pay for valuable insights.Chronosphere's strategy for competing with observability solutions offered by major cloud providers like AWS, Azure, and Google Cloud, focusing on specialized end-to-end product.The innovative ways in which Chronosphere's products, including their observability platform and telemetry pipeline, improve the process of detecting and resolving problems.How Chronosphere is leveraging AI and knowledge graphs to normalize unstructured data, enhance its analytics engine, and provide more effective insights to customers.Why targeting early adopters and tech-forward companies is beneficial for product innovation, providing valuable feedback for further improvements and new features. How observability requirements are changing with the rise of AI and LLM-based applications, and the unique data collection and evaluation criteria needed for GPUs.Takeaways:Chronosphere originated from the observability challenges faced at Uber, where existing solutions couldn't handle the scale and complexity of a containerized environment.Cost efficiency is a major differentiator for Chronosphere, offering significantly better cost-benefit ratios compared to other solutions, making it attractive for companies operating at scale.The company's telemetry pipeline product can be used with existing observability solutions like Splunk and Elastic to reduce costs without requiring a full platform migration.Chronosphere's architecture is purposely single-tenanted to minimize coupled infrastructures, ensuring reliability and continuous monitoring even when core components go down.AI-driven insights for observability may not benefit from LLMs that are trained on private business data, which can be diverse and may cause models to overfit to a specific case.Many tech-forward companies are using the platform to monitor model training which involves GPU clusters and a new evaluation criterion that is unlike general CPU workload.The company found a huge potential by scrubbing the diverse data and building knowledge graphs to be used as a source of useful information when problems are recognized.Subscribe to Startup Project for more engaging conversations with leading entrepreneurs!→ Email updates: ⁠https://startupproject.substack.com/⁠#StartupProject #Chronosphere #Observability #Containers #Microservices #Uber #AWS #Monitoring #CloudNative #CostOptimization #AI #ArtificialIntelligence #LLM #MLOps #Entrepreneurship #Podcast #YouTube #Tech #Innovation

In this episode, Lois Houston and Nikita Abraham, along with Nick Wagner, focus on GoldenGate's terminology and architectural evolution.   Nick defines source and target systems, which are crucial for data replication, and then moves on to explain the data extraction and replication processes.   He also talks about the new microservices architecture, which replaces the classic architecture, offering benefits like simplified management, enhanced security, and a user-friendly interface. Nick highlights how this architecture facilitates easy upgrades and provides a streamlined experience for administrators.   Oracle GoldenGate 23ai: Fundamentals: https://mylearn.oracle.com/ou/course/oracle-goldengate-23ai-fundamentals/145884/237273 Oracle University Learning Community: https://education.oracle.com/ou-community LinkedIn: https://www.linkedin.com/showcase/oracle-university/ X: https://x.com/Oracle_Edu   Special thanks to Arijit Ghosh, David Wright, Kris-Ann Nansen, Radhika Banka, and the OU Studio Team for helping us create this episode.   ---------------------------------------------------------------   Episode Transcript:   00:00 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started! 00:25 Nikita: Welcome to the Oracle University Podcast! I'm Nikita Abraham, Team Lead of Editorial Services with Oracle University, and with me is Lois Houston: Director of Innovation Programs. Lois: Hi there! Thanks for joining us again as we make our way through Oracle GoldenGate 23ai. Last week, we discussed all the new features introduced in 23ai and today, we'll move on to the terminology, the different processes and what they do, and the architecture of the product at a high level. 00:56 Nikita: Back with us is Nick Wagner, Senior Director of Product Management for Oracle GoldenGate. Hi Nick! Let's get into some of the terminology. What do we actually call stuff in GoldenGate? Nick: Within GoldenGate, we have our source systems and our target systems. The source is where we're going to be capturing data from, the targets, where we're going to be applying data into. And when we start talking about things like active-active or setting up GoldenGate for high availability, where your source can also be your target, it does become a little bit more complex. And so in some of those cases, we might refer to things as East and West, or America and Europe, or different versions of that. We also have a couple of different things within the product itself. We have what we call our Extract and our Replicat. The Extract is going to be the process that pulls the data out of the database, our capture technology. Our Replicat's going to be the one that applies the data into the target system, or you can also look at it as a push technology. We have what we call our Distribution Path. Our Distribution Path is going to be how we're sending the data across the network. A lot of times when customers run GoldenGate, they don't have the luxury of just having a single server of GoldenGate that can pull data from one database and push data into another one. They need to set up multiple hops of that data. And so in that case, we would use what we call a Distribution Path to send that data from one system to the next. We also have what we call a Target Initiated Path. It's kind of a subset of your Distribution Path, but it allows you to communicate from a less secure environment into a more secure environment.  02:33 Lois: Nick, what about parameter names. I've seen them in uppercase…title case…does that matter?  Nick: GoldenGate has a lot of parameters. This is something you'll see all over the place within GoldenGate itself.  These parameters are in your Extract and Replicat parameter files during your distribution path parameter files. Parameters for GoldenGate are case insensitive.  Within your own environments, you can set it up to have lowercase, mixed case, whatever you want, but just be aware that they are case insensitive. GoldenGate doesn't care, it's just for readability. And then we also have something called trail files. Trail files is where GoldenGate stores all the data before we're able to apply it into that target system. Think about it as our queuing mechanism, and we're queuing everything outside the database so that we're not overloading those database environments. And that's some of the terminology for the product itself. We also have microservices within GoldenGate. 03:31 Nikita: And at the heart of everything is the Service Manager, right? Talk to us about what it is and what it does. Nick: The service manager is responsible for making sure that everything else is up and running. If you are familiar with GoldenGate classic architecture, this is kind of similar to a GoldenGate manager where that process was there to make sure that processes were running the trail files, or excuse me, that certain error logs were getting written out. If a process went down, the manager would restart that process. The service manager is performing a lot of those same functions. Now attached to the service manager, we have our configuration service. This is new in GoldenGate 23ai. This configuration service is going to allow you to set up GoldenGate for highly available environments. So you can build HA into GoldenGate itself using the configuration service. 04:22 Lois: And what does this configuration service do? Nick: This configuration service essentially moves the checkpoint files that used to be on disk into a database so that everything can be stored inside of a database.  Also attached to the service manager, we have the performance metric service. This is a service that is going to be gathering all the performance metrics of GoldenGate. So it's going to tell you how fast things are going, what the latencies are, how many bytes per second we're reading from, the transaction logs or writing to our trail files. How quickly a distribution path is sending data across a network. If you want to know any of your lag information, you'll get it from the performance metrics server. We also have the receiver service and the distribution service. These two work hand in hand to establish network communication between two GoldenGate environments. So on what we call our source system, we have a distribution service that's going to send the data to our target system. On the target system, a receiver service is going to receive that data and then rewrite the trail files. We also have the administration service that's responsible for authentication and authorization of the users, as well as making sure that people have access to the right information. 05:33 Nikita: Ok. Moving on the deployment, how is GoldenGate actually deployed, Nick? Nick: GoldenGate is kinda nice. So the way that the product is installed is you install the GoldenGate environment and that's what we call our service manager deployment under a specific GoldenGate home. So the software binaries themselves get installed under a home, we'll say U01/OGG23AI. Now once I've installed GoldenGate once, that's my OGG home. I can now have any number of service managers and deployments tied to that same home.  06:11 Lois: Ok, let's work with an example to make this simpler. Let's say I've got a service manager that's going be responsible for three different deployments: Accounting, Finance, and Sales. Nick: Each of these deployments is going to reside in its own directory. Each of these deployments is going to have its own set of microservices. And so this also means that each of these deployments can have their own set of users. So the people that access the GoldenGate accounting deployment can be different than the ones that access the sales deployment. This means with this distribution of roles that I can have somebody come in and administer the sales database, but they wouldn't have any information or any access to accounting or finance. And this is very important, it allows you to really pull that information apart and separate it. Each of these environments also has their own set of parameter files, Extract process, Replicat process, distribution services, and everything. So it's a very nice way of splitting things up, but all having them tied to the same GoldenGate home system. And this home is very important. So I can take a deployment, let's say my finance deployment, and if I want to move it to a new GoldenGate home and that GoldenGate home is a different version, like let's say that my original home is 23.4, my new GoldenGate home is 23.7, I simply stop that GoldenGate deployment. I stopped at a finance deployment. I changed its OGG home from 23.4 to 23.7. I restart the deployment, that deployment is automatically upgraded to the new environment and attached to the new system. So it makes upgrading very, very simple, very easy, very elegant. 07:53 Nikita: Ok. So, we've spoken about the services…some of the terminology. Let's get into the architecture next. Nick: So when we talk about the architecture for GoldenGate, we used to have two different architectures. We had a classic architecture and a microservices architecture. Classic architecture was something that's been around since the very beginning of GoldenGate in the late '90s. We announced that, that architecture was deprecated in 19c. And Oracle deprecated means that feature is no longer going to be enhanced and it'll be patched selectively. And at some point in the future, it'll be entirely desupported. Well, GoldenGate 23ai is that future. And so in 23ai, the classic architecture is desupported, that means that it's no longer in the build at all. And so it's just microservices architecture. 08:41 Lois: Is there a tool to assist with this migration?  Nick: We do have a migration utility that will convert an old classic architecture into the new microservices architecture. But there is quite a bit of learning curve to the new microservices architecture. So it's important that we go through how it works in the changes. 09:04 Are you looking to optimize your implementation strategies and improve efficiency? We have a solution for you! Our new Oracle Fusion Cloud Applications Foundations training and certification program. You'll learn to leverage Oracle Modern Best Practice (OMBP) to re-imagine business processes using advanced technologies in Oracle Fusion Cloud Applications such as AI, mobile, analytics, and more. Visit mylearn.oracle.com to get started today.  09:37 Nikita: Welcome back! Nick, what are the benefits of this microservices architecture?  Nick: It's got that simplified lifecycle for patching and upgrading. A lot of the GoldenGate patches that you get, especially these bundle patches, are complete installs as well. So you can go into My Oracle Support and download a complete install of a patch and that way, you don't have to use old patch to apply them. The only time you'll be using old patch is for one-off patches or smaller patches that need to be applied to your GoldenGate system. The microservices product has the same trusted Capture and Apply process that Classic did. There's almost no changes between the two except on how they communicate with their parent processes. And so the same logic that you use to pull data from Oracle or to apply data into Oracle is all the same. 10:25 Lois: And has the interface been upgraded as well? Nick: We've added a really nice, easy to use web interface for the microservices version of GoldenGate. Not only is this web interface work with all your standard browsers, but it's also mobile friendly too. So I can actually control and administer GoldenGate right through my mobile device. It also has new secure remote administration. This is something that the classic architecture was really missing. And so in the classic architecture, to use the command line interface, you had to log into the database server where GoldenGate was installed. Now, the command line interface, as well as the web interface and the REST API, all use remote administration and authentication. So that means that I can install the new command line interface or what we call admin client on my laptop locally and I can connect to any GoldenGate deployment as long as I have the username and password for that deployment. It's also more secure. GoldenGate microservices can also be deployed on premise or in OCI as a service and now also on these third-party clouds like Azure and Google Cloud. And it's also easier for developers to integrate in with the APIs themselves. Everything that GoldenGate does through the admin client as well as the web UI can all be traced. The REST API calls for GoldenGate are all fully published so you can get them right directly from the documentation, you can build your own web interface if you want to. So it makes it very easy. The REST APIs are also streamlined. With a single REST API call, I can do something like add an Extract process, create it, set up my parameter file, and set up the trail files all with a single API command. Whereas in the past, it would require multiple command line interface commands to do that same thing. So it's extremely elegant, very advanced. 12:16 Nikita: What does the microservices architecture look like? I know it's a bit complicated when we're not actually looking at a diagram of it, but just a high level, can you explain the different parts of it? Nick: It's pretty straightforward. But essentially what you've got on each system is a service manager. That service manager is then going to have a number of processes or services beneath it. It'll have the configuration service that stores the checkpoint information for GoldenGate. It'll have the administrative service for the authentication and users, the distribution service to send the data across a network, a receiver service to receive that information, performance metrics to get the performance statistics out of GoldenGate. And then of course, you also have your Extracts and Replicats that capture and apply technology. Each of those Extracts and Replicats will then connect to a database on the Extract side of things. That Extract is going to write to trail files. Those trail files are then going to be sent across the network where they're rebuilt on the target system and the Replicat's going to consume them and apply them into the target database. So the Replicat behaves almost like an end user. So it's taking that trail file data and simply converting it to DML operations, insert, update, delete, or a DDL operation in the case of Oracle, alter table, create table, et cetera, to go into that target database.   13:39 Lois: To look at a diagram of this architecture and learn about it in more detail, check out the Oracle GoldenGate 23ai Fundamentals course on mylearn.oracle.com. So, Nick, if I'm looking to deploy GoldenGate, what should I primarily keep in mind? Nick: So as you go to install GoldenGate and you look at a deployment, there's a couple of important environment variables that you want to make sure you're aware of. So one of the first ones is your OGG_Home. This environment variable is extremely important. This is the location of the GoldenGate software itself. And I want to stress how important it is to always use version numbers when you're setting up your GoldenGate home. When you go to install the software, if you're installing GoldenGate 23.5, use 23.5 within the home directory structure. If you're installing GoldenGate 23.7, use 23.7 inside that directory structure. 14:33 Nikita: Right… that way I'll always know which versions are which, and it'll make it really easy to upgrade and move from one version to the next. Ok, got it. What else, Nick? Nick: There's a couple other important directories. You have your OGG_ETC_HOME. This is where things like the configuration files are going to reside, parameter files, all your certificates for security, including the wallets where we store the credentials for not only the database accounts, but also for the GoldenGate user accounts as well. We have our GoldenGate variable home directory or VAR home. This is where all the GoldenGate log files are residing. And these are the log files that allow you to see what's going on in GoldenGate for auditing purposes. Anytime anybody makes a change to GoldenGate, you're going to see information go into the log files on what was happening and how it was working and what they did, what time they did, what command they issued. Another big important feature about these log files is it also gives you error information and troubleshooting details. So if you ever need to find out what happened in GoldenGate, what went wrong, you would look at these log files to find out that information. And then you also have your OGG_DATA_HOME. This is where those trail files are going to go. Essentially, this is kind of the queuing or overflow for GoldenGate. There's a couple of other additional components. We've got the admin client. This is our command line utility. If you don't want to use a web browser or prefer a command line utility, you can use the admin client. The admin client is also fully scriptable. So if you wanted to write scripts that would go off and automate things in GoldenGate, you can do that. A lot of customers did that with GGSCI in the classic architecture. You can do the same thing now with the admin client. The other component is the microservices security authentication and authorization services. These handle communication security, especially making sure that any passwords or usernames and everything like that is all encrypted. And instead of using an actual username and password, everything through the product is going to be done through an alias. And then it also handles all the authorization authentication, permissions, user accountability, and roles within GoldenGate. 16:39 Lois: Anything else you'd like to talk about before we wrap up for today, Nick? Nick: I also wanted to take a minute to talk about the REST API. All the microservices provide REST APIs to administer them and all of these are fully documented. They can be used by any client that can make REST API calls. So if you wanted to use Python, cURL, a web browser, you can do that as well. They're all just HTTP or HTTPS calls, get, put, patch, the standard REST API standards. And then GoldenGate does provide our admin client as well as a WebUI that use these REST APIs under the covers if you ever wanted to get a more advanced look at how it works. 17:18 Nikita: Well, that's all the time we have for today. Thanks for joining us, Nick.  Lois: Yes, thanks Nick. We look forward to having you back next week to talk with us about security strategies and data recovery. Nikita: And if you want to learn more about the topics we discussed today, head over to mylearn.oracle.com and take a look at the Oracle GoldenGate 23ai Fundamentals course. Until next time, this is Nikita Abraham… Lois: And Lois Houston, signing off!  17:43 That's all for this episode of the Oracle University Podcast. If you enjoyed listening, please click Subscribe to get all the latest episodes. We'd also love it if you would take a moment to rate and review us on your podcast app. See you again on the next episode of the Oracle University Podcast.

HighlightsGoogle Cloud's AI Revolution and Customer Success (00:10)Renner talks about how, for Google Cloud, delivering great outcomes for customers must come before achieving returns. Efforts are underway to push brainpower and expertise directly to customers, while simplifying the sales process by infusing more industry-specific knowledge. Customers are focused on realizing tangible business outcomes with AI.Google Cloud's Ecosystem and Partner Ecosystem (02:02)Google Cloud is the fastest-growing company in the Cloud Wars, achieving $12 billion in revenue last quarter. A sharp focus on business outcomes, paired with a robust ecosystem of expertise, is credited for this success. Renner discusses Google Cloud's partner ecosystem development under Kevin Ichhpurani, president, global partner ecosystem. Growth across the partner ecosystem, including SIs, ISVs, and boutique functional experts, remains a key driver of momentum.Customer Success and Innovation at Google Cloud Next (03:46)Innovation and customer success were on full display at Google Cloud Next in Las Vegas, with major product launches and enthusiastic customer testimonials. Marking his two-year anniversary, Renner reflects on how AI has accelerated customer success' evolution. The volume of customer stories and advocacy is proof of exceptionally high engagement. Many customers have already moved beyond experimentation into full production.Customer Mindset and Business Outcomes (06:09)Today's customers are reimagining what's possible through AI, marking a profound shift in mindset. Renner talks about the eagerness and commitment of Google's engineering and consulting teams to work side-by-side with customers. As customers become more sophisticated, they are increasingly focused on identifying business impact and making strategic investments. A collaborative and creative problem-solving approach is central to how Google Cloud delivers value.Budget Shifts and Business Engagement (07:37)AI adoption is driving a major shift in spending away from traditional IT control toward broader enterprise engagement. Renner notes that while business engagement has always been important, AI has accelerated the breakdown of old barriers across industries. Teams are approaching go-to-market strategies more mindfully. Verticalization and deep industry focus have become essential in driving business outcomes.Ecosystem Growth and Customer Demand (11:17)Google Cloud's ecosystem continues to expand, with ISVs and SIs playing an increasingly critical role. Renner points to partnerships with Salesforce, ServiceNow, and others as key to expanding Google Cloud's reach, building credibility, and scaling to meet growing customer demand. The expansion of regional SIs is equally important, ensuring global customer needs are met effectively.Google Cloud's Growth and Market Position (13:23)Renner attributes Google Cloud's leadership as the fastest-growing company in the Cloud Wars to its focus on customer business outcomes. This strategy has fueled new customer acquisition, a growing sales backlog, and sustained high demand. AI is transforming how Google Cloud engages with customers, driving growth across every product line and deepening its market position.Leadership and Team Enabling (15:35)Under the leadership of CEO Thomas Kurian, Google Cloud has made extraordinary strides in customer success and growth. Renner praises Kurian's passion, energy, and clarity of vision. A major focus remains on providing field teams with the right assets, tools, and alignment to be successful. The addition of new talent to oversee the customer experience journey, reflects Google Cloud's commitment to strengthening its leadership bench.Final Thoughts and Future Plans (18:32)Renner shares his appreciation for the opportunity to reflect on Google Cloud's strategic focus and achievements. The interview closes with a reaffirmation of the AI revolution's significance and Google Cloud's central role in shaping the future of business innovation. The outlook is positive.Google Cloud's central role in shaping the future of business innovation. The outlook is positive. This episode is sponsored by Google Cloud.---The content displayed on the platform is the intellectual property of Acceleration Economy. You may reuse, republish, or reprint such content with attribution: Content by cloudwars.comAll information posted is informational purposes. Should you decide to act upon any information on this website, you do so at your own risk. While the information on this platform has been verified to the best of our abilities, we cannot guarantee that there are no mistakes or errors.We reserve the right to change this policy at any given time.  

Fortinet ON AIR is a video podcast series recorded live at Mobile World Congress 2025 in Barcelona, featuring expert voices from across the telecommunications ecosystem. Hear from leaders at Accenture, NEC, Orange Cyberdefense, Cirion Technologies, and Google Cloud as they tackle the biggest challenges facing telcos—from AI-powered attacks and SecOps complexity to securing cloud infrastructure and building a security-first mindset. Tune in and stay ahead of the threat curve. Learn more about Fortinet: https://www.fortinet.com/ Read our blog: https://www.fortinet.com/blog Follow us on LinkedIn: https://www.linkedin.com/company/fortinet/posts/?feedView=all&viewAsMember=true

Fortinet ON AIR is a video podcast series recorded live at Mobile World Congress 2025 in Barcelona, featuring expert voices from across the telecommunications ecosystem. In each episode, we dive into the evolving cybersecurity landscape—exploring how telcos and service providers can stay secure, resilient, and competitive in a fast-changing digital world. In this episode, host Ronen Shpirer speaks with Muninder Singh Sambi from Google Cloud to explore how AI and GenAI are reshaping both sides of the cybersecurity battlefield. From threat detection to prompt injection risks, learn how telcos and enterprises can leverage AI to protect their infrastructure—while staying one step ahead of attackers. Whether you're a security decision-maker or business leader, Fortinet ON AIR brings you frontline perspectives on protecting critical infrastructure, building digital trust, and unlocking innovation—securely. Learn more about Fortinet: https://www.fortinet.com/ Read our blog: https://www.fortinet.com/blog Follow us on LinkedIn: https://www.linkedin.com/company/fortinet/posts/?feedView=all&viewAsMember=true

At Google Cloud Next, Bobby Allen, Group Product Manager for Google Kubernetes Engine (GKE), emphasized GKE's foundational role in supporting AI platforms. While AI dominates current tech conversations, Allen highlighted that cloud-native infrastructure like Kubernetes is what enables AI workloads to function efficiently. GKE powers key Google services like Vertex AI and is trusted by organizations including DeepMind, gaming companies, and healthcare providers for AI model training and inference. Allen explained that GKE offers scalability, elasticity, and support for AI-specific hardware like GPUs and TPUs, making it ideal for modern workloads. He noted that Kubernetes was built with capabilities—like high availability and secure orchestration—that are now essential for AI deployment. Looking forward, GKE aims to evolve into a model router, allowing developers to access the right AI model based on function, not vendor, streamlining the development experience. Allen described GKE as offering maximum control with minimal technical debt, future-proofed by Google's continued investment in open source and scalable architecture.Learn more from The New Stack about the latest insights with Google Cloud: Google Kubernetes Engine Customized for Faster AI WorkKubeCon Europe: How Google Will Evolve Kubernetes in the AI EraApache Ray Finds a Home on the Google Kubernetes EngineJoin our community of newsletter subscribers to stay on top of the news and at the top of your game. 

The U.S. job market shows resilience with the addition of 177,000 payrolls in April, despite a slight decline in IT roles as tech professionals exit the field. The unemployment rate remains low at 4.2 percent, but the IT sector has seen significant job losses, with over 10,600 positions cut in April alone. This trend is attributed to a cautious hiring environment influenced by increasing automation and economic policies, leading many IT professionals to leave the sector altogether. While demand for artificial intelligence roles is surging, the overall tech job market is struggling, raising concerns about the long-term implications of ongoing trade tensions and tariff impacts.Major companies like General Motors and Delta Airlines have withdrawn their financial forecasts, signaling potential freezes in capital and operational spending, including IT initiatives. This shift in economic sentiment is prompting clients to focus on resilience and efficiency, leading IT service providers to rethink their offerings. Instead of traditional services, there is a growing need for solutions that address risk management and operational impacts. IT services firms are encouraged to deepen their understanding of client businesses and tailor their services accordingly to become trusted partners.Earnings reports from tech giants such as Amazon, Microsoft, and Meta indicate a continued investment in data centers and AI infrastructure, despite rising costs due to tariffs. Microsoft reported a significant increase in capital expenditure and cloud revenue, while Google Cloud also experienced substantial growth. However, companies like IBM and Intel are facing challenges, with declining stock prices and weak forecasts. The overall landscape suggests that while hyperscalers are investing heavily, the economic conditions are creating a complex environment for IT service providers.The Global Technology Industry Association has appointed Dan Wensley as its new CEO, a move seen as strategic for the organization as it seeks to innovate and expand its service offerings. Wensley's extensive experience in the managed services space positions him well to address the needs of IT service providers. However, there are concerns that the association must avoid becoming merely a platform for vendor messaging and instead focus on delivering unique value to the industry. The challenges ahead will require tangible wins to build trust and relevance among smaller and mid-sized IT service firms. Four things to know today 00:00 U.S. Adds Jobs in April, But IT Sector Shrinks as Tariff Pressure and Automation Reshape Hiring05:16 Big Tech Earnings Show AI Spend Is Surging—But Tariffs and Cost Pressures Loom10:20 Tariffs Reshape Tech Landscape: Cloud Thrives While SMBs and Traditional IT Struggle13:13 New GTIA CEO Dan Wensley Has a Big Job: Make It Matter  Supported by: https://cometbackup.com/?utm_source=mspradio&utm_medium=podcast&utm_campaign=sponsorship https://www.huntress.com/mspradio/ All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech

Our conversation focuses on how retailers can accelerate their innovation and technology adoption to enhance customer lifetime value. It emphasizes the importance of benchmarking as a tool for retailers to understand their position in the market and to find inspiration from peers who are successfully leveraging technology.TakeawaysWe're trying to help retailers accelerate and innovate.Benchmark gives perspective on utilizing technology.Retailers are improving customer lifetime value.There are retailers leap-frogging in innovation.The benchmark provides a roadmap for retailers.You are not alone in your journey.Look at the report for insights.Utilizing technology at scale is essential.There are things you can do to improve.Retailers can learn from others' successes.Chapters00:00Introduction to Unified Commerce24:14The Importance of Unified Commerce Benchmarking27:26Consumer Behavior and Technology Integration30:19Empowering Retail Associates with Technology33:18The Role of AI in Retail36:25Future Trends in Retail Technology39:22Conclusion and Resources for Retailers

Barbara Paldus je investorka, podnikatelka a vědkyně s českými kořeny. Probereme její cestu od vyrůstání v Kanadě až po její dlouhodobý pobyt v USA, kde od základů vybudovala několik biotechnologických společností. Jedna z jejích firem se zabývá výrobou vakcín na nemoci jako Ebola a COVID-19. Aktuálně se soustředí na dermatologii a řešení kožních problémů prostřednictvím studia mikrobiomu a systémů lidského těla. Diskuse se také dotýká jejích osobních zkušeností, včetně synovy cesty s ADHD, a širších dopadů vědeckého výzkumu a inovací. Barbara sdílí své pohledy na budoucnost medicíny, důležitost propojení vědy a byznysu a výzvy a odměny podnikání.

In this episode of AI Basics, Jason sits down with Amin Vahdat, VP of ML at Google Cloud, to unpack the mind-blowing infrastructure behind modern AI. They dive into how Google's TPUs power massive queries, why 2025 is the “Year of Inference,” and how startups can now build what once felt impossible. From real-time agents to exponential speed gains, this is a look inside the AI engine that's rewriting the future.*Timestamps:(0:00) Jason introduces today's guest Amin Vahdat(3:18) Data movement implications for founders and historical bandwidth perspective(5:29) The shift to inference and AI infrastructure trends in startups and enterprises(8:40) Evolution of productivity and potential of low-code/no-code development(11:20) AI infrastructure pricing, cost efficiency, and historical innovation(17:53) Google's TPU technology and infrastructure scale(23:21) Building AI agents for startup evaluation and supervised associate agents(26:08) Documenting decisions for AI learning and early AI agent development*Uncover more valuable insights from AI leaders in Google Cloud's 'Future of AI: Perspectives for Startups' report. Discover what 23 AI industry leaders think about the future of AI—and how it impacts your business. Read their perspectives here: https://goo.gle/futureofai*Check out all of the Startup Basics episodes here: https://thisweekinstartups.com/basicsCheck out Google Cloud: https://cloud.google.com/*Follow Amin:LinkedIn: https://www.linkedin.com/in/vahdat/?trk=public_post_feed-actor-name*Follow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanis*Follow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.com

Since last year, Google has had 40x growth in Gemini use on its Vertex AI platform, highlighting the pace of demand in AI, says Will Grannis, chief technology officer of Google Cloud. In this episode of Tech Disruptors, Grannis sits down with Bloomberg Intelligence senior analyst Mandeep Singh to talk about the variety of use cases with large-language-model deployments. They discuss the company's Ironwood TPU launch to give an end-to-end stack perspective around inferencing workloads, and what it means for cloud demand.

At Google Cloud Next 2025, Google Cloud Vice President of Applied AI Duncan Lennox sits down with Bob Evans in part three of our series "Google Cloud and the AI Revolution." They discuss how Google Cloud is redefining enterprise applications through purpose-built AI agents, the shift from incremental to transformational innovation, and how businesses can harness agentic AI to deliver seamless, end-to-end customer experiences at scale.Google Cloud's Agentic RevolutionThe Big Themes:Beyond Infrastructure to Applied AI: Historically, Google Cloud was associated with infrastructure, data analytics, databases, and backend technologies. However, it's now undergoing a transformation, stepping boldly into the realm of applied AI. Rather than just competing with established players in enterprise applications (like ERP, HCM, or CRM), Google Cloud is innovating at a more foundational level by creating entirely new types of agents and applications.The Customer Engagement Suite, A CRM Rethink: Google Cloud's Customer Engagement Suite isn't just an upgrade to traditional contact center software — it's a full reimagining of how businesses engage with customers. Historically, customer service was seen as a cost center: something to be optimized for efficiency and minimized wherever possible. Google Cloud flips that on its head. With the Customer Engagement Suite, the focus shifts toward creating differentiated, high-quality customer experiences that build brand loyalty, satisfaction, and even new revenue streams.Best Adoption Practices: Lennox discusses several best practices for companies looking to succeed with applied AI. First, start somewhere tangible — don't try to "boil the ocean." Select a high-visibility area where AI can solve real problems and produce measurable results. Second, tie your efforts directly to business outcomes, such as customer experience improvements, revenue growth, or operational savings. Third, choose a strategic partner capable of evolving with you as the technology advances.The Big Quote: "Experimentation is great, of course, but what I see more and more as I talk to C-level executives is they now want to be able to deliver ROI, and you have to make some bets. You've got to choose some areas. For us in applied AI, Customer Engagement Suite has been a great one, because it's a problem that C-level execs can understand."Learn More:Check out details about Customer Engagement Suite, and follow Duncan Lennox on LinkedIn.

Episode SummaryIn this special in-person episode of OnBase, host Chris Moody joins Davis Potter live from Austin, Texas, for a candid deep-dive into the evolution of account-based marketing. Davis draws on his experience across enterprise giants and nimble startups to unpack the real differences between demand gen and ABM—and why most companies are stuck in the middle.Together, they dissect the pitfalls of outdated ABM models, the importance of unifying go-to-market teams, and the need for signal-based measurement over legacy lead scoring. Davis explains the “account-based arrow,” ForgeX's new data model, and shares practical tips for aligning product marketing with ABM functions for retention and growth. Whether you're a team of one or leading a global strategy, this episode is packed with insights you can act on immediately.Key TakeawaysABM vs. Demand Gen: True ABM is more than just targeted demand generation; it requires a unified approach across sales and marketing.  Strategic ABM Implementation: Organizations should tailor their ABM strategy to their specific needs, considering factors like deal size and resources.  Measurement and Reporting: Effective ABM measurement involves tracking various metrics, including account engagement and pipeline progression, and requires a unified data model.  Cross-Functional Alignment: Alignment between ABM teams and other functions, such as product marketing, is crucial for success.  Evolving ABM: ABM is not static; it requires continuous evolution and adaptation to changing market dynamics and organizational needs.  Quotes“If you're just building lists off third-party intent and running ads, you're not doing ABM—you're just doing better DemandGen.”“Product marketing is not optional in an ABM strategy—it's foundational. They understand the customer better than anyone.”Best Moments 00:09-00:20 – Davis Potter's background and journey to 4Gex.  04:45-05:00 – The importance of aligning go-to-market strategy with business goals.  06:29-07:00 – Transitioning from demand generation to account-based marketing.  10:50-12:00 – The double funnel approach to measuring ABM success.  25:30-26:00 – The challenges of ABM benchmarks and data interpretation.  33:00-34:00 – The critical role of product marketing in ABM. Recommended resources:Newsletter:⁠ABM Tactics LinkedIn newsletter⁠ – Tactical, real-world GTM advice from the trenchesCertifications:⁠New ABM Certification Program⁠ by Demandbase in Partnership with ForgeXB2B Leaders to follow⁠Akriti Gupta⁠, Director of Marketing at LinkedIn  ⁠Désirée Daniels⁠, Retail Industry & ABM Marketing at LinkedInAbout the GuestDavis Potter is the Co-Founder of ForgeX, a firm dedicated to modernizing account-based go-to-market strategies through research-backed insights and scalable methodologies. With experience launching ABM programs at organizations like Google Cloud and Scale AI, Davis brings a rare blend of enterprise sophistication and startup agility. His unique journey—spanning billion-dollar enterprises and high-growth tech companies—has equipped him with a comprehensive view of ABM's past, present, and future.Davis is passionate about aligning sales, marketing, and product teams around unified goals and measurement systems. He frequently speaks on evolving ABM frameworks, first-party data strategies, and the shift from vanity metrics to actionable signals. Davis also co-leads the ForgeX and Demandbase certification program, shaping the next generation of account-based marketers.⁠Connect with Davis⁠.

Erwan Menard is the director of product management for Google Cloud's Cloud AI division, where he helps lead innovation at the intersection of AI agents, enterprise systems, and business outcomes. In part two of our series, Google Cloud and the AI Revolution, Erwan joins Bob Evans to discuss how governance, intentionality, and rapid scaling are critical to AI agent success, share insights on Google Cloud's Agentspace and Agent Builder tools, and explore how multi-agent collaboration is reshaping the future of enterprise technology.Purpose Driven AI InnovationThe Big Themes:Intentionality Drives Impact: Menard advises organizations not to jump into AI agent development for novelty's sake, but to begin with a clearly defined problem and desired business outcome. However, once value is proven, it's crucial to scale intentionally. He shares the example of a customer rolling out 40,000 licenses of Agentspace only after deeply considering what kind of first experience they wanted their employees to have.Organizational Culture Shapes AI Adoption: There's no universal model for who should “own” AI governance. It depends on the company's culture. Some companies may create centralized AI governance teams; others may embed responsibilities within existing business units or IT teams. The key is cultural acknowledgment: governance must be understood as a shared responsibility, not just an operational afterthought.Anchor in Business Value: With so many tools, models, and frameworks emerging, it's easy for companies to fall into what he calls “optionality evaluation.” That is, spending so much time chasing the latest innovations that they lose sight of why they started exploring AI in the first place. Instead, he urges leaders to ask: What are we trying to improve? Whether it's speeding up contract workflows, freeing up data scientists from routine tasks, or enhancing customer service, the goal should be clear.The Big Quote: "If you find yourself in a constant evaluation loop for the new shiny object, maybe it's worth taking a pause and saying, 'Why are we doing this again?'"

Send us a textIn this episode of What's New in Cloud Phenops, Stephen Old and Frank discuss the latest updates in cloud computing, focusing on Azure, Google Cloud, and AWS. They cover the retirement of certain Azure virtual machines, the introduction of serverless GPUs, and the benefits of Amazon Bedrock for cost transparency. The conversation also touches on new features for Azure databases, insights from a Forrester study on Spanner, and the importance of calculating AI costs. Additionally, they discuss licensing changes for Amazon FSX, tiered storage for Spanner, and the deprecation of the AWS connector to Azure. The episode concludes with a look at sustainability efforts and upcoming events in the cloud computing space.takeawaysServerless GPUs enable on-demand AI workloads with automatic scaling.Amazon Bedrock introduces real-time cost transparency for custom models.Physical snapshots for Azure databases enhance backup flexibility.Forrester study shows significant ROI with Spanner.Understanding AI costs on Google Cloud is crucial for budgeting.Amazon FSX for NetApp removes SnapLock licensing fees.Tiered storage for Spanner optimizes cost and performance.AWS connector to Azure is deprecated, focusing on native solutions.Azure OpenAI service offers discounts for provisioned reservations.

Guest post by Brian O' Toole, Consumption and Software Sales Leader at Dell Technologies AI is rapidly reshaping the business landscape, making digital transformation not just a priority but a necessity for Irish organisations. Yet as companies look to harness its potential, they often find themselves navigating increasingly complex IT environments - a challenge that can feel overwhelming for businesses of all sizes. Whether it's navigating cloud migration or staying secure and scaling AI projects or even just managing day-to-day IT workloads with limited resources, there's one thing we keep hearing from businesses and organisations alike is that 'we need to simplify'. At Dell Technologies, we've seen these challenges firsthand - and that's why we're helping organisations embrace technology as-a-Service. Adopting this approach can help simplify operations, modernise IT infrastructure, and give businesses the agility they need to innovate at speed in the AI era. A Fresh Approach to IT Management Today, IT teams face a perfect storm of priorities from business leaders responding to external challenges. These priorities pressure IT leaders to do more with less as they get operations teams to innovate while addressing expanding regulatory frameworks around data. All these pressures and potentially competing priorities increase the risk of IT decision sprawl that could solve problems in one area while adding complexity in others. To help IT and business leaders navigate this environment and shift IT costs from capital expenditure (CapEx) to operational expenditure (OpEx), Dell APEX Cloud Platforms provide integrated infrastructure management that reduces multicloud complexity while strengthening security and governance. APEX is a portfolio of fully integrated, turnkey systems that integrate Dell infrastructure, software and cloud operating stacks to deliver consistent multicloud operations. By extending cloud operating models to on-premises and edge environments, Dell APEX Cloud Platforms bridge the cloud divide by delivering consistent cloud operations everywhere. With Dell APEX Cloud Platforms, you can: Minimize multicloud costs and complexity in the cloud ecosystem of your choice. Increase application value by accelerating productivity with familiar experiences that enable you to develop anywhere and deploy everywhere. Improve security and governance by enforcing consistent cloud ecosystem management from cloud to edge and enhancing control with layered security. The shift to an As-a-Service approach gives businesses control without the chaos. Whether a scaling startup or an established large business planning to advance their Multicloud solutions or leverage AI-driven applications, they can get access to latest technology such as storage, servers, devices and cloud services - on demand with only the cost for what they use. Enabling organisations to innovate in an AI and Multicloud era For organisations, the shift to an as-a-service model is not just about simplifying IT systems, it's about ensuring they can unlock innovation and growth. Businesses can pay for what they use which aligns technology investment to actual value and usage. This approach is especially critical for costly infrastructure such as GPUs, servers, and storage which all require substantial investment. By spreading costs over time, organisations in Ireland can forge a cost-effective pathway to leveraging cutting-edge AI capabilities without being locked into long-term technology commitments. In Ireland, we're seeing a growing appetite for more agile, scalable IT models, especially among businesses embracing AI, hybrid work, and Multicloud strategies. As the debate between public and private clouds are fading, Multicloud ecosystems are the future, and Dell APEX is leading the charge. With partnerships spanning hyper scalers like Microsoft, Red Hat, VMware, and Google Cloud, Dell APEX delivers simplified IT management across environments. Dell APEX innovatio...

What if the key to unlocking peak performance is not pushing harder but mastering the art of mental focus and well-being? I traveled to LA to be at Mastery Labs to unlock the secrets of high performance with Michael Gervais, a renowned expert in mindfulness and psychology. This is our annual Holiday episode of Ultimate Guide to Partnering and my gift to you, our amazing listeners, followers, and community. Michael shares how mental training can revolutionize personal and professional approaches to challenges, from his roots in elite sports to shaping corporate cultures. He explores the pivotal moments that sparked his passion, revealing how psychological skills like confidence and focus can be trained to thrive in any environment. This episode highlights actionable strategies for balancing well-being with ambition, applying insights from sports to business, and using mindfulness to direct focus effectively. With stories ranging from surfing competitions to Microsoft's cultural transformation under Satya Nadella, Michael offers a holistic perspective on performance psychology and sustainable success. Thank you for supporting Ultimate Partner and the Ultimate Guide to Partnering Podcast. Please tell your friends, subscribe, and leave us up to a 5-star Review, as it helps us get more amazing guests.

In this episode, Brian Montes discusses Google's recent earnings report, highlighting significant revenue growth and the impact of AI integration on the company's future. He analyzes the stock's performance, offering insights into potential investment strategies, including swing trading and long-term holding. The conversation also touches on the importance of option flow in understanding market sentiment.Google's quarterly earnings exceeded analysts' expectations.Total revenue increased by 12% year-over-year to $90.2 billion.Net income surged 46% to nearly $35 billion.Google Cloud revenue grew by 28% year over year.YouTube advertising revenue rose 14% year over year.AI integration is essential for Google's long-term success.Gemini, Google's AI tool, is driving growth across products.The stock shows potential for both swing trading and long-term investment.A two-to-one reward-to-risk ratio is achievable with Google stock.Significant options flow indicates strong market interest in Google.YouTube Channel: https://www.youtube.com/@Disciplined_Traders_AcademyQuestions? Email Brian at brian.montes@icloud.comInterested in joining the Disciplined Traders Academy? https://bit.ly/3Mm41N9

Are you throwing money at AI without seeing real returns? You're not alone. Businesses everywhere are struggling to turn their AI investments into actual revenue. But what if I told you that AI agents could become your most profitable team members? The challenge isn't just implementing AI - it's making it pay for itself. Many business leaders are investing in AI agents without a clear path to ROI, leading to frustrated teams and disappointed stakeholders. The reality is, most companies are leaving money on the table because they don't understand how to properly monetize their AI implementations. That's why I'm thrilled to welcome Eva Dong, Lead of AI Monetization at Google Cloud, back to the show. Eva brings over a decade of transformative leadership experience from McKinsey & Co and Visa, where she's helped countless businesses turn AI investments into profit centers. As a former entrepreneur who built a successful direct-to-consumer marketing startup, Eva knows firsthand what it takes to make AI work for your bottom line. Today, she's at the forefront of Google Cloud's AI monetization strategy, helping businesses of all sizes transform their AI agents from cost centers into revenue generators. The AI Hat Podcast host Mike Allton asked Eva Dong about: ✨ Start Small, Scale Smart - Begin with focused AI agent implementations that solve specific revenue-generating problems. ✨ Value-Based Pricing - Structure AI agent pricing around measurable business outcomes rather than usage metrics. ✨ Human-AI Harmony - Success comes from finding the right balance between AI automation and human oversight in your revenue model. Learn more about Eva Dong Connect with Eva Dong on LinkedIn Connect with Eva Dong on X Resources & Brands mentioned in this episode Google Gemini NotebookLM Vertex AI Learn more about Custom GPTs, Gems, and Custom Instructions Christopher Penn on The State of AI around the world World Economic Forum: AI in Action Eva's Smart AI Marketing newsletter AI Primer: A Comprehensive Guide Explore past episodes of the The AI Hat Podcast podcast SHOW TRANSCRIPT & NOTES: https://theaihat.com/google-cloud-expert-reveals-making-ai-agents-work-for-your-bottom-line/ Start your AI journey with the AI Marketing Primer. Brought to you by The AI Hat - Get Your AI On. Interesting in sponsoring an episode? Learn more here. AI Training for Business Leaders & Teams: https://theaihat.com/ai-training-for-business/ Powered by Magai - why choose one AI tool when you can have them all? And Descript, the magic wand for podcasters. Produced and Hosted by Mike Allton, AI Consultant & Trainer at The AI Hat, where he's tirelessly helping businesses and marketers get ahead of the AI Revolution and apply advanced technologies to their roles. He's spent over a decade in digital marketing, bringing an unparalleled level of experience and excitement to the fore, whether he's delivering a presentation or leading a workshop. If you're interested in helping business owners with AI in an upcoming episode, reach out to Mike. Powered by the Marketing Podcast Network. Learn more about your ad choices. Visit megaphone.fm/adchoices

Keith Townsend is "super excited" about the Google Cloud numbers he saw in Alphabet's (GOOGL) latest earnings, calling it the "poster child" and "crown jewel" of the company's business. He sees this aspect of their business feeding into Google's A.I. push, enhancing Gmail and YouTube as well. For other Mag 7 earnings ahead, he is interested to hear from Microsoft (MSFT) and its Azure unit.======== Schwab Network ========Empowering every investor and trader, every market day.Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – / schwabnetwork Follow us on Facebook – / schwabnetwork Follow us on LinkedIn - / schwab-network About Schwab Network - https://schwabnetwork.com/about

Jenny Horne dives into Alphabet (GOOGL) earnings after the tech giant reported an earnings beat and strong growth in its Google Cloud segment. Then, she turns her attention to Intel (INTC) as shares waver after the company's guidance comes in below estimates.======== Schwab Network ========Empowering every investor and trader, every market day.Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

Kevin Green and Jeff Pierce provide live reaction to Alphabet (GOOGL) earnings as shares initially pop higher on a top and bottom line beat. Jeff puts the Google Cloud revenue into perspective as it added nearly $3.5b in Y/Y growth. Kevin examines the company's decision to authorize a buyback up to $70B. Then, the duo dive into Intel (INTC) earnings after the company announced plans to eliminate management layers and cut an unidentified amount of jobs in 2Q. The chipmaker slashed its capex spend under new CEO Lip-Bu Tan and provided lower than expected guidance for its 2Q.======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

At Google Cloud Next 2025, Google Cloud VP and CTO Will Grannis joins Bob Evans to explore how AI is reshaping enterprise technology. Grannis shares how Google Cloud's OCTO team works with customers on complex challenges, using DeepMind research, next-gen TPUs, and AI-native infrastructure, while noting the fading line between B2B and B2C and the cultural changes needed to adapt.Inside Google Cloud's AI Strategy Google Cloud Is AI-Native at Its Core: Grannis says that Google Cloud's approach to AI is foundational. The organization's mindset, shaped by Google's long-standing leadership in AI, infuses every layer of its stack, from infrastructure to user interfaces. With a legacy of deploying machine learning at scale for over a decade, Google Cloud doesn't just offer AI tools—it helps customers reimagine their businesses through AI-native thinking, using products like DeepMind and innovations born across Google's consumer ecosystem.The OCTO Team Solves the Hardest Problems with Customers: Grannis leads the Office of the CTO (OCTO), a team he jokingly calls “the nerdy Navy SEALs.” They tackle highly complex, unsolved customer challenges that can't be addressed by existing products. Rather than building solutions in isolation, they co-create alongside customers. They start with business outcomes and design backward.Multi-Modality and Multi-Agent Systems Are the Future: Looking ahead, Grannis predicts that multi-modal AI, i.e. models that process images, text, speech, and even scent, will become the standard. He also foresees a shift from single-function agents to “agentic workflows” powered by multiple orchestrated AI agents. Google is prototyping orchestration with projects like Astra, that signal a future where AI is not only intelligent but contextually aware and collaborative.The Big Quote: “People . . . spend a lot of time just trying to take a PDF and analyze it. It seems very true. It is a pain . . I think that's one reason why a NotebookLM or a product like that has been so popular because it really attacks like the heart of what people hate doing at work. [AI] puts them in the driver's seat. They can ask questions, they can do analysis.”Learn more:Check out OCTO, NotebookLM, and Google Cloud.

How can technology transform the lives of frontline workers? In this episode of Cloud and Clear, Nikki Harley, VP of Partner Ecosystem and Marketplace at SADA, interviews Catherine Roy, COO of WorkJam, to explore the answer. Discover how WorkJam's digital platform simplifies communication, task management, and shift scheduling for deskless employees. Catherine discusses using AI with Gemini, their partnership with SADA, and building on Google Cloud. Learn about features like Task Connect and AI-powered chatbots that drive efficiency and improve the employee experience. Join us for more content by liking, sharing, and subscribing!

Cloud native patterns and open source developments were on display at the KubeCon + CloudNativeCon Europe conference. The biannual gathering was showing how the container ecosystem continues to mature and analysts Jean Atelsek and William Fellows join host Eric Hanselman to explore their insights. The Cloud Native Computing Foundation (CNCF), part of the Linux Foundation, continues to expand the event and advance the maturity of the open source projects that are part of its purview. Day 2 operations have been gaining focus and the pre-conference FinOps X event was an indication of the emphasis on operational controls as it digs into infrastructure cost management. The opening “Day 0” events at KubeCon, which have been the forum for specialized project meetings, have become a key part of the conference, with over 6,000 attendees, almost half of the reported 13,000 total.  The Kubernetes container management project is now over ten years old and one of the other signs of technology evolution was the integration of the OpenInfra Foundation, which managed the OpenStack project and other infrastructure elements, into the Linux Foundation. Open source projects are gaining wider adoption and one of the messages from projects and vendors at KubeCon, was the hope that it could offer alternatives to enterprise infrastructure stalwart, VMware. The CNCF is expanding its investments in improving security across the projects under its umbrella. There was also continued development of platform engineering initiatives. Bounding the expanding world of open source projects to create consistent development and operational tool chains for enterprise is one more sign of maturity in the container world. More S&P Global Content: AWS, Microsoft Azure and Google Cloud enter the FinOps vortex For S&P Global subscribers: Kubernetes meets the AI moment in Europe with technology, security, investment Data management, GenAI, hybrid cloud are top Kubernetes workloads – Highlights from VotE: DevOps Kubernetes ecosystem tackles new technical and market challenges Kubernetes, serverless adoption evolve with cloud-native maturity – Highlights from VotE: DevOps Credits: Host/Author: Eric Hanselman Guests: Jean Atelsek, William Fellows Producer/Editor: Adam Kovalsky Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith

Show Notes: Chris Freeberg is the co-founder of deck.support, a company that brings some of the best tools for PowerPoint into Google Slides. Chris and cofounder Dimitri Limberopoulos recognized the need for increased functionality in Google Slides as more companies were switching from PowerPoint to Google Slides but wanted a larger variety of tools and functionality for projects. deck.support was launched last month in the Google workspace marketplace as an extension to Google Slides and provides a wide range of  tools to increase creativity and functionality that are available for PowerPoint. deck.support is an affordable and  essential tool for those who prefer working in Google Slides for client or collaboration reasons.     An Introduction to deck.support  deck.support lives within Google Slides and Chris demonstrates how to access the extension. He discusses the use of deck.support which offers various formatting shortcuts and alignment tools. These tools allow users to quickly align images, columns, and objects, and automatically resize them for better alignment.    deck.support Objects and Templates Tutorial Chris explains how to use objects and templates. Objects are text and graphical elements that can be inserted onto a page, such as three-step process wheels or four-step process wheels.  Templates are more elaborate versions of layouts. Templates can include a table of contents, detailed agenda, context, findings, matrix, BFA, call out, box prioritization, traffic light, slide, Harvey Ball, timeline, slide, customer funnels, and more. The founders have tried to replicate the visual languages used in their slides. The collection of templates, key actions, deliverables, and hypotheses is a complete list of 90% of the standard slide designs used in consulting projects. deck.support for Project Goals and Objectives The project also includes charts with more numerous charts to explore the project's goals and objectives. The goal is to provide a more engaging and effective presentation for clients. They have built a roadmap of 10 different chart types to start with, aiming to bring a high level of precision to Google Slides. AI is another feature which allows users to prompt the AI to read a slide and add finishing touches. This is an integration with Open AI, which will look at a slide and add specific notes to the speaker notes at the bottom. The AI suggestions launched at the bottom of the slide include a more action-oriented or informative headline that concisely summarizes the benefits of deck support. deck.support and the Golden Age of Entrepreneurship Chris discusses the importance of remembering who the audience is for a slide presentation to ensure clarity and comprehension. The process of building the tool involved a quick analysis of the potential of Google Slides, and hiring a developer with expertise in Google Apps Scripts. The augmented intelligence provided by AI tools allowed him to understand the process of development and make informed decisions. Chris believes that AI is a gold standard in the field of entrepreneurship, as it provides a demystification of the process, making it easier and more enjoyable for the audience. He also mentions the importance of considering the audience's needs and the potential for advancements in the field. Chris and Dimitri built a roadmap using PowerPoint and AI to understand the purpose of their software. They were guided by 17 years of BCG experience and were familiar with existing tools and their limitations.  Developing, Testing, and Pricing deck.support Chris discusses the development process of their product, which took about six months. The first step was identifying how to communicate what they wanted in terms of tools and functionality, and identifying the limitations of current tools on the market. They used chat GPT to evaluate different jurisdictions for incorporation, such as Delaware, Ireland, Dubai, and Singapore. They landed on Singapore, as it was the best place for two international people selling software. Chat GPT helped them evaluate different options and run simulations of fees, given different revenue levels and currency flows. Each section of the tool became its own block, and they tested each one before launching it in the App Store. They learned that the most valuable aspect of the product was the user-centered approach and understanding how it would be used and integrated into workflows.They currently offer the product for free on the Google workspace marketplace, but the alignment tools will be paid for. The core version of export will have an annual fee of $50 per year, and charts will be an additional feature that people can pay for. The pricing for charts is currently around $300 a year, and efficient elements will be around $100 a year. The overall value of the product is expected to be around $150 a year for charts. AI Tools for PowerPoint The conversation turns to AI tools for PowerPoint and their potential to create specific slides for consultants and professionals. Most people don't want someone to create the entire pitch deck for them, but rather just insert a slide according to their template. Chris believes that AI tools are still a few years away from being able to do this and that the need for AI tools will diminish as knowledge professionals have a better understanding of how to visually bring a presentation to life. He states that AI tools can be useful for high school students and sales professionals, but they may fall short when it comes to the nuance of consulting work. He talks about the limitations of AI models in generating creative campaigns. One of the biggest challenges is their inability to replicate the same character over and over again. AI models today are better at starting from a link sheet and bringing consistency from users on a micro level. The Process of Getting a deck.support into Google App Store Chris shares that getting a product into the Google App Store was painful, as there is a process that requires submission to the Google Workplace Marketplace for approval. This process verifies the app's security, consistency with best practices, and that there is no attempt to steal user information. The challenge was navigating two different teams within Google, all of whom seemed to be based on different sides of the world. The process lasted about six weeks, with cryptic emails asking for approvals and cryptic questions asking for help. Chat GPT helped identify opportunities to fix issues within the Google Cloud console. Security Measures for deck.support When it comes to security, Chris explains that the tool has no ability to see how users use the tool or what buttons they push. Once CRM capabilities are turned on, they capture email addresses and user accounts, but only the slide being viewed is transmitted to Open AI. Open AI returns this information consistent with the Terms of Service. Chris emphasizes the importance of enterprise security, as they have completed an enterprise security assessment for a consulting firm that uses Google Slides. They have documented that there is no image or information capture in the tool, only knowing who a user is, their active account, and the right to press the Layout button.Chris also talks about the use of Google App Script for the Google Slide extension, which ensures compliance with SOC 2 compliance. This means that the tool is not covered by the Google Workplace sandbox, which means it doesn't have to pay $40,000 for its own SOC 2 compliance. Chris explains that the tool lives in the cloud, not on its own. Users can download the tool from the deck.support website. Chris also mentions the limitations of Google Slides extensions, which require users to click on the "Open sidebar" button every time. To fix this, an App Script can be added to Google Slides, allowing users to click on the "Open sidebar" button when opening the slide. The Script can be found in the Extensions menu within Google Slides.  Timestamps: 02:20: Overview of deck.support and Its Features  36:30: Detailed Features of deck.support  36:45: Development and Building of deck.support  36:59: Challenges and Future Plans for deck.support  38:50: User Experience and Availability of deck.support  Links: Website: https://deck.support/ Marketplace Listing for downloads: https://workspace.google.com/marketplace/app/deck.support_pro_tools_for_google_slides/128114120858 Unleashed is produced by Umbrex, which has a mission of connecting independent management consultants with one another, creating opportunities for members to meet, build relationships, and share lessons learned. Learn more at www.umbrex.com.  

Drop 1: Circle Refundhttps://www.circle.com/blog/refund-protocol-non-custodial-dispute-resolution-for-stablecoin-paymentsDrop 2: Dfns multichain wallets https://www.dfns.co/article/introducing-multichain-walletsDrop 3: BIS paper - Cryptocurrencies and decentralised finance: functions and financial stability implicationshttps://www.bis.org/publ/bppdf/bispap156.pdfMore: Kinexys by JP Morgan adds GBP to its payments network https://www.bloomberg.com/news/articles/2025-04-14/jpmorgan-s-blockchain-payments-network-adds-support-for-poundBank of England explores challenges of offline CBDChttps://www.ledgerinsights.com/38073-2/Kiln announces partnership with Google Cloud for node infrastructurehttps://cloud.google.com/customers/kiln?hl=enUnderstanding crypto mixers, with Carol Nuneshttps://crypto-mixer-tool.replit.app/Cardano Foundation parterns with PUC-RJ, focus on R&D for the energy sector https://br.cointelegraph.com/news/exclusive-cardano-foundation-enters-into-unprecedented-partnership-with-puc-rioFenasbac LIFT Day Apr 30https://lu.ma/liftday?coupon=5O6%40MHFavikon Fintech Rankinghttps://www.linkedin.com/posts/antonymartini_top-100-most-influential-in-fintech-on-linkedin-activity-7316855676004167682-JJUc. Redes sociais / comms.. https://blockdropspodcast.xyz/.. Instagram.com/blockdropspodcast.. Twitter.com/blockdropspod.. Blockdrops.lens .. https://warpcast.com/mauriciomagaldi.. youtube.com/@BlockDropsPodcast.. Meu conteúdo em inglês twitter.com/0xmauricio.. Newsletter do linkedin https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7056680685142454272.. blockdropspodcast@gmail.com

Drop 1: Circle Refundhttps://www.circle.com/blog/refund-protocol-non-custodial-dispute-resolution-for-stablecoin-paymentsDrop 2: Dfns multichain wallets https://www.dfns.co/article/introducing-multichain-walletsDrop 3: BIS paper - Cryptocurrencies and decentralised finance: functions and financial stability implicationshttps://www.bis.org/publ/bppdf/bispap156.pdfMore: Kinexys by JP Morgan adds GBP to its payments network https://www.bloomberg.com/news/articles/2025-04-14/jpmorgan-s-blockchain-payments-network-adds-support-for-poundBank of England explores challenges of offline CBDChttps://www.ledgerinsights.com/38073-2/Kiln announces partnership with Google Cloud for node infrastructurehttps://cloud.google.com/customers/kiln?hl=enUnderstanding crypto mixers, with Carol Nuneshttps://crypto-mixer-tool.replit.app/Cardano Foundation parterns with PUC-RJ, focus on R&D for the energy sector https://br.cointelegraph.com/news/exclusive-cardano-foundation-enters-into-unprecedented-partnership-with-puc-rioFenasbac LIFT Day Apr 30https://lu.ma/liftday?coupon=5O6%40MHFavikon Fintech Rankinghttps://www.linkedin.com/posts/antonymartini_top-100-most-influential-in-fintech-on-linkedin-activity-7316855676004167682-JJUc. Redes sociais / comms.. https://blockdropspodcast.xyz/.. Instagram.com/blockdropspodcast.. Twitter.com/blockdropspod.. Blockdrops.lens .. https://warpcast.com/mauriciomagaldi.. youtube.com/@BlockDropsPodcast.. Meu conteúdo em inglês twitter.com/0xmauricio.. Newsletter do linkedin https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7056680685142454272.. blockdropspodcast@gmail.com

In this episode of AI Basics, Jason sits down with CapitalG partner Jill Chase to break down how AI is reshaping the startup ecosystem — from founders to investors to incumbents. They cover how CapitalG (Alphabet's independent growth fund) thinks about the AI stack, why speed alone isn't enough for startups today, and how to build durable advantages in a world where anyone can copy your product. Jill shares insights from portfolio companies like Motif (next-gen CAD for architecture) and Abridge (AI-powered doctor's scribe), plus how startups can use AI “in the business” (product) and “on the business” (ops, GTM, etc). They also explore the transition from copilots to agents — and what that means for the next wave of software. If you're building or investing in AI, this is a must-watch.*Timestamps:(0:00) Jason kicks off the show(1:10) CapitalG's investment strategy in AI(3:04) Understanding value in AI investments(5:16) Durability in AI startups and market challenges(10:18) Practical applications of AI in business(17:52) Case studies of successful AI startups(21:35) Building massive businesses with small teams(23:55) Evolution from AI copilots to autonomous agents*Uncover more valuable insights from AI leaders in Google Cloud's 'Future of AI: Perspectives for Startups' report. Discover what 23 AI industry leaders think about the future of AI—and how it impacts your business. Read their perspectives here: https://goo.gle/futureofai*Check out all of the Startup Basics episodes here: https://thisweekinstartups.com/basicsCheck out Google Cloud: https://cloud.google.com/Check out CapitalG: https://www.capitalg.com/*Follow Jill:LinkedIn: https://www.linkedin.com/in/jill-greenberg-chase-53747538/X: https://x.com/jillchase124*Follow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanis*Follow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.com

Send us a textWe attend the opener of the Google Cloud Next conference at Sphere. We got a preview of the The Wizard of Oz film they are creating for the venue. It debuts in late August. We were blown away! This will use AI to extend the frame and bring the original 1939 film to life. We take a deep dive and fill you in. We know a lot of you are looking forward to this. We also remember Las Vegas icon, Elaine Wynn. She passed away on April 15th. She was a monumental part of Las Vegas' transformation and a philanthropist. We saw her at The Mirage closing. We also check out The Patio at M Resort and loved it!! More people need to know about this spot. And, Immersive Van Gogh gets a new version. This is located inside the Shops at Crystals. If your home was damaged in the California wildfires, Galindo Law may be able to help you get more compensation. Call 1-800-251-1533 or visit galindolaw.com If your Texas home was damaged by hail or a hurricane in the past 2-years, Galindo Law may be able to help you get more insurance compensation. Call 1-800-251-1533. Or, visit GalindoLaw.com VegasNearMe AppIf it's fun to do or see, it's on VegasNearMe. The only app you'll need to navigate Las Vegas. Support the showFollow us on Instagram: @vegas.revealedFollow us on Twitter: @vegasrevealedFollow us on TikTok: @vegas.revealedWebsite: Vegas-Revealed.com

In this Telemetry News Now episode, Phil Gervasi and Justin Ryburn break down OpenAI's release of GPT 4.1 and its real-world use cases, major Google Cloud partnerships with Cisco and Juniper, Broadcom's predictive security feature, Amazon's Project Kuiper, and shifting global dynamics in chip manufacturing.

Kareem Elgendy is the Chief Executive Officer of Veiled, an eight-figure fashion brand for Muslim women. Under his leadership, Veiled has achieved impressive growth, with consistent revenue increases and a strong emphasis on analytics to optimize the company's ecommerce strategy. Kareem previously served as a Senior Marketing Strategist at Baked Bouquet and held project management roles at Frank Seta & Associates. His multifaceted background, including roles as a sustainability expert, software engineer, and unit manager in banking, adds a unique perspective to his approach in the fashion industry.   In this episode… Ecommerce founders often face mounting pressure to make quick decisions without clear data, leading to stalled growth and missed opportunities. From inconsistent revenues to underperforming SKUs, using analytics to guide merchandising and marketing plans can make a huge impact on profitability. What if you could cut through the noise and confidently steer your brand using data-driven insights tailored to your business? Kareem Elgendy, an expert in ecommerce analytics and merchandising, shares how a strategic focus on data dashboards and inventory insights has helped his brand grow consistently — surpassing 70% year-over-year growth. Kareem emphasizes the importance of understanding every metric inside and out, using internal scripts, Google Cloud tools, and custom dashboards to analyze traffic, stock velocity, and product demand. He outlines a practical merchandising framework that breaks down collections by category, style, color, and size, ensuring supply aligns with proven demand. Kareem's approach emphasizes the importance of founders remaining curious and optimistic about what their numbers reveal. In this episode of the Minds of Ecommerce podcast, Raphael Paulin-Daigle interviews Kareem Elgendy, CEO of Veiled, about leveraging analytics to drive fashion ecommerce growth. Kareem shares how data-informed merchandising decisions lead to more consistent revenue and dives into daily performance tracking, marketing efficiency, and forecasting demand using internal algorithms.

Speciální epizoda Proti Proudu s hosty - Jakub Vejmola (aka Kicom), Jakub Jedlinský a Petr Lukáč pro všechny, kteří po očku sledují kryptoměny a chtějí pochopit, jak to s nimi vlastně dnes je. Má ještě smysl investovat do Bitcoinu? A co Ethereum, Trump coin nebo Unicorn Fart Dust coin? Splnil Bitcoin sen o nezávislých penězích a alternativním finančním systému nebo se jeho stal součástí? A děje se v krypto světě ještě něco zajímavého kromě podvodů?   Partnery podcastu jsou XTB –Investujte vlastní cestou s nulovými poplatky! Tento propagační materiál vznikl ve spolupráci s XTB. Propagační materiál je videu uveden v čase od 19:15 do 20:55. Uvedená marketingová spolupráce je spojena s peněžní či nepeněžní odměnou. Investování je rizikové. Investujte zodpovědně. Záznam Online trading konference najdete zde. Revolgy - Ve světě technologií je cloud klíčem k růstu, bezpečnosti a inovacím. Revolgy firmám jako 212 Trading, FTMO nebo Bitpanda pomáhá využívat sílu cloudu a AI k dosažení těch nejlepších výsledků. Revolgy má za sebou více než 3000 spokojených zákazníků, kterým pomohli přejít na cloud, optimalizovat náklady a především zabezpečit jejich data s využitím Google Cloud a AWS. Mrkněte na jejich Krypto checklist.

We are excited to share this Special Edition COBT featuring Matt Loszak, CEO, and Jon Guidroz, Senior Vice President of Commercial and Strategy, from Aalo Atomics. Founded in 2022, Aalo is a pioneering nuclear energy company working to revolutionize the industry by manufacturing entire nuclear plants using prefabricated, factory-built components. Matt comes from a background in software startups, and his interest in nuclear began during his childhood in Toronto. Jon joined the company in September and is a seasoned leader in technology and sustainability, having previously held senior roles at Microsoft, Amazon Web Services, and Google Cloud. Last Monday, we had the opportunity to attend Aalo's Factory Unveiling in Austin and see the technology up close. Mike Bradley, Brett Rampal and I were thrilled to host Matt and Jon. In our conversation, we explore the renewed interest in nuclear energy, driven by the growing need for reliable low impact low cost power. We discuss Aalo's impressive growth (expanding from a small team of 5-10 to 45 people in under a year with plans to scale to 85-90 employees in the next 12 months), the company's Factory Unveiling event showcasing their Aalo Pod, designed to power AI data centers, and their ambitious goal to deliver power at under 3 cents per kWh. Matt shares insights into Aalo's focus to cross the “first-of-a-kind” barrier to “nth-of-a-kind” and what makes their “XMR” (Extra-Modular Reactor) design unique. We touch on the company's culture, focused on urgency and achieving lofty goals, their success in drawing talent from organizations like SpaceX, Tesla, and the oil and gas industry, and the company's plans to begin construction of a reactor at Idaho National Labs in 12 months. We cover the advantages and challenges of their sodium reactor design, the company's successful Series A fundraise and goals for Series B, and collaboration opportunities with oil and gas. It was a fantastic discussion and we appreciate Matt and Jon for taking the time from their busy schedule to visit. We look forward to following Aalo's progress and hope you enjoy the discussion as much as we did. Our best to you all!

Microsoft is rolling out a preview of its new feature called Recall, which captures screenshots of user activity on CoPilot Plus PCs. This feature, initially intended for launch alongside CoPilot Plus PCs, faced delays due to security concerns. Users must opt-in to save snapshots with Recall and can pause the feature at any time. This development raises important questions about data ownership and how organizations should approach the use of scraped data, especially as automated bots increasingly threaten the sustainability of open-source projects like Wikimedia.The podcast also discusses the impact of tariffs on IT budget planning, with IDC lowering its projected growth in global IT spending for 2025 from 10% to 5%. Many companies are experiencing uncertainty in their budgets, leading to spending cutbacks. CIOs are advised to prepare for various potential tariff scenarios, particularly as technology prices for devices are expected to be affected. The ongoing cuts in federal jobs are also impacting Managed Service Providers (MSPs), prompting them to diversify their client bases and adapt to changes in the federal market.In the cybersecurity realm, CyberFox has announced a strategic integration with Synchro to enhance security and operational efficiency for MSPs. This partnership aims to simplify security tools for providers, allowing them to increase security without sacrificing efficiency or budget. Additionally, Cohesity has expanded its partnership with Google Cloud to improve cyber resilience and data insights for organizations facing cyber threats, emphasizing that cybersecurity is becoming an essential infrastructure rather than an add-on.The episode concludes with insights from the 2025 AI Index, highlighting advancements in AI model efficiency and a notable increase in AI incidents. The report indicates a growing divide in AI optimism between the U.S. and China, with significant investment in AI continuing in the U.S. The discussion also touches on the importance of backward compatibility in Wi-Fi technology, illustrating how innovation and stability are crucial for modern IT services. The podcast encourages listeners to consider how to implement guardrails for customers while leveraging stability as a competitive differentiator. Four things to know today 00:00 Web Bots Are Taking Your Data—And Now Recall Wants to Watch Too03:23 IDC Slashes IT Growth Forecast Over Tariffs While MSPs Grapple with Federal Market Contraction06:34 Security's Getting Easier to Buy—But Harder to Sell as Strategy08:49 AI Innovation and Wi-Fi Stability: The Twin Pillars of Modern IT Strategy Supported by:  https://syncromsp.com/  Join Dave April 22nd to learn about Marketing in the AI Era.  Signup here:  https://hubs.la/Q03dwWqg0 All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech

In this episode, we cover Google's latest innovation: Lyria, a text-to-music AI model now available on Google Cloud. Discover how this tool enables users to generate custom music tracks across various genres, offering a fresh alternative to traditional royalty-free libraries .AI Applied YouTube Channel: https://www.youtube.com/@AI-Applied-PodcastGet on the AI Box Waitlist: ⁠⁠https://AIBox.ai/⁠⁠Conor's AI Course: https://www.ai-mindset.ai/coursesConor's AI Newsletter: https://www.ai-mindset.ai/Jaeden's AI Hustle Community: https://www.skool.com/aihustle/about

John is joined by Ben Lee, Chief Legal Officer of Reddit.  They discuss Ben's extensive career as a senior in-house lawyer in several of the most successful tech companies in the world.  After earning degrees in physics and economics, Ben worked at IBM's research lab, where he was intrigued by the way lawyers grappled with the impacts of technology on society.  Ben then went to law school and began his career as a litigator at a New York law firm but left to work at the Legal Aid Society.  Financial realities eventually led him back to private practice and then to a career in-house.  At AT&T and NEC, Ben worked closely with pioneering computer scientists and handled complex IP matters involving emerging technologies like machine learning and AI.  When he moved to Google, Ben advised on major projects like Chrome, Android, and Google Cloud at very early stages when their success was far from assured.  Ben later joined Twitter during its early, fast-paced growth phase, managing litigation, IP, employment, and regulatory issues.  He led Twitter's lawsuit against the U.S. government over transparency for national security requests.  Later, at Airbnb, Ben tackled challenging regulatory landscapes worldwide, and at Plaid, he advocated for consumers' rights to financial data.  At Reddit, Ben now oversees all legal functions for a vast online platform with over 100,000 user-created and moderated communities.  Section 230 of the Communications Decency Act is vital to Reddit's success.  It provides that online users and platforms are generally not liable for content created by others.  Section 230 protects Reddit's content moderation decisions, the decisions of its volunteer community moderators and its individual users.  Finally, Ben advises young in-house lawyers to remember that their job is not to just point out all potential legal risks in a project, but to help their teams manage those risks so they can build great products and move companies forward.Podcast Link: Law-disrupted.fmHost: John B. Quinn Producer: Alexis HydeMusic and Editing by: Alexander Rossi

Thomas Kurian is the CEO of Google Cloud Platform. He joins Big Technology Podcast to discuss how AI is changing the competitive balance in cloud services and why he believes Google has a chance to win. We also discuss the various use cases Google customers are finding for GenAI in the technology's early days, and whether the agent buzz is real. Finally, towards the end of the conversation we touch on tariffs and their impact on the cloud services business. Tune in for a wide ranging conversation with Google's top guy on cloud computing.

Only 5% of specialty retailers are leading in unified commerce. In this special podcast episode, Manhattan Associates, in partnership with Google Cloud and research firm Incisiv, breaks down the just-launched 2025 Unified Commerce Benchmark for Specialty Retail.

Welp, that escalated quickly.

Google and Mozilla patch nearly two dozen security flaws. The UK's Royal Mail Group sees 144GB of data stolen and leaked. A bizarre campaign looks to recruit cybersecurity professionals to hack Chinese websites. PostgreSQL servers with weak credentials have been compromised for cryptojacking. Google Cloud patches a vulnerability affecting its Cloud Run platform. Oracle faces a class-action lawsuit over alleged cloud services data breaches. CISA releases ICS advisories detailing vulnerabilities in Rockwell Automation and Hitachi Energy products. General Paul Nakasone offers a candid assessment of America's evolving cyber threats. On today's CertByte segment,  a look at the Cisco Enterprise Network Core Technologies exam. Are AI LLMs more like minds or mirrors? Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our daily intelligence roundup, Daily Briefing, and you'll never miss a beat. And be sure to follow CyberWire Daily on LinkedIn. CertByte Segment Welcome to CertByte! On this bi-weekly segment hosted by Chris Hare, a content developer and project management specialist at N2K, we share practice questions from N2K's suite of industry-leading certification resources, this week, Chris is joined by Troy McMillan to break down a question targeting the Cisco Enterprise Network Core Technologies (350-401 ENCOR) v1.1 exam. Today's question comes from N2K's Cisco CCNP Implementing and Operating Cisco Enterprise Network Core Technologies ENCOR (350-401) Practice Test. The ENCOR exam enables candidates to earn the Cisco Certified Specialist - Enterprise Core certification, which can also be used to meet exam requirements for several other Cisco certifications. Have a question that you'd like to see covered? Email us at certbyte@n2k.com. If you're studying for a certification exam, check out N2K's full exam prep library of certification practice tests, practice labs, and training courses by visiting our website at n2k.com/certify.To get the full news to knowledge experience, learn more about our N2K Pro subscription at https://thecyberwire.com/pro.  Please note: The questions and answers provided here, and on our site, are not actual current or prior questions and answers from these certification publishers or providers. Additional source: https://www.cisco.com/site/us/en/learn/training-certifications/exams/encor.html   Selected Reading Chrome 135, Firefox 137 Patch High-Severity Vulnerabilities (SecurityWeek) Royal Mail Group Loses 144GB to Infostealers: Same Samsung Hacker, Same 2021 Infostealer Log (Infostealers) Someone is trying to recruit security researchers in bizarre hacking campaign (TechCrunch) Ongoing cryptomining campaign hits over 1.5K PostgreSQL servers (SC Media) ImageRunner Flaw Exposed Sensitive Information in Google Cloud (SecurityWeek) Google Brings End-to-End Encrypted Emails to All Enterprise Gmail Users (SecurityWeek) Oracle now faces class action amid alleged data breaches (The Register) CISA Releases Two ICS Advisories for Vulnerabilities, & Exploits Surrounding ICS (Cyber Security News) Exclusive: Gen. Paul Nakasone says China is now our biggest cyber threat (The Record) Large AI models are cultural and social technologies (Science) Share your feedback. We want to ensure that you are getting the most out of the podcast. Please take a few minutes to share your thoughts with us by completing our brief listener survey as we continually work to improve the show.  Want to hear your company in the show? You too can reach the most influential leaders and operators in the industry. Here's our media kit. Contact us at cyberwire@n2k.com to request more info. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices