Podcasts about google cloud next

This week's interview was recorded live at Google Cloud Next, and features Alain Regnier and Camila Martins talking about recent developments in Kubernetes and cloud-native technologies. Including exploring highlights from KubeCon EU, and the value of community events.   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 Google Cloud Next KubeCon Europe Amazon Q for the Command Line Blog - Enhance AI-assisted development with Amazon ECS, Amazon EKS and AWS Serverless MCP server KubeCon China, KubeCon Japan, and KubeCon India CNCF Maintainer Summit and Maintainer Track at KubeCon North America LLM-d project VLLM Kubernetes Inference Gateway Blog: Introducing the Inference Extension for Gateway API Interview Kubo Labs Google Developer Expert (GDE) Program DevOpsDays Kubernetes Community Days (KCD) KCD Rio de Janeiro 2025 KubeCon EU 2025 Schedule SecNumCloud OpenTelemetry Docker Community and Docker Captains Program Elastic Community HashiCorp Community GKE Dataplane V2 Kubernetes Network Policies GKE VPC-native clusters GKE Dashboards Docker's AI/ML Trends Report 2024 eBPF Liz Rice CNCF Landscape - Service Mesh Container Storage Interface (CSI) Agones McDonald's AI lightning talk at Google Cloud Next Target AI lightning talk at Google Cloud Next Target AI session at Google Cloud Next Google Cloud Next 2024 Developer Keynote  

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Hot off the press from Google Cloud Next '25! I caught up with Jeanine Banks, VP & GM of Developer X at Google, on The Ravit Show right after the BIG reveal: Firebase Studio is here!Yes — Firebase Studio just dropped, and it's about to change how we build apps.Jeanine and I talked about: • How AI is reshaping the way software gets built — from concept to code • Why Firebase Studio was created and what it unlocks for developers • The rise of “vibe coding” — and why this new approach is more than just a trend • How developers can supercharge productivity and creativity by tapping into AIThe energy on the show floor is electric — and announcements like this are why.Big thanks to Jeanine and the Firebase team for sharing this breaking moment with us on #TheRavitShow!#data #ai #googlecloud #theravitshow

GenAI is evolving fast — and enterprises are feeling the pressure to keep up. That's why I was excited to sit down with Pankaj Dugar, SVP & GM at AI21 Labs, on The Ravit Show at Google Cloud Next '25!We talked about: • The biggest misconceptions enterprises still have about GenAI (hint: it's not just about the tech) • Where we really are on the enterprise adoption curve • What makes AI21's LLMs stand out in a crowded market — including their focus on private and secure deployments • And if you're a Fortune 500 CIO thinking about your GenAI strategy this year… Pankaj had some solid 30-second advice you won't want to missLoved this conversation — practical, insightful, and full of no-fluff takes on what's next for GenAI in the enterprise.Catch it on #TheRavitShow!#data #ai #googlecloud #ai21labs #theravitshow

Description: In this episode from Google Cloud Next 2025, we dive deep into Best Buy's AI transformation with Ashley Daniels, VP of Product Management. Discover how one of America's largest retailers approached AI implementation strategically, moving from 93 contact center applications to a unified solution.Ashley shares the real story behind Best Buy's AI journey - the quick wins, unexpected challenges, and why your foundation matters more than the technology itself. From gift finder tools to revolutionizing customer care, learn practical strategies for implementing AI that actually drives business outcomes.Key insights covered:Why treating AI as a "tool in the toolbox" leads to better resultsThe importance of starting with customer experience, not technologyHow to build strategic partnerships for AI implementationWhy domain expertise becomes more critical in an AI worldReal timeline: Getting AI summarization live in 6-8 weeksWhether you're in retail, customer service, or leading digital transformation initiatives, this conversation offers actionable insights for your AI strategy.Hosted by Maribel Lopez, founder and principal analyst at Lopez Research who interviewed Ashley Daniels, the VP of Product Management at Best Buy.You can follow Ashley here  https://www.linkedin.com/in/ashley-daniels1219/ and Maribel here https://www.linkedin.com/in/maribellopez/

AI agents hold the promise of continuously testing, scanning, and fixing code for security vulnerabilities, but we're still progressing toward that vision. Startups like Aptori are helping bridge the gap by building AI-powered security engineers for enterprises. Aptori maps an organization's codebase, APIs, and cloud infrastructure in real time to understand data flows and authorization logic, allowing it to detect and eventually remediate security issues. At Google Cloud Next, Aptori CEO Sumeet Singh discussed how earlier tools merely alerted developers to issues—often overwhelming them—but newer models like Gemini 2.5 Flash and Claude Sonnet 4 are improving automated code fixes, making them more practical. Singh and co-founder Travis Newhouse previously built AppFormix, which automated OpenStack cloud operations before being acquired by Juniper Networks. Their experiences with slow release cycles due to security bottlenecks inspired Aptori's focus. While the goal is autonomous agents, Singh emphasizes the need for transparency and deterministic elements in AI tools to ensure trust and reliability in enterprise security workflows.Learn more from The New Stack about the latest insights in AI application security: AI Is Changing Cybersecurity Fast and Most Analysts Aren't ReadyAI Security Agents Combat AI-Generated Code RisksDevelopers Are Embracing AI To Streamline Threat Detection and Stay AheadJoin our community of newsletter subscribers to stay on top of the news and at the top of your game.

CodeRabbit, led by founder Harjot Gill, is tackling one of software development's biggest bottlenecks: the human code review process. While AI coding tools like GitHub Copilot have sped up code generation, they've inadvertently slowed down shipping due to increased complexity in code reviews. Developers now often review AI-generated code they didn't write, leading to misunderstandings, bugs, and security risks. In an episode of The New Stack Makers, Gill discusses how Code Rabbit leverages advanced reasoning models—OpenAI's o1, o3 mini, and Anthropic's Claude series—to automate and enhance code reviews. Unlike rigid, rule-based static analysis tools, Code Rabbit builds rich context at scale by spinning up sandbox environments for pull requests and allowing AI agents to navigate codebases like human reviewers. These agents can run CLI commands, analyze syntax trees, and pull in external context from Jira or vulnerability databases. Gill envisions a hybrid future where AI handles the grunt work of code review, empowering humans to focus on architecture and intent—ultimately reducing bugs, delays, and development costs.Learn more from The New Stack about the latest insights about AI code reviews: CodeRabbit's AI Code Reviews Now Live Free in VS Code, Cursor AI Coding Agents Level Up from Helpers to Team Players Augment Code: An AI Coding Tool for 'Real' Development WorkJoin our community of newsletter subscribers to stay on top of the news and at the top of your game. 

At the close of this year's Google Cloud Next, The New Stack's Alex Williams, AI editor Frederic Lardinois, and analyst Janakiram MSV discussed the event's dominant theme: AI agents. The conversation focused heavily on agent frameworks, noting a shift from last year's third-party tools like Langchain, CrewAI, and Microsoft's Autogen, to first-party offerings from model providers themselves. Google's newly announced Agent Development Kit (ADK) highlights this trend, following closely on the heels of OpenAI's agent SDK. MSV emphasized the significance of this shift, calling it a major milestone as Google joins the race alongside Microsoft and OpenAI. Despite the buzz, Lardinois pointed out that many companies are still exploring how AI agents can fit into real-world workflows. The panel also highlighted how Google now delivers a full-stack AI development experience — from models to deployment platforms like Vertex AI. New enterprise tools like Agent Space and Agent Garden further signal Google's commitment to making agents a core part of modern software development. Learn more from The New Stack about the latest in AI agents: How AI Agents Will Change the Web for Users and Developers AI Agents: A Comprehensive Introduction for Developers AI Agents Are Coming for Your SaaS Stack Join our community of newsletter subscribers to stay on top of the news and at the top of your game. 

Agentic AI represents the next phase beyond generative AI, promising systems that not only generate content but also take autonomous actions within business processes. In a conversation recorded at Google Cloud Next, Kevin Laughridge of Deloitte explains that businesses are moving from AI pilots to production-scale deployments. Agentic AI enables decision-making, reasoning, and action across complex enterprise environments, reducing the need for constant human input. A key enabler is Google's newly announced open Agent2Agent (A2A) protocol, which allows AI agents from different vendors to communicate and collaborate securely across platforms. Over 50 companies, including PayPal, Salesforce, and Atlassian, are already adopting it. However, deploying agentic AI at scale requires more than individual tools—it demands an AI platform with runtime frameworks, UIs, and connectors. These platforms allow enterprises to integrate agents across clouds and systems, paving the way for AI that is collaborative, adaptive, and embedded in core operations. As AI becomes foundational, developers are transitioning from coding to architecting dynamic, learning systems.Learn more from The New Stack about the latest insights about Agent2Agent Protocol: Google's Agent2Agent Protocol Helps AI Agents Talk to Each OtherA2A, MCP, Kafka and Flink: The New Stack for AI AgentsJoin our community of newsletter subscribers to stay on top of the news and at the top of your game.

Aja Hammerly, director of developer relations at Google, sees AI as the always-available coding partner developers have long wished for—especially in those late-night bursts of inspiration. In a conversation with Alex Williams at Google Cloud Next, she described AI-assisted coding as akin to having a virtual pair programmer who can fill in gaps and offer real-time support. Hammerly urges developers to start their AI journey with tools that assist in code writing and explanation before moving into more complex AI agents. She distinguishes two types of DevEx AI: using AI to build apps and using it to eliminate developer toil. For Hammerly, this includes letting AI handle frontend work while she focuses on backend logic. The newly launched Firebase Studio exemplifies this dual approach, offering an AI-enhanced IDE with flexible tools like prototyping, code completion, and automation. Her advice? Developers should explore how AI fits into their unique workflow—because development, at its core, is deeply personal and individual.Learn more from The New Stack about the latest AI insights with Google Cloud:Google AI Coding Tool Now Free, With 90x Copilot's OutputGemini 2.5 Pro: Google's Coding Genius Gets an UpgradeQ&A: How Google Itself Uses Its Gemini Large Language ModelJoin our community of newsletter subscribers to stay on top of the news and at the top of your game. 

Parisa Tabriz is vice president and general manager for Google Chrome, the world's leading browser platform. She leads efforts to make Chrome a secure and essential enterprise workspace, integrating AI and advanced cybersecurity to meet evolving business needs. In this episode, Parisa joins Bob to explore how Chrome is redefining the browser as a productivity and security platform, the role of AI in enterprise protection, and what's next for Chrome's innovations.Chrome at Google Cloud NextThe Big Themes:Chrome's Evolution into a Central Productivity and Security Platform: Over the past 17 years, Chrome has transformed from a simple web browser into a comprehensive platform integral to enterprise productivity and security. Users now spend a significant portion of their workday within Chrome, utilizing it for tasks ranging from document editing to video conferencing. This shift has positioned Chrome as the new endpoint in enterprise environments.Simplifying Enterprise Security with Chrome: Complexity is often the enemy of security. Chrome aims to simplify enterprise security by integrating protective measures directly into the browser, reducing the need for multiple, potentially conflicting security solutions. Features like automatic updates, built-in phishing protection, and centralized policy management allow IT teams to maintain a secure environment with less overheads.Personalization, Governance, and AI Empowerment: Chrome prioritizes features that allow organizations to personalize user experiences while maintaining strict governance over data and AI usage. Tools like data masking, controlled copy-paste functionalities, and the ability to designate approved AI applications help prevent data leaks and ensure compliance with internal policies. By providing these controls, Chrome empowers enterprises to harness the benefits of AI technologies responsibly.The Big Quote: ". . . the browser is the place where you can give people access to the benefits [of AI], but also make sure that you have the controls and governance to turn it off or make sure that your employees aren't copying and pasting data into an unsanctioned AI surface."More from Parisa Tabriz and Google Chrome:Connect with Parisa on LinkedIn or learn more about Google Chrome.

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.  

In this episode of The Enterprise Applications Podcast, hosts Melody Brue and Robert Kramer dive into the latest developments in enterprise technology. They discuss key takeaways from Google Cloud Next, insights from Microsoft's Work Trend Index, updates from Canva Create, and major announcements from Adobe MAX London. Plus, they break down big tech earnings from SAP, IBM, and ServiceNow.

Google Cloud Next 2025 otwiera sezon konferencji hyperscalerów z Agentic AI

This week, we discuss Google being found to be a monopoly, OpenAI's “offer” to buy Chrome, and some hot takes on JSON. Plus, is it better to wait on hold or ask for a callback? Watch the YouTube Live Recording of Episode (https://www.youtube.com/watch?v=EhUxUPJv5g4) 516 (https://www.youtube.com/watch?v=EhUxUPJv5g4) Runner-up Titles Just Fine The SDT “Fine” Scale Callback Asynchronous Friendship I would love to get to know you better…over text Send you Jams to the dry cleaners. JSON Take it xslt-easy! Rundown OpenAI OpenAI in talks to pay about $3 billion to acquire AI coding startup Windsurf (https://www.cnbc.com/2025/04/16/openai-in-talks-to-pay-about-3-billion-to-acquire-startup-windsurf.html) The Cursor Mirage (https://artificialintelligencemadesimple.substack.com/p/the-cursor-mirage) AI is for Tinkerers (https://redmonk.com/kholterhoff/2023/06/27/ai-is-for-tinkerers/) Vibe Coding is for PMs (https://redmonk.com/rstephens/2025/04/18/vibe-coding-is-for-pms/) OpenAI releases new simulated reasoning models with full tool access (https://arstechnica.com/ai/2025/04/openai-releases-new-simulated-reasoning-models-with-full-tool-access/) Clouded Judgement 4.18.25 - The Hidden Value in the AI Application Layer (https://cloudedjudgement.substack.com/p/clouded-judgement-41825-the-hidden?utm_source=post-email-title&publication_id=56878&post_id=161562220&utm_campaign=email-post-title&isFreemail=true&r=2l9&triedRedirect=true&utm_medium=email) OpenAI tells judge it would buy Chrome from Google (https://www.theverge.com/news/653882/openai-chrome-google-us-judge) The Creators of Model Context Protocol (https://www.latent.space/p/mcp?utm_source=substack&utm_medium=email) Judge finds Google holds illegal online ad tech monopolies (https://www.cnbc.com/2025/04/17/judge-finds-google-holds-illegal-online-ad-tech-monopolies.html) Intuit, Owner of TurboTax, Wins Battle Against America's Taxpayers (https://prospect.org/power/2025-04-17-intuit-turbotax-wins-battle-against-taxpayers-irs-direct-file/) Relevant to your Interests Switch 2 Carts Still Taste Bad, Designed Purposefully To Be Spat Out (https://www.gamespot.com/articles/switch-2-carts-still-taste-bad-designed-purposefully-to-be-spat-out/1100-6530649/) CEO Andy Jassy's 2024 Letter to Shareholders (https://www.aboutamazon.com/news/company-news/amazon-ceo-andy-jassy-2024-letter-to-shareholders) Amazon CEO Andy Jassy says AI costs will come down (https://www.cnbc.com/2025/04/10/amazon-ceo-andy-jassys-2025-shareholder-letter.html) Happy 18th Birthday CUDA! (https://www.aboutamazon.com/news/company-news/amazon-ceo-andy-jassy-2024-letter-to-shareholders) Honeycomb Acquires Grit: A Strategic Investment in Pragmatic AI and Customer Value (https://www.honeycomb.io/blog/honeycomb-acquires-grit) Everything Announced at Google Cloud Next in 12 Minutes (https://www.youtube.com/watch?v=2OpHbyN4vEM) GitLab vs GitHub : Key Differences in 2025 (https://spacelift.io/blog/gitlab-vs-github) Old Fashioned Function Keys (https://economistwritingeveryday.com/2025/04/11/old-fashioned-function-keys/) Fake job seekers are flooding U.S. companies that are hiring for remote positions, (https://www.cnbc.com/2025/04/08/fake-job-seekers-use-ai-to-interview-for-remote-jobs-tech-ceos-say.html) NetRise raises $10M to expand software supply chain security platform (https://siliconangle.com/2025/04/15/netrise-raises-10-million-expand-software-supply-chain-security-platform/) Mark Zuckerberg's antitrust testimony aired his wildest ideas from Meta's history (https://www.theverge.com/policy/649520/zuckerberg-meta-ftc-antitrust-testimony-facebook-history) How Much Should I Be Spending On Observability? (https://www.honeycomb.io/blog/how-much-should-i-spend-on-observability-pt1) Did we just make platform engineering much easier by shipping a cloud IDP? (https://seroter.com/2025/04/16/did-we-just-make-platform-engineering-much-easier-by-shipping-a-cloud-idp/) Google Cloud Next 2025: Agentic AI Stack, Multimodality, And Sovereignty (https://www.forrester.com/blogs/google-next-2025-agentic-ai-stack-multimodality-and-sovereignty/) iPhone Shipments Down 9% in China's Q1 Smartphone Boom (https://www.macrumors.com/2025/04/18/iphone-shipments-down-in-china-q1/) Exclusive: Anthropic warns fully AI employees are a year away (https://www.axios.com/2025/04/22/ai-anthropic-virtual-employees-security) Synology requires self-branded drives for some consumer NAS systems, drops full functionality and support for third-party HDDs (https://www.tomshardware.com/pc-components/nas/synology-requires-self-branded-drives-for-some-consumer-nas-systems-drops-full-functionality-and-support-for-third-party-hdds) Porting Tailscale to Plan 9 (https://tailscale.com/blog/plan9-port?ck_subscriber_id=512840665&utm_source=convertkit&utm_medium=email&utm_campaign=[Last%20Week%20in%20AWS]%20Issue%20#418:%20Another%20New%20Capacity%20Dingus%20-%2017270009) CVE Foundation (https://www.thecvefoundation.org/) The Cursor Mirage (https://artificialintelligencemadesimple.substack.com/p/the-cursor-mirage) There's a Lot of Bad Telemetry Out There (https://blog.olly.garden/theres-a-lot-of-bad-telemetry-out-there) Gee Wiz (https://redmonk.com/rstephens/2025/04/04/gee-wiz/?ck_subscriber_id=512840665&utm_source=convertkit&utm_medium=email&utm_campaign=[Last%20Week%20in%20AWS]%20Issue%20#418:%20Another%20New%20Capacity%20Dingus%20-%2017270009) Nonsense Silicon Valley crosswalk buttons hacked to imitate Musk, Zuckerberg's voices (https://techcrunch.com/2025/04/14/silicon-valley-crosswalk-buttons-hacked-to-imitate-musk-zuckerberg-voices/) A Visit to Costco in France (https://davidlebovitz.substack.com/p/a-visit-to-costco-in-france) No sweat: Humanoid robots run a Chinese half-marathon (https://apnews.com/article/china-robot-half-marathon-153c6823bd628625106ed26267874d21) Metre, a consistent measurement of the world (https://mappingignorance.org/2025/04/23/150-years-ago-the-metre-convention-determined-how-we-measure-the-world/) Conferences DevOps Days Atlanta (https://devopsdays.org/events/2025-atlanta/welcome/), April 29th-30th. KCD Texas Austin 2025 (https://community.cncf.io/events/details/cncf-kcd-texas-presents-kcd-texas-austin-2025/), May 15th, Whitney Lee Speaking. Cloud Foundry Day US (https://events.linuxfoundation.org/cloud-foundry-day-north-america/), May 14th, Palo Alto, CA, Coté speaking. Fr (https://vmwarereg.fig-street.com/051325-tanzu-workshop/)ee AI workshop (https://vmwarereg.fig-street.com/051325-tanzu-workshop/), May 13th. day before C (https://events.linuxfoundation.org/cloud-foundry-day-north-america/)loud (https://events.linuxfoundation.org/cloud-foundry-day-north-america/) (https://events.linuxfoundation.org/cloud-foundry-day-north-america/)Foundry (https://events.linuxfoundation.org/cloud-foundry-day-north-america/) Day (https://events.linuxfoundation.org/cloud-foundry-day-north-america/). NDC Oslo (https://ndcoslo.com/), May 21st-23th, Coté speaking. SDT News & Community Join our Slack community (https://softwaredefinedtalk.slack.com/join/shared_invite/zt-1hn55iv5d-UTfN7mVX1D9D5ExRt3ZJYQ#/shared-invite/email) Email the show: questions@softwaredefinedtalk.com (mailto:questions@softwaredefinedtalk.com) Free stickers: Email your address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) Follow us on social media: Twitter (https://twitter.com/softwaredeftalk), Threads (https://www.threads.net/@softwaredefinedtalk), Mastodon (https://hachyderm.io/@softwaredefinedtalk), LinkedIn (https://www.linkedin.com/company/software-defined-talk/), BlueSky (https://bsky.app/profile/softwaredefinedtalk.com) Watch us on: Twitch (https://www.twitch.tv/sdtpodcast), YouTube (https://www.youtube.com/channel/UCi3OJPV6h9tp-hbsGBLGsDQ/featured), Instagram (https://www.instagram.com/softwaredefinedtalk/), TikTok (https://www.tiktok.com/@softwaredefinedtalk) Book offer: Use code SDT for $20 off "Digital WTF" by Coté (https://leanpub.com/digitalwtf/c/sdt) Sponsor the show (https://www.softwaredefinedtalk.com/ads): ads@softwaredefinedtalk.com (mailto:ads@softwaredefinedtalk.com) Recommendations Brandon: Dope Thief (https://www.rottentomatoes.com/tv/dope_thief) on Apple TV (https://www.rottentomatoes.com/tv/dope_thief) Coté: Check out the recording of the Tanzu Annual update (https://www.youtube.com/watch?v=c1QZXzJcAfQ), all about Tanzu's private AI platform. Next, watch Coté's new MCP for D&D video (#4) figures out something cool to do with MCP Prompts (https://www.youtube.com/watch?v=xEtYBznneFg), they make sense now. And, a regret-a-mmendation: Fields Notes annual subscription (https://fieldnotesbrand.com/limited-editions). Photo Credits Header (https://unsplash.com/photos/a-telephone-sitting-on-top-of-a-wooden-shelf-2XnGRN_caHc)

Live from Google Cloud Next 2025, Gary Arora, Bill Briggs, and Mamoun Hirzalla discuss AI agents, LLMs, and the future of tech in transforming business processes.

Few organizations use as wide a range of technology as the nation's national laboratories. To learn about AI and cloud innovations at Lawrence Berkeley, Federal News Network's Tom Temin talks with the lab's science IT advisor and cloud manager, Jeff D'Ambrogia, during Google Cloud Next '25.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In science, you've got to show your work — the evidence of how you reached a hypothesis. Federal News Network's Tom Temin gets the lowdown during Google Cloud Next '25 about how artificial intelligence helps scientists do this better from Sophie Lebrecht, COO of Google partner Ai2.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Critical infrastructure like extensive state road systems pose all sorts of safety, traffic flow and maintenance challenges. To understand how artificial intelligence helps make traffic safer and more efficient, Federal News Network's Tom Temin chats with the authority's chief information officer, Josh Klemm, at Google Cloud Next '25.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

O Google Cloud Next e o South Summit Brazil tomam conta do FIAP Decode. André David, Simara Conceição e Mônica Hillman decodificam os highlights desses grandes eventos tech. Entre eles, as novidades do Gemini 2.5, o lançamento do Cloud WAN, as tecnologias do cinema imersivo e o destaque do empreendedorismo brasileiro Decodifique novas conexões  André David: [@andrefdavid⁠]   [Instagram]  Simara Conceição: [@simaraconceicao] [Instagram] [YouTube]Mônica Hillman: [@monicamhillman] [Instagram]FIAP MEETUP 14/05 | Meetup #147 - Cybersecurity Forecast 2025/2026: desafios e tendências IMERSÃO IA Alura e Gemini: Transforme ideias em projetos reais com a IA do Google PROJETO PRETALAB Inscreva-se no programa “Aprofunda” do PretaLab, formação técnica em back-end, desenvolvimento de soft skills e carreira  NOTÍCIAS DA EDIÇÃO Google Cloud Next 2025 Como o Google DeepMind e o Google Cloud estão ajudando a trazer um clássico do cinema para a vida em grande escala em Las Vegas Google Cloud Next: Gemini 2.5 Pro é o modelo de codificação mais avançado até agora e se destaca no desenvolvimento de aplicações de programação autônomas Cloud WAN, nova solução da Google Cloud, permite que empresas e governos se conectem globalmente usando a infraestrutura de rede da Google, otimizada para a era da IA South Summit South Summit 2025: Tragédia no Rio Grande do Sul trouxe o clima a pauta dos painéis do evento de inovação South Summit: 3 mil startups mostram o potencial inovador do mercado brasileiro 

Guests: No guests [Tim in Vegas and Anton remote] Topics: So, another Next is done. Beyond the usual Vegas chaos, what was the overarching security theme or vibe you [Tim] felt dominated the conference this year? Thinking back to Next '24, what felt genuinely different this year versus just the next iteration of last year's trends? Last year, we pondered the 'Cloud Island' vs. 'Cloud Peninsula'. Based on Next 2025, is cloud security becoming more integrated with general cyber security, or is it still its own distinct domain? What wider trends did you observe, perhaps from the expo floor buzz or partner announcements, that security folks should be aware of? What was the biggest surprise for you at Next 2025? Something you absolutely didn't see coming? Putting on your prediction hats (however reluctantly): based on Next 2025, what do you foresee as the major cloud security focus or challenge for the industry in the next 12 months? If a busy podcast listener listening could only take one key message or action item away from everything announced and discussed at Next 2025, what should it be? Resources: EP169 Google Cloud Next 2024 Recap: Is Cloud an Island, So Much AI, Bots in SecOps  

Send us a textThe tech world gives and takes away as Google introduces CloudWAN while MITRE nearly loses CVE funding, showcasing both innovation and vulnerability in our digital infrastructure landscape. Politics increasingly intersects with technology as we examine controversial security clearance revocations alongside much-needed technical improvements in cloud networking.• Google Cloud Next introduces CloudWAN service with two use cases: high-performance data center connectivity and premium branch networking• Google's approach differs from AWS, encouraging single global VPC deployments across regions• MITRE loses funding for the CVE program, threatening the global vulnerability tracking system• CISA provides 11-month bridge funding, but fragmentation begins as EU launches alternative vulnerability tracking• Azure announces general availability of route maps for Virtual WAN, bringing traditional networking capabilities to cloud• Former CISA director Chris Krebs targeted in federal investigation for debunking 2020 election fraud claims• Security clearance revocations increasingly used as political weapons against technology professionalsSubscribe to Cables to Clouds Fortnightly News and tell a friend about the show to stay informed about the evolving cloud technology landscape.Purchase Chris and Tim's new book on AWS Cloud Networking: https://www.amazon.com/Certified-Advanced-Networking-Certification-certification/dp/1835080839/ Check out the Fortnightly Cloud Networking Newshttps://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/Visit our website and subscribe: https://www.cables2clouds.com/Follow us on BlueSky: https://bsky.app/profile/cables2clouds.comFollow us on YouTube: https://www.youtube.com/@cables2clouds/Follow us on TikTok: https://www.tiktok.com/@cables2cloudsMerch Store: https://store.cables2clouds.com/Join the Discord Study group: https://artofneteng.com/iaatj

Google je "ubio" AI alate za kodiranje novim proizvodom kojeg je predstavio na svojoj konferenciji Google Cloud Next. Antonija se vratila puna dojomva iz Las Vegasa gdje se, po svemu sudeći, Google pokušao poredstaviti kao najjači igrač u razvoju umjetne inteligencije. Osim što vam donosimo insajderske vijesti iz jedne od najvećih koneferncija, raspravljali smo i o nedavnom "PR stuntu" Jeffa Bezosa kada je poslao 6 žena na rub svemira. _______________0:00 Uvod0:30 Posjetili smo jednu od najvećih konferencija na svijetu - Google Cloud Next 3:00 Google predstavio 229 novosti 4:30 Google izbacio alat s kojim svaki čovjek može napraviti aplikaciju - Firebase Studio8:30 Kako će Firebase Studio utjecati AI startupe i AI developere?16:30 Dobili smo i AI košarkaškog trenera18:25 Povijesni dan za IT - Jeff Bezos lansirao 6 žena u svemir21:30 Veliki "PR stunt" u svemirskoj utrci milijardera TOP i FLOP24:50 Opet se šire prevarantski oglasi26:30 Cijena Nintendo Switcha 2 ide u oblake zbog Trumpa27:35 3,7 milijuna $ za domaći Wasp29:00 Otkriven snažan dokaz o životu na drugom planetu_______________

#Podcast #AutosEléctricos #AppsMéxico #IntimidadArtificialEn este episodio hablamos sobre los nuevos supercargadores para autos eléctricos y lo que esto significa para el futuro de la movilidad. Además, México ocupa el 6º lugar en descargas de apps, exploramos la idea de la intimidad artificial, lo nuevo de Google Cloud Next y Workspace y el fenómeno del Ken-LeBron James.

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 episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss MCP (Model Context Protocol) and agentic marketing. You’ll learn how MCP connects AI tools to automate tasks—but also why technical expertise is essential to use it effectively. You’ll discover the three layers of AI adoption, from manual prompts to fully autonomous agents, and why skipping foundational steps leads to costly mistakes. You’ll see why workflow automation (like N8N) is the bridge to agentic AI, and how to avoid falling for social media hype. Finally, you’ll get practical advice on staying ahead without drowning in tech overwhelm. Watch now to demystify AI's next big thing! Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-what-is-mcp-agentic-ai-generative-ai.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn – 00:00 In this week’s In-Ear Insights, let’s talk about MCP—Model Context Protocol—and its applications for marketing and what it means. Katie, you said you have questions. Katie Robbert – 00:13 I do. I saw you posted in our free Slack group, Analytics for Marketers, towards the end of last week that one of the models had MCP available. When I see notifications like that, my first thought is: Is this something I need to pay attention to? Usually, you’re really good about letting me know, but I am a fully grown human who needs to be responsible for what I should be paying attention to and not just relying on the data scientist on my team. That was my first gut reaction—which is fair, because you’re a busy person. I like to keep you very busy, and you don’t always have time to let me know what I should be paying attention to. So that was problem one. Problem number two is, yes, you post things typically ahead of when they become more commonplace announcements. I saw a post this morning that I shared with you about MCP and agentic marketing processes, and how it’s going to replace your SEO if you’re doing traditional SEO. For some reason, that raised all of my insecurities and anxieties. Oh my gosh, I really am falling behind because I like to tell people about getting their foundation squared away. If I’m being really honest with myself, I think I focus on that because I feel so lost when I think about AI, agentic processes, MCP, N8N, and all these other things. So I’m like, let me focus on what I know best. But I am now in the boat where I feel like my boat is trailing behind the giant AI yacht. I’m dog-paddling to try to keep up, and I’m just not there. So help me understand a couple of things. One, what is MCP? Two, we’ve talked about agentic AI, but let’s talk about agentic marketing processes. And three, how is someone who isn’t in the weeds with AI every day supposed to not sit at their desk and cry over all of this? Those are big questions, so maybe let’s take them one at a time. All right, let’s start with: What is MCP? Christopher S. Penn – 02:36 Okay, MCP stands for Model Context Protocol. This is something initially advanced by Anthropic, the makers of Claude. It has since been adopted as a standard by OpenAI and now by Google. Sundar Pichai announced at Google Cloud Next last week that the Gemini family will adopt MCP. So what is this? It’s a way for a generative AI model to interface with other systems—a process called tool handling. MCP is a specific kind of tool. You create an MCP server that does stuff behind the scenes. It can be as simple as reading files from your disk or as complicated as using a bunch of SEO tools to optimize a page. It makes that keyword tool available in a tool like Claude Desktop. You could call the tool something like “Make a Katie Joke.” That would be the tool name. You would build an MCP server that talks to an LLM to do all these things behind the scenes. But in Claude, it would just appear as a little tool icon. You’d say, “Hey, Claude, use the Make a Katie Joke tool to make a joke that Katie would make,” and it would talk to that MCP server and kick off all these processes behind the scenes. So think of MCP as a kind of natural language API where, in a conversation with ChatGPT or Claude, you’d say, “Hey, write me some Google Ads with the Google Ads tool.” If you’ve built this tool for yourself or use one of the many free, open MCP servers available (which have data privacy issues), you can add new capabilities to generative AI that the tools don’t have on their own. The thing is, you still have to know what the tool does. You have to build it if it doesn’t exist, integrate it, and know when you should and shouldn’t use it. So as much as it may feel like you’re falling behind, believe it or not, your expertise is actually more important than ever for this. Even though we have MCP, N8N, and workflow automation, all that is software development. It still has to conform to the SDLC. You may not write code, but you better know the SDLC, or you’re going to waste a lot of time. Katie Robbert – 05:19 That’s helpful to know because, again, this may be—let me back up for a second. The information people share on social media is what they want you to see about them. They’re presenting their best selves. I understand that. I do that too as a representative of the company. That’s my job—to represent the best parts of what we do. And yet, my non-professional persona looks at what everyone else is sharing and thinks, Oh my gosh, I really am falling behind. And yet, here I am. My posts are right up there with the others. It’s like, no, I’m not. So I think that’s a little bit of the psychology of where a lot of people are feeling right now. We’re trying our best to look like we know what we’re talking about, but on a daily basis, we’re like, I have no idea what’s happening. So that’s part one. Now I understand what an MCP is. In a nutshell, it’s kind of like a connector between two systems. The commercial version is Zapier—a lot of marketers use Zapier. It’s like, how do I get my data from this place to that place? It transfers information from one system to another. Interestingly enough, I was at the animal shelter we work with yesterday, talking with the executive director. One of the problems she’s trying to solve is that she has literally hundreds of tabs in different spreadsheets of inventory at the shelter. They’re moving to a new shelter, and she’s trying to figure out where everything goes. I was describing to her a system—which doesn’t exist yet—that could include what you’re telling me is an MCP. In a very short version, I explained: We could take all your spreadsheets with all your tabs (which are basically your categories), put those into a database, and then layer generative AI on top of it with some system instructions. Your staff takes a picture of whatever’s been donated. Generative AI recognizes, Okay, that’s two bags of dog food, one thing of wet food, and some pee pads. It looks like those go in Room 121 with the other things, and it adds to the database. I was explaining this process without knowing what that connector was going to be. I said, Let me go back and talk to Chris about it. But I’m fairly certain that’s a thing that can exist. So it sounds like I was describing something I didn’t have the terminology for. Christopher S. Penn – 08:12 Exactly. Right now, here’s the thing—and this is something the LinkedIn hype crowd won’t tell you. As the average user, let me show you what the “getting started with MCP” quick start for non-technical users is. This is from Claude’s website: For Claude Desktop users, get started using MCP in Claude Desktop. First, install Claude Desktop. Second, go into the config file and edit this JSON. Katie Robbert – 08:41 You’ve already lost me. Christopher S. Penn – 08:42 Exactly. Oh, by the way, you also need Node.js on your computer for this to run properly. So when someone says MCP is the future and it’s so easy—well, yes, if you’re a technical person, that’s true. If you’re a non-technical person, this is useless because you’re not going to sit there and install Node.js just to configure a pre-built MCP server. You and your company—if you want to use these capabilities—need to have some IT resources because this is just straight-up IT. This isn’t even AI. This is just, Hey, you need these components in your kitchen before you can cook anything. As cool as MCP is (and believe me, it is very cool), it also has a very high technical bar of entry. So when you see somebody saying, Hey, this is the new AI-enabled MCP SEO, well, yes, that’s true. But what they’re not saying is, you’re probably not going to do this on your own if you’re a non-technical marketer. It’s a business ploy to say, You should hire us as your SEO firm because we’re AI-enabled and we know how to install MCP services. Like, yeah, I can do that too. I just don’t advertise it because it’s kind of a jerk move. Katie Robbert – 10:13 But I think that’s an important point to raise—not that you’re a jerk, but that a lot of us struggle with feeling like we’re not keeping up with AI because of these individuals—professionals, thought leaders, futurists, content creators—who put out this information: This is the future, this is how you’re going to do it. I can probably accurately describe agentic AI, but I couldn’t build it for you. And I think that’s where everyday marketers are struggling. Yeah, I think now I finally understand the concept, but I have no idea how to get started with the thing because there’s nothing out of the box for non-technical people. It’s all still, to your point, a lot of software development, a lot of IT. Even if it’s just installing things so you can get to the drag-and-drop, asking people to suddenly update their config file is maybe one step beyond their technical comfort zone. I just—I know the purpose of this episode is to understand more about MCP and agentic marketing, but I’m struggling to feel like I’m keeping up with being able to execute on all these things that are happening. Because every day, it’s something new, right? Christopher S. Penn – 11:54 So here’s how you get to MCP usage. First, you have to have the basics. Remember, we have the three layers we’ve talked about in the past: Done by you—You’re copy-pasting prompts. There’s nothing wrong with that, but it’s labor-intensive. If you’ve got a great prompt and a way of doing things that works, you’re already ahead of 95% of the crowd who’s still typing one-sentence prompts into ChatGPT. That’s step one. Done with you—How can you put that in some form of automation? We’ve talked about N8N in the past. I’ll give you an example: I put together a workflow for my newsletter where I say, Here’s my newsletter post. I want you to translate it into these four languages. It sends it to Google Gemini, then writes the updated versions back to my hard drive. This saves me about 20 minutes a week because I don’t have to copy-paste each prompt anymore. This is workflow automation. Done for you (Agentic)—To turn this into an MCP server (which makes it an agent, where I’m not part of the process at all), I’d add the MCP server node. Instead of saying, When manual start (when Chris clicks go), you’d have an MCP server that says, When a generative AI tool like Claude requests this, run the process. So, Claude would say, Hey, here’s this week’s newsletter—go make it. Claude Desktop would recognize there’s an Almost Timely Newsletter tool (an MCP server), send the request, the software would run, and when it’s done, it would send a message back to Claude saying, We’re done. That’s how MCP fits in. It takes the whole automation, puts it in a black box, and now it’s an agent. But you cannot build the agent without the workflow automation, and you cannot build the workflow automation without the standard operating procedure. If you don’t have that fundamental in place, you’re going to create garbage. Katie Robbert – 15:59 I think that’s also helpful because even just thinking about the step of translation—I’m assuming you didn’t just say, Hey, Gemini, translate this and accept whatever it gave back. You likely had to build system instructions that included, Translate it this way, then here’s how you’re going to double-check it, then here’s how you’re going to triple-check it. That to me is very helpful because you’re giving me confirmation that the foundational pieces still have to happen. And I think that’s where a lot of these content creators on social platforms talking about MCP and agentic AI are skipping that part of the conversation. Because, as we’ve said before, it’s not the fun stuff—it’s not the push-the-buttons, twist-the-knob, get-the-shiny-object part. It’s how you actually get things to work correctly. And that’s where, as a regular human, I get caught up in the hype: Oh, but they’re making it look so easy. You just do the thing. It’s like the people on social who post, Look how perfect my sourdough bread came out, but they’re not showing you the 17 loaves and five years of trial and error before this perfect loaf. Or they’re faking it with a mock background. I’m saying all this because I need that reminder—it’s all smoke and mirrors. There’s no shortcut for getting it done correctly. So when I see posts about agentic marketing systems and SEO and email marketing—You’re not even going to have to participate, and it’s going to get it right—I need that reminder that it’s all smoke and mirrors. That’s my therapy session for the morning. Christopher S. Penn – 18:33 And here’s the thing: If you have well-written standard operating procedures (SOPs) that are step-by-step, you can hand that to someone skilled at N8N to turn it into a workflow automation. But it has to be granular—Click here, then click here. That level of detail is so important. Once you have an SOP (your process), you turn it into workflow automation. Once the workflow automation works, you bolt on the MCP pieces, and now you have an agent. But here’s the danger: All these things use APIs, and APIs cost either time, money, or resources. I’m using Gemini’s free version, which Google trains on. If I was doing this for a client, I’d use the paid version (which doesn’t train), and the bills start coming in. Every API call costs money. If you don’t know what you’re doing and you haven’t perfected the process, you might end up with a five-figure server bill and wonder, What happened? Part of MCP construction and agentic AI is great development practices to make your code as efficient as possible. Otherwise, you’re going to burn a lot of money—and you may not even be cash-positive. Katie Robbert – 21:27 But look how fast it is! Look how cool it is! Christopher S. Penn – 21:36 It is cool. Katie Robbert – 21:38 Going back to the original question about MCP—I read a post this morning about agentic marketing systems using MCP and how it’s going to change the way you do SEO. It said it’s going to optimize your content, optimize for competitors, find keywords—all of which sounds really cool. But the way it was presented was like, Oh, duh, why am I not already doing this? I’m falling behind if I’m not letting the machines do my SEO for me and building these systems for my clients. This conversation has already made me feel better about where I am in terms of understanding and execution. Going back to—you still have to have those foundational pieces. Because agentic AI, MCPs, generative AI, shiny objects—it’s all just software development. Christopher S. Penn – 22:59 Exactly. It’s all software development. We’ve just gotten used to writing in natural language instead of code. The challenge with shiny objects is that the people promoting them correctly say, This is what’s possible. But at a certain point, even with agentic AI and MCP automations, it’s more efficient to go back to classical programming. N8N doesn’t scale as well as Python code. In the same way, a 3D printer is cool for making one thing at home, but if you want to make 10,000, classical injection molding is the way to go. New technology doesn’t solve old problems. Katie Robbert – 23:47 And yet, it’s going to happen. Well, I know we’re wrapping up this episode. This has been incredibly helpful and educational for me because every week there’s a new term, a new thing we’re being asked to wrap our heads around. As long as we can keep going back to It’s just software development, you still need the foundation, then I think myself and a lot of other people at my skill level are going to be like, Whew, okay, I can still breathe this week. I don’t have to panic just yet. Christopher S. Penn – 24:23 That said, at some point, we are going to have to make a training course on a system like N8N and workflow automation because it’s so valuable for the boring stuff—like keyword selection in SEO. Stay tuned for that. The best place to stay tuned for announcements from us is our free Slack group, Trust Insights AI Analytics for Marketers, where you and nearly 5,000 marketers are asking and answering each other’s questions every day about data science, analytics, and AI. Wherever you watch or listen to the show, if there’s a channel you’d rather have it on, go to trustinsights.ai/tipodcast to find us at all the places fine podcasts are served. Thanks for tuning in—I’ll talk to you on the next one! (Transcript ends with AI training permission notice.) Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

Returning from Google Cloud Next, Paul and Mike are back with some major AI updates. They kick things off with ChatGPT's new memory feature and unpack what that means for you. Then it's onto Shopify's leaked memo: no new hires until AI proves it can't do the job. Databox takes that even further by replacing 80% of its support team with a bot, and actually boosts performance. Plus, Sam Altman gets grilled at TED, Apple's AI efforts fall flat, and Paul shares what it was like inside the Sphere for Google's Wizard of Oz AI experience.  Access the show notes and show links here Timestamps: 00:03:38 — ChatGPT Memory 00:13:59 — Shopify CEO's Leaked “AI First” Memo 00:20:20 — Databox Replaces 80% of Support Team with AI 00:28:25 — Google Cloud Next ‘25 and Google Updates 00:36:44 — OpenAI Will Release o3 and o4-mini After All 00:41:07 — Sam Altman Comments at TED 00:50:15 — OpenAI Pioneers Program 00:53:00 — OpenAI Reduces Model Safety Testing Time 00:57:07 — Llama 4 Release and Controversy 01:00:45 — AI Copyright and Creator Rights 01:05:52 — Anthropic $200 Per Month Subscription 01:08:43 — Behind the Scenes of Apple's AI Failures 01:12:26 — Writer Releases AI HQ 01:16:07 — Ex-OpenAI CTO's Startup Making Big Moves 01:20:29 — Deep Research's Impact on Agencies 01:25:41 — Listener Questions Visit our website Receive our weekly newsletter Join our community: Slack LinkedIn Twitter Instagram Facebook Looking for content and resources? Register for a free webinar Come to our next Marketing AI Conference Enroll in our AI Academy 

00:00 - Transformative Technologies: Navigating Google's Cloud and AI Landscape02:00 - Google Cloud Next 2025: Analyzing Revenue and Market Position04:48 - Analyzing Cloud Services: Insights from the ETR Survey08:53 - Google's Growth in AI/ML11:26 - Analyzing Growth and Revenue in Cloud Services16:54 - Profitability and Operating Margin19:39 - Strategic Capital Allocation and Competitive Edge Analysis23:05 - Data Stack and Industry Partnerships26:42 - Conclusion and Closing

"Is this Armageddon or just another Monday morning?" That's the question on everyone's mind as the tech world grapples with a whirlwind of AI hype, market volatility, and geopolitical maneuvering. Patrick Moorhead and Daniel Newman deliver their unfiltered perspectives on what's really happening. This week, they explore a handpicked selection of topics that go straight to the heart of the matter, including:   Google Cloud Next & Enterprise AI: A look at Google Cloud's announcements from Next 2025, and the company's efforts to differentiate itself through solutions like the Ironwood platform and its approach to enabling enterprise AI adoption.   Apple's Challenges with Tariffs: Analysis of Apple's vulnerability to US-China trade tensions and manufacturing relocation difficulties.   A Market in Turmoil: The conversation delves into the recent market downturn, exploring the complex interplay of trade wars, economic uncertainty, and investor sentiment.   The Tariff Tango: Is Trump's tariff strategy a 4D chess masterclass or a dangerous game of roulette? The hosts debate the potential consequences for the US economy and its global trading relationships.   Big Tech's Balancing Act: Amidst the chaos, the long-term outlook for tech giants like the MAG7 is examined, considering their resilience, growth potential, and ability to capitalize on AI-driven efficiencies. For a deeper dive into each topic, please click on the links above. Be sure to subscribe to The Six Five Pod so you never miss an episode.  

Hello Las Vegas — we've arrived for Google Cloud Next 2025!Arthur C. Clarke's third law, "Any sufficiently advanced technology is indistinguishable from magic"Hot drop coming through! The #CloudRealities podcast team has landed in electric Las Vegas—and you know what they say: what happens in Vegas normally stays in Vegas... but in this case, we're bringing 8 incredible conversations in the coming days with inspiring guests who are shaping the future of cloud, data, and AI.On the last day, we have two separate episodes lined up to explore how AI is affecting the macro scale and impacting leadership transformation.In this conversation, Dave, Esmee, and Rob talk with Gina Fratarcangeli, Managing Director, NA GSI Leader at Google Cloud about The shifting landscape of Digital and AI technologies among Fortune 500 companies.TLDR00:20 Introduction of Gina Fratarcangeli03:20 Key announcements from the Google Cloud Next Keynote05:56 Main conversation with Gina Fratarcangeli about Fortune 500 companies and their journey towards digital transformation and AI22:01 Who's your favorite magician?GuestGina Fratarcangeli: https://www.linkedin.com/in/gina-fratarcangeli/ HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/'Cloud Realities' is an original podcast from Capgemini

Hello Las Vegas — we've arrived for Google Cloud Next 2025!Arthur C. Clarke's third law, "Any sufficiently advanced technology is indistinguishable from magic"Hot drop coming through! The #CloudRealities podcast team has landed in electric Las Vegas—and you know what they say: what happens in Vegas normally stays in Vegas... but in this case, we're bringing 8 incredible conversations in the coming days with inspiring guests who are shaping the future of cloud, data, and AI.On the last day, we have two separate episodes lined up to explore how AI is affecting the macro scale and impacting leadership transformation.In the last conversation of the event, Dave, Andy, and Rob talk with  Lee Moore, VP Global Google Cloud Consulting at Google Cloud about Leading Cloud Transformation with Strategic Vision.TLDR00:50 Introduction of Lee Moore07:00 Final key announcements from the Google Cloud Next Keynote11:05 Main conversation with Lee Moore about cloud and AI-driven transformation and Intentional leadership 36:31 Who's your favorite magician and tying all the magic together of a fantastic week!!GuestLee Moore: https://www.linkedin.com/in/lee-t-moore/HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Guest host Andy Appleby: https://www.linkedin.com/in/andyapplebycapgeminiglobalinfrastructureservices/ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/'Cloud Realities' is an original podcast from Capgemini

En compagnie de Jérôme Colombain, on revient sur l'événement Google Cloud Next de Las Vegas. On parle du plan européen pour construire des centres de données souverains et simplifier l'AI Act. Et on termine avec la course humanoïde à Pékin.

Google Cloud Next was all about one thing: agents. Google officially backed the Model Context Protocol (MCP) for tool use and introduced a new Agent-to-Agent (A2A) communication standard to make multi-agent systems easier to build.Get Ad Free AI Daily Brief: ⁠⁠⁠⁠⁠https://patreon.com/AIDailyBrief⁠⁠⁠⁠⁠Brought to you by:KPMG – Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://kpmg.com/ai⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more about how KPMG can help you drive value with our AI solutions.Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlw⁠⁠Plumb - The Automation Platform for AI Experts - ⁠⁠https://useplumb.com/nlw⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠https://besuper.ai/ ⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Subscribe to the newsletter: https://aidailybrief.beehiiv.com/Join our Discord: https://bit.ly/aibreakdown

Join Simtheory: https://simtheory.ai--Get the official Simtheory hat: https://simulationtheory.ai/689e11b3-d488-4238-b9b6-82aded04fbe6---CHAPTERS:00:00 - The Wrong Pendant?02:34 - Agent2Agent Protocol, What is It? Implications and Future Agents48:43 - Agent Development Kit (ADK)57:50 - AI Agents Marketplace by Google Cloud1:00:46 - Firebase Studio is very broken...1:06:30 - Vibing with AI for everything.. not just vibe code1:15:10 - Gemini 2.5 Flash, Live API and Veo21:17:45 - Is Llama 4 a flop?1:27:25 - Grok 3 API Released without vision priced like Sonnet 3.7---Thanks for listening and your support!

Just wrapped up a whirlwind tour, giving a workshop in Atlanta and then attending Google Cloud Next. B2b nonstop action, and I'm glad to home for a bit.While at Next, I had a conversation with another tech old timer friend. We talked about how much we're having using AI as a coding assistant. I'm having fun coming up with wild stuff and seeing if it's possible to build with code. AI's made coding fun again!------------------

Hello Las Vegas — we've arrived for Google Cloud Next 2025!Hot drop coming through! The #CloudRealities podcast team has landed in electric Las Vegas—and you know what they say: what happens in Vegas normally stays in Vegas... but in this case, we're bringing 8 incredible conversations in the coming days with inspiring guests who are shaping the future of cloud, data, and AI.On the second day, we have three separate episodes lined up to deep dive into industries such as insurance, telecom, and retail, all linked to GenAI, data, and innovation.In this conversation, Dave, Andy, and Rob talk with Jen Hawes-Hewitt, Head of Global Solution Partner Programs, Global Telecom Industry at Google Cloud about Accelerating Innovation in Telecom with AI and GenAI.TLDR01:04 Introduction of Jen Hawes-Hewitt and guest host Andy Appleby04:06 Key announcements from the Google Cloud Next Keynote09:39 Main conversation with Jen Hawes-Hewitt31:58 Who's your favorite magician?GuestJen Hawes-Hewitt: https://www.linkedin.com/in/jenhaweshewitt/HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Guest host Andy Appleby: https://www.linkedin.com/in/andyapplebycapgeminiglobalinfrastructureservices/ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/'Cloud Realities' is an original podcast from Capgemini

Hello Las Vegas — we've arrived for Google Cloud Next 2025!Arthur C. Clarke's third law, "Any sufficiently advanced technology is indistinguishable from magic"Hot drop coming through! The #CloudRealities podcast team has landed in electric Las Vegas—and you know what they say: what happens in Vegas normally stays in Vegas... but in this case, we're bringing 8 incredible conversations in the coming days with inspiring guests who are shaping the future of cloud, data, and AI.On the second day, we have three separate episodes lined up to deep dive into industries such as insurance, telecom, and retail, all linked to GenAI, data, and innovation.In this conversation, Dave, Esmee, and Rob talk with Kapil Dabi, America's Director & Market Lead, Retail at Google Cloud about Unlocking Retail Potential with AI and Data. TLDR00:24 Introduction of Kapil Dabi03:00 Key announcements from the Google Cloud Next Keynote and Retail market strategies09:50 Main conversation with Kapil Dabi about how to unlock retail potential with AI and Data26:10 Who's your favorite magician?GuestKapil Dabi: https://www.linkedin.com/in/kapildabi/HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/'Cloud Realities' is an original podcast from Capgemini

Hello Las Vegas — we've arrived for Google Cloud Next 2025!Arthur C. Clarke's third law, "Any sufficiently advanced technology is indistinguishable from magic"Hot drop coming through! The #CloudRealities podcast team has landed in electric Las Vegas—and you know what they say: what happens in Vegas normally stays in Vegas... but in this case, we're bringing 8 incredible conversations in the coming days with inspiring guests who are shaping the future of cloud, data, and AI.On the second day, we have three separate episodes lined up to deep dive into industries such as insurance, telecom, and retail, all linked to AI, data, and innovation.In this conversation, Dave, Esmee, and Rob talk with Meg Tucker, Director of Insurance at Google Cloud about Fueling Insurance Evolution with AI.TLDR00:26 Introduction of Meg Tucker02:36 Key announcements from the Google Cloud Next Keynote07:26 Main conversation with Meg Tucker about the Insurance Evolution based on AI29:30 Who's your favorite magician?GuestMeg Tucker: https://www.linkedin.com/in/megtuckerla/HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/'Cloud Realities' is an original podcast from Capgemini

IBM z17 is here! In episode 50 of Mixture of Experts, host Tim Hwang is joined by Kate Soule, Shobhit Varshney and Hillery Hunter to debrief the launch of a new mainframe with robust AI infrastructure. Next, Meta dropped Llama 4 over the weekend;, how's it going? Then, Shobhit is recording live from Google Cloud Next in Las Vegas, along with Gemini 2.5 Pro. What are some of the most exciting announcements? Finally, the Pew Research Center shows perception of AI, how does this impact the industry? All that and more on today's 50th Mixture of Experts. 00:01 -- Intro 00:55 -- IBM z17 11:42 -- Llama 4 25:02 -- Google Cloud Next 2025 34:29 -- Pew's research on perception of AI The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Explore the new features of IBM z17: https://www.ibm.com/products/z17 Read the Pew Research: https://www.pewresearch.org/internet/2025/04/03/how-the-us-public-and-ai-experts-view-artificial-intelligence/ Subscribe for AI updates: https://ibm.biz/Think_newsletter Visit Mixture of Experts podcast page to learn more AI content: https://www.ibm.com/think/podcasts/mixture-of-experts

Las Vegas has been taken over by Google Cloud this week, with Google Cloud Next 2025 in full flow. There have already been a number of headline grabbing announcements: we've seen the launch of a powerful new AI accelerator chip by the name of Ironwood, huge updates to Google Cloud's security capabilities, and new agentic AI development kits for enterprises. But there's been much, much more on top.In this episode, Ross Kelly, news and analysis editor at ITPro, speaks to Rory about Google Cloud's messaging at its annual conference and what the mood on the ground is at Google Cloud Next 2025.Read more:Google Cloud Next 2025: All the live updates from the day two keynoteGoogle Cloud wants to tackle cyber complexity – here's how it plans to do itGoogle Cloud announces major computing boost with Ironwood chip, new hypercomputer upgradesForeign AI model launches may have improved trust in US AI developers, says Mandiant CTO – as he warns Chinese cyber attacks are at an “unprecedented level”Google shakes off tariff concerns to push on with $75 billion AI spending plans – but analysts warn rising infrastructure costs will send cloud prices sky highGoogle Cloud Next 2025 is the hyperscaler's chance to sell itself as the all-in-one AI platform for enterprises

Dozens of AI updates.

Hello Las Vegas — we've arrived for Google Cloud Next 2025!Arthur C. Clarke's third law, "Any sufficiently advanced technology is indistinguishable from magic"Hot drop coming through! The #CloudRealities podcast team has landed in electric Las Vegas—and you know what they say: what happens in Vegas normally stays in Vegas... but in this case, we're bringing 8 incredible conversations in the coming days with inspiring guests who are shaping the future of cloud, data, and AI.On the first day, we have 3 separate episodes lined up to discuss Google AI strategy & vision, practical implementations, and exciting use cases.Dave, Esmee, and Rob kick off with Saurabh Tiwary, VP, General Manager, Cloud AI at Google Cloud, about Leading AI Innovation for Enterprise Solutions, to solve complex enterprise challenges and deliver true business value.TLDR00:22 We're back in Vegas, here's what to expect in the coming days01:43 Introduction of Saurabh Tiwary and the David Copperfield show05:14 Discussion on Google Cloud Next themes this week with special guest James Goeders, Head of Product, Google Quantum AI12:10 Main conversation on Cloud AI with Saurabh Tiwary37:28 Who's your favorite magician?GuestSaurabh Tiwary: https://www.linkedin.com/in/saurabh-tiwary/ HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/'Cloud Realities' is an original podcast from Capgemini

Hello Las Vegas — we've arrived for Google Cloud Next 2025!Arthur C. Clarke's third law, "Any sufficiently advanced technology is indistinguishable from magic"Hot drop coming through! The Cloud Realities podcast team has landed in electric Las Vegas—and you know what they say: what happens in Vegas normally stays in Vegas... but in this case, we're bringing 8 incredible conversations in the coming days with inspiring Google guests who are shaping the future of cloud, data, and AI.On the first day, we have 3 separate episodes lined up to discuss Google AI strategy & vision, practical implementations, and exciting use cases.In the second conversation, Dave, Esmee, and Rob, talk with Charlotte Gistelinck, Machine Learning / AI Partner Engineer at Google, on how strategic thinking and visioning in AI/ML are key to driving innovation and long-term success.TLDR00:24 Introduction of Charlotte Gistelinck 04:12 Key announcements from the Google Cloud Next Keynote 07:17 Main conversation with Charlotte about Strategic Thinking and Visioning in AI  37:14 Who's your favorite magician?GuestCharlotte Gistelinck: https://www.linkedin.com/in/charlottegistelinck/HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/'Cloud Realities' is an original podcast from Capgemini

Hello Las Vegas — we've arrived for Google Cloud Next 2025!Arthur C. Clarke's third law, "Any sufficiently advanced technology is indistinguishable from magic"Hot drop coming through! The #CloudRealities podcast team has landed in electric Las Vegas—and you know what they say: what happens in Vegas normally stays in Vegas... but in this case, we're bringing 8 incredible conversations in the coming days with inspiring guests who are shaping the future of cloud, data, and AI.On the first day, we have 3 separate episodes lined up to discuss Google AI strategy & vision, practical implementations, and exciting use cases.In the third conversation, Dave, Esmee, and Rob talk with Jim Anderson, VP, NA Partner Ecosystem & Channels at Google, on how customers are using Cloud, AI/ML, and Data Analytics to power digital transformation. From real-world success stories to the trends shaping the year ahead—this one's packed with actionable insights.TLDR00:23 Introduction of Jim Anderson04:17 Key announcements from the Google Cloud Next Keynote06:44 Main conversation with Jim Anderson about Driving Digital Transformation with Customers 24:50 Who's your favorite magician?GuestJim Anderson: https://www.linkedin.com/in/jimmya/HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/'Cloud Realities' is an original podcast from Capgemini

Das ist das KI-Update vom 10.04.2025 unter anderem mit diesen Themen: KI-News von Googles "Cloud Next" Konferenz Wordpress bringt neues KI-Tool zur Webseitenerstellung Wie KI in Arztpraxen und Kliniken zum Einsatz kommt und US-Regierung lässt angeblich KI intern nach Trump-Kritik fahnden Links zu allen Themen der heutigen Folge findet Ihr hier: https://heise.de/-10346991 https://www.heise.de/thema/KI-Update https://pro.heise.de/ki/ https://www.heise.de/newsletter/anmeldung.html?id=ki-update https://www.heise.de/thema/Kuenstliche-Intelligenz https://the-decoder.de/ https://www.heiseplus.de/podcast https://www.ct.de/ki

Host Chris Adams sits down with James Hall, Head of GreenOps at Greenpixie, to explore the evolving discipline of GreenOps—applying operational practices to reduce the environmental impact of cloud computing. They discuss how Greenpixie helps organizations make informed sustainability decisions using certified carbon data, the challenges of scaling cloud carbon measurement, and why transparency and relevance are just as crucial as accuracy. They also discuss using financial cost as a proxy for carbon, the need for standardization through initiatives like FOCUS, and growing interest in water usage metrics.

Nvidiasecured a temporary reprieve on AI chip export restrictions to China by pledging US investment. Samsung announced its Gemini-powered Ballie home robot, while OpenAI countersued Elon Musk amid escalating tensions. Anthropic introduced tiered subscriptions for its Claude AI assistant, mirroring a trend in AI service pricing. Google made significant announcements at its Cloud Next event, including new AI accelerator chips and protocols for AI agent collaboration, while also facing reports of paying staff to remain inactive and seeing its Trillium TPU unveiled. Finally, regulatory discussions continued with the reintroduction of the NO FAKES Act to address deepfakes, and a courtroom incident highlighted the complexities of AI in legal settings, alongside Vapi's platform launch for custom AI voice assistant development.

Deirdre Bosa sits down with Google Cloud CEO Thomas Kurian to talk the announcements coming out of Google Cloud Next and how the tech giant could leverage AI to navigate tariff uncertainty roiling the market.

Deirdre Bosa sat down with Google Cloud CEO Thomas Kurian to talk the announcements coming out of Google Cloud Next, and how the tech giant could leverage AI to navigate tariff uncertainty roiling the market.

What is Google Agentspace? Find out on this Cloud and Clear episode with SADA's Kelly Wright. Director of Workspace, and Veronica Raulin, Senior Director, Advisory! We're discussing how Google Agentspace uses AI and Google Search to simplify complex tasks and connect your data. Plus, get a Google Cloud Next 2025 preview and learn about SADA's Proof of Value. Join us for more content by liking, sharing, and subscribing!