Podcasts about google cloud next

Full show notes and transcript  - https://bit.ly/google-agentic-eraWatch on YouTube - https://youtu.be/eamMBmm6oTU-----Episode Summary:Dara and Matthew open with a breaking-news bulletin on Anthropic's newly released Fable, the consumer sibling to Mythos, covering its safety off-ramp to Opus 4.8, its pricing, and the looming switch from subscription to usage-based access. The main episode is a deep dive on Google Cloud Next '26 and I/O '26, unpacking the Gemini Enterprise Agent Platform, Gemini 3.5 Flash, Omni, Antigravity 2.0, WebMCP, and the shift to generative AI search. The thread running through it all: agents are the headline, but governance and a solid semantic layer are the subplot that makes them actually useful.-----About The Measure Pod:The Measure Pod is your go-to fortnightly podcast hosted by seasoned analytics pros. Join Dara Fitzgerald (Co-Founder at Measurelab) & Matthew Hooson (Head of Engineering at Measurelab) as they dive into the world of data, analytics and measurement, with a side of fun.-----If you liked this episode, don't forget to subscribe to The Measure Pod on your favourite podcast platform and leave us a review. Let's make sense of the analytics industry together!

Wie hat dir die Folge gefallen?Gut

AI conversations are everywhere, but what stood out to me in my chat with Harmeen Mehta from Equinix at Google Cloud Next '26 was how grounded their approach is. They did not start with big external announcements. They started inside.Harmeen shared a simple idea. If AI is going to change how a company works, it has to show up in how employees work first. Not as a side experiment, but as part of daily workflows. That shift is what moved AI from a pilot to something core to the business.At Equinix, AI is not sitting on the edges. It is being used to remove real friction from day-to-day work. Helping teams move faster, reduce repetitive tasks, and focus on higher value problems. That is where the impact starts to become real.But what stood out even more was how they approached trust.Employee hesitation is real. Questions around accuracy, reliability, and job impact come up quickly. Instead of ignoring that, they leaned into it. Clear use cases, transparency, and gradual rollout made a big difference in adoption.The biggest takeaway from this conversation was simple.Do not try to scale AI before you make it work internally.If your own teams are not using it, trusting it, and seeing value from it, scaling it across the business will not work.And looking ahead, the shift is already happening. Not years from now, but right now. AI is starting to change how work gets done inside enterprises, one workflow at a time.#data #ai #equinix #security #googlecloudnext #api #google #theravitshow

Just wrapped a great conversation with Woon Ho Jung, CTO - Cloud Native, Commvault, at Google Cloud Next 2026 and this one hit a nerve. Everyone is talking about multi-cloud, AI pipelines, and scaling data.But almost no one is talking about what's quietly breaking underneath it all. Data protection. We got into what's really happening inside enterprises today.Teams assume replication and retention policies are enough. They're not.At scale, across billions of objects, things get messy fast. Gaps show up where you least expect them.That's where the big announcement comes in. Clumio is going deeper with Google Cloud. Clumio for GCP is not just another backup solution. It's a rethink of how you protect cloud-native data, especially inside Google Cloud Storage where most AI and analytics pipelines live today.What stood out to me:- Protecting data at massive scale is still an unsolved problem for many teamsNative tools give a false sense of security- Resilience in the AI era needs a completely different approachIf you're building on Google Cloud right now, this is something you need to pay attention to. This is not about backup. This is about trust in your data layer.#data #ai #commvault #security #googlecloudnext #api #google #theravitshow

AI sounds exciting… until you actually try to use it inside a company. That was my biggest takeaway from my conversation with Michael Fasulo from Commvault at Google Cloud Next '26 on The Ravit Show.Everyone wants AI, but when it comes to real deployment, things break. Data is messy, systems are disconnected, and trust is missing. The gap is not ambition, it is readiness.One line that stayed with me. If your data is compromised, your AI is compromised.And with agentic AI, it gets even more real. These systems are not just answering anymore, they are taking actions. That means mistakes can have real impact.My takeaway is simple.The companies that win will not be the ones trying the most AI. They will be the ones fixing their data and putting the right guardrails in place first.#data #ai #commvault #security #googlecloudnext #api #google #theravitshow

Everyone is talking about AI agents, but after my conversation with Ben Kus, CTO at Box at Google Cloud Next 2026 on The Ravit Show, one thing became very clear. Agents are useless without "context". #boxpartnerBen kept coming back to that word. Not just data, not just models, but context. In an enterprise setting, context means understanding the full picture around your data. Who created it, where it lives, who can access it, and how it should be used. Most companies already have massive amounts of content, but it is fragmented and static, and that is the real problem.What stood out is how Box is approaching this. They are not just storing enterprise content, they are structuring it in a way that AI agents can actually use, turning content into something agents can reason on, not just retrieve. And this is where the partnership with Google Cloud comes in. With models like Gemini and platforms like Vertex AI, they are able to operationalize that context at scale in real workflows.The biggest takeaway for me was simple. If you want to become AI-first with agents, do not start with the agent. Start with your data. Structure it, govern it, and make it usable. That is what actually makes AI work.#data #ai #box #security #googlecloudnext #api #google #theravitshow

AI agents sound exciting. But my conversation with A. Ravi M., CIO at Box at Google Cloud Next '26 on The Ravit Show was not about excitement.It was about risk. We are moving from AI that answers to AI that acts. And that shift introduces a completely new set of challenges. Not just accuracy, but control, access, and accountability. Ravi pointed out that most enterprises are not struggling with AI capability. They are struggling with governance. Who has access to what data, what an agent is allowed to do, and how you track those actions. Those gaps become very real once agents start operating on sensitive enterprise content.And that is where security needs to evolve. It is no longer enough to protect data at rest. You have to think about how AI agents interact with that data in real time, and what guardrails are in place when they take action.The partnership with Google Cloud plays a big role here. With platforms like Vertex AI and BigQuery, the focus is not just on building agents, but on building them with the right controls and visibility from day one.The biggest takeaway for me was simple. If you are a CIO thinking about AI agents, do not start with deployment. Start with trust. Because without that, none of this scales.#data #ai #box #security #googlecloudnext #api #google #theravitshow

AI infrastructure conversations usually stay very technical. But my chat with , Santosh Erram, VP Partnerships DDN at Google Cloud Next '26 on The Ravit Show went in a different direction.He kept bringing it back to one thing. Business value. Yes, compute is growing. Yes, GPUs are everywhere. But that is not the real bottleneck anymore. Data is. If you cannot move it fast, access it easily, and actually use it, your AI investment does not translate into outcomes.What stood out was how fast things are moving. Their partnership with Google Cloud went from idea to launch in under six months. And now they are pushing things like 10 terabytes per second performance and hybrid tiering to meet real enterprise demands.But the real proof was in the use cases.- Salesforce pushing GPU utilization from around 48% to over 90%.- Resemble AI driving cost savings.- Sony Honda Mobility using it for autonomous driving.Even financial firms bursting massive workloads into the cloud, hitting petabyte scale in a single day. This is not experimentation anymore. We are moving from AI pilots to real production. And the shift from training to inferencing is going to define the next phase. My biggest takeaway. AI is no longer limited by models. It is limited by how fast and how well you can work with your data.#data #ai #ddn #infrastructure #googlecloudnext #api #google #theravitshow

AI is moving fast, but after my conversation with Alex Bouzari, Co-Founder and CEO at DDN, at Google Cloud Next '26, one thing became clear.The bottleneck is no longer the model.It is the infrastructure behind it. Alex broke it down in a very real way. Today's AI systems are powerful, but the way data moves through them is still inefficient. You train these large models, but when it comes to actually running them at scale, things slow down. Latency increases, costs go up, and performance becomes unpredictable.That is what is broken.He shared how this shows up in real scenarios. When enterprises deploy AI, especially with large models, they struggle with speed and consistency. It is not that the model cannot perform, it is that the infrastructure cannot keep up with the demand.At Next, DDN focused on solving exactly this. Building what Alex called a new foundation for AI, designed for high-performance workloads where data access and speed matter just as much as the model itself.One concept that stood out was KV cache.It sounds technical, but the idea is simple. Instead of recomputing everything every time a model runs, you reuse key pieces of information. That reduces latency and makes systems faster and more efficient. In large-scale AI systems, that becomes a big deal.The bigger shift here is clear.We are moving from experimenting with AI to operationalizing it at scale. And that means infrastructure is becoming the deciding factor.What makes DDN different is their focus on this layer. Not just enabling AI, but making sure it actually performs in real-world environments.My takeaway. The future of AI will not just be defined by better models. It will be defined by better infrastructure.#data #ai #ddn #infrastructure #googlecloudnext #api #google #theravitshow

JetBrains is positioning itself as the last major independent AI coding-tool vendor in a market increasingly tied to hyperscalers and foundation model labs. Speaking at Google Cloud Next, JetBrains VP of business developmentMikhail Vink argued that competitors such as Microsoft Copilot, Anysphere Cursor, and Windsurfare all tied to either AI labs or cloud providers. By contrast, JetBrains says its independence allows customers to switch freely between models fromOpenAI,Anthropic, andGoogle Cloudwithout being locked into one ecosystem. That flexibility underpins JetBrains' broader AI strategy. Rather than building its own foundation model, the company is focusing on orchestration and governance through JetBrains Central, announced in March as a management layer for AI agents, usage controls, analytics, and consumption-based billing. Vink said the company's profitability, 16 million users, and 300,000 commercial customers from its long-running IDE business have allowed it to remain venture-free and model-neutral. JetBrains argues that as developers increasingly swap between AI models, neutrality may become more valuable than owning the models themselves. Learn more from The New Stack around the latest in AI coding-tools:  JetBrains ‘Agentic' AI Agent Helps Automate Coding Tasks JetBrains: AI agents are about to repeat the cloud ROI crisis  JetBrains names the debt AI agents leave behind Join our community of newsletter subscribers to stay on top of the news and at the top of your game. 

Wie hat dir die Folge gefallen?Gut

“Google Cloud Next - nudno jak nie wiem co.” Szymon o 260 ogłoszeniach, w których słowo agent pada częściej niż litera D. Rebranding Vertexa w Gemini Enterprise Agent Platform brzmi jak generator nazw na pełnych obrotach, ale pod marketingowym szumem są konkrety: TPU Gen 8 z natywnym PyTorch bez przerabiania kodu (“po latach zrozumieli, że nie każdy jest Googlem”) i Apache Iceberg do query'owania danych z innych cloudów.

At Google Cloud Next 2026, Fivetran Chief Product Officer Anjan Kundavaram argued that enterprise data systems are unprepared for the scale of AI-driven analytics. Unlike humans, AI agents can generate exponentially more queries, often routing them through the same expensive compute infrastructure. Kundavaram compared it to “using a Lamborghini to mow the lawn.” To address this, Fivetran introduced its “Open Data Infrastructure” vision and a benchmark designed to expose hidden AI workload costs in closed ecosystems. Kundavaram said agents can optimize for cost instead of speed, choosing cheaper compute engines when appropriate — but only in open architectures with multiple options. Closed systems force every query through high-cost paths. He also warned that fragmented data and weak context create a “triple whammy” of poor AI responses, soaring analytics bills, and wasted compute. While many organizations respond by tightening controls, Kundavaram argued the better path is investing in open infrastructure, interoperability, and strong semantic data practices before AI costs spiral further.   Learn more from The New Stack around the latest in enterprise data systems:  Enterprise AI Success Demands Real-Time Data Platforms AI Agents Are Morphing Into the 'Enterprise Operating System' Join our community of newsletter subscribers to stay on top of the news and at the top of your game. 

At Google Cloud Next in Las Vegas, I sat down with Granville Valentine to talk about one of the biggest shifts happening in business technology right now, the move from isolated AI experiments to orchestrated, production-scale agentic systems. Granville leads Google Cloud's AI Go-to-Market organization across North America, working directly with major enterprises on adopting Gemini, customer experience AI, and multi-agent workflows. That puts him right at the center of how businesses are actually deploying AI in the real world, and where many are still getting stuck. In this conversation, we explore why so many companies discovered in 2025 that standalone chatbots were failing to deliver measurable ROI, and how orchestration-based AI systems are changing that. Granville explains why the future belongs to multi-agent workflows built around business outcomes rather than technology demos, with different agents collaborating around customer experience, commerce, upselling, support, and personalization. We also discuss the rise of proactive "digital concierges" that unify search, commerce, maps, personalization, and customer service into a single intelligent journey rather than the fragmented app experiences consumers are used to today. Granville shares practical examples from companies like The Home Depot and explains how businesses are using Gemini Enterprise for Customer Experience to create more natural and effective customer interactions. Another major theme in this episode is data. We explore how cross-cloud connectivity and universal context engines are helping organizations query data across multiple cloud environments without moving everything into a single platform first, dramatically reducing friction for companies trying to build agentic workforces. The conversation also touches on generative media, from video and image creation to interactive shopping experiences, and how businesses are using these tools to drive real engagement, customer retention, and revenue growth rather than simply producing flashy content. Most importantly, this episode cuts through the hype and focuses on execution. Granville explains why businesses need to stop thinking about AI as a standalone feature and start thinking about it as an operating model built around outcomes, experimentation, and continuous learning. Are businesses finally ready to move from AI experimentation to the agentic enterprise? Please check the partners of the Tech Tech Talks Network Learn more about the NordLayer Browser Visit Denodo.com

At Google Cloud Next 2026, Finout co-founder and CEO Roi Ravhon and Google Cloud FinOps lead Pathik Sharma discussed how FinOps is rapidly evolving for the AI era. Ravhon argued that while cloud FinOps had a decade to mature, AI economics are forcing the industry to adapt within a year. Unlike traditional cloud workloads, AI costs are unpredictable because token usage varies even for identical prompts, while advanced reasoning models consume significantly more tokens despite falling prices. Both emphasized that effective AI FinOps requires intelligent orchestration, routing workloads to the cheapest capable models instead of defaulting to expensive frontier models. Sharma noted that AI costs extend beyond APIs to GPUs, storage, training, and organizational adoption. They also cautioned against relying solely on LLMs for operational automation. Deterministic systems, observability metrics, and human approvals remain essential guardrails. Ultimately, both stressed that FinOps is primarily an organizational and cultural discipline, recommending newcomers start with the FinOps Foundation before investing in tools. Learn more from The New Stack around the latest in FinOps:  Why FinOps Isn't About Saving Money  FinOps Foundation's FOCUS 1.2 Expands to SaaS, PaaS  Join our community of newsletter subscribers to stay on top of the news and at the top of your game.   

What happens when AI moves beyond experimentation and becomes part of the creative process itself? At Google Cloud Next in Las Vegas, I sat down with Albert Lai to explore how AI is transforming the media and entertainment industry from content creation and production to personalization, localization, and audience engagement. Albert works across Google Cloud, Google, and the wider Alphabet ecosystem to help media organizations rethink how they create and distribute content using cloud infrastructure, multimodal AI, and agentic workflows. And one thing became very clear in this conversation, the industry has moved beyond asking "What if?" and is now firmly focused on production-scale execution and measurable business outcomes. We discuss why media companies are fighting a growing battle for audience attention, and how AI is helping them create content more efficiently while also unlocking the value hidden inside vast archives of existing material. Albert explains why the conversation has shifted from simply producing more content to maximizing what already exists, and how AI is helping organizations rediscover and reimagine decades of footage, audio, and intellectual property. The conversation also explores one of the biggest themes emerging at both Google Cloud Next and NAB Show, the rise of agentic AI workflows. Albert shares how media companies are using orchestrated AI systems to streamline complex production processes, support editors and creators inside existing workflows, and improve everything from localization and dubbing to monetization and personalization. We also dive into real-world examples, including how companies like Avid Technology are integrating Google AI directly into production environments, and how Indonesian media company MTech used Google Cloud AI tools to create and distribute a 26-episode animated series with measurable improvements in production speed, cost efficiency, and audience engagement. This is not a conversation about replacing creativity. It is about augmenting it. If you work in media, content, streaming, sports, publishing, or simply want to understand how AI is changing storytelling itself, this episode is packed with practical insight and real-world examples. How will AI change the stories we create, and the way audiences experience them? Useful Links Connect with Albert, Lai Google Cloud Next 26 Please check the partners of the Tech Tech Talks Network Learn more about the NordLayer Browser Visit Denodo.com

In the final episode of our three‑part series recorded at Google Cloud NEXT in Las Vegas, produced in partnership with Kyndryl, we bring together leaders from travel, QSR, retail, payments and cloud services to explore how AI is being deployed at scale inside some of the world's most complex organisations. Host Russell Goldsmith spoke with: 1/ Alibek Datbayev, Engineering Manager AI Platforms, Booking.com 2/ David Faircloth, VP - Technology Architecture & Engineering, Wendy's 3/ Helder Ribeiro, Chief Digital Officer, Sonae MC 4/ Govindaraj Palanisamy, Principal Enterprise Architect, Data, AI & Innovation, Global Payments 5/ Jason McKay, Chief Solutions Officer, Rapidscale Alibek Datbayev, Engineering Manager for AI Platforms at Booking.com, shares how the company is building reliable agentic systems on top of Google's ecosystem, why Gemini's grounding in Maps and Search is uniquely powerful for travel, and how Booking.com is moving from prototypes to production with rigorous evaluation, governance and safety. He also highlights the next frontier: multi‑agent orchestration for end‑to‑end travel experiences. David Faircloth, VP of Technology Architecture & Engineering at Wendy's, explains how the company achieved 99.95% availability by focusing first on people, trust and organisational design before technology. David discusses Conway's Law, platform engineering, and why AI is “not the future, it's the present,” with success defined by frictionless crew experiences, reliable systems and better customer journeys. Helder Ribeiro, Chief Digital Officer at Sonae MC, describes how the retailer is building an AI‑driven migration factory to modernise infrastructure, reduce costs and accelerate product delivery. Helder outlines how AI is used across training, refactoring, spend optimisation and productivity, and why becoming an AI‑first company requires strong foundations, intentional design and a clear focus on speed, efficiency and customer experience. Govindaraj Palanisamy, Principal Enterprise Architect for Data, AI & Innovation at Global Payments, discusses how the company manages a vast, multi‑organisation database fleet and how AI agents will transform DBA workflows. He breaks down the three biggest barriers between pilot and production: trustworthy data, grounding, and governance - and explains why regulated industries must “shift governance left” to scale AI safely. Finally, Jason McKay, Chief Solutions Officer at RapidScale, closes the episode with a candid view on enterprise AI adoption. He highlights the gap between AI ambition and data reality, why day‑zero conversations are always about AI but day‑one conversations are always about data, and how organisations can move from optimism to operational readiness. A wide‑ranging, insight‑rich finale that captures the real state of enterprise AI in 2026.

Guests: No guests  Topics: So what have we seen at Google Cloud Next 2026? Any closing loops for our 2023-2025 Cloud Next observations? We are seeing that AI security is not an island ... what does that tell us about the difference between cloud and AI adoption? What does  "ragged edge of AI adoption" mean for security? Why do people want agents in their SOC? Do they know what gets better? What are the most notable and fun announcements? With patching speed, are we looking at something which can be overcome by engineering and courage? Or are we looking at something that is truly an impossibility?  Resources: Video version EP221 Special - Semi-Live from Google Cloud Next 2025: AI, Agents, Security ... Cloud? Next '26: Redefining security for the AI era with Google Cloud and Wiz Breaking the Patch Sound Barrier: Your Vulnerability Remediation Will Not Keep Up With AI Exploit Speed. So? EP169 Google Cloud Next 2024 Recap: Is Cloud an Island, So Much AI, Bots in SecOps Defending Your Enterprise When AI Models Can Find Vulnerabilities Faster Than Ever EP137 Next 2023 Special: Conference Recap - AI, Cloud, Security, Magical Hallway Conversations 260 things we announced at Google Cloud Next '26 – a recap

The second of three episodes recorded at Google Cloud NEXT, Las Vegas in partnership with Kyndryl where we explore how enterprises are moving from AI experimentation to real, scaled impact, across infrastructure, applications, customer experience and workforce transformation. Host Russell Goldsmith was joined by: 1/ Anshu Kak, Global Vice President Google Cloud, Kyndryl 2/ Rajiv Batra, Director, Head of GSI Partnerships, Google 3/ Kieren Johnson, Head of IT, Ocado Retail 4/ Kimberly Agin, Head of Business Performance and Enablement, KeyBank 5/ Mauro Flores, EVP of Data Democratisation, Virgin Media O2 6/ Ryan Henry, Director, Infrastructure and Support, Randstad US Anshu Kak, Global Vice President, Google Cloud at Kyndryl, and Rajiv Batra, Director & Head of GSI Partnerships at Google, open the episode with a deep dive into the shift from “trying AI” to building agentic operating systems. They explain how Google and Kyndryl's joint plays, innovate, modernise, secure, help enterprises adopt agentic AI frameworks, modernise VMware and mainframe estates, and navigate sovereignty with Google Distributed Cloud. Kieren Johnson, Head of IT at Ocado Retail, reflects on his panel about hyper‑personalised CX. He shares why personalisation at scale requires sensitivity to human behaviour, including the unexpected discovery that drivers preferred speaking to human advisors over voice bots. Kimberly Agin, Head of Business Performance & Enablement at KeyBank, discusses how the bank has built the foundations for agentic CX in the contact centre. She outlines how human and non‑human agents work in tandem, how KeyBank uses data to contain 70% of digital queries, and why natural‑language routing is transforming the IVR experience. Mauro Flores, EVP of Data Democratisation at Virgin Media O2, explains how the organisation is using AI to unlock value from its vast data estate, accelerate decision‑making and empower teams with self‑serve insights. Ryan Henry, Director of Infrastructure & Support at Randstad US, brings a workforce‑technology perspective, sharing how agentic AI is reshaping talent operations, support models and employee experience. A rich, fast‑moving episode capturing how global enterprises are modernising infrastructure, rethinking customer engagement, and preparing their people and platforms for the agentic AI era.

What happens when your financial advisor is no longer limited by time, availability, or even geography, but is always there when you need them, ready to listen, respond, and guide you in real time? At Citi's announcement at Google Cloud Next 2026, I sat down with Joe Bonanno, Head of Wealth Intelligence, and Karolina Belwal, Global Head of Data Intelligence and Automation for Citi Wealth, to unpack what could become a defining shift in how wealth management is delivered. The launch of Citi Sky, built in partnership with Google Cloud and powered by Google DeepMind, is not another digital feature layered onto an existing app. It signals a move toward an always-on, conversational, and highly personalized experience that blends human expertise with AI-driven intelligence. What stood out in our conversation was how grounded this initiative is in real-world client behavior. Joe explained how traditional engagement models, whether phone calls, emails, or app notifications, often feel disconnected from what clients actually need in the moment. Life events, changing market conditions, and personal priorities rarely align with scheduled interactions. Citi Sky attempts to close that gap by being present at the exact moment a client has a question, whether that is late at night, between meetings, or during a moment of financial uncertainty. Karolina brought that point to life with a simple but relatable example. As a working parent, she highlighted how difficult it can be to connect with an advisor during the day. Citi Sky allows clients to engage on their own terms, asking questions when it suits them, in a way that feels natural and responsive. That shift from scheduled interaction to on-demand conversation could change how people think about financial guidance altogether. Under the hood, the technology is just as ambitious. Built on Gemini models through Google's enterprise agent platform, Citi Sky combines real-time voice, video, and multilingual capabilities into a single experience. But what makes it interesting is how it moves beyond reacting to questions. The system can anticipate needs, surface insights, and even guide advisors by identifying which clients may require attention during market events. In Joe's words, it becomes a teammate, one that can scale expertise across hundreds of clients while maintaining a sense of personalization. There is also a broader implication here for the industry. Wealth management has long relied on relationships built over time, supported by human intuition and experience. Citi is not replacing that model, but it is extending it. Advisors are still central, yet their reach is amplified by AI that handles routine interactions, summarizes conversations, and provides context before the next client meeting even begins. Of course, this raises familiar questions around trust, governance, and the role of AI in financial decision-making. Citi is clearly aware of that tension, emphasizing secure data foundations, regulatory compliance, and the importance of embedding its Chief Investment Office's institutional knowledge directly into the system. This is not positioned as a generic AI assistant, but as a reflection of Citi's own expertise, delivered through a new interface. What I found most compelling, though, was how both Joe and Karolina kept returning to the human side of the story. Yes, this is about agentic AI and advanced models. Still, it is also about reducing friction, improving access, and helping people answer a simple but powerful question: Am I financially okay? As Citi Sky rolls out to Citigold clients in the U.S., it will be fascinating to see how customers respond and how competitors react. If this model gains traction, it could reshape expectations far beyond wealth management and into every corner of financial services. As we move into the next phase of AI-driven client engagement, are we ready to trust a system that listens, understands, and acts on our financial lives in real time, and how much of that responsibility are we willing to share? Useful Links Learn More About Citi Sky, the AI-Powered Member of the Citi Wealth Team. Connect with Joseph V. Bonanno Jr. Connect with Karolina Belwal Please check the partners of the Tech Tech Talks Network Learn more about the NordLayer Browser Visit Denodo.com

The first of three episodes recorded at Google Cloud NEXT, Las Vegas in partnership with Kyndryl, the world's largest IT infrastructure services provider Host Russell Goldsmith was joined by: 1/ Kris Lovejoy, Global Head of Strategy, Kyndryl 2/ Vincenzo Forciniti, AI Adoption and Data Platform Leader, Fastweb & Vodafone 3/ Adrian Tatsch, VP AI Technology & Innovation, Equifax 4/ Patrick Bobrukiewicz, VP Data Services, Thrive Restaurant Group 5/ Kaapro Kanto, VP, Cybersecurity & Digital Platforms, DNA 6/ Brad Duff-Hudkins, VP Data Analytics, Next After Each of our guests offered a grounded, real‑world view of AI adoption at scale. The episode opens with Kris Lovejoy, Global Head of Strategy at Kyndryl, who outlines why digital sovereignty, geopolitical risk and regulatory pressure are reshaping enterprise architecture. She also breaks down the guardrails required for employee productivity tools versus mission‑critical agentic systems and why modernisation itself has become a security control. Next, Vincenzo Forciniti, AI Adoption & Data Platform Leader at Fastweb and Vodafone Italia, discusses the data‑unification challenges following Fastweb's acquisition of Vodafone Italia. He shares how the team built a shared data catalogue, why change management is often harder than technology, and how modernising legacy stacks is enabling scaled AI across SDLC optimisation, operations and customer‑facing processes. We then hear from Adrian Tatsch, VP of AI Technology & Innovation at Equifax, who explains how the company is connecting APIs to AI agents using Apigee MCP, and how Equifax's multi‑billion‑dollar cloud transformation has accelerated AI maturity. Adrian explains how Equifax is redefining human vs. non‑human work, upskilling, and measuring ROI across the organisation. Patrick Bobrukiewicz, VP of Data Services at Thrive Restaurant Group, shares a hospitality‑sector perspective on AI adoption. Kaapro Kanto, VP, Cybersecurity & Digital Platforms, DNA explains how DNA moved from traditional network operations to AI‑driven SecOps, enabling small businesses to benefit from enterprise‑grade detection, automation and response, and why the biggest barrier to AI maturity is shifting from pilot experiments to trusted, scalable operational models. And finally Brad Duff‑Hudkins, VP of Data Analytics at NextAfter, explains how his team used Google's data engineering agents to cut onboarding time from 2–3 weeks to just 72 hours, and why agentic AI is already unlocking faster, more personalised, more scalable data operations for lean teams. A fast, insight‑rich episode capturing the reality of AI transformation inside complex global enterprises, from security and sovereignty to data foundations, workflow automation and the future of human‑machine collaboration.

At Google Cloud Next in Las Vegas, Bob Evans sat down with Karen Dahut, CEO of Google Public Sector, to discuss how AI, security, and open cloud strategies are reshaping government services. Dahut shared how Google Public Sector was built on the belief that government agencies deserve the same advanced commercial technologies as private enterprises, and why that decision is now proving critical in the era of agentic AI. AI Reinvents Government The Big Themes: Commercial Cloud for Government: Karen Dahut explained that when Thomas Kurian became CEO of Google Cloud in 2019, he challenged the outdated assumption that public sector organizations should receive different or lesser technology than private enterprises. Instead of building a separate, restricted GovCloud environment, Google chose to accredit its full commercial cloud for government use. This gave agencies access to the same scalability, resiliency, and innovation cycles as Fortune 100 companies. That decision is especially important now because AI workloads demand enormous scale. Leadership Makes AI Real: Technology alone does not create transformation — leadership does. Dahut highlighted examples from the FDA, Department of Transportation, and the City of Los Angeles, where visionary leaders are actively driving AI adoption rather than waiting for change to happen. These executives are not simply buying software; they are rethinking how agencies operate, from transportation systems to drug discovery to citizen services. Dahut stressed that real AI success requires courage, education, and enablement alongside strong technology. Open Cloud Is Responsible Government: Dahut strongly argued that openness is not optional in public sector technology, it is the only responsible approach. Governments operate with decades of legacy systems, massive backlogs of information, and multimodal data spread across many environments. Forcing all of that data into one cloud platform would be expensive, slow, and ultimately harmful. Google's approach is to leave the data where it already exists and analyze it there, avoiding costly ingress and egress fees and preventing vendor lock-in. The Big Quote: “AI and agentic AI is truly going to be one of those technologies that we look back on 10, 15 years from now and say that was truly the most transformational piece of technology since the transistor.” More from Karen Dahut and Google Cloud: Connect with Karen on LinkedIn or learn more about Google Cloud Public Sector. Visit Cloud Wars for more.

A inteligência artificial está passando por uma mudança importante: além de responder perguntas, ela começa a executar tarefas no dia a dia. Durante o Google Cloud Next, principal evento global da empresa voltado à computação em nuvem e IA, esse movimento ganhou destaque com o avanço de soluções capazes de agir com base em comandos e contexto, indo além dos tradicionais chatbots. Na prática, isso significa uma integração maior da tecnologia em atividades cotidianas, como organização de informações, criação de conteúdos e apoio a decisões dentro das empresas. Neste episódio do Podcast Canaltech, a conversa é com Fernanda Jolo, líder de Engenharia de Clientes para Inteligência Artificial no Google Cloud, e Mikaeri Ohana, especialista em Engenharia de Clientes na empresa. Direto da cobertura do evento em Las Vegas, elas explicam como essa nova fase da IA já começa a sair do conceito e ganhar espaço no dia a dia, além de comentar como empresas têm adotado essas soluções e quais caminhos estão sendo explorados. Você também vai conferir: Spotify agora quer ser seu app de treino, projeto pode mudar fiscalização por radar no Brasil e Toyota lança cadeira gamer de R$ 20 mil. Este podcast foi roteirizado e apresentado por Fernanda Santos e contou com reportagens de João Melo, Danielle Cassita e Raphael Giannotti, sob coordenação de Anaísa Catucci. A trilha sonora é de Guilherme Zomer, a edição de Jully Cruz e a arte da capa é de Erick Teixeira.See omnystudio.com/listener for privacy information.

刚刚结束的 Google Cloud Next 大会创下历届新高，这期节目，我们也带着第一手的现场观察回来：Google Cloud CEO Thomas Kurian 在 Keynote 上说出 「the era of the pilot is over, the era of the agent is here」。我们今年最强烈的感受之一就是「One Google」的战略，在其它厂商都在拼模型的时候，Google 几乎没怎么聊模型，而是在传达自己整合底层算力到上层应用野心。 大会的另一个主题是「落地」：当模型的能力早已远远跑在企业实际能用上的能力前面，落地的瓶颈不在技术，而是要克服将 AI 嵌入到现有工作流中的挑战与摩擦。自动化的 Multi-agent 系统已经在哪些场景落地？Agent 落地的安全问题要如何解决？当大厂把全栈一层层往上吃，创业公司还有没有机会？我们今天的节目就带来来自拉斯维加斯的一手观察。 本期人物 丁教 Diane，「声动活泼」联合创始人、「科技早知道」主播 Yaxian，「科技早知道」主播 主要话题 [00:00] 32000 人挤爆拉斯维加斯：Google Cloud Next 已经不是 ToB 大会了 [02:47] 去年大家在问 「怎样打造一个 agent」，今年已经在做 agent 的系统化管理 [04:48] One Google：从算力到应用打通的全栈策略 [10:33] TPU 第一次拆分训练和推理：AI 工作负载已经精细到这种程度 [13:25] 「Pilot 时代结束了，Agent时代真正到来」，Google 内部 75% 的新代码已由 AI 生成 [17:07] 「Problem First 」mindset：从写代码到描述问题，开发者的工作变了 [22:54] 落地比技术更难：Capability overhang 才是今年行业的真问题 [28:20] Agentic Defense 与 「龙虾热」：Agent 的安全困局 [30:31] 全栈是双刃剑：什么都做的反面是什么都不深 [32:00] 创业公司的出路：Service as a software，Day one 全球化收费 [38:00] 李飞飞：不要老问AI 来了人的瓶颈是什么，多聊聊人的机会是什么 「Knock Knock 世界」 英国国防部门请「科幻作家」来写小说，这背后是什么原因？收听链接

The AI arms race is shifting from apps to infrastructure, devices, and pricing models.On this week's Tech Field Day News Rundown, Alastair Cooke is joined by guest co-host Guy Currier to break down the IT news of the week with a variable degree of snark. Google unveils its Virgo network, a massive AI backbone built to connect over 100,000 chips and push scale to a new level, while the Federal Communications Commission expands WiFi and hotspot rules, signaling long-term changes for power users and home networking.Meanwhile, OpenAI is exploring an AI-first smartphone that could replace traditional apps with persistent agents. GitHub shifts Copilot to usage-based pricing, reflecting the real cost of AI at scale, as Qlik pushes further into agent-driven analytics and automation.On the security side, Microsoft integrates Claude Mythos into its development lifecycle to catch vulnerabilities earlier. This and more on the Tech Field Day News Rundown with Alastair Cooke and Guy Currier. Time Stamps: 0:00 - Cold Open0:22 - Welcome to the Tech Field Day News Rundown0:54 - Google Unveils Virgo Network to Power Next-Gen AI Infrastructure3:46 - FCC Expands WiFi Router Ban to Hotspots and 5G Devices6:55 - OpenAI Targets Smartphones with Bold AI-First Device Plan9:14 - GitHub Copilot Shifts to Usage-Based Pricing for AI13:09 - Qlik Expands AI-Powered Data Platform with Agentic Automation15:26 - Microsoft Integrates Anthropic Mythos AI to Strengthen Cybersecurity19:13 - Google Cloud Next 2026: AI Agents, TPUs, and Massive Growth25:24 - ⁠The Weeks Ahead: Upcoming Tech Field Day Events27:03 - Thanks for Watching the Tech Field Day News RundownTune in every Wednesday for the IT news of the week with a variable degree of snarkiness. Guest Host: ⁠Guy Currier⁠, Research Director for ⁠The Futurum Group⁠Follow our hosts ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tom Hollingsworth⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Alastair Cooke⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Stephen Foskett⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Follow Tech Field Day ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠on LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X/Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Bluesky⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mastodon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

How much of your working day is actually spent doing meaningful work, and how much is lost chasing emails, searching for documents, sitting in meetings, and trying to remember where that one important conversation happened? At Google Cloud Next in Las Vegas, I sat down with Yulie Kwon Kim, Vice President of Product for Google Workspace at Google, to talk about how AI is changing the way billions of people work every day. Yulie leads the products many of us rely on constantly, Gmail, Google Calendar, Drive, Docs, Sheets, Slides, and newer tools like Google Vids. At this year's event, she introduced Workspace Intelligence, a major step forward in how AI works inside those everyday tools. Instead of acting like a disconnected assistant, Workspace Intelligence understands your context across emails, meetings, files, and organizational knowledge to help create documents, prioritize inboxes, take meeting notes, and automate the repetitive work that quietly drains productivity. We explore what Workspace Intelligence actually is, how it differs from third-party AI tools, and why context matters just as much as model capability. Yulie explains why being a truly AI-first enterprise requires more than powerful models, it needs grounded context, governance, and security that people can trust. We also discuss one of the biggest concerns for business leaders: how to adopt AI without creating new risks around data security and access control. Yulie shares how Google approaches governance inside Workspace and why existing permissions and protections remain central to how AI operates. This conversation also touches on something bigger, the shift from individual productivity to shared organizational intelligence, where knowledge moves from living inside one person's head to becoming something the entire company can benefit from. If AI could remove one frustrating task from your workday tomorrow, what would you choose first? Useful Links Connect with Yulie Kwon Kim, Vice President of Product for Google Google Cloud Next 26 Visit the Sponsors of Tech Talks Network and learn more about the NordLayer Browser.

What happens when one of the world's most heavily regulated industries starts moving at AI speed? At Google Cloud Next in Las Vegas, I sat down with Sid Nadella, Director of Financial Services and Market Leader at Google Cloud, to talk about how AI is reshaping banking, wealth management, and capital markets from the inside out. With more than 20 years of financial services experience, including a long career at Goldman Sachs, Sid brings a rare perspective on how traditional institutions are balancing innovation with regulation, trust, and zero tolerance for error. We explore why the industry is moving beyond simple AI pilots and into what he calls the "doing era," where agentic AI is helping firms move from static dashboards and fragmented workflows toward intelligent systems that can reason, anticipate, and act in real time. Sid shares where he sees the biggest business impact today, from fraud detection and risk management to operational efficiency and unlocking new growth. We also discuss real-world examples from firms like Citi Wealth, Citadel, Scotiabank, and Starling Bank, and why the real opportunity lies in building the right foundations first: governance, compliance, observability, and strong data access across increasingly complex environments. We also tackle one of the biggest concerns around AI adoption, the fear that it replaces people. Sid explains why the real story is augmentation, helping teams remove repetitive work and focus on better decisions, stronger customer relationships, and higher-value outcomes. If you work in financial services, enterprise technology, or simply want to understand what agentic AI looks like beyond the headlines, this is a conversation packed with practical insight. How close is your organization to becoming truly agentic? Useful Links Connect with Sid Nadella, Director of Financial Services and Market Leader at Google Cloud. Google Cloud Next 26 Visit the Sponsors of Tech Talks Network and learn more about the NordLayer Browser.

Three major AI companies launched agent products in the same 48 hours. The announcements were confident. The questions enterprises actually have remained mostly unanswered. OpenAI dropped GPT-5.5 and Workspace Agents in ChatGPT. Google rebranded its entire enterprise AI stack as the Gemini Enterprise Agent Platform at Cloud Next '26. Microsoft made Copilot agentic across Office. Meta got caught planning to track employee keystrokes for AI training data and cut 10% of its workforce in the same breath. Plus Jeff Dean on AGI timelines, the SmarterX State of AI for Business report built in a day, Apple's CEO transition, and a full rapid-fire round. Show Notes: Access the show notes and show links here AI-Pulse Survey: Fill out this week's AI-Pulse Survey here. Timestamps: 00:00:00 — Intro 00:06:45 — GPT-5.5 Launches 00:17:28 — Workspace Agents in ChatGPT 00:27:13 — Agent Usage: Separating Fact from Fiction 00:46:31 — Google Cloud Next '26 00:55:07 — Meta's AI Employee Surveillance + Layoffs 01:03:46 — Apple Leadership Transition 01:09:59 — AI Use Case Spotlight 01:16:28 — AI Academy Spotlight 01:21:41 — AI Product and Funding Updates This week's episode is brought to you by MAICON, our 7th annual Marketing AI Conference, happening in Cleveland, Oct. 13-15. The code POD100 saves $100 on all pass types. For more information on MAICON and to register for this year's conference, visit www.MAICON.ai. Visit our website Receive our weekly newsletter Join our community: Slack Community LinkedIn Twitter Instagram Facebook YouTube Looking for content and resources? Register for a free webinar Come to our next Marketing AI Conference Enroll in our AI Academy 

OpenAI really releasemaxxed this past week.

Tim Cook passe la main à John Ternus • Anthropic et OpenAI jouent avec la peur autour de l'IA • Google et Microsoft installent des agents dans la bureautique • Mistral cherche sa voie face aux géants • Les robots humanoïdes impressionnent en Chine • Montréal mise sur les startups pour améliorer la mobilitéAvec Bruno Guglielminetti (Mon Carnet)===============Description détaillée===============Apple après Tim Cook (0:06)Nous revenons sur le départ annoncé de Tim Cook et l'arrivée de John Ternus à la tête d'Apple, un passage de relais qui remet le produit au centre du jeu. On analyse l'héritage de Cook, entre l'échec d'Apple Plans en 2012, le succès de l'Apple Watch et le virage stratégique d'Apple Silicon. À lire aussi sur Monde Numérique et sur Mon Carnet.Apple Intelligence et la dépendance à Google (4:02)Nous discutons du retard d'Apple en IA, mais aussi de ses atouts matériels pour faire tourner des modèles localement sur ses appareils. L'arrivée de services liés à Apple Intelligence avec l'appui potentiel de Google pose une question stratégique : partenariat temporaire ou vraie dépendance technologique ?Anthropic Mythos, entre cybersécurité et marketing de la peur (9:34)Nous décryptons le cas Anthropic et son modèle Mythos, présenté comme extrêmement puissant pour détecter des failles dans du code, y compris des vulnérabilités inédites. L'outil peut renforcer la défense informatique, mais il nourrit aussi les inquiétudes s'il tombait entre de mauvaises mains. Nous soulignons surtout la stratégie de communication anxiogène de certains acteurs de l'IA.OpenAI et la protection des données sensibles (15:32)Nous évoquons le lancement d'un filtre de confidentialité par OpenAI, destiné à empêcher l'aspiration de données sensibles dans les usages professionnels de l'IA. Ce type d'outil apparaît indispensable dans les organisations, même s'il arrive tardivement au regard de la généralisation des assistants génératifs.Google Workspace et Microsoft 365 passent à l'ère des agents (17:31)Nous revenons sur les annonces de Google Cloud Next et sur l'offensive parallèle de Microsoft 365 autour de Copilot. Les agents IA s'installent dans les outils de travail pour rédiger, assister, automatiser et même imiter le style de l'utilisateur. Nous restons prudents sur leur usage réel, car ces outils peuvent vite échapper au contrôle si l'on ne les teste pas dans un environnement sécurisé.Mistral, xAI et le casse-tête de la souveraineté (23:11)Nous commentons les discussions supposées entre Mistral AI, xAI et Cursor, dans un contexte où l'entreprise française est devenue un symbole politique autant qu'un acteur technologique. Nous évoquons aussi l'hypothèse d'un recentrage vers le traitement de données à la manière de Palantir, avec un possible intérêt stratégique pour l'Europe.Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Las Vegas, you're officially on the record during Google Cloud Next 2026. The #RealitiesRemixed podcast team is back at GCN'26, recording live from the Strip, where bright lights collide with big ideas.This week, we're swapping roulette wheels for real talk, hosting live conversations with Google leaders who are redefining what's next across AI‑first enterprise transformation, agentic AI, data, sovereignty, security, and beyond.Expect sharp insights, bold opinions, and future‑shaping conversations, delivered straight from Las Vegas to your headphones. Dave, Rachel, and Rob discusse the highlights of Google Cloud Next 2026! TLDR00:24 – Introduction01:14 – Hang out: Progress from Google Cloud Next 2025 to Google Cloud Next 202608:15 – Dig in: Executive overview of this year's key themes31:38 – Closing remarksHostsDave Chapman:   https://www.linkedin.com/in/chapmandr/Rachel Belmonte:  https://www.linkedin.com/in/rachel-belmonte-63550358/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/ 'Realities Remixed' is an original podcast from Capgemini

Las Vegas, you're officially on the record during Google Cloud Next 2026. The #RealitiesRemixed podcast team is back at GCN'26, recording live from the Strip, where bright lights collide with big ideas.This week, we're swapping roulette wheels for real talk, hosting live conversations with Google leaders who are redefining what's next across AI‑first enterprise transformation, agentic AI, data, sovereignty, security, and beyond.Expect sharp insights, bold opinions, and future‑shaping conversations, delivered straight from Las Vegas to your headphones. Dave, Rachel, and Rob close out their conversation with Cliff Krimmel, Head of Customer Engineering for Banking at Google Cloud, diving into the changing stack and the rise of the agentic development platform. TLDR00:32 – Day 3 kicks off01:25 – Hang out: Travel-ready tips05:18 – Dig in: The Agentic Data Cloud09:00 – Conversation with Cliff Krimmel32:05 – Closing with burgers & hotdogs GuestCliff Krimmel: https://www.linkedin.com/in/ckrimmel/ HostsDave Chapman:   https://www.linkedin.com/in/chapmandr/Rachel Belmonte:  https://www.linkedin.com/in/rachel-belmonte-63550358/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/ 'Realities Remixed' is an original podcast from Capgemini

Patrick Moorhead and Daniel Newman break down a massive week in enterprise tech, from Google Cloud Next's full-stack AI push and Amazon's $100 billion Anthropic commitment, to Apple's leadership transition and Intel's long-awaited foundry validation courtesy of Elon Musk. The handpicked topics for this week are: Google Cloud Next 2026: Full-Stack AI and New TPUs — Google Cloud Next has cemented itself as the second-biggest AI event on the calendar, with Thomas Kurian declaring the proof-of-concept era over and enterprises now in full production mode with agents. Google unveiled two next-generation TPUs (the 8i for training and the 8t for high-throughput inference) and reinforced its full-stack differentiation from infrastructure through Gemini Enterprise Workspace. (The Decode) Google's Agentic Security and MCP Push — Google made a significant move into agentic security, combining Wiz and Mandiant into what Pat calls a sleeper announcement of the show. Google also committed to placing MCP servers across all of its data surfaces, meaning even non-Google platforms can tap into Google data without full lock-in. (The Decode) Google Distributed Cloud and On-Prem Agentic Orchestration — Google took the biggest first step Patrick has seen toward a true agentic orchestrator that spans on-prem enterprise and public cloud through progress on Google Distributed Cloud. No other company has yet attempted cross-environment agent coordination at this level. (The Decode) Amazon's $100 Billion Anthropic Commitment — Amazon formalized a commitment of up to $100 billion into Anthropic, including five gigawatts of Trainium capacity, making it the largest non-NVIDIA silicon commitment in history. Anthropic's valuation crossed $1 trillion just weeks after a $350 billion raise, a pace that has left even veteran analysts searching for new language. (The Decode) Adobe Summit 2026: Enterprise Agents and Jensen's Endorsement — Jensen Huang took the stage at Adobe Summit to deepen the NVIDIA-Adobe partnership, calling agentic workflows the new front end for SaaS rather than a replacement for it. Adobe reported $250 million in Firefly ARR and 45% quarter-over-quarter growth in agentic tool usage, yet the stock continued to disappoint investors expecting hypergrowth multiples. (The Decode) Apple's New CEO: John Ternus and Tim Cook's Legacy — Apple named John Ternus as its fourth CEO, closing the book on Tim Cook's 15-year tenure marked by custom silicon success, services expansion, and operational excellence, alongside misses in Vision Pro, the abandoned car project, and Siri's failure to become the AI front end it should have been. Ternus is a continuity hardware candidate, and the most consequential decision may prove to be keeping Johny Srouji over all of hardware. (The Decode) Intel Foundry: Elon Musk, TerraFab, and 14A Validation — One day before Intel's earnings print, Elon Musk publicly confirmed TeraFab will use Intel's 14A process, delivering the first verifiable public wafer commitment on that node. Intel then reported a 23% stock surge, 22% data center growth, and EPS of $0.29 against a $0.01 street consensus. (The Decode) The Flip: TSMC vs. Semiconductor Equipment Makers — Pat and Dan take hard opposing stances on who holds more power in the AI supply chain: TSMC with its control of over 90% of advanced AI silicon and irreplaceable process expertise, or the equipment oligopoly of ASML, Applied Materials, LAM, and KLA without whom no leading-edge fab can operate. The real answer, they conclude, is deep interdependence, though TSMC's combination of talent and leading-edge control gives it outsized leverage today. (The Flip) Intel — Intel's earnings were a blowout across the board, with data center up 22%, EPS of $0.29 versus a $0.01 estimate, and guide raised, driven by CPU price increases, customer pull-ins, and packaging volume growth. Hosts discuss whether the stock at current levels is pricing in foundry revenue that has barely begun to materialize on the tape. (Bulls and Bears) GE Vernova and Vertiv — GE Vernova posted a beat on revenue and EPS with orders up 71% organically and a $163 billion backlog, while Vertiv reported sales up 30% and raised forward guidance to $14 billion. Both companies reflect the acute power infrastructure demand tied to data center buildout, with Patrick noting their growth was likely already baked into share prices heading into the print. (Bulls and Bears) ServiceNow — ServiceNow beat across the board with a Rule of 57 growth result and AI run rate up to $1.5 billion, 50% above its prior target, though margin headwinds from three acquisitions and on-prem impacts from the Middle East conflict weighed on sentiment. Daniel argues the market has not yet accepted that workflow automation at enterprise scale will not be replaced by vibe-coded alternatives. (Bulls and Bears) IBM — IBM posted a triple beat with Red Hat up 13%, software up 11%, and Z mainframe up 48%, the latter driven in part by AI-assisted COBOL modernization tools making the platform newly relevant. The stock slid after hours despite the results, continuing a pattern Patrick describes simply as silly season for enterprise infrastructure names. (Bulls and Bears) SAP — SAP beat on revenue and earnings with cloud revenue up 19%, cloud backlog up 20%, and total backlog up 25%, reinforcing that enterprise ERP customers are not moving away from core platforms. Daniel and Patrick agree this is another data point showing enterprises are building AI on top of existing software stacks, not tearing them out. (Bulls and Bears) The Decode Google Cloud Next 2026 — TPU 8 Dual-Architecture and the Agentic Enterprise Stack https://cloud.google.com/blog/topics/google-cloud-next/welcome-to-google-cloud-next26 https://oplexa.com/google-cloud-next-2026/ https://www.itpro.com/cloud/cloud-computing/google-cloud-next-2026-googles-unique-advantages https://thenextweb.com/news/google-inference-chips-nvidia-challenge-supply-chain Amazon Commits Up to $25B More in Anthropic; $100B+ AWS Commitment in Return https://www.cnbc.com/2026/04/20/amazon-invest-up-to-25-billion-in-anthropic-part-of-ai-infrastructure.html https://www.nytimes.com/2026/04/20/technology/amazon-anthropic-investment.html https://www.geekwire.com/2026/amazon-doubles-down-on-anthropic-with-25b-investment-mirroring-its-openai-cloud-deal/ https://futurumgroup.com/insights/anthropics-gigawatt-scale-tpu-deal-with-broadcom-creates-a-structural-advantage/ Adobe Summit 2026 — CX Enterprise, Creative Agent, and Jensen Huang Onstage https://www.cxtoday.com/ai-automation-in-cx/adobe-summit-2026-cx-announcements/ https://www.cmswire.com/digital-experience/nvidia-ceo-jensen-huang-told-the-saas-world-agentic-is-here-adobe-was-listening/ https://www.techradar.com/pro/live/adobe-summit-2026 https://futurumgroup.com/insights/will-adobes-brand-visibility-solution-rewrite-the-rules-of-ai-driven-customer-experience/ https://www.linkedin.com/posts/patmoorhead_adobesummit-googlecloudnext-ai-activity-7451754772128514048-0BwK Apple CEO Transition — Tim Cook to Executive Chairman, John Ternus to CEO https://www.apple.com/newsroom/2026/04/tim-cook-to-become-apple-executive-chairman-john-ternus-to-become-apple-ceo/ https://www.facebook.com/HBR/posts/on-monday-april-20-2026-apple-announced-that-tim-cook-will-step-down-as-ceo-in-s/1324436846218173/ https://www.apple.com/newsroom/2026/03/introducing-apple-business-a-new-all-in-one-platform-for-businesses-of-all-sizes/ Intel Foundry Lands Tesla for Terafab on 14A — First External 14A Customer, and a Direct Shot at the TSMC Bottleneck https://www.reuters.com/business/autos-transportation/tesla-ceo-musk-says-company-plans-use-intels-14a-process-terafab-2026-04-22/ https://www.trendforce.com/news/2026/04/23/news-intel-tapped-as-tesla-wins-first-14a-customer-spot-in-terafab-push/ https://www.benzinga.com/markets/equities/26/04/51992031/musk-bets-on-intels-14a-process-tesla-stock-falls-on-capex-plans https://www.cnbc.com/2026/04/23/intel-earnings-q1-2026.html The Flip Who has more power in the AI chip supply chain — TSMC (the fabricator) or the equipment companies (ASML, Applied Materials, Lam, KLA)? FOR: TSMC is the single choke point for every leading-edge AI chip in production https://www.cnbc.com/2026/04/16/taiwan-semi-tsm-asml-stock-earnings-ai-chips.html TSMC's pricing power shows up directly in its gross margins — and customer behavior https://leverageshares.com/en-eu/insights/why-asml-and-tsmcs-q1-2026-results-didnt-stir-markets/ TSMC is now a systems integrator — CoWoS packaging is the real moat, not just lithography https://sterlites.com/blog/ai-supply-chain-2026-tsmc-asml-asic AGAINST: ASML is the single point of failure for every advanced node on the planet  https://sterlites.com/blog/ai-supply-chain-2026-tsmc-asml-asic Applied Materials, Lam Research, and KLA control the etch, deposition, and metrology steps every fab needs https://finance.yahoo.com/markets/stocks/articles/dear-lam-research-investors-mark-154010553.html The equipment oligopoly has better margin structure and less concentration risk than TSMC https://www.cnbc.com/2026/04/16/taiwan-semi-tsm-asml-stock-earnings-ai-chips.html Bulls & Bears Intel Q1 2026 — Huge Beat and Q2 Guide Raise; Data Center +22%, Stock +16% After Hours https://www.cnbc.com/2026/04/23/intel-earnings-q1-2026.html https://seekingalpha.com/news/4578382-intel-q1-2026-beat-guidance-raise-stock-surges https://www.nasdaq.com/articles/intel-reports-net-loss-q1-2026 Veritiv & GE Vernova Q1 2026 — AI Power Trade Reports a Massive Beat https://www.investing.com/equities/ge-vernova-llc-earnings https://www.techi.com/ge-vernova-vertiv-ai-data-center/ ServiceNow Q1 2026 — Strong Beat and Raise, But Middle East Deal Delays Crater the Stock https://newsroom.servicenow.com/press-releases/details/2026/ServiceNow-Reports-First-Quarter-2026-Financial-Results/default.aspx https://www.cnbc.com/2026/04/22/servicenow-now-earnings-q1-2026.html https://www.businessinsider.com/servicenow-ceo-dismisses-ai-threats-parlor-tricks-2026-4 IBM Q1 2026 — Beat on Top and Bottom; Mainframe Surge, Guidance Unchanged Sends Stock Lower https://www.streetinsider.com/PRNewswire/IBM+RELEASES+FIRST-QUARTER+RESULTS/26351381.html https://www.briefs.co/news/ibm-q1-2026-earnings-guidance/ https://seekingalpha.com/news/4578381-ibm-signals-5-percent-2026-revenue-growth-and-about-1b-higher-free-cash-flow-while-keeping https://www.barrons.com/articles/software-stock-selloff-ibm-earnings-servicenow-salesforce-665a8f73 SAP Q1 2026 — Beat on Cloud; Backlog €21.9B (+25% cc), Operating Profit +17% https://www.prnewswire.com/news-releases/sap-quarterly-statement-q1-2026-302752280.html https://www.gurufocus.com/news/8813611/sap-se-sap-reports-strong-q1-earnings-with-revenue-growth https://www.globalbankingandfinance.com/sap-reports-17-rise-first-quarter-profit/ Want the full breakdown from the ground at Google Cloud Next? Check out our live coverage: https://www.sixfivemedia.com/our-events/google-cloud-next-2026 Be part of our community — hit that subscribe button and let us know if you'd like us to go back to Friday drops.  

This week, we discuss agents taking over at Google Cloud Next, Apple's new CEO, and Cursor getting acquired (sort of). Plus, Coté's e-waste has no exit strategy. Watch the YouTube Live Recording of Episode 569 Runner-up Titles I love throwing stuff in the trash. Dillo dirt's a thing. BurgerOps. Thomas opens for Richard. Department of “No” people Starfish Stomach Model Enterprise — come into me The Organization will Assimilate it Gold plaques all around He can let his freak flag fly Take the first billion dollar offer Rundown Google Next Welcome to Google Cloud Next26 Google's AI adoption — Steve Yegge X Post Tanzu Platform 10.4: a private cloud platform for AI harnesses (or, "agentic AI") Apple becomes a $4 Trillion under Tim Cook Cursor Watch Cursor in talks to raise $2B+ at $50B valuation as enterprise growth surges There's No Time for SpaceX to Buy Cursor SpaceX says it can buy Cursor later this year for $60 billion or pay $10 billion for 'our work together' Relevant to your Interests Poland street sees humanoid robot chasing boars in unusual AI showcase Someone planted backdoors in dozens of WordPress plug-ins used in thousands of websites Snapchat owner cuts 16% of global staff in latest round of job cuts Email for agents - Cloudflare Email Service now in public beta DeployBar — Free CI monitoring. Unsolicited platypus included. Let them tinker - hacking developer resistance to sound enterprise architecture and platforms China's DeepSeek is raising funds at $10 billion valuation, The Information reports Sources: Cursor in talks to raise $2B+ at $50B valuation as enterprise growth surges AI chipmaker Cerebras files to go public after scrapping IPO plans last year Amazon to invest up to $25B in Anthropic as part of expanded cloud partnership - SiliconANGLE Amazon to invest up to $25 billion more in Anthropic; Claude developer to spend more than $100 billion on AWS AI technology Amazon and Anthropic expand strategic collaboration Anthropic CPO leaves Figma's board after reports he will offer a competing product OpenAI loses multiple executives in latest leadership shakeup Scoop: NSA using Anthropic's Mythos despite Defense Department blacklist The scientific case for being nice to your chatbot Anthropic's redesigned Claude Code desktop app lets you burn through tokens even faster OpenAI's Codex Mac app adds three key features that go beyond agentic coding Introducing Claude Opus 4.7 Anthropic Sponsors WebRTC.ventures – Real-time communication & Voice AI integration WeAreDevelopers World Congress North America Sept 23–25, San José, CA Use Code DEVPOD26 — 15% off, stacks with group rates for 4+ Listener Feedback Subscribe to Failover New Nonsense Struggling shoe retailer Allbirds makes bizarre pivot from shoes to AI, stock explodes more than 700% Allbirds Stock Now Crashing as Reality Sets in About Its Delusional AI Pivot Conferences DevOpsDays Austin, May 5-6, 2026 DevOpsDays + AI Nashville, May 14-15, 2026 KCD Texas, May 15, 2026, use code MEDIA_THANK_YOU for free pass WeAreDevelopers Europe, July 8-10, 2026 Berlin, Coté speaking. DevOpsDays Graz, Sept 4-5, 2026 DevOpsDays Dallas, Sept 28-29, 2026 DevOpsDays Rockies, Sept. 22 – 23, 2026, Discount Code: 26DODSWEDEFTALK WeAreDevelopers NA, Sept 23-25, 2026, Discount Code: DEVPOD26 DevOpsDays Vilnius, Sep 30 - Oct 1. 2006 DevOpsDays Istanbul, October 24th, 2026 - Coté keynoting. VMware User Groups (VMUGs): Toronto (May 12-14, 2026) Dallas (June 9-11, 2026) Orlando (October 20-22, 2026) SDT News & Community Join our Slack community Email the show: questions@softwaredefinedtalk.com Free stickers: Email your address to stickers@softwaredefinedtalk.com Follow us on social media: Twitter, Threads, Mastodon, LinkedIn, BlueSky Watch us on: Twitch, YouTube, Instagram, TikTok Book offer: Use code SDT for $20 off "Digital WTF" by Coté Sponsor the show Sponsor more podcasts with Failover Media Recommendations Brandon: Claude /team-onboarding The Junior Dev Crisis: Who Inherits the Code When AI Does the Work Matt: Resident Alien Coté: and

Las Vegas may be known as the city of sin, but in the world of tech it's also the land of conferences. Taking over the Mandalay Bay resort this week was Google Cloud Next, Alphabet's chance to show off the latest in its cloud strategy and – naturally – AI tools.AI agents, in particular, have been a focus this year as Google Cloud looks to meet surging customer demand with infrastructure and software innovations for AI inference.What story has Google been looking to tell at the event? And what's the reality behind it?In this episode, Jane speaks to Rory about some of the key talking points at Google Cloud Next 2026.Read more:'The goal for this year will be to automate all security processes': Google Cloud is betting on Wiz to usher in a new era of AI securityGoogle expands Gemini Enterprise, consolidates Vertex AI services to simplify agent deploymentGoogle Cloud announces eighth-generation TPUs, boasting AI training and inference leapsGoogle Cloud Next 2026: all the live updates as they happenGoogle Cloud Next 2026 is a chance to demonstrate Google's unique advantages

Tech excitement builds around the Google Cloud Next conference, with Ian Tien talks about the developments he hopes to see. As AI progresses, he believes Alphabet (GOOGL) will benefit from a full suite of opportunities, ranging from its Broadcom (AVGO) TPU partnership to Google Gemini. Lisa Martin will have her eyes on AI agents, as she sees the innovation as the next critical step for the industry. Like Ian, Lisa expects Google to bolster a platform to ensure it stays self-sufficient in the AI race. ======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe 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

In this special episode of Cloud Wars Live from Google Cloud Next, Bob Evans speaks with Andi Gutmans about Google Cloud's newly announced Agentic Data Cloud and what it means for enterprise customers entering the AI-driven future. Gutmans explains how businesses must rethink data platforms for an era where autonomous agents, not just people, need instant access to trusted enterprise knowledge. The New Data Foundation The Big Themes: The Agentic Data Cloud Is a Reinvention: Google Cloud is not simply rebranding its existing Data Cloud, it is fundamentally redesigning it for the agentic AI era. Gutmans explains that data must evolve from being a passive repository into active business knowledge that agents can reason over. He describes this as moving from a “system of intelligence” to a “system of action.” The newly announced Agentic Data Cloud includes innovations across databases, analytics, storage, and governance so agents can securely access and act on enterprise information. Culture Matters More Than Technology: According to Gutmans, the organizations moving fastest are the ones embracing cultural transformation, not just deploying models on top of old systems. Companies succeeding in the agentic era are rethinking how their data platforms work and how employees engage with AI. Instead of treating agents as copilots, they view every employee as an orchestrator of agents. That mindset shift drives faster ROI because it creates readiness for change and willingness to innovate. Google's Vertical Stack Is a Major Advantage: Gutmans says that Google Cloud is uniquely positioned because it owns the entire stack: AI infrastructure, models, and the data platform itself. This allows what he calls “closed-loop innovation” between models and data systems, where improvements in one directly enhance the other. He says many people underestimate how important that relationship is because model reasoning must evolve alongside the platform serving enterprise data. Products like BigQuery, Spanner, and Gemini benefit from Google's decades of operating at massive scale, including multiple billion-user businesses. The Big Quote: "We're moving from this reactive, agentic experience to agents truly being autonomous, being able to drive outcomes for the business, and that's also now steering how we're thinking about the data cloud." More from Google Cloud: Learn more about what's new in the Agentic Data Cloud and security in the AI era. Visit Cloud Wars for more.

Las Vegas, you're officially on the record during Google Cloud Next 2026. The #RealitiesRemixed podcast team is back at GCN'26, recording live from the Strip, where bright lights collide with big ideas.This week, we're swapping roulette wheels for real talk, hosting live conversations with Google leaders who are redefining what's next across AI‑first enterprise transformation, agentic AI, data, sovereignty, security, and beyond.Expect sharp insights, bold opinions, and future‑shaping conversations, delivered straight from Las Vegas to your headphones. Dave, Rachel, and Rob continue their conversation with Gina Fratarcangeli, Managing Director and NA GSI Leader, exploring how partners are redefining their role, from funding models and board‑level conversations to shaping the agentic enterprise blueprint. TLDR00:24 – Day 2 kicks off!00:40 – Hangout: impressions from GCN '26 at the Mandalay Bay Convention Center and Dave denting his stuff05:26 – Dig in: What announcements our roving reporter spotted09:54 – Conversation with Gina Fratarcangeli32:41 – Texas brisket on paper BBQ GuestGina Fratarcangeli: https://www.linkedin.com/in/gina-fratarcangeli/ HostsDave Chapman:   https://www.linkedin.com/in/chapmandr/Rachel Belmonte:  https://www.linkedin.com/in/rachel-belmonte-63550358/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/ 'Realities Remixed' is an original podcast from Capgemini

Las Vegas, you're officially on the record during Google Cloud Next 2026. The #RealitiesRemixed podcast team is back at GCN'26, recording live from the Strip, where bright lights collide with big ideas.This week, we're swapping roulette wheels for real talk, hosting live conversations with Google leaders who are redefining what's next across AI‑first enterprise transformation, agentic AI, data, sovereignty, security, and beyond.Expect sharp insights, bold opinions, and future‑shaping conversations, delivered straight from Las Vegas to your headphones. Dave, Rachel, and Rob continue their conversation with Khulan Davaajav, Product Marketing Manager, Generative Media Models at Google about the rise of creative AI and how it's redefining human expression in the age of intelligent tools. TLDR00:24 – Day 2 on it's way!00:40 – Hangout: Producer distracted and Rob's red eye03:31 – Highlights: Roving reporter's media related announcements07:16 – Conversation with Khulan Davaajav34:24– Mongolian BBQ GuestKhulan Davaajav: https://www.linkedin.com/in/khulandav/ HostsDave Chapman:   https://www.linkedin.com/in/chapmandr/Rachel Belmonte:  https://www.linkedin.com/in/rachel-belmonte-63550358/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/ 'Realities Remixed' is an original podcast from Capgemini

Ross Gerber, President and CEO of Gerber Kawasaki, talks with TITV Host Akash Pasricha about Tesla's Q1 results, Elon Musk's depressing tone, and the mysterious $2 billion AI hardware deal. We also talk with The Information's Erin Woo about "agent sprawl" at Google Cloud Next and The Home Depot's struggle to automate workflows, and we get into the "SaaS apocalypse" and insurers dropping AI coverage with reporter Laura BrattonArticles discussed on this episode: https://www.theinformation.com/articles/berkshire-hathaway-chubb-win-approval-drop-ai-insurance-coverageSubscribe: YouTube: https://www.youtube.com/@theinformation The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agendaTITV airs weekdays on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Follow us:X: https://x.com/theinformationIG: https://www.instagram.com/theinformation/TikTok: https://www.tiktok.com/@titv.theinformationLinkedIn: https://www.linkedin.com/company/theinformation/

Wie hat dir die Folge gefallen?Gut

Las Vegas, you're officially on the record during Google Cloud Next 2026.The #RealitiesRemixed podcast team is back at GCN'26, recording live from the Strip, where bright lights collide with big ideas. This week, we're swapping roulette wheels for real talk, hosting live conversations with Google leaders who are redefining what's next across AI‑first enterprise transformation, agentic AI, data, sovereignty, security, and beyond. Expect sharp insights, bold opinions, and future‑shaping conversations, delivered straight from Las Vegas to your headphones.Dave, Rachel, and Rob kick off the event with Mark Steel, Director of Retail Industry, EMEA at Google Cloud, diving into the rise of Agentic Commerce and how AI agents are redefining the relationship between brands, retailers, and consumers.TLDR00:24 – Guest introduction and this week's key themes00:52 – Hangout: new podcast equipment and roving reporter Rachel Belmonte05:52 – Dig in: what to expect from Google's announcements11:41 – Conversation with Mark Steel39:10 – Favourite BBQ picks GuestMark Steel: https://www.linkedin.com/in/marksteel220/ HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Rachel Belmonte:  https://www.linkedin.com/in/rachel-belmonte-63550358/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/ 'Realities Remixed' is an original podcast from Capgemini

Las Vegas, you're officially on the record during Google Cloud Next 2026. The #RealitiesRemixed podcast team is back at GCN'26, recording live from the Strip, where bright lights collide with big ideas.This week, we're swapping roulette wheels for real talk, hosting live conversations with Google leaders who are redefining what's next across AI‑first enterprise transformation, agentic AI, data, sovereignty, security, and beyond.Expect sharp insights, bold opinions, and future‑shaping conversations, delivered straight from Las Vegas to your headphones. Dave, Rachel, and Rob continue the conversation with Dominic Cody, Global Director of Technology, Distributed Cloud, about the Sovereign Edge and reclaiming control in the age of Agentic AI. TLDR00:24 – Guest introduction and this week's key themes00:40 – Hangout: AI on the Expo floor and roving reporter Rachel Belmonte01:24– Dig in: what to expect from Google's announcements05:36– Conversation with Dominic Cody31:28 – Favourite BBQ picks GuestDominic Cody: https://www.linkedin.com/in/dominiccody/ HostsDave Chapman:   https://www.linkedin.com/in/chapmandr/Rachel Belmonte:  https://www.linkedin.com/in/rachel-belmonte-63550358/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/ 'Realities Remixed' is an original podcast from Capgemini

In this episode, we cover the significant AI developments shared by Google during Cloud Next. Discover how their multi-layer approach is set to change the tech arena.

In today's Cloud Wars Minute, I preview Google Cloud Next and share three bold predictions around AI security, sovereignty, and Gemini Enterprise. Highlights 00:03 — We've got Google Cloud Next coming up this week in Las Vegas. The world's number one cloud and AI provider is going to, no doubt, roll out a lot of interesting technologies, partnerships, go-to-market plans, and new ways for customers to thrive in the AI Economy. 00:31 — First, I think big launches around AI security. This has been a differentiator for Google Cloud in the whole run of the hyperscaler competition, and it's distinguished itself with Mandiant and threat intelligence capabilities. And it recently closed the acquisition of Wiz. So it's got some very good foundations there to build upon in AI security and sovereignty. 01:23 — Similarly, AI sovereignty is huge now, and it's only going to get bigger here in the AI Era, as data becomes more vital, privacy becomes more vital, security becomes more vital, and a lot of nations and regions are going to become even more specific in trying to say here's what's possible with the movement of not only data, but applications, where things have to be based. 02:08 — Too many technology vendors and customers were falling into a trap of thinking there's a false choice, you can either be fully compliant or grow aggressively. Google Cloud says that's a false choice and customers can do both. 03:43 — My prediction for the third big area is Gemini Enterprise, a breakthrough product with strong customer adoption, enabling companies to build agents and integrate AI into workflows at scale. Visit Cloud Wars for more.

Edtech ThrowdownEpisode 206: Google Vids vs Canva Video and WeVideoWelcome to the EdTech Throwdown. This is episode 206 called “Google Vids vs Canva Video and WeVideo” In this episode, we'll talk about a new-ish Google app called Google Vids and how it stacks up against other popular classroom video creation tools. This is another episode you don't want to miss. Check it out.Segment 1: What is Google Vids?Narrative: Have we ever solved the problem of fast and easy screencasts? A teacher asked me that this week and I realized I didn't have a great answer. ScreenPal has an extension, but the increased tools make it slower WeVideo has an extension, but it is clunky and not free Screencastify still exists, but have to pay after 10 videosReleased: Google Vids was first announced and released in preview during Google Cloud Next in April 2024, with a wider rollout to all Google Workspace users starting in November 2024 as an AI-powered video creation tool for work. What is it? It is a video editing platform that feels more like creating a Google Slide than a video editing platform. Is this a positive thing … not sure yet.Free Basic Version: All users get access to the web-based editor, allowing recording, importing clips, using templates, and basic editing. AI Extras (Paid): Advanced AI tools, such as AI-generated clips from prompts, AI avatars, and enhanced script/outline generation, require paid Google Workspace or AI plan subscriptions. What can it do?Screen records with or without webcamConverts slides to videoUpload your own photos and videos for editingHas video templates with title slides, animations, etc.Multiple layouts: landscape, portrait, squareHas stock audio from Youtube audio library - good music!Has most, if not all, typical video editing tools: playhead, video preview, splitting, multiple track editing, etc.Benefits:Integration: Works directly within...

The Model Context Protocol (MCP) specification has helped to accelerate access to a wide range of data sources for AI applications. But there are questions about the security and trust implications around a protocol that is still in its infancy. Scott Crawford and Justin Lam return to the podcast to examine the concerns that have been raised and changes that are underway in the specification with host Eric Hanselman. The previous episode introduced MCP and some of the market forces that are in play. Security considerations didn't appear to be fully sorted out in the first version of the specification, but more work is being done to move beyond the OAuth-based approach. Automating the data access process can be powerful, but also fraught with the potential for abuse.  The larger questions in MCP revolve around understanding risk and establishing trust. Data exposure has been a constant concern in AI, but the more complex issues exist in the integrity of the data that's being used. AI technology is moving forward rapidly and adversaries that are looking to compromise it and moving right along with these advances. More S&P Global Content: The 2025 Generative AI Outlook Next in Tech | Ep. 224: Context Around MCP For S&P Global Subscribers: Technology Primer: Model Context Protocol explained Databases and analytic services get the agentic AI treatment at Google Cloud Next 2025 IT Insider 3: A roundup for IT decision-makers Credits: Host/Author: Eric Hanselman  Guests: Scott Crawford, Justin Lam Producer/Editor: Adam Kovalsky Published With Assistance From: Sophie Carr, Feranmi Adeoshun, Kyra Smith

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  

Dozens of AI updates.