Podcasts about finops

Technology can scale almost everything—except human experience. In a world driven by efficiency, what does it mean to design for how people truly feel? It's about transforming user interactions into ongoing insight and innovation, rooted in empathy and understanding.  This week, Dave, Esmee and Rob talk to Kevin Magee, Chief Technology Officer at All human about helping organizations transform customer experiences with a focus on design, engineering, and what is called "digital performance."  TLDR:00:41 Introduction of Kevin Magee with Guinness or sparkling water?03:23 Rob wonders, is Apple really opening up its ecosystem?11:40 Deep dive with Kevin into design, engineering, and digital performance36:30 How tools built for one purpose can transform entire systems48:35 Weekend city breaks and pursuing a master's in psychology  GuestKevin Magee: https://www.linkedin.com/in/kevinmagee/ HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/ 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

The skills we teach today will decide the world we live in tomorrow but the digital skills gap is something we've been dealing with for decades, but it's growing faster than ever, it starts with kids and stretches all the way into late IT careers, and now we're finally taking a more connected, lifelong approach to closing it. This week, Dave, Esmee, and Rob speak with Mike Nayler, Director, National Security, Defense & Public Safety at AWS about the digital skills gap and explore how tech companies can help close it. TLDR:00:45 Introduction of Mike Nayler and the pros and cons of enterprise architects, based on a survey03:30 Rob is confused about AI replacing prompt engineers07:55 Conversation with Mike on the digital skills gap25:15 The real gap is between institutions and the people they aim to serve33:24 Mike heading back to school and writing essays againGuest Mike Nayler: https://www.linkedin.com/in/nayler/ HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/ 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

Quantum computing is closer than you think. Uncover strategies, talent challenges, and why long-term planning is essential for tomorrow's enterprise. 

Episode 46 Brad Payne: Integrating FinOps and Business Strategy Brad Payne, who leads the FinOps team at PointClickCare, shares how his team tackled cloud cost challenges not by jumping straight into optimization — but by focusing first on allocation and unit economics. That shift helped them uncover how cloud costs connected to specific products, customers, and revenue — sparking deeper collaboration with finance, pricing and packaging, and product teams. This resulted in FinOps moving beyond infrastructure to influence real business decisions.FinOps Certified: FinOps for AIBrad Payne | LinkedIn

En un paso clave hacia modelos de negocio más sostenibles y basados ​​en servicios, TD SYNNEX, en colaboración con IBM, presentó su Global FinOps Practice, una iniciativa que combina análisis inteligente y automatización para ayudar a los socios a optimizar costos y aumentar la rentabilidad en entornos multi-nube.

Deana Solis, 2022 FinOps Foundation Evangelist of the Year, joins Corey Quinn to discuss her winding career path from electrical engineering to healthcare IT to FinOps. She shares why certifications are "largely performative," warns that AI can turn your AWS bill into "a telephone number," and explains why NAT Gateway costs hit everyone from hobbyists to enterprises. The episode covers cloud repatriation conspiracy theories, translating between engineering and finance teams, and why good FinOps work is really just getting humans in a room to talk.Show Highlights: (02:36) FinOps Foundation (03:15) FinOps as Marriage Counseling Between Engineering and Finance(06:00) Deana's Journey From Electrical Engineering to FinOps(12:41) The Performative Nature of Certifications(16:22) AI as Both a Threat and Tool in FinOps(20:41) Why AI Is Flooding the Job Market with Noise(25:09) Why FinOps Is Never Boring Despite Sounding Like It(29:10) The NAT Gateway Problem(33:09) The Generational Divide in Cloud Platform Preferences(37:23) Stay In Contact With Deana SolisAbout Deana Solis: Deana Solis is a senior FinOps engineer with more than 20 years of infrastructure management experience. Recognized as the FinOps Evangelist of the Year by the FinOps Foundation in 2022, she has become a leading voice in driving cloud financial accountability and culture.Beyond her technical expertise, Deana is passionate about humanizing technology. She serves as a FinOps Foundation ambassador and mentor, using her voice to elevate Women in FinOps and underrepresented folks in technology.Her unique journey, from electrical engineering to liberal studies to FinOps, embodies both analytical rigor and emotional intelligence. Deana isn't just shaping the way organizations think about cloud costs; she's helping reshape the culture of technology itself.Sponsor: https://www.wiz.io/

In 'Access All Areas' shows we go behind the scenes with the crew and their friends as they dive into complex challenges that organisations face—sometimes getting a little messy along the way. We're launching a special AI mini-series exploring how artificial intelligence is reshaping industries. Each episode dives into key themes like scaling AI, societal impact, leadership, sustainability, and the challenges ahead. Join us for fresh insights and bold conversations on the future of intelligent systems.  This week, Dave, Esmee, and Rob kick off the AI mini-series with Craig Suckling, CAIO at Capgemini and co-host of this special edition. The episode is inspired by “Riding the AI Whirlwind,” Gartner's 2025 strategic predictions report, which urges organizations to act boldly on AI's potential while managing risks like rising costs and privacy concerns  TLDR:00:40 – Introduction of Craig Suckling and launch of the AI mini-series02:38 – Summary of three key insights and strategic recommendations from Gartner's “Riding the AI Whirlwind” report23:03 – Strategic planning assumptions: what they mean for business and tech leaders41:40 – Sam Altman's top three concerns about the future of AI49:35 – What key topics remain unaddressed?51:00 – What to expect from the AI mini-series featuring industry leadersHostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/with co-host Craig Suckling: https://www.linkedin.com/in/craigsuckling/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

Abrimos o episódio colocando a mão na massa: como desenhar uma experiência de desenvolvedores (DevX) que realmente reduz lead time e aumenta throughput de entregas. Com a presença do Luiz Henrique e da Larissa Vitoriano, exploramos o que o time do iFood aprendeu ao escalar plataformas internas, padronizar fluxos de entrega e melhorar a autonomia das squads sem perder governança.Também entramos no universo de Developer Relations (DevREL) — não como “marketing técnico”, mas como ponte entre produto, plataforma e comunidade. Falamos de como priorizar feedback produtivo, quais métricas evitam vaidade e como alinhar backlog de plataforma com as dores reais de quem está codando todos os dias.Pra fechar, discutimos IA “na vida real”: onde modelos (tradicionais e LLMs) já estão gerando valor no ciclo de desenvolvimento, como observabilidade e custo entram na equação e os limites práticos de adoção — desde MLOps, finops de inferência, até segurança e privacidade.Links Importantes:- Larissa Vitoriano - https://www.linkedin.com/in/larissavitoriano/- Luiz Henrique - https://www.linkedin.com/in/luizhenrique1987/- Blog do IFood Tech - https://medium.com/ifood-tech- João Brito - https://www.linkedin.com/in/juniorjbn/- Assista ao FilmeTEArapia - https://youtu.be/M4QFmW_HZh0?si=HIXBDWZJ8yPbpflMHashtags#DevX #DevREL #IA #MLOps #Plataformas #Observabilidade #FinOps #SRE #CulturaDev #Produtividade #Kubernetes #DevOps #DevSecOps #Kubicast #Containers #GetupO Kubicast é uma produção da Getup, empresa especialista em Kubernetes e projetos open source para Kubernetes. Os episódios do podcast estão nas principais plataformas de áudio digital e no YouTube.com/@getupcloud.

Harness co-founder Jyoti Bansal highlights a growing issue in software development: while AI tools help generate more code, they often create bottlenecks further along the pipeline, especially in testing, deployment, and compliance. Since its 2017 launch, Harness has aimed to streamline these stages using AI and machine learning. With the rise of large language models (LLMs), the company shifted toward agentic AI, introducing a library of specialized agents—like DevOps, SRE, AppSec, and FinOps agents—that operate behind a unified interface called Harness AI. These agents assist in building production pipelines, not deploying code directly, ensuring human oversight remains critical for compliance and security.Bansal emphasizes that AI in development isn't replacing people but accelerating workflows to meet tighter timelines. He also notes strong enterprise adoption, with even large, traditionally slower-moving organizations embracing AI integration. On the topic of an AI bubble, Bansal sees it as a natural part of innovation, akin to the Dotcom era, where market excitement can still lead to meaningful long-term transformation despite short-term volatility. Learn more from The New Stack about the latest in Harness' AI approach to software development: Harness AI Tackles Software Development's Real Bottleneck  Harnessing AI To Elevate Automated Software Testing Join our community of newsletter subscribers to stay on top of the news and at the top of your game.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

AJ Wit, Mark Bradley, and Ryan Hardcastle delves into the powerful intersection of financial, environmental, and asset management. This episode reveals how integrating these practices can help organisations control costs, reduce their environmental footprint, and meet compliance and risk management objectives, creating a more efficient and sustainable approach to IT operations. "FinOps was the new kid on the block, but over time, both FinOps and ITAM have realised they're tackling the same challenges from different angles" - Mark Bradley, Flexera

The evolving role of technology in modern defense environments, highlighting innovations in communications, automation, and open-source frameworks. Drawing from personal experience, the conversation emphasizes how real-world conflicts are reshaping how tech is deployed, adopted, and understood across military operations.  This week, Dave, Esmee, and Rob speak with Ben Sparke, Enterprise Azure Cloud & AI Specialist for UK Defence at Microsoft, about  how his military background informs a human-centered approach to technology in the evolving defence sector—highlighting the shift from mission-driven to tech-driven innovation.  TLDR:00:37 – Introduction of Ben Sparke and face-to-face podcasting02:40 – Rob gets confused about Digital Twins representing you in court08:15 – Tech's evolving role in defence, with Ben 34:41 – Why improvisation and human adaptability matter 43:30 – Ben's hundred-mile bike race over the weekend  Guest Ben Sparke: https://www.linkedin.com/in/ben-sparke/ HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/ 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 

Este conteúdo é um trecho do nosso episódio: “#241 FinOps: o que é, aplicações e benefícios para desenvolvimento cloud”. Nele, Felipe Cidade, Arquiteto Cloud na dti digital, compartilha os principais vilões por trás desse desperdício alarmante na nuvem. Além disso, também reflete sobre como os ambientes de desenvolvimento estão no centro do problema e traz insights valiosos sobre como implementar políticas de controle para transformar esse cenário. Dê o play e ouça agora! Assuntos abordados: Desperdício de gastos com cloud; Ambientes de dev/teste como fontes de desperdício; Superprovisionamento de recursos; Armazenamento descontrolado; Políticas de controle de gastos com nuvem; Otimização de recursos cloud; Identificação de recursos subutilizados; Gestão eficiente de custos. Links importantes: Vagas disponíveis Newsletter Dúvidas? Nos mande pelo Linkedin Contato:  entrechaves@dtidigital.com.br O Entre Chaves é uma iniciativa da dti digital, uma empresa WPP

Today, we go through the three recommended and must-have alerts you should configure in all of your Azure tenants. We touch upon FinOps, security, a bit of WAF and CAF, and find out if we're using these recommendations ourselves.(00:00) - Intro and catching up.(03:20) - Show content starts.Show links- Azure Quota Alerts (Preview): Still overlooked, but incredibly useful | Microsoft Community HubFeedback - Give us feedback!

Os custos da infraestrutura na nuvem estão te preocupando? Neste episódio, recebemos Felipe Cidade, Arquiteto Cloud na dti digital, que explica como o FinOps pode transformar a maneira como desenvolvedores gerenciam custos em ambientes cloud. Ele traz dados surpreendentes sobre desperdício em nuvem e compartilha práticas essenciais para integrar responsabilidade financeira ao ciclo de desenvolvimento. Dê o play e ouça agora! Assuntos abordados: O que é FinOps; Panorama dos gastos com nuvem; Principais causas de desperdício em ambientes cloud; Dicas para redução de gastos com FinOps; Infraestrutura como código na gestão financeira; Impacto da IA nos custos de infraestrutura; Nuvem x on-premise. Links importantes: Vagas disponíveis Newsletter Dúvidas? Nos mande pelo Linkedin Contato:  entrechaves@dtidigital.com.br O Entre Chaves é uma iniciativa da dti digital, uma empresa WPP

Independente da indústria, a experiência do consumidor (CX) é a conquista máxima da empresa para o engajamento. Edson Lisboa, superintendente de TI do Sicoob, e Thiago Viola, diretor de IA e Dados da IBM Brasil, contam como o mercado financeiro está usando agentes de IA para ganhar vantagem.Este é o quinto episódio da terceira temporada da minissérie BeeYond AI, uma cocriação da The Shift com a IBM Brasil.Confira abaixo outros episódios da minissérie:FinOps na prática: redefinindo a eficiência - a prática garante eficiência operacional, governança e retorno estratégico na era da IA.A força e o futuro das finanças embarcadas - elas levam o banco para além das suas fronteiras e são o novo paradigma do setor.Um novo mainframe para a nova era da IA - Novos modelos de mainframe feitos para IA em tempo real mudam o mercado financeiro.Avanços e impactos dos agentes de IA - Agentes de IA orquestram processos complexos, são autônomos, tomam decisões elaboradas e aprendem com o feedback recebido. Sergio Fortuna, VP de vendas da IBM Brasil, explica por que investir já na tecnologia.A IA como aliada da produtividade. Por que a inovação baseada em dados é tão poderosa quando se soma à inteligência artificial?Transformação sustentável com IA. Como a IA pode apoiar a aceleração da transformação digital e os esforços de sustentabilidade das empresas?Otimizando custos com nuvem híbrida e IA. O que acontece quando a IA entra na equação de FinOps?IA e a personalização do atendimento ao cliente. Porque CX ganhou um “efeito turbo” com uso de Inteligência Artificial.Computação quântica + IA mudam o futuro dos negócios. Uma jornada que está cada vez mais próxima. A The Shift é uma plataforma de conteúdo que descomplica os contextos da inovação disruptiva e da economia digital.Visite o site www.theshift.info e assine a newsletter

Before Siri had sass and Alexa started judging your music taste, the original virtual assistant was quietly revolutionizing the '90s—powered by many patents and a whole lot of foresight. Now, as AI goes from buzzword to boss, we ask, will it transform your job, your home… or just steal your knowledge?  This week, Dave, Esmee and Rob speak with Kevin Surace, Futurist, Inventor & "Father" of the Virtual Assistant, about exploring the evolution of AI, what the future might hold, and how disruptive innovation can shake up your organization in ways you might not expect.   TLDR: 00:40 – Introduction of Kevin Surace 05:12 – Rob gets confused by Google Maps reviews and selfies 08:15 – Deep dive into the evolution of AI with Kevin 52:00 – How intelligent agents can help manage digital noise and support mental well-being 1:07:30 – Wrapping up the book the Joy Success Cycle and heading to a concert  GuestKevin Surace: https://www.linkedin.com/in/ksurace/ HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/ 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 

Greg Leonardo is a Principal Cloud Architect, Certified Azure Solution Architect Expert, and Microsoft Azure MVP with over two decades of experience driving high-impact cloud transformations for global enterprises. Greg's work sits at the crossroads of architecture, innovation, and mentorship, where he crafts scalable, cost-efficient, and future-ready solutions that align technology with business strategy. He's a recognized authority in Azure-native architecture, FinOps optimization, and AI integration, known for delivering measurable results—from reducing cloud spend to accelerating DevOps agility through Terraform and infrastructure as code. His leadership extends beyond technical execution, as he actively cultivates cloud talent and fosters a culture of continuous improvement. A former Gulf War veteran, Greg brings discipline, resilience, and strategic foresight to every initiative — whether building global cloud ecosystems or leading high-performance engineering teams. He's also a passionate advocate for the cloud community, sharing insights daily through technical writing and open mentorship.   Topics of Discussion: [5:46] Greg discusses his approach to AI, emphasizing responsible AI and the importance of understanding its limitations. [8:12] AI's journey through the Hype Cycle. [11:09] Greg introduces the concept of AI as “virtual employees.” [16:44] Greg talks about how he uses both Microsoft 365 Copilot and ChatGPT Enterprise to compare their capabilities. [18:36] How Greg tests and compares AI tools. [20:21] Comparing AI to previous search and research methods. [23:31] Improving AI results through better prompts. [26:17] The agent framework, sharing, and limitations of AI agents. [36:47] AI's ability to generate architectural diagrams. [41:49] Exploring autonomous coding agents. [41:45] Why we aren't quite ready for the “fire and forget” side. [43:08] Struggling with the memory behind chat. [44:02] Closing thoughts — what can we expect in the future, and what are more practical applications of AI?   Mentioned in this Episode: Clear Measure Way Architect Forum Software Engineer Forum Gregory Leonardo LinkedIn Greg Leonardo Website Ep 326 with Greg Leonardo: The Latest in Azure Ep 282 with Greg Leonardo: Optimizing Cloud Budgets   Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.

Finanças embarcadas (embedded finance) são o novo paradigma das instituições bancárias. O que o futuro reserva para essas tecnologias e por que são tão fundamentais? Roger Serrati, líder de estratégia de embedded finance e pagamentos digitais do Bradesco, e Carlos Rivelle, gerente de data e IA da IBM Brasil, explicam essa história.Este é o terceiro episódio da terceira temporada da minissérie BeeYond AI, uma cocriação da The Shift com a IBM Brasil.Confira abaixo outros episódios da minissérie:Um novo mainframe para a nova era da IA - Novos modelos de mainframe feitos para IA em tempo real mudam o mercado financeiro.Avanços e impactos dos agentes de IA - Agentes de IA orquestram processos complexos, são autônomos, tomam decisões elaboradas e aprendem com o feedback recebido. Sergio Fortuna, VP de vendas da IBM Brasil, explica por que investir já na tecnologia.A IA como aliada da produtividade. Por que a inovação baseada em dados é tão poderosa quando se soma à inteligência artificial?Transformação sustentável com IA. Como a IA pode apoiar a aceleração da transformação digital e os esforços de sustentabilidade das empresas?Otimizando custos com nuvem híbrida e IA. O que acontece quando a IA entra na equação de FinOps?IA e a personalização do atendimento ao cliente. Porque CX ganhou um “efeito turbo” com uso de Inteligência Artificial.Computação quântica + IA mudam o futuro dos negócios. Uma jornada que está cada vez mais próxima.  A The Shift é uma plataforma de conteúdo que descomplica os contextos da inovação disruptiva e da economia digital.Visite o site www.theshift.info e assine a newsletter

FinOps deixou de ser apenas gestão de custos e se tornou peça fundamental para garantir eficiência operacional, governança e retorno estratégico em ambientes de nuvem cada vez mais distribuídos e complexos na era da IA. Luana Souza Ribeiro, FinOps Manager no Itaú Unibanco, e Ricardo Kenji de Lima, IT Automation & FinOps SME na IBM Brasil, contam como essa prática está sendo aplicada na vida real.Este é o quarto episódio da terceira temporada da minissérie BeeYond AI, uma cocriação da The Shift com a IBM Brasil.Confira abaixo outros episódios da minissérie:A força e o futuro das finanças embarcadas - elas levam o banco para além das suas fronteiras e são o novo paradigma do setor.Um novo mainframe para a nova era da IA - Novos modelos de mainframe feitos para IA em tempo real mudam o mercado financeiro.Avanços e impactos dos agentes de IA - Agentes de IA orquestram processos complexos, são autônomos, tomam decisões elaboradas e aprendem com o feedback recebido. Sergio Fortuna, VP de vendas da IBM Brasil, explica por que investir já na tecnologia.A IA como aliada da produtividade. Por que a inovação baseada em dados é tão poderosa quando se soma à inteligência artificial?Transformação sustentável com IA. Como a IA pode apoiar a aceleração da transformação digital e os esforços de sustentabilidade das empresas?Otimizando custos com nuvem híbrida e IA. O que acontece quando a IA entra na equação de FinOps?IA e a personalização do atendimento ao cliente. Porque CX ganhou um “efeito turbo” com uso de Inteligência Artificial.Computação quântica + IA mudam o futuro dos negócios. Uma jornada que está cada vez mais próxima. A The Shift é uma plataforma de conteúdo que descomplica os contextos da inovação disruptiva e da economia digital.Visite o site www.theshift.info e assine a newsletter

 We're back! In this Season 5 premiere, the team reunites after their summer break to kick off an exciting new chapter. Join us as we catch up, share bold predictions for the year ahead, and explore big questions, like whether 2026 will be the year of the autonomous organization. Expect candid reflections, lively discussion, and a sneak peek at what's coming up this season.  We are very keen this season to establish a feedback loop with listeners, so will be doing shows exploring listener questions and challenges - something we are really looking forward to.  Please get in touch with us, via LinkedIn, Substack or cloudrealities@capgemini.com, if you have questions or challenges for us, we'd love to hear from you!TLDR: 00:20 – We're back! 00:35 – Catching up on what we did during the summer break 10:48 – Planning ahead until Christmas: Microsoft Ignite, AWS re:Invent, an AI mini-series and cool guests 20:27 – Tech talk: iPhone 17, deep democracy training, and the human impact of innovation 32:10 – Will autonomous organizations powered by agents emerge within 12–18 months? 40:45 – Reflections inspired by Jaws, climbing adventures, and Bruce Springsteen  HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/ 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 

Send us a textShort episode packed with so many ideas and thoughts. In this episode, Frank Contrepois and Stephen Old engage in a thought-provoking discussion with Erik Norman about the principles of FinOps, particularly focusing on the Iron Triangle of project management. They explore the limitations of the Iron Triangle, emphasizing the importance of quality and speed in achieving project goals. The conversation also highlights the necessity of education in cloud engineering, the challenges of serverless architectures, and the misconceptions surrounding vendor lock-in in cloud solutions. The episode is rich with insights and practical advice for professionals in the FinOps and cloud engineering space.TakeawaysThe Iron Triangle is useful but has limited applicability.Quality and speed can coexist without sacrificing cost efficiency.Education is crucial for optimizing cloud costs.Serverless architectures may not always be the most efficient choice.Vendor lock-in is often misunderstood; it exists in many forms.Effective communication between teams is essential for project success.Prioritization in FinOps should consider urgency and importance.Hackathons can foster innovation and efficiency in engineering teams.Cloud-native tools can simplify legacy migration processes.Continuous learning and adaptation are key in cloud environments.

Dave, Esmee, and Rob are strapping in for another season of bold, brain-bending conversations—and they're bringing the flux capacitor with them from Back to the Future.Season 5 beams in global leaders and innovators who challenge how we think about technology, business, and humanity. From AI disruption to digital sovereignty, from leadership to culture—this season's guests are ready to shake things up.Our first full episode drops on September 25, but before we hit 88 miles per hour, here's a quick trailer to set the timeline straight, or at least bend it a little.HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/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

De um lado, um novo modelo de mainframe totalmente projetado para tirar o melhor da IA. Do outro, um banco acelerando a modernização da sua TI para inovar na jornada digital. O resultado dessa combinação é o que exploramos na conversa com Felipe Lopes Boff, Diretor Vice-Presidente do Banco Mercantil, e Guilherme Salazar, Líder de zStack da IBM Brasil.Este é o segundo episódio da terceira temporada da minissérie BeeYond AI, uma cocriação da The Shift com a IBM Brasil.Confira abaixo outros episódios da minissérieAvanços e impactos dos agentes de IA - Agentes de IA orquestram processos complexos, são autônomos, tomam decisões elaboradas e aprendem com o feedback recebido. Sergio Fortuna, VP de vendas da IBM Brasil, explica por que investir já na tecnologia.A IA como aliada da produtividade. Por que a inovação baseada em dados é tão poderosa quando se soma à inteligência artificial?Transformação sustentável com IA. Como a IA pode apoiar a aceleração da transformação digital e os esforços de sustentabilidade das empresas?Otimizando custos com nuvem híbrida e IA. O que acontece quando a IA entra na equação de FinOps?IA e a personalização do atendimento ao cliente. Porque CX ganhou um “efeito turbo” com uso de Inteligência Artificial.Computação quântica + IA mudam o futuro dos negócios. Uma jornada que está cada vez mais próxima. A The Shift é uma plataforma de conteúdo que descomplica os contextos da inovação disruptiva e da economia digital.Visite o site www.theshift.info e assine a newsletter

Ole Lensmarm, Founder/CTO at TestKube, discusses how Kubernetes-native testing platforms are designed to address limitations in traditional CI/CD testing workflows. The conversation covers how TestKube differs from existing testing environments, expands test coverage opportunities for development and QA teams, and provides best practices for testing in Kubernetes environments.SHOW: 957SHOW TRANSCRIPT: The Cloudcast #957 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS" SPONSORS:[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search Interconnected by Equinix.[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcast[DoIT] Visit doit.com (that's d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.SHOW NOTES:TestKube - A Kubernetes-native platform that powers Continuous Testing for today's AI-accelerated developmentTestKube (open source)Why did we start TestKube (Ole Lensmar)Topic 1 - Welcome to the show. Tell us about your background and what led you to start TestKube.Topic 2 - Let's talk about the origins of TestKube. What were some areas where you saw people having frustrations or limitations that were holding back their ability to do proper testing to get things into production?Topic 3 - Let's talk about the basics of TestKube. Can you talk about how it's different from existing testing environments, or how people use CI/CD todayTopic 4 - Does TestKube expand what a typical Dev-team, or QA-team would test, or does it create new opportunities for test coverage that were very difficult before? Topic 5 - What are some of the results or feedback you've heard from people using TestKube?Topic 6 - What are some best practices you're seeing as people begin to evolve how they test for their Kubernetes environments?Topic 7 - What's the best way for people to get started with TestKubeFEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

Touch the same piece of information more than twice – fix the workflow. That's the kind of CFO-meets-COO thinking we get into in this episode of The Handbook, where Harv sits down with Lindsey Head to connect the dots between finance, ops, tech, and people – and what really changes when you standardise how the business runs. Lindsey helped scale a PR agency from 5 to 125 people and $750k to $25m in revenue, leading finance, ops, HR, tech, legal and M&A along the way – so she's seen where the cracks form, and how to close them.Here's what we dive into:• The case for “non-billable” hires early – why dedicated new-business and ops roles pay for themselves, and a simple admin-as-%-of-revenue rule of thumb (aim for ~7–8%).• Systems thinking > shiny tools – map the ideal information flow first, then pick tech to automate it. If you're touching the same data repeatedly, the process is broken.• Change management that actually works – phase rollouts, involve users early, test, train, and measure adoption before you “go live.”• Multi-entity without the migraines – standardise what you can across entities, respect local nuance (currency, tax, PTO), and use partners/EORs when expanding fast.• Run the business by the numbers – utilisation, gross margin by client, and labour % tell the truth; AI can accelerate FP&A and reporting, but you still sanity-check the outputs.If you're feeling buried under tools, processes, and hiring questions, Lindsey's final nudge is simple: pause, map “how it's going” vs “how it should go,” and focus this quarter on the single change that unlocks the most leverage.Additional Resources: 

Send us a textIn this episode of What's New in Cloud FinOps, hosts SteveO and Frank discuss the latest advancements in cloud FinOps, including Amazon's new EC2 P6EGB200 Ultra Servers, cloud migration strategies, and innovations in data management and storage. They also explore cost management techniques, pricing changes, and the impact of AI on troubleshooting and monitoring. The conversation wraps up with a call for engaging discussions with listeners.

Apple's iPhone had the Android ecosystem, but where is the Android of AI going to come from to challenge the OpenAI/NVIDIA duopoly? Let's explore the possibilities. SHOW: 956SHOW TRANSCRIPT: The Cloudcast #956 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[DoIT] Visit doit.com (that's d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcastSHOW NOTES:WHAT ARE THE ALTERNATIVE PATHS FOR AI? Consumer: Ad-supportedConsumer: Understandable tiersEnterprise: ELAs for Co-Pilot, GeminiEnterprise: Model building tools (e.g. AWS Sagemaker, Google Vertex, etc.)FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

Brian Gracely (@bgracely) Aaron Delp (@aarondelp) and Brandon Whichard (@bwhichard, @SoftwareDefTalk) discuss the top stories in Cloud and AI from August 2025.SHOW: 955SHOW TRANSCRIPT: The Cloudcast #955 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST:  "CLOUDCAST BASICS"SPONSORS:[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcast[DoIT] Visit doit.com (that's d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.SHOW NOTES:Link to August 2025 News and ArticlesFEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

From extreme ups to startling downs, every week can feel like the peak of expectations and the trough of disillusionment for AI.  SHOW: 954SHOW TRANSCRIPT: The Cloudcast #954 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[DoIT] Visit doit.com (that's d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.SHOW NOTES:THE UPS AND DOWNS OF AI - THE CONSTANT HYPE CYCLEHealthy Competition [YES]Consumer and Enterprise Markets [YES]Market leader(s) [YES, sort of]Well-Defined, profitable business model [NO]Open, lower-cost alternative emerged [YES/NO]Usage patterns emerging [YES/NO][ups] Constant high-profile VC, Sovereign wealth, hyperscaler funding of AI startups[ups] Constant high-profile CAPEX spending by hyperscalers, model builders, data center builders[ups] Rapidly growing user-bases[ups] Growing revenues at some companies (NVIDIA, OpenAI, Google, Microsoft, Anthropic)[downs] Growing losses at high-profile companies  [???] Frequent, high-profile movement by key people at high-profile companies (engineers, leadership)[downs] Frequent, partial acquires of founders and key engineers, but not entire companies[downs] Secondary market scales of startup shares, bypassing traditional secondary and public markets[downs] No “NetFlix of AI” company[downs] No “AI Agent” success stories[???] Consumer “winner-take-all” mindset from AI companies[downs] Enterprise companies struggling to create ROI+ projects (in early days)[???] Enterprise “bundles” raising prices (CoPilot, Gemini, etc.)[downs] Unclear if new frontier models are getting better than previous versions (e.g. GPT-5)[???] Are inference prices coming down? [ups] Consumers have many excellent AI choicesIt's unclear if AI companies have created any moats yet; it's unclear if LLMs can be differentiatedChatbots, developer-assistants and document management are use-cases. What else?Are agents ready to be mainstream yet? Pick-axe providers are making the money right now (NVIDIA, Broadcom, etc.), but is there moat entirely on super-premium HW?User-experiences are still being understoodWill AI + Ads (business model) be a big bang event, or happen gradually? FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

In this episode, Matt Biringer shares his journey from a successful career in tech sales to founding North Cloud, an AI-powered platform designed to optimize cloud finances. He talks about the hurdles and prospects in the cloud optimization market, the role of sales skills in leadership, and how he maintains mental clarity by practicing jiu-jitsu. Matt also discusses North Cloud's unique features, like its Green Ops sustainability initiative, and explains how he developed a client-retention strategy through a savings-fee model. This is a great listen and was an enjoyable interview for me - Matt has an impressive story and insights. Listen on Spotify: https://open.spotify.com/show/1tnV8Qk6SEw1Dr9Tqikr0HWatch on YouTube: https://www.youtube.com/@alexa_griffithYou can now watch on ⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠! Find more from this podcast at https://creators.spotify.com/pod/profile/alexagriffith/You can support this podcast on the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠creators page⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Make sure to subscribe and follow ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Alexa's Input on X⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ (⁠⁠https://x.com/alexasinput⁠⁠)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to get notified when a new podcast episode comes out.LinksLinkedIn: https://www.linkedin.com/in/mattbiringer/North Cloud Website: https://www.north.cloud/aboutX: https://x.com/biringer_Blogs, ArticlesInnovation with Purpose: Matt Biringer of North On The World's Most Successful Purpose-Driven Business Models5 FinOps Strategies Every DevOps Team Should AdoptKeywordsAI, cloud optimization, startup, entrepreneurship, North Cloud, FinOps, sustainability, technology, leadership, business strategyTakeawaysMatt Beringer transitioned from a successful tech sales career to entrepreneurship.The idea for North Cloud emerged from recognizing the complexities of cloud financial management.Sales skills are crucial for startup founders, especially in revenue generation.The pressure to maintain growth in a startup can be intense and self-imposed.Practicing jiu-jitsu provides mental clarity and decision-making skills.North Cloud serves as an AI operating system for optimizing cloud finances.Cloud providers often lack incentives to help customers optimize costs effectively.Data analysis is key to understanding cloud usage and costs.Green Ops aims to help companies manage their carbon footprint in the cloud.The future of FinOps will involve multi-cloud strategies and AI-driven solutions.Chapters00:00 The Leap of Faith: Leaving a Successful Career03:30 Identifying Opportunities in Cloud Optimization06:32 Understanding the Cloud Cost Landscape09:37 Sales Skills that Shape a Startup CEO12:31 The Balancing Act of Startup Growth15:29 Mental Resilience Through Jujitsu18:34 Introducing North Cloud: The AI Solution21:23 Data-Driven Decisions for Cloud Savings24:26 Ensuring Security in Cloud Management34:41 Harnessing Historical Data for Immediate Insights36:29 User Experience and Simplifying Adoption39:35 Innovative Pricing Models and Customer Relationships42:08 The Importance of Sustainability in Cloud Operations53:53 The Future of FinOps and AI Integration56:29 Building a Strong Team and Overcoming Knowledge Gaps01:00:52 Advice for Aspiring Entrepreneurs01:03:22 general_outro.wav

Amit Kinha - Field CTO @DoITInt | FinOps Foundation Board Member discusses how the relationship between technology and financial accountability has evolved, and how mainstream FinOps is shifting IT focus around innovation. SHOW: 953SHOW TRANSCRIPT: The Cloudcast #953 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS" SPONSORS:[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.[DoIT] Visit doit.com (that's d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.SHOW NOTES:DoIT - Intent Aware FinOpsDoIT hires Citigroup FinOps Star as ExecutiveFinOps FoundationFinOps X (event)Topic 1 - Welcome to the show. Tell us about your background and your involvement in FinOps.Topic 2 - We've been through the early days of cloud, where we were told that cloud was cheaper, and then after COVID, everyone seemed to realize that cloud was actually more expensive. Where are we with FinOps and companies understanding how to think about cloud spending?Topic 3 - You work with the FinOps Foundation. What types of roles do you see focused on FinOps, and how is that evolving as there is greater cloud cost visibility across an entire organization? Topic 4 - How has the technology around FinOps evolved? How much is still manual? How much is piecing together different costs from different systems? And how much is evolving to have an AI component? Topic 5 - How do the tools and platforms from DoIT help to make FinOps easier for companies? What are some of the key areas of focus, and some insights you're hearing from the companies that you work with directly? Topic 6 - If you had to give a CIO or CFO guidance on how to best think about FinOps, what are the top things you would focus on? FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

Prepare-se para uma imersão nos bastidores do mais recente encontro de engenharia de dados em Brasília e descubra as tendências que estão moldando o futuro da área. Neste episódio, Vitor Ramos conversa com Wesley Outeiro e outros participantes para compartilhar os principais insights e aprendizados do evento presencial, organizado pela Engenharia de Dados Academy e como palestrante Luan Moreno.Uma conversa sincera sobre a importância das interações presenciais, a evolução da comunidade de dados e o impacto da Inteligência Artificial no dia a dia dos profissionais.O que você vai aprender neste episódio:A importância do networking e da comunidade para o crescimento pessoal e profissional na área de dados.Como a interação presencial em eventos potencializa o aprendizado e a colaboração.As principais tendências em dados e IA que estão criando novas oportunidades e desafios para o mercado.Por que o domínio dos conceitos fundamentais é mais crucial do que nunca para o sucesso na engenharia de dados.A relevância de FinOps para a gestão eficiente de custos de nuvem em projetos de dados.Reflexões sobre como a dinâmica de eventos e a troca de conhecimento estão evoluindo.O poder de se conectar com líderes da indústria para se inspirar e motivar sua carreira. Luan Moreno = https://www.linkedin.com/in/luanmoreno/

As we begin to transition from the Cloud era to the AI era, what types of changes can we expect to see happen in the market, within our businesses, and for individuals? SHOW: 952SHOW TRANSCRIPT: The Cloudcast #952 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[DoIT] Visit doit.com (that's d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.SHOW NOTES:WHEN TWO ERAS OVERLAP - CLOUD AND AIThe early stages of a new era tends to be separate (cloud-native, AI-native), but eventually tends to build upon the previous era's foundationsIt usually takes a decade before an era stops being important or prioritized It usually takes 3-5 years before best practices for new applications emergeFinding new era talent is difficult (and expensive), but current era technology can be optimized (reduce costs, modernize)We're going to see “Shadow AI” and “Bi-Modal Cloud/AI”The will be a lot of “X is Dead” during the first few years of the transition, until people (again) remember that nothing in IT dies - especially in the enterpriseThere will be a lot of numbers/reports coming out that seem completely contradictory - $B investment, but $0 ROI from usersFEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

After a very long roadtrip, let's explore the lessons we can learn from some of the greatest business models in tech and how or if they apply to the AI era companies. SHOW: 951SHOW TRANSCRIPT: The Cloudcast #951 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.[DoIT] Visit doit.com (that's d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.SHOW NOTES:7 Powers of Competitive DynamicsMicrosoft (Vol 1, Vol 2)Google Meta AWSNVIDIA (Vol 1, Vol 2, Vol 3) LESSONS FROM THE GREATEST BUSINESS MODELSFounder control, nearly immediately profitable, growth strategies, How long Enterprise businesses take to matureIs there an AI business model that's profitable? Is there a business model that isn't Enterprise or Ad-supported?Microsoft - commoditize your compliments, understand market expansions, Google - Customer acquisition, scaling economics, AdWords, AdSenseAWS - Meta - Adapting the offeringsNVIDIA - Vertical integration (HW + SW)FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

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

Send us a textIn this episode, Frank and SteveO cover the latest cloud updates that matter for FinOps practitioners:Compute & AI: AWS launches the P6e GB200 Ultra Servers, delivering record-breaking GPU performance for training and inference at trillion-parameter scale. Google announces FlexStart VMs to lower inference costs, while Azure rolls out free AWS-to-Azure Blob migration.Storage & Data: Google introduces editable backup plans, and AWS adds tagging support for S3 Express One Zone—a step toward using tags as operational levers, not just reporting tools.Visibility & Optimization: AWS Transform enhances EBS cost analysis and .NET modernization insights. GCP improves billing exports with spend-based CUD metadata in BigQuery and previews a Cost Explorer for better spend tracking.Pricing & Commitments: AWS Connect introduces per-day pricing for external voice connectors. Google expands flexible CUDs to cover Cloud Run services, with full migration to the new model coming in January 2026.Savings & Compliance: Azure Firewall adds ingestion-time log transformations to cut monitoring costs. AWS Audit Manager improves evidence collection, reducing compliance overhead and spend.AI-assisted Operations: AWS debuts MCP servers for S3 Tables, CloudWatch, and Application Signals—enabling AI-driven data access, troubleshooting, and observability. Plus, QuickSight doubles SPICE datasets to 2B rows.As always, we cut through the noise to focus on the FinOps impact—cost, commitments, compliance, and the growing role of AI in managing the cloud.

Shay Levi (@shaylevi2, CEO @UnframeAI) & Larissa Schneider (COO @UnframeAI) discuss the complexities of building an enterprise-grade AI platform. Topics include what an AI platform is, the advantages of adoption, and the efficiencies gained.SHOW: 948SHOW TRANSCRIPT: The Cloudcast #948 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK:  http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST:  "CLOUDCAST BASICS"SPONSORS:[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.[DoIT] Visit doit.com (that's d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.SHOW NOTES:Unframe websiteTopic 1 - Shay & Larissa, welcome to the show!  Give everyone a brief introduction and a little about your background. Topic 2 - Today, we're discussing AI Security and Enterprise Platforms. What are the problems or issues you see with AI development today?Topic 3 - Is this where an AI platform comes into play? I'm seeing more and more about this term and wondering what it truly means to be a platform. What is your definition of a platform, and what are the advantages?Topic 4 - Shay, considering your background in APIs and API security, how does that knowledge transfer into this space?Topic 5 - Larissa, with your background in operations, where do you see the inefficiencies in AI development and lifecycle management of the AI models and the datasets?Topic 6 - Let's talk about Unframe. Give everyone an overview. Is this a SaaS service? How and where does it fit into your typical AI development stack?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

Are we beginning to see the dawn of a 2nd phase of Cloud Computing, as AI begins to become a workload that impacts every aspect of the previous era of Cloud? Let's explore…SHOW: 948SHOW TRANSCRIPT: The Cloudcast #948 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[DoIT] Visit doit.com (that's d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.SHOW NOTES:CLOUD 1.0 vs. CLOUD 2.0Cloud 1.0: On-demand services, OSS innovation, Core Building Blocks, Affordable Infrastructure with declining costs, 1st and best customers, limited gov't involvement, varied competition levels, Cloud 2.0: AI is a now technology, GPU vs. CPU costs, vertical application stacks?, unknown economics, highly funded competition, unknown gov't involvement, unknown investment into OSS, AI gravity vs. cloud gravityFEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

Brian Gracely (@bgracely) Aaron Delp (@aarondelpt) and Brandon Whichard (@bwhichard, @SoftwareDefTalk) discuss the top stories in Cloud and AI from July 2025.SHOW: 947SHOW TRANSCRIPT: The Cloudcast #947 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST:  "CLOUDCAST BASICS"SPONSORS:[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.[DoIT] Visit doit.com (that's d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.SHOW NOTES:Link to July 2025 News and ArticlesFEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

For this special edition of TCP Talks, Justin Brodley is joined by four distinguished guests from the FinOps Foundation following the recent FinOps X conference in San Diego. Rob Martin, Mike Fuller, Graham Murphy, and the TCP team dive deep into the evolution of FinOps from pure cloud cost management to the broader “Cloud Plus” world, the rapid adoption of Focus 1.2, and how AI is transforming both what we manage and how we manage it. About Our Guests Rob Martin has been with the FinOps Foundation for four years, currently focusing on the AI working group, ITAM initiatives, and the rapidly growing public sector adoption. His experience spans training development and strategic initiatives that have helped shape the foundation’s direction during a period of explosive growth. Mike Fuller is one of the founding members of the FinOps Foundation and co-author of the Cloud FinOps book. As a member of the Focus project steering committee, he’s been instrumental in developing the specification that’s standardizing cloud billing data across the industry. Graham Murphy serves as Director of SaaS P&L for Technology One in Brisbane. With 8-9 years in FinOps and recently nominated as both a FinOps Ambassador and Focus Ambassador, Graham brings a practitioner’s perspective from the APAC region and insights on implementing Focus in a SaaS environment. Conference Growth and Evolution The 2025 FinOps X conference in San Diego marked a significant milestone with approximately 2,000 attendees—a substantial increase from the previous year. Despite the larger venue, the conference maintained its intimate feel, allowing for meaningful connections and knowledge sharing. 2:49 Graham: “AI definitely grew a lot this year. A lot more talk about how you go about managing AI, how FinOps is going to drive better value out of your AI investments. And also just a lot of people trying to understand where to start.” The conference format evolved with more senior leadership participation, including executives from PepsiCo, Ticketmaster, and Nubank sharing their FinOps journeys. The quality of presentations notably improved, with practitioners willing to share deeper insights into their mature FinOps programs. The Cloud Plus Revolution A dominant theme throughout the conference was the expansion beyond traditional cloud cost management into what the foundation calls “Cloud Plus”—encompassing SaaS, data center, licensing, and AI costs. 4:31 Mike: “We saw that sort of echoed quite well across many of the breakout sessions by practitioners exactly how they’re sort of incorporating other costs into the conversation of their practices.” 6:56 Rob: “Ticketmaster said something that I loved, which was that they were ‘happily hybrid’… we understand that we’ve got all these different modalities that we’re going to use to deliver value—SaaS models and data center models and cloud models.” This shift represents a fundamental change in how organizations view FinOps, moving from a cloud-specific practice to a comprehensive IT financial management approach.

The hardest thing for any growing company to do is manage the transition from hypergrowth to the dual tracks of growth and stability. AWS is entering their Hybrid phase, or the transition from Day 1 to Day 2. How will it go?SHOW: 946SHOW TRANSCRIPT: The Cloudcast #946 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[DoIT] Visit doit.com (that's d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.SHOW NOTES:Amazon Q2 (July 2025) ResultsReviewing Amazon/AWS Q2 2025 Results (CNBC)AWS QoQ Earnings Growth Rates (2014-2025)Andy Jassy defends Amazon/AWS AI strategyAmazon Q2 2025 Earnings Call TranscriptUpdate from Andy Jasay Amazon Generative AI (Amazon Internal)HOW WILL AWS HANDLE DAY 1 AND DAY 2?Has AWS missed the Generative AI transformation?Not investing in GPUs at the same rate as their cloud market shareDon't have a Top 5 Frontier LLMDon't have a productivity suite to attach AI to (on-going revenue)Don't have a leading coding-assistant appDon't have an immediate “acquisition” target (e.g. Anthropic valuation near $150B)AWS isn't breaking out their AI revenuesAWS's growth has plateaued over the last 6 quarters (around 17%), while Azure, GCP have been growing at 1.5 to 2x, specifically around AI revenues. AWS is up to 18% of Amazon revenue, and current AWS (CPU-based) is driving the majority of Amazon profits. Jasay is trying to make AI an add-on to the AWS “building block” modelGenAI buying (at this point) looks similar to Shadow IT going to public cloud – it's not centrally controlledIs AWS focused on GenAI, or moving the other 80-85% of on-premises to their cloud? Can they manage both priorities at the same time? Can you achieve the same levels of growth if non-GenAI startups aren't getting funding at the same levels as pre-2022?FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

Elliot Shmukler (Co-Founder and CEO at Anomalo) talks about the impact of data quality on AI, how unstructured data can be improved, and how monitoring of data lakes can help prevent model drift and give organizations confidence with predictable results.SHOW: 945SHOW TRANSCRIPT: The Cloudcast #945 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK:  http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST:  "CLOUDCAST BASICS"SPONSORS:[DoIT] Visit doit.com (that's d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.[FCTR] Try FCTR.io (that's F-C-T-R dot io) free for 60 days. Modern security demands modern solutions. Check out Fctr's Tako AI, the first AI agent for Okta, on their websiteSHOW NOTES:Anomalo websiteThe Cloudcast #598 - Data QualitySnowflake invests in AnomaloTopic 1 - Elliot, welcome back! It's hard to believe it has been 3 years since we spoke! Give everyone a brief introduction.Topic 2 - Here's the problem I see when it comes to AI adoption today. There isn't an “off the shelf” AI model with an organization's data built in; that's impossible. So, you must bring this data, often unstructured, to the model, often with mixed results. Do you agree?Topic 3 - I see data quality in two ways… the quality of the data before ingestion is one way, we want the data to be clean going in. But, we also need a way to detect, mitigate, and do a root cause analysis for quality checks along the way, correct? Give everyone an idea of what this life cycle looks like.Topic 4 - What are you seeing as the barriers to adoption? Is it the tools, the models, the need for RAG pipelines, the lack of data scientists, and AIOps?Topic 5 - We have this crossroads where proprietary data makes an organization unique, but exposing that unique data puts the organization at risk. How much of a factor does this play, and how do you advise organizations around this complex intersectionTopic 6 - There is always this concept of predictable results. This answer should be consistent and repeatable. We've seen things like model/data drift and hallucinations hinder this concept, leading to a lack of confidence in the results. How do you advise organizations to tackle this lifecycle management and predictability over time?Topic 7 - If listeners want to get started and learn more, what's the best way to get started?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

If the AI Agent hype ends up being real, how will businesses manage AI Agents from the perspective of people vs. non-people? SHOW: 944SHOW TRANSCRIPT: The Cloudcast #944 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.[FCTR] Try FCTR.io (that's F-C-T-R dot io) free for 60 days. Modern security demands modern solutions. Check out Fctr's Tako AI, the first AI agent for Okta, on their website[DoIT] Visit doit.com (that's d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.SHOW NOTES:Batch jobs vs Cron jobsRobotic Process AutomationWhat is AIOps?AI Platform goes rogue, deletes company database (Replit)How do consultants think about AI AgentsWHAT IF AI AGENTS ARE SUCCESSFUL?What are our expectations of AI Agents? How do we treat AI Agents? How do we organize AI Agents? How do we manage AI Agents?Will we have Junior and Senior AI Agents? Will we see internal competition for managers trying to get AI Agent budget? Will companies measure % AI Agent for projects? Will we see managers trying to take their agents with them if they leave a company? How “owns” the agent?FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

Dave, Esmee, and Rob take a moment to look back on the wild ride that was Season 4—revisiting the themes that sparked the biggest conversations and the guests who left a lasting impression. They also reveal what's on their summer to-do lists and drop a few juicy hints about what's coming in Season 5. Get ready—it's going to be even bigger and bolder.Thank you to all our listeners and guests for joining us in Season 4 - have a great summer and we will see you in September!TLDR:00:40 Season 4 by the numbers – and a fun mix-up with round figures03:20 Reflecting on standout topics and memorable guests03:42 Scaling AI: Hyperscaler narratives, tech momentum, and the adoption gap13:18 Ethics in the AI era – how organizations can and must stay grounded18:12 The human factor: Why “human-in-the-loop” matters more than ever27:29 Sovereignty in tech – geopolitics, shifting narratives, and the rise of Sovereign AI37:16 A deep dive into Telco – highlights from our dedicated mini-series53:48 2025 tech trends with Gene Kim55:33 Listener Q&A: Daniel Delicate on Cynefin vs. IT operating models1:01:44 Andrea Kis on keeping humanity in fast-paced tech1:06:09 Ezhil Suresh on how we prep and record our podcast with top-tier guests1:11:38 John Eaton-Griffin on how guests have shaped our thinking1:17:19 A word from our co-host1:19:57 Looking ahead to Season 5: AAA episodes, new industry mini-series, and Hyperscaler events1:22:09 Meet our new AI companions: Substack and the Cloud Realities chatbot1:23:40 What's next for us this summerHostsDave 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

Luke Marsden, CEO and Founder, HelixML talks about Private GenAI. What is it? Why do you need it? We also discuss integration into CI/CD pipelines, the layers of a Private GenAI Stack, and why most organizations are opting for RAG over fine-tuning LLMs.SHOW: 943SHOW TRANSCRIPT: The Cloudcast #943 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST:  "CLOUDCAST BASICS" SPONSORS:[DoIT] Visit doit.com (that's d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.[FCTR] Try FCTR.io (that's F-C-T-R dot io) free for 60 days. Modern security demands modern solutions. Check out Fctr's Tako AI, the first AI agent for Okta, on their website[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.SHOW NOTES:HelixML websiteHelixML GitHubHelix 1.0 Announcement BlogTopic 1 - Welcome to the show Luke. Give everyone a brief intro.Topic 2 - Let's start with Priavte GenAI. What is it? Why should organizations out there consider it? Why not just use OpenAI GPT's and fine tune them?Topic 2a Follow up - Regulatory Compliance - take the opposing forces in the EU for instance to using SaaS based services based in the United States.Topic 3 - Let's break down the layers in a typical Private AI stack. I'm seen various ways to represent this such as infrastructure layer, MLOps layer, models, data layer (typically RAG), etc. How do you break up the stack into individual componentsTopic 4 - My mind immediately jumps to similarities in the DevOps space. Abstraction layers and components like Docker and containers comes to mind, integration into CI/CD pipelines, etc. I feel like MLOps is it's own thing with specific tools and workflows. Does this all come together and if so how?Topic 5 - Also, what does this mean for versioning and lifecycle management of the models and the data?Topic 6 - We are seeing more and more data pipelines with backed by multiple models, sometimes in multiple locations. How do handle this from both a scheduling and interface standpoint? Is everything hidden behind APIs for instance?Topic 7 - If anyone is interested, what's the best way to get started?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

If the rewards of a startup are only going to the founders and AI researchers, then what incentives are there for all the other roles? Has AI broken the startup model? SHOW: 942SHOW TRANSCRIPT: The Cloudcast #942 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[FCTR] Try FCTR.io (that's F-C-T-R dot io) free for 60 days. Modern security demands modern solutions. Check out Fctr's Tako AI, the first AI agent for Okta, on their website[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.[DoIT] Visit doit.com (that's d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.SHOW NOTES:Google and Windsurf, Stinky Deals, Chesterton's Fence and the Silicon Valley EcosystemAndreessen Horowitz's Casado Plays Talent Broker for CursorCognition acquires Windsurf after CEO and Researchers go to GoogleAre AI Acquihires Screwing Up the Startup Space?How ‘Acquihires' Are Reshaping Silicon Valley's AI InvestmentsWHY WOULD ANYBODY JOIN AN AI STARTUP? Windsurf, ScaleAI, Inflection and several other AI companies are getting acquihired. The US DOJ and FTC are scrutinizing acquisitions by large tech companiesLarge tech companies are able to acquihire without paying for non-foundersNot every company will be ChatGPT and grew without massive sales and marketingWhat would anyone join an AI Startup if you're not the Founder or AI Researcher? FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

The rise of structure software fueled globalization by streamlining operations across borders. Now, Cloud and AI are accelerating this momentum, enabling faster innovation, smarter decision-making, and scalable growth. By modernizing ERP with intelligent technologies, organizations can stay agile, competitive, and ready for the next wave of global transformation.This week, Dave, Esmee and Rob talk to Timo Elliott, Innovation Evangelist at SAP, to explore how SAP is driving globalization—and how organizations can accelerate innovation through the power of Cloud and AI. TLDR00:55 Introduction of Timo Elliott02:40 Rob shares his confusion about misleading online ads08:06 In-depth conversation with Timo46:32 Rethinking control in enterprise systems1:00:00 Brunch at a Paris café or joining an event?GuestTimo Elliott: https://www.linkedin.com/in/timoelliott/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

We discuss the Cursor pricing changesSHOW: 941SHOW TRANSCRIPT: The Cloudcast #941 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS" SPONSORS:[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.[DoIT] Visit doit.com (that's d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.[FCTR] Try FCTR.io (that's F-C-T-R dot io) free for 60 days. Modern security demands modern solutions. Check out Fctr's Tako AI, the first AI agent for Okta, on their websiteSHOW NOTES:Cursor Series-C Funding ($9.9B valuation)New Cursor Pricing TiersUpdated Cursor Pricing (June 2025)Cursor apologizes for unclear pricing changes (TechCrunch) Promiscuity of Modern Developers (Redmonk)Aaron Levie speculates that coding-assistants are involved with 50% of AI usage todayAnysphere, the startup behind coding app Cursor, hired two former Anthropic leadersMeasuring the actual impact of AI coding (Changelog)Windsurf's CEO goes to Google; OpenAI's acquisition falls apart (TechCrunch)Windsurf 2-3x'd headcount, and then the founding team walked. Pretty wild (X.com)Topic 1 - What happened (basics of the pricing change)?Topic 2 - How was this communicated? Topic 3 - Where was the confusion?Topic 4 - Wasn't this inevitable because of huge costs and funding rounds? Topic 5 - How do we square the “developers don't pay for anything” and “AI-native vs. AI-augmented” when developers are still in the loop?Topic 6 - Does this inevitability mean AI coding-assistants can't be a standalone business, but need to be in a bundle? Topic 7 - WTF Windsurf?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

In the Enterprise, there is a spectrum forming of aggressive adopters and passive resistors to AI usage. While there are no best practices yet, C-suites are pushing. So what are you waiting for?SHOW: 940SHOW TRANSCRIPT: The Cloudcast #940 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[DoIT] Visit doit.com (that's d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.[FCTR] Try FCTR.io (that's F-C-T-R dot io) free for 60 days. Modern security demands modern solutions. Check out Fctr's Tako AI, the first AI agent for Okta, on their website[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.SHOW NOTES:AI Eats the World (Benedict Evans)East Meets West 2025 (keynote presentation) The State of Consumer AI (2025 - Menlo Ventures)WHEN SHOULD YOU START ENGAGING WITH AI?Nobody wants to be told what to do; and everyone wants guidance on what to do[Experience from watching adoptions in the Enterprise]No job has ever been safe in the long runAI is like every new technology, it has a steep and long learning curve. But the beginning seems pretty easy. Nobody knows AI best practices at this pointNobody knows good AI KPIs at this pointNobody understands AI costs at this pointThe “older” generation can build on their existing domain experienceThe “younger” generation has always figured out new ways to work, be creativeEven CEOs aren't the ultimate boss - the market, boards, peer pressure, etc. - they will push trends, sometimes without all the dataFEEDBACK?

Cloud costs are spiraling for many organizations. In this On Cloud podcast Pooja Kumar, VP Cloud Strategy & Transformation at Prudential Financial and Tim Potter, Principal, US Engineering Leader for Insurance, Investment Management, and Real Estate at Deloitte, discuss how to rein them in with FinOps-driven cost control, AI-powered automation, and culture change.