Podcasts about genai

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Wearing the CMO+ hat rewires the role. You pick up a second lane, your calendar tightens, and perceptions shift from “just the marketer,” a label no one should wear, to business leader.   The path is demanding, but when the plus lines up with company priorities and earns trust across the business, the impact is unmistakable.   In this episode, Drew sits down with Sandy Ono, EVP and CMO at OpenText, who leads global marketing across ten business units while also owning partnerships and alliances. She treats both as one go-to-market, aligning partners and the field around a single story, running the forecast together, and keeping a steady rhythm so co-selling and co-marketing stay aimed at the same targets.  Three Actions Behind Sandy's CMO+ Success: Mindset: Claim growth as the job and step closer to revenue through partnerships  Skillset: Learn forecasting, deal construction, and the weekly rigor of partner sales  Toolset: Build the operating rhythm that connects co-selling, co-marketing, and accountability at scale  Plus:  How to choose a plus that aligns with company growth priorities  How to juggle both roles with capacity planning and clear priorities  How to protect brand integrity while telling a shared story with partners  How to measure progress with sourced pipeline, influenced revenue, retention, and feedback loops into product Weighing a plus or already living one? You'll find proven moves here.   If you're a B2B CMO, you can meet Sandy and another 100 incredible marketing leaders at the CMO Super Huddle in Palo Alto, California on November 6th and 7th. She'll be speaking on a panel about how CMOs are leading the charge with GenAI.  For full show notes and transcripts, visit https://renegademarketing.com/podcasts/ To learn more about CMO Huddles, visit https://cmohuddles.com/

Comment enrichir vos fiches produits et vos pubs à l'échelle grâce à l'IA générative - avec DataïadsDans cet épisode enregistré à Biarritz au One to One IA & Expérience Client 2025, je retrouve Raphaël Grandemange, CEO et cofondateur de Dataïads, une solution SaaS qui permet aux e-commerçants de produire des visuels et vidéos produits dynamiques à grande échelle grâce à la GenAI.L'ambition de Dataïads : automatiser la création d'assets marketing personnalisés (images, vidéos, visuels publicitaires…) à partir d'un simple flux produit. Résultat : des pages produits enrichies, des publicités plus performantes, et une personnalisation fine à grande échelle.

In this episode, we talked with Ranjitha Kulkarni, a machine learning engineer with a rich career spanning Microsoft, Dropbox, and now NeuBird AI. Ranjitha shares her journey into ML and NLP, her work building recommendation systems, early AI agents, and cutting-edge LLM-powered products. She offers insights into designing reliable AI systems in the new era of generative AI and agents, and how context engineering and dynamic planning shape the future of AI products.TIMECODES00:00 Career journey and early curiosity04:25 Speech recognition at Microsoft05:52 Recommendation systems and early agents at Dropbox07:44 Joining NewBird AI12:01 Defining agents and LLM orchestration16:11 Agent planning strategies18:23 Agent implementation approaches22:50 Context engineering essentials30:27 RAG evolution in agent systems37:39 RAG vs agent use cases40:30 Dynamic planning in AI assistants43:00 AI productivity tools at Dropbox46:00 Evaluating AI agents53:20 Reliable tool usage challenges58:17 Future of agents in engineering Connect with Ranjitha- Linkedin - https://www.linkedin.com/in/ranjitha-gurunath-kulkarniConnect with DataTalks.Club:- Join the community - https://datatalks.club/slack.html- Subscribe to our Google calendar to have all our events in your calendar - https://calendar.google.com/calendar/r?cid=ZjhxaWRqbnEwamhzY3A4ODA5azFlZ2hzNjBAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ- Check other upcoming events - https://lu.ma/dtc-events- GitHub: https://github.com/DataTalksClub- LinkedIn - https://www.linkedin.com/company/datatalks-club/ - Twitter - https://twitter.com/DataTalksClub - Website - https://datatalks.club/

John Maytham speaks to Retha Beerman, Director and Head of the Knowledge Management practice at CDH, about how these AI legal tools are being integrated responsibly, and what this means for clients across the continent. Afternoon Drive with John Maytham is the late afternoon show on CapeTalk. Presenter John Maytham is an actor and author-turned-talk radio veteran and seasoned journalist. His show serves a round-up of local and international news coupled with the latest in business, sport, traffic and weather. The host’s eclectic interests mean the program often surprises the audience with intriguing book reviews and inspiring interviews profiling artists. A daily highlight is Rapid Fire, just after 5:30pm. CapeTalk fans call in, to stump the presenter with their general knowledge questions. Another firm favourite is the humorous Thursday crossing with award-winning journalist Rebecca Davis, called “Plan B”. Thank you for listening to a podcast from Afternoon Drive with John Maytham Listen live on Primedia+ weekdays from 15:00 and 18:00 (SA Time) to Afternoon Drive with John Maytham broadcast on CapeTalk https://buff.ly/NnFM3Nk For more from the show go to https://buff.ly/BSFy4Cn or find all the catch-up podcasts here https://buff.ly/n8nWt4x Subscribe to the CapeTalk Daily and Weekly Newsletters https://buff.ly/sbvVZD5 Follow us on social media: CapeTalk on Facebook: https://www.facebook.com/CapeTalk CapeTalk on TikTok: https://www.tiktok.com/@capetalk CapeTalk on Instagram: https://www.instagram.com/ CapeTalk on X: https://x.com/CapeTalk CapeTalk on YouTube: https://www.youtube.com/@CapeTalk567 See omnystudio.com/listener for privacy information.

How can you measure ROI on GenAI for your team?

Learn how Coveo automated LLM migration like a "mind transplant," building frameworks to optimize prompts and maintain quality across model changes.Topics Include:AWS and Coveo discuss their Gen-AI innovation using Amazon Bedrock and Nova.Coveo faced multi-cloud complexity, data residency requirements, and rising AI costs.Coveo indexes enterprise content across hundreds of sources while maintaining security permissions.The platform powers search, generative answers, and AI agents across commerce and support.CRGA is Coveo's fully managed RAG solution deployed in days, not months.Customers see 20-30% case reduction; SAP Concur saves €8 million annually.Original architecture used GPT on Azure; migration targeted Nova Lite on Bedrock.Infrastructure setup involved guardrails and load testing for 70 billion monthly tokens.Migrating LLMs is like a "mind transplant"—prompts must be completely re-optimized.Coveo built automated evaluation framework testing 20+ behaviors with each system change.Nova Lite improved answer accuracy, reduced hallucinations, and matched GPT-4o Mini performance.Migration simplified governance, enabled regional compliance, reduced latency, and lowered costs.Participants:Sebastien Paquet – Vice President, AI Strategy, CoveoYanick Houngbedji – Solutions Architect Canada ISV, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

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 

In July 2008, 40-year-old teacher and mother Genai Coleman was shot and killed while waiting in her car outside a mall in Duluth, Georgia. What began as a tragic carjacking soon turned into one of the strangest investigations police had ever seen — when DNA from the crime scene pointed to not one suspect, but two. SUPPORT OUR SPONSOR Nutrafol Visit Nutrafol.com/girlgone Learn more about your ad choices. Visit megaphone.fm/adchoices

Alex Kutsishin is the co-founder and CEO of Fuel Inc., the world's first “performance as a service” platform and home to the largest Gen AI library of proprietary content. Named EY Entrepreneur of the Year, Alex has co-founded 10 companies, including Sales Boomerang, which achieved a staggering 3,800% growth.In today's episode, Alex joins me to share his most powerful “relaunch story.” He reveals the turning point that almost ended his business, and how it pushed him to think bigger and build something even stronger.We dive deep into how Alex was able to pivot fast with only a handful of employees and transform Sales Boomerang from a small solution into a scalable enterprise success.Alex explains the mindset shifts that helped him keep moving, how to prepare yourself when the future feels uncertain, and how to stay flexible when everything is changing fast.We also talk about the future of learning and why microlearning is so powerful for growth right now. Alex explains how to apply any knowledge instantly, how to avoid getting lost in bad information with AI, and why learning this way might be the key to reaching your next level.If you're facing your own setbacks, building a business, or just looking for a fresh way to grow, join us today to learn how to turn challenges into momentum, how to adapt fast, and how to fuel the next best version of yourself.Alex Kutsishin's Social Media:https://www.linkedin.com/in/fuelinchttps://www.instagram.com/myfuel.ioConnect with Hilary:Website: https://www.therelaunch.comInstagram: https://www.instagram.com/hilarydecesare/Facebook: https://www.facebook.com/TheReLaunchCoInterested in being a guest on the ReLaunch Podcast or booking Hilary as a guest? Email us at hello@therelaunch.comFind Us on Your Favorite Podcast App – https://the-silver-lined-relaunch.captivate.fm/listen

Anders Larson and Shea Parkes discuss using GenAI applications with coding agents to simulate healthcare costs.  They revisit the distinction between large language models (LLMs) and the applications that wrap them.  They then use some newer GenAI application functionality to generate some simulated healthcare cost distributions.  During their discussion they explore what domain knowledge the modern LLMs already have, and how to supplement that with their own domain expertise.

Inside Growth 2.0. How AI, GEO & Vibe Coding Are Changing Everything EP322 Profit With A Plan Podcast Release date: October 6, 2025 Guest: Raj Singh, VP of Product at Mozilla Host: Marcia Riner, Business Growth Strategist | Infinite Profit®  

In this podcast, Vishal Iyengar, Principal at Deloitte, and Mike Stimpson, CTO at enGen, discuss the strategic value that AI Agents can unlock to transform healthcare outcomes, operations, and stakeholder experience. They explore the practical use of Agents to answer foundational questions and address requests for information from members and providers that routinely cause abrasion, confusion, and administrative overhead. Vishal and Mike also highlight what is needed for these Agentic solutions to be deployed and adopted for organizations to achieve the expected results – data integrity, cyber security, governance and compliance, and targeted talent. In this episode, they talk about:How AI has grown from traditional machine learning to GenAI to today's Agentic capabilitiesA simple 3-layer setup: domain agents (specialists), reasoning agents (the organizer), and an enterprise model (the professor)Real-life use cases, like “Is this service covered?” or “Why was my claim denied?”What enGen focuses on to succeed: fresh thinking, outside perspectives, curiosity, a willingness to rebuild, and the right teamenGen's vision is transforming healthcare by supporting members on their whole health journey and creating seamless experiencesSmarter data with AI-enabled APIs that make information easy to use across different needsWhy speed matters but not at the cost of security and trustA Little About Vishal and Mike:Vishal brings over 2 decades of technology and business transformation experience in the Health Care industry. He specializes in the infusion and adoption of new-age technologies into today's complex ecosystem that enables Payers and Providers to manage, deliver, and reimburse for care. Most recently, he has focused on real-world use of AI to augment technologists, operators, and business experts to meaningfully change how Health Care systems support their stakeholders. Mike comes to enGen with over 25 years of experience in technology and operations within both the health care and financial services industries. For the past 20 years, he consulted with health care organizations in transforming their businesses through technology-enabled solutions and large-scale business transformations specifically focused in core administration and service transformation . Mike leads enGen's person-centric solutions focused on digital, clinical and provider transformation that puts the member and patient at the center of their healthcare journey.

If most companies are using the same AI systems, how can they stand out and get ahead? And as agentic AI becomes table stakes, what do enterprises need to keep in mind to make AI work? And how can we even trust an AI-powered workplace when most people can't even explain the basics of AI? We're learning from the experts. Accenture's Mary Hamilton joins the Everyday AI show to talk about building trust in an autonomous workplace, how we can prepare for the future of work, and four emerging AI trends you can't miss. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:AI-Powered Autonomy Shaping Future WorkGenerative AI's Impact on Business TransformationAccenture Technology Vision 2025 OverviewKey Trends: Autonomy and Enterprise AI AdoptionHuman Capability Expansion via AI ToolsTrust, Explainability, and Responsible AI PracticesAgentic AI Models and Productivity ShiftsContinuous Learning Loops in Workplace AIAI-Powered Robotics and Multimodal IntegrationPersonalization and Brand Voice with AI AgentsTimestamps:00:00 "AI's Impact on Business Autonomy"03:33 Accenture's Global Consultancy Overview09:48 Technology as a Game-Changing Partner12:16 Reinventing Responsible Tech Use14:31 Building Trust Through AI Interactions18:17 Building Trust in Enterprise Data23:20 Embracing AI: Active Learning Loop26:24 "Embracing Efficiency with AI Agents"Keywords:AI powered autonomy, generative AI, large language models, future of work, automation, business transformation, Accenture, innovation centers, strategic visioning, co-creation, ecosystem partners, digital core, technology consultancy, technology reinvention, enterprise AI adoption, operational efficiency, Technology Vision 2025, AI trends, human-like capabilities, language barrier, technology acceleration, digital agents, digital transformation, customer interaction, trust in AI, responsible AI, data platform, knowledge graphs, AI-driven robotics, warehouse automation, personalization at scale, brand voice in AI, digital twin, agentic models, observability, traceability, explainability, continuous learning loop, employee upskilling, generative AI productivity, change management, value-driven outcomes, super agents, utility agents, orchestrator agents, AI partner, human agency, AI collaboration, AI model accuracy, enSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

Você já pensou em como a Inteligência Artificial generativa está transformando o jeito que grandes empresas criam produtos digitais?Neste episódio, conversamos com o time do Grupo Boticário para entender como a companhia está unindo tecnologia e inovação para transformar o futuro da beleza. Exploramos como a GenAI vem impulsionando o desenvolvimento de produtos digitais e potencializando o trabalho de analistas, times de produto e engenharia com ferramentas.Falamos sobre os bastidores da Semana de IA GB, os aprendizados que ela trouxe para o negócio e como a GenAI está ajudando os times a ganharem eficiência e profundidade nas análises.Se você quer entender como uma das maiores empresas de beleza do país está moldando sua cultura de produto e engenharia para o futuro, esse episódio é para você!Lembrando que você pode encontrar todos os podcasts da comunidade Data Hackers no Spotify, iTunes, Google Podcast, Castbox e muitas outras plataformas.Convidados:Bruno Fuzetti Penso - Gerente Sênior de PlataformaThayana Borba - Gerente Sênior de Produtos DigitaisJoão Alves De Oliveira Neto - Gerente Sênior Produtos de DadosNossa Bancada Data Hackers:Paulo Vasconcellos — Co-founder da Data Hackers e Principal Data Scientist na Hotmart.Monique Femme — Head of Community Management na Data HackersCanais do Grupo Boticário:LinkedIn do GBPágina de vagas do GBInstagram do GBReferências:Plataforma de Desenvolvimento (Alquimia)https://github.com/customer-stories/grupoboticariohttps://medium.com/gbtech/plataforma-do-desenvolvimento-grupo-botic%C3%A1rio-61b1aaddbc9bhttps://medium.com/gbtech/opentelemetry-na-nova-plataforma-de-integra%C3%A7%C3%A3o-350e744b6a5fhttps://aws.amazon.com/pt/solutions/case-studies/grupo-boticario-summit/

Everyone's talking about Sora 2.

Between the future of search, the biggest threats in cybersecurity, and the jobs and platforms of tomorrow, Nikesh Arora sees one common thread connecting and transforming them all—AI. Sarah Guo and Elad Gil sit down with Nikesh Arora, CEO of cybersecurity giant Palo Alto Networks, to talk about a wide array of topics from agentic AI to leadership. Nikesh dives into the future of search, the disruptive potential of AI agents for existing business models, and how AI has both compressed the timeline for cyberattacks as well as fundamentally shifted defense strategies in cybersecurity. Plus, Nikesh shares his leadership philosophy, and why he's so optimistic about AI.  Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @nikesharora | @PaloAltoNtwks  Chapters: 00:00 – Nikesh Arora Introduction 00:39 – Nikesh on the Future of Search 04:46 – Shifting to an Agentic Model of Search 08:12 – AI-as-a-Service 16:55 – State of Enterprise Adoption 20:15 – Gen AI and Cybersecurity 27:35 – New Problems in Cybersecurity in the AI Age 29:53 – Deepfakes, Spearfishing, and Other Attacks 32:56 – Expanding Products at Palo Alto 35:49 – AI Agents and Human Replaceability  44:28 – Nikesh's Thoughts on Growth at Scale 46:52 – Nikesh's Leadership Tips 51:14 – Nikesh on Ambition 54:18 – Nikesh's Thoughts on AI 58:21 – Conclusion

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 

In this episode, Marc and Vassilis discuss news that caught their attention over the last couple of weeks , including the dangers of discounting, Nike's strategic marketing efforts, the significance of attention in advertising, Meta's new ad-free subscription model, insights on Gen AI, and Anthropic's brand campaign for Claude. They emphasize the importance of relevance and identity in marketing strategies, as well as the evolving landscape of advertising in the digital age.Enjoy the show!Follow Our Updates⁠⁠LinkedIn: https://www.linkedin.com/company/sleeping-barber/https://www.sleepingbarber.caGet in touch with our hosts:Marc Binkley: ⁠⁠https://www.linkedin.com/in/marcbinkley/Vassilis Douros: https://www.linkedin.com/in/vassilisdouros/TakeawaysDiscounting can lead to a death spiral for profits.Nike is increasing its marketing budget ahead of major events.High attention media yields better advertising results.Meta's ad-free subscription model tests consumer willingness to pay.The Gen AI race is unfolding slowly, requiring strong branding.Attention is a proxy for advertising effectiveness.Relevance in advertising is crucial for consumer engagement.Brands must focus on identity and values to differentiate.The advertising landscape is shifting towards privacy and consent.Understanding customer needs is essential for effective marketing.Timestamps:00:00 - Introduction and Overview00:58 - The Perils of Discounting in Marketing05:27 - Nike's Strategic Marketing Moves09:58 - The Importance of Attention in Advertising14:37 - Meta's Ad-Free Subscription Model19:10 - Insights on Gen AI Marketing23:48 - Anthropic's Brand Campaign for ClaudeAd of the week:Anthropic just dropped its first major paid brand push for Claude, the AI model it develops. The campaign — titled “Keep Thinking” — positions Claude not as a gimmicky tool but as a thinking partner for serious problem solvers.https://youtu.be/FDNkDBNR7AM

Gen AI tools can run skills in minutes, but is that the time savings that counts? Or should we think about the whole process from question to final work product. How much time does it really take to “verify” your results. And where should that time be spent? Tune in to this podcast to explore the answers. Moderator: @Christiane Matuch - Legal Innovation Manager, Greenberg Traurig, LLP   Speaker: @Tyler Alexander - Director, AI Reliability, Thomson Reuters Recorded on 10-02-2025.

You definitely missed this AI drop

Amanda Cupido doesn't speak Spanish or French. But using AI, she and her team helped a global nonprofit make their internal podcast more accessible to as many employees as possible. Amanda is an audio producer and the founder of a production company called Lead Podcasting. One of her clients is a global nonprofit with over 35,000 employees—and not all of them speak English. So she made them a pitch: what if they added AI into the mix? They would make the podcast in English, and then use generative AI voice tools to translate it into Spanish and French—with a lot of human oversight, of course. Driven by a desire to use these tools for good, the goal was never to replace people, but to reach more people, and it worked.On this episode, Amanda shows what it's like—and what it sounds like—to make a podcast with AI that's still human at its core.You can learn more about Lead Podcasting at leadpodcasting.com~ ~ ~Working Smarter is brought to you by Dropbox Dash—the AI universal search and knowledge management tool from Dropbox. Learn more at workingsmarter.ai/dashYou can listen to more episodes of Working Smarter on Apple Podcasts, Spotify, YouTube Music, Amazon Music, or wherever you get your podcasts. To read more stories and past interviews, visit workingsmarter.aiThis show would not be possible without the talented team at Cosmic Standard: producer Dominic Girard, sound engineer Aja Simpson, technical director Jacob Winik, and executive producer Eliza Smith. Special thanks to our illustrators Justin Tran and Fanny Luor, marketing consultant Meggan Ellingboe, and editorial support from Catie Keck. Our theme song was composed by Doug Stuart. Working Smarter is hosted by Matthew Braga. Thanks for listening!

Send us a textReplay Episode: Python, Anaconda, and the AI Frontier with Peter WangPeter Wang — Chief AI & Innovation Officer and Co-founder of Anaconda — is back on Making Data Simple! Known for shaping the open-source ecosystem and making Python a powerhouse, Peter dives into Anaconda's new AI incubator, the future of GenAI, and why Python isn't just “still a thing”… it's the thing.From branding and security to leadership and philosophy, this episode is a wild ride through the biggest opportunities (and risks) shaping AI today.Timestamps: 01:27 Meet Peter Wang 05:10 Python or R? 05:51 Anaconda's Differentiation 07:08 Why the Name Anaconda 08:24 The AI Incubator 11:40 GenAI 14:39 Enter Python 16:08 Anaconda Commercial Services 18:40 Security 20:57 Common Points of Failure 22:53 Branding 24:50 watsonx Partnership 28:40 AI Risks 34:13 Getting Philosophical 36:13 China 44:52 Leadership StyleLinkedin: linkedin.com/in/pzwangWebsite: https://www.linkedin.com/company/anacondainc/, https://www.anaconda.com/Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

In episode 155 of Cybersecurity Where You Are, Tony Sager is joined by John Gilligan, President and Chief Executive Officer (CEO) of the Center for Internet Security® (CIS®). Together, they reflect on 25 years of progress for CIS and look ahead to the future. They explore the driving forces behind "CIS 2.0," including the shift toward addressing multidimensional threats, expanding CIS's audience, and leveraging tools driven by generative artificial intelligence (GenAI). Their discussion highlights how CIS is adapting to a new era while staying true to its mission-driven roots and foundational principles. Here are some highlights from our episode:01:11. The need for a mission-driven nonprofit to support the role of government04:28. Understanding the primary catalyst behind CIS 2.005:53. Multidimensional threats, expanded audiences, and revamped tools as adaptive opportunities12:57. The challenge of linking technology risk to operational risk13:45. How attackers tend to be more systems-level thinkers than defenders15:50. Culture as a support system for navigating the evolving skills and processes of CIS 2.022:24. Collaboration, partnerships, mission focus, and culture as foundational CIS elements31:11. How our engagement with state and local governments, thought leadership, and products and services will change going forward40:47. Parting thoughts and an important reminderResources25 Years of Creating Confidence in the Connected WorldEpisode 119: Multidimensional Threat Defense at Large EventsStrengthening Critical Infrastructure: SLTT Progress & PrioritiesEnhanced Cyber Resilience as a Secure Cyber CityThe CIS Security Operations Center (SOC): The Key to Growing Your SLTT's Cyber MaturityEpisode 115: Continuous Feedback as CIS Employee CultureEpisode 125: How Leadership Principles Influence CIS CultureCIS CultureCIS CommunitiesEpisode 97: How Far We've Come preceding CIS's 25th BirthdayWhy Whole-of-State Cybersecurity Is the Way ForwardAn Introduction to Artificial IntelligenceReasonable CybersecurityIf you have some feedback or an idea for an upcoming episode of Cybersecurity Where You Are, let us know by emailing podcast@cisecurity.org.

Send us a textReplay Episode: Python, Anaconda, and the AI Frontier with Peter WangPeter Wang — Chief AI & Innovation Officer and Co-founder of Anaconda — is back on Making Data Simple! Known for shaping the open-source ecosystem and making Python a powerhouse, Peter dives into Anaconda's new AI incubator, the future of GenAI, and why Python isn't just “still a thing”… it's the thing.From branding and security to leadership and philosophy, this episode is a wild ride through the biggest opportunities (and risks) shaping AI today.Timestamps: 01:27 Meet Peter Wang 05:10 Python or R? 05:51 Anaconda's Differentiation 07:08 Why the Name Anaconda 08:24 The AI Incubator 11:40 GenAI 14:39 Enter Python 16:08 Anaconda Commercial Services 18:40 Security 20:57 Common Points of Failure 22:53 Branding 24:50 watsonx Partnership 28:40 AI Risks 34:13 Getting Philosophical 36:13 China 44:52 Leadership StyleLinkedin: linkedin.com/in/pzwangWebsite: https://www.linkedin.com/company/anacondainc/, https://www.anaconda.com/Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

In this special episode, Harvard Kennedy School Professor Stephen Goldsmith and Harvard University Graduate School of Design Professor Charles Waldheim co-host a podcast crossover. Pr. Waldheim, host of the Future of the American City podcast and Director of the Office for Urbanization, speaks with Pr. Goldsmith about neighborhood regeneration, community-driven adaptation, and how to incorporate data into established decision-making routines. Music credit: Summer-Man by KetsaAbout Data-Smart City SolutionsData-Smart City Solutions, housed at the Bloomberg Center for Cities at Harvard University, is working to catalyze the adoption of data projects on the local government level by serving as a central resource for cities interested in this emerging field. We highlight best practices, top innovators, and promising case studies while also connecting leading industry, academic, and government officials. Our research focus is the intersection of government and data, ranging from open data and predictive analytics to civic engagement technology. We seek to promote the combination of integrated, cross-agency data with community data to better discover and preemptively address civic problems. To learn more visit us online and follow us on Twitter. 

In our latest episode, Michelle Lee (IDEO Play Lab) makes the case that play unlocks the next billion-dollar AI market. She reminds us that kids don't stop at answers—they ask what if and turn shoes into cars or planes. That divergent mindset is exactly what product teams have lost.“Play is one of the best ways to challenge the norms, to think wide, imagine new possibilities.”Michelle shares:* How IDEO discovered billion-dollar opportunities (like PillPack, later acquired by Amazon) by staying curious.* Why teams should sometimes use older, glitchier versions of AI tools, because the “mistakes” spark better ideas.* Why incrementalism burns teams out and how designing for attitudinal loyalty beats chasing short-term metrics.

AI tools are now being sold with the promise of doing all sorts of routine tasks for teachers.We talk to Brad Robinson (Texas State University) about one such tool – MagicSchool AI – and the growing temptation for teachers to let GenAI do their work for them.Accompanying reference >>>  Robinson, B. & Leander, K. (2025). ‘I hope this email finds you well': how synthetic affect circulates through MagicSchool AI. Learning, Media and Technology, 1-13

Is this the AI agent we've all been waiting for?

All links and images can be found on CISO Series. This week's episode is hosted by David Spark, producer of CISO Series and Mike Johnson, CISO, Rivian. Joining them is Pavi Ramamurthy, global CISO and CIO, Blackhawk Network. In this episode: We can't promise safe, but we can promise ready Are we accidentally building security nightmares? Being held accountable for things you had no say in The safe space problem in vendor evaluation Huge thanks to our sponsor, Adaptive Security Sponsored by Adaptive Security — the first cybersecurity company backed by OpenAI. Adaptive helps security leaders defend against AI-powered social engineering threats like deepfakes, vishing, and GenAI phishing with advanced phishing simulations and next-generation security awareness training. Adaptive's new AI Content Creator enables teams to instantly convert threat intelligence and compliance updates into interactive, multilingual training — no instructional design required. Trusted by Fortune 500s and backed by Andreessen Horowitz and the OpenAI. Learn more at http://www.adaptivesecurity.com

I did an interview with JoyReign and JDun talking about all of the latest announcements from Meta Connect 2025 focusing a lot on the biggest news from Meta Horizon including their new Studio and Engine. We also talk a bit about the other VR demos that were being shown at Meta Connect, and what they're the most excited about coming out of Meta Connect 2025. JoyReign also talks about developing the VR game Crystal Frenzy within Horizon Worlds, and which parts of GenAI she found to be the most helpful. They also won the Amplifier Award at the Meta Horizon Creator Summit that was being held ahead of Connect. We also chat a bit about how Meta was also promoting different mobile phone games on their Horizon platform including Super Strike, Battle Kin, Shovel Up, Smash Golf early access, and Bumble Dudes. You can also see more context in the rough transcript below. This is a listener-supported podcast through the Voices of VR Patreon. Music: Fatality

If you think AI is about flashy tools or abstract futures, think again. In this solo Huddles Quick Take, CMO Huddles founder Drew Neisser shares a pragmatic look at how B2B marketing leaders are actually using GenAI to drive results today—and what still gets in the way. From nurturing “vibe coders” to prompt libraries to CFO briefings, Drew maps out four essential areas where GenAI is already reshaping the work of modern CMOs. Plus, he offers a sharp reminder: If you're not leading the charge, someone else will. What You'll Learn:  4 practical ways B2B CMOs are using GenAI now  The role of “marketing MacGyvers” in early adoption  Why GenAI rollouts fail without training and clear use cases  A smarter way to evaluate AI tools—without bloating your stack  For full show notes and transcripts, visit https://renegademarketing.com/podcasts/ To learn more about CMO Huddles, visit https://cmohuddles.com/

Gen AI workshops turn theory into action by immersing employees in real-world problem-solving, building confidence, sparking innovation, and driving results through hands-on learning. That's the key take-away message of this episode of the Wise Decision Maker Show, which talks about the Gen AI workshops sparking a paradigm shift.This article forms the basis for this episode: https://disasteravoidanceexperts.com/inside-the-gen-ai-workshops-sparking-a-paradigm-shift/

Connect to John Gilroy on LinkedIn   https://www.linkedin.com/in/john-gilroy/ Want to listen to other episodes? www.Federaltechpodcast.com Ten years ago, Nutanix exploded on the federal scene. By now, just about every listener has heard of Nutanix partnering with the federal government in a wide range of projects. Today, an update with Greg O'Connell from Nutanix. He demonstrates how federal agencies can leverage Nutanix's experience to achieve mission success across various cloud environments. During the interview, O'Connell gives a basic comparison of multi-cloud vs. hybrid cloud. From his perspective, a multi-cloud environment includes one or more public cloud providers. A hybrid cloud enables a system that combines on-premises infrastructure with public cloud services. This allows a single, integrated environment, providing more control over access, compliance, and ability to connect with legacy systems. Existing applications and data always present a challenge in moving to the scalability and flexibility of the cloud. Nutanix brings to federal technology its ability to work with legacy systems in a system that has been evaluated over time. Most federal leaders may wonder what is taking place in other agencies. To that end, Nutanix provides an annual report on cloud activities. The 7th Annual Nutanix Enterprise Cloud Index Report highlights that 94% of US government entities utilize AI, but 76% require infrastructure improvements. Liten to this podcast to get an update on innovation from Nutanix and download the report to gain a better understanding of activities in the federal tech community.            

Bienvenue au royaume des enfumeurs XXL : ici, on vend la Tour Eiffel, on fait disparaître des milliards et… on “élève la conscience mondiale” avec des open spaces et du kombucha gratuit.Tu t'en doutes... ça finit en faillite, en série Apple, mais surtout en masterclass d'arnaque servie par Adam Neumann, le gourou du “We don't Work”.Un moment d'égarement, la chronique animée par Laurent Guérin, qui traite avec humour des échecs les plus retentissants de la tech.***** À PROPOS DE TRENCH TECH *****LE talkshow « Esprits Critiques pour Tech Ethique »Écoutez-nous sur toutes les plateformes de podcast

In a new pharmaphorum podcast, web editor Nicole Raleigh spoke with Anthony Cilento, vice president, data science & customer insights, at Bayer, in a post-Axtria Ignite 2025 discussion on the conference and agentic AI more generally. Cilento speaks to the advancement from GenAI to agentic AI, what's changed for his own team in this regard and what's required by way of a culture shift more generally, as well as speaking to the changes necessary in the advanced therapies space when it comes to commercialisation. You can listen to episode 206a of the pharmaphorum podcast in the player below, download the episode to your computer, or find it - and subscribe to the rest of the series – on Apple Podcasts, Spotify, Overcast, Pocket Casts, Podbean, and pretty much wherever else you download your other podcasts from.

Is Apple serious about AI now with a new internal model?

English is now an API. Our apps read untrusted text; they follow instructions hidden in plain sight, and sometimes they turn that text into action. If you connect a model to tools or let it read documents from the wild, you have created a brand new attack surface. In this episode, we will make that concrete. We will talk about the attacks teams are seeing in 2025, the defenses that actually work, and how to test those defenses the same way we test code. Our guides are Tori Westerhoff and Roman Lutz from Microsoft. They help lead AI red teaming and build PyRIT, a Python framework the Microsoft AI Red Team uses to pressure test real products. By the end of this hour you will know where the biggest risks live, what you can ship this quarter to reduce them, and how PyRIT can turn security from a one time audit into an everyday engineering practice. Episode sponsors Sentry AI Monitoring, Code TALKPYTHON Agntcy Talk Python Courses Links from the show Tori Westerhoff: linkedin.com Roman Lutz: linkedin.com PyRIT: aka.ms/pyrit Microsoft AI Red Team page: learn.microsoft.com 2025 Top 10 Risk & Mitigations for LLMs and Gen AI Apps: genai.owasp.org AI Red Teaming Agent: learn.microsoft.com 3 takeaways from red teaming 100 generative AI products: microsoft.com MIT report: 95% of generative AI pilots at companies are failing: fortune.com A couple of "Little Bobby AI" cartoons Give me candy: talkpython.fm Tell me a joke: talkpython.fm Watch this episode on YouTube: youtube.com Episode #521 deep-dive: talkpython.fm/521 Episode transcripts: talkpython.fm Developer Rap Theme Song: Served in a Flask: talkpython.fm/flasksong --- Stay in touch with us --- Subscribe to Talk Python on YouTube: youtube.com Talk Python on Bluesky: @talkpython.fm at bsky.app Talk Python on Mastodon: talkpython Michael on Bluesky: @mkennedy.codes at bsky.app Michael on Mastodon: mkennedy

Learn how Trellix transformed into a cloud-first security leader through strategic AWS partnership, generating $500M+ pipeline and winning major enterprise deals like Airbus.Topics Include:Trellix's transformation: From legacy McAfee/FireEye to cloud-first cybersecurity solutions with AWSPartnership lessons: How AWS enabled 27-year-old ePolicy Orchestrator's successful cloud migration journeyLegacy transition advice: Embrace innovation, don't follow the "Sears model" of resisting changeAI go-to-market strategy: Dev days, marketplace usage, and Bedrock/Nova integrations driving customer adoptionCustomer AI concerns: Addressing data security fears and proving AI doesn't train on customer dataIntegration philosophy: XDR connects with AWS native services and even competitor tools seamlessly$12M Airbus win: Six-country enterprise deal showcasing collaborative sales across AWS teams and marketplaceFuture opportunities: AI-powered threat detection innovations and $500M+ pipeline through AWS marketplaceParticipants:Taylor Mullins - Sr. Solutions Architect, TrellixBrian Shadpour - General Manager, Security B2B Software Sales, Amazon Web ServicesFurther Links:Trellix: Website – LinkedIn – AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

How is Generative AI (GenAI) altering how we work? What can federal agencies leaders do to strategically integrating GenAI into their workforce planning? How can GenAI serve as a collaborative partner, enhancing human capabilities and driving efficiency without displacing the critical human judgment? Join host Michael J. Keegan as he explores these questions and more with Professor William Resh from the Andrew Young School of Policy Studies, Georgia State University and author of the IBM Center report GenAI and the Future of Government Work. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This and all episodes at: https://aiandyou.net/ . As we use AI more and more as a critical assistant, what might that be doing to our critical thinking? Professor Michael Gerlich has published his research in the paper “AI Tools In Society: Impacts On Cognitive Offloading And The Future Of Critical Thinking” in the journal Societies. He showed that younger participants “exhibited higher dependence on AI tools and lower critical thinking scores compared to older participants.” That's the sort of result that demands we pay attention at a time when AI is being increasingly used by schools and students. Michael is the Head of Center for Strategic Corporate Foresight and Sustainability at SBS Swiss Business School. His research and publications largely focus on the societal impact of Artificial Intelligence, which has made him in demand as a speaker around the world. He's also taught at the London School of Economics and Political Science, Cambridge, and other institutions. He's also been an adviser to the President and the Prime Minister of Kyrgyzstan, the Uzbekistan Cabinet, and Ministers of economic affairs in Azerbaijan. We talk about “cognitive offloading” and the use of GenAI. Why is it different from using calculators, which were widely forecast to cause math skills to atrophy and were banned from schools, and we since learned better. Michael will look at how AI like the big agents that might come with workplace IT systems help or hinder in knowledge work, and consequences for on-the-job training. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.        

Are your tests falling behind your requirements? Check out our new AI Requirement course here: https://testguild.me/aireqcourse In this special highlight episode, Joe Colantonio shares lessons from a new course created with Keysight: Turning Requirements into Reliable Tests with AI-Augmented Design. You'll hear from AI strategist Noelle Russell, Keysight's Chief AI Officer Jonathon Wright, and product expert Ian Sharp as they explore: Why responsible AI is like raising a baby tiger — exciting but dangerous if ignored. The hidden costs of manual test design and why happy-path testing isn't enough. How AI-powered tools like Keysight Generator transform natural language requirements into reliable, traceable test cases in minutes. If you're a tester, automation engineer, or QA leader looking to cut weeks of manual scripting, improve coverage, and finally align tests with real requirements — this episode is for you. Check out the full Keysight course here: https://testguild.me/aireqcourse Become one of our Automation Guild 2026 speakers: https://testguild.me/agspeak

Between the bold predictions, VC economics, and rising usage-patterns are stories of limited ROIs, undefined use-cases and associated job losses. AI is in an awkward phase of maturity and it's not clear how it will evolve into the next phase. SHOW: 962SHOW TRANSCRIPT: The Cloudcast #962 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW 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[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”.SHOW NOTES:THE SPECTRUM OF AIThe early years of the Internet, we tried to replicate physical-based activitiesThe early years of the Internet, the whole industry/world-economy wasn't depending on “the next thing”The early years of AI, “the leaders” are talking about curing cancer and double human longevityCloud had “lift and shift”; AI has “get everyone a GenAI license”Where is the middle? Where is the rational discussion?Massive FundingMassive # of Consumer UsersFrom Ed to Sam, from Dario to Satya, from Jensen to Larry …. Big spectrums of opinionsUnprofitable (except NVIDIA, Broadcom)Near monopoly of GPUs by NVIDIAEvery couple months, the landscape seems to shift (OpenAI partners, Leading models, Questionable Enterprise ROI - lots of “we gave everyone GenAI, but we don't know how to measure it”Companies are laying off workers, or avoiding hiring because of promises of AIUnknown “killer” use-cases beyond chatbots, therapy, developer-assistants, writing, document handlingToday's mantra is “Rub some AI Agents on it”FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

Security leaders from CyberArk, Fortra, and Sysdig share actionable strategies for securely implementing generative AI and reveal real-world insights on data protection and agent management.Topics Include:Panel explores practical security approaches for GenAI from prototype to productionThree-phase framework discussed: planning, pre-production, and production security considerationsSecurity must be built-in from start - data foundation is criticalUnderstanding data location, usage, transformation, and regulatory requirements is essentialFortra's security conglomerate approach integrates with AWS native tools and partnersMachine data initially easier for compliance - no PII or HIPAA concernsIdentity paradigm shift: agents can dynamically take human and non-human roles97% of organizations using AI tools lack identity and access policiesSecurity responsibility increases as you move up the customization stackOWASP Top 10 for GenAI addresses prompt injection and data poisoningRigorous model testing including adversarial attacks before deployment is crucialSysdig spent 6-9 months stress testing their agent before production releaseTension exists between moving fast and implementing proper security controlsDifferent security approaches needed based on data sensitivity and model usageZero-standing privilege and intent-based policies critical for agent managementMulti-agent systems create "Internet of Agents" with exponentially multiplying risksDiscovery challenge: finding where GenAI is running across enterprise environmentsAPI security and gateway protection becoming critical with acceptable latencyTop customer need: translating written AI policies into actionable controlsThreat modeling should focus on impact rather than just vulnerability severityParticipants:Prashant Tyagi - Go-To-Market Identity Security Technology Strategy Lead, CyberArkMike Reed – Field CISO, Cloud Security & AI, FortraZaher Hulays – Vice President Strategic Partnerships, SysdigMatthew Girdharry - WW Leader for Observability & Security Partnerships, Amazon Web ServicesFurther Links:CyberArk: Website – LinkedIn – AWS MarketplaceFortra: Website – LinkedIn – AWS MarketplaceSysdig: Website – LinkedIn – AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

"85% of AI use cases are being evaluated by the engineer who built it saying, 'yep, seemed to work pretty well.' If you're gonna build a system that's going to be critical to the business, that's going to be important that it gets it right, then you can't do that without evaluations." - Craig Wiley Fresh out of the studio, Craig Wiley, Senior Director of Product Management at Databricks who leads Mosaic AI, joins us to discuss the forefront of enterprise AI from model development to deployment at scale. Beginning with his career journey in ML operations, Craig explained how he recognized the critical connection between data and AI layers that could deliver order-of-magnitude acceleration in development cycles. Emphasizing the transition from classical ML operations to LLM operations, he showcased how Databricks' unified platform eliminates training-serving skew through data lineage capabilities and supports both fine-tuning and RAG approaches depending on industrial use case requirements. Highlighting compelling customer success stories including Suncorp's employee productivity platform and AstraZeneca's transformation of 400,000 clinical trial documents into queryable insights, Craig revealed a striking reality about enterprise AI evaluation - that 85% of AI use cases are being evaluated only by the engineers who built them, reinforcing that proper evaluation frameworks remain foundational for trustworthy AI implementation. He concluded by introducing Agent Bricks as Databricks' evaluation-centric approach to building production agents, emphasizing that model flexibility and rigorous testing are essential for enterprises moving from experimentation to production, while sharing his vision that the industry must evolve from the "year of agents" to the "year of evaluation and quality." Episode Highlights: [00:00] Quote of the Day by Craig Wiley [01:21] How Craig Wiley started his work in ML Ops that led him to Databricks [02:43] Data and AI layer connection creates order-of-magnitude acceleration [03:47] Mosaic AI acquisition expanded Gen AI solution capabilities [04:38] Classical ML statistics versus Gen AI evaluation challenges [05:48] Mosaic AI covers end-to-end from data ingestion [07:12] Training-serving skew eliminated through unified platform lineage [08:51] Fine tuning versus RAG depends on use case [10:49] Industrial agents benefit from fine-tuned smaller models [12:44] Common governance scheme covers tables through model access [13:52] Agent Bricks prioritizes accuracy over simplicity alone [15:44] Model flexibility crucial for speed and accuracy optimization [16:54] AB testing different models shows immediate performance differences [17:59] Suncorp and AstraZeneca demonstrate diverse AI applications [19:37] Asia Pacific shows aggressive AI adoption strategies [20:59] CFO approval requires proven agent effectiveness evaluation [22:00] 85% of AI cases evaluated only by building engineer [23:20] Model agnostic approach beats single-vendor AI strategies [24:12] Industry terminology evolves rapidly from RAG to agents [25:39] Customer creativity with governance capabilities inspires product development Profile: Craig Wiley, Senior Director of Product Management at Databricks and Mosaic AI LinkedIn: https://www.linkedin.com/in/craigwiley/ Podcast Information: Bernard Leong hosts and produces the show. The proper credits for the intro and end music are "Energetic Sports Drive." G. Thomas Craig mixed and edited the episode in both video and audio format. Here are the links to watch or listen to our podcast. Analyse Asia Main Site: https://analyse.asia Analyse Asia Spotify: https://open.spotify.com/show/1kkRwzRZa4JCICr2vm0vGl Analyse Asia Apple Podcasts: https://podcasts.apple.com/us/podcast/analyse-asia-with-bernard-leong/id914868245 Analyse Asia LinkedIn: https://www.linkedin.com/company/analyse-asia/ Analyse Asia X (formerly known as Twitter): https://twitter.com/analyseasia Sign Up for Our This Week in Asia Newsletter: https://www.analyse.asia/#/portal/signup Subscribe Newsletter on LinkedIn https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7149559878934540288

I wanted this conversation to do two things at once. First, ground the hype in real practice. Second, show how a small country can punch well above its weight by connecting industry, academia, and government with purpose. With Chantelle Kiernan from IDA Ireland and Stephen Flannagan from Eli Lilly and Company, we explored what digital transformation really looks like on the factory floor in Ireland, why talent is the engine behind it, and how cross-sector collaboration is turning ideas into measurable outcomes. Ireland's manufacturing base employs hundreds of thousands and fuels exports, yet what stands out is the shared mindset. The shift toward Industry 5.0 puts people at the center while using digital, disruptive, and sustainable technologies to rethink production. Eli Lilly's experience shows how a digital-first culture changes everything. New sites start paperless by default. Established plants raise their game through micro-learning, data-driven problem solving, and champions who model the behavior. The message is simple. Technology only sticks when people see clear value and have the skills to act on it. From pilots to site-wide change Here's the thing. The strongest wins come from a strategic, site-wide approach rather than isolated pilots. Maturity assessments across pharma sites in Ireland revealed common patterns, shared bottlenecks, and repeatable opportunities. That insight helps teams justify investment, sharpen ROI arguments, and accelerate adoption without slowing production. Reinvestment in legacy facilities becomes a long-term advantage when you connect equipment, data, and people with a clear plan. This is where Ireland's ecosystem shows its class. Purpose-built centers like Digital Manufacturing Ireland, NIBRT, IMR, and I-FORM give teams a place to test before they invest. Indigenous tech SMEs sit at the same table as global pharma leaders and large tech firms, which means collaboration moves faster. When 50 percent or more of new R&D projects cite academic partnerships, you know something healthy is happening. Skills, STEM, and the mindset shift Upskilling came through as the decisive enabler. IDA Ireland supports companies with skills needs analysis and access to training. Universities co-create relevant courses. Micro-credentials and immersive apprenticeships build confidence on the shop floor. Stephen's point about micro-learning hit home. People learn best when they can apply knowledge to a problem they care about, right now. That keeps momentum high and spreads digital competence across teams without waiting on giant projects. Barriers still exist. Defining ROI, coping with regulatory complexity, and balancing change with daily production are real challenges. Culture is the swing factor. Leaders who set the tone, create space for experiments, and reward progress see faster results. GenAI is already shifting attitudes by improving personal productivity, which naturally opens minds to operational use cases like predictive maintenance, knowledge capture, and quality improvements. What comes next If the last decade was about connecting machines, the next decade will be about connecting knowledge. Expect smarter, greener, and more multidisciplinary manufacturing. AI will sit alongside advanced materials and sustainable design. The most resilient sites will combine agile infrastructure with strong learning cultures, so they can absorb change rather than resist it. Ireland's model of collaboration gives a useful signal. When industry, government, and academia align around shared outcomes, the runway gets longer and the takeoff gets smoother. This episode is about the practical choices that make transformation real. Strategic assessments. Shared R&D spaces. Cohorts of digital champions. And a relentless commitment to skills. It is a story of steady progress that scales, and a reminder that the future belongs to teams who can learn faster together. ********* Visit the Sponsor of Tech Talks Network: Land your first job  in tech in 6 months as a Software QA Engineering Bootcamp with Careerist https://crst.co/OGCLA

Google rewrites 70% of meta descriptions anyway, making AI-generated production at scale largely irrelevant. Tom Mansell from Croud, who manages enterprise SEO strategies across multiple markets, argues that meta descriptions are becoming obsolete as zero-click search reduces their primary value proposition. The discussion explores the declining importance of meta descriptions versus title tags for AI automation, the risk assessment framework for implementing GenAI at scale, and predictions for meta descriptions following the same trajectory as meta keywords within three years.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

What does it take to deliver personalized financial guidance to more than 140 million people every single day? That is the question I put to Wan Agus, Head of Engineering at Intuit Credit Karma, in this episode of Tech Talks Daily. Most of us open the Credit Karma app to check our credit score, look at a loan option, or browse for a better credit card. What we rarely consider is the technology running behind the curtain. Wan revealed that his teams are powering more than 60 billion daily AI predictions to understand members' needs, protect their privacy, and guide them toward the right financial choices. He explained why accuracy is everything in fintech. A misplaced recommendation can mean more than a poor customer experience; it can damage someone's credit score and hold back their progress. Our conversation also looked at what happened after Intuit acquired Credit Karma. Two very different tech stacks had to be brought together, and identity systems had to be unified so members could move seamlessly between Credit Karma and products like TurboTax. Wan compared the process to playing two complex board games at once, where success depends on strategy and collaboration. We also explored how Credit Karma is blending traditional AI with generative AI. From early chatbot experiments to today's Wallet Analyzer and Tax Advisor, Wan shared how his teams decide when to push forward with new tools and when to slow down to ensure safety and trust. He also gave us a glimpse into the future, where agent-to-agent technology could bring open banking-style transparency to the U.S. So how do you scale personalization without losing trust? And what can every business leader learn from Credit Karma's balance between speed, culture, and responsibility? I would love to hear your thoughts after listening.

Tim Guleri, Managing Partner at Sierra Ventures, reflects on 25 years in venture capital and his journey from Chandigarh to Silicon Valley. He shares how hands-on experience as a founder shapes his investing philosophy, why early-stage VCs must guide founders toward long-term fundamentals, and why raising too much capital too soon can hurt a company. Tim explains Sierra's disciplined approach to partnering with entrepreneurs, the power of unique customer insight, and his hope that America preserves its structural advantage in entrepreneurship.In this episode, you'll learn:[02:10] From Chandigarh to Silicon Valley: Tim's path to venture and entrepreneurship[04:09] Lessons from Scopus and Octane: Why lived experience matters more than spreadsheets[06:07] How venture “reinvents itself” and demands a learning mindset[11:43] Sierra Ventures' early-stage focus and flexible check sizes[14:33] Why raising the maximum check can backfire[16:44] The Eudia story: Hundreds of customer interviews and unique insights win conviction[23:07] How Sierra selects only ~2 deals per partner each year[27:26] Tim's message to Washington: Don't overregulate America's greatest gift—entrepreneurshipThe nonprofit organization Tim is passionate about: American India FoundationAbout Tim GuleriTim Guleri is a Managing Partner at Sierra Ventures, where he focuses on AI, enterprise software, and emerging technologies. A successful founder turned investor, Tim led Scopus Technology to an IPO and later founded Octane Software, which was acquired for $3B. Since 2001, he has been a hands-on venture capitalist, backing transformative companies and guiding founders with lessons from both entrepreneurial wins and mistakes.About Sierra VenturesSierra Ventures is a Silicon Valley-based early-stage venture capital firm with over $2B in assets under management and more than four decades of experience. Specializing in enterprise infrastructure and emerging technologies, Sierra partners with founders at seed and Series A stages, providing flexible capital, operational expertise, and trusted connections to help startups scale into market leaders. Portfolio companies include Eudia, Yalo, Spectro Cloud, Endor Labs, Phenom People, Planera, Quintessent, Cimulate, among others.Subscribe to our podcast and stay tuned for our next episode.

Make way for the next wave of GenAI..... Agentic AI Browsers. And while we've seen rumors that OpenAI is going all-in on an AI browser, the first big player is already here in Perplexity's Comet Browser. Join us as we break down how Perplexity Comet works, what makes it different, and 5 Business Use-Cases for ROI. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion on LinkedIn :Thoughts on this? Join the convo on today's LinkedIn stream and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Rise of Agentic AI Browsers ExplainedPerplexity Comet's Hybrid AI ArchitectureLocal vs. Virtual Browser Agentic WorkflowsPerplexity Comet Key Features and AccessConnecting Google Services with Comet BrowserAgentic AI Browser Live Demo Use CasesMulti-Platform Personalized Business ResearchAutomated Market Research and Competitive AnalysisPerplexity Comet Cross-Tool Workflow AutomationAgentic AI Browsers vs. Traditional AI ChatbotsTimestamps:00:00 Everyday AI for Business Pros04:56 Agentic AI Browsers Revolutionizing Tech07:49 Advancements in AI Computer Agents09:55 Comet: Chromium-Based Browser Essentials14:43 Streamlining Tasks with Perplexity Integration19:01 AI-Powered Google Drive Personalization21:24 Square: Trusted Business Payment Solutions25:53 Preparing Keynote on Agentic AI29:59 Agentic AI: Revolutionizing Web Browsers31:56 "Agentic AI to Revolutionize Workflows"34:46 Streamlined Scheduling and Market AnalysisKeywords:Perplexity Comet, agentic AI browser, agentic AI, AI browser, business use cases, ROI, Perplexity app, hybrid AI, cloud AI, on-device AI, Comet browser, Chromium, browser automation, multi-platform research, deep research modes, AI desktop assistant, iOS assistant, Google Chrome, browser workflows, Chrome extensions, Microsoft Edge, computer using agents, virtual browser, computer vision, connector integration, Gmail integration, Google Drive integration, calendar management, task automation, prompt engineering, personalized research, market research, competitive analysis, social media automation, email management, calendar automation,Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)Ready for ROI on GenAI? Go to youreverydayai.com/partner Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner