Podcasts about Zendesk

Zendesk went private two weeks before ChatGPT launched, and the moment it came out, it was obvious that customer service would never be the same again. Shashi Upadhyay, head of product, engineering, and AI at Zendesk, joins Craig Smith to explain what the company has built since: a self-improving AI system that doesn't just resolve tickets but learns from every failure, studies what the human did to fix it, and gets measurably better over time. He calls it the resolution learning loop, and for Zendesk's best customers, it's already resolving 70 to 90% of incoming tickets autonomously, up from the 10 to 20% that chatbots managed just a few years ago. The conversation goes deep on the engineering decisions that actually matter: why hallucination is a feature, not a bug, and why the real challenge is knowing exactly when to switch from creative AI to deterministic code; why Zendesk acquired Forethought and what made their approach to going live in days rather than months so valuable; and why, despite all the momentum, Upadhyay estimates we are only about 5% through the adoption of AI in customer service. The bottleneck isn't the technology, it's the change management required to restructure how human and AI workforces operate together. His vision of the end state is striking: personal AI agents talking directly to enterprise AI agents, resolving 90% of issues instantly, while humans focus exclusively on the complex, high-value interactions that genuinely require them. Subscribe to Eye on A.I. for weekly conversations with the people building and deploying the future of AI.

Everyone says seat-based pricing is dead, but do you actually have an outcome you can charge for? In episode #377, Ben Murray breaks down the 12 steps to building an outcome-based pricing plan, drawn from analyzing real, live outcome-based pricing pages and the fine print buried in their terms and conditions. Outcome pricing is complex to design and even harder for customers to understand: when are they charged, and where is the failure point at which they aren't? For SaaS founders and CFOs weighing a move to outcome- or agentic-AI pricing, getting the unit, success criteria, and spend controls right is the difference between a model customers trust and one that creates budget anxiety and billing disputes. How to decide whether you even have a billable outcome, and why a completed customer result is not the same as an activity. How to define the outcome unit and write success criteria twice, with real examples from Intercom's Fin, Help Scout's AI Answers, and Zendesk's 72-hour resolution window. Why failure forgiveness is a conversion tool, not just billing logic, and how measurement windows protect you from outcomes that unravel later. How to choose your commercial structure, anchor price to labor savings, revenue, or risk avoidance, and plan for the training lag before charges begin. Why spend controls and auditable billing events are non-negotiable, and how to know when outcome pricing is the wrong model entirely. Tune in for the full framework, then grab the deep-dive blog post before you design your next AI pricing plan. Resources Mentioned Ben's blog post: 12 Steps to Creating an Outcome-Based Pricing Plan: https://www.thesaascfo.com/how-to-build-outcome-based-pricing/

Send us Fan MailThis week's enterprise software announcements further confirm that the market is rapidly converging around agentic AI, semantic intelligence, and autonomous workflow orchestration. Blue Yonder introduced new AI agents and mobile applications aimed at strengthening supply chain execution and frontline operations, while Zendesk expanded its AI customer service strategy through the acquisition of Forethought. Actian launched an AI analyst designed to convert business glossaries into a live semantic layer, highlighting the growing importance of governed enterprise context for AI-native operations. Meanwhile, ActiveCampaign and Contentsquare announced new capabilities focused on customer engagement and digital experience intelligence. On the enterprise planning side, Anaplan expanded its AI planning portfolio with CoModeler, Custom Analyst, and Agent Studio, while Oracle continued embedding coordinated AI agents directly inside Fusion ERP workflows through its new Fusion Agentic Applications initiative. In parallel, Apollo.io acquired Pocus to strengthen its agentic go-to-market stack, Databricks introduced Lakewatch as an open agentic SIEM platform built on the lakehouse architecture, and Rootstock Software acquired Ascent Solutions to deepen its manufacturing and warehouse execution capabilities.In today's episode, we invited a panel of industry analysts for a live discussion on LinkedIn to analyze current enterprise software stories. We covered many grounds including the direction and roadmaps of each enterprise software vendors. Finally, we analyzed future trends and how they might shape the enterprise software industry.Video: https://www.youtube.com/watch?v=ksS15kccXPcQuestions for Panelists?

In this episode of Medsider Radio, we sat down with Kara Egan, founder and CEO of Teal Health.Teal Health is the company behind the first FDA-authorized at-home cervical cancer screening wand.Before founding Teal, Kara worked in healthcare and software investing at .406 Ventures and Emergence Capital, and held product and marketing roles at Zendesk and Stitch Labs.  In this interview, Kara discusses building support and follow-up into at-home screening, how Teal expanded its comparative clinical study to support broader market adoption, and how healthcare incentives, reimbursement, and institutional trust shape new care models.Before we dive into the discussion, I wanted to mention a few things:First, if you're into learning from medical device founders and CEOs and want to know when new interviews are live, head over to Medsider.com and sign up for our free newsletter.And if you're ready to level up your medtech game, you should check out Medsider Courses — 8-week masterclasses covering topics like fundraising, M&A and exit planning, design and development, clinical and regulatory strategy, and commercialization.These courses, featuring hard-earned lessons from elite medtech CEOs, can be purchased individually or come free with our All-Access Pass.If you'd rather read than listen, here's a link to the full interview with Kara Egan, which includes a link to ScottBot — an AI version of host Scott Nelson trained on every Medsider interview and playbook. Feel free to ask ScottBot any questions you'd like!KEY MOMENTS FROM THE INTERVIEW(02:49) - Kara's background in health technology investing and software that shaped Teal's consumer-first approach (05:14) - How Teal turned the traditional Pap smear into the first FDA-authorized at-home screening product (07:30) - Turning at-home testing, telehealth, and clinician follow-up into a single care experience (13:48) - Raising Teal's first $1M with mockups and consumer-grade design (22:17) - Teal's comparative study that matched physician-collected screening with 96% sensitivity (23:40) - How asking women what they actually wanted changed Teal's view of the market opportunity (32:05) - “Take off the healthcare hat” — Kara's framework for fundraising, incentives, and commercialization (41:48) - What investors actually care about beyond the company's mission

Send us Fan MailThis week's enterprise software announcements highlight how rapidly the market is evolving toward agentic architectures, semantic intelligence, and AI-driven operational orchestration. Anthropic expanded MCP with a framework designed for full-stack agentic applications, reinforcing the industry's push toward composable AI ecosystems. Meanwhile, Hubbl Technologies raised funding to position itself as an intelligence layer for the Salesforce agentic environment, while Salesforce continued broadening its AI footprint through Agentforce for Communications. Sage enhanced the Sage Intacct Suite with new capabilities focused on finance operations, and Sinch introduced a collection of AI agent features targeting customer engagement workflows. On the operational side, Typeface unveiled a marketing orchestration engine, while Blue Yonder announced new AI agents and mobile applications aimed at supply chain execution and workforce enablement. At the same time, Zendesk moved deeper into AI-powered customer support through its acquisition of Forethought, and Actian launched an AI analyst designed to transform business glossaries into a live semantic layer, signaling the growing importance of governed enterprise context for AI-native operations.In today's episode, we invited a panel of industry analysts for a live discussion on LinkedIn to analyze current enterprise software stories. We covered many grounds, including the direction and roadmaps of each enterprise software vendor. Finally, we analyzed future trends and how they might shape the enterprise software industry.Video: https://www.youtube.com/watch?v=NCxtpqQ_vIwQuestions for Panelists?

Direto de Denver, nos Estados Unidos, o Start desta semana acompanha o Zendesk Relate 2026, uma das principais conferências privadas de inteligência artificial do mundo. O evento mostrou como a chamada IA agêntica começa a formar verdadeiras equipes digitais de trabalho, com agentes e copilotos capazes de executar tarefas, interpretar contextos, tomar decisões e atuar de forma integrada, com humanos, dentro das empresas. Mas o cenário brasileiro ainda mostra diferentes estágios de maturidade. Enquanto algumas companhias avançam rapidamente no uso da IA em larga escala, outras ainda esbarram em questões como infraestrutura, integração de sistemas e adaptação das equipes. Nesta edição, você acompanha os principais anúncios dessa inovação e fica sabendo mais como essas mudanças começam a chegar ao mercado brasileiro, em entrevistas com Walter Hildebrandi, CTO da Zendesk; André Jatene, head de Digital do Banco Sofisa; e Mariana Lima, Mariana Lima, gerente de Experiência do Cliente da Construtora Tenda. Com apresentação de Daniel Gonzales, o programa vai ao ar nos canais digitais do Estadão, todas as quartas-feiras.See omnystudio.com/listener for privacy information.

Is per-seat pricing dying a slow death, and is your SaaS expense structure ready for its replacement? In episode #373, Ben Murray breaks down the shift from per-seat subscriptions to usage and outcome-based pricing, and what it means for your finance org. Bloomberg projects subscription pricing falling from 60% to 30% of SaaS models over the next decade, while outcome-based pricing climbs from 10% to 60%. This is no longer a thesis on a slide. GitHub, Salesforce, Zendesk, Intercom, Figma, HubSpot, and others are already repricing, and public companies are reporting AI ARR in the hundreds of millions. If you cannot answer what your AI margins are when the board asks, you are already behind. See exactly how legacy SaaS leaders are repricing, from Zendesk charging per automated resolution to Salesforce billing per AI conversation plus flex credits, and what GitHub's June 1 move to token-based billing signals for the rest of the market. Understand why a single bucket of cloud hosting that blends traditional infrastructure with inference spend leaves you blind, and what instrumentation to put in place before budget season. Learn the questions your board will ask about AI margins, and how to answer whether low-usage customers are quietly subsidizing your heaviest users. Get the case for reconvening your pricing committee now to align product roadmap, AI features, and the expense framework that tracks them. Know which AI unit economics to track by revenue stream and by usage bucket so you can defend margin as your pricing model changes in real time. Listen now and put the tracking framework in place before the AI margin questions land on your desk. Resources Mentioned Ben's blog post: https://www.thesaascfo.com/saas-per-seat-pricing/ New course on AI unit economics and metrics: https://www.thesaasacademy.com/ai-finance-metrics-saas

Today's episode of the Punk CX podcast features a series of interviews that I conducted with Zendesk executives while at Relate, their annual customer event in Denver last week. I talked to Tom Eggemeier, CEO, Zendesk, Shana Simmons, CLO, Zendesk, and Cristina Fonseca, VP Product, Zendesk. Some of the things we cover include the big themes and takeaways from the event, including some background on the big product announcements, AI trust and why trust is a core differentiator, how Zendesk are working with clients to help them build trust with their customers, the future of work and how we can prepare ourselves and our teams for that. This interview follows on from my recent interview – Trust and transparency will be the CX differentiators of the future – Interview with Chris Angus of 8×8 – and is number 588 in the series of interviews with authors and business leaders who are doing great things, providing valuable insights, helping businesses innovate and delivering great service and experience to both their customers and their employees.

Mit tud egy újgenerációs okosszemüveg? Magyarország a Visegrádi Négyek élén MI-használatban A BME-n mutatta be hidrogén–dízel motorját és új fejlesztési platformját a BDN Powertrain Tőzsdére viszik a veszteséggyárat: jön a SpaceX IPO Utolsó pillanatban elhalasztották a SpaceX Starship új generációs rakétájának tesztrepülését Ingyen adják a Tomb Raider-trilógiát! Itt a láthatatlan radar – semmilyen jelet nem bocsájt ki Páratlan ezüstérme bukkant fel, megfejtették, hogyan hívták Esztergomot István király idejében Szökőárak a Földközi-tengeren: több ezer élet múlhat a gyors riasztáson Bosch: az Mi-alapú utasbiztonságtól az önvezető autózásig Az Apple hat év alatt 11 milliárd dollárt spórolt az felhasználóinak A Zendesk új AI-árazása teljesen átírhatja a vállalati szoftverpiacot A további adásainkat keresd a podcast.hirstart.hu oldalunkon. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Mit tud egy újgenerációs okosszemüveg? Magyarország a Visegrádi Négyek élén MI-használatban A BME-n mutatta be hidrogén–dízel motorját és új fejlesztési platformját a BDN Powertrain Tőzsdére viszik a veszteséggyárat: jön a SpaceX IPO Utolsó pillanatban elhalasztották a SpaceX Starship új generációs rakétájának tesztrepülését Ingyen adják a Tomb Raider-trilógiát! Itt a láthatatlan radar – semmilyen jelet nem bocsájt ki Páratlan ezüstérme bukkant fel, megfejtették, hogyan hívták Esztergomot István király idejében Szökőárak a Földközi-tengeren: több ezer élet múlhat a gyors riasztáson Bosch: az Mi-alapú utasbiztonságtól az önvezető autózásig Az Apple hat év alatt 11 milliárd dollárt spórolt az felhasználóinak A Zendesk új AI-árazása teljesen átírhatja a vállalati szoftverpiacot A további adásainkat keresd a podcast.hirstart.hu oldalunkon. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

What if the future of AI is not one all-knowing assistant, but an entire workforce of specialized agents working together behind the scenes? Recorded st Zendesk Relate, this episode features a fascinating conversation with Shashi Upadhyay about where enterprise AI is really heading, and why many businesses are still underestimating the scale of operational change required to make agentic AI work. Shashi explains why Zendesk views AI agents as a new form of digital labor rather than simply another software feature. Instead of building one giant general-purpose assistant, Zendesk is developing coordinated networks of specialized agents designed for specific business functions such as billing, collections, refunds, returns, employee service, and industry-specific workflows across sectors like healthcare, banking, and e-commerce. We also go behind the curtain inside Zendesk itself. Shashi shares how the company has transformed internally from a traditional seat-based SaaS business into an organization focused on measurable outcomes such as automation rates, customer satisfaction, and successful resolutions. He also discusses how AI is changing software development itself, enabling smaller engineering teams to move dramatically faster while reshaping how products are designed and built. The conversation explores some of the biggest themes emerging across the AI industry right now, including outcome-based pricing, AI trust and guardrails, resolution learning loops, embedded AI, and the growing shift toward agent-to-agent interactions where personal AI assistants may eventually negotiate directly with enterprise AI systems on behalf of consumers. We also discuss the fears many people have around jobs and automation. Rather than predicting catastrophic job loss, Shashi argues there is still enormous unmet demand for better service experiences, and that AI may ultimately allow businesses to finally deliver the level of customer experience people have wanted for years. If you're trying to understand where enterprise AI moves next after copilots and chatbots, this conversation offers a clear and thought-provoking look at the systems, workflows, and cultural shifts already reshaping the future of work.

Today’s headline news for Canadian IT solution providers: Dell PowerStore Elite and the reimagined data center: Yesterday at Dell Technologies World, Dell Technologiesintroduced Dell PowerStore Elite, a new enterprise storage platform delivering up to 3x performance over the prior generation and an industry-best 6:1 data reduction guarantee. The platform packs 5.8 petabytes into a single 3U chassis using standards-based E3 NVMe flash, and introduces Dell Cyber Detect, which identifies ransomware with 99.99% accuracy and pinpoints the last known clean copy for recovery. PowerStore Elite ships in July 2026; Cyber Detect for PowerStore follows in Q3. The broader Day 2 announcement also included 11 new PowerEdge servers, expanded Dell Private Cloud support for Broadcom, Microsoft, and Nutanix stacks, Dell PowerProtect One for simplified cyber resilience, and two new automation products: the Dell Automation Platform and Dell Automation Studio. Jeff Clarke’s tokenomics keynote: In Tuesday’s Day 2 keynote at DTW, Dell COO Jeff Clarke presented a set of ten fundamental shifts from the past year whose through-line is what he called tokenomics. The math: model prices fell 80% per token; token consumption is up 10x; GenAI software spend tripled. Net effect – AI is getting more expensive for most organizations, not less. Clarke illustrated the stakes with a concrete example: one developer running a single agentic use case on the public cloud can burn approximately $3,400 per day in token costs; the same workload runs at zero incremental cost on on-premises infrastructure. Clarke confirmed Dell moved its own operations to on-prem after internal token costs became untenable, and described work underway on what he called “token routing” – an orchestration layer that would automatically direct tasks to either a deskside AI workstation or data center hardware based on workload. He closed with three imperatives: know your token consumption, find your super users, and lead the operating model change or be disrupted by it. Intezer launches Amplify Partner Program: Intezer has officially launched its Intezer Amplify Partner Program, naming channel veteran Mark Daggett as vice president of global channels and alliances. The program formalizes Intezer’s channel investment as demand for AI-driven security operations grows and the talent gap in security operations continues to widen. According to Intezer, the program is designed to help MSSPs and solution providers step in where internal security teams lack the capacity to operationalize AI-powered alert triage and threat investigation, translating the company’s platform capabilities into managed and co-managed service offerings. Check Point agentic network security orchestration: Check Point announced an agentic network security orchestration platform on Monday designed to replace decades of rule-based complexity, reducing network policy management from months of manual effort to minutes of verified, automated action. The announcement is part of a broader Check Point push into agentic security capabilities across its Infinity platform. Zendesk unveils Autonomous Service Workforce: At its annual Relate conference, Zendesk announced the Autonomous Service Workforce, a product vision built around specialized AI agents priced per resolution rather than per seat. Key launches include a no-code Agent Builder, omnichannel coverage with shared context, and a real-time Quality Score applied to every interaction – human or AI. Riverbed extends Aternity AIOps: Riverbed has released new Aternity digital experience (DEX) capabilities positioning AIOps as proactive disruption prevention rather than reactive monitoring, giving IT teams predictive intelligence before end-user experience degrades. WinMagic brings zero trust to legacy OT: WinMagic has introduced Continuous Identity Assurance, a hardware-bound approach to endpoint identity that extends zero trust controls to air-gapped systems and legacy operational technology environments traditionally outside the reach of modern identity platforms. Read Full Transcript Welcome to The Buzz from ChannelBuzz.ca, I’m Robert Dutt, today is Wednesday, May 20, 2026, and here’s what’s happening in the channel today. Continuing coverage from Dell Technologies World in Las Vegas, where yesterday’s Day 2 product announcements shifted the spotlight from the partner program to the infrastructure portfolio. The headline item was Dell PowerStore Elite, which Dell is positioning as a new class of enterprise storage platform built for what it calls an AI-era data center. According to the company, PowerStore Elite delivers up to three times the performance of the previous generation through software-driven improvements, and backs it all with what Dell describes as an industry-best 6:1 data reduction guarantee – up from 5:1 – a number it says carries real weight in today’s supply-constrained flash market. The platform packs up to 5.8 petabytes of effective capacity into a single 3U chassis using industry-standard E3 NVMe flash rather than proprietary drives, giving partners and their customers more flexibility on cost and sourcing. The cyber resilience angle is where it gets interesting for MSPs. Dell is introducing Dell Cyber Detect for PowerStore, which inspects data at the byte level and is positioned as being able to identify ransomware with 99.99% accuracy – surfacing the last known clean copy so organizations can recover fast. That capability will be available in Q3 2026. PowerStore Elite itself is set for global availability in July. The broader data center announcement also included 11 new PowerEdge servers spanning both air-cooled and liquid-cooled environments, expanded Dell Private Cloud support for Broadcom, Microsoft, and Nutanix software stacks, and two new automation products: the Dell Automation Platform, which pairs AI agents with a conversational interface for infrastructure deployment and management, and Dell Automation Studio for building custom, full-stack orchestration workflows. Nearly 20,000 customers already run PowerStore globally, and Dell is emphasizing that existing deployments can cluster with PowerStore Elite without disruption – a meaningful selling point for partners managing live customer environments. The second big story out of Las Vegas yesterday is one that deserves some unpacking. During his keynote, Dell’s chief operating officer Jeff Clarke laid out what he called ten fundamental changes in the past twelve months – and the thread running through the whole list is a single concept: tokenomics. The numbers Clarke presented tell a story that’s easy to miss if you only hear the headline. Model prices have fallen roughly 80% per token in the last year – sounds like great news. Except token consumption is simultaneously up ten times. And GenAI software spend has tripled in twelve months. The net effect is that AI is actually getting more expensive for most organizations, not less. Clarke made it concrete with a single example: one developer, one agentic use case, building a software tool. On the public cloud, that use case can run up roughly $3,400 a day in token costs. Running the equivalent workload on on-premises infrastructure with local models? Zero incremental dollars. Clarke went further and confirmed that Dell itself made the shift to on-premises AI after its own token costs became untenable – which is a different kind of endorsement than anything you hear from a keynote stage. He also flagged something worth watching: Dell is working on what he called token routing, an orchestration layer that would automatically determine whether a given task is better handled by a deskside AI workstation or by data center infrastructure. He was clear it’s still in development, but it signals where Dell sees the intersection of its PC and server businesses heading. Clarke closed his keynote with three actionable imperatives: know your token consumption, find your super users, and lead the operating model change or be disrupted by it. That first one is the real challenge for most organizations – and the one an MSP or trusted advisor can walk into and own. Away from Las Vegas now, and Intezer has officially launched its Intezer Amplify Partner Program, naming industry veteran Mark Daggett as vice president of global channels and alliances to lead the effort. The program formalizes the company’s channel investment at a moment when demand for AI-driven security operations is accelerating. Intezer’s pitch to the channel is essentially a gap-filling argument: internal security teams are drowning in alert volume while the talent required to triage and investigate those alerts remains in short supply. The Amplify program is designed to equip partners to step into that gap, delivering Intezer’s automated alert triage and threat investigation capabilities as a managed or co-managed offering. The appointment of a dedicated channel VP is the clearest signal yet that Intezer is treating the channel as a primary route to market, not a secondary one. Partners building out managed security or MSSP practices looking to differentiate around AI-augmented SOC capabilities have another option worth a closer look. In Brief –  Check Point launches an agentic network security orchestration platform it says collapses months of manual policy work into minutes of verified action.  Zendesk unveils its Autonomous Service Workforce at the Relate conference, introducing per-resolution AI agent pricing and a no-code Agent Builder.  Riverbed announces new Aternity digital experience capabilities designed to shift AIOps from reactive visibility to proactive disruption prevention.  WinMagic introduces Continuous Identity Assurance, anchoring identity verification in hardware to extend zero trust protocols to air-gapped and legacy OT environments.  Full details and links in the show notes or the blog post. Later today on In The Channel, still from the show floor at Dell Technologies World, I sit down with Rob Emsley, director of cyber resilience marketing at Dell Technologies, on why 97% of cyber attacks now specifically target the backup infrastructure – and what it actually means to build a resilience strategy around the concept of the minimum viable company. And if you haven’t heard yesterday’s episode yet, check out my conversation with Alan Ashby, Dell’s senior director of Americas data center presales and specialty sales, on the practical infrastructure realities of the AI boom – from a deskside AI workstation for an SMB to consolidating 13 legacy servers into one. That’s how we’re seeing the headlines today. I’m Robert Dutt for ChannelBuzz.ca, thanks for listening. Have a great day.

What happens when customer service stops being a department and starts becoming an autonomous operational system? Recorded live at, this conversation with Tom Eggemeier goes far beyond chatbots, copilots, and AI hype cycles. Instead, we explore why Zendesk believes the future of enterprise service will be built around what it calls an "autonomous service workforce," where AI agents, human experts, workflows, analytics, governance, and orchestration layers all work together as one continuously learning system. Tom shares how Zendesk transformed its own internal operations using AI, achieving more than 60% autonomous resolution rates while simultaneously increasing customer satisfaction. We also discuss why the company is shifting away from measuring ticket deflection and toward measuring actual resolutions, what the Forethought acquisition means for Zendesk's long-term AI strategy, and why governance, permissions, and operational trust may become more important than the AI models themselves. But this episode is about much more than software. Tom explains why he believes the next phase of enterprise AI will fundamentally reshape workflows, organizational structures, and even the role humans play inside modern businesses. We unpack the rise of specialized AI agents, why AI-to-AI interactions could soon outnumber human interactions, and why many organizations are underestimating the operational redesign required to make agentic AI work at scale. We also discuss the hidden risks of fragmented AI systems, why disconnected tools continue to drain businesses, and how companies can balance autonomy with human oversight and empathy. If you've been wondering where enterprise AI is really heading beyond the headlines, this conversation offers a fascinating look at how one of the biggest players in customer experience is attempting to redefine service itself.

Can you actually prove what your AI product is doing for customers — or are you still pointing at token counts and hoping the board nods along? In episode #368, Ben Murray breaks down the four layers of AI measurement that every SaaS company needs to communicate internally and externally. Token usage is table stakes. The real question is whether you can move up the stack from consumption to work performed to verified outcomes to quantifiable P&L impact. Get this wrong, and your AI story falls apart in front of investors, customers, and your own finance team. Get it right, and you finally have ROI math a CFO will actually approve. Why AI inference belongs in COGS / DevOps — and what that means for the gross margin story behind your AI features and product lines How Salesforce's "agentic work units" framing on its latest earnings call signals where AI reporting is heading for the rest of SaaS Where true outcome-based pricing actually lives on the pricing page (HubSpot, Zendesk, and others) — and where Agentforce was really still usage-based in disguise How Layer 4 business impact replaces fuzzy ROI calculators with objective math What to show your board and investors at each layer so your AI value story holds up under scrutiny Tune in before your next board meeting — your AI story needs more than token counts. Resources Mentioned Ben's blog post on AI measurement and AI work units: https://www.thesaascfo.com/the-four-layers-of-ai-measurement-a-cfos-framework/ Ben's academy: https://www.thesaasacademy.com/

On this episode, we explore AI orchestration in contact centers — and what CX leaders need to know to move from digitized chaos to operational clarity.Most brands have implemented AI in their customer experience operations to some degree. But when systems are siloed, data is fragmented and workflows are disconnected, AI can magnify problems instead of solving them.AI orchestration in the contact center changes that by connecting your data, systems and workflows so AI can make real decisions across every channel. This can increase resolution rates, improve agent experience and drive measurable business impact.Nuri Gocay, director of contact center platform architecture at Zendesk, and Abby Spahich, global vice president for digital CX solutions at TELUS Digital, map the path from operational fragmentation to orchestrated clarity, making the case that true AI orchestration is ultimately about delivering better customer experiences, not just better efficiency metrics. Their perspectives cover readiness, organizational barriers and the first steps toward a truly orchestrated CX operation. Show notesJoin us at Zendesk Relate 2026 in Denver, Colorado, May 18–20, 2026. TELUS Digital is a platinum sponsor — be sure to stop by our booth to connect with our team in person.Read Abby Spahich's latest article, The modern CCaaS strategy: Five steps for turning efficiency into growth. Connect with Abby Spahich on LinkedIn.Connect with Nuri Gocay on LinkedIn.

Start a free trial of HubSpot's new AEO tool: https://clickhubspot.com/apeo Get the AEO playbook that made HubSpot the #1 most visible CRM in AI search: https://clickhubspot.com/mfle Ep. 418 Did you know tools like ChatGPT and Claude are already telling your customers to buy from your competitors—and you might not even know it?  Kipp dives into the rise of Answer Engine Optimization (AEO) and how AI search engines are transforming the way businesses are found and recommended online. Learn more on why traditional Google search is no longer enough, how AI-driven recommendations are shaping customer decisions, and the must-do strategies to ensure your brand shows up across every major AI-powered search engine. Mentions ChatGPT https://chatgpt.com/ Claude https://claude.ai/ Perplexity https://www.perplexity.ai/ Zendesk https://www.zendesk.com/ Intercom https://www.intercom.com/ Get our guide to build your own Custom GPT: https://clickhubspot.com/customgpt We're creating our next round of content and want to ensure it tackles the challenges you're facing at work or in your business. To understand your biggest challenges we've put together a survey and we'd love to hear from you! https://bit.ly/matg-research Resource [Free] Steal our favorite AI Prompts featured on the show! Grab them here: https://clickhubspot.com/aip We're on Social Media! Follow us for everyday marketing wisdom straight to your feed YouTube: ​​https://www.youtube.com/channel/UCGtXqPiNV8YC0GMUzY-EUFg  Twitter: https://twitter.com/matgpod  TikTok: https://www.tiktok.com/@matgpod  Join our community https://landing.connect.com/matg Thank you for tuning into Marketing Against The Grain! Don't forget to hit subscribe and follow us on Apple Podcasts (so you never miss an episode)! https://podcasts.apple.com/us/podcast/marketing-against-the-grain/id1616700934   If you love this show, please leave us a 5-Star Review https://link.chtbl.com/h9_sjBKH and share your favorite episodes with friends. We really appreciate your support. Host Links: Kipp Bodnar, https://twitter.com/kippbodnar   Kieran Flanagan, https://twitter.com/searchbrat  ‘Marketing Against The Grain' is a HubSpot Original Podcast // Brought to you by Hubspot Media // Produced by Darren Clarke.

Following a hugely successful debut in Derry~Londonderry in last year, TechTides is set to expand to Belfast this summer, with a major one-day conference taking place at the ICC Belfast on Thursday 11th June 2026. Building on the momentum of its inaugural event, TechTides Belfast will bring together technologists, developers, founders, startups, CEOs, business leaders, and students from across the island for a full day of insights, discussion and collaboration. TechTides comes to Belfast, 11th June 2026 The event is being delivered in partnership with headline sponsors Alchemy Technology Services, Allstate NI and HighLevel, highlighting TechTides' ambition to inspire and accelerate growth across the technology sector. A strong line-up of speakers has already been confirmed, including Perdie Alder (VC/Startup Partnerships at Zendesk), Alan Carson (Co-Founder and Chief Strategy Officer at Cloudsmith), Hermione Way (technology entrepreneur and former Head of Communications at Tinder), and John Taylor, Chief Executive Officer at Alchemy Technology Services. Attendees can expect a dynamic programme of keynote sessions, panels and networking opportunities, alongside an evening social sponsored by Cloudsmith. Alastair Cameron, TechTides founder and Derry entrepreneur, said: "Last year's inaugural TechTides event proved there's a real appetite for a conference that brings the entire tech community together. This has always been about the whole technology ecosystem – from early-stage talent to experienced leaders – and bringing the conference to Belfast is the next step. We're excited to build on that momentum and support the continued growth of the tech sector across Northern Ireland." Erin McFeely, Director Northern Ireland at Alchemy Technology Services, said: "Supporting TechTides aligns closely with our commitment to building a sustainable and thriving technology sector. As a business built around people, partnerships and long-term impact, we recognise the importance of connecting industry leaders, start-ups and emerging talent. As TechTides expands to Belfast, we look forward to being part of an environment where ideas can be shared, relationships can be built and innovation can flourish, all of which are critical to the continued success of Northern Ireland's tech industry." As the second edition of the conference, TechTides Belfast will be followed by a return to the North West, with an event in Derry~Londonderry scheduled for 27th October. For ticket information and full programme details, visit techtides.co. TechTides is a flagship conference for tech and innovation on the island of Ireland, now in its second iteration. Founded in 2025 by Alastair Cameron, it brings together leading voices from startups, enterprise and impact-driven technology, exploring the intersection of innovation, entrepreneurship and real-world impact. See more breaking stories here. More about Irish Tech News Irish Tech News are Ireland's No. 1 Online Tech Publication and often Ireland's No.1 Tech Podcast too. You can find hundreds of fantastic previous episodes and subscribe using whatever platform you like via our Anchor.fm page here: https://anchor.fm/irish-tech-news If you'd like to be featured in an upcoming Podcast email us at Simon@IrishTechNews.ie now to discuss. Irish Tech News have a range of services available to help promote your business. Why not drop us a line at Info@IrishTechNews.ie now to find out more about how we can help you reach our audience. You can also find and follow us on Twitter, LinkedIn, Facebook, Instagram, TikTok and Snapchat.

.In this episode, I'm joined by Lindsey Caplan — organizational psychologist, former Hollywood screenwriter, and upcoming author — for a conversation about creativity, communication, and how people and groups are actually moved. Lindsey's path is anything but linear. She started her career on TV and film sets in Los Angeles, working on shows like Malcolm in the Middle, Curb Your Enthusiasm, and The Amazing Race. From there, she transitioned into learning and development at companies like DreamWorks Animation, Zendesk, and Credit Karma, eventually stepping fully into organizational design and change work at The Gathering Effect. Her new book, Moved — coming March 2027 — explores the forces that shape human behavior: what moves us, how we can move others, and why pull, not push, is the most sustainable path to influence. We talk about why the book took nine years to write, what she learned about the psychology of groups, and why "being seen and heard" is at the heart of all meaningful change. We dig into the creative process, including the messy parts: identity shifts, losing and regaining a creative voice, and what it takes to translate an idea that lives in your head into something that lands with other people. Lindsey shares how her storytelling roots shape her work today — from understanding stakes and motivation to designing experiences that create real engagement, not just compliance. We also explore the gap between knowing and doing, why so many best-practice books fail to stick inside organizations, and how leaders can communicate in ways that create ownership instead of resistance. If you're curious about influence, the craft of writing, or how to move people without pressure, this conversation is for you.

Chinese state-linked hackers breached the FBI's own surveillance system — and they got in through a vendor. That's not a spy novel plot; that's a confirmed federal "major incident" declared at the highest severity level under FISMA, and it happened in 2024. That's just the opener. On this episode of Security Squawk, Bryan Hornung, Randy Bryan, and Reginald Andre cover three stories that show exactly what happens when third-party risk, healthcare IT gaps, and a single phone call aren't taken seriously enough. SALT TYPHOON HACKS THE FBI — China's Salt Typhoon threat group targeted a vendor ISP with access to the FBI's court-authorized wiretap surveillance system. The breach was classified as a FISMA "major incident," the federal government's highest severity designation. BROCKTON HOSPITAL CYBERATTACK — April 6, 2026: ambulances diverted, chemo cancelled, pharmacies closed, staff on paper records. The same hospital was breached in 2021. Average healthcare ransomware recovery: $2.5M, 19 days, 33% increase in patient mortality. HIMS & HERS VISHING ATTACK — 2.5 million subscribers. $2.35 billion in revenue. Gone through one phone call. ShinyHunters used a single vishing call to steal an Okta SSO credential and access Zendesk support tickets. CA AG notified. Class action filed. Support the show: buymeacoffee.com/securitysquawk

What if your IT team could troubleshoot and remediate endpoint issues without ever leaving their service desk? In this episode, Steph Rizzuto and Katherine Chipdey break down the new Automox + Zendesk integration. They cover what it does, why it matters, and how it's designed to cut meantime to remediation for IT teams. The integration surfaces real-time endpoint data directly inside Zendesk tickets. It also gives admins one-click actions like device restarts, patch deployment, and policy execution. Beyond reactive fixes, it flags automation gaps so fewer tickets get created in the first place. Plus, hear how the Splashtop remote desktop integration ties it all together when hands-on troubleshooting is needed. Whether you're running a lean IT team or managing thousands of endpoints, this one's worth a listen.

What if you treated every digital event like a live television broadcast instead of just another webinar? Roisin Hunt spent a decade in Irish television and radio before bringing that production-first mindset into B2B marketing, and the results speak for themselves. In this episode, Roisin explains why dead air is a crime, why production quality doesn't require a massive budget, and how to turn your customer stories into compelling content that practically writes itself. She also shares how her conference stage has become a year-round content pipeline. If your virtual events feel flat, this conversation will change how you think about them.Roisin Hunt is the Senior Director of Product Marketing at Great Place to Work, where she leads digital event strategy. Her career began with a decade in Irish television and radio production, including work on national PBS-style programming and an internship at NPR. After moving to the U.S., Roisin worked in immigration nonprofit communications, boutique leadership consulting for early-stage tech founders, and global events at Zendesk. She brings a broadcast producer's eye for pacing, storytelling, and audience engagement to everything she builds in B2B marketing. Connect with Roisin on LinkedIn.Text us what you think about this episode!

Ever question if you're truly moving the needle in a high-stakes, fast-growth role or just treading water in chaos?In this unfiltered replay, Cameron Herold gets radically real with Asana's COO, Anne Raimondi, a powerhouse operator with a track record scaling iconic SaaS brands from eBay to Zendesk. Their candid conversation delivers hard-hitting truths and breakthrough strategies for COOs, VPs of Ops, and ambitious seconds-in-command. From conquering boardroom friction to onboarding at scale, and from navigating imposter syndrome to wielding conscious leadership, this episode is your no-nonsense roadmap to building culture, resilience, and runaway growth.The window for operational greatness closes quickly. Don't risk getting left behind as your competitors dial in these proven systems. Press play now for a front-row seat to rare, real-world tactics you won't hear anywhere else.Timestamped Highlights[00:00] – Why this Asana episode is a record-breaking, fan-favorite comeback[00:03:02] – The one skill that built Anne's “uncommon” career and why she doubled down on curiosity[00:05:33] – A dot-com crash, a diamond startup, and how obsession with customer pain points kept Anne in the tech arena[00:07:47] – Is product obsession really the COO's unfair advantage? Anne reveals what sets true ops leaders apart[00:13:14] – How Anne's onboarding at Asana destroyed all her old assumptions about exec transitions[00:15:10] – The joy of “extra delights”—what most SaaS products miss about human motivation[00:25:34] – The real source of company politics (and how transparency kills it dead)[00:44:38] – Anne's most vulnerable answer: How she faces down imposter syndrome and winsAbout the GuestAnne Raimondi is the Chief Operating Officer of Asana, a global leader in work management software empowering teams to orchestrate their work with clarity and impact. With 20+ years scaling technology giants, including senior roles at Zendesk, TaskRabbit, SurveyMonkey, and eBay, Anne brings deep boardroom and operational wisdom to fast-growth SaaS. She's also a lecturer at Stanford Graduate School of Business and has served on the boards of Gusto, Patreon, and more. Anne is renowned for her mission to build workplaces that blend high performance with humanity.

Send a textAdrian McDermott is Chief Technology Officer at Zendesk, where he leads the company's product management and engineering teams and helps shape the technology behind one of the world's most widely used customer service platforms. He joined Zendesk in 2010 and has played a key role in guiding the company's product and platform strategy as customer experience continues to evolve in the age of AI. Drawing on years of experience building enterprise software used by service teams around the world, Adrian brings a thoughtful perspective on how AI can help organizations deliver better customer service while allowing people to focus on the work humans do best.In this conversation, we discuss:How customer service evolved from a cost center with rigid scripts and binders into a strategic function where technology helps teams deliver better experiences.Why customer service leaders shouldn't fear automation — and why everyone has a "service debt" that AI can finally help pay down.The shift from traditional contact centers to AI-enabled service platforms that help companies respond faster while improving both employee and customer experience.Lessons Adrian learned scaling Zendesk from a small product team to a global platform serving 100,000 customers and how product-led growth shaped that journey.The critical challenge of moving from non-deterministic, creative AI models to deterministic, reliable solutions necessary for enterprise trust and safetyThe future of context engineering and why the next major leap in AI won't be about superintelligence, but about building systems that capture and act on the knowledge created in every customer interaction.Resources:Subscribe to the AI & The Future of Work NewsletterConnect with Adrian on LinkedInAI fun fact articleOn How the impact of the pandemic on leaders, culture, and the evolving nature of work

Send a textThis wave of enterprise software announcements underscores how AI agents, ecosystem alliances, and data infrastructure are becoming foundational to modern enterprise architecture. Vendors such as Pipefy and Aquant are expanding libraries of pre-built AI agents, while Salesforce continues to scale its Agentforce ecosystem through industry-specific releases, AWS integrations, and its acquisition of Informatica to strengthen data governance and orchestration. At the same time, platform vendors like IFS and Freshworks are enhancing their core cloud offerings to embed automation and intelligence deeper into operational workflows. Strategic collaborations—including Zendesk's agreement with AWS and Iterable's release of a Model Context Protocol (MCP) server—highlight the growing importance of standardized orchestration layers that allow AI agents to operate securely across distributed systems. Meanwhile, initiatives such as Sage's AI Trust Label reflect increasing focus on governance, transparency, and responsible AI adoption as autonomous capabilities become embedded into mission-critical enterprise processes.In today's episode, we invited a panel of industry analysts for a live discussion on LinkedIn to analyze current enterprise software stories. We covered many grounds, including the direction and roadmaps of each enterprise software vendor. Finally, we analyzed future trends and how they might shape the enterprise software industry.Video: https://www.youtube.com/watch?v=yyTFFz7aXVAQuestions for Panelists?

Are you trying to figure out if your team should build an AI model from scratch or integrate an off-the-shelf solution? You aren't alone.In this episode of the MongoDB Podcast, Shane McAlister sits down with Akshaya Murthy, Director of AI Transformation at Zendesk, to decode the maze of building enterprise AI products. They dive into why integrating is often the winning move for speed-to-market, the hidden costs of custom models, and why bad data will break even the most perfect transformer model.What you'll learn in this episode:The Build vs. Buy Calculus: Why lower Total Cost of Ownership (TCO) and rapid deployment favor integration for most enterprises.Spotting "AI Washing": How to avoid vendor buzzword salads and focus on actual problem-solving and ROI.Architectural Must-Haves: Why your AI stack needs modular API layers, model hot-swapping, and CI/CD pipelines just like your standard code.The "Garbage In, Hype Out" Rule: Why a solid data strategy and a centralized single source of truth are non-negotiable.Ready to stop experimenting and start delivering real AI value? Tune in now.

The Office of Personnel Management removed Claude and added Grok and Codex in an update to its public disclosure of AI use cases dated Wednesday. Removal of Claude comes after a disagreement between its maker, Anthropic, and the Department of Defense over the technology's guardrails culminated in President Donald Trump issuing a governmentwide ban on the company late last week. In the following days, numerous federal agencies have made moves to stop using Anthropic's services, including OPM. While the changes to the disclosure were made at the same time, Grok and Codex were not added as the result of Claude's removal, OPM spokeswoman McLaurine Pinover said in an emailed response to FedScoop. The human capital agency is “constantly working to provide the best tools to the OPM workforce. These initiatives were already underway,” Pinover said. According to the new inventory, the “first production use” for both tools is listed as the first quarter of 2026. Pinover confirmed that date references the calendar year rather than fiscal year. Grok, a product of Elon Musk's xAI, is listed as in production, and Codex, a coding specific AI tool from OpenAI, is being deployed in a sandbox phase — which generally describes a kind of controlled environment. OPM also added several other systems that deploy AI to its public disclosure, including Wiz, Zendesk, Waze, Google Maps, and the Apple iPhone. James “Aaron” Bishop has been tapped to serve as the Pentagon's chief information security officer and deputy CIO for cybersecurity, the department announced on social media Thursday. He assumed the role of CISO in an acting capacity on Feb. 27, according to a LinkedIn post from the Office of the Chief Information Officer. In his new position, he'll work under DOD CIO Kirsten Davies and be responsible for providing policy, technical, program and oversight support to the CIO on all cybersecurity matters. Bishop previously served as CISO for the Department of the Air Force, which includes the Air and Space Forces. According to his Air Force bio, his prior jobs in the private sector included CEO and founder of the Quantum Security Alliance, CEO and founder of Eigenspace, vice president and CISO for Science Applications International Corporation, and general manager of Microsoft's National Security Group, among other roles. David McKeown, who previously served as the department's CISO, deputy CIO for cybersecurity and special assistant for cybersecurity innovation, plans to leave government service for the private sector, according to the announcement. The Daily Scoop Podcast is available every Monday-Friday afternoon. If you want to hear more of the latest from Washington, subscribe to The Daily Scoop Podcast  on Apple Podcasts, Soundcloud, Spotify and YouTube.

Customer service is one of the industries most impacted by AI — but what if AI alone isn't the answer?In this episode of The Neuron Podcast, Grant Harvey and Corey Noles sit down with Matt Price, Founder & CEO of Crescendo, to explore how AI and humans working together can outperform automation alone. After spending 13+ years at Zendesk, Matt is now building an AI-native customer experience platform that automates up to 90% of tickets with 99.8% accuracy — without sacrificing empathy, trust, or outcomes.We cover: • Why LLMs are the biggest shift in customer service since the telephone • Why bolting AI onto old CX workflows fails • How Crescendo's multimodal AI can chat, talk, see images, and control devices in one conversation • Real-world examples (like smart sprinkler troubleshooting via voice + vision + APIs) • Why Crescendo combines AI agents with forward-deployed human experts • How outcome-based pricing aligns incentives around real customer satisfaction • How AI is reshaping (not eliminating) customer service jobs • Why “deflection” is the wrong mindset for CX — and what replaces it • What customer support roles look like in an AI-native futureThis is a deep dive into the next generation of customer experience, where AI handles scale and speed — and humans deliver judgment, empathy, and innovation.Subscribe for weekly conversations with the builders shaping the future of AI and work.Subscribe to The Neuron newsletter for more interviews with the leaders shaping the future of work and AI: https://theneuron.ai

Emmanuel et Guillaume discutent de divers sujets liés à la programmation, notamment les systèmes de fichiers en Java, le Data Oriented Programming, les défis de JPA avec Kotlin, et les nouvelles fonctionnalités de Quarkus. Ils explorent également des sujets un peu fous comme la création de datacenters dans l'espace. Pas mal d'architecture aussi. Enregistré le 13 février 2026 Téléchargement de l'épisode LesCastCodeurs-Episode-337.mp3 ou en vidéo sur YouTube. News Langages Comment implémenter un file system en Java https://foojay.io/today/bootstrapping-a-java-file-system/ Créer un système de fichiers Java personnalisé avec NIO.2 pour des usages variés (VCS, archives, systèmes distants). Évolution Java: java.io.File (1.0) -> NIO (1.4) -> NIO.2 (1.7) pour personnalisation via FileSystem. Recommander conception préalable; API Java est orientée POSIX. Composants clés à considérer: Conception URI (scheme unique, chemin). Gestion de l'arborescence (BD, métadonnées, efficacité). Stockage binaire (emplacement, chiffrement, versions). Minimum pour démarrer (4 composants): Implémenter Path (représente fichier/répertoire). Étendre FileSystem (instance du système). Étendre FileSystemProvider (moteur, enregistré par scheme). Enregistrer FileSystemProvider via META-INF/services. Étapes suivantes: Couche BD (arborescence), opérations répertoire/fichier de base, stockage, tests. Processus long et exigeant, mais gratifiant.   Un article de brian goetz sur le futur du data oriented programming en Java https://openjdk.org/projects/amber/design-notes/beyond-records Le projet Amber de Java introduit les "carrier classes", une évolution des records qui permet plus de flexibilité tout en gardant les avantages du pattern matching et de la reconstruction Les records imposent des contraintes strictes (immutabilité, représentation exacte de l'état) qui limitent leur usage pour des classes avec état muable ou dérivé Les carrier classes permettent de déclarer une state description complète et canonique sans imposer que la représentation interne corresponde exactement à l'API publique Le modificateur "component" sur les champs permet au compilateur de dériver automatiquement les accesseurs pour les composants alignés avec la state description Les compact constructors sont généralisés aux carrier classes, générant automatiquement l'initialisation des component fields Les carrier classes supportent la déconstruction via pattern matching comme les records, rendant possible leur usage dans les instanceof et switch Les carrier interfaces permettent de définir une state description sur une interface, obligeant les implémentations à fournir les accesseurs correspondants L'extension entre carrier classes est possible, avec dérivation automatique des appels super() quand les composants parent sont subsumés par l'enfant Les records deviennent un cas particulier de carrier classes avec des contraintes supplémentaires (final, extends Record, component fields privés et finaux obligatoires) L'évolution compatible des records est améliorée en permettant l'ajout de composants en fin de liste et la déconstruction partielle par préfixe Comment éviter les pièges courants avec JPA et Kotlin - https://blog.jetbrains.com/idea/2026/01/how-to-avoid-common-pitfalls-with-jpa-and-kotlin/ JPA est une spécification Java pour la persistance objet-relationnel, mais son utilisation avec Kotlin présente des incompatibilités dues aux différences de conception des deux langages Les classes Kotlin sont finales par défaut, ce qui empêche la création de proxies par JPA pour le lazy loading et les opérations transactionnelles Le plugin kotlin-jpa génère automatiquement des constructeurs sans argument et rend les classes open, résolvant les problèmes de compatibilité Les data classes Kotlin ne sont pas adaptées aux entités JPA car elles génèrent equals/hashCode basés sur tous les champs, causant des problèmes avec les relations lazy L'utilisation de lateinit var pour les relations peut provoquer des exceptions si on accède aux propriétés avant leur initialisation par JPA Les types non-nullables Kotlin peuvent entrer en conflit avec le comportement de JPA qui initialise les entités avec des valeurs null temporaires Le backing field direct dans les getters/setters personnalisés peut contourner la logique de JPA et casser le lazy loading IntelliJ IDEA 2024.3 introduit des inspections pour détecter automatiquement ces problèmes et propose des quick-fixes L'IDE détecte les entités finales, les data classes inappropriées, les problèmes de constructeurs et l'usage incorrect de lateinit Ces nouvelles fonctionnalités aident les développeurs à éviter les bugs subtils liés à l'utilisation de JPA avec Kotlin Librairies Guide sur MapStruct @IterableMapping - https://www.baeldung.com/java-mapstruct-iterablemapping MapStruct est une bibliothèque Java pour générer automatiquement des mappers entre beans, l'annotation @IterableMapping permet de configurer finement le mapping de collections L'attribut dateFormat permet de formater automatiquement des dates lors du mapping de listes sans écrire de boucle manuelle L'attribut qualifiedByName permet de spécifier quelle méthode custom appliquer sur chaque élément de la collection à mapper Exemple d'usage : filtrer des données sensibles comme des mots de passe en mappant uniquement certains champs via une méthode dédiée L'attribut nullValueMappingStrategy permet de contrôler le comportement quand la collection source est null (retourner null ou une collection vide) L'annotation fonctionne pour tous types de collections Java (List, Set, etc.) et génère le code de boucle nécessaire Possibilité d'appliquer des formats numériques avec numberFormat pour convertir des nombres en chaînes avec un format spécifique MapStruct génère l'implémentation complète du mapper au moment de la compilation, éliminant le code boilerplate L'annotation peut être combinée avec @Named pour créer des méthodes de mapping réutilisables et nommées Le mapping des collections supporte les conversions de types complexes au-delà des simples conversions de types primitifs Accès aux fichiers Samba depuis Java avec JCIFS - https://www.baeldung.com/java-samba-jcifs JCIFS est une bibliothèque Java permettant d'accéder aux partages Samba/SMB sans monter de lecteur réseau, supportant le protocole SMB3 on pense aux galériens qui doivent se connecter aux systèmes dit legacy La configuration nécessite un contexte CIFS (CIFSContext) et des objets SmbFile pour représenter les ressources distantes L'authentification se fait via NtlmPasswordAuthenticator avec domaine, nom d'utilisateur et mot de passe La bibliothèque permet de lister les fichiers et dossiers avec listFiles() et vérifier leurs propriétés (taille, date de modification) Création de fichiers avec createNewFile() et de dossiers avec mkdir() ou mkdirs() pour créer toute une arborescence Suppression via delete() qui peut parcourir et supprimer récursivement des arborescences entières Copie de fichiers entre partages Samba avec copyTo(), mais impossibilité de copier depuis le système de fichiers local Pour copier depuis le système local, utilisation des streams SmbFileInputStream et SmbFileOutputStream Les opérations peuvent cibler différents serveurs Samba et différents partages (anonymes ou protégés par mot de passe) La bibliothèque s'intègre dans des blocs try-with-resources pour une gestion automatique des ressources Quarkus 3.31 - Support complet Java 25, nouveau packaging Maven et Panache Next - https://quarkus.io/blog/quarkus-3-31-released/ Support complet de Java 25 avec images runtime et native Nouveau packaging Maven de type quarkus avec lifecycle optimisé pour des builds plus rapides voici un article complet pour plus de detail https://quarkus.io/blog/building-large-applications/ Introduction de Panache Next, nouvelle génération avec meilleure expérience développeur et API unifiée ORM/Reactive Mise à jour vers Hibernate ORM 7.2, Reactive 3.2, Search 8.2 Support de Hibernate Spatial pour les données géospatiales Passage à Testcontainers 2 et JUnit 6 Annotations de sécurité supportées sur les repositories Jakarta Data Chiffrement des tokens OIDC pour les implémentations custom TokenStateManager Support OAuth 2.0 Pushed Authorization Requests dans l'extension OIDC Maven 3.9 maintenant requis minimum pour les projets Quarkus A2A Java SDK 1.0.0.Alpha1 - Alignement avec la spécification 1.0 du protocole Agent2Agent - https://quarkus.io/blog/a2a-java-sdk-1-0-0-alpha1/ Le SDK Java A2A implémente le protocole Agent2Agent qui permet la communication standardisée entre agents IA pour découvrir des capacités, déléguer des tâches et collaborer Passage à la version 1.0 de la spécification marque la transition d'expérimental à production-ready avec des changements cassants assumés Modernisation complète du module spec avec des Java records partout remplaçant le mix précédent de classes et records pour plus de cohérence Adoption de Protocol Buffers comme source de vérité avec des mappers MapStruct pour la conversion et Gson pour JSON-RPC Les builders utilisent maintenant des méthodes factory statiques au lieu de constructeurs publics suivant les best practices Java modernes Introduction de trois BOMs Maven pour simplifier la gestion des dépendances du SDK core, des extensions et des implémentations de référence Quarkus AgentCard évolue avec une liste supportedInterfaces remplaçant url et preferredTransport pour plus de flexibilité dans la déclaration des protocoles Support de la pagination ajouté pour ListTasks et les endpoints de configuration des notifications push avec des wrappers Result appropriés Interface A2AHttpClient pluggable permettant des implémentations HTTP personnalisées avec une implémentation Vert.x fournie Travail continu vers la conformité complète avec le TCK 1.0 en cours de développement parallèlement à la finalisation de la spécification Pourquoi Quarkus finit par "cliquer" : les 10 questions que se posent les développeurs Java - https://www.the-main-thread.com/p/quarkus-java-developers-top-questions-2025 un article qui revele et repond aux questions des gens qui ont utilisé Quarkus depuis 4-6 mois, les non noob questions Quarkus est un framework Java moderne optimisé pour le cloud qui propose des temps de démarrage ultra-rapides et une empreinte mémoire réduite Pourquoi Quarkus démarre si vite ? Le framework effectue le travail lourd au moment du build (scanning, indexation, génération de bytecode) plutôt qu'au runtime Quand utiliser le mode réactif plutôt qu'impératif ? Le réactif est pertinent pour les workloads avec haute concurrence et dominance I/O, l'impératif reste plus simple dans les autres cas Quelle est la différence entre Dev Services et Testcontainers ? Dev Services utilise Testcontainers en gérant automatiquement le cycle de vie, les ports et la configuration sans cérémonie Comment la DI de Quarkus diffère de Spring ? CDI est un standard basé sur la sécurité des types et la découverte au build-time, différent de l'approche framework de Spring Comment gérer la configuration entre environnements ? Quarkus permet de scaler depuis le développement local jusqu'à Kubernetes avec des profils, fichiers multiples et configuration externe Comment tester correctement les applications Quarkus ? @QuarkusTest démarre l'application une fois pour toute la suite de tests, changeant le modèle mental par rapport à Spring Boot Que fait vraiment Panache en coulisses ? Panache est du JPA avec des opinions fortes et des défauts propres, enveloppant Hibernate avec un style Active Record Doit-on utiliser les images natives et quand ? Les images natives brillent pour le serverless et l'edge grâce au démarrage rapide et la faible empreinte mémoire, mais tous les apps n'en bénéficient pas Comment Quarkus s'intègre avec Kubernetes ? Le framework génère automatiquement les ressources Kubernetes, gère les health checks et métriques comme s'il était nativement conçu pour cet écosystème Comment intégrer l'IA dans une application Quarkus ? LangChain4j permet d'ajouter embeddings, retrieval, guardrails et observabilité directement en Java sans passer par Python Infrastructure Les alternatives à MinIO https://rmoff.net/2026/01/14/alternatives-to-minio-for-single-node-local-s3/ MinIO a abandonné le support single-node fin 2025 pour des raisons commerciales, cassant de nombreuses démos et pipelines CI/CD qui l'utilisaient pour émuler S3 localement L'auteur cherche un remplacement simple avec image Docker, compatibilité S3, licence open source, déploiement mono-nœud facile et communauté active S3Proxy est très léger et facile à configurer, semble être l'option la plus simple mais repose sur un seul contributeur RustFS est facile à utiliser et inclut une GUI, mais c'est un projet très récent en version alpha avec une faille de sécurité majeure récente SeaweedFS existe depuis 2012 avec support S3 depuis 2018, relativement facile à configurer et dispose d'une interface web basique Zenko CloudServer remplace facilement MinIO mais la documentation et le branding (cloudserver/zenko/scality) peuvent prêter à confusion Garage nécessite une configuration complexe avec fichier TOML et conteneur d'initialisation séparé, pas un simple remplacement drop-in Apache Ozone requiert au minimum quatre nœuds pour fonctionner, beaucoup trop lourd pour un usage local simple L'auteur recommande SeaweedFS et S3Proxy comme remplaçants viables, RustFS en maybe, et élimine Garage et Ozone pour leur complexité Garage a une histoire tres associative, il vient du collectif https://deuxfleurs.fr/ qui offre un cloud distribué sans datacenter C'est certainement pas une bonne idée, les datacenters dans l'espace https://taranis.ie/datacenters-in-space-are-a-terrible-horrible-no-good-idea/ Avis d'expert (ex-NASA/Google, Dr en électronique spatiale) : Centres de données spatiaux, une "terrible" idée. Incompatibilité fondamentale : L'électronique (surtout IA/GPU) est inadaptée à l'environnement spatial. Énergie : Accès limité. Le solaire (type ISS) est insuffisant pour l'échelle de l'IA. Le nucléaire (RTG) est trop faible. Refroidissement : L'espace n'est pas "froid" ; absence de convection. Nécessite des radiateurs gigantesques (ex: 531m² pour 200kW). Radiations : Provoque erreurs (SEU, SEL) et dommages. Les GPU sont très vulnérables. Blindage lourd et inefficace. Les puces "durcies" sont très lentes. Communications : Bande passante très limitée (1Gbps radio vs 100Gbps terrestre). Le laser est tributaire des conditions atmosphériques. Conclusion : Projet extrêmement difficile, coûteux et aux performances médiocres. Data et Intelligence Artificielle Guillaume a développé un serveur MCP pour arXiv (le site de publication de papiers de recherche) en Java avec le framework Quarkus https://glaforge.dev/posts/2026/01/18/implementing-an-arxiv-mcp-server-with-quarkus-in-java/ Implémentation d'un serveur MCP (Model Context Protocol) arXiv en Java avec Quarkus. Objectif : Accéder aux publications arXiv et illustrer les fonctionnalités moins connues du protocole MCP. Mise en œuvre : Utilisation du framework Quarkus (Java) et son support MCP étendu. Assistance par Antigravity (IDE agentique) pour le développement et l'intégration de l'API arXiv. Interaction avec l'API arXiv : requêtes HTTP, format XML Atom pour les résultats, parser XML Jackson. Fonctionnalités MCP exposées : Outils (@Tool) : Recherche de publications (search_papers). Ressources (@Resource, @ResourceTemplate) : Taxonomie des catégories arXiv, métadonnées des articles (via un template d'URI). Prompts (@Prompt) : Exemples pour résumer des articles ou construire des requêtes de recherche. Configuration : Le serveur peut fonctionner en STDIO (local) ou via HTTP Streamable (local ou distant), avec une configuration simple dans des clients comme Gemini CLI. Conclusion : Quarkus simplifie la création de serveurs MCP riches en fonctionnalités, rendant les données et services "prêts pour l'IA" avec l'aide d'outils d'IA comme Antigravity. Anthropic ne mettra pas de pub dans Claude https://www.anthropic.com/news/claude-is-a-space-to-think c'est en reaction au plan non public d'OpenAi de mettre de la pub pour pousser les gens au mode payant OpenAI a besoin de cash et est probablement le plus utilisé pour gratuit au monde Anthropic annonce que Claude restera sans publicité pour préserver son rôle d'assistant conversationnel dédié au travail et à la réflexion approfondie. Les conversations avec Claude sont souvent sensibles, personnelles ou impliquent des tâches complexes d'ingénierie logicielle où les publicités seraient inappropriées. L'analyse des conversations montre qu'une part significative aborde des sujets délicats similaires à ceux évoqués avec un conseiller de confiance. Un modèle publicitaire créerait des incitations contradictoires avec le principe fondamental d'être "genuinely helpful" inscrit dans la Constitution de Claude. Les publicités introduiraient un conflit d'intérêt potentiel où les recommandations pourraient être influencées par des motivations commerciales plutôt que par l'intérêt de l'utilisateur. Le modèle économique d'Anthropic repose sur les contrats entreprise et les abonnements payants, permettant de réinvestir dans l'amélioration de Claude. Anthropic maintient l'accès gratuit avec des modèles de pointe et propose des tarifs réduits pour les ONG et l'éducation dans plus de 60 pays. Le commerce "agentique" sera supporté mais uniquement à l'initiative de l'utilisateur, jamais des annonceurs, pour préserver la confiance. Les intégrations tierces comme Figma, Asana ou Canva continueront d'être développées en gardant l'utilisateur aux commandes. Anthropic compare Claude à un cahier ou un tableau blanc : des espaces de pensée purs, sans publicité. Infinispan 16.1 est sorti https://infinispan.org/blog/2026/02/04/infinispan-16-1 déjà le nom de la release mérite une mention Le memory bounded par cache et par ensemble de cache s est pas facile à faire en Java Une nouvelle api OpenAPI AOT caché dans les images container Un serveur MCP local juste avec un fichier Java ? C'est possible avec LangChain4j et JBang https://glaforge.dev/posts/2026/02/11/zero-boilerplate-java-stdio-mcp-servers-with-langchain4j-and-jbang/ Création rapide de serveurs MCP Java sans boilerplate. MCP (Model Context Protocol): standard pour connecter les LLM à des outils et données. Le tutoriel répond au manque d'options simples pour les développeurs Java, face à une prédominance de Python/TypeScript dans l'écosystème MCP. La solution utilise: LangChain4j: qui intègre un nouveau module serveur MCP pour le protocole STDIO. JBang: permet d'exécuter des fichiers Java comme des scripts, éliminant les fichiers de build (pom.xml, Gradle). Implémentation: se fait via un seul fichier .java. JBang gère automatiquement les dépendances (//DEPS). L'annotation @Tool de LangChain4j expose les méthodes Java aux LLM. StdioMcpServerTransport gère la communication JSON-RPC via l'entrée/sortie standard (STDIO). Point crucial: Les logs doivent impérativement être redirigés vers System.err pour éviter de corrompre System.out, qui est réservé à la communication MCP (messages JSON-RPC). Facilite l'intégration locale avec des outils comme Gemini CLI, Claude Code, etc. Reciprocal Rank Fusion : un algorithme utile et souvent utilisé pour faire de la recherche hybride, pour mélanger du RAG et des recherches par mots-clé https://glaforge.dev/posts/2026/02/10/advanced-rag-understanding-reciprocal-rank-fusion-in-hybrid-search/ RAG : Qualité LLM dépend de la récupération. Recherche Hybride : Combiner vectoriel et mots-clés (BM25) est optimal. Défi : Fusionner des scores d'échelles différentes. Solution : Reciprocal Rank Fusion (RRF). RRF : Algorithme robuste qui fusionne des listes de résultats en se basant uniquement sur le rang des documents, ignorant les scores. Avantages RRF : Pas de normalisation de scores, scalable, excellente première étape de réorganisation. Architecture RAG fréquente : RRF (large sélection) + Cross-Encoder / modèle de reranking (précision fine). RAG-Fusion : Utilise un LLM pour générer plusieurs variantes de requête, puis RRF agrège tous les résultats pour renforcer le consensus et réduire les hallucinations. Implémentation : LangChain4j utilise RRF par défaut pour agréger les résultats de plusieurs retrievers. Les dernières fonctionnalités de Gemini et Nano Banana supportées dans LangChain4j https://glaforge.dev/posts/2026/02/06/latest-gemini-and-nano-banana-enhancements-in-langchain4j/ Nouveaux modèles d'images Nano Banana (Gemini 2.5/3.0) pour génération et édition (jusqu'à 4K). "Grounding" via Google Search (pour images et texte) et Google Maps (localisation, Gemini 2.5). Outil de contexte URL (Gemini 3.0) pour lecture directe de pages web. Agents multimodaux (AiServices) capables de générer des images. Configuration de la réflexion (profondeur Chain-of-Thought) pour Gemini 3.0. Métadonnées enrichies : usage des tokens et détails des sources de "grounding". Comment configurer Gemini CLI comment agent de code dans IntelliJ grâce au protocole ACP https://glaforge.dev/posts/2026/02/01/how-to-integrate-gemini-cli-with-intellij-idea-using-acp/ But : Intégrer Gemini CLI à IntelliJ IDEA via l'Agent Client Protocol (ACP). Prérequis : IntelliJ IDEA 2025.3+, Node.js (v20+), Gemini CLI. Étapes : Installer Gemini CLI (npm install -g @google/gemini-cli). Localiser l'exécutable gemini. Configurer ~/.jetbrains/acp.json (chemin exécutable, --experimental-acp, use_idea_mcp: true). Redémarrer IDEA, sélectionner "Gemini CLI" dans l'Assistant IA. Usage : Gemini interagit avec le code et exécute des commandes (contexte projet). Important : S'assurer du flag --experimental-acp dans la configuration. Outillage PipeNet, une alternative (open source aussi) à LocalTunnel, mais un plus évoluée https://pipenet.dev/ pipenet: Alternative open-source et moderne à localtunnel (client + serveur). Usages: Développement local (partage, webhooks), intégration SDK, auto-hébergement sécurisé. Fonctionnalités: Client (expose ports locaux, sous-domaines), Serveur (déploiement, domaines personnalisés, optimisé cloud mono-port). Avantages vs localtunnel: Déploiement cloud sur un seul port, support multi-domaines, TypeScript/ESM, maintenance active. Protocoles: HTTP/S, WebSocket, SSE, HTTP Streaming. Intégration: CLI ou SDK JavaScript. JSON-IO — une librairie comme Jackson ou GSON, supportant JSON5, TOON, et qui pourrait être utile pour l'utilisation du "structured output" des LLMs quand ils ne produisent pas du JSON parfait https://github.com/jdereg/json-io json-io : Librairie Java pour la sérialisation et désérialisation JSON/TOON. Gère les graphes d'objets complexes, les références cycliques et les types polymorphes. Support complet JSON5 (lecture et écriture), y compris des fonctionnalités non prises en charge par Jackson/Gson. Format TOON : Notation orientée token, optimisée pour les LLM, réduisant l'utilisation de tokens de 40 à 50% par rapport au JSON. Légère : Aucune dépendance externe (sauf java-util), taille de JAR réduite (~330K). Compatible JDK 1.8 à 24, ainsi qu'avec les environnements JPMS et OSGi. Deux modes de conversion : vers des objets Java typés (toJava()) ou vers des Map (toMaps()). Options de configuration étendues via ReadOptionsBuilder et WriteOptionsBuilder. Optimisée pour les déploiements cloud natifs et les architectures de microservices. Utiliser mailpit et testcontainer pour tester vos envois d'emails https://foojay.io/today/testing-emails-with-testcontainers-and-mailpit/ l'article montre via SpringBoot et sans. Et voici l'extension Quarkus https://quarkus.io/extensions/io.quarkiverse.mailpit/quarkus-mailpit/?tab=docs Tester l'envoi d'emails en développement est complexe car on ne peut pas utiliser de vrais serveurs SMTP Mailpit est un serveur SMTP de test qui capture les emails et propose une interface web pour les consulter Testcontainers permet de démarrer Mailpit dans un conteneur Docker pour les tests d'intégration L'article montre comment configurer une application SpringBoot pour envoyer des emails via JavaMail Un module Testcontainers dédié à Mailpit facilite son intégration dans les tests Le conteneur Mailpit expose un port SMTP (1025) et une API HTTP (8025) pour vérifier les emails reçus Les tests peuvent interroger l'API HTTP de Mailpit pour valider le contenu des emails envoyés Cette approche évite d'utiliser des mocks et teste réellement l'envoi d'emails Mailpit peut aussi servir en développement local pour visualiser les emails sans les envoyer réellement La solution fonctionne avec n'importe quel framework Java supportant JavaMail Architecture Comment scaler un système de 0 à 10 millions d'utilisateurs https://blog.algomaster.io/p/scaling-a-system-from-0-to-10-million-users Philosophie : Scalabilité incrémentale, résoudre les goulots d'étranglement sans sur-ingénierie. 0-100 utilisateurs : Serveur unique (app, DB, jobs). 100-1K : Séparer app et DB (services gérés, pooling). 1K-10K : Équilibreur de charge, multi-serveurs d'app (stateless via sessions partagées). 10K-100K : Caching, réplicas de lecture DB, CDN (réduire charge DB). 100K-500K : Auto-scaling, applications stateless (authentification JWT). 500K-10M : Sharding DB, microservices, files de messages (traitement asynchrone). 10M+ : Déploiement multi-régions, CQRS, persistance polyglotte, infra personnalisée. Principes clés : Simplicité, mesure, stateless essentiel, cache/asynchrone, sharding prudent, compromis (CAP), coût de la complexité. Patterns d'Architecture 2026 - Du Hype à la Réalité du Terrain (Part 1/2) - https://blog.ippon.fr/2026/01/30/patterns-darchitecture-2026-part-1/ L'article présente quatre patterns d'architecture logicielle pour répondre aux enjeux de scalabilité, résilience et agilité business dans les systèmes modernes Il présentent leurs raisons et leurs pièges Un bon rappel L'Event-Driven Architecture permet une communication asynchrone entre systèmes via des événements publiés et consommés, évitant le couplage direct Les bénéfices de l'EDA incluent la scalabilité indépendante des composants, la résilience face aux pannes et l'ajout facile de nouveaux cas d'usage Le pattern API-First associé à un API Gateway centralise la sécurité, le routage et l'observabilité des APIs avec un catalogue unifié Le Backend for Frontend crée des APIs spécifiques par canal (mobile, web, partenaires) pour optimiser l'expérience utilisateur CQRS sépare les modèles de lecture et d'écriture avec des bases optimisées distinctes, tandis que l'Event Sourcing stocke tous les événements plutôt que l'état actuel Le Saga Pattern gère les transactions distribuées via orchestration centralisée ou chorégraphie événementielle pour coordonner plusieurs microservices Les pièges courants incluent l'explosion d'événements granulaires, la complexité du debugging distribué, et la mauvaise gestion de la cohérence finale Les technologies phares sont Kafka pour l'event streaming, Kong pour l'API Gateway, EventStoreDB pour l'Event Sourcing et Temporal pour les Sagas Ces patterns nécessitent une maturité technique et ne sont pas adaptés aux applications CRUD simples ou aux équipes junior Patterns d'architecture 2026 : du hype à la réalité terrain part. 2 - https://blog.ippon.fr/2026/02/04/patterns-darchitecture-2026-part-2/ Deuxième partie d'un guide pratique sur les patterns d'architecture logicielle et système éprouvés pour moderniser et structurer les applications en 2026 Strangler Fig permet de migrer progressivement un système legacy en l'enveloppant petit à petit plutôt que de tout réécrire d'un coup (70% d'échec pour les big bang) Anti-Corruption Layer protège votre nouveau domaine métier des modèles externes et legacy en créant une couche de traduction entre les systèmes Service Mesh gère automatiquement la communication inter-services dans les architectures microservices (sécurité mTLS, observabilité, résilience) Architecture Hexagonale sépare le coeur métier des détails techniques via des ports et adaptateurs pour améliorer la testabilité et l'évolutivité Chaque pattern est illustré par un cas client concret avec résultats mesurables et liste des pièges à éviter lors de l'implémentation Les technologies 2026 mentionnées incluent Istio, Linkerd pour service mesh, LaunchDarkly pour feature flags, NGINX et Kong pour API gateway Tableau comparatif final aide à choisir le bon pattern selon la complexité, le scope et le use case spécifique du projet L'article insiste sur une approche pragmatique : ne pas utiliser un pattern juste parce qu'il est moderne mais parce qu'il résout un problème réel Pour les systèmes simples type CRUD ou avec peu de services, ces patterns peuvent introduire une complexité inutile qu'il faut savoir éviter Méthodologies Le rêve récurrent de remplacer voire supprimer les développeurs https://www.caimito.net/en/blog/2025/12/07/the-recurring-dream-of-replacing-developers.html Depuis 1969, chaque décennie voit une tentative de réduire le besoin de développeurs (de COBOL, UML, visual builders… à IA). Motivation : frustration des dirigeants face aux délais et coûts de développement. La complexité logicielle est intrinsèque et intellectuelle, non pas une question d'outils. Chaque vague technologique apporte de la valeur mais ne supprime pas l'expertise humaine. L'IA assiste les développeurs, améliore l'efficacité, mais ne remplace ni le jugement ni la gestion de la complexité. La demande de logiciels excède l'offre car la contrainte majeure est la réflexion nécessaire pour gérer cette complexité. Pour les dirigeants : les outils rendent-ils nos développeurs plus efficaces sur les problèmes complexes et réduisent-ils les tâches répétitives ? Le "rêve" de remplacer les développeurs, irréalisable, est un moteur d'innovation créant des outils précieux. Comment creuser des sujets à l'ère de l'IA générative. Quid du partage et la curation de ces recherches ? https://glaforge.dev/posts/2026/02/04/researching-topics-in-the-age-of-ai-rock-solid-webhooks-case-study/ Recherche initiale de l'auteur sur les webhooks en 2019, processus long et manuel. L'IA (Deep Research, Gemini, NotebookLM) facilite désormais la recherche approfondie, l'exploration de sujets et le partage des résultats. L'IA a identifié et validé des pratiques clés pour des déploiements de webhooks résilients, en grande partie les mêmes que celles trouvées précédemment par l'auteur. Génération d'artefacts par l'IA : rapport détaillé, résumé concis, illustration sketchnote, et même une présentation (slide deck). Guillaume s'interroge sur le partage public de ces rapports de recherche générés par l'IA, tout en souhaitant éviter le "AI Slop". Loi, société et organisation Le logiciel menacé par le vibe coding https://www.techbuzz.ai/articles/we-built-a-monday-com-clone-in-under-an-hour-with-ai Deux journalistes de CNBC sans expérience de code ont créé un clone fonctionnel de Monday.com en moins de 60 minutes pour 5 à 15 dollars. L'expérience valide les craintes des investisseurs qui ont provoqué une baisse de 30% des actions des entreprises SaaS. L'IA a non seulement reproduit les fonctionnalités de base mais a aussi recherché Monday.com de manière autonome pour identifier et recréer ses fonctionnalités clés. Cette technique appelée "vibe-coding" permet aux non-développeurs de construire des applications via des instructions en anglais courant. Les entreprises les plus vulnérables sont celles offrant des outils "qui se posent sur le travail" comme Atlassian, Adobe, HubSpot, Zendesk et Smartsheet. Les entreprises de cybersécurité comme CrowdStrike et Palo Alto sont considérées plus protégées grâce aux effets de réseau et aux barrières réglementaires. Les systèmes d'enregistrement comme Salesforce restent plus difficiles à répliquer en raison de leur profondeur d'intégration et de données d'entreprise. Le coût de 5 à 15 dollars par construction permet aux entreprises de prototyper plusieurs solutions personnalisées pour moins cher qu'une seule licence Monday.com. L'expérience soulève des questions sur la pérennité du marché de 5 milliards de dollars des outils de gestion de projet face à l'IA générative. Conférences En complément de l'agenda des conférences de Aurélie Vache, il y a également le site https://javaconferences.org/ (fait par Brian Vermeer) avec toutes les conférences Java à venir ! La liste des conférences provenant de Developers Conferences Agenda/List par Aurélie Vache et contributeurs : 12-13 février 2026 : Touraine Tech #26 - Tours (France) 12-13 février 2026 : World Artificial Intelligence Cannes Festival - Cannes (France) 19 février 2026 : ObservabilityCON on the Road - Paris (France) 6 mars 2026 : WordCamp Nice 2026 - Nice (France) 18 mars 2026 : Jupyter Workshops: AI in Jupyter: Building Extensible AI Capabilities for Interactive Computing - Saint-Maur-des-Fossés (France) 18-19 mars 2026 : Agile Niort 2026 - Niort (France) 20 mars 2026 : Atlantique Day 2026 - Nantes (France) 26 mars 2026 : Data Days Lille - Lille (France) 26-27 mars 2026 : SymfonyLive Paris 2026 - Paris (France) 26-27 mars 2026 : REACT PARIS - Paris (France) 27-29 mars 2026 : Shift - Nantes (France) 31 mars 2026 : ParisTestConf - Paris (France) 31 mars 2026-1 avril 2026 : FlowCon France 2026 - Paris (France) 1 avril 2026 : AWS Summit Paris - Paris (France) 2 avril 2026 : Pragma Cannes 2026 - Cannes (France) 2-3 avril 2026 : Xen Spring Meetup 2026 - Grenoble (France) 7 avril 2026 : PyTorch Conference Europe - Paris (France) 9-10 avril 2026 : Android Makers by droidcon 2026 - Paris (France) 9-11 avril 2026 : Drupalcamp Grenoble 2026 - Grenoble (France) 16-17 avril 2026 : MiXiT 2026 - Lyon (France) 17-18 avril 2026 : Faiseuses du Web 5 - Dinan (France) 22-24 avril 2026 : Devoxx France 2026 - Paris (France) 23-25 avril 2026 : Devoxx Greece - Athens (Greece) 6-7 mai 2026 : Devoxx UK 2026 - London (UK) 12 mai 2026 : Lead Innovation Day - Leadership Edition - Paris (France) 19 mai 2026 : La Product Conf Paris 2026 - Paris (France) 21-22 mai 2026 : Flupa UX Days 2026 - Paris (France) 22 mai 2026 : AFUP Day 2026 Lille - Lille (France) 22 mai 2026 : AFUP Day 2026 Paris - Paris (France) 22 mai 2026 : AFUP Day 2026 Bordeaux - Bordeaux (France) 22 mai 2026 : AFUP Day 2026 Lyon - Lyon (France) 28 mai 2026 : DevCon 27 : I.A. & Vibe Coding - Paris (France) 28 mai 2026 : Cloud Toulouse 2026 - Toulouse (France) 29 mai 2026 : NG Baguette Conf 2026 - Paris (France) 29 mai 2026 : Agile Tour Strasbourg 2026 - Strasbourg (France) 2-3 juin 2026 : Agile Tour Rennes 2026 - Rennes (France) 2-3 juin 2026 : OW2Con - Paris-Châtillon (France) 3 juin 2026 : IA–NA - La Rochelle (France) 5 juin 2026 : TechReady - Nantes (France) 5 juin 2026 : Fork it! - Rouen - Rouen (France) 6 juin 2026 : Polycloud - Montpellier (France) 9 juin 2026 : JFTL - Montrouge (France) 9 juin 2026 : C: - Caen (France) 11-12 juin 2026 : DevQuest Niort - Niort (France) 11-12 juin 2026 : DevLille 2026 - Lille (France) 12 juin 2026 : Tech F'Est 2026 - Nancy (France) 16 juin 2026 : Mobilis In Mobile 2026 - Nantes (France) 17-19 juin 2026 : Devoxx Poland - Krakow (Poland) 17-20 juin 2026 : VivaTech - Paris (France) 18 juin 2026 : Tech'Work - Lyon (France) 22-26 juin 2026 : Galaxy Community Conference - Clermont-Ferrand (France) 24-25 juin 2026 : Agi'Lille 2026 - Lille (France) 24-26 juin 2026 : BreizhCamp 2026 - Rennes (France) 2 juillet 2026 : Azur Tech Summer 2026 - Valbonne (France) 2-3 juillet 2026 : Sunny Tech - Montpellier (France) 3 juillet 2026 : Agile Lyon 2026 - Lyon (France) 6-8 juillet 2026 : Riviera Dev - Sophia Antipolis (France) 2 août 2026 : 4th Tech Summit on Artificial Intelligence & Robotics - Paris (France) 20-22 août 2026 : 4th Tech Summit on AI & Robotics - Paris (France) & Online 4 septembre 2026 : JUG Summer Camp 2026 - La Rochelle (France) 17-18 septembre 2026 : API Platform Conference 2026 - Lille (France) 24 septembre 2026 : PlatformCon Live Day Paris 2026 - Paris (France) 1 octobre 2026 : WAX 2026 - Marseille (France) 1-2 octobre 2026 : Volcamp - Clermont-Ferrand (France) 5-9 octobre 2026 : Devoxx Belgium - Antwerp (Belgium) Nous contacter Pour réagir à cet épisode, venez discuter sur le groupe Google https://groups.google.com/group/lescastcodeurs Contactez-nous via X/twitter https://twitter.com/lescastcodeurs ou Bluesky https://bsky.app/profile/lescastcodeurs.com Faire un crowdcast ou une crowdquestion Soutenez Les Cast Codeurs sur Patreon https://www.patreon.com/LesCastCodeurs Tous les épisodes et toutes les infos sur https://lescastcodeurs.com/

Show DescriptionWhen Dave dies, who gets his domain name? How OpenClaw is a massive security concern, tips on handling a broad design surface area with a design system, changing database values with text-transform, should you declare CSS properties with @property, and was Chris wrong about CSS? Listen on WebsiteWatch on YouTubeLinks Your Home for a Century: Our 100-Year Domains and Plans 1Password Access after Death, Legacy Contacts | 1Password Community From magic to malware: How OpenClaw's agent skills become an attack surface | 1Password Openclaw (clawdbot), Agents and the Age of Personal Software - YouTube bbPress.org WooCommerce cap - no cap Nice Select · February 3, 2026 SponsorsAxe-ConAxe-con - the world's largest digital accessibility conference is from the makers of Axe-core and Axe DevTools Browser Extension. Taking place online on February 24-25. Registration is free and also gets you access to the on-demand recordings. Axe-con has a specific Development Track for dev content - some top speakers are Ire Aderinokun (front-end developer and Google developer expert), Jesse Beach (Software Engineering Manager at Meta), and other prominent folks from orgs like Coinbase, Zendesk, Red Hat, Atlassian, and more.

We're getting in motion with Sera Tajima, as she joins us to talk about her lifelong relationship with movement. She explains how ballet taught her precision, control, and the ability to withstand "good pain”, creating a meditative practice of syncing mind and body, that continued to martial arts. Sera's athletic journey took a turn three years ago when she developed long COVID, forcing her to completely reassess her relationship with movement. Through her recovery process, she learned to listen to her body's needs rather than pushing through, discovering the importance of small daily movements. Sera continues to advocate for a cultural shift away from the tendency to treat the body as merely a vessel for the mind, and instead reconnect with it on a deeper level. Guest BioSera Tajima (she/her) is a product designer turned climate investor and advisor, bringing Silicon Valley growth expertise to founders solving our planet's biggest challenges. She's spent a decade driving growth at Y Combinator, Zendesk, and Webflow—achieving results like 200% acquisition increases. Through Conscious Tech Ventures, she guides climate startups scaling breakthrough solutions. Sera also has a course on sustainable growth. UC Berkeley-educated, Sera has spoken at Ikea, Uber, universities, and tech conferences worldwide, helping founders leverage product-market fit and product-led growth strategies. Her mission: Accelerate conscious tech that makes today's broken systems obsolete. We can't solve climate problems with the same thinking that created them.LinksSera's website: https://www.conscioustech.co/Sera on Spotify: https://creators.spotify.com/pod/profile/seratajima/Sera on LinkedIn: https://www.linkedin.com/in/seratajima/Sera on TikTok: https://www.tiktok.com/@seratajimaCreditsCover design by Raquel Breternitz.

The episode centers on the expanding adoption of artificial intelligence (AI) tools among workers alongside a notable decline in confidence. According to a Manpower Group study cited by Dave Sobel, AI confidence among workers decreased by 18% even as usage increased by 13% over the past year. This divergence highlights a governance and operational gap for MSPs, as enterprise clients confront both the potential and the risks of AI-enabled solutions, facing unresolved issues of output reliability, oversight, and liability when missteps occur.Supporting this trend, findings from the Stanford University Institute for Human-Centered Artificial Intelligence indicate that nearly 30% of AI chatbot users encountered harmful suggestions. While these statistics lack detailed breakdowns – such as which platforms or definitions of “harmful” – they shape widespread client perceptions and intensify scrutiny of AI guidance provided by IT service providers. Meanwhile, enterprise vendors like Zendesk report improved satisfaction rates from automated resolutions but emphasize the costly need to overhaul workflows and data management to effectively harness AI benefits.Additional focus is given to Microsoft's scheduled deprecation of the NTLM authentication protocol, replaced by newer mechanisms that are not yet fully deployed or reliable. Dave Sobel notes that legacy systems depending on NTLM present tangible operational and legal risks for MSPs, as clients may face authentication failures or re-enable insecure protocols unless thoroughly audited. Elsewhere, the "right to repair" movement is gaining ground as the Environmental Protection Agency affirms farmers' rights to repair their own equipment, with broader implications for IT hardware access and vendor-dependent service models.The confluence of these developments underscores the importance for MSPs and IT leaders to shift focus from product access and resale toward risk governance, lifecycle planning, and documenting client decisions—especially in AI, authentication methodologies, and hardware maintenance. Mitigating liability, clarifying accountability with clients, and tracking evolving vendor and regulatory actions are essential to maintain relevance and safeguard operations as service and product access models change. Three things to know today00:00 Workers Use More AI But Trust It Less, Creating New Service Risks03:44 Microsoft Plans NTLM Phase-Out Despite Unfinished Kerberos Replacement Technology06:32 Google, Adobe Launch AI Subscriptions While OpenAI Retires GPT-4o Next Month10:52 EPA Ruling Lets Farmers Repair Equipment, Pressures Tech Right-to-Repair LawsThis is the Business of Tech.   Supported by: 

Show DescriptionWe're passing over another milestone episode and answering your Q's with our A's while we do it: Dave goes 3D printing, should CSS be inside a web component, Chris is trying to build web component for popovers, why isn't Vue used or talked about more, finding bugs in blocks in the new CodePen, and we're grateful for 700 episodes. Listen on WebsiteWatch on YouTubeLinks Vue.js - The Progressive JavaScript Framework | Vue.js vuejs/petite-vue Syntax: Hacking Pizza Ordering For Fun And Profit - YouTube Theo - Twitch SponsorsAxe-ConAxe-con - the world's largest digital accessibility conference is from the makers of Axe-core and Axe DevTools Browser Extension. Taking place online on February 24-25. Registration is free and also gets you access to the on-demand recordings. Axe-con has a specific Development Track for dev content - some top speakers are Ire Aderinokun (front-end developer and Google developer expert), Jesse Beach (Software Engineering Manager at Meta), and other prominent folks from orgs like Coinbase, Zendesk, Red Hat, Atlassian, and more.

My guest today is ⁠Gokul Rajaram⁠, Founding Partner at Marathon Management. Gokul is one of the most prolific product builders and investors of the last twenty years. He has built the core ad and product businesses at Google, Facebook, Square, and DoorDash, working at each company during its most formative scaling periods. Alongside his operating career, Gokul has invested in more than 700 companies, giving him an unusually broad view into how products are built and scaled. This conversation is about how product building is changing with AI. We discuss the one thing Gokul believes is truly future-proof in AI, why companies like Zendesk and Slack are more exposed than Salesforce or NetSuite, and the only sources of defensibility.  We also talk about everything Gokul has learned from helping build the most important ads businesses, including the only three ways an ad business can make money, how those constraints shape product decisions, and what consumer behavior change threatens every major platform. Gokul shares lessons from working closely with Larry and Sergey, Mark Zuckerberg, Jack Dorsey, and Tony Xu. Please enjoy my conversation with Gokul Rajaram. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠.  ----- This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠Ramp⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Ramp's mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠ramp.com/invest⁠⁠ to sign up for free and get a $250 welcome bonus. ----- This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠Vanta⁠. Trusted by thousands of businesses, Vanta continuously monitors your security posture and streamlines audits so you can win enterprise deals and build customer trust without the traditional overhead. Visit ⁠vanta.com/invest⁠.  ----- This episode is brought to you by ⁠Rogo⁠. Rogo is an AI-powered platform that automates accounts payable workflows, enabling finance teams to process invoices faster and with greater accuracy. Learn more at ⁠Rogo.ai/invest⁠. ----- This episode is brought to you by⁠ ⁠WorkOS⁠⁠. WorkOS is a developer platform that enables SaaS companies to quickly add enterprise features to their applications. Visit⁠ ⁠WorkOS.com⁠⁠ to transform your application into an enterprise-ready solution in minutes, not months. ----- This episode is brought to you by⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Ridgeline⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Ridgeline has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Visit⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ridgelineapps.com⁠. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://thepodcastconsultant.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠). Timestamps (00:00:00) Welcome to Invest Like The Best (00:00:53) Meet Gokul Rajaram (00:02:05) How Product Development is Changing with AI (00:07:32) Philosophy of Product Management (00:10:19) What is Future-Proof in AI Era (00:11:25) Building AI Applications Today (00:15:03) Systems of Record vs Agent Companies (00:16:58) Which Legacy Software Companies Are Most Exposed (00:22:15) Stickiness in the AI Era (00:24:10) Learning from Larry Page and Sergey Brin (00:28:15) Learning from Mark Zuckerberg (00:31:31) Learning from Jack Dorsey (00:35:40) The Art of Great Product Design (00:36:49) Weekly CEO Communication (00:40:27) Three Ways to Succeed in Advertising (00:44:27) What Should Scare Major Ad Platforms (00:48:24) North Star Metrics (00:50:09) Self-Serve Products (00:54:50) Careers in the AI Era (00:59:03) Stay Long Enough to Have Impact (01:00:10) Founder Authenticity and Superpowers (01:02:21) Navigating the Idea Maze (01:03:42) Role of Boards (01:06:31) Excellence in Customer Acquisition  (01:09:11) The Kindest Thing 

Jacqueline Cheong is the Co-founder and CEO of Artie.Artie moves data across your systems in real-time, and we talk about why that's so important in the age of AI.It's a lot harder than you'd think, as less than 5% of real-time data streaming projects are successful.I talked to a dozen people to prepare for this conversation, including Jared Friedman who worked with Jacqueline during YC, her sales coach Ras, and numerous Artie employees like A-nee-rud, Ryan, Sarah, Shangbing and Jacqueline's co-founder Robin.We talk through how Robin built real-time data streaming at OpenDoor and Zendesk before they started Artie, and Jacqueline shares the sales playbook she learned going from hedge fund analyst to software CEO, including asking customers for their hardest problem and then solving it with the product.Artie just announced a $12 million Series A a few weeks before we published this episode. We talk about how they landed all of their early enterprise customers through cold outbound, how they structure and automate their prospecting with AI so they have no BDRs, and why they're seeing customers switch to Artie even after building their own multi-million dollar real-time streaming projects in-house.I also asked Jacqueline what it's like working with Standard Capital. They're a new fund started by a group of YC partners, and it was fascinating to hear about the things they've borrowed from YC when investing at the Series A stage.Try Numeral, the end-to-end platform for sales tax and compliance: ⁠https://www.numeral.com⁠Sign-up for Flex Elite with code TURNER, get $1,000: https://form.typeform.com/to/Rx9rTjFzTimestamps:(4:08) Artie: Real-time data streaming(5:13) Why moving data is so hard(9:14) Evolution of data warehouses(12:47) AI needs real-time data(18:44) Build vs buy in data streaming(22:51) How to build in a crowded market(26:26) Early focus on a specific hard problem(30:33) Acquiring enterprise customers from cold emails(32:51) Onboarding their first customer with no UI(35:46) Solving compliance and implementation(38:50) How to automate internal engineering, marketing, and ops(44:01) Building an AI-powered GTM pipeline and motion(53:00) Starting Artie to solve their own problem(59:25) Discovering YC through a friend(1:02:20) Everything Jacqueline learned about sales(1:06:29) How to improve your sales discovery calls(1:10:08) Inside Artie's $12m Series A(1:16:44) What its like working with Standard Capital(1:22:59) Jacqueline's favorite bookReferencedTry Artie: https://artie.comCareers at Artie: https://www.artie.com/careersClay: https://www.clay.comPodcast with Tommy @ Alloy: https://www.youtube.com/watch?v=e7i8Wxklu-YYCombinator: https://www.ycombinator.comStandard Capital: https://www.standardcap.comFounding Sales: https://www.foundingsales.comThe Score Takes Care of Itself: https://www.amazon.com/Score-Takes-Care-Itself-Philosophy/dp/1591843472Follow JacquelineTwitter: https://x.com/JacquelineSYC19LinkedIn: https://www.linkedin.com/in/jacqueline-cheongFollow TurnerTwitter: https://twitter.com/TurnerNovakLinkedIn: https://www.linkedin.com/in/turnernovakSubscribe to my newsletter to get every episode + the transcript in your inbox every week: https://www.thespl.it/

For years, we've heard about AI transforming software development. But what if that same level of agentic, AI-driven collaboration could be applied not just to writing code, but to writing your entire go-to-market playbook?Agility requires that your go-to-market teams operate at the speed of insight, not at the speed of manual data entry and fragmented workflows. This means empowering them with tools that don't just provide data, but automate action based on strategic intent.Today, we're going to talk about the concept of an 'agentic' go-to-market platform, where AI doesn't just assist, but actively collaborates with sales and marketing teams to automate entire workflows, from strategy to execution.To help me discuss this topic, I'd like to welcome, Marcio Arnecke, Chief Marketing Officer at Apollo.io. About Marcio Arnecke As Apollo.io's Chief Marketing Officer, Marcio Arnecke brings a visionary approach to scaling high-growth B2B SaaS marketing in the AI-driven sales landscape. With over two decades of experience driving revenue acceleration across global markets, he has consistently transformed early-stage technology companies into market-defining brands. His expertise in AI-powered go-to-market strategies uniquely positions him to accelerate Apollo's mission of empowering sales teams through intelligent data and automation. Previously, he played a pivotal role in scaling marketing functions at SaaS giants like Intercom and Zendesk, where he drove remarkable growth from $40M to $1.7B, culminating in a successful IPO that raised $100 million in 2014. Leveraging his comprehensive background in demand generation, product marketing, and strategic storytelling, Marcio is focused on positioning Apollo as the go-to AI sales platform for SMB and mid-market teams. His approach combines data-driven insights with targeted narrative strategies, translating Apollo's technological capabilities into practical business value. Drawing from his global experience across Silicon Valley and international markets, Marcio aims to expand Apollo's brand and demonstrate how AI can meaningfully improve sales engagement for growing businesses. Marcio holds advanced degrees from Stanford University's Graduate School of Business and Golden Gate University, complemented by a BS in Business Administration from Universidade Feevale in Brazil. Marcio Arnecke on LinkedIn: https://www.linkedin.com/in/marcioarnecke/ Resources Apollo.io: https://www.apollo.io Take your personal data back with Incogni! Use code AGILE at the link below and get 60% off an annual plan: https://incogni.com/agile  The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow Catch the future of e-commerce at eTail Palm Springs, Feb 23-26 in Palm Springs, CA. Go here for more details: https://etailwest.wbresearch.com/Drive your customers to new horizons at the premier retail event of the year for Retail and Brand marketers. Learn more at CRMC 2026, June 1-3. https://www.thecrmc.com/ Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://ratethispodcast.com/agileConnect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.showCheck out The Agile Brand Guide website with articles, insights, andMartechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company Hosted on Acast. See acast.com/privacy for more information.

For years, we've heard about AI transforming software development. But what if that same level of agentic, AI-driven collaboration could be applied not just to writing code, but to writing your entire go-to-market playbook? Agility requires that your go-to-market teams operate at the speed of insight, not at the speed of manual data entry and fragmented workflows. This means empowering them with tools that don't just provide data, but automate action based on strategic intent. Today, we're going to talk about the concept of an 'agentic' go-to-market platform, where AI doesn't just assist, but actively collaborates with sales and marketing teams to automate entire workflows, from strategy to execution. To help me discuss this topic, I'd like to welcome, Marcio Arnecke, Chief Marketing Officer at Apollo.io. About Marcio Arnecke As Apollo.io's Chief Marketing Officer, Marcio Arnecke brings a visionary approach to scaling high-growth B2B SaaS marketing in the AI-driven sales landscape. With over two decades of experience driving revenue acceleration across global markets, he has consistently transformed early-stage technology companies into market-defining brands. Hisexpertise in AI-powered go-to-market strategies uniquely positions him to accelerate Apollo's mission of empowering sales teams through intelligent data and automation. Previously, he played a pivotal role in scaling marketing functions at SaaS giants like Intercom and Zendesk, where he drove remarkable growth from $40M to $1.7B, culminating in a successful IPO that raised $100 million in 2014. Leveraging his comprehensive background in demand generation, product marketing, and strategic storytelling, Marcio is focused on positioning Apollo as the go-to AI sales platform for SMB and mid-market teams. His approach combines data-driven insights with targeted narrative strategies, translating Apollo's technological capabilities into practical business value. Drawing from his global experience across Silicon Valley and international markets, Marcio aims to expand Apollo's brand and demonstrate how AI can meaningfully improve sales engagement for growing businesses. Marcio holds advanced degrees from Stanford University's Graduate School of Business and Golden Gate University, complemented by a BS in Business Administration from Universidade Feevale in Brazil. Marcio Arnecke on LinkedIn: https://www.linkedin.com/in/marcioarnecke/ Resources Apollo.io: https://www.apollo.io Take your personal data back with Incogni! Use code AGILE at the link below and get 60% off an annual plan: https://incogni.com/agile  The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow Catch the future of e-commerce at eTail Palm Springs, Feb 23-26 in Palm Springs, CA. Go here for more details: https://etailwest.wbresearch.com/ Drive your customers to new horizons at the premier retail event of the year for Retail and Brand marketers. Learn more at CRMC 2026, June 1-3. https://www.thecrmc.com/ Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://ratethispodcast.com/agile Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstrom Don't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.show Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

Show DescriptionWeb Day Out is coming up and Jeremy Keith from Clearleft (name pending the ShopTalk Show rebrand) is here to chat about it and while we've got him, Dave throws him on the hot seat to answer some hard hitting journalism questions about the state of the web in 2026. Listen on WebsiteWatch on YouTubeLinks Web Day Out in Brighton, March 12th 2026 Strategic design partners for website and service design | Clearleft css.properties Raycast - Your shortcut to everything Rachel Andrew – Doing stuff on the web since 1996. Browser support at Clearleft CSS Day 2026, 11th & 12th of June, Amsterdam SponsorsAxe-conAxe-con - the world's largest digital accessibility conference is from the makers of Axe-core and Axe DevTools Browser Extension. Taking place online on February 24-25. Registration is free and also gets you access to the on-demand recordings. Axe-con has a specific Development Track for dev content - some top speakers are Ire Aderinokun (front-end developer and Google developer expert), Jesse Beach (Software Engineering Manager at Meta), and other prominent folks from orgs like Coinbase, Zendesk, Red Hat, Atlassian, and more.

CISA's acting director assures Congress the agency has “stabilized”. Google and Cisco patch critical vulnerabilities. Fortinet firewalls are being hit by automated attacks that create rogue accounts. A global spam campaign leverages unsecured Zendesk support systems. LastPass warns of attempted account takeovers. Greek authorities make arrests in a sophisticated fake cell tower scam. Executives at Davos express concerns over AI. Pwn2Own Automotive proves profitable. Our guest is Kaushik Devireddy, AI data scientist at Fable Security, with insights on a fake ChatGPT installer. New password, same as the old password.  Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our daily intelligence roundup, Daily Briefing, and you'll never miss a beat. And be sure to follow CyberWire Daily on LinkedIn. CyberWire Guest Today we are joined by Kaushik Devireddy, AI data scientist at Fable Security, discussing their work on "How a fake ChatGPT installer tried to steal my password". Selected Reading CISA Is 'Trying to Get Back on Its Mission' After Trump Cuts (CISA) Google Patches High-Severity V8 Race Condition in Chrome 144 published: today (Beyond Machines) Cisco Patches Actively Exploited Flaw in Unified Communications Products (Beyond Machines) Hackers breach Fortinet FortiGate devices, steal firewall configs (Bleeping Computer) Zendesk ticket systems hijacked in massive global spam wave (Bleeping Computer) LastPass Warns of Phishing Campaign Attempting to Steal Master Passwords (Infosecurity Magazine) Greek Police Arrest Scammers in Athens Using Fake Cell Tower for SMS Phishing Operation (TechNadu) Execs at Davos say AI's biggest problem isn't hype — it's security (Business Insider) Hackers exploit 29 zero-days on second day of Pwn2Own Automotive (Bleeping Computer) Analysis of 6 Billion Passwords Shows Stagnant User Behavior (SecurityWeek) Share your feedback. What do you think about CyberWire Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show. Want to hear your company in the show? N2K CyberWire helps you reach the industry's most influential leaders and operators, while building visibility, authority, and connectivity across the cybersecurity community. Learn more at sponsor.thecyberwire.com. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

Send us a textEnterprise software vendors are tightening execution around AI enablement, workflow depth, and operational recovery rather than pursuing broad platform reinvention. Acquisition activity—from Sage moving to acquire Fyle, to SYSPRO acquiring DATASCOPE, Zendesk completing its acquisition of HyperArc, and Contentsquare acquiring Loris AI—signals a continued emphasis on capability-led expansion tightly aligned to core use cases. In parallel, AI product announcements from NetSuite, Sage Intacct, Zoho, and Zendesk emphasize connectors, agents, and embedded intelligence designed to improve productivity within existing workflows rather than displace them. Finally, the case of AAON underscores the operational reality behind these trends: ERP value is ultimately realized not through announcements or AI features alone, but through disciplined execution, stabilization, and long-term operational turnarounds—particularly in complex manufacturing environments where recovery often matters more than rapid transformation.In today's episode, we invited a panel of industry analysts for a live discussion on LinkedIn to analyze current enterprise software stories. We covered many grounds including the direction and roadmaps of each enterprise software vendors. Finally, we analyzed future trends and how they might shape the enterprise software industry.Video: https://www.youtube.com/watch?v=uOdEBRue0MMQuestions for Panelists?

Show DescriptionWhy are AI tools so bad at CSS layout, Robin Rendle inspired monospaced fonts, CodePen's slideVars library, why are Safari dev tools so hard to use, button follow up, and what player component does ShopTalk use for it's website? Listen on WebsiteWatch on YouTubeLinks Clair Obscur | Expedition 33 Apple One Where's the AI design renaissance? Outlyne Bolt Lando Norris Robin Rendle Dave Rupert Casey Newton slideVars - Automatic Sliders for CSS Custom Properties Media Chrome Docs SponsorsAxe-conAxe-con - the world's largest digital accessibility conference is from the makers of Axe-core and Axe DevTools Browser Extension. Taking place online on February 24-25. Registration is free and also gets you access to the on-demand recordings. Axe-con has a specific Development Track for dev content - some top speakers are Ire Aderinokun (front-end developer and Google developer expert), Jesse Beach (Software Engineering Manager at Meta), and other prominent folks from orgs like Coinbase, Zendesk, Red Hat, Atlassian, and more.

Everett Chaffin, Director of Global TA Operations at Zendesk, joins us to explore how recruiting operations can become a true force multiplier for people. He shares his journey from starting his career at his dad's agency to running TA Ops for Zendesk. He unpacks how AI, standardization, and storytelling empower recruiters to act as trusted talent advisors rather than just process owners.  Thank you to our sponsor, SecureVision, for making this show possible! Follow us:https://www.linkedin.com/company/82436841/SecureVision: #1 Rated Embedded Recruitment Firm on G2!https://www.g2.com/products/securevision/reviewsThanks for listening!

Revenue teams are dealing with more tools, more data, more automation - and more pressure - than ever before. Growth isn't just about selling better anymore. It's about how the entire revenue engine actually works.For the first time, RevOps isn't a background function — it's shaping how companies grow, scale, and make decisions.In this episode of the Belkins Podcast, Michael Maximoff sits down with Jen Igartua, Founder & CEO of Go Nimbly, to unpack what's really happening inside modern revenue organizations — and why RevOps is suddenly at the center of it all.Jen has helped architect revenue systems for some of the most respected SaaS companies in the world, including Twilio, Zendesk, Snowflake, Intercom, and Superhuman. But this conversation isn't about theory or frameworks. It's about what breaks when companies scale, where AI actually helps (and where it creates chaos), and why the future of sales, marketing, and RevOps looks very different than most teams expect.What you'll learn in this episode:Why RevOps is having a moment — and how rising complexity, AI adoption, and executive pressure have pushed RevOps into a strategic roleWhat Revenue Operations actually does beyond automation, reporting, and tooling — including enablement, strategy, and protecting the customer experienceHow AI is changing RevOps teams — from workflow automation and data architecture to the risks of agent and automation sprawlThe real future of sales roles — why junior SDR roles are disappearing, and why business development is becoming more senior, not automated awayHow to know when your company needs RevOps — including revenue thresholds, organizational signals, and common mistakes founders make too earlyWhat strong RevOps teams get right — clean data, shared definitions, cross-functional trust, and decision-making that actually sticksThroughout the episode, Jen and Michael go deep on the messy, human side of scaling revenue — misaligned incentives, broken handoffs, over-engineered stacks, and the uncomfortable truth that most companies don't actually have a single view of the customer.This isn't a hype conversation about tools. It's a grounded look at how modern revenue organizations are being rebuilt — and why RevOps is now one of the most critical functions inside growing B2B companies.Chapters:00:00- Intro: Who is Jen Igartua03:17- What is RevOps?09:25- AI Changed RevOps: AIOps, When to Hire RevOps, Build vs Outsource17:25- Workflow Automation Is Getting Out of Control24:02- What's Next: Platform Consolidation in RevOps27:46- Clay, HubSpot, and the Reality of the Modern RevOps Stack33:48- The Limits of AI in Sales & Marketing39:25- How SDRs, Marketing, and Social Selling Are Merging49:50- RevFest: Building Real RevOps Community01:00:49- Go Nibly's Evolution and Strategy01:12:44- Curated Dinners as Acquisition Strategies01:21:26- Creativity, Leadership, and “Follow the Fun”About the ShowWhat does it really take to grow a B2B business today? We ask the people doing it.The Belkins Podcast dives deep into the strategies, decisions, and behind-the-scenes insights driving real growth at top B2B companies. Each episode features candid conversations with industry heavyweights — CROs, CMOs, founders, and seasoned operators — who've navigated market downturns, scaled teams, and dealt with the realities of modern revenue growth.You'll hear hard truths, unfiltered insights, and actionable perspectives from leaders who've actually built and operated revenue engines at scale.

When will customer service be run entirely by bots? Today, we're talking to Adrian McDermott, CTO at Zendesk, about how AI agents are transforming customer experience. We discuss why automation drives escalation instead of elimination, how Zendesk is moving from seat-based to outcome-based pricing with their resolution platform, and why the future of leadership requires being more like a slot machine than a vending machine. Thank you to Digital Ocean for sponsoring this episode. For simple cloud and powerful AI that's built to scale, check out Digital Ocean here. All of this right here, right now, on the Modern CTO Podcast!  To get learn more about Zendesk, check out their website here.

We're bringing this episode back because listeners couldn't get enough the first time around. Cameron sits down with Tom Keiser, COO of Zendesk, to unpack how he helped scale the SaaS powerhouse to a billion-dollar trajectory. Tom shares how he bridged the gap between IT and operations, built cadence-driven execution rhythms, and created visibility across the business while keeping the culture humble, fast, and customer-obsessed.If you're leading a growing company and need a blueprint for scaling without suffocating the entrepreneurial edge… this one hits hard.Timestamped Highlights01:11 Meet Tom Keiser and his path from CIO to COO02:00 Early days: Capgemini, E&Y, and stepping into tech leadership05:27 What Zendesk actually does (and how it scaled globally)07:33 How SaaS changed the business–IT power dynamic08:55 Why CIOs must become business partners, not tech overseers10:54 The PMO strategy that keeps Zendesk aligned as it scales12:04 Tom's weekly operational cadence pulled from retail13:50 Turning insights into action: Sales, pipeline, and global adjustments15:37 How Zendesk avoids bureaucracy while growing fast17:39 Culture: The Danish “Humbled It” mindset19:36 Saying no without killing momentum20:57 Managing customer support when your whole business is CX23:38 Omnichannel done right: Continuous conversations, not disconnected pings26:14 Machine learning inside Zendesk Guide29:18 How Tom balances immediate execution with long-term scaling32:55 What smaller companies can learn from Zendesk's growth34:34 Vulnerability and learning to step into discomfort as a leader36:25 When to trust your team and when to drop into details37:51 How Zendesk's founder transitioned out of day-to-day execution39:18 Market risks, public cloud, open-source, and economic uncertainty39:46 What 5G will unleash for future customer experiences43:12 Building whole leaders, not siloed operators44:13 Tom's advice to his 21-year-old selfAbout the GuestTom Keiser is the Chief Operating Officer of Zendesk, where he oversees global operations, IT, enterprise analytics, security, and go-to-market execution for one of the world's leading customer experience platforms. With 25+ years of experience across retail, technology, and SaaS, Tom blends deep technical expertise with business-led operational leadership. Before Zendesk, he served as CIO at L Brands and spent years in management consulting at Capgemini and Ernst & Young.

Episode web page:  ----------------------- Episode summary: In this episode of Insights Unlocked, Nathan Isaacs talks with marketing powerhouse Bill Macaitis—former CMO of Slack, Zendesk, and Salesforce—about how B2B companies can scale efficiently by prioritizing customer experience, building authentic brands, and embracing new go-to-market models. Bill shares lessons from his career and dives into the importance of customer-centric cultures, long-term thinking, and the strategic use of AI in modern marketing. What you'll learn in this episode: Why capital-efficient growth beats “growth at all costs”—and how to build it The playbook for operationalizing customer centricity in a B2B environment How to align teams across marketing, product, and sales with shared metrics What most companies get wrong about attribution models How AI can empower marketers—without replacing them The secret to building a B2B brand people actually love (and talk about) Tips for individual contributors to challenge legacy playbooks and advocate for change About the guest: Bill Macaitis is an executive advisor and board member who has led marketing at some of the most iconic names in SaaS, including Slack, Zendesk, and Salesforce. Known for his customer-first approach and bold brand vision, Bill now advises AI startups on how to build scalable, loved companies from the ground up. Resources & Links: Bill Macaitis on LinkedIn (https://www.linkedin.com/in/bmacaitis/) SaaS CMO Pro website (https://www.saascmopro.com/) SaaS CMO Pro newsletter (https://saascmopro.substack.com/) Bill's YouTube videos (https://www.youtube.com/@SaaSCMOPro/videos) Nathan Isaacs on LinkedIn (https://www.linkedin.com/in/nathanisaacs/) Learn more about Insights Unlocked: https://www.usertesting.com/podcast

In the latest solo episode of the Happy Hustle Podcast, I dive into 24 AI tools that you can integrate into your business to streamline operations, enhance customer service, and boost productivity. Whether you're a small startup or a booming enterprise, these tools are game-changers. Here's a sneak peek of what you'll discover:Task Automation: Streamline your operations with tools like Zapier and IFTTT.Scheduling: Say goodbye to endless back-and-forth emails with Calendly and Acuity Scheduling.Inventory Management: Keep track of your stock effortlessly with TradeGecko and Fishbowl Inventory.Financial Management: Simplify your bookkeeping with QuickBooks and Expensify.Customer Service: Enhance your customer interactions with Drift, Intercom, and Zendesk.Market Research: Get ahead of trends with Crimson Hexagon and TalkWalker.And that's just the beginning! Listen to the full episode now and discover how all these AI tools can help you save time, reduce costs, and scale your business faster than ever before. Plus, I've included some awesome pro tips to ensure you make the most out of each tool.Connect with Cary!https://www.instagram.com/cary__jack/https://www.facebook.com/SirCaryJackhttps://www.linkedin.com/in/cary-jack-kendzior/https://twitter.com/thehappyhustlehttps://www.youtube.com/channel/UCFDNsD59tLxv2JfEuSsNMOQ/featured Get a free copy of his new book, The Happy Hustle, 10 Alignments to Avoid Burnout & Achieve Blissful Balance (https://www.thehappyhustlebook.com/)Sign up for The Journey: 10 Days To Become a Happy Hustler Online Course (http://www.thehappyhustle.com/Journey)Apply to the Montana Mastermind Epic Camping Adventure (https://caryjack.com/montana)“It's time to Happy Hustle, a blissfully balanced life you love, full of passion, purpose, and positive impact!”Episode sponsor BIOptimizers Magnesium BreakthroughThis stuff is a game-changer! Magnesium Breakthrough packs all 7 forms of magnesium, designed to support stress management, promote muscle relaxation, regulate the nervous system, control stress hormones, boost brain function, increase energy, and enhance sleep.I take 2 capsules before bedtime, and it's been a game-changer for me. The best part is, BIOptimizers offer a risk-free.

When Cloudbeds faced a post-sales organization at 120% capacity, no budget, and declining efficiency, Colin Slade chose to rebuild the operation through AI. Within nine months, his four-person AIOps team deployed more than 150 workflows and agents, automating 75% of repetitive work and reclaiming 7,000 hours every month.This episode details how Colin turned a resource-starved customer success organization into an AI-driven engine. It explores the early missteps, the shift from overengineering to small, quick wins, and how incremental adoption evolved into company-wide transformation.A practical study in applied AI, organizational change, and measurable outcomes—showing how constraint, not abundance, can drive real innovation.Timestamps0:00 – Preview & Introduction0:57 – Meet Colin Slade and the Situation at Cloudbeds9:25 – Mitigating Team Fears Around AI Replacing Jobs13:13 – The Stepwise Approach to Implementing AI19:50 – Scaling Securely: Working with IT, Risk-Taking, and Adoption24:00 – Roles and Team Structure for Effective AI Operations33:10 – Documentation as a Hidden Bottleneck39:45 – Build vs. Buy: Why Cloudbeds Built In-House42:20 – The Impact and a Culture of Fearless ExperimentationWhat You'll Learn* How to rebuild a post-sales org around AI without additional headcount* The step-by-step approach to deploying 150+ workflows in under a year* How to identify and structure AI roles: visionary, operators, knowledge masters, and project leads* The cultural and psychological levers for AI adoption* How to optimize documentation for AI readability (and boost SEO at the same time)* The measurable impact of AI on cost savings, efficiency, and morale---Check out the Key Takeaways & Transcripts: ⁠https://www.gainsight.com/presents/series/unchurned/⁠---Where to Find Colin:LinkedIn: ⁠https://www.linkedin.com/in/colinslade/Where to Find Josh: LinkedIn: ⁠https://www.linkedin.com/in/jschachter/⁠---Resources: n8n – https://n8n.io/Forethought – https://forethought.ai/Google AI Studio – https://aistudio.google.com/Anthropic Claude – https://claude.ai/Gemini – https://gemini.google.com/appLovable – https://lovable.dev/Pinecone – https://www.pinecone.io/Snowflake – https://www.snowflake.com/en/Zendesk – https://www.zendesk.nl/Salesforce – https://www.salesforce.com/Slack – https://slack.com/

Hey CX Nation,In this week's CXWeekly Update episode I walk through some ideas, goals & CTAs that me & the team at CXC have been focused on.Full candor, we're in a full blown sales sprint to the end of the year to close 2025 with a bang & tee up the best year yet in 2026.We're also working on a ton of new customer focused business content -- including my 2nd book "Make Happiness A Habit" that we are launching in the New Year. Don't worry we have a ton of amazing guest interviews coming down the pipeline over the next couple of weeks.Part of our goal at CXC is to create some of the best customer focused business leader content, including short episodes like these CXWeekly updates that are digestible, actionable & most importantly entertaining for all of you.Huge thanks for all of you who helped to celebrate our 5 year anniversary of building CXChronicles, it's been a hell of a journey. Approaching 300+ episodes of customer focused business contentWorked with 150+ companies across the world helping make customer & employee happiness a habitPartnered with biggest players in software & technology including Salesforce, Hubspot, Intercom, Zendesk, & Freshworks.Launched CXC Healthzone Intelligence Platform, go see how your company's CX stacks up the rest. If you enjoy The CXChronicles Podcast, stop by your favorite podcast player and leave us a review today.You know what would be even better?Go tell one of your friends or teammates about CXC's content, CX/CS/RevOps services, our customer & employee focused community & invite them to join the CX Nation!For you non-readers, go check out the CXChronicles Youtube channel to see our customer & employee focused video content & short-reel CTAs to improve your CX/CS/RevOps performance today (politely go smash that subscribe button).Contact us anytime to learn more about CXC at INFO@cxchronicles.com and ask us about how we can help your business & team make customer happiness a habit now!Reach Out To CXC Today!Support the showContact CXChronicles Today Tweet us @cxchronicles Check out our Instagram @cxchronicles Click here to checkout the CXC website Email us at info@cxchronicles.com Remember To Make Happiness A Habit!!

She starts with tape from the field, not the spreadsheet. Listening to enterprise sales calls, Amy Foo heard customers whose usage rose and fell with seasons. Fixed per-seat pricing “wasn't quite hitting the mark,” she tells us, so she piloted a pooled-seat model that flexed monthly within an annual commitment—turning smaller clips into “one to five million” deals and lifting revenue “six to seven times per customer,” she tells us.That instinct—to meet the customer where they are—threads through her journey. Early at Zendesk, she was “employee number one in the region,” handling FP&A, accounting, taxes, and team-building as the business scaled, she tells us. Trust won her a dual path: SVP of Global Finance Operations (deal desk, billings, shared services) and APAC managing director, aligning teams across seven countries, she tells us. Mentors' unvarnished feedback helped her shed imposter syndrome and lead without geographic ceilings.Today at Ignition, she reduces complexity to a few levers—ARR, payments volume, cash flow—and aligns accordingly, she tells us. She monitors top-of-funnel quality and pipeline coverage daily to steer marketing spend and sales motions, she tells us. On pricing, she watches what customers pay and repackages value by segment, she tells us. She leads with customer insight, she tells us.As for AI, she calls it “not a magic pill,” advocating first for AI built into existing vendors, then new tools where capabilities are missing, she tells us. Finance, after all, is “about narrative and conviction”—numbers that move people to act, she tells us.

Hilary Shirazi - Head of Corporate Development at Notion Hilary Shirazi, Head of Corporate Development at Notion, brings over a decade of M&A experience from LinkedIn, Pinterest, and Zendesk to discuss building corporate development strategy at high-growth tech companies. She shares her proven deal thesis methodology, the "Four T's" framework for categorizing acquisitions, and why integration without an IMO might be the better approach for agile teams. Things you will learn: The Deal Thesis Framework – How to crystallize strategy before identifying targets using Hilary's proven document template The Four T's of M&A – Talent, Tech, Traction, and Terrain categories that determine your acquisition approach and integration strategy Integration Without IMO – Why embedding integration throughout the process beats traditional handoff models for most deals ___________________ The Buyer-Led M&A™ Summit is back.The virtual event built for dealmakers who want to eliminate chaos and take control from sourcing through integration.