Podcasts about cios

Factory started building fully autonomous coding agents in April 2023, two years before enterprises were ready. Matan Grinberg now says this is indistinguishable from being wrong. The Factory co-founder and CEO explains how the company survived its "journey in the desert," including the decision to hand nearly all of its revenue back to customers when the product wasn't making developers obsessed. Matan makes the contrarian technical case that a model-agnostic harness beats the model-and-harness co-design that labs like OpenAI and Anthropic favor, because exposing a harness to many models keeps it from overfitting to any single one. He argues open-weight models like GLM will capture the majority of tokens by staying one generation behind the frontier at a fraction of the cost, and that CIOs will soon justify every incremental token the way they justify headcount. Looking ahead, he predicts 90% of coding tokens will run asynchronously—the "dark factory" where software builds itself. Hosted by Sonya Huang and Pat Grady, Sequoia Capital

Healthcare AI is moving faster than many health systems can govern it.In this episode of Straight Out of Health IT, David Hilderbrand, Chief Commercial Officer at Ferrum Health, joins Christopher Kunney to discuss the rapid rise of clinical AI, medical imaging AI consolidation, and the growing need for enterprise-level governance. He explains why health systems are no longer just asking which AI tools to buy, but how to monitor, manage, and understand the tools already running across their organizations. As AI enters through devices, platforms, service lines, and vendor relationships, CIOs and clinical leaders are facing a new kind of operational complexity. The conversation explores why effective AI oversight has become essential as adoption accelerates across healthcare.David breaks down the difference between AI committees, analytics, telemetry, and true governance. He explains that governance is not simply about knowing whether an algorithm is turned on, but about understanding how it behaves in clinical care and how it performs across different patient populations. Without that level of visibility, health systems risk overlooking issues such as bias, model drift, inconsistent performance, and patient impact. He argues that meaningful governance is critical to ensuring AI delivers safe, reliable, and measurable clinical value.David also shares how Ferrum Health approaches clinical AI through platforming, observability, and neutral model monitoring. Rather than recommending which AI tools organizations should adopt, Ferrum helps health systems gain visibility into their entire AI portfolio so they can make informed decisions about expanding, replacing, or retiring algorithms. The discussion also covers measuring ROI, recognizing the costs of underperforming AI models, and the importance of early disease detection. Hilderbrand concludes by explaining why AI governance should remain independent from vendor bias to support better long-term clinical and operational outcomes.Tune in to hear why clinical AI governance is becoming essential infrastructure for health systems, and why the future of healthcare AI depends on visibility, accountability, and trust.Key TakeawaysClinical AI is expanding quickly, but many health systems lack the tools to understand what is actually running across their environments. Vendor sprawl is creating new operational, financial, and clinical risks as AI tools enter through devices, platforms, and service lines. True AI governance goes beyond telemetry and analytics; it requires visibility into how algorithms interact with patients and clinical workflows. Health systems need unbiased observability to determine whether clinical AI tools are performing as promised. AI governance can help organizations reduce the cost of failed algorithms and improve the value of their AI investments. Early detection through clinical AI can improve patient outcomes while also reducing downstream care costs. Governance must remain separate from vendor bias so health systems can make clear decisions about which tools to keep, expand, replace, or remove. The next phase of clinical AI will require stronger infrastructure, especially as agentic AI and cloud-based workflow solutions grow.ResourcesConnect with David Hilderbrand on LinkedIn.Follow Ferrum Health on LinkedIn and visit their website.

Could the disaster recovery plan designed to protect your company make a ransomware incident even worse? In this episode, I speak with Darren Thomson, Vice President and Chief Technology Officer for EMEA at Commvault, about Resilience Operations, commonly known as ResOps, and why cyber recovery now requires security, infrastructure, identity and data teams to work from one coordinated plan. Darren argues that many companies are accepting a difficult reality. Even with considerable investment in prevention and detection, a breach may eventually succeed. That does not make cybersecurity controls any less necessary, but it means recovery can no longer be treated as a secondary activity managed by another department. The problem is that security operations and infrastructure teams have traditionally worked toward different objectives. Security specialists concentrate on identifying and stopping threats. Infrastructure teams protect data, maintain backups and restore systems after outages. During a cyberattack, a successful recovery requires both sets of expertise. A backup administrator may be able to restore data quickly, but a forensic specialist must establish whether that data is clean. Without that confirmation, the company risks restoring malware and restarting the incident. Darren explains why a conventional disaster recovery plan may be particularly dangerous during ransomware. These plans were commonly designed for physical failures such as a lost data center. Data would be copied from one location to another so operations could continue. If the source data is infected, however, fast replication can carry the malware into the recovery environment. This is where ResOps enters the discussion. Darren describes it as an operating model rather than a product. It combines established practices from security and infrastructure management into a continuous program for testing, learning and improving recovery. Individual technology projects may come from the program, but resilience itself never reaches a final completion date. AI adds pressure on both sides. Criminals can use it to create faster and more effective attacks, while defenders can use machine learning to inspect large volumes of information, detect patterns and identify the newest clean recovery point. Companies must also protect AI systems as they would any other business application, including the models, data repositories and identities connected with them. Darren offers one practical starting point for CIOs and CISOs: Mean Time to Clean Recovery, or MTCR. This measures how long it takes to restore an application and its data with evidence that both are free from compromise. Before measuring MTCR, leaders must define their minimum viable company. These are the systems and services the business cannot operate without. Once that list exists, teams can test how long a verified clean recovery would take and replace assumptions with evidence. The initial answer may be uncomfortable. Teams may know how to restore an application without knowing whether the backup is clean. Security may know how to inspect the system but lack an established workflow with the recovery team. Darren sees those gaps as the starting point for a useful ResOps program because they provide everyone with a shared problem and a measurable objective. If your most important systems disappeared today, how long would it take to bring the minimum viable company back using verified clean data? Listen to the episode and share your answer with me.

CIOs across Southeast and Northeast Asia face a brutal budgetary paradox today: board-mandated surges in AI and cybersecurity investments clashing directly with flat overall IT expenditure. According to IDC and Forrester, while regional tech spending is rising, geopolitical risks and inflation are eroding real purchasing power. Consequently, technology leaders are forced into aggressive reallocation. They must defer legacy ERP upgrades, consolidate SaaS contracts, and renegotiate vendor support to fund digital priorities without expanding the top-line budget, turning run-rate IT optimisation into a critical strategic lever for margin protection. This shift is redefining the CIO role.In this PodChats for FutureCIO, we explore why IT budget strategies need to shift from cutting waste to driving innovation. For more on this, we are joined by Seth Ravin, CEO of Rimini Street.Setting the Macro Context1.       With overall IT budgets remaining largely flat across Asia despite surging AI demands, how are CIOs fundamentally restructuring their 2026 budget cycles to accommodate these new priorities without asking for more money?The Core Trade-off: AI vs. Legacy 2.       In your conversations with customers, when boards ring-fence AI and cybersecurity spend, which specific legacy IT projects or 'run rate' operations bear the brunt of the cuts?3.       You have highlighted the deferral of ERP upgrades; what are the operational and technical risks CIOs are willing to accept by pushing these critical modernisations down the line?Executing the Cuts: ERP, SaaS, and Cloud 4.       How are enterprises leveraging third-party enterprise software support models to immediately free up capital. Is this shifting from a tactical cost-saving measure to a strategic boardroom lever? 5.       Beyond traditional on-premise legacy systems, are we now seeing CIOs aggressively consolidating SaaS contracts and even renegotiating hyperscaler cloud commitments to fund AI initiatives?Regional and Sector Nuances 6.       CIOs at different sectors: manufacturing, healthcare, logistics, and financial services, approach how they manage their IT budgets. Are there distinct budget-cutting patterns or unique pressures specific to these sectors in the Asian market?The CIO and CFO Dynamic 7.       How has the conversation between the CIO and CFO evolved in the region? Are finance leaders now driving IT vendor renegotiations, or is the CIO leading this charge to protect innovation budgets?Strategic and Financial Implications 8.       Looking beyond 2026, if AI and cyber costs continue to scale without a corresponding increase in overall IT budgets, is the current model of funding them purely through legacy cuts sustainable?9.       Let's round out what we've covered so far. Our topic is IT budget strategies for focusing on innovation and not cost-cutting. What are your top 3 recommendations for IT budget strategies for focusing on innovation and not cost-cutting?

In 2026, the competitive advantage in AI will no longer come from model speed or scale—it will come from trust. As Southeast Asia and Korea accelerate enterprise AI adoption amid fragmented regulatory landscapes (from Singapore's FEAT to Korea's AI Basic Act), the CIO's mandate has shifted from deployment to defense. “AI integrity”—the convergence of data provenance, bias mitigation, explainability, and ethical resilience—is now a board-level risk. For heads of compliance and data science, the question is no longer “Can we scale AI?” but “Can we certify its integrity?” Without it, you face regulatory fines, model drift, and reputational collapse.  In this PodChats for FutureCIO, we are joined by Lee Anstiss, Regional Director, Southeast Asia and Korea at Infoblox, to hopefully get insights and tips on how to safeguard AI integrity.1.       Do Asia's CIOs and CISOs know exactly which AI models are running across all our business units—or is shadow AI already creating integrity risks we cannot see?2.       Given the fragmented state of each model's regulatory status, what options are there for CIOs as they navigate fragmented rules with fragmented data?3.       In your view, are enterprises in Asia prioritizing raw accuracy over an “integrity scorecard” that includes bias, explainability, and robustness—and if so, are CIOs trusting models that are fast but not fair?4.       Based on current technologies and practices, can CIOs trace every piece of training data, including synthetic data, back to its source? Do organisations have blind spots where hidden bias or poisoned inputs could enter?5.       Can CIOs test their production AI for bias against local languages and cultural norms in each market? Can they produce an audit trail for any regulator who asks?6.       If a regulator demands proof of real-time bias disclosure tomorrow, is there a way for enterprises to have automated logs mapped to specific legal articles?7.       Should organisations maintain a human-in-the-loop for high-stakes decisions, with override logs that feed back into retraining? How risky is using the discipline of oversight as a checkbox?8.       Our topic is “tips on how to safeguard AI integrity” Can you share some of the most common or practical tips for CIOs, heads of AI, for ensuring or safeguarding AI integrity.

A organização da Feagro 2026 fez um balanço positivo da edição realizada na última semana, destacando a consolidação do evento como uma das maiores feiras do agronegócio de Santa Catarina. Embora tenha registrado uma redução no volume de negócios e no número de visitantes em comparação ao ano anterior, a avaliação da comissão organizadora é de que os objetivos foram alcançados, especialmente na promoção de tecnologia, inovação e conhecimento ao produtor rural. Em entrevista à Rádio Cruz de Malta FM, o coordenador geral da feira, Adir Engel, ressaltou que a Feagro segue crescendo e fortalecendo seu papel no setor. "A cada ano ela se consolida como um dos grandes eventos do agro, não só da região Sul, mas de todo o estado de Santa Catarina. Nosso objetivo é levar tecnologia e conhecimento ao produtor rural", afirmou. Segundo Engel, a principal preocupação antes da abertura era a previsão de fortes chuvas. Apesar da precipitação registrada no sábado e de uma garoa no domingo, o clima acabou causando impactos menores do que o esperado. "A avaliação foi muito positiva. Choveu, mas bem menos do que indicavam as previsões. Isso ajudou para que a feira acontecesse normalmente." A edição de 2026 movimentou aproximadamente R$ 180 milhões em negócios, contra R$ 200 milhões registrados em 2025. O público também apresentou redução, passando de cerca de 80 mil para 70 mil visitantes. De acordo com o organizador, um dos fatores que influenciaram esse resultado foi a grave crise enfrentada pela cadeia da suinocultura.

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The Cybercrime Wire, hosted by Scott Schober, provides boardroom and C-suite executives, CIOs, CSOs, CISOs, IT executives and cybersecurity professionals with a breaking news story we're following. If there's a cyberattack, hack, or data breach you should know about, then we're on it. Listen to the podcast daily and hear it every hour on WCYB. The Cybercrime Wire is brought to you Cybercrime Magazine, Page ONE for Cybersecurity at https://cybercrimemagazine.com. • For more breaking news, visit https://cybercrimewire.com

Do cheiro característico aos íons negativos que libera, a chuva traz benefícios fascinantes para o nosso organismo — especialmente quando se trata do nosso humor.

Do cheiro característico aos íons negativos que libera, a chuva traz benefícios fascinantes para o nosso organismo — especialmente quando se trata do nosso humor.

GARANTA SUA VAGA NO LUCRO 2X COM GRUPO PRIMO + G4ABRA SUA CONTA NA COINBASE E GANHE R$50 APÓS SUA PRIMEIRA COMPRA DE R$1000Já parou para pensar que talvez a humanidade não esteja sozinha no universo?Durante milhares de anos, diferentes civilizações relataram histórias sobre objetos no céu, seres desconhecidos e possíveis encontros com algo que parecia estar além da compreensão humana. Hoje, com documentos oficiais liberados por governos, relatos de pilotos militares e investigações realizadas ao redor do mundo, o fenômeno OVNI voltou ao centro dos debates.Mas afinal, o que existe por trás desses relatos? Como separar fenômenos reais de enganos, fraudes ou interpretações equivocadas? O que os arquivos secretos e documentos desclassificados dos Estados Unidos revelam sobre décadas de investigações? O que casos como Varginha, Operação Prato e a Noite Oficial dos OVNIs realmente mostram?E quando olhamos para o passado: existem relatos na Bíblia e em civilizações antigas que poderiam indicar contatos com fenômenos desconhecidos? Por que tantas culturas diferentes possuem histórias sobre seres vindos dos céus? Estamos diante de mitos, interpretações simbólicas ou evidências de algo ainda não compreendido?Para responder estas e muitas outras perguntas, convidamos Edison Boaventura Júnior, pesquisador e ufólogo com mais de 40 anos de investigação, para o episódio 307 do podcast Os Sócios. Falaremos sobre ufologia, casos históricos brasileiros, arquivos militares, vida extraterrestre, mistérios da humanidade e os maiores enigmas ainda sem resposta.Hosts: Bruno Perini @bruno_perini e Malu Perini @maluperiniConvidados: Edison Boaventura @edisonboaventura

CIOs are accountable for AI results but often not in control of how AI is actually used across the business. Andy Baldwin, Senior Vice President of Consulting Offerings and Growth at IBM Consulting, explains how CIOs regain visibility and control as AI moves from small pilots to industrial scale. He describes the real cost of scaling AI, right-sizing models to cut token cost, governance and observability, cyber and post-quantum risk at the board level, workforce reskilling, and modernizing legacy systems without breaking them.======This episode brought to you by Gartner IT Symposium/Xpo™: https://cxo.news/KGg8XY======YOU'LL DISCOVER ✅ Why two-thirds of CIOs are accountable for AI but not in full control of how it is used ✅ How IBM runs its own AI program (Client 0) and tracks 60 different models on a single observability layer ✅ Why right-sizing models beats defaulting to an expensive frontier model, the Ferrari-to-the-corner-shop problem that drives token cost ✅ How one AI deployment ran to a $25 million compute cost in six months, then was re-architected down to roughly $2 million ✅ Why AI adoption is a contact sport, not a technology you throw over the fence and hope gets used ✅ Why cyber threats and the post-quantum encryption risk have moved up to the board level ✅ How IBM is reskilling 15,000 to 20,000 people whose skills face declining demand ✅ How to modernize legacy by preserving the system of record while reimagining the engagement layer⏱️ TIMESTAMPS 0:00 The CIO accountability gap 3:31 Why AI adoption is a contact sport 9:18 Democratization forces a governance rethink 10:31 The real cost of scaling AI 17:01 Writing controls versus enforcing them 19:32 When AI becomes the business model 29:49 From efficiency to reinventing the business 36:07 Quantum and cyber reach the boardroom 41:33 Soft landing or jobs apocalypse 46:59 Proving control and successful pilots 49:54 Modernizing legacy without breaking it 53:06 Accountability and the CIO's next moveSubscribe for weekly conversations with the business and technology leaders shaping the enterprise. Get the CXOTalk newsletter: https://newsletter.cxotalk.com Show notes, transcript, and summary: https://www.cxotalk.com/episode/ibm-consulting-cios-new-agenda-for-aiEpisode 924#CXOTalk #EnterpriseAI #CIO #AIGovernance #AgenticAI #IBM #DigitalTransformation #AIStrategy #AILeadership

The Cybercrime Wire, hosted by Scott Schober, provides boardroom and C-suite executives, CIOs, CSOs, CISOs, IT executives and cybersecurity professionals with a breaking news story we're following. If there's a cyberattack, hack, or data breach you should know about, then we're on it. Listen to the podcast daily and hear it every hour on WCYB. The Cybercrime Wire is brought to you Cybercrime Magazine, Page ONE for Cybersecurity at https://cybercrimemagazine.com. • For more breaking news, visit https://cybercrimewire.com

Mijający tydzień to nieustające pasmo "sukcesów" PiS i Jarosława Kaczyńskiego - najpierw kłótnia z Przemysławem Czarnkiem o Ukrainę, a potem sygnał do wielkiej czystki wobec ludzi Mateusza Morawieckiego, nie mówiąc już o Pakcie Senackim Prawicy, który ma być ciosem w Prezydenta Nawrockiego, co zauważył Sławomir Mentzen. Dodatkowo, prof. Marcin Matczak zakłada nowy ruch "Radykalne Centrum", które może być nową alternatywą dla ludzi, dla których Donald Tusk się skończył. Zapraszamy na najnowszy odcinek "Dudek o Polityce" z prof. Antonim Dudkiem i red. Arturem Jarząbkiem.Cenisz wartościowe treści? Posłuchaj reportaży z cyklu "POLSKA NA UCHO":https://open.spotify.com/show/6v8kqcoGYsnLNDo0rinw7K?si=a5470f2ef2c64ea8&nd=1&dlsi=0c7bad029db54a76

What happens when your next customer is represented by an AI agent that can research products, compare prices, evaluate suppliers, negotiate terms, and make purchasing decisions? In this episode of Tech Talks Daily, I speak with Ian Kahn, Partner and Customer and Commercial Excellence Platform Leader at PwC, about the rise of the Intelligent Customer Edge and why companies need to rethink how they sell, market, price, serve customers, and compete as artificial intelligence changes the buying process. Much of the enterprise AI conversation has focused on helping employees become more productive. Ian argues that this overlooks a much bigger change already taking place. Customers are using AI to research products, compare alternatives, evaluate pricing, and make decisions. In some consumer and business markets, AI agents are already being given permission to make routine purchases. Companies are no longer selling only to people. They increasingly need to serve customers whose AI agents expect accurate product information, transparent pricing, availability, service history, and performance data that can be discovered, verified, and understood by machines. This creates a serious problem for companies operating with fragmented front offices. Marketing, sales, pricing, commerce, and customer service have traditionally operated as separate functions, each with its own technology, data, processes, incentives, and performance measures. Customers do not experience companies through those internal structures. They expect consistent information and relevant experiences across the entire relationship. Ian explains why adding AI to each department independently will not solve this problem. Companies risk making existing processes faster without improving the customer experience or business performance. Instead, he argues that leaders need to reconsider the operating model behind the entire customer journey. The Intelligent Customer Edge is PwC's approach to bringing these commercial functions together into a connected system centered on the customer. Powered by proprietary company data and AI, the system can continuously learn from customer interactions, support real-time decisions, and help companies respond to changing customer needs. We also discuss the idea of the commercial brain and why proprietary data could become one of the most valuable competitive advantages available to companies adopting AI. Most businesses already possess customer records, transaction histories, operational information, market signals, service interactions, and other data their competitors cannot access. Yet much of that information remains fragmented across systems and departments. Ian explains how connecting these sources can create an intelligence layer that informs pricing decisions, marketing activity, sales opportunities, service interactions, and the moments that matter throughout the customer relationship. For CEOs, chief customer officers, marketing leaders, sales executives, CIOs, and technology teams, the conversation offers an important lesson about AI transformation. The companies achieving meaningful results are not starting with the technology. They begin with customer outcomes and redesign the work, decisions, workflows, and operating models required to achieve them. Human judgment remains an important part of that model. AI can process large amounts of information, identify patterns, provide recommendations, and handle routine tasks consistently. People continue to bring judgment, creativity, empathy, relationship-building, and strategic decision-making to customer interactions where trust and context matter. Ian argues that the goal is not to choose between people and AI. Companies need to design customer systems that use the strengths of both, determining where automation can improve speed and consistency and where people can create greater customer and commercial value. Trust, governance, explainability, and accountability also become more important as AI agents are given greater authority. Rather than treating guardrails as barriers to adoption, Ian explains why companies should design controls into AI-enabled customer processes from the beginning. The conversation also examines the cost of waiting. Customers are already adopting AI, and businesses that continue relying on fragmented front-office operations risk falling behind competitors capable of responding faster, providing better information, and creating more relevant customer experiences. Ian offers practical advice for companies deciding where to begin. Start with the customer journey. Understand how customer behavior is changing, identify where friction exists, determine how AI could improve the experience, and establish clear measures for customer outcomes and business value before investing heavily in new technology. For business and technology leaders under pressure to deliver growth, improve margins, control costs, and demonstrate returns from AI investment, this conversation provides a practical framework for redesigning the front office, using proprietary data more effectively, preparing for AI agents as buyers, and creating better customer experiences. Your customers are already using AI. Some AI agents are already making purchasing decisions. The question for companies is whether their customer systems, data, commercial models, and operating structures are ready to compete for business when the buyer on the other side of the transaction is no longer always human.

Zoom became synonymous with video meetings, but its next chapter is about delivering business outcomes through AI. In this episode of Technovation, Peter High speaks with Gary Sorrentino, Global CIO of Zoom, about the company’s evolution from a video conferencing platform to an enterprise AI platform designed to move organizations “from conversation to completion.” Drawing on nearly five decades in technology leadership, Gary explains why CIOs should prioritize integrated AI platforms over disconnected point solutions, how better data drives better AI outcomes, and why the future of work is about enabling effective collaboration wherever work happens. He also shares his perspective on AI agents, deepfake detection, usage-based AI, and the leadership skills technology executives will need as human and digital workforces increasingly operate together. This episode is presented by Mailtrap — Modern Email Delivery for developer & product teams. Learn more at mailtrap.io

A company with no staff, no payroll, and no traditional org chart — just AI models, subscriptions, and 300 hand-picked consultants!How a business scales with zero employees: AI-powered prospecting, brutal consultant vetting, deliberately thin 33% margins, virtual CIOs delivering 400% ROI, and why vendors are keeping the AI savings their clients deserve.We discussed: ◼ Why a firm deliberately keeps just 33% margin while competitors keep 60% ◼ How interviewing 800 consultants during COVID built a 300-person network ◼ The single interview question that exposes technologists who can't think like executives ◼ Why fractional leadership commonly delivers 400% ROI in the mid-market ◼ The "AI dividend" your suppliers are banking as margin instead of passing to you

The Cybercrime Wire, hosted by Scott Schober, provides boardroom and C-suite executives, CIOs, CSOs, CISOs, IT executives and cybersecurity professionals with a breaking news story we're following. If there's a cyberattack, hack, or data breach you should know about, then we're on it. Listen to the podcast daily and hear it every hour on WCYB. The Cybercrime Wire is brought to you Cybercrime Magazine, Page ONE for Cybersecurity at https://cybercrimemagazine.com. • For more breaking news, visit https://cybercrimewire.com

Today, we are dropping our final episode in our series The AI Control Loop, How enterprises govern the AI they've already deployed - sponsored by our friends at Wallarm.Wallarm is the AI Control Platform for Enterprise AI, protecting every AI workload, API, and application in production, giving CISOs the governance they need and CIOs the speed they demand. Organizations choose Wallarm for a complete inventory of APIs, AI agents, and AI apps, patented AI/ML-based threat detection and blocking that operates at production traffic speeds.In our final episode, we are joined by Shayne Higdon, Wallarm CEO, who closes the series by examining what the accountability moment demands from enterprise leaders, what a mature AI governance model needs to prove rather than promise, and what the next 12 to 24 months look like for organizations that get this right.QuestionsWhy is now the accountability moment for enterprise AI?What has changed between the early days of AI experimentation and today's enterprise AI deployments that makes accountability such a pressing issue?When we talk about AI accountability, what does that actually mean in practical terms? Are we talking about visibility, auditability, enforcement, ownership—or all of the above?As organizations race to deploy AI, how should CIOs balance the speed of transformation with the responsibility to govern it effectively?Why are traditional governance and security models struggling to keep pace with the way AI is being adopted across the enterprise?Given those challenges, how should boards and executive teams evaluate whether their organizations are truly ready to scale AI safely and responsibly?And once an organization believes it's ready, what does a mature AI governance model actually need to prove - not just promise?From an operational standpoint, how do capabilities like discovery, runtime monitoring, and enforcement come together to create a closed-loop approach to AI accountability?Stepping back and looking across this entire conversation, what's the one mindset shift every enterprise leader needs to make when it comes to AI security and accountability?And finally, as listeners think about what's ahead, what should they expect the future of AI security and accountability to look like over the next 6, 12, or even 24 months?Linkshttps://www.wallarm.com/https://www.linkedin.com/in/shaynehigdon/Full AbstractAbstract: Join Shayne Higdon, Wallarm CEO, for this episode, which closes the series by examining what the accountability moment demands from enterprise leaders, what a mature AI governance model needs to prove rather than promise, and what the next 12 to 24 months look like for organizations that get this right.AI deployment is not waiting for governance to catch up. Across most enterprises, the gap between how fast AI is being adopted and how well it is being governed is widening every quarter. CIOs and CISOs are not debating whether to govern AI. They are trying to figure out how, under real organizational pressure, with tools and frameworks that were built for a different threat model.That pressure is coming from every direction at once. Boards want AI transformation to move fast. Regulators want documented evidence that it is under control. Security teams want runtime visibility and enforcement capabilities that most of their current tools do not provide. And the AI systems themselves are not waiting: they are accessing data, calling external services, and making decisions continuously, in ways that after-the-fact governance cannot meaningfully constrain.This is the accountability moment. Not because the risk is new, but because the consequences of undermanaged AI are now concrete enough to land on a board agenda, an audit report, and a regulatory deadline at the same time. What accountability actually requires in practice is the full AI control loop: knowing what AI is running across the enterprise, seeing what it is doing at runtime, enforcing policy before damage compounds, and generating continuous evidence that the governance is real and not retroactive. Organizations that can demonstrate all four are in a fundamentally different position than those still assembling audit evidence from spreadsheets the week before a review.Our Sponsors:* Check out Cash App and use my code CASHAPP10 for a great deal: https://cash.app* Check out Plaud AI and use my code CODESTORY for a great deal: https://plaud.aiAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Why are companies investing heavily in AI, analytics, and data platforms while business leaders still struggle to see what is happening across their operations quickly enough to make confident decisions? In this episode of Tech Talks Daily, I speak with Massimo Merlo, Vice President for UK, Iberia, and Italy at Elastic, about why the next stage of enterprise AI adoption will depend less on who deploys the most advanced models and more on which companies can give people and AI systems access to relevant, trusted, and secure information when decisions need to be made. Massimo describes the problem as a lack of decision-grade visibility. Most large companies are not short of data. They have spent decades building data platforms, analytics systems, dashboards, cloud infrastructure, and reporting tools. Yet information remains fragmented across departments and applications, insights arrive too late, and employees often struggle to find the small amount of information that matters among enormous volumes of data. The result is a growing gap between having information and being able to act on it. Massimo explains why simply adding an AI model to this environment does not solve the underlying problem. If an AI system is connected to fragmented, outdated, poorly governed, or irrelevant information, it can produce convincing answers without providing reliable business outcomes. The quality of an AI model matters, but the context available to that model increasingly determines whether AI becomes a useful business asset or an operational liability. This leads to one of the biggest technology conversations emerging around enterprise AI: context engineering. Massimo explains how context engineering provides AI systems with the relevant data, tools, permissions, organizational knowledge, and guardrails required to complete a task safely. Rather than sending ever-larger volumes of information to AI models, companies need infrastructure capable of retrieving the right information and making it available at the moment a person or software agent needs to act. Fraud detection provides a practical example. An AI agent evaluating a transaction needs more than access to a powerful model. It requires customer history, behavioral patterns, company risk thresholds, permissions, compliance requirements, and the ability to recognize activity that falls outside normal behavior. Without that context, the system could block legitimate customers or approve fraudulent transactions while presenting its decision with complete confidence. We also discuss why digitally mature companies can still struggle with real-time decision-making. Massimo shares lessons from Elastic's work with organizations including Reed, the Met Office, and Rightmove, explaining why having sophisticated technology systems does not automatically make a company context mature. Information can still remain trapped between applications, teams, and databases, preventing employees and AI agents from seeing the complete picture when it matters. The conversation challenges another long-standing enterprise technology habit: adding more dashboards. Massimo explains why dashboards often provide visibility into what has already happened without helping people decide what to do next. Companies can continue adding reporting layers while employees become overwhelmed by information and remain unable to identify the actions that will improve customer experience, productivity, security, or business performance. A healthcare example demonstrates what becomes possible when companies solve this problem. Massimo shares how CogStack at King's College Hospital brought together unstructured patient information during the COVID-19 pandemic and made it searchable using natural language processing. Clinicians could find relevant information without waiting for technical teams to build new queries or systems, helping medical professionals access information when patient decisions needed to be made. For CEOs, CIOs, CTOs, data leaders, and technology teams trying to improve AI ROI, Massimo offers practical advice on where to begin. Do not start with another model, tool, or dashboard. Start with a business decision or workflow that is currently too slow, unreliable, or difficult to execute. Identify what information that decision requires, where the data is stored, who or what system needs access to it, which permissions should apply, and where information currently becomes delayed or disconnected. That process can reveal the visibility gaps preventing companies from turning their existing data and AI investments into measurable results. We also examine why search and retrieval are becoming infrastructure concerns for companies introducing AI agents. As software agents begin making recommendations and taking actions across business systems, their performance will depend on whether they can securely retrieve relevant information at scale. For business and technology leaders facing pressure to demonstrate returns from AI investment, this conversation provides a practical framework for improving enterprise search, context engineering, AI agent reliability, real-time operational visibility, and decision-making. The companies that gain the greatest value from AI may not be those collecting the most data or deploying the most models. They will be the companies capable of finding what matters, understanding its context, and getting trusted information to people and AI systems quickly enough to act on it. That is where better visibility can become better decisions, stronger productivity, and business growth.

Nesta edição do Economia & Negócios, José Inácio Pilar e Patricia Chaccur recebem Marcos Rosset, executivo que comandou a Walt Disney Company no Brasil por 11 anos e construiu uma carreira de mais de quatro décadas na indústria do entretenimento.Ex-CEO da Cinema International Corporation para a América Latina e com passagens pelo Grupo Globo, Rosset analisa como o streaming mudou o mercado audiovisual, explica os desafios enfrentados pelos cinemas, discute o impacto dos algoritmos, das franquias e da TV 3.0 e apresenta seu novo projeto de animação infantil, a Turma do Ovolino.Economia & Negócios, com Patrícia Chaccur e José Inácio Pilar, que traz as novas tendências, tecnologias, e análise de marcas e impactos nos consumidores e empresas!Apoie o jornalismo independente. Assine O Antagonista e Crusoé com 10% via Pix ou Google Pay:  https://assine.oantagonista.com.br/   Siga O Antagonista no X:  https://x.com/o_antagonista   Acompanhe O Antagonista no canal do WhatsApp. Boletins diários, conteúdos exclusivos em vídeo e muito mais.  https://whatsapp.com/channel/0029Va2SurQHLHQbI5yJN344  Inscreva-se no canal, ative as notificações e deixe sua opinião nos comentários!  Leia mais em www.oantagonista.com.br | www.crusoe.com.br #disney #streaming #futurodocinema #futedatv #bobiger #entretenimento #mídia #tecnologia #inovação #cinema #televisão #audiocast #podcastbrasil #tendências #negócios #mercadodeentretenimento #digital #culturapop #bastidores #youtubebrasil

The Cybercrime Wire, hosted by Scott Schober, provides boardroom and C-suite executives, CIOs, CSOs, CISOs, IT executives and cybersecurity professionals with a breaking news story we're following. If there's a cyberattack, hack, or data breach you should know about, then we're on it. Listen to the podcast daily and hear it every hour on WCYB. The Cybercrime Wire is brought to you Cybercrime Magazine, Page ONE for Cybersecurity at https://cybercrimemagazine.com. • For more breaking news, visit https://cybercrimewire.com

**AI for Sales Podcast: Unlocking Customer Expectations and Human Trust with John Hetherington**Join us in this episode as John Hetherington, AI strategist and technology leader from Calgary, shares insights into how AI is transforming customer experience, the importance of human touch, and the future of AI-driven workflows. Discover practical advice on balancing automation with personal interactions and learn about emerging AI tools shaping sales strategies. Main topics include: How AI elevates customer expectations and enhances experiences The role of personal storytelling and individualism in sales success Using AI to streamline processes and identify new opportunities Addressing misconceptions and ethical considerations of AI Balancing automation with human relationship building The future of agentic AI and workflow management tools Developing skills for prompt engineering and AI mastery Timestamps: 00:00 - Welcome & introduction to John Hetherington and AI for Sales 00:29 - John's background: from UK to helping CFOs and CIOs accelerate growth 01:33 - The journey of sales roles from BDR to leadership 02:47 - Impact of AI on customer experience and expectations 03:29 - Raising the bar in customer service through AI 04:23 - Moving beyond information to insights and personalized experiences 05:09 - The importance of personal stories and individualism in sales 05:50 - Success stories and ROI examples of AI in customer engagement 06:33 - How AI saves time but requires strategic application 07:02 - AI's role in collaborative planning and customer empowerment 08:03 - Using AI for rapid research and list-building in government and public sector projects 08:56 - Risks of AI-driven outreach flooding inboxes and maintaining quality 09:47 - Common misconceptions about AI's impact on jobs and tasks 10:06 - The real question: how humans can leverage AI to do better work 11:17 - Repositioning sales and marketing as value sharing, not just selling 12:04 - Balancing personal touch with AI-driven automation 14:25 - Trust building through face-to-face and meaningful interactions 15:55 - Relationship nurturing and long-term engagement 18:23 - Falling in love with the customer's problem rather than the solution 20:40 - Emotional decision-making in high-stakes, personalized sales 21:07 - Emerging AI trends: agentic AI and workflow orchestration 22:55 - Practical first steps: choosing one AI tool and learning it deeply 23:49 - Developing skills in prompt engineering and asking the right questions 24:52 - Treating AI as a new team member: training, supervising, and inspecting 25:38 - Final advice for mastering AI and maintaining human trust Twitter Stay tuned for more insights on integrating AI into sales and customer success strategies! The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth. Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

Confira o curso “Claude para o mercado financeiro” de Leonardo Dawadji, com o Market Makers: https://emprc.us/biVU2o A inteligência artificial está transformando a forma como investidores analisam ativos e como empresas ganham produtividade. Mas, na prática, como usar essas ferramentas sem cair em promessas exageradas ou cometer erros? No novo episódio do Touros e Ursos, Leonardo Dawadji, especialista em IA aplicada ao mercado financeiro, traz dicas sobre o uso e as possibilidades da nova tecnologia para aprimorar a carteira das pessoas físicas. Ele também mostra como empreendedores podem aplicar IA no dia a dia para automatizar tarefas, aumentar a produtividade e equilibrar eficiência com segurança de dados.  E tem mais: no tradicional bloco Touros e Ursos, debatemos Natura, Oncoclínicas, o IPO da Shein e outros temas que movimentaram o mercado. #InteligenciaArtificial #IA #ChatGPT #Claude #Gemini #Investimentos #MercadoFinanceiro #Empreendedorismo

The Cybercrime Wire, hosted by Scott Schober, provides boardroom and C-suite executives, CIOs, CSOs, CISOs, IT executives and cybersecurity professionals with a breaking news story we're following. If there's a cyberattack, hack, or data breach you should know about, then we're on it. Listen to the podcast daily and hear it every hour on WCYB. The Cybercrime Wire is brought to you Cybercrime Magazine, Page ONE for Cybersecurity at https://cybercrimemagazine.com. • For more breaking news, visit https://cybercrimewire.com

Em Chicago, mercado foi pressionado por algum alívio do clima nos EUA, mas ainda atento à demanda da China e avanço do conflito no Oriente Médio.

AI for business leaders doesn't have to be complicated. Learn practical AI and cybersecurity strategies in under three minutes!

SummaryBroward County has 31 cities, 67+ lines of business, and 14 IT managers that CIO Domenic DiLullo has to keep in sync - while a property tax measure heading to the ballot could reshape his entire budget.Glenn Mack just took over as CTO of the North Carolina courts: 100 counties, 105 courthouses, from Murphy to Manteo. He walked in from 17 years in public safety and found the AI policy was… non-existent.And Jon Minshew spent 30 years in North Carolina state government - CIO for the governor's office, and later the state's first Chief Customer Officer - before crossing over to Dell Technologies, where he now advises the same CIOs he used to sit alongside.We put all three on one recording, and the conversation went somewhere most AI conversations never go: the invoice.At one point I said I was hoping market forces would bring AI prices down over time. Dom cut me off mid-sentence: "I disagree. I wholeheartedly disagree." When a county CIO pushes back that hard on air, you listen to why.Welcome to episode 239!Whenever you're ready, there are 3 ways you can connect with TechTables:1.

The Cybercrime Wire, hosted by Scott Schober, provides boardroom and C-suite executives, CIOs, CSOs, CISOs, IT executives and cybersecurity professionals with a breaking news story we're following. If there's a cyberattack, hack, or data breach you should know about, then we're on it. Listen to the podcast daily and hear it every hour on WCYB. The Cybercrime Wire is brought to you Cybercrime Magazine, Page ONE for Cybersecurity at https://cybercrimemagazine.com. • For more breaking news, visit https://cybercrimewire.com

AI isn't just speeding up recruiting; it's actually forcing companies to redesign work itself, blending human judgment with agentic execution across hiring, mobility, and skills development. As a result, most conversations these days are about AI in the enterprise centre on software development and engineering. Recruiting, hiring, and talent management get far less attention, but they may be where AI's impact is most immediate.In a recent episode of Tech Transformed, host Dana Gardner spoke with Meghna Punhani, Chief People Officer at Eightfold AI, about how organisations are rethinking talent acquisition, workforce planning, and employee development in an AI-driven world. Meghna Punhani's perspective is shaped by nearly two decades at Google, a stint leading employee experience at Palo Alto Networks, and her current dual role at Eightfold AI, where she both leads the people function and helps build the product her team relies on. That vantage point gives her a practical, ground-level view of what works and what doesn't when AI meets HR.Reimagining the Talent Lifecycle with AI Punhani's central argument is that most legacy HR systems were designed for a different purpose, one that has evolved as work itself has changed and the workforce now includes AI agents alongside people. Simply bolting automation onto existing processes, she argues, isn't enough. Organisations that are succeeding are the ones re-engineering roles, workflows, and organisational structures from the ground up, treating this as an operating-model shift rather than an IT upgrade.This shift touches the entire talent lifecycle, from how companies find candidates and evaluate skills instead of just job titles to how they support internal mobility. Punhani points out that skills now have a much shorter shelf life than in the past, which means static job descriptions are giving way to dynamic, skills-based decision-making. AI, she says, helps surface pathways for employees that traditional resumes and titles would never reveal, including her own nontraditional route into HR leadership.How AI Is Reshaping Workforce Strategy Trust is the recurring theme throughout the discussion. Punhani is candid that employees often fear AI-driven decisions, especially around jobs and evaluations. Her approach is focused on transparency first. When Eightfold rolled out digital twins internally, employees were uneasy until leadership explained how the technology worked and used it themselves, which helped build organisation-wide confidence.That same principle shows up in Eightfold's own hiring practice. One example is the company's campus recruiting programme in India, where its AI interviewer conducted roughly 90 per cent of interviews. This enabled recruiting to scale from around eight or 10 university partners to more than 150, and from approximately 5,000 applications to 15,000, without pulling engineers away from their day-to-day duties.Time-to-offer dropped from around six weeks to as little as four days in some technical roles, largely because interviews could happen around the clock rather than around a recruiter's or hiring manager's schedule. Beyond recruiting, Eightfold's internal initiative, nicknamed Project Andromeda, applies the same re-engineering approach across sales and finance, reportedly reclaiming thousands of employee hours through redesigned, agent-assisted workflows.AI and the Future of TalentLooking ahead, Punhani doesn't frame AI as a threat to human contribution, but she frames it as an amplifier of it. As tools become more accessible across every function, she believes the people who will succeed won't be the ones who know the most facts, since AI can answer those questions. Instead, it will be the people who ask better questions, orchestrate multiple AI agents, and apply judgment where the right answer isn't obvious.For HR leaders specifically, Punhani's advice is to claim a seat at the table now, rather than letting AI adoption happen without a people-first lens. This means learning the technology firsthand, demonstrating its value to non-technical teams, and partnering closely with CTOs and CIOs to shape decisions jointly. Her advice for individuals entering this shifting job market is similarly grounded: focus on learning agility over any single technical skill, since the skills in demand today may look different within months.Future of AI in Talent ManagementAcross the conversation, Punhani returns to one idea, and that is AI in talent management isn't primarily a technology problem; it's a leadership and trust problem. Organisations that treat it that way, redesigning work with both humans and agents in mind, are the ones seeing measurable gains in speed, candidate experience, and internal mobility.For HR leaders exploring AI adoption, the takeaway from this episode is to start before you feel ready, build trust through transparency, and let AI handle evaluation and execution so people can focus on judgment, empathy, and connecting the dots across the organisation. If you would like to find out more, visit eightfold.ai or connect with Meghna Punhani on LinkedIn.TakeawaysAI's impact on talent acquisition and management.Reengineering work processes with AI.Building trust and transparency in AI systems.Skills-based internal mobility and workforce planning.AI-driven candidate evaluation and employee development.Chapters00:00 Introduction to AI in Talent Management02:59 Understanding AI's Role in Talent Acquisition06:07 AI's Impact on Workforce Planning and Skills Development10:02 Building Trust in AI for Hiring Processes13:04 Internal Use of AI at Eightfold AI18:58 Measuring ROI from AI in Talent Acquisition25:02 Enhancing Candidate Experience with AI29:53 Future Directions for AI in Talent Management

Don’t let the AI wave crush you. Subscribe to our Newsletter: https://theultimatepartner.com/ebook-subscribe/ Check Out UPX: https://theultimatepartner.com/experience/ Dive into the seismic shifts happening within the AWS Marketplace and discover how AI, self-service product-led growth (PLG), and advanced co-selling strategies are redefining partner success. Matt Yanchyshyn, VP of Marketplace at AWS breaks down the recent announcements from the summit, illustrating how agility and adaptation are crucial to surviving the new agentic future. From lowering professional services fees to the explosion of business applications like ServiceNow, this conversation reveals the hidden mechanics of modern cloud procurement and how you can position your organization to capture massive enterprise opportunities before your competitors do. https://youtu.be/gaWxU1kgCLk Key Takeaways Adapting to the new agentic future requires agility rather than fighting the influx of AI tools. Lowering the listing fee for professional services from 2.5% to 0.5% drastically improves partner economics. Organizations without a self-service or PLG motion on the marketplace are literally leaving money on the table. Millennial buyers increasingly initiate complex enterprise procurements through self-service and AI-driven research. New AI-powered opportunity scoring empowers partners to prove their value internally and to AWS. Marketplace success hinges on optimizing metadata for AI agents, not just traditional SEO. If you're ready to lead through change, elevate your business, and achieve extraordinary outcomes through the power of partnership—this is your community. At Ultimate Partner® we want leaders like you to join us in the Ultimate Partner Experience – where transformation begins. Key Tags: AWS Marketplace, agentic workflow, med pick scoring, phoenix.ai, Cara Cloud, branded storefronts, product-led growth strategy, intrinsic value boost, SaaS evolution, self-service motion, Databricks credit model, Trend Micro companion app, MCP servers, opportunity score tracking, PPA drawdown, concurrent agreements, AAMI structural debt, CXML procurement Transcript: Matt Y Audio Podcast [00:00:00] Matt Y: The ability to adapt with change and kind of roll with punches. ’cause a lot of people are saying like, agents are gonna destroy everything. And, and the opposite has been true. [00:00:08] Vince Menzione: You can feel it happening. The ecosystem is shifting beneath us, the way hyperscalers are partnering, how AI is remaking the channel and what it means to win in 2026. [00:00:19] Vince Menzione: Welcome to the Ultimate Partner Podcast. I’m Vince Menzi, own your host. And each week I sit down with leaders at the intersection of technology, partnerships and outcomes. The voices shaping how ecosystems actually work. We talk about what’s real, what’s changing, and what it takes to lead in this era where the partner channel isn’t just part of the strategy. [00:00:42] Vince Menzione: It is the strategy because being in the room changes everything. [00:00:46] Matt Y: Let’s start. [00:00:50] Vince Menzione: And now on to the really important stuff. So, Matt, I don’t wanna butcher it ’cause I, a couple people have told me how to pronounce your last name and they said use the word magician and you’ll get close to it. But I’m just gonna introduce you as Matt Wy and I’m gonna ask you to pronounce your name on stage, but I want to have you join us. [00:01:08] Vince Menzione: So excited to have Matt wy. After a super busy day and night last night, come over from Brooklyn and join us today. Matt, so great to have you. Thanks. Thank you so much. Thank you so much. Alright, so pronounce your name for us. [00:01:23] Matt Y: Anyone wanna guess? Ian’s? It’s like magician. [00:01:27] Vince Menzione: It’s not that hard, [00:01:28] Matt Y: it’s not that [00:01:28] bad, [00:01:28] Vince Menzione: but I don’t wanna butcher. [00:01:29] Vince Menzione: I wanted to let you do it. Good. [00:01:30] Matt Y: What calls me Matt White. [00:01:31] Vince Menzione: That’s great. [00:01:32] Matt Y: Yeah. [00:01:32] Vince Menzione: So 13 years. [00:01:34] Matt Y: Four coming up on 14 next month. Yeah. [00:01:36] Vince Menzione: Wow. Congratulations. Yeah. So you’ve been there, you’ve been there since the early days. And we, we had a conversation. I had some Microsoft, former Microsoft colleagues. Uh, Theresa Carlson, for those of you who knew the public sector business. [00:01:48] Vince Menzione: Yeah. Who started, I mean, Andy came out, it was so funny because I was there and she was hosting Andy for a dinner and with all the CIOs of the federal government. [00:01:57] Matt Y: Yeah. [00:01:58] Vince Menzione: And she was still at Microsoft and it was actually kind of an interesting time. And she came over and did a lot of great things for a number of years. [00:02:04] Matt Y: Yeah. She [00:02:05] Vince Menzione: and a lot of great [00:02:05] Matt Y: business. [00:02:06] Vince Menzione: Yeah. She really like, it went from employee number one to 7,000. [00:02:09] Matt Y: Yeah. [00:02:09] Vince Menzione: And you, you were, you’ve been there all that whole time. Pretty much. [00:02:12] Matt Y: Yeah, I guess when I started in New York, just down the road, we were, uh, in a Regis facility. There were like 11 of us in, uh, just sitting around a table and we had to speak quietly sometimes because there was a, um. [00:02:21] Matt Y: Some type of a financial services organization down the hall and they’d listen to try and get stock tips on Amazon. Yeah, [00:02:28] Vince Menzione: I love it. [00:02:29] Matt Y: Never leaked. That’s [00:02:29] Vince Menzione: good. I love it. [00:02:30] Matt Y: Yeah, [00:02:30] Vince Menzione: you probably got some great stories and, um, we won’t have time for today ’cause I wanna leave some room for conversations on marketplace end questions. [00:02:38] Matt Y: Yeah. [00:02:38] Vince Menzione: But I would love to invite you back for a real, like, in-depth podcast and I would love to get the whole genesis story. [00:02:44] Matt Y: Let’s do it. [00:02:45] Vince Menzione: We’ll do it. Okay, so let’s talk about, let’s talk about yesterday for you. Uh, some, some really big announcements as well. I thought maybe you could recap a little bit of what’s been going on in the marketplace business and it’s an, it’s been an exciting time. [00:02:58] Matt Y: Yeah. Yeah. You know what’s, I think what was really nice yesterday is it was sort of the combination of bringing, uh, our partner services like Partner Central and all those other services together closer to marketplace. We’ve been doing that over, over several years. So Marketplace has some of its own. [00:03:12] Matt Y: Big announcements, like, uh, we have a, we formalized our list and sell initiative. For example. We have a new, so it we essentially reducing the cost, uh, to list on marketplace through a partner program. [00:03:22] Vince Menzione: Yep. [00:03:22] Matt Y: And incentives associated with that. We have a new AI powered listing experience, which I think is particularly important ’cause I think many of you are like me and watching your SEO numbers go down and watching your agent traffic go up. [00:03:33] Matt Y: And so having, uh, an AI assistance in marketplace to optimize your listings for not just to, you know, retain what you can of your SEO, but prepare for the newent future and improve your GEO as we’re calling it. So that, [00:03:45] Vince Menzione: so it’s GEO now? [00:03:46] Matt Y: Yeah. You know, there’s a little debate right now in the acronym Moral A A EO versus GO I’m going, I’m on the G team, so, yeah. [00:03:52] Vince Menzione: Alright. GEO [00:03:54] Matt Y: It’s like the, the, yeah, they’re gonna win. They’re like the Knicks, but the, um, [00:03:57] Vince Menzione: yeah, yeah, exactly. [00:03:57] Matt Y: But yeah, so AI assisted, uh, I mean, making. The most of, like, essentially marketplace is an excellent conversion engine. And so using AI to help improve that conversion engine in the form of your PDPs for both humans and agents. [00:04:08] Matt Y: So that was an exciting launch. Um, I got the most applause when I announced that. We lowered, we made the economics better for, uh, consulting offers professional services, nice to marketplace. We lowered the listing fee from 2.5 to, to 0.5% and wow, it goes even lower in certain circumstances. So just improving the economics. [00:04:24] Matt Y: I’m really excited to. Really partner with a lot of you to reinvent services through, through the marketplace like we did with SAS and other areas. Uh, and we’re doing with agents right now. So that was a big one. And then a whole series of announcements around, um, how we’re making it easier and more cost effective and more efficient to partner with AWS. [00:04:41] Matt Y: So using AI to, uh, using med pick scoring to automatically progress opportunities so you don’t have to kind of wait on a human. To, to click and progress, you know, that that can take days. And, uh, if you, if you wanna have an opportunity and have that be cos sold with AWS, that can be through a mix of agents for the long tail and with humans in the, in the sort of top end and more complex. [00:05:00] Matt Y: And allowing AI to help all the partners improve their opportunity quality so that we can better co-sell together. So. Yeah, I said AI a lot intentionally. Um, [00:05:09] Audience Guest: yeah, [00:05:10] Matt Y: AI sort of in the whole cycle for buyers, for sellers, uh, for operational efficiency, cost of sales. So a lot of announcements. I think I hit the big ones, so yeah. [00:05:18] Matt Y: I’m Might have missed something there. There we go. [00:05:21] Vince Menzione: George. [00:05:21] Matt Y: Oh, and storefront. Yeah. Thanks George. See, I look at George to see what I missed. Uh, we, we acquired a great company called phoenix.ai late last year. Okay. And you, you actually were said Caresoft and Yeah. Be down. Uh, [00:05:30] Vince Menzione: yeah. [00:05:30] Matt Y: So if you’re familiar with Cara Cloud, they have a procurement portal. [00:05:33] Matt Y: It’s heavy use by the US government, and they, um. Uh, we, we acquired them, uh, the really great growth company. They have over 70 logos now, and they help you build a branded storefront on marketplace, which obviously is important in the government space. If you’re procuring on a certain contract with a certain reseller, um, you know, there’s a certain set of products you’re allowed to buy. [00:05:51] Matt Y: But what we’re finding is even down on Wall Street, you hear, um, enterprises are, are using storefronts for internal procurement and they wanna have a curated collection of, of partner products and, and your own ecosystems internally. So we’re selling to both customers. And also to channel partners to build custom storefronts, branded storefronts for, and [00:06:07] Vince Menzione: it makes total sense, right? [00:06:08] Vince Menzione: Yeah, because you wanna li you wanna limit the, the viewing and, uh, and get, because I mean, how many different listings do we have? Like over 30,000? [00:06:16] Matt Y: Yeah. Yeah. There’s, I think the official numbers over th we have over 36,000. I was checking from over 6,000 vendors. Um, it’s a lot. And, and that’s gonna explode with the AI powered, uh, listing, uh, experience that we launched. [00:06:26] Matt Y: We’re gonna make it easier. And I guess what I’ve been telling partners is. You know, customers aren’t clicking through categories anymore. They’re using AI to search. And so it doesn’t matter how big our catalog is, what matters is being found. And what matters is converting that buyer. So if you have a. [00:06:39] Matt Y: If you’re running a demand gen campaign for say, like, you know, life sciences in, in Jersey and there’s a specific buyer at j and j, you wanna capture, that person doesn’t wanna be just dropped onto a generic marketplace, 30,000 listings. They wanna be dropped in a very specific place where they’re seeing like life sciences offers from Accenture, for example, coupled with a life sciences power thing with Elastic, you know, like, but a solution. [00:07:00] Matt Y: And that they want to land in a curated place where that highly intention buyer can be converted effectively. So that, that’s what we’re doing with all this. [00:07:06] Vince Menzione: And that’s where the GEO comes in because [00:07:09] Matt Y: Yeah. ’cause that buyer might be an agent That’s right. With, and that agent has is even more fickle, honestly. [00:07:14] Matt Y: And you know, what used to be milliseconds for the human before they kind of click away is, is now perhaps microseconds. Yeah. And so, uh, you know, having the right metadata and, and the right positioning, uh, the right story that an agent or a human can pick up to ultimately. Uh, complete their product research and choose your product is, is critical. [00:07:30] Vince Menzione: Very cool. Very cool. So before I, I, I’ve been asked to ask you this because I, I’ve had this con, people have brought come to me and said, you gotta ask Matt about music. He’s a big music guy. And, uh, so what are your favorite bands? [00:07:49] Matt Y: So, I mean, the, the real answer is, uh. I, I go to about a show about every week. [00:07:54] Matt Y: As, as Mike Trill knows, uh, we heard a show last night. Um, we were, uh, just a few hours ago, really? And, uh, um, favorite band, uh, well, I’ll tell, I’ll tell a story. I, I had a side hustle with MTV for years. Um, I used to run a music website. Um, oh, that’s cool. I didn’t know that. It got, it got kind of popular. It got sponsored by, if, if anyone’s into like early hip hop. [00:08:16] Matt Y: It got sponsored by a group called Jurassic Five. ’cause he, one of them reached out to me and said, nice. Hey, uh, you know, I’ve been, I like your website. And he ended up paying for a web, hosting a Dream host, if you remember, of cost back then. [00:08:26] Vince Menzione: Oh, Jesus. [00:08:26] Matt Y: Because I was broke and couldn’t afford it. And then, uh, and then this band sent me like a, a single and said, Hey, you know, trying to get the word out about our little band, can you help us out? [00:08:35] Matt Y: And I put their, uh, I put their, you know, single up on my, on my website and it blew up. And that band is Vampire Weekend. So they’re kind of big now. Wow. Yeah. Um, and uh, that got picked up by like Vanity Fair and all these other guys. And then I got sponsored by MTV to essentially write. Music reviews for years on the side. [00:08:51] Matt Y: So I was working for the Associated Press, laying cable in sports and war and, and, uh, yeah. So Vampire Weekend was good to me that, that they, they kind of paved a way to go to a lot of free shows over the years and a lot of bands and see a lot of great music. But yeah. [00:09:03] Vince Menzione: That is very cool. And that, and how did that get your day? [00:09:05] Vince Menzione: WS It was just a, it was just the technology path that was like, [00:09:09] Matt Y: I mean, it’s a, it’s a, I guess it’s a bit of a long story, but, um, the. There’s many versions of this story. I’ll tell the, tell the one quickly. I was living for free in a Fulbright scholarship house in West Africa. You, we can talk about how that happened another time. [00:09:23] Matt Y: And, uh, a guy had sort of fallen down on the floor ’cause he’d had too much to drink. And I, I sort of lay down beside and be like, Hey man, are you all right? And, um, he, uh. He worked, he, he worked for the Associated Press and next day I had the job, um, being West Africa, head of technology for West Africa. [00:09:37] Matt Y: And because of that, um, and as I learned years later, the AP didn’t have dr they had no disaster recovery. Yeah. And I, I can tell you that now ’cause um, you know, 16 years since I worked there, but they, uh, I put the DR in, um, on AWS and we’re talking like, yeah, 16, 17 years ago. This is early. It was early days. [00:09:56] Matt Y: And I, I swear to God, I paid for. Uh, our AWS bill using, um, taxi receipts, fake taxi receipts that I bought in on Nigerian market, um, because there was no budget and so, you know, it was like 30 bucks. [00:10:08] Vince Menzione: I was gonna say swipe a credit card, but they didn’t [00:10:09] Matt Y: knew that this is the entire press this before. [00:10:11] Vince Menzione: This is before, yeah. [00:10:12] Matt Y: Yeah, like the entire ap. Um, and, uh, so AWS called me like, who are you? Like, why, why are you paying on like this like low limit credit card for like the ap? Like, who are you? And, uh. Next day I had the job. Well, a week later I had the job with aw WS. That so cool. So that’s the story’s [00:10:29] Vince Menzione: cool thing. [00:10:29] Matt Y: Yeah. [00:10:30] Vince Menzione: Very cool. [00:10:31] Vince Menzione: Uh, sports teams. So Knicks fan. [00:10:34] Matt Y: Yeah, I mean, I like the Knicks. Um, they’re h hockey, I’m not allowed to say anything different. No. I appreciate them. Uh, I’m a Raptors fan. I grew up in Toronto mostly. Yeah, yeah. Uh, so, and you know, when they won, uh, that was very exciting as well. So no, Nicks are great. I like the Knicks. [00:10:49] Matt Y: Nothing against the Knicks. Um. They’re fine. Yeah. [00:10:54] Vince Menzione: Hockey, hockey fan. Favorite hockey teams? [00:10:56] Matt Y: Oh yeah. Itron. Maple leaf. Maple leaf. Yeah. They’re gonna, they’re gonna win. Of course. Of course. Yeah. Um, like every year they’re actually, we [00:11:02] Vince Menzione: have some Canadians laughing in the sand. [00:11:03] Matt Y: Well, the leaf are, are, are the Knicks of hockey? [00:11:05] Matt Y: Like Yes, they are. You know, it’s 67 years out, coming up on 68 since they won, so That’s crazy. 53 is nothing. I know. Pain. So. Yeah, definitely the least. Yeah. [00:11:15] Vince Menzione: I love it. I love it. It’s so cool. Yeah. So what was the, uh, what was the, what was the last concert you went to? [00:11:22] Matt Y: Well, literally last night. Oh, it was last, [00:11:23] Vince Menzione: oh, that [00:11:24] Matt Y: was actually concert were my favorite bar in the world. [00:11:26] Matt Y: This place called Sunny’s. Uh, it’s, you know, I, I took Mike and, and Matt from, from Texas and from TGS down there to sort of see my neighborhood and they’re like, where are we? And I’m like, yeah, I live here. Uh, sort of an industrial part of Brooklyn. And, and we went to see, um, I dunno what you would call it, like. [00:11:40] Matt Y: I guess it’d be like roots music. There was a woman with an accordion and a guy with a big cowboy hat. Yeah, it was, it was fun. Yeah. [00:11:47] Vince Menzione: That is so funny. Alright, we’re gonna shift back years. Um, important time right now for partners. What, what should partners be looking out for the most? What would you say to them in terms of what’s the, what’s their real headline for them? [00:11:59] Matt Y: Well, I, I, you know, to borrow from you actually, you know, I liked, uh, the, the principles you had up there and, and with agility, um, you know, there’s a lot of fud flying around right now. You know, people. People were like, oh, it’s the demise of sis with the arrival of ai, you know, everyone’s gonna be using agents. [00:12:13] Matt Y: And then it turns out it’s been a huge boon for most, uh, you know, system integrators and consulting companies that I work with. They all have, you know, the, the good ones especially have vibrant consulting practices now, and everyone is deploying fds, uh, you know, um, the new, the new cool acronym. But it’s, it’s essentially created a huge opportunity for the consulting space. [00:12:31] Matt Y: Uh, and similarly, uh, you know, there there’s this narrative around the sa sa apocalypse, which I really hate, you know, ’cause it was, uh, premature and kind of a trigger reaction from the stock market. And, you know, just look, look what Snowflake did. And, you know, they did what a lot of SaaS companies are doing, but they, they added a nice sort of glaze of positioning and, and, you know, their stock popped and they did pretty well. [00:12:50] Matt Y: And so I think the ability to adapt with change and kind of roll with the punches. ’cause a lot of people are saying like, agents are gonna destroy everything. And, and the opposite has been true. For the more successful consulting companies and software companies who have become agentic. But SaaS hasn’t gone away, you know? [00:13:05] Matt Y: No. Look at our own marketplace. We have this agent marketplace, but people aren’t buying atomic agents at scale. They’re buying ified SaaS solutions with sort of agent sidecars, which has created new opportunities for candidly additional licenses, [00:13:16] Vince Menzione: right? [00:13:16] Matt Y: Um, as customers sort of want to consume more AI services on top of their. [00:13:20] Matt Y: On top of their SaaS solutions. So I think being agile, you know, you see like ServiceNow as part of our billionaires club. Yes. They’re not going anywhere. They’re, yeah. They’re gentrifying. You know, Salesforce has pivoted to this headless model, um, along with Asian Force and using sort of Slack as the operating system. [00:13:34] Matt Y: And, you know, you said like a lot of companies from the seventies aren’t around anymore. They’re gonna be winners and losers. Yeah. Um, but the winners are gonna win even more. And so I, I think what’s so important right now for partners is to not, not bite too hard at the, the latest trend. You know, models are changing and everyone’s like, oh, you know, philanthropics really in the world and they’re wonderful, great to work with, amazing technology. [00:13:55] Matt Y: That’s what people are saying about open AI six months ago. That’s right. And before that, you know, and it, I, I was with Fireworks AI yesterday, a great company and they have some really cool stuff with sort of, um, they believe in more cost effective, uh, open source models essentially, that you can find tune. [00:14:08] Matt Y: Maybe that’s gonna win. I don’t know. Um, is it gonna be sort of domain specific models? Is it gonna be highly capable LLMs? Are LLMs gonna level off as soon as Fable and Mythos are allowed to launch? Maybe. I, I don’t think anyone can predict the future right now. So you have to be agile and you have to kind of seize the opportunities and take a couple punches. [00:14:25] Vince Menzione: Yeah. [00:14:26] Matt Y: You know, and marketplace too, like we’re, you have to be unafraid to experiment right now. Um, you know, that’s hard if your stock’s taking a beating. Um, but this is, it’s a, it is a disruptive time, uh, but it’s creating actually enormous opportunities for growth for partners and, and we really see that, you know, in marketplace specifically within AWS. [00:14:45] Vince Menzione: It, it, it does still feel like the deer in the headlights moment. Right. Would you agree? Like you’re probably taking a lot of meetings and, and calls from ISVs specifically? [00:14:54] Matt Y: Well, [00:14:54] Vince Menzione: that are still trying to figure it out. [00:14:56] Matt Y: Yeah. But it’s everyone. Yeah. I think what’s really interesting, I had a meeting [00:14:58] Vince Menzione: with, it’s not just one. [00:14:59] Matt Y: Yeah. I, well, I had a meeting with one of the leading AI companies, like one of the biggest ones. And they, uh, they demonstrated how they work and they were really proud. They were like, you know, look at our agentic workflow. And I came out at me. I’m like, that’s it. Ours is way better. Like really like, you know, ’cause we we’re, we’re using quick desktop with MCP servers and connectors and all this, and you know, we, we have our own sort of ecosystem of partners, a mix of homegrown software and third party. [00:15:20] Matt Y: And I kinda walked out there and, and looked at, you know, my phone, which has been populated by agents this morning with all the, and I was like, I have a way better agent workflow than this world’s leading supposedly AI company. And I think, um, that really, so during, I, I would, during the headlights, you can call it deer in the headlights, I call it chaos. [00:15:36] Matt Y: And in times of chaos there are people who create. Opportunity again. And so, yeah, there are some people who are stuck and who don’t know what to do, who are over worried about token costs, um, who are not experimenting. But there are a lot of companies, uh, taking this opportunity to kind of pivot their business. [00:15:53] Matt Y: Um, I think, I think we’re in a moment and, uh, yeah, I, I candidly I see more of the latter. I see more experimenting. [00:15:59] Vince Menzione: You mentioned ServiceNow. Any other great examples of that? Organizations that really embraced it? [00:16:04] Matt Y: Uh, yeah. Well, you know, ServiceNow is part of this business applications category, as we call it, in marketplace. [00:16:09] Matt Y: That outside of AI, I think is the fastest growing category in marketplace, which is wild when you think about it. ’cause we’ve historically been an infrastructure partner marketplace with security and data and analytics and, you know, security with channel partners, et cetera. But Salesforce, ServiceNow, Workday, Adobe, you know, I could go on. [00:16:23] Matt Y: They, they are actually. You know, our fastest growing category and yeah, ServiceNow, obviously reinventing itself for ai, Salesforce, but Workday, you know, the workday’s done some, who knows if it’s gonna work, but they, they’re experimenting with essentially like a Databricks, uh, credit style model for like, units of work, uh, which I think is fascinating. [00:16:41] Matt Y: Like everyone’s talking about value-based, outcome-based pricing and meter. And, and you have companies that are ERP companies, you know, like traditional business applications, experimenting with effectively like a metered pay as you go, value based credit model. Again, like who knows if it’s gonna work. [00:16:54] Matt Y: But I think that’s really amazing to see and we need more ISVs experimenting. I, I was talking about trend ai and I know they’re, they’re, they’re one of the sponsors yesterday. You know, many of you know them as Trend Micro back in the day. They’ve successfully reinvented themselves. They built that companion app. [00:17:10] Matt Y: Um, you know, that I think we’re seeing. Just a ton of experimentation in the market across categories. Uh, I could go on and on about partners. Um, yeah, there, I I wouldn’t pick a winner right now. Yeah. [00:17:24] Vince Menzione: You, you, we’ve talked about ai. We’ve talked, talk more about the buying journey and how that’s changing, because again, it feels, it feels like that’s also [00:17:33] Matt Y: Yeah. [00:17:33] Matt Y: So, you know, one of, one of the core, uh, strategic objectives, or we’ll say like the philosophy marketplace is that. Um, financial incentives are important, you know, EDP or PPA drawdown, uh, credits. Like we need to act as an efficient and effective vehicle for allowing buyers to exercise their discounts for, and, and sort of partners to exercise their credits, et cetera. [00:17:55] Matt Y: That, that’s actually important. But what, what a lot of people over rotate on that, and we’re really, one of the things we say a lot inside at Amazon or at AWS marketplace is we want to continue to boost the intrinsic value of marketplace beyond the financial incentives. And well over a quarter of all private offers, private pricing, private, uh, custom terms, et cetera. [00:18:14] Matt Y: Um, begin with a self-service or PLG motion. And partners who don’t have a PLG or self-service motion are literally leaving money on the table. Like if you look at like a Databricks for example, and they did a good job integrating buy with a WS within their SaaS application. They have free trials, they have really strong pego and, and, uh, and PLG motion. [00:18:33] Matt Y: They’re making, I can’t share their numbers obviously, but they’re making a ton of money. On purely self-service motions. And importantly, they’re acquiring new business, new logos that they nurture, you know, really like not just leads but closed opportunities, right? That they lead, they’re growing, uh, at a reasonable conversion rate or or success rate into the next big logos. [00:18:50] Matt Y: And these are over multi-year horizons. They’re patient, you know, they bring in these new logos with PLG, and they’re also bringing banking, a lot of large enterprises. Through self-service. I, I was with data Mask. There’s this great little startup from New Zealand. They’re a New Zealand based company. Um, super nice guy. [00:19:06] Matt Y: And, and, uh, they, they got huge logos. I think they got, what was it? A DP and some huge American logos. Okay. And this like logo in, I think it was Chile, or no, it was Peru. They’ve never been to Peru. They don’t have sales in Peru. Um, and they. Buyers were discovering them self-service and they, they, I think they got something like 13 logos entirely through a self-service motion. [00:19:26] Matt Y: One password will tell you the same thing. I was just with them in Toronto and companies big and small startups and the largest are getting enterprise wins in addition to net new small logos through that PLG. Buyer motion. And that’s because you have a whole generation of CFOs, CTOs, CROs, whatever. The C is [00:19:43] Vince Menzione: millennial [00:19:43] Matt Y: who grew up on their phones. [00:19:45] Vince Menzione: Yeah. [00:19:45] Matt Y: And, and it sounds like, you know, hyperbole, but it’s true. They, they want immediate apps, immediate access. And that actually, you’re like, oh, that never translates to business applications. Turns out it does. It does. And they might not be buying on their phone, but what they are doing is researching and we see the numbers, the amount of customers who are doing their research, and then eventually landing on the page from chat, GPT. [00:20:06] Matt Y: From major financial, like Fortune 500 companies is extremely high. Yeah. Uh, you have procurement team, sourcing team, uh, developers who are starting the research increasingly, like in clawed in chat, GPT, and then, you know, building a proposal and then handing it to their enterprise procurement team. Yeah. [00:20:22] Matt Y: Which is still largely unchanged. So buyer behavior is on the front end, on the research side is really changing. So the [00:20:29] Vince Menzione: discovery is happening through PLG. [00:20:32] Matt Y: Yeah. [00:20:32] Vince Menzione: And then the backend work on private offers and things like that sometimes still happens the old way. [00:20:36] Matt Y: Yeah. Well, and so, you know, it’s [00:20:37] Vince Menzione: fax machine, [00:20:38] Matt Y: some people Yeah, sure. [00:20:39] Matt Y: They’re bringing the deal directly to Marketplace last minute. But even if that deal goes direct, sometimes they’re still beginning their research journey and increasingly using Marketplace as a research vehicle, which is why we launched Agent Mode, um, to help you sort of help you and agents do research. [00:20:51] Matt Y: But that I think if, if I have one piece of device for any partner consulting or ISV is. Don’t leave those leads and that money on the table by not having a PLG self-service strategy like you’re fooling yourself. Uh, and it’s, it’s a huge, it’s a huge, huge business for us. The, the majority of all customers by far on marketplace don’t even have a PPA, uh, and a huge percentage of even those with PPA spend beyond the p. [00:21:17] Matt Y: And so if you’re just think if you’re just using marketplaces as like BPA retirement, you are literally losing money. [00:21:22] Vince Menzione: Yeah. [00:21:22] Matt Y: Yeah. [00:21:23] Vince Menzione: We have a session with Vinod. We’re gonna talk a little bit about that right after. Great. So good. Um, so I, yeah, I think, um. We talked about, we talked about agents, we’ve talked about the millennial buyer, the change in buying behavior. [00:21:40] Vince Menzione: What other, what other areas of aspect I, I, I, I do wanna think about like opening it up though for a second. I think that maybe with maybe nine minutes left. Sure. I just want to get a read from the people in the room. People have questions for Matt that we weren’t able to ask them. Yeah, I think, I think we probably have a few of those. [00:21:57] Vince Menzione: I think that would probably be great. [00:21:58] Matt Y: I can sense the hardball coming. [00:22:00] Vince Menzione: You’ve known each other [00:22:00] Matt Y: a long time. [00:22:01] Vince Menzione: Yeah. No, no. Hardball. We have a mic back here. Okay. I’ll just, we’ll, we’ll, we’ll get you a mic as we are recording. So good. Thank you. [00:22:11] Audience Guest: Uh, Boris Geller with a, a Click PLG is near and dear to my heart. [00:22:17] Audience Guest: We’ve been doing a lot of business in marketplace and I’m still struggling to sell my vision internally on, on, uh, on PLG. Uh, I think. Ag Agent AI is gonna be one of the drivers, and we are already on, uh, agent Marketplace, but I would appreciate guidance on, uh, best practices. How do we kind of, uh, operationalize it? [00:22:41] Audience Guest: It’s, it’s on us, not on you. [00:22:43] Matt Y: Well, no, I think it’s on both of us. You know, we, uh. One thing that we’re trying to do is give you more data to, to sell to your internal stakeholders in your executive suite. The value of co-sell with AWS all up, like finally with what we launched at, uh, the summit yesterday, you now get an opportunity score. [00:23:02] Matt Y: You, you get a number. People have been asking for this for years, so, so you can say when we do this and we, when we give AWS this information. The score goes up and we have a higher propensity to be cos sold by humans or agents before you had to kind of, it was like this mystery you had to guess. And similarly with marketplace, um, we, we have new dashboards that you can use to sort of, you used to have to sit down with us and go through spreadsheets to trace sort of lead to trace the funnel to sort of a close opportunity. [00:23:28] Matt Y: And we’re gonna continue to launch more there. But you now have more data that you can show. You can be like, listen, these are our inbound leads, this how’s converting, and now we have PRM, the partner revenue measurement where we can say like, this is what it’s translating into in terms of. AWS service revenue driven by our product. [00:23:41] Matt Y: And so that being able to tie from that inbound lead from your demand gen campaign through to a converted opportunity to what you actually drive from an AWS impact perspective, so you can, and then what your opportunity score is that data you can use to sell. Not only internally, but to us as well. Yeah, to a skeptical sales team or whatever who’s not maybe, you know, hype on partners in the, in the US West. [00:24:03] Matt Y: You can be like, listen, I don’t care what you think about my business. This is what I’m gonna drive for you with your quarter retirement from an AWS perspective, and this is how the shape of your customer accounts are gonna change. And this is why you should pay attention to my opportunities. ’cause my opportunity score is, is crazy high and I’m giving you insights into business that AWS would not otherwise have. [00:24:19] Vince Menzione: That’s your brand story we’re talking about. [00:24:21] Matt Y: Yeah. [00:24:22] Vince Menzione: Building your story up with within [00:24:25] Matt Y: So it’s, it’s about the data, I guess. And, and you should, you know, you should all actually be [00:24:28] Vince Menzione: Yeah. [00:24:29] Matt Y: Asking me for more data, so, you know, and tell me like, what do you need to sell to your internal stakeholders? ’cause if I can draw a clear line. [00:24:35] Matt Y: From your demand chain campaign that lands on a marketplace, which I know is a conversion machine, it has way better than industry levels of, of conversion rates. And then you can show, hey, if we have a PLG strategy and we land those leads on marketplace, we will convert them with high efficiency, low cost of sales and, and, and have sort of a bifurcated where we can close some through self service, some through express private offers and some through private offers, depending on deal size. [00:24:57] Matt Y: Like you tell A CFO that, and they’re my number one customer now and they love it ’cause they see cost of sales going down, cost of operations going down and business going up. Um, so I think we have more data than we used to use that data. And let me know what other data do you need to make that pitch and make that pitch to the CFO go around the head of sales, all those other people. [00:25:15] Matt Y: Honestly, the CFO is where we get the best leverage. [00:25:18] Vince Menzione: Awesome. Great question. [00:25:23] Matt Y: Gonna bring your mic. [00:25:23] Vince Menzione: We’re, we’re gonna get your mic here. There you go. Oh, [00:25:25] Audience Guest: thank you. So my name’s Jody Cheval and I’m a consultant now, but I was at Workday during when they adopted AWS and it, a sales organization needs propensity to buy data. [00:25:34] Audience Guest: To really drive the sales team to realize the opportunity kind of makes them visualize it. We didn’t struggle, but it was challenging to get that data because at that time we’re getting spreadsheets. So does AWS have a vision of making that API based data that our client, my clients, can get at and bring into a tool to start building account hypothesis based on that data? [00:25:57] Audience Guest: ’cause it really is important to an enterprise sales guy to have the sense that OAWS can help me close this deal. [00:26:03] Matt Y: Yeah. I mean. Part of that. So we, we launched, we’ve been launching part of that in stages and we’re not done. There’s, there’s more coming. Um, part of that is embedded really within the new, uh, partner agent workflows. [00:26:13] Matt Y: We are giving sort of more, uh, information back to you, not just about like what funding programs you’re eligible for, but like, you know, and when, when we will co-sell this deal with you, which is effectively a signal like we, we see this as a high value opportunity, that you have a likelihood of winning internally. [00:26:28] Matt Y: We, we have this solution matching engine that we’re using and we announced. That, that that ties you the partner to a customer specific opportunity that you have a high propensity or the partner has a high propensity to assist with and ultimately win. And now we’ve tied that to our express private offers, which we announced this week. [00:26:44] Matt Y: So it’s an indirect answer to what you’re asking, but a rep can essentially say. Send a private priced offer to the customer on behalf of the partner without having to ring up the partner because they have a high propensity to win this deal with the customer. So we’re progressively launching features like that. [00:26:59] Matt Y: In addition to the propensity to buy data that we do now share. It used to be kind of, again, manual magic depending on who you knew we could share. Now we do share that programmatically, and there’s more to come specifically in that space. Uh, I’d say watch that space. In the next few months, there’s gonna be more data coming away, but we do have the APIs, we have the agent. [00:27:16] Matt Y: We have things like express private office solution matching, and we have been sort of in that space progressively launching features over the last six to 12 months. And, and you should expect to see some more there soon, not just from us or from our partners. [00:27:27] Vince Menzione: Nice. Any announcement dates? [00:27:30] Matt Y: I can’t commit to a date or else my engineers will get mad at me. [00:27:33] Vince Menzione: It looks like we Another question number. Is the mic still back there? Okay. There’s a gentleman over here [00:27:40] Audience Guest: first Go leaves. Um, it’s awesome. I’m right next to. I was right next. [00:27:46] Vince Menzione: We’ve got a lot of great plants here, so, [00:27:49] Audience Guest: um, so this may be a little bit myopic or, or a challenge that we run into, but I love a lot of the innovation that’s looking forward and all the future things that we’re doing. [00:28:00] Audience Guest: One of the things that we’re struggling with is a little bit of almost like tech or structural debt. How do you think about bringing flexibility to the core pieces that underpin all of the innovation, which is. We are self-hosted. So one of our listings is an a MI. You can’t amend an a MI, you have to cancel and start over. [00:28:18] Audience Guest: So a lot of the building blocks, when you think about PLG, if somebody wants to add to that in an a MI listing, it’s, it’s sort of broken. So how are you thinking about taking all of the, the rapidly changing buyer behavior and then looking back at the structural foundation that underpins all of those things, like offers and, and amendments and changes and all of that? [00:28:39] Matt Y: Yeah. I, I promise I didn’t seed that question, but that, that’s a great one. Um, so not to get too in the weeds, but fundamentally, marketplace was built up, um, a bit like AWS like a set, a series of services somewhat independently. And each product type was effectively its own service, SaaS, server images, ais. [00:28:59] Matt Y: Um, what we’ve done recently is now we, we have, we got rid of product types basically on the backend. You, you don’t see it, but what that means, for example, like another thing AAMIs don’t support today, future data agreements. Um, or concurrent agreements, uh, they will all be supported by amis before the end of the year. [00:29:14] Matt Y: ’cause what we’re doing, this fundamental thing that you won’t even see called product offer decoupling. Uh, and it’s a fundamental piece of things that we need to unwind. ’cause we built up, we were moving very quickly over the years. We had a distributed engineering model and we built each product type independently. [00:29:28] Matt Y: And so yeah, if you’re a seller and you’re selling containers, agents, SaaS, amies, um, we’re breaking down the silos between those so that each of them will get the same benefits. And, and by the way, we’re taking the same approach to international. Hopefully you’ve noticed now that. It’s not like a feature launches in the US only and then takes five years to launch in either public sector or another country. [00:29:48] Matt Y: We, we’ve taken a global approach to feature launch and increasingly a product type neutral approach to feature launches. Uh, that’ll be largely resolved before the year’s out. We’re working on it right now. So again, it’s, it should be transparent to you, like you shouldn’t actually see any difference in the, in the experience. [00:30:05] Matt Y: Except that all of those features will be available. So, so that is, uh, actively under work. And that’s actually something if you’d like to try, um, you’re, you’re welcome to. So, yeah, [00:30:17] Vince Menzione: we have time for maybe one more question and we we’re actually gonna have you up here with a couple partners. [00:30:24] Matt Y: Sounds [00:30:24] Vince Menzione: good. Kind of fun. [00:30:32] Audience Guest: Hey, Matt, uh, met Natasha from Dondo. Uh, quick. So great announcements. And you know, you talked about the million, multi-billion dollar, uh, club, and, uh, that’s all great. Uh, in terms of the. Propensity data. I think that’s coming at the center of a lot of things, right? You know, for enterprises, oh, there’s an investment and you tap into that investment. [00:30:53] Audience Guest: But also there’s the other side of the procurement where a lot of customers, sometimes we work with, they’re like, they still wanna go direct for whatever reason, right? So I think there’s an education piece there, but also trying to understand like how we can work together to, you know, get some of that side of the things sorted out as well. [00:31:11] Audience Guest: You know? ’cause a lot of times it’s not about. Just, you know, retiring the, uh, the, the spend comets, but also like, Hey, I’m used, I’m already used that for something else. So maybe that’s not an, uh, something that applies here. And in also in tying that the PLG motion, uh, you know, for the customers you said, you talked about, you know, if there is. [00:31:34] Audience Guest: Leads on the TA table, like where the, it’s not the enterprise, but you know, the others. Um, I feel like it’s more to do, changing the business model at some times. Like with the enterprises, you have the revenue stream coming through, say large deals, right? And all of a sudden you tap into this, you know, PayGo. [00:31:51] Audience Guest: Where it flips the whole equation with, you know, the financing and the, and the, and the revenue measurement. So I think there’s two aspects of how do you kind of cons reconcile those things in terms of, you know, the revenue measurements going forward. [00:32:05] Matt Y: Yeah. So, so two things real quick on the procurement. [00:32:07] Matt Y: Um, yeah, like, yeah, I sort of alluded to this earlier, but, uh. Procurement is a bit late to the AI ag agentic transformation. They’re trying, and there’s a lot of great new incumbents in this space. And the big leaders like, you know, Coupa and Ariba and Oracle are, are, are evolving their products, albeit a bit slowly. [00:32:26] Matt Y: Um, but the, I think, uh, it’s still the long pole in the tent. You know this. And so like, there are two reasons why deals tend to go direct, because it kind of hits a wall of. Legal, uh, you know, procurement, governance, like all that kind of after the selection’s been made, et cetera, or, or they’re, you know, we can’t change. [00:32:44] Matt Y: People are gonna optimize for, for finance, you know, they’re, they’re going to, if they’re getting big discounts. I mean, that is life. I always say it’s like sellers at the most agented company are still gonna chase quota no matter how, you know, crazy. Uh, your, your company is, and it’s the same with, um, with the chief, uh, financial officer and chief procurement officer. [00:33:01] Matt Y: They are going to, they’re literally. Paid to find discounts. And so we’re not, we’re not gonna get rid of financial engineering. That’s a, that’s a thing. What we can do is reduce the friction for procurement. So we launched, for example, like mandatory purchase orders. That was a big thing. We, we have buyer notifications, now we’re making other procure to pay enhancements. [00:33:17] Matt Y: I mean, procurement systems still use like CXML. It’s like, that was, that was cool when I worked for the ap. And like I, I have teenagers that are old, like older than, so they, I, I think, um. Procurement needs to evolve and we’re gonna help it evolve. We’re gonna push it forward and, and we need to make it more seamless for procurement teams so that we remove those objections. [00:33:38] Matt Y: Uh, I can’t remove the financial engineering objection, like, you know, that’s just life. Um, but I can make it irresponsible not to use marketplace ’cause it’s so easy to use. And, uh, that, that’s kind of the approach we’re taking on, on the front end. Uh, you, you know, I think you, you, again, I didn’t see this question. [00:33:52] Matt Y: You, you stepped into a trap. Un unwittingly, um, PLG is not just is for enterprise. And, and PLG doesn’t necessarily mean pego or self-service. Uh, doesn’t necessarily like, uh, most of our self-service efforts are actually focused on private offers. And not necessarily for pego. Uh, when, when I say self-service and, and PLG, uh, it, it can mean all kinds of things like it. [00:34:14] Matt Y: We have requested private offer, requested demo call to actions, buttons that you can put on your listing. For example, you don’t necessarily need a free trial or a metered pay as you go listing to take advantage of those inbound self-service leads. So, and those inbound self-service leads are often massive enterprise deals, like I mentioned specifically, uh, the data mask. [00:34:31] Matt Y: Those giant enterprise deals that they launched came from an enterprise like Fortune 1000 Enterprise in the US that organically discovered their solution on the marketplace using our AI search. And that was a massive enterprise. And so I, I think yes, there is the long tail, you wanna capture a new logo acquisition, but you should think of your product like growth in your self-service strategy as a way to, um, acquire all kinds of leads, including large enterprise. [00:34:54] Matt Y: And so when I say leave money on the table, I’m not just talking about things that are gonna mature over two years or tiny little deals. These could be massive deals. Uh, and, and you’ll accelerate those deals by accelerating their discovery and, and research so that I think that, so, and my advice is don’t, you don’t have to go all in if you don’t have, if you don’t have metering, if you don’t have PayGo, that’s cool. [00:35:13] Matt Y: Start with something simple. Start with a public listing, with a request to private offer like that. That is a, a huge step. That doesn’t take much, and, and it kind of blows my mind still that a lot of companies aren’t doing that yet. [00:35:25] Vince Menzione: Great answer. Well, it’s now time we’re gonna bring, we’re gonna bring, it’s time. [00:35:29] Vince Menzione: We, we’ve got some great partners coming up here, Nvidia Elastic, Accenture gonna all join us for a conversation. Great. And I’m glad that you’re gonna stay with us. And let’s, let’s, well, let’s thank Matt, by the way, for that session. [00:35:41] Matt Y: Thanks. [00:35:42] Vince Menzione: And [00:35:42] Matt Y: thanks for listening to the Ultimate [00:35:44] Vince Menzione: Partner Podcast. If today’s conversation resonated, share it with a partner leader in your network. [00:35:51] Vince Menzione: Subscribe where you listen. And head over to the ultimate partner.com. For show notes related content and the resources for this episode. And if you haven’t already, now’s the time to register for the Ultimate Partner Live Event in Reston, Virginia, October 26th through October 28th. Until next time, keep showing up in the rooms that matter because being in the room changes everything.

The Cybercrime Wire, hosted by Scott Schober, provides boardroom and C-suite executives, CIOs, CSOs, CISOs, IT executives and cybersecurity professionals with a breaking news story we're following. If there's a cyberattack, hack, or data breach you should know about, then we're on it. Listen to the podcast daily and hear it every hour on WCYB. The Cybercrime Wire is brought to you Cybercrime Magazine, Page ONE for Cybersecurity at https://cybercrimemagazine.com. • For more breaking news, visit https://cybercrimewire.com

The Cybercrime Wire, hosted by Scott Schober, provides boardroom and C-suite executives, CIOs, CSOs, CISOs, IT executives and cybersecurity professionals with a breaking news story we're following. If there's a cyberattack, hack, or data breach you should know about, then we're on it. Listen to the podcast daily and hear it every hour on WCYB. The Cybercrime Wire is brought to you Cybercrime Magazine, Page ONE for Cybersecurity at https://cybercrimemagazine.com. • For more breaking news, visit https://cybercrimewire.com

GARANTA SUA VAGA NO LUCRO 2X COM GRUPO PRIMO + G4Vivemos na época com mais liberdade, conforto, tecnologia e acesso à informação da história. Ainda assim, nunca se falou tanto em ansiedade, solidão, falta de propósito e crise de identidade. O que aconteceu?Por que tantas pessoas sentem que estão perdidas? Estamos vivendo uma crise de sentido? Perdemos referências como família, comunidade, religião e tradição? As redes sociais mudaram a forma como construímos nossa identidade? E o que explicam mudanças tão marcantes como a queda da natalidade, os casamentos cada vez mais tardios, o aumento de jovens morando com os pais e a dificuldade de assumir responsabilidades da vida adulta?Essas transformações são apenas características das novas gerações ou representam uma mudança profunda na forma como vivemos, nos relacionamos e enxergamos o mundo?Para responder a essas e outras perguntas, convidamos Guilherme Freire para o episódio 306 do podcast Os Sócios.Uma conversa sobre filosofia, propósito, tecnologia, família, cultura e os desafios de construir uma vida com direção em uma sociedade que parece ter perdido suas bússolas.Ele será transmitido nesta quinta-feira (09/07), às 12h, no canal Os Sócios Podcast.Hosts: Bruno Perini @bruno_perini e Malu Perini @maluperiniConvidado: Guilherme Freire @guilhermefclfreire

The Cybercrime Wire, hosted by Scott Schober, provides boardroom and C-suite executives, CIOs, CSOs, CISOs, IT executives and cybersecurity professionals with a breaking news story we're following. If there's a cyberattack, hack, or data breach you should know about, then we're on it. Listen to the podcast daily and hear it every hour on WCYB. The Cybercrime Wire is brought to you Cybercrime Magazine, Page ONE for Cybersecurity at https://cybercrimemagazine.com. • For more breaking news, visit https://cybercrimewire.com

Today, we are dropping another episode in our series The AI Control Loop, How enterprises govern the AI they've already deployed - sponsored by our friends at Wallarm.Wallarm is the AI Control Platform for Enterprise AI, protecting every AI workload, API, and application in production, giving CISOs the governance they need and CIOs the speed they demand. Organizations choose Wallarm for a complete inventory of APIs, AI agents, and AI apps, patented AI/ML-based threat detection and blocking that operates at production traffic speeds.In today's episode, Craig Thomas, Sr. Solutions Engineer at Wallarm, returns to the show to dive into why runtime behavior is the critical blind spot, and what CISOs should demand if they want to move from policy to control.QuestionsSecurity teams are used to detecting incidents and responding after the fact. Why is that model becoming insufficient for AI-driven systems?Building on that, when we talk about response today, enforcement often means actions like restarting pods, rotating credentials, or shutting down services. Why can those measures come too late in an AI environment?So if traditional response isn't enough, why does AI behavior require controls that operate much closer to runtime?And when people hear "runtime enforcement," they may think of existing security controls. What changes when enforcement happens at the kernel level rather than only at the network, identity, or application layer?Can you make that tangible for us? What does it actually mean to revoke or contain a compromised AI session without disrupting the broader deployment?How does that kind of real-time containment change the risk equation for AI agents that have access to sensitive data, external services, or production workflows?With that in mind, what are some examples of AI behaviors that organizations should be able to stop immediately?Of course, security teams also don't want to become a bottleneck. How do organizations balance strong enforcement with the need to keep AI development and deployment moving quickly?And once organizations have the ability to discover, observe, and enforce AI behavior in real time, how does that change accountability at the enterprise level? What does good governance look like from there?Linkshttps://www.wallarm.com/https://www.linkedin.com/in/cu-craigthomas/Full AbstractThis episode examines what is actually missing in AI security today. Craig Thomas, Sr. Solutions Engineer at Wallarm, dives into why runtime behavior is the critical blind spot, and what CISOs should demand if they want to move from policy to control.CIOs and CISOs have moved past debating whether AI security matters. The question now is what to actually do about it, and most organizations are finding that their existing tools answer a different question than the one AI is asking.Traditional security tools were built around access: who can reach a system, what credentials they present, what traffic looks like at the perimeter. AI shifts the problem to execution: what a system does once it has access, whether that behavior matches what the business intended, and how you know when it doesn't. Most current tooling has no answer for that. It can tell you what is deployed and what is configured. It cannot tell you what your AI is actually doing at runtime, on whose behalf, or whether any of it violates the policies you thought were in place.That gap is where most AI security programs stall. There is no shortage of governance frameworks, compliance checklists, and vendor claims. What is missing is operational control: the ability to see AI behavior as it happens, enforce policy at runtime, and produce evidence that holds up when an auditor or a board asks for it. The four capabilities that define a closed AI control loop, discover, observe, enforce, govern, are well understood as a category. Getting all four working together in production is where the real work begins.Our Sponsors:* Check out Cash App and use my code CASHAPP10 for a great deal: https://cash.app* Check out Plaud AI and use my code CODESTORY for a great deal: https://plaud.aiAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

The latest generation of AI models has collapsed the time from vulnerability discovery to weaponized exploit from weeks to minutes, and reactive, module-based tools built around static dashboards simply can't keep up. In this episode, Tanium COO Matt Quinn joins Business Security Weekly to discuss Tanium Atlas, the new autonomous operating system for IT and security. Matt explains why "good enough" operations are now a liability, how Atlas turns a single operator into the equivalent of an entire team, giving organizations the speed, scale, and efficiency to match the pace of today's threat environment. He also breaks down why nearly two decades of real-time endpoint telemetry across more than 36 million endpoints is the foundation no AI model can replicate on its own. This segment is sponsored by Tanium. Visit https://securityweekly.com/tanium to learn more about them! In the leadership and communications segment, CEOs, CIOs clash over AI's value, Aspiring Leaders, Don't Just Network Up, Your Talent Strategy Has to Keep Up with Your AI Transformation, and more! Visit https://www.securityweekly.com/bsw for all the latest episodes! Show Notes: https://securityweekly.com/bsw-455

Greg Barbaccia is stepping down as federal CIO and leaving government at the end of August, he said in an email to the CIO Council Tuesday. “I'm writing to share that I've made the difficult decision to leave government, and my time as Federal CIO is coming to an end,” Barbaccia wrote to CIOs on the council in his email, obtained by FedScoop. Barbaccia, who joined the Trump administration as its top IT official in January 2025, said his last day in the role will be Aug. 31. Barbaccia's departure comes just months after he brought on former Department of Education CIO Thomas Flagg to be his deputy. Flagg would be the default acting official with Barbaccia's departure, a government chief information officer told FedScoop on the condition of anonymity to be more candid. As federal CIO, Barbaccia has also served as the federal chief AI officer of the U.S. government, playing a pivotal role in shaping AI policy, oversight and adoption across federal agencies. The Defense Innovation Unit is undergoing a major reorganization effort that will overhaul and collapse its operational portfolios from seven to three technology priorities “where speed, scale, and lethality intersect,” two sources told DefenseScoop on Monday. One senior defense official and one defense official familiar with this realignment said the Pentagon would likely reveal DIU's near-term plans and new internal structure publicly this week. The officials requested anonymity to speak freely ahead of the Defense Department's official, forthcoming announcement. But they suggested that this shake-up and reset is intended to concentrate DIU's experts and resources on a smaller, more focused set of real-world problem areas so the hub can deliver outcome-driven, reportable combat power to the U.S. military at faster and less expensive rates. DIU's recently installed director under the second Trump administration, Owen West, initiated the reorg. The three new portfolios and priority topics that the unit will be structured around, according to the two officials, are drones and autonomous warfare, kill webs, and "10x" technologies. 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.

Nesta edição do Economia & Negócios, José Inácio Pilar e Patricia Chaccur recebem Danielle Bibas, uma executiva com mais de 25 anos de experiência em cargos de liderança no Brasil e no exterior e CEO do grupo francês Pierre Fabre, laboratório detentor das marcas Avène, Darrow e Ducray.Na entrevista, ela fala sobre o mercado de skincare no Brasil e no mundo e explica quais são os desafios do mercado e os fatores que levam uma marca a conquistar espaço em um segmento tão competitivo. Temas abordados: mudanças no mercado de skincare⁠comportamento do consumidor trajetória da Pierre Fabre diferenças de consumo do Brasil o caminho até a cadeira de CEO o peso dos influenciadores digitais a importância da credibilidade da marca Economia & Negócios, com Patrícia Chaccur e José Inácio Pilar, que traz as novas tendências, tecnologias, e análise de marcas e impactos nos consumidores e empresas!Apoie o jornalismo independente. Assine O Antagonista e Crusoé com 10% via Pix ou Google Pay:  https://assine.oantagonista.com.br/   Siga O Antagonista no X:  https://x.com/o_antagonista   Acompanhe O Antagonista no canal do WhatsApp. Boletins diários, conteúdos exclusivos em vídeo e muito mais.  https://whatsapp.com/channel/0029Va2SurQHLHQbI5yJN344  Inscreva-se no canal, ative as notificações e deixe sua opinião nos comentários!  Leia mais em www.oantagonista.com.br | www.crusoe.com.br #skincare #marketing #estetica #beleza #cosmeticos #tendencias #internet #youtube #podcast #audio #audiencia #engajamento #midia #conteudo #plataformas #influenciadores #rotina #pele #negocios #inovacao

The Cybercrime Wire, hosted by Scott Schober, provides boardroom and C-suite executives, CIOs, CSOs, CISOs, IT executives and cybersecurity professionals with a breaking news story we're following. If there's a cyberattack, hack, or data breach you should know about, then we're on it. Listen to the podcast daily and hear it every hour on WCYB. The Cybercrime Wire is brought to you Cybercrime Magazine, Page ONE for Cybersecurity at https://cybercrimemagazine.com. • For more breaking news, visit https://cybercrimewire.com

The latest generation of AI models has collapsed the time from vulnerability discovery to weaponized exploit from weeks to minutes, and reactive, module-based tools built around static dashboards simply can't keep up. In this episode, Tanium COO Matt Quinn joins Business Security Weekly to discuss Tanium Atlas, the new autonomous operating system for IT and security. Matt explains why "good enough" operations are now a liability, how Atlas turns a single operator into the equivalent of an entire team, giving organizations the speed, scale, and efficiency to match the pace of today's threat environment. He also breaks down why nearly two decades of real-time endpoint telemetry across more than 36 million endpoints is the foundation no AI model can replicate on its own. This segment is sponsored by Tanium. Visit https://securityweekly.com/tanium to learn more about them! In the leadership and communications segment, CEOs, CIOs clash over AI's value, Aspiring Leaders, Don't Just Network Up, Your Talent Strategy Has to Keep Up with Your AI Transformation, and more! Show Notes: https://securityweekly.com/bsw-455

The latest generation of AI models has collapsed the time from vulnerability discovery to weaponized exploit from weeks to minutes, and reactive, module-based tools built around static dashboards simply can't keep up. In this episode, Tanium COO Matt Quinn joins Business Security Weekly to discuss Tanium Atlas, the new autonomous operating system for IT and security. Matt explains why "good enough" operations are now a liability, how Atlas turns a single operator into the equivalent of an entire team, giving organizations the speed, scale, and efficiency to match the pace of today's threat environment. He also breaks down why nearly two decades of real-time endpoint telemetry across more than 36 million endpoints is the foundation no AI model can replicate on its own. This segment is sponsored by Tanium. Visit https://securityweekly.com/tanium to learn more about them! In the leadership and communications segment, CEOs, CIOs clash over AI's value, Aspiring Leaders, Don't Just Network Up, Your Talent Strategy Has to Keep Up with Your AI Transformation, and more! Visit https://www.securityweekly.com/bsw for all the latest episodes! Show Notes: https://securityweekly.com/bsw-455

The Cybercrime Wire, hosted by Scott Schober, provides boardroom and C-suite executives, CIOs, CSOs, CISOs, IT executives and cybersecurity professionals with a breaking news story we're following. If there's a cyberattack, hack, or data breach you should know about, then we're on it. Listen to the podcast daily and hear it every hour on WCYB. The Cybercrime Wire is brought to you Cybercrime Magazine, Page ONE for Cybersecurity at https://cybercrimemagazine.com. • For more breaking news, visit https://cybercrimewire.com

The Cybercrime Wire, hosted by Scott Schober, provides boardroom and C-suite executives, CIOs, CSOs, CISOs, IT executives and cybersecurity professionals with a breaking news story we're following. If there's a cyberattack, hack, or data breach you should know about, then we're on it. Listen to the podcast daily and hear it every hour on WCYB. The Cybercrime Wire is brought to you Cybercrime Magazine, Page ONE for Cybersecurity at https://cybercrimemagazine.com. • For more breaking news, visit https://cybercrimewire.com

FAÇA SUA INSCRIÇÃO PARA A LIVE GRUPO PRIMO + G4CONHEÇA OS PRODUTOS DA CAFFEINE ARMY - KOALAVocê sabe o que a neurociência recomenda para dormir melhor?

Today, we are dropping another episode in our series The AI Control Loop, How enterprises govern the AI they've already deployed - sponsored by our friends at Wallarm.Wallarm is the AI Control Platform for Enterprise AI, protecting every AI workload, API, and application in production, giving CISOs the governance they need and CIOs the speed they demand. Organizations choose Wallarm for a complete inventory of APIs, AI agents, and AI apps, patented AI/ML-based threat detection and blocking that operates at production traffic speeds.In his follow up appearance on the Code Story podcast, Tim Ebbers, Field CTO at Wallarm, discusses why detection alone is insufficient for AI-driven systems, what real enforcement looks like at the runtime level, and what accountability becomes possible once all four stages are in place.QuestionsSecurity teams are used to detecting incidents and responding after the fact. Why is that model insufficient for AI-driven systems?What does “enforcement” usually mean today, and why can actions like restarting pods or rotating credentials come too late?Why does AI behavior require controls that operate closer to runtime?What changes when enforcement happens at the kernel level rather than only at the network, identity, or application layer?Can you explain what it means to revoke or contain a compromised AI session without touching the broader deployment?How does real-time blocking change the risk equation for AI agents that access sensitive data, external services, or production workflows?What kinds of AI behaviors should organizations be able to stop immediately?How do teams balance strong enforcement with the need to avoid slowing down AI development and deployment? Once organizations can discover, observe, and enforce AI behavior, what does accountability look like at the enterprise level?Linkshttps://www.wallarm.com/https://www.linkedin.com/in/tebbers/Full AbstractTim Ebbers, Field CTO at Wallarm, discusses why detection alone is insufficient for AI-driven systems, what real enforcement looks like at the runtime level, and what accountability becomes possible once all four stages are in place.Detection tells you what happened. It does not stop it. For most security incidents, that tradeoff is manageable. For AI systems that can access sensitive data, call external services, and trigger downstream actions at machine speed, the gap between detection and response is where the damage happens.The enforcement model most security teams operate today was built for a slower threat. Restarting pods, rotating credentials, and updating policies are all responses to something that has already occurred. Against an AI agent that can exfiltrate data, invoke a production workflow, or violate a compliance boundary in the time it takes to page an on-call engineer, that response model is not enforcement. It's cleanup.Closing that gap requires controls that operate at the layer where AI behavior actually executes, not at the perimeter, not at the identity layer, not at the application boundary. Kernel-level enforcement changes what is possible: a compromised session can be revoked by user identity or trace ID, connections can be terminated at the workload level, and enforcement can happen without a pod restart, a deploy cycle, or any impact to the broader environment. That is what it means to complete the AI control loop. Discover what is running, observe what it is doing, enforce what it should not be doing, and govern with evidence that the enforcement worked. Organizations that can only do the first two are solving half the problem.Our Sponsors:* Check out Cash App and use my code CASHAPP10 for a great deal: https://cash.app* Check out Plaud AI and use my code CODESTORY for a great deal: https://plaud.aiAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

The dominant structural shift outlined is a transfer of liability and accountability for AI-generated errors from vendors to the entities deploying these systems—primarily MSPs and their clients. While vendors aggressively promote scalable AI tools and urge rapid adoption, the legal and operational burden of verifying and standing behind AI output falls on deployers, not on the tool providers. Recent court rulings and shifting buyer expectations are accelerating this transfer, fundamentally altering the MSP business model around AI services. Primary evidence for this shift comes from both industry behavior and legal precedent. Kaseya urged MSPs to quickly embrace AI services while revealing that only about 13% of providers are seeing significant revenue from AI, despite roughly half of clients requesting these solutions. Compounding the structural gap is a low conversion rate from proof-of-concept to production (only 20% success, per Kaseya), and high failure rates in AI-generated code—Forbes reported security and logic errors appear far more frequently in machine-produced output than in human code. Notably, courts in Germany and Canada have ruled that organizations are legally responsible for the statements and errors created by their AI, not the vendors providing the underlying tools. Supporting developments reinforce the risk and accountability mismatch. Research cited from Gartner indicates over 70% of CEOs and 75% of CIOs believe current IT operating models are unfit for the demands of the AI era, highlighting a recognized governance gap. Consumer surveys show that over half hold company leadership personally responsible for AI failures. The recurring vendor emphasis on selling tools, combined with product features that prioritize scale over individualized accountability, deepens the structural challenge for service providers. For MSPs and IT service organizations, the primary practical implication is that competitive differentiation and risk mitigation will depend less on which AI products are resold and more on documented processes for reviewing, annotating, and standing behind AI-generated output. Vendors' tools are pervasive and quickly commoditized, so market separation arises from the ability to provide tangible accountability standards—proof of human review, defined sign-off authority, and clear records for client audits and legal defense. Pricing strategies that reflect the cost of accountability, rather than simply product markup, are likely to become more sustainable as client focus shifts from features to liability management in AI adoption. 00:00 The 13% Problem  03:29 The Tool vs. The Work 05:43 The Wrong Answer's New Address 08:37 Why Do We Care?  Supported by:  CometBackup TimeZest   

Many health tech and med tech companies don't struggle because of weak products, they struggle because buyers don't clearly see or trust their value. In this episode, Saul Marquez of Outcomes Rocket, who has interviewed nearly 2,000 healthcare leaders, shows growth-stage companies how to turn complex offerings into clear positioning, real pipeline, and measurable revenue in the healthcare market. In this episode of Marketer of the Day, Saul breaks down his Discover–Define–Deliver framework for healthcare marketing strategy. Instead of jumping straight into tactics, cold email, conferences, content, LinkedIn, PR, he shows why most teams need a fast but disciplined “discovery sprint” to map the landscape, clarify positioning, and understand the real decision-makers and early adopters in their space. Saul explains how one week of focused discovery can save months of wasted execution and move you into the top tier of companies that actually have a documented marketing strategy (only 28% of med tech companies do). Saul also shares a powerful case study of a client with a truly innovative “smart hospital” platform that the market didn't know how to categorize. By doing voice-of-customer research, segmenting early vs. late adopters, and building a targeted list of the right CIOs and clinical leaders, Saul's team helped them stand out as the smart hospital player. Through a combination of focused podcasting, thought leadership, PR partnerships, and a smart hospital maturity model, the company went from “bumping their head against the wall” to being acquired by a major medical device organization. The conversation then dives into podcasting as a B2B growth engine in healthcare. Saul outlines three types of podcasters and explains why most B2B companies are in the “business owner” camp, not media companies chasing downloads. He reframes podcasts as a way to create contacts and contracts, not vanity metrics. Using his content flywheel, a single episode becomes SEO content, social posts, sales enablement snippets, PR assets, and opportunities for pod swaps and deeper relationships with buyers and partners. Downloads are vanity; strategically leveraged conversations are where the real ROI is. https://youtu.be/6F0aamX1bgo?si=KgMDfiuUCkpzAZEi Throughout the episode, Saul returns to a central theme: strategy over shiny objects. With marketers bombarded by new channels, tools, and “can't-miss” offers, the real advantage comes from knowing what to avoid and staying anchored to a clear, evidence-based strategy. He calls out “sleepy opportunities” most teams ignore, like repurposing PR into sales messaging, which only 6.1% of organizations do, and shows how focusing on these overlooked levers can create a serious competitive advantage. If you're in health tech or med tech and feel like you have a great product but inconsistent growth, this episode will give you a practical roadmap to build trust, clarify your message, and turn strategy into revenue with Saul's Discover–Define–Deliver approach. Quotes: “Strategy precedes tactics. If you don't do the strategy work, your chances of success decrease significantly, and you're leaving your business to chance.” “If you don't enjoy a marketing channel, you won't stay with it. Consistency is key, so do the things you're actually going to stick with.” “The most important thing you can do in your marketing is avoid the things that don't get you to the end goal as fast as possible.” Contact Details: Explore Saul Marquez's Official Website Healthcare Marketing Built on Insight. Powered by Strategy. Proven by Outcomes. Connect with Saul Marquez on LinkedIn Listen to the Latest Episode of Outcomes Rocket Podcast