RECENT EPISODES
Thu 6 AugThe data decisions that make AI deliverEllery Fisher of McKesson Medical Surgical, a company carrying roughly 200 years of legacy technology, explains why AI delivery is inseparable from systems modernization, using McKesson's price cube of nearly two trillion prices running on a 24-hour batch cycle as a concrete illustration of how legacy infrastructure blocks real-time automation.Tue 14 JulWhat it takes to build an AI-ready workforceA KPMG study of roughly 100,000 conversations and 1.4 million prompts from about 2,500 employees found that despite achieving around 90 percent AI adoption, only approximately 5 percent were using AI in a genuinely value-creating way. Anthropic's Kristin Swanson described a parallel AI Fluency Index built on a 4D framework covering delegation, description, discernment, and diligence, and despite differences in scale, both studies reached the same conclusions.Mon 8 JunHow agents will rewire enterprise workKPMG became the first Big Four firm to embed Anthropic's Claude into its global Digital Gateway platform, and the partnership also designates KPMG as a preferred consultant for private equity firms deploying Claude to compress development cycles. The conversation examines how agentic AI will rewire enterprise work within roughly a quarter, distinguishing genuine process reinvention, such as cross-system agents spanning GPS data, procurement contracts, and vendor risk monitoring, from simple automation.Wed 27 MayWhy enterprise AI still feels so hardEnterprise AI spending is accelerating in 2025, yet May Habib argues tools like Copilot and ChatGPT Enterprise are failing to deliver real ROI, a problem she frames as an autonomy gap between what AI can technically do and what organizations actually extract from it. Rassan Shears characterizes the situation as an overload rather than a stall, with enterprises overwhelmed by options and unable to refactor processes rather than simply doing old work with new tools.Thu 30 AprThe digital teammate era has arrivedThe discussion highlights the emergence of AI as a vital digital teammate in organizations, transforming workflows through dynamic automation and decision-making. It underscores the importance of trust in AI adoption, with successful implementations seen in customer support and HR, despite skepticism from tech leaders. Additionally, organizations are encouraged to reimagine roles and strategies to effectively integrate AI, prioritizing training and collaboration while avoiding dependency on these agents to enhance productivity and employee engagement.Mon 27 AprWhy the agentic era is already hitting resource wallsThe discussion highlights the rising use of AI agents in enterprises, revealing challenges related to resource constraints and token management, suggesting a growing urgency in addressing sustainability. Key insights include the need for companies to optimize investments in agent technology amidst limited compute resources, while also addressing consumption-related issues that could impact workforce reliance. Additionally, the call for a multi-model approach and better resource monitoring underscores the disparities between companies in leveraging AI effectively, hinting at potential future measures like token taxes.Tue 31 MarThe AI reckoningThe episode discusses the "AI reckoning," highlighting the rapid advancements in AI and the significant gap between these capabilities and organizational adoption, with a critical focus on 2026 as a pivotal year. Trust in AI systems and the necessity for robust governance are emphasized, alongside the innovators' dilemma faced by enterprises. The conversation also touches on the transformative potential of AI in business processes, underscoring the urgent need for companies to embrace these technologies and invest in workforce adaptation.Wed, 23 Jul 2025AI strategy: Aligning culture, leadership, and measurement for successful AI adoptionThe discussion emphasizes the importance of a comprehensive AI strategy aligned with organizational culture and leadership for successful adoption. Key insights include the need for clear long-term planning that considers the broader implications of AI on business models and customer engagement. Additionally, fostering an agile mindset and effective change management processes, while addressing employee concerns and upskilling, is essential in navigating the complexities of AI integration within organizations.Tue, 22 Jul 2025Data readiness: The backbone of AI successData readiness is essential for AI success, requiring high-quality data and collaboration between stakeholders to ensure effective data management. The rise of Generative AI (GenAI) enhances user interaction with data, making it critical to modernize data practices and maintain governance. Organizations face challenges in aligning AI strategies and addressing cultural gaps, but improving data practices and fostering collaboration can unlock innovation and maximize AI value while leveraging blockchain's capabilities for data integrity and security.Mon, 21 Jul 2025AI agents in actionThe podcast "You Can with AI" discusses the transformative potential of AI agents in enhancing operational workflows beyond mere efficiency. It outlines a four-part journey in AI development encompassing data management, generative AI, knowledge systems, and autonomous agent technology. The conversation emphasizes the importance of safety, trustworthiness, and a centralized organizational structure for effective agent deployment, while also highlighting a shift towards practical applications in various sectors, such as software development and finance, driven by recent advancements in agent communication and functionality.Fri, 18 Jul 2025AI ecosystems as a catalyst for enterprise transformationThe discussion highlights AI as a transformative catalyst for enterprise model innovation, necessitating a re-evaluation of partnerships and data management. Companies are transitioning from traditional AI providers to specialized stacks, emphasizing the integration of AI with SaaS solutions to enhance sector-specific applications. The importance of ecosystem dynamics is underlined, stressing the need for trust and strategic partnerships as organizations navigate evolving challenges in an AI-driven landscape.Thu, 17 Jul 2025Trust and governance: Navigating AI ethics and communicationThe podcast highlights the importance of trust and governance in AI ethics, emphasizing the need for organizations to develop tailored frameworks that align with evolving regulations. It discusses the operationalization of AI, focusing on risk management and the differentiation between internal and external use cases. Additionally, it addresses the role of education and upskilling in fostering responsible AI use, advocating for governance as an enabler of innovation rather than a limitation, particularly in the context of generative AI.Wed, 16 Jul 2025AI's impact on industry evolutionThe discussion centers on AI's transformative role across industries, emphasizing its potential to drive efficiency and innovation. Executives are prioritizing AI investment for competitive advantage, particularly in sectors like life sciences and banking, where automation and tailored solutions can enhance operations. Additionally, the conversation highlights the necessity for organizational culture shifts to fully harness AI’s value while navigating economic uncertainties and maintaining ethical standards in technology adoption.Tue, 15 Jul 2025The AI-ready organization of the future: Predictions and insightsThe notes highlight three key topics: First, the transformative potential of AI agents is redefining organizational structures, requiring a shift to an AI-first mindset for operational redesign. Second, successful integration of AI necessitates strategic choices in technology ecosystems, change management, and workforce training to mitigate disruption. Lastly, the evolution of collaboration from AI as assistants to coworkers underscores the need for a hybrid approach, balancing AI efficiency with human interaction in customer service contexts.