In this AWS Leadership Summit segment, AWS CEO, Matt Garman, joins theCUBE’s John Furrier in Seattle for a halftime check-in on 2025. Garman explains how generative AI is “turbocharging what’s possible,” driving new agentic services, a relentless silicon roadmap and rapid region growth. He outlines why fewer than 20 percent of global workloads have moved to the cloud, yet enterprise urgency has never been higher, with data-first strategies and Bedrock-powered AI pushing companies to modernize faster than ever.

The conversation drills into cost, scale and customer ROI. Garman details demand-driven CapEx, Trainium-optimized model training and the Strands SDK that sprang from internal experiments to open-source success. He highlights fresh tailwinds from startups that sell straight to the enterprise, industries like healthcare and life sciences that are suddenly AI-ready and Europe’s upcoming fully self-contained Sovereign Cloud. Inside Amazon, every role is changing as teams embrace agentic workflows for coding, recruiting and fulfillment, proving the company’s “learn and be curious” culture is still its innovation engine.

In this AWS Mid‑Year Leadership Summit interview, Colleen Aubrey, senior vice president of Applied AI Solutions at AWS, sits down with theCUBE’s John Furrier to unpack how agentic AI is reshaping enterprise workflows. Aubrey explains why the next generation of AWS Connect, released in March with AI native capabilities across voice and digital channels, creates a launchpad for “knowledge operations” that extend well beyond the contact center. She outlines how usage‑based pricing lets businesses weigh AI labor side by side with human agents, giving leaders a clearer lens on value and quality.

The conversation spans moonshot projects in retail, healthcare and life sciences, all fueled by AWS infrastructure, Bedrock foundation models and close collaboration with teams like Amazon Health Services. Aubrey details her group’s mission to prototype quickly, embrace two‑way doors and build a “family of agentic applications” that help customers manage hybrid workforces without the clutter of twenty‑five browser tabs. From ambient note‑taking in One Medical to planning and decisioning tools that rethink back‑office toil, Aubrey shows how AWS is turning applied AI into everyday business muscle.

In this AWS Mid-Year Leadership Summit segment, Mai-Lan Tomsen Bukovec, vice president of technology, data and analytics at AWS, joins theCUBE’s John Furrier in Seattle for a Halftime Report on where S3, S3 Tables and metadata services are steering the cloud giant’s data strategy. Tomsen Bukovec explains why “every AI application is now a data application” and how Iceberg-powered S3 Tables are giving customers a zero-migration path to agent-ready data lakes. She also unpacks her expanded remit, which unites Redshift, Athena, file services and streaming to make analytics on any data type “effortless and price performant.”

The conversation dives into the rise of AI data agents, the criticality of a strong data perimeter and the next wave of metadata-driven workloads. Tomsen Bukovec shares a real-world example from StarHub, where an AI agent already taps structured and unstructured data in production, plus highlights how QuickSight Q, Bedrock and SageMaker integrate with S3 to accelerate GenAI adoption without re-architecting. She teases what to expect at re:Invent, hinting at features that will make S3 a “native place for AI data” while preserving the economics, durability and availability that defined its first two decades.

In this AWS Leadership Summit segment, Julia White, VP of Worldwide Marketing at AWS, joins theCUBE’s John Furrier for a wide-ranging discussion on how AWS is using generative AI to transform marketing, scale customer engagement and support its global brand presence. White shares exclusive insight into AWS’s internal AI adoption, revealing how the marketing team is experimenting with agentic workflows, microtargeted campaigns and next-gen content generation to meet the expanding demands of a diverse global customer base.

The conversation also touches on how AWS is blending trusted brand storytelling with data-driven demand generation, leveraging real-time analytics from tools like QuickSight and rethinking the Martech stack to support dynamic personalization at scale. White discusses the rise of trust-based peer networks, the evolution of digital-physical brand experiences through sports partnerships with the NFL and F1, and the startup ecosystem’s growing influence on AWS product development and GTM strategy.

As AWS gears up for re:Invent, White outlines the gritty, behind-the-scenes work powering AWS’s global campaigns, the evolving role of AI agents in outreach, and why she believes AWS’s operational scale is its true marketing superpower.

In this AWS Mid-Year Leadership Summit segment, theCUBE’s John Furrier sits down with Cohesity CEO, Sanjay Poonen, for a fast-paced halftime check on cloud, AI and cyber resilience. Poonen traces Cohesity’s rise after uniting with Veritas, citing 13 000 customers, 85 percent of the Fortune 100 and hundreds of exabytes of data secured across hybrid environments.

Digging into the “five S” pillars – speed, scale, security, simplicity and smarts – Poonen explains how FortKnox cyber vault on AWS delivers air-gapped recovery while opening protected datasets to Bedrock and Amazon Q. He outlines joint go-to-market plays that link Cohesity, AWS and partners such as NVIDIA so enterprises can tap agentic AI without sacrificing zero-trust posture.

The interview also explores culture and execution: pizza-size engineering teams, five-why questioning and AWS Marketplace momentum that is propelling Cohesity toward a 5 billion dollar vision. Viewers will hear real-world examples of hospitals, banks and retailers using a single pane of glass to cut risk, contain costs and turn backup into an AI-ready data asset.

In this AWS Mid-Year Leadership Summit segment, Nutanix chief commercial officer, Tarkan Maner, sits down with theCUBE’s John Furrier to break down why hybrid cloud and AI are rewriting the playbook for enterprise infrastructure. Maner traces Nutanix’s 15-year rise from hyperconverged pioneer to cloud-smart platform that lets developers, operators and business leaders run legacy, virtual and AI workloads on-prem, in AWS or at the edge.

The conversation dives into Nutanix and AWS’s strategic collaboration agreement, covering joint product integration, channel enablement and go-to-market execution. Maner explains how the partnership simplifies migrations, safeguards data sovereignty and brings AI inferencing closer to users while sustaining a 90 NPS. He also recaps .NEXT announcements with NVIDIA, Pure Storage and Dell that strengthen an ecosystem ready to scale enterprise AI through 2025 and beyond. Looking ahead to re:Invent, Furrier and Maner call distributed computing a team sport and outline how GSIs and MSPs will help customers modernize infrastructure quickly, securely and cost-effectively.

In this exclusive AWS Mid-Year Leadership Summit interview, Prasad Kalyanaraman, VP of AWS Infrastructure Services, joins theCUBE’s John Furrier to unpack the unprecedented scale and complexity of today’s cloud infrastructure demands. Kalyanaraman outlines how AWS is rethinking data center design to keep pace with the explosion in generative AI workloads, revealing how innovations in chips, optics, cooling, and software-defined networks are reshaping what he calls “compute factories.”

The conversation traces AWS’s evolution from its early days to its current role as the global engine powering modern AI. Kalyanaraman shares how foundational technologies like Nitro, Graviton, Trainium, and Bedrock were purpose-built to deliver customer choice and scale, and why operational excellence remains the unsung backbone of AWS’s global infrastructure strategy. He also offers a candid look at how AWS navigates supply chain, energy and regional policy constraints while accelerating deployment across new regions, including partnerships in Saudi Arabia and North Carolina.

From passive exhaust systems to petabit-scale UltraCluster networks, Kalyanaraman explains why designing for power-bounded systems is critical for the next era of cloud. He also details how AWS is optimizing every layer of its stack – from chip to region – with sustainability, security and speed in mind. It’s a must-watch for anyone following the infrastructure foundations behind generative AI and hyperscale innovation.

In this exclusive AWS Mid-Year Leadership Summit conversation, Atul Deo, director of product for Amazon Bedrock, sits down with theCUBE’s John Furrier to unpack the rapid evolution of generative AI across AWS’ ecosystem. From infrastructure and model innovation to agent-based tooling and cost optimization, Deo offers a comprehensive look at how AWS is shaping the next wave of enterprise AI adoption.

Deo dives deep into key updates from the past six months, including the launch of powerful new models like Nova Premier, Claude Sonnet 4 and Opus 4, all purpose-built for improved reasoning and agentic workflows. He outlines how capabilities such as prompt caching, intelligent prompt routing and model distillation are helping customers drastically reduce costs while scaling more advanced applications.

The conversation also explores Bedrock’s growing support for multi-agent collaboration, asynchronous workflows, and the critical role of observability and automated reasoning in mission-critical environments. With real-world examples from financial services and real estate, Deo illustrates how customers are already transforming traditional processes with AI agents – achieving measurable gains in productivity, responsiveness and customer experience.

From infrastructure investments like Trn2 chips to emerging interface standards like MCP, this session provides an unfiltered look into the AWS AI stack, where model choice, latency, accuracy, and cost converge. Whether you're a developer, platform engineer, or enterprise decision-maker, Deo’s insights offer a clear roadmap for deploying scalable, secure and cost-efficient generative AI solutions.

In this interview from the AWS Mid‑Year Leadership Summit, Kenton Olson, vice president of Digital and Emerging Media at the Seattle Seahawks, joins theCUBE’s John Furrier to reveal how a pro football franchise is turning AWS technology and generative AI into a competitive edge. Olson outlines his dual mandate to run digital content and digital products, explaining why a cloud‑first partnership with AWS is essential for serving fans across the website, mobile app and more than 80 social channels in near real time.

The discussion dives into a production pipeline built on MediaConvert, Bedrock and analytics services that cuts video publishing time from roughly sixty minutes to fifteen. Olson details how automated transcription, multilingual captions and smart resizing frees creators to focus on story rather than grind. The conversation also highlights experimental work with computer vision and Next Gen Stats to surface new insights from decades of archival footage while personalizing experiences for stadium visitors and international supporters alike.

Olson and Furrier explore best practices for balancing creativity with data, measuring channel performance and scaling content without burning out staff. Viewers gain practical insight into how AI, observability and cost‑aware infrastructure can modernize any organization that wants to blend physical and digital experiences at scale.

In this interview from the AWS Mid-Year Leadership Summit, Nandini Ramani, VP of Search, Observability and Cloud Operability at AWS, joins theCUBE’s John Furrier to unpack how AWS is shaping the future of cloud operations in the age of generative AI. Ramani offers a detailed look at the evolving role of observability, search and data infrastructure as enterprises shift into the agentic era. She shares how services like OpenSearch, CloudWatch and CloudTrail are becoming critical for building intelligent systems that can operate at scale, support autonomous agents and accelerate developer productivity.

Ramani reflects on the rise of ephemeral agents, the importance of memory-aware systems and how AWS’s chip-level innovation with Inferentia and Trainium is unlocking powerful AI use cases. The conversation also highlights AWS’s focus on usability through unified tooling, open standards like OpenTelemetry and recent advancements in network observability and Strands. Real-world examples from Amazon Music, Kindle, Cedar Gate and SmugMug illustrate how AWS’s data-driven services are shortening troubleshooting cycles and enabling production-grade GenAI applications.

Ramani also speaks candidly about the cultural shift within AWS as teams embrace AI in daily workflows, with hackathons and productivity challenges transforming how services are built and delivered. From systems thinking to agent lifecycle management, this session dives deep into how AWS is preparing for what’s next in cloud and AI operations.

In this exclusive segment from the AWS Mid-Year Leadership Summit, Rohan Karmarkar, Director of APO Technology at AWS Partner Network, joins theCUBE’s John Furrier to unpack how AWS and its partners are driving next-generation cybersecurity innovation with generative AI. Karmarkar outlines the three primary use cases emerging across enterprise security: securing gen AI applications, using AI to improve threat detection and defending against AI-powered attacks. He highlights how AWS partners like PagerDuty, Trellix and CrowdStrike are integrating services such as Amazon Bedrock and SageMaker to build intelligent, automated security assistants that empower overburdened analysts and accelerate incident response.

The discussion dives into the evolving AI infrastructure landscape, emphasizing AWS’s secure-by-design architecture and the critical role of encrypted data and access control. Karmarkar also details how AWS’s marketplace and model flexibility give partners the reach and tools to build scalable solutions tailored to specific security and performance needs. From agentic architectures to app and data modernization, the conversation showcases how AWS is equipping partners to evolve their platforms, enhance productivity, and meet the growing complexity of cloud-native security.

In this in-depth interview from the AWS Mid-Year Leadership Summit, Jose Kunnackal, director of Amazon QuickSight, joins theCUBE’s John Furrier to explore how AWS is redefining business intelligence through generative AI and agent-based analytics. Kunnackal breaks down the expanding QuickSight portfolio, including Q Business, Q Developer and Scenarios, and how these offerings are enabling customers to derive faster insights from both structured and unstructured data.

The discussion traces QuickSight’s evolution from a cloud-native BI tool into a generative BI platform built for scale, accessibility and speed. Kunnackal explains how enterprise customers like Whole Foods and ETL Bank are democratizing data access for thousands of users while reducing dashboard sprawl and analyst backlog. He also details the role of Q Business in securely surfacing insights across SharePoint, Confluence and other unstructured sources – bridging the gap between data teams and business users.

With Scenarios and agentic AI, QuickSight is helping business leaders model outcomes, automate planning and drive decision intelligence without needing to write code. Whether you’re a developer, product owner or executive, Kunnackal outlines how QuickSight empowers faster decision-making and delivers meaningful productivity gains in the age of AI.