Agentic workflows reshape enterprise AI strategy – News

Agentic workflows are no longer a future promise — they’re the new foundation of enterprise artificial intelligence. As autonomous systems shift from generating content to taking action, organizations are redesigning how they build, operate and scale.

This pivot is reshaping everything from infrastructure and developer tooling to team structure and business outcomes. Companies that once experimented with generative AI are now racing to deploy full-stack agentic systems capable of driving decisions and executing tasks. In a candid conversation with theCUBE’s John Furrier (pictured, left), Matt Garman (right), chief executive officer of Amazon Web Services Inc., explained how these shifts are redefining enterprise productivity — and why the next big leap in AI isn’t about smarter models but about building systems that can move.

“Agentic is one of those things that’s changing that math equation,” Garman said. “We’ve got to help them and help customers understand where they can get that value. We’re doing a ton to roll out tools and capabilities, as well as infrastructure, that help customers make sure that they can get the value out of those things.”

Furrier spoke to Garman and other industry experts at the AWS Mid-Year Leadership Summit, during an exclusive broadcast on theCUBE, News Media’s livestreaming studio. The Leadership Summit, along with the upcoming AWS Summit NYC and NYSE Digital Twin events, serves as a strategic “halftime report” for the AWS’ re:Invent conference in December, previewing how AWS plans to lead in agentic AI. (* Disclosure below.)

During this week’s Leadership Summit, analysts and experts discussed how agentic workflows are transforming enterprise AI by enabling systems to act autonomously, driving major changes across infrastructure, security, hybrid cloud, development and digital engagement.

1. Reimagining development through agentic workflows

Agentic workflows now power everything from Amazon Q Developer productivity boosts to AI-driven documentation and architecture planning. These capabilities enable 3x speed gains for builders and set a new bar for enterprise agility, according to Garman.

Read more of theCUBE’s exclusive event analysis.

2. Why metadata is becoming the new engine for AI workflows

The rise of S3 metadata tables is transforming how enterprises find and activate data for AI. By enabling faster discovery and automation, metadata is becoming the key layer powering agentic workflows and governance at scale, said Mai-Lan Tomsen Bukovec, vice president of technology, data and analytics, at AWS.

Check out theCUBE’s complete interview.

3. Security-first data platforms are powering agentic workflows

Cohesity Inc.’s integration of data protection, security and AI is paving the way for agentic workflows in hybrid and multicloud environments. With cyber resilience as a core pillar, Sanjay Poonen, CEO of Cohesity, described how the company’s AWS-optimized architecture and unified control plane give customers a secure, scalable foundation for autonomous data-driven operations.

Read the full story on theCUBE.

4. Hybrid cloud becomes a launchpad for AI enterprise transformation

Nutanix Inc. is using hybrid cloud to help enterprises migrate legacy systems and scale AI-driven applications. The need for open, secure platforms that support agentic workloads across environments is important, emphasized Tarkan Maner, chief commercial officer of Nutanix.

Don’t miss the full interview on theCUBE.

Nutanix’s Tarkan Maner talks with theCUBE about how hybrid cloud is emerging as a key enabler of AI transformation.

5. AI meets football: The Seattle Seahawks streamline digital storytelling

Agentic workflows are powering a new era of sports media at the Seattle Seahawks, where AI tools help creators work faster and smarter. Automation now enhances creativity and personalization at scale, shared Kenton Olson, VP of digital and emerging media at the Seattle Seahawks.

Read more of theCUBE’s exclusive event analysis.

6. Shaping the future of hybrid work with agentic AI

As AI reshapes the workplace, Colleen Aubrey, senior VP of applied AI Solutions at AWS, talks about how AWS is building a new class of agentic workflows — where humans collaborate with AI assistants to manage, orchestrate and transform daily operations.

Check out theCUBE’s complete interview.

7. Scaling AI with smarter infrastructure

AWS is reimagining data centers as intelligent, power-optimized compute factories built to handle the surging demands of generative AI. This shift includes custom chips, faster networks and sustainable design, explained Prasad Kalyanaraman, VP of AWS infrastructure service at AWS.

Read the full story on theCUBE.

8. Generative BI is changing who gets answers — and how fast

QuickSight is transforming business intelligence by enabling business users to ask questions and get multi-visual insights instantly. Generative BI is accelerating decision-making across enterprise teams, said Jose Kunnackal, director of Amazon QuickSight at AWS.

Don’t miss the full interview on theCUBE.

9. Observability becomes mission-critical in the age of agents

Search, observability and governance tools are becoming foundational to enterprise AI strategy. This is especially true as ephemeral agents proliferate, according to Nandini Ramani, VP of search, observability and cloud ops at AWS.

Read more of theCUBE’s exclusive event analysis.

Cohesity’s Sanjay Poonen talks to theCUBE about agentic workflows.

10. Security innovation accelerates with agentic AI tools

AI-powered security is evolving fast, and AWS partners are at the center of it. Agentic workflows are boosting SOC productivity and helping partners tackle new AI-driven threats, said Rohan Karmarkar, director of APO technology for AWS Partner SA.

Check out theCUBE’s complete interview.

11. Computer vision and agentic workflows are redefining retail

Just Walk Out blends computer vision and edge AI to enable agentic workflows in physical retail. Technology boosts revenue, reduces theft and simplifies operations, explained Rajiv Chopra, VP of Amazon Just Walk Out at AWS.

Read the full story on theCUBE.

12. AWS doubles down on cost-efficient agentic workflows

AWS is streamlining agentic workflows with tools such as prompt caching, model distillation and intelligent routing. These innovations cut costs and boost efficiency across enterprise applications, according to Atul Deo, director of product, AWS Bedrock at AWS.

Don’t miss the full interview on theCUBE.

13. How AWS is scaling personalized marketing with AI

Agentic workflows are redefining how AWS approaches digital engagement, enabling hyper-personalized marketing at scale. The need to meet customers where they are with data-fueled precision is important, emphasized Julia White, VP of worldwide AWS marketing at AWS.

Read more of theCUBE’s exclusive event analysis.

Here’s the complete video playlist from News’s and theCUBE’s coverage of the AWS Mid-Year Leadership Summit:

https://www.youtube.com/watch?v=videoseries

Stay tuned for updates from theCUBE’s coverage of the AWS Summit NYC and NYSE Digital Twin events.

(* Disclosure: TheCUBE’s event coverage of the AWS Mid-Year Leadership Summit is brought to you by Cohesity and Nutanix. Sponsors of theCUBE’s event coverage do not have editorial control over content on theCUBE or News.)

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