Beyond the Hype: The Promise and Practicality of NetApp’s New AI Strategy

Colleen Coll provides an insightful examination of NetApp’s latest AI strategy, highlighting its potential and practical applications in the realm of enterprise IT. The article evaluates how NetApp’s approach aims to weave AI seamlessly into data management processes, benefiting businesses in terms of efficiency and innovation. For more, watch the incredible behind the scenes videos by Colleen Coll.

The Role of Data Infrastructure in Enterprise AI with Ingo Fuchs of NetApp

The podcast episode explores the critical role of data infrastructure in supporting enterprise AI and agentic AI applications. It emphasizes the need for storage infrastructure teams to take a more active role in enabling performance, efficiency, and governance for AI workloads. The conversation highlights NetApp’s capabilities, such as AI Data Engine and native infrastructure integrations, in enabling real-time data pipeline management and ensuring consistent and secure data delivery.

NetApp AFX and AI Data Engine: Transforming Enterprise AI Storage

Gina Rosenthal recently explores the innovative features of NetApp AFX and the AI Data Engine, tools designed to revolutionize storage solutions for enterprise AI applications. These technologies enhance performance and scalability, streamlining the storage infrastructure to support advanced AI workloads efficiently. For additional coverage of NetApp Insight, follow Gina Rosenthal’s coverage on LinkedIn Pulse.

Enhancing Security in the Age of AI and Agents

The Techstrong Gang explores the increasing complexities of enterprise security in an era dominated by advanced artificial intelligence and automated agents. They discuss the need for evolving security strategies to safeguard data and infrastructure against sophisticated threats enabled by these technologies. During the conversation, Stephen Foskett compares the approach of NetApp as seen at the recent INSIGHT event, for data protection. The topics presented at Security Field Day are also covered, including SquareX, as well as the recent Microsoft Security event.

Understanding the Impact of the AWS Outage & Cloud Infrastructure Challenges

The Techstrong Gang discusses the AWS outage, NetApp’s AI data management strategy, and Talos Linux. Following NetApp Insight, Stephen Foskett discusses NetApp’s new AI-native platform and data engine, which impressed for securely managing unstructured data. Watch Techstrong Gang every weekday for more Tech Field Day coverage!

Tariffs, AI Adoption & The Unstructured Data Problem

The Techstrong Gang discusses the intricate impact of tariffs on global IT industries, highlighting their potential to alter production and market dynamics They further explore the accelerated adoption of AI technologies, underscoring how businesses are grappling with the burgeoning challenge of managing unstructured data. Stephen Foskett connects this to the recent NetApp Insight event, which focused on presenting data for use by AI applications.

Tech Field Day Experience at NetApp Insight 2025 Keynote Live Blog

Learn more about NetApp Insight 2025 during the Keynote in our delegate live blog!

Moving Enterprise AI Applications From Experiments to Production with NetApp

Running enterprise applications in production is a lot different from the AI experiments many of us have been involved with so far. This episode of the Tech Field Day podcast, recorded prior to NetApp Insight 2025, features Ingo Fuchs from NetApp along with Gina Rosenthal, Glenn Dekhayser, and Stephen Foskett. AI applications often start as experiments with a limited data set, but once these are moved to production there are many critical decisions to be made. Data must be classified and cleaned, removing personal and financial data and proprietary information before it even reaches an LLM. Data also must be structured for embedding and vectorization prior to use by an LLM. And we have to ensure that data is up to date or the application will not serve the customer properly. Finally we have to consider whether it is proper and ethical to share and act on this data. Many of the challenges facing modern AI applications are similar to the historic issues faced by enterprise storage, and this is an area in which NetApp and their customers have decades of experience.