Every AI Strategy Needs a Data Protection Strategy with Commvault

Every company lives in fear of a ransomware attack, whether they have suffered one or not, and this is even more critical in the era of AI. This episode of the Tech Field Day Podcast looks forward to Commvault SHIFT in November with a discussion of the importance of data protection to AI applications with Tim Zonca from Commvault, frequent delegate Gina Rosenthal, and host Stephen Foskett. AI applications are reliant on good data, and yet this same technology makes it easier for attackers to breach corporate controls. Today’s social engineering and phishing is more convincing than ever thanks to generative AI, and this has helped ransomware crews to adopt larger and more powerful attacks. Ransomware is a massive business, and it isn’t going away any time soon. At the same time, GenAI applications offer a new attack surface, as agentic AI is empowered to take action based on untrusted inputs. Not only can we not stop ransomware, but the pace and technical capabilities of these attacks keeps accelerating. There is reason for optimism, however, as data protection tools keep getting better. Today’s AI-optimized tools can effectively categorize data, burst or migrate to different locations, and roll back or recover from corruption or compromise. In the future, we will see increasing use of AI to monitor systems and data, detecting patterns and hardening the attack surface.

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.

Software is Automating Your AI Data Centre Infrastructure

Hardware always matters, especially in AI and now software is automating your AI data centre infrastructure. This episode of the Tech Field Day podcast features Gina Rosenthal, Barton George, Andy Banta, and Alastair Cooke. Generative AI brought new hardware into enterprise data centres; GPUs, TPUs, NPUs, XPUs all offload AI processing from CPUs for more performance and efficiency. Feeding these accelerators requires fast networks and fast storage, common topics for AI Infrastructure Field Day events. In parallel, sophisticated software to automate the deployment and operation of this new hardware is vital to return value fast and optimize the value from the hardware investment. Automation platforms are moving up towards delivering multiple AI applications on shared XPU infrastructure, where AI inference delivers the business value.

Pushing the Boundaries of AI Performance, Scale, and Innovation at AI Infrastructure Field Day 3

Tech Field Day is heading back in Santa Clara, California on September 10th and 11th for AI Infrastructure Field Day 3. You can watch live on the Tech Field Day website, LinkedIn Page, or Techstrong TV to see how the boundaries of performance, scalability, and innovation are being pushed by our presenting companies. The event […]

Unlocking the Power of Agentic AI at Qlik Connect 2025

Gina Rosenthal expertly explores the potential of Agentic AI during her insightful coverage of Qlik Connect 2025, highlighting its transformative impact on business intelligence and data analysis. She explains how these advanced AI capabilities improve decision-making and operational efficiency in contemporary enterprises. For additional insights from Gina Rosenthal, visit her contributions on LinkedIn Pulse.

Qlik Connect 2025 Keynote Live Blog – Day Two

Tech Field Day heads to Qlik Connect May 13 through May 15, providing videos, interviews, behind the scenes footage, and of course the Tech Field Day style presentations you’ve come to expect. This Live Blog coverage of the Day Two Keynote tells what our Delegate community is learning from the event. Learn more about the […]

Qlik Connect 2025 Keynote Live Blog – Day One

Tech Field Day heads to Qlik Connect May 13 through May 15, providing videos, interviews, behind the scenes footage, and of course the Tech Field Day style presentations you’ve come to expect. This Live Blog coverage of the Day One Keynote tells what our Delegate community is learning from the event.

Quality Data is the Foundation for AI with Qlik

AI ought to be able to help businesses derive value from their data, but not all AI applications have a solid foundation. This episode of the Tech Field Day podcast looks forward to Qlik Connect 2025, featuring delegates Gina Rosenthal and Jim Czuprynski discussing the importance of data with Nick Magnuson of Qlik and host Stephen Foskett. Last year Qlik introduced Answers, a RAG AI product that delivers intelligence from unstructured data. This year we expect to see much more integration with structured data, analytics, business intelligence, and agentic AI, as Qlik’s customers seek to deliver innovative solutions. Mature organizations are focused on building a solid governance foundation for their data, ensuring responsible and ethical use in AI applications. The advent of agentic AI raises more concerns, as autonomous agents are empowered to take action without human involvement. Responsible use must include strict limits and human supervision to make sure AI agents remain controlled. We’re looking forward to customer stories, technical takeaways, and maybe some new product introductions at Qlik Connect this year!

Exploring HPE ProLiant Innovations at TFDx

In this video, Gina Rosenthal provides an in-depth examination of the latest HPE ProLiant innovations at our recent Tech Field Day special event, highlighting their impact on enterprise technology. She discussed key advancements in server technology that aim to improve efficiency and scalability in data centers.

You Already Have the Platform and Skills for On-premises AI Applications

Alastair Cooke explores the potential for businesses to leverage their existing on-premises infrastructure and skills to develop AI applications, bypassing the complexities and costs associated with cloud services. He emphasizes the strategic use of current hardware and team capabilities to enable innovation while maintaining control over data and processes. Watch the full episode of this Tech Field Day podcast on YouTube or at Techstrong IT.

Production AI Applications with VMware Private AI on VCF

You already have the people and the platform to run production AI applications in your on-premises data center. This episode of the Tech Field Day podcast, presented by Broadcom, features Tasha Drew, Gina Rosenthal, Jay Cuthrell, and Alastair Cooke. The public cloud is a great place to innovate and test new technologies or for bursty workloads where on-demand access to near-limitless resources is essential. Predictable and steady-state production workloads are often more cost-effective on-premises, and AI applications are no different. Your existing on-premises compute platform, based on VMware Cloud Foundation, is a great place to run production AI applications with more direct cost control while keeping your data on-premises. Running your AI applications on your existing platform capitalizes on your investment in software, hardware, and your staff, who won’t need to learn a new paradigm.

Is Private AI a good idea?

Gina Rosenthal recently explored the concept of Private AI, posing critical questions about the balance between privacy and the utilization of AI technologies in safeguarding personal data. The article highlights the potential benefits and challenges associated with implementing Private AI in various sectors, emphasizing the need for stringent security measures and ethical considerations. For additional insights and comprehensive analysis from AI Field Day 6, visit Digital Sunshine Solutions.

From Legacy to Leading-Edge: Embracing Mainframe Modernization with BMC

BMC showcased its approach to mainframe modernization at the SHARE conference, highlighting the challenges of updating legacy systems that often operate on outdated COBOL programs. Their solution, the AMI DevX platform, features tools like Code Insights that assist in refactoring COBOL into contemporary, manageable components. The platform also integrates generative AI to simplify the analysis of these complex systems for new developers, thereby accelerating the modernization process and ensuring the continued robustness of critical enterprise infrastructure. Read more in this article by Gina Rosenthal, who attended the BMC presentation at Tech Field Day Extra at SHARE Kansas City 2024.

The Future is Bright: Mainframes & Innovation!

In the latest episode of Tech Aunties, hosts Gina Rosenthal and Marian Newsome explore the evolving role of mainframes, underscored by their experiences at the Share Conference in Kansas City. They discuss the integration of AI and machine learning with mainframe technologies and address the generational transfer of knowledge within the industry. The episode wraps up with a call to action for those affected by layoffs to consider opportunities in mainframes, highlighting the sector’s significance and ongoing innovation.

The Tech Aunties go to SHARE

Gina Rosenthal and Marian Newsome attended the Tech Field Day presentations at SHARE in Kansas City. They discussed topics like DevOps, generative AI, system management, and mainframe modernization. They are particularly interested in the modernization of mainframes and the potential for integrating AIOps and containers with mainframes. They discuss the historical significance of mainframes and the possibility of moving data between mainframes and the cloud. They also mention plans to attend sessions on IBM’s Watson X and AI on mainframes, and the importance of educating younger generations about these technologies. Listen to The Tech Aunties podcast for more!

Announcements From Qlik Connect | Gestalt IT Rundown: June 5, 2024

This episode of the Gestalt IT Rundown includes a closer look at the announcements from Qlik Connect, offering a snapshot of Qlik’s evolving position in the data analytics and BI space. The summary highlights how Qlik’s new initiatives and product updates are set to empower organizations with enhanced data integration, active intelligence, and insights. This discussion features Stephen Foskett and Gina Rosenthal and was recorded on-site at the event.

Key Acquisitions Drive Qlik Community Growth

Gina Rosenthal discusses how strategic acquisitions have been pivotal in expanding the Qlik community and enhancing its comprehensive data analytics platform as seen at Qlik Connect 2024. The article discusses how Qlik’s deliberate integration of acquired technologies has bolstered its offerings, catering to a growing user base looking for advanced data integration and actionable insights. These moves not only show Qlik’s commitment to continuous improvement but also position the company to meet the evolving needs of the data-driven landscape.

Qlik Connect 2024: A Chocolate Alligator and a Bunch of AI Announcements

Gina Rosenthal provides an intriguing account of Qlik Connect 2024, focusing on the range of AI announcements that promise to enhance the analytics platform. The article highlights how Qlik is embedding AI capabilities into its products to enable deeper insights and more intuitive data interaction for its users. Rosenthal’s lively coverage also captures the event’s unique ambiance, complete with an unexpected chocolate alligator, underscoring the creative and innovative spirit that drives Qlik’s community gatherings.

Data Quality is More Important Than Ever in an AI World with Qlik

In our AI-dominated world, data quality is the key to building useful tools. This episode of the Tech Field Day podcast features Drew Clarke from Qlik discussing best practiced for integrating data sources with AI models with Joey D’Antoni, Gina Rosenthal, and Stephen Foskett before Qlik Connect in Orlando.

AI Is Pushing Storage and Data Management Harder Than Ever

Former Tech Field Day delegate Chin-Fah Heoh delves into the implications of AI on storage and data management, drawing from Gina Rosenthal’s recent article about Solidigm at AI Field Day. Chin-Fah discusses the escalating demands placed on storage systems by AI workloads, emphasizing the critical need for high-performance solutions. The stages of AI data processing (ingestion, preparation, training, checkpointing, and inferencing) require high read IOPS, ultra-high write throughput, and low latency. Chin-Fah also explores the role of data governance in ensuring the integrity and trustworthiness of data for AI applications. Read more on his blog!