Red Hat AI for business leaders

REGISTER

First name *

Last name *

Work email *

Work phone *

Company *

Department *

Job role *

Country/Region *

State/Province *

Zip/Postal code *

Click here to consent to the collection and processing of your personal data by The Infotech Beat & Red Hat under applicable data privacy laws for fulfillment of 'the offer.

Notify me about products, services, and events.

By accessing advertiser content, your details will be used by The Infotech Beat & Red Hat for the fulfillment of 'the offer' and follow-up after the fulfillment of the offer.

See the Privacy Policy for more information on the privacy practices of Red Hat and how your personal data will be processed by or on behalf of Red Hat.

Red Hat may follow up in accordance with their Privacy Policy, which offers more information on the privacy practices and how your personal data will be processed by or on behalf of Red Hat.

Red Hat may use your personal data to inform you about its products, services, and events.

You can stop receiving marketing emails by clicking the unsubscribe link in each email or withdrawing your consent at any time in the preference center. See privacy statement for details.

Webinar

Red Hat AI for business leaders

As the 2026 landscape takes shape, business leaders are facing a pivotal transition: the demand for measurable P&L impact has officially superseded the initial wave of AI exploration. While the potential of artificial intelligence is widely recognized, the primary barriers to adoption have evolved. Success no longer depends on the model alone, but on establishing robust agentic governance and navigating a "control-first" approach to data sovereignty.

However, many organizations still struggle to bridge the gap between initial innovation and large-scale execution. The complexity of moving from basic inference to sophisticated, agentic systems can feel overwhelming, especially when balancing the need for security with the pressure to deliver immediate results.

In this webinar, we will break down these market dynamics and provide a clear, strategic path forward. We will introduce the core pillars of the Red Hat AI portfolio—from high-performance inference and bringing models to your data, to achieving agentic scale—and explore how our newly launched Red Hat AI Enterprise solves these critical challenges. By examining real-world customer stories, we will demonstrate how leading organizations are successfully putting Generative AI into production today. Finally, we will present findings from the February 2026 Forrester Total Economic Impact^™ (TEI) study to highlight the specific metrics, benefits, and ROI you can expect. You will leave this session with a practical understanding of how to future-proof your strategy and scale your AI journey with confidence.

TAKEAWAYS:

Navigate the shift to operational AI: Understand the high-level market dynamics driving the transition from AI experimentation to measurable P&L impact. Explore what technologies and tools your enterprise will need to deploy agentic AI and adopt a control-first approach to ensure sovereignty.
Discover the Red Hat AI Portfolio: Learn how a unified, enterprise-grade platform allows you to start your AI journey today. Dive into the core pillars of Red Hat AI: high-performance inference server, bringing models to your proprietary data, deploying autonomous agentic workflows, and scale enterprise AI with confidence.
Review real-world evidence and ROI: Walk through 3–5 successful customer stories. Examine the specific metrics and financial benefits from the February 2026 Forrester Total Economic Impact™ (TEI) study, giving you a clear framework for measuring your own organizational success.

SPEAKER

Jenifer Vargas

Senior Principal Product Marketing Manager, AI BU, Red Hat, Inc.

Jennifer is the Sr. Principal Product Marketing Manager for Red Hat AI. With over 15 years of experience in positioning and selling AI, cloud technologies and Middleware, she has a proven track record of promoting software solutions that drive demand and deliver exceptional customer value. She has played a key role in identifying and responding to fast-changing market trends by providing clear, actionable guidance to sellers and marketers worldwide. Although she holds a degree in Chemical Engineering, her passion for software products led her to transition from the oil and gas industry to information technology.