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Driving Enterprise Value: AI Trends in Cloud Infrastructure for 2026

2026 AI Trends Webinar Series - Episode 1

Americas: Tuesday, January 20
EMEA: Tuesday, January 27

Scaling AI for enterprises: From strategy to organizationwide results

Explore how agentic AI, cloud native platforms, and robust infrastructure are shaping enterprise AI adoption in 2026

Ready to extend AI beyond successful departmental projects? Join us for an in-depth session with industry experts and Oracle leaders to explore the essential trends and technologies making organizationwide AI adoption possible in 2026 and beyond.

You’ll learn:
  • How agentic AI is driving automation at scale, helping organizations tackle complex processes across departments
  • Cloud native best practices that enable LLMOps to operationalize AI and deliver reliability and flexibility for every business unit
  • The critical role of robust cloud infrastructure in supporting measurable business outcomes with AI and helping you move beyond pilot projects to full adoption
Discover how to make 2026 your most productive and transformative year yet by embedding AI in every part of your organization, with Oracle supporting you all the way.

Register for the time that best fits your schedule:

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Tuesday, January 20

9:00 a.m. PT | 12:00 p.m. ET
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Tuesday, January 27

11:00 a.m. CET

Featured Speaker

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Roger Barga

Senior Vice President, Artificial Intelligence & Machine Learning
Roger Barga is currently senior vice president at Oracle Cloud Infrastructure (OCI), responsible for strategy and execution of OCI's AI & ML portfolio of services. Roger is a seasoned technology executive with over two decades of experience driving innovation in cloud computing, data platforms, and AI. Prior to his current role, Roger was vice president and general manager, Azure databases at Microsoft, and has held executive leadership positions at Amazon Web Services, where he spearheaded the development of Amazon Kinesis and AI initiatives in computer vision, document processing, and fraud detection. His career spans both industry and research, with a strong foundation in machine learning, data processing, and distributed systems. Roger holds a Ph.D. in Computer Science and has contributed to numerous publications in the field of data services and cloud infrastructure.