Discover what's next in tech
Never before has enterprise technology undergone such rapid and profound change as it’s experiencing with the advent of generative AI. For today’s leaders, this technology presents unprecedented opportunities — and risks — for their organizations. This series of webinars, delivered by ºÚÁÏÃÅ and our trusted technology partners, will enable executives to explore and understand the latest trends and strategies across AI, data, application and infrastructure management, and IT modernization.
Explore our sessions
Get insights on transitioning AI from experimentation to enterprise impact, including real-world successes and challenges in navigating this journey. From tackling executive skepticism to addressing technical complexities, security and talent shortages, we'll explore actionable strategies for driving AI adoption.Ìý
Discover the strategic approaches organizations should adopt to navigate their unique modernization journeys. We'll explore how organizations should take an objective view on identifying and scoring potential risks in their modernization efforts - while managing competing priorities within their organization.
This session will explore the critical questions business leaders must ask to align IT objectives with strategic goals. You'll learn how to craft and communicate a comprehensive vision to stakeholders, and we’ll discuss strategies for staying focused on achieving desired outcomes amidst competing priorities.
The explosive growth of AI has only increased the pressure to unlock enterprise data, however, enabling AI to consume your organization’s data also presents great risk.ÌýIn this webinar, our data experts will discuss how to enable data democratization (and all its benefits) while maintaining the necessary control to ensure high quality, trustworthy data.
As businesses continue to explore and test AI use cases at scale, oversight from regulators will increase. Our experts will explore how managed operations are poised to play the role of overseer, managing risk and meeting compliance requirements associated with AI.
Can you trust the accuracy and reliability of your large language model (LLM) outputs? The opaque nature of LLMs is one of the biggest challenges preventing organizations from getting great AI concepts into production.ÌýIn this webinar, our AI experts will discuss how to evaluate LLM effectiveness and risks.
Meet the speakers
Aaron Erickson
Ìý
Senior Engineering Manager, NVIDIA
Andy Nolan
Ìý
Director of Emerging Technologies, Australia, ºÚÁÏÃÅ (Moderator)
Brian Bohan
Ìý
Director, Worldwide Consulting Partners, AWS
Camilla Crispim
Ìý
Principal Consultant Engineer, EMPC Lead, LATAM, ºÚÁÏÃÅ
Carlos Villela
Ìý
Senior Software Engineer, NVIDIA
Christian Rota
Ìý
AL / ML Partnerships, Amazon Web Services
Dave Orwick
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Migration and Modernization Partner Leader, Americas, Amazon Web Services
Flora Sah
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Head of Safety and Soundness Technology, Enterprise Operations and Technology, CitiGroup
Fred Herselman
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General Manager of Enterprise Data, Decisioning and AI, PEXA
Karen Davis
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Principal Technologist, Data and AI, APAC, ºÚÁÏÃÅ (Moderator)
Mara Cajar Robinson
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Head of Digital Platforms, APAC, ºÚÁÏÃÅ
Matthew Lee
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Global Head of DAMOâ„¢ Managed Services, ºÚÁÏÃÅ (Moderator)
Musa Parmaksiz
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Head of AI and Data Center Excellence, UBS Investment Bank
Nigel Dalton
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Director and Social Scientist, ºÚÁÏÃÅ (Moderator)
Nimisha Asthagiri
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Services Leader, Advanced Analytics and AI, North America ºÚÁÏÃÅ (Moderator)
Paul Curtis
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Director of easyJet Holidays Technology and Group Digital EngineeringÌý
Peter Barnes
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Head of Data and AI, SEAANZ, ºÚÁÏÃÅ
Prasanna Pendse
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Director of AI Strategy, ºÚÁÏÃÅ (Moderator)
Prashant Atri
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Senior Cloud Solution Architect, Microsoft
RichardÌýWilmot
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Principal Partner Solutions Architect, Amazon Web Services
Shayan Mohanty
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Head of AI Research, ºÚÁÏÃÅ
Shodhan Sheth
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Head of Enterprise Modernization, Platforms and Cloud Lead, Europe, ºÚÁÏÃÅ
Tiankai Feng
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Data Strategy and Data Governance Lead, ºÚÁÏÃÅ
Tim Coggrave
Ìý
Principal Consultant, ºÚÁÏÃÅ (Moderator)
Supported by our partners AWS, Google Cloud and Microsoft
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