Hear from leading-edge customers about their experiences with AI implementation. This session will cover the challenges and successes in managing large datasets, processing models, and integrating AI into existing network frameworks, providing valuable insights into practical applications and strategies.
This session will focus on the importance of consolidating and simplifying network infrastructure to improve data quality and management. Participants will explore strategies to minimize the number of network components and enhance observability and management through AI.
The concept of the AI Blueprint is to capture the essential elements of AI deployment—data, infrastructure, and algorithms—while highlighting the importance of a strategic plan for achieving successful outcomes. In this session we will discuss each area and discuss the solutions, eco-partners, and the value for the these layers.
As enterprises and governments scale their use of GenAI models, ensuring model quality becomes crucial. But how do organizations harness the scale and diversity of data while balancing the climate impact, regulations, and commercial needs? This panel will dive into the intersection of GenAI, data quality, and emerging challenges, exploring how organizations are addressing the climate impact through net-zero connectivity and green routes, navigating regulations such as data privacy and sovereignty, and ensuring that their AI models are not only scalable but commercially flexible.
Moderated by Nick Lippis, this panel discussion will feature Colin Bannon, Petek Ergul, and Chris Sharp of Digital Realty. The panel will explore the return on investment (ROI) from AI infrastructure, addressing the significant investments made by companies and speculating on when tangible returns will materialize. Panelists will discuss their perspectives on the timelines and metrics for AI ROI, the strategic investments required, and the broader implications for businesses across various industries. Who Should Attend: -Business and financial leaders -IT and infrastructure managers -AI and…
