This panel will explore the critical infrastructure and operational needs for deploying Network as a Service (NaaS) solutions in large enterprise environments, especially as they embrace the transformative power of AI. Panelists will discuss real-world examples of how NaaS can meet high demands for scalability, security, and resilience in enterprise networks, while addressing cost, agility, and data governance. The conversation will touch on practical challenges and success stories around scaling NaaS, compliance hurdles, AI-enhanced cybersecurity, and the evolving role of IT leaders in shaping AI-ready…
In the era of accelerated AI advancements, many enterprises face complex challenges and critical decisions when deploying Generative AI applications at scale. This panel brings together industry pioneers and IT leaders who have successfully integrated GenAI solutions within their organizations, aligning them with existing infrastructure and achieving measurable outcomes. Participants will gain actionable insights into overcoming barriers like scalability, compliance, talent shortages, and cost-effectiveness. Panelists will share strategies to navigate the technical, ethical, and operational hurdles inherent to GenAI, empowering organizations to maximize the transformative…
In the rapidly evolving landscape of AI and networking, leveraging AI co-pilots to drive network automation is not just a futuristic concept but a present-day reality. This panel discussion aims to delve into the practical applications and strategic implications of using AI co-pilots to automate network operations at scale. Our panel of experts will share insights on the integration of AI-driven solutions, explore the challenges and benefits of adopting these technologies, and discuss real-world case studies of successful implementations. Attendees will gain a deeper understanding…
84% regularly learn about issues from end-users instead of their monitoring tools. While 95% say they don’t get ISP/Cloud data they need to effectively triage issues. An AI-driven NOC is only successful when it is fueled by intelligent data collected and analyzed from every hop in the client to cloud network path. In this session, learn how to mature your Network Observability practice so it intelligently feeds your AI-driven NOC-bot and provides the breadcrumbs you need to prove your innocence or pinpoint the root cause…
Legacy network and security architectures extend your network to branches and the cloud, enabling threats like ransomware to move laterally. Internet-facing firewalls and site-to-site VPNs expand your attack surface, and increase costs and complexity, putting your organization at greater risk. Join this session to discover an agile approach to securely connect users, devices, and workloads within and between the branch, cloud, and data center. You’ll see how to: Stop ransomware: Prevent lateral movement by segmenting users, devices, and workloads in days, not months or years….
In the era of artificial intelligence (AI), the ability to move vast quantities of data efficiently and securely is paramount. Consequently, the question of how to move data becomes a strategic one for network architects, who must carefully plan this movement and placement to optimize for performance, cost, and regulatory considerations. In this session we explore how Riverbed Technology, with its long-standing expertise in network acceleration and resilient networking, is at the forefront of this transformation for AI data movement.
Presented by visionary leaders, these keynotes address the complexities of AI transformation while presenting action plans for embedding AI technologies into your organization. Hear from these renowned leaders from diverse sectors, as they share strategic insights, real-world applications and future trends.
Over the past decade, AI has undergone a seismic shift, from the early days of GPT-1 to today’s trillion-parameter models. Yet, this revolution follows familiar industry patterns—initial underestimation, rapid acceleration, and emerging disruptions like DeepSeek and Agentic AI. This panel will explore AI’s historical cycles, the compute-cost dynamics driving innovation, and the next wave of GenAI advancements, from RAG-based search to Agentic flows. We’ll tackle critical questions: What compute models will power AI’s future? How do privacy, security, and infrastructure evolve in this new era?…
As the leader of Merck’s Cloud Migration Strategy, Sean Finnerty will share how this initiative became a catalyst for transformation across research, operations, and manufacturing. Discover how Merck has harnessed AI-driven methodologies to expand compute capacity—empowering scientists to accelerate groundbreaking pharmaceutical research and optimizing manufacturing operations for greater efficiency and innovation.
