Strategic Data Management for AI Transformation: Navigating the Challenges of Data Aggregation and Movement
In the era of Generative AI (GenAI), managing and aggregating vast amounts of data from varied geographic locations poses significant challenges, especially when dealing with legacy network infrastructures. This panel discussion delves into the complexities of data movement and aggregation necessary for the effective deployment of near real-time GenAI applications. We will explore the intricacies of handling sensitive data, the cost implications of data movement in public clouds, the issues arising from data silos, and the optimal network topologies needed to support GenAI. Our panel of experts will provide insights into balancing data movement costs, latency, computational expenses, and data protection to strategically position GenAI operations.
Agenda:
-Challenges of Data Aggregation and Movement:
- Discussing the difficulties in aggregating data from dispersed data stores for GenAI.
- The implications of data sensitivity and the reluctance to use public cloud data stores.
- The cost of data movement in public clouds and strategies to minimize data transfers.
-Overcoming Data Silos and Legacy Issues: Addressing the challenges posed by data silos and the limitations of legacy network topologies in supporting GenAI.
-Future-Proof Network Topologies for GenAI: Exploring the required network capabilities and topologies to support the demands of GenAI applications.
-Balancing Act: Cost, Latency, and Data Protection: Strategies to balance data movement costs, computational demands, latency, and data protection in the context of GenAI.
Who Should Attend: This session is designed for network engineers, AI researchers, data scientists, network architects, systems engineers, network operators, traffic management professionals, and anyone keen on the intersection of AI and network optimization.
Brian is responsible for the Services, Advisory, and Field Technical Functions in World Wide Technology’s Eastern Operations.
Most recently Brian was responsible for transforming and leading global technical operations, engineering, and architecture for a large UK Based Global Pharmaceutical as part of their Digital
Transformation across Operating Model, Agile Transformation, Infrastructure modernization, Cyber Uplift, Hosting and Cloud Transformation, End User Experience, Service Management, and FinOPs Agile Funding Executive team.
As a Client he also led JPMorganChase’s Global Network Engineering and Operations teams, where
his teams successfully deployed an industry leading private fiber WAN and drove a major global refresh and insourcing effort.
At Cisco Systems, Brian led the global sales and field engineering teams serving their largest clients and launched the Server Entry into those clients, also acting in the role of Corporate Engineering Liaison for all Data Center Products.Brian’s diverse experience and exposure as an executive in large tech companies, founder and leader of startup Tech and MedTech Device companies, advisor to multiple VC Tech companies, and as a non-profit Board member, has provided a unique view of the entire tech landscape including the funding, business, and operational vectors.
A father of 2, avid musician, former marathon runner turned cyclist, reader, and boating enthusiast,
Brian and his wife Mary, reside in the Cleveland Ohio Metro Area.
Miroslav has extensive experience in storage systems, system architecture, analytics, AI, and benchmarking. Miroslav loves both learning and teaching, and has translated those passions into helping organizations get value from innovative technologies. He’s proud to share the experience he has gained working with startups, hyperscalers, and top companies in the Storage industry. Much of Miroslav’s career has revolved around architecting technical solutions and performance — focused on systems and storage, and blending time with customers with time in the lab. He’s been at this for over 30 years now, with his first paid computer gig involving DOS batch scripts the summer before college.
Junhong Liu is the Network Automation Architect at Citi, where he oversees the architecture, technology, and innovation of emerging technologies. His key areas of interest include network automation, network segmentation, policy-as-code, and integrating AI into network systems.
Before joining Citi, Junhong held various technology and leadership roles at Ericsson, Nokia, and Cisco, including positions in development, architecture, and open source package owner.
Junhong holds a Ph.D. in Electrical Engineering from Tsinghua University in China.
A passionate technology leader, Jeff Fonke, leads new and growth solutions areas at World Wide Technology, including High-Performance Architectures that support AI and Data. With over 24 years of experience in the tech industry at WWT, he has a proven track record of building scalable data center architecture solutions within WWT’s own IT organization, WWT’s Advanced Technology Center, leveraging those experiences to help advance customers along their journey to simplify the complex.
