Jindu Cherian,
Head of ASEAN Migrations and Modernization Solutions Architecture, AWS 

Topic: Building and Scaling — Modernization Strategy   

Abstract: You have completed your cloud migration, now what?  Across industries, our customers are aspiring towards becoming more agile and focusing on innovation. In this session, we will discuss the pillars of modernization, defining your modernization journey, and using modernization pathways to accelerate your roadmap. We will share lessons learned, patterns, and customer examples who have achieved elite modernization metrics.

Sibu Kutty
WW Tech Leader, Migration & Modernization, AWS

Topic: From Cloud to Ai – The Next Leap  

Abstract: Like the move from on-premises to cloud computing, Ai migration is setting the stage for a revolution in how businesses operate and innovate. Let’s trace the tech evolution – From physical servers (pets) to clouds (cattle) and beyond (?). Learn how Ai is fueling more cloud migrations and learn all the opportunities in front of you to enrich the current migration methodology & tools with Ai. (And enrich yourself too:) 

Charnsilp Chinprasert,
Chief Innovation Officer, NIPA Cloud

Topic: From Stormy to Sunny: Lessons Learned Implementing DevOps in Public Cloud   

Abstract:

As organizations embark on their cloud journey, they often encounter unexpected challenges that can make the transition feel like a stormy weather. Implementing DevOps in public cloud can be a game-changer, but it requires careful planning, execution, and cultural shift. In this presentation, we will share our lessons learned from navigating the stormy weather of DevOps implementation in public cloud and emerging into the sunny skies of success. 
 
We will cover: 

• • Common pitfalls and misconceptions when implementing DevOps in public cloud 
  • Strategies for building a strong foundation in cloud security, governance, and compliance 
  • Best practices for automating workflows, continuous integration, and continuous deployment 
  • Techniques for fostering a culture of collaboration, experimentation, and continuous learning 
  • Real-world examples and case studies of successful DevOps implementation in public cloud 

Join us on this journey as we share our experiences, insights, and takeaways from implementing DevOps in public cloud. Learn how to navigate the challenges and reap the benefits of increased agility, productivity, and innovation in your organization. 

Bernd Vindevogel, Co-founder and CEO, ArcFusion

Topic: Strategic Use of Generative AI in Enterprise: Optimizing Costs and Capabilities    

Abstract:

Enterprise generative AI (GenAI) is not just about deploying a single large language model (LLM), but rather configuring a team of agents that play to their individual strengths. This presentation will explore the benefits of a multi-agent approach, using real-world examples to illustrate how different LLMs can be combined to achieve superior results. We will also discuss the crucial role of strategy in determining which LLM to use for each agent, and how this decision impacts costs. Learn how to maximize the potential of enterprise GenAI while minimizing expenses. 

Thitipat Jirakarnjanakorn,
Sr Systems Engineer, Juniper Networks 

Topic: AI/ML cluster DC solution   

Abstract:
In an age marked by the rapid integration of Artificial Intelligence (AI) and Machine Learning (ML) into every facet of our digital landscape, the data center has emerged as the linchpin of innovation. As we stand on the precipice of an era where AI and ML workloads are poised to reshape industries, it is imperative to revolutionize the way we conceive and construct data centers. Welcome to “The Generative AI and The Future of Cloud and Data-Center.” 

This presentation, delivered by Thitipat Jirakarnjanakorn, a distinguished Senior Systems Engineer at Juniper Networks, will unravel the intricacies of redefining data center design to align with the evolving demands of AI and ML workloads. The journey begins with an exploration of the seismic shifts brought about by AI and ML, elucidating the necessity of embracing containerized workloads, distributed high-speed memory read/write capabilities, and storage protocols over IP/Ethernet. 

Central to this transformation is the standardization of 800Gbps and 1.6Tbps connections within data centers. Thitipat will delve into the technical intricacies and profound implications of these bandwidth milestones, providing insights into how they will shape the architecture of data centers and their ability to meet the burgeoning demands of modern workloads. 

Through real-world examples, case studies, and a forward-looking perspective, this presentation will equip service providers and network operators with a comprehensive roadmap for designing data centers that are not only ready for the AI and ML revolution but are also primed to exceed industry standards in terms of connectivity and performance. 

Pascal Geenens
Director Threat Intelligence, Radware

Topic: Past, Present and Future of AI in Security

Abstract: Artificial Intelligence (AI) has become a dual-edged sword in the realm of security, revolutionizing defense mechanisms while also empowering threat actors with sophisticated tools. This presentation aims to provide a comprehensive overview of AI’s role in security, exploring its historical evolution, current applications, and future trajectories, with a specific focus on the use of AI by both defenders and attackers. 

The initial segment of the presentation will delve into the historical aspects of AI in security, highlighting key technological milestones and the foundational theories that have shaped its current applications. This will include a review of how AI was first adopted in security measures and how its capabilities have expanded over time. 

In discussing the present scenario, the focus will shift to the dual use of AI. We will explore how AI technologies like predictive analytics, facial recognition, and anomaly detection are employed to enhance cybersecurity. Concurrently, the presentation will examine how threat actors are leveraging AI for malicious purposes such as automating attacks, crafting sophisticated phishing campaigns, and evading detection systems. 

The future-oriented section will speculate on the advancements in AI and their implications for security practices. This will involve a discussion on emerging technologies and the anticipated arms race in AI between security professionals and threat actors.

Joseph Glanville, Principal Engineer, Glide Apps

Topic: Platform Engineering: Building for Scale

Abstract: A tour through the engine room of the modern highly scalable technology organization.  From startups to Fortune 500, Platform Engineering has transformed the way organizations scale technology teams while maintaining agility, velocity and improving cost-effectiveness. We will cover practical insight from the trenches, how, when, and why to adopt Platform Engineering, key considerations, potential pitfalls and emerging trends among high performing Platform teams.