HALL 2 - Workshops / Tech Talks

In an era of global connectivity, organisations face the challenge of balancing scalability with compliance. This session explores how cloud computing and DevOps practices can help businesses establish a global presence while reducing operational costs and managing compliance in-house. Drawing on real-world examples, we’ll discuss how to eliminate the need for dedicated resources and optimise efficiency. Gain insights into leveraging cloud and DevOps to enhance global infrastructure while maintaining robust security and operational agility.

Even the most advanced AI assistant falls short of its potential without the right context. In this workshop, we will uncover how to transform a standard AI model into a truly agentic system by integrating multiple data sources—both structured and unstructured.

Through real-world examples, we will build a conversational assistant that understands queries, incorporates essential organizational context, identifies the appropriate skill set, and provides accurate, actionable responses.

We will also tackle the practical realities of deploying such systems in production, sharing proven strategies to overcome challenges and ensure accuracy, reliability, and scalability in real-world applications.

Data is the backbone of Generative AI, yet traditional architectures struggle to meet the complex and dynamic demands of modern AI workflows. My talk will delve into cutting-edge data engineering approaches, including real-time streaming, distributed feature stores, and leveraging vector databases to handle the complexities of unstructured data. In addition, my talk will explore the critical roles of data management and governance in ensuring data quality, compliance, and security across the AI lifecycle.

Attendees will gain valuable insights into the design and implementation of robust data and AI governance frameworks—critical for maintaining data accuracy, reliability, and accessibility while adhering to industry regulations and organizational policies. These frameworks are essential for enabling organizations to develop AI systems that are both high-performing and responsibly governed.

To effectively measure AI product performance, it is essential to establish clear metrics that reflect the desired outcomes. Key performance indicators (KPIs) should encompass accuracy, efficiency, user satisfaction, and overall impact. Continuous monitoring and evaluation against these KPIs will help identify areas for improvement and optimize functionality. Furthermore, incorporating user feedback can enhance product relevance and adaptability. Ultimately, a comprehensive performance measurement strategy will drive the success and evolution of AI products.

By 2030, the role of traditional sales teams will be radically transformed—or even obsolete—thanks to the rise of Large Language Models (LLMs). These AI-powered tools are redefining how businesses connect with customers, blending advanced conversational capabilities with data-driven insights to streamline the entire sales process. This session will delve into the ways LLMs are automating lead generation, personalizing outreach at scale, and closing deals faster than ever, signaling the dawn of an AI-first era in sales. Join us to uncover how LLMs will shape a future where human sales efforts take a backseat to intelligent, automated systems.

This workshop delves into the transformative applications of Large Language Models (LLMs) in the financial sector, showcasing their use in risk management, fraud detection, automated reporting, and personalized customer experiences. Participants will explore LLM architectures, real-world case studies, and hands-on techniques to fine-tune models for financial tasks. The session also addresses regulatory challenges, ethical considerations, and deployment best practices in this highly regulated industry. Ideal for data scientists and tech leaders, the workshop equips attendees with actionable insights and practical skills to harness LLMs, driving efficiency and innovation in financial workflows.

As developers, we constantly learn and find ways to resolve bugs in software through various methods. Initially, our sources of knowledge were books, peers, and college teachers. Over time, we turned to online trainers, platforms like Stack Overflow, and informative articles.

As an online trainer (or YouTuber), I noticed that students often relied on us for guidance and problem-solving. However, with the advent of AI, students are now leveraging technology to resolve their issues and debug code independently.

In this evolving landscape, I believe educators have an even greater role to play. Our focus should shift toward equipping students with the skills to effectively utilize AI tools while fostering a deeper understanding of the principles behind them.

Discover how to create intelligent agents and multiagent systems using cutting-edge open-source technologies. This talk will explore various frameworks and best practices for building robust collaborative agents and attendees will gain insights into some real-world applications of multi-agent systems.

Among a lot of noise and news around data & AI, it would be pragmatic to look at what are the real solutions for real people. At Chargeup, we created last-mile Mobility solutions for EV drivers using data captured through IOT, and urn analysis on Assets and People and thus created unique AI/ML models for last-mile EV drivers. Watch this space for listening to “Real Solutions for Real People Solving Real World Problems.

In this presentation, we will explore the current challenges facing the supply chain industry and discuss the critical importance of leveraging data-driven insights to modernize operations. We will delve into the role of data, highlighting key strategies such as data integration, real-time analytics, and predictive and prescriptive insights, alongside the transformative impact of advanced technologies like Generative AI. Additionally, we will examine architecture best practices from the industry, showcasing real-world examples of how organizations have successfully implemented these strategies to drive efficiency and resilience. Attendees will gain a comprehensive understanding of how to harness data to enhance supply chain operations, with concrete insights into effective architectural frameworks and future trends that will shape the supply chain landscape.