HALL 1 (Main) - Keynotes / Tech Talks

This session explores the challenges of designing and deploying custom ML solutions for unique business needs. We’ll cover tackling messy data, scalability, fairness, and integration issues, drawing from real-world project experience.
Learn strategies to align technical feasibility with stakeholder expectations and discover tools and best practices to streamline development. Whether you’re starting out or refining your approach, this talk offers actionable insights to build high-impact, scalable ML systems.

We are rapidly accelerating towards a future where humans and intelligent agents will be working side by side to perform business operations and deliver business and technology services. How will this work? What are some pitfalls and how do we manage the risks associated with them? Do we need to create new job functions? Is this a parallel alternate path to AGI?

Compete to recreate images through creative prompt iterations. Teams generate visuals using MachineHack AI Playground based on emcee-given prompts. The most accurate and imaginative design wins!

Witness a unique competition where a coder faces off against a non-coder armed with an AI tool like ChatGPT or Gemini. Who will win—human ingenuity or machine precision?

Build a help chatbot using RAG & LLM models to interact with structured datasets and a defined context. Put your AI development skills to the test!

This talk explores the evolution and capabilities of reasoning-focused large language models (LLMs) compared to traditional LLMs trained on next-word prediction. Traditional LLMs excel at in-context learning but struggle with complex reasoning tasks due to their design. New reasoning-optimized models, like Deepseek R1 and OpenAI’s o1, overcome these limitations through techniques like chain-of-thought reasoning and GRPO.

The session highlights practical use cases. Attendees will learn how to adapt prompts and workflows to maximize the potential of reasoning LLMs in coding, planning, medical diagnosis, and beyond.

This session will guide you through the process of building AI agents using Google Cloud’s Vertex AI platform. Learn about the latest tools and technologies like Agent Builder, Agentspace, NotebookLM, and Vertex Reasoning Engine, and see how they can be used to create AI agents for a variety of use cases. The session will cover everything from prototyping to production, including data preparation, model development, and deployment. You’ll also learn about best practices for building and deploying AI agents, including security, scalability, and performance. Whether you’re a beginner or an experienced AI developer, this session will give you the knowledge and skills you need to build and deploy AI agents on Google Cloud.

In this talk, Ayushman will delve into the evolving world of AI agents, focusing on practical techniques and strategies for enhancing their performance, accuracy, and reliability. By examining real-world case studies from diverse sectors—including legal, finance, healthcare, and retail— he will illustrate how Agentic AI systems are reshaping customer experiences and driving measurable business growth. Central to the discussion is a set of targeted approaches and scalable frameworks designed to bolster Large Language Model (LLM)-based agents. These methods promise substantial improvements across various metrics, empowering AI agents to deliver robust, value-driven solutions. The talk will also highlight the ever-growing significance of LLM agents in the technological landscape and their potential to become integral components of future digital experiences. Through these insights, Ayushman aims to provide attendees with actionable strategies and best practices to improve the effectiveness of AI agents in their own organizations, showcasing how the right blend of innovation, customization, and scalability can lead to transformative outcomes.

In this session, Chirag plans to present an Agentic viewpoint to coordinate between essential strategic components as agents in achieving business growth through an AI-focused approach. The session centers around the cooperative roles of AI Practitioners, AI Users, Business stakeholders, Legal teams, Infrastructure Management Groups, Cyber Security Groups, Responsible AI and Governance Committees, Partners, etc. The presentation stresses the significance of a strong legal framework for compliance and risk reduction, as well as the crucial role of Infrastructure Management and Cyber Security in protecting AI-driven projects. The Responsible AI and Governance Committee ensures ethical AI development and execution, with Business KPIs directing AI strategies to align with overarching organizational objectives. The session delves into the interdependent relationship between AI Practitioners and AI Users, highlighting the importance of effective training and collaboration to fully leverage the technology’s capabilities. Furthermore, strategic partnerships are underscored as essential for expanding AI capacities, fostering innovation, and realizing sustainable business growth. By cultivating a cohesive Agentic mindset and design patterns, businesses can tap into the combined strength of these strategic components to unleash the full potential of AI-powered growth and innovation.