HALL 1 (Main) - Keynotes / Tech Talks

Kumar Varun is an Indian stand-up comedian, actor, writer and quizmaster. He is known for his roles in the comedy sketches of All India Bakchod, as the co-founder of the comedy collective Random Chikibum, which won the OML Comedy Hunt.

Deep networks are magical! But what is it about having multiple layers and billions of weights that leads them to doing this magic? In this talk, I will help you build intuition about how classical ML and deep learning differ, and why deep networks have taken over the world. We don’t yet have full theoretical understanding of why deep networks generalize well, but we have some hints. By the end of this talk, you’ll have a deeper appreciation about deep learning (maybe some pun intended!)

Data observability builds upon the principles of Infra/Software observability as well as practices of SRE to address nuanced challenges thrown in by modern data-driven systems. In this talk we explore the foundational concepts of Data observability and the landscape of multi-tenanted Data/AI products and additional requirements needed from observability. We delve into the specific challenges posed by multi-tenancy, including tenant-specific processing pipelines, usage patterns, data lineage, operational complexities, and the management of comprehensive data catalogs. Furthermore, we discuss the impact of evolving privacy regulations and compliance requirements, which underscore the necessity for robust, tenant-aware monitoring and auditing capabilities. Finally, we examine emerging trends, including AI-driven observability solutions, that are shaping the future of data reliability and scalability. These innovations aim to address the intricacies of multi-tenant environments while ensuring performance, transparency, and compliance at scale.

This talk explores how Generative AI and advanced machine learning techniques can revolutionize software engineering practices to build a learning organization. By leveraging structured and unstructured datasets, Generative AI enables predictive modelling, optimization, and continuous improvement.

The presentation focuses on leveraging Generative AI (Gen AI) to drive transformative business strategies by aligning technology adoption with real-world applications. It highlights how Gen AI can address challenges such as content creation, customer engagement, product discovery, and operational inefficiencies, while emphasizing the importance of KPI-driven outcomes and actionable insights. The approach is human-centric, ensuring inclusivity through multilingual, multi-platform, and omni-channel support. By showcasing various case studies, the presentation demonstrates significant improvements in customer satisfaction, operational efficiency, and revenue generation. Ultimately, it underscores the potential of Gen AI to create value-driven, scalable solutions that enhance customer interactions and drive business growth.

The rise of AI is reshaping the programming landscape, presenting both challenges and opportunities for developers. In a country like India, where the middle class has been largely built on the IT services industry, this shift carries significant implications.
In this session, Tanay Pratap will explore how AI will impact the role of programmers and the broader tech ecosystem. He’ll share insights on:

How to be a better programmer with AI: Leveraging AI tools to automate repetitive tasks, enhance productivity, and focus on creative problem-solving.
How to build AI-powered apps: A practical guide to using AI services to create next-generation applications that are intelligent, efficient, and user-centric.
The session will also discuss how programmers and tech professionals in India can adapt to this new paradigm, ensuring they remain relevant and competitive in an AI-driven world. This talk is for developers, entrepreneurs, and tech enthusiasts who want to embrace the future of programming with confidence and purpose.

Join us as we delve into how Wakefit, India’s leading sleep and home solutions company, has transformed its business using cutting-edge technologies like Artificial Intelligence (AI), Machine Learning (ML), and Generative AI. This talk will showcase real world learnings on harnessing the power of these innovations to revolutionize both product offerings and customer experiences.

We will explore how we leverage AI/ML algorithms to optimize demand planning and streamline fulfillment processes. By analyzing customer purchase data, AI algorithms predict product demand, allowing the company to make informed decisions on inventory levels. This strategic approach avoids both overstocking or stockout and helps to ultimately drive business efficiency.

In addition, we will showcase real-world learnings from implementing GenAI to elevate the customer experience while reducing operational costs and increasing contact center efficiency. With this technology, Wakefit is redefining its customer interactions, resulting in a more personalized and seamless experience for its customers.

GenAI is real. Business transformation using GenAI is also real. It is powerful and pervasive. But a disruptive technologies like GenAI cannot be devoid of issues and more so on biases and ethics. This session is to bring awareness on some of the biases and ethical issues.

Generative AI is no longer just for experts—Low-Code/No-Code platforms are revolutionizing how AI is built and deployed, empowering anyone to create impactful solutions without writing a single line of code. This session unveils how these tools are breaking barriers, enabling faster innovation, and driving inclusivity in AI adoption. Through real-world examples and actionable insights, discover how to harness the power of GenAI to transform industries and democratize innovation for the masses.

Statistically more than 50% data science problem fails to get implemented successfully in real business scenario. This is especially more in case of Indian traditional business houses. More than the solution approaches, major reasons for this failure are – lack of explain ability to business stakeholders and lack of knowledge on bringing human factors from the actual execution team. This session will talk about how a comprehensive ML based solution is developed and successfully implemented in real business scenario with demonstrated value benefits.