India's Biggest developers Conference

This session explores the new technologies and domain opportunities that are expanding at a rapid pace, like Robotics, XR (Mixed Reality), Neural Interfaces, Genetic Engineering, and many more.

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.

Session will help you define the Platform features for a successful implementation of Ops for Data and identify the challenges

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.

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.

This session explores how deep learning, particularly CNNs and advanced architectures, is transforming medical imaging. Drawing on research from IIT Hyderabad, it covers applications in detecting diseases through X-rays, MRIs, and CT scans, enhancing diagnostic accuracy. Key topics include challenges in data preparation, interpretability techniques to improve transparency, and how AI integrates into clinical workflows to support radiologists. Ethical considerations and future directions, such as privacy-preserving federated learning, highlight the responsible deployment of AI in healthcare.

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.

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.

Artificial intelligence (AI) has transformed the gaming sector, therefore changing the scene of game creation and user experiences in quite remarkable ways. Supported by real-world examples and innovative technology pushing the frontier of what is feasible, this fascinating 25-minute talk will examine the several ways artificial intelligence is changing the gaming environment. First, we will look at how artificial intelligence generates lifelike, dynamic non-player characters (NPCs). Using the Nemesis System—where AI-driven NPCs remember player interactions, grow depending on those encounters, and provide individualized gaming experiences—games like Middle-earth: Shadow of Mordor This degree of character development lends hitherto unheard-of depth and player immersion. We will also go over how artificial intelligence algorithms in games such as Left 4 Dead change the intensity and timing depending on player performance, guaranteeing a fair and stimulating experience for all. AI in Procedural Content Generation: We will explore how AI helps create large, original gaming environments. For instance, No Man's Sky uses procedural creation to produce a complete universe with 18 quintillion planets, each with a different flora, fauna, and ecosystem. Driven by artificial intelligence, this method not only saves developers many hours but also maintains the exploring experience for gamers fresh and limitless. Moving forward, we will focus on how artificial intelligence (AI) improves gaming performance—more especially, by means of methods that maximize graphical authenticity and frame per second (FPS). Tools like NVIDIA's DLSS (Deep Learning Super Sampling) utilize AI to upscale lower-resolution photos in real-time, resulting in high-quality images without compromising FPS. Players can experience better performance and crisper images even on less capable hardware by rendering games at lower resolutions and effortlessly employing AI to upscale them. AI in graphics enhancement and upscaling is also changing the remastering of earlier titles. We will discuss how AI-driven upscaling methods have updated traditional games, thereby automatically improving graphics and resolutions. By allowing studios to revitalize classic films, this technology helps movies to be aesthetically acceptable for contemporary viewers without much physical work. Essential tools in game remastering now include AI-driven image reconstruction and texture augmentation. We will then discuss how Artificial Intelligence (AI) is influencing Virtual Reality (VR) gaming. Making engaging VR environments calls for artificial intelligence to instantly control intricate simulations and interactions. AI-driven systems, for example, forecast and maximize player movements, hence reducing motion sickness and improving virtual world realism. Furthermore, artificial intelligence enables virtual reality environments to replicate the physics and behavior of virtual objects, increasing their interactive and captivating nature. Games such as Half-Life: Alyx enhance the sense of presence and immersion by utilizing artificial intelligence to create intelligent and responsive NPCs that respond naturally to player actions. AI for Customized Player Experiences: We will also discuss how AI customizes experiences for unique players. Machine learning techniques analyze player behavior and preferences to create custom game material, quests, or difficulty levels. This guarantees a more intriguing and tailored experience, keeping gamers involved and entertained. Using artificial intelligence to examine real-world player data, titles like FIFA develop realistic motions and strategies for in-game sportsmen, therefore enhancing the general realism. At last, we will address how artificial intelligence simplifies game testing and development. Although testing games for flaws and performance problems is labor-intensive, artificial intelligence-driven bots can play games thousands of times, rapidly spotting problems and chances for optimization. By automating quality assurance using artificial intelligence, companies like Ubisoft speed up and more effectively create games while raising general game quality. Attendees will leave with a thorough awareness of how artificial intelligence technologies, including procedural generation, dynamic difficulty adjusting, real-time upscaling, and VR optimizations, are changing game production. Investigating these useful applications will help developers understand how to use artificial intelligence to produce more immersive, efficient, and customized gaming experiences, therefore generating fresh opportunities for gaming industry innovation. This enlarged overview covers artificial intelligence's effects on VR gaming, upscaling, and FPS, therefore providing MLDS 2025 with a complete and fascinating subject. Tell me whether this meets your needs or whether you would want to add anything additional.

This talk explores the transformative role of agentic AI in the finance sector, highlighting its impact on trading, risk management, fraud detection, and personalized financial services. We will discuss how AI systems analyze vast datasets to enhance decision-making and improve operational efficiency, while also addressing the ethical considerations and challenges posed by their deployment. As financial institutions increasingly rely on AI-driven solutions, understanding both the opportunities and risks is crucial for navigating this rapidly evolving landscape. Join us to discover how agentic AI is shaping the future of finance and what it means for businesses and consumers alike.

In this talk, I will provide an overview of quantum algorithms, focusing on key areas like Quantum Machine Learning (QML), Quantum Optimization (QO), and Quantum Simulation (QSim). I'll also introduce Bloq Quantum's role in simplifying quantum adoption and discuss the broader quantum software landscape. We'll explore the leading quantum cloud platforms, including AWS, Azure, GCP, and IBM, comparing their offerings and the impact of cloud on the future of quantum computing.