Schedules

Event Schedule 2022

We are in the process of finalizing the sessions for 2023. Expect more than 30 talks at the summit. Please check back this page again.

19-20th Jan 2023. Bangalore, India

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  • Day 1

    Feb 5, 2025

  • 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.
    HALL 1 (Main) - Keynotes / Tech Talks

  • This research work tackles the challenge of accurately categorizing customers for retailers to enable precise, targeted marketing strategies. It introduces an innovative method leveraging Large Language Models (LLMs) to analyze purchase data and identify key product categories, such as baby food or eldercare items, revealing household compositions like families with kids or elders. By integrating historical behavior with LLM-based classification, the approach enhances life stage segmentation, improving customer targeting, sales, and retention. The research paper details the data sources, model architecture, and evaluation metrics used in this segmentation.
    HALL 3 - Tech Talks / Paper Presentations

  • Turning Insights into Energy Savings using Generative AI, unlock the performance of Buildings with real-time data visibility. A single pane of glass with advanced analytics, visualization and controls, accelerates operational outcomes, meets certification and regulatory compliance needs while ensuring data security and privacy. Driving Toward Autonomous Buildings.
    HALL 2 - Workshops / Tech Talks

  • 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.
    HALL 1 (Main) - Keynotes / Tech Talks

  • Pixie is a framework designed to improve digital marketing through a context-aware, multi-agent large language model (LLM). It supports real-time and offline marketing, using multimodal LLMs for enhanced reliability and performance. Pixie features a primary orchestration agent that coordinates workflows and task-specific agents that perform specialized tasks. By combining various learning techniques and marketing insights, the framework enhances decision-making and operational efficiency. It was tested for accuracy, consistency, and domain-specific problem-solving, showing improved performance in tasks like root cause analysis, campaign planning, and reporting.
    HALL 3 - Tech Talks / Paper Presentations

  • 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?
    HALL 1 (Main) - Keynotes / Tech Talks

  • This workshop serves as a holistic learning guide for Google's Gemini Multimodal Live API. Through a structured, hands-on approach, you'll learn how to build sophisticated real-time applications that can see, hear, and interact naturally using Gemini's multimodal capabilities. We will also explore enterprise-grade implementation of the same using Vertex AI.
    HALL 2 - Workshops / Tech Talks

  • This research details the creation of an innovative biomedical chatbot aimed at improving patient question-answering. It employs a mixture of expert models—fine-tuning one LLaMA3 on patient-doctor interactions and another on general biomedical datasets—and combines them via a router. A vector database supports Retrieval-Augmented Generation (RAG) for accurate, context-aware responses. Rigorous evaluation across biomedical datasets highlights its ability to enhance patient engagement and healthcare delivery, showcasing the transformative potential of generative AI in medicine.
    HALL 3 - Tech Talks / Paper Presentations

  • Large Language Models (LLMs), trained on extensive internet-scale datasets, demonstrate exceptional performance across diverse tasks. Yet, they often fall short when it comes to grasping the unique nuances of organizational data. As a result, standard LLMs frequently require human intervention to deliver accurate, business-specific insights. Join us for this Tech Talk as we dive into the world of LLMs. Explore the challenges LLMs face with business-specific contexts and how we can make them more effective. Discover strategies for integrating organizational context into models, examine how LLMs utilize this enhanced information, and uncover its transformative impact on the accuracy and specificity of their responses.
    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.
    HALL 1 (Main) - Keynotes / Tech Talks

  • In this talk, we explore the remarkable journey of a young, dynamic team at the Indian Space Research Organisation (ISRO) as they pioneer Artificial Intelligence solutions for both space and terrestrial applications. We delve into the unique challenges of deploying AI systems in orbit—from creating robust models that function in extreme conditions to ensuring reliable decision-making under stringent resource constraints. On Earth, these innovations fuel breakthroughs in advanced computer vision—ushering in new standards for space exploration and satellite technology. We also highlight GYAAN, an outstanding AI Assistant that reaches millions of users including students in Bihar, demonstrating how ISRO’s AI-driven achievements directly contribute to India’s growth. Throughout this session, we reveal the step-by-step innovation process—identifying mission-critical needs, deploying generative AI for research and development, and implementing health-monitoring solutions for space missions.. We examine the successes, lessons learned, and evolving strategies that will shape ISRO’s AI-driven future. This journey of experimentation, perseverance, and creative problem-solving offers invaluable insights for any organization looking to harness AI for impact on Earth and beyond.
    HALL 3 - Tech Talks / Paper Presentations

  • 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!
    HALL 1 (Main) - Keynotes / Tech Talks

  • This research explores AI Twins, lifelike digital avatars enabling real-time interaction through advanced AI-driven speech synthesis, expressions, and contextual understanding. It compares two implementations: a closed-source system utilizing tools like Synthesia and Eleven Labs for high-quality video and audio, and an open-source alternative with Nvidia Riva, Nemotron LLM, Wav2Lip, and Sadtalker for speech and lip-sync. Both use Retrieval-Augmented Generation (RAG) and AI Agents for enhanced domain intelligence, offering applications in personalized education, training, customer support, and virtual companionship.
    HALL 3 - Tech Talks / Paper Presentations

  • 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.
    HALL 3 - Tech Talks / Paper Presentations

  • Videos are everywhere. Over 90% of the content consumed online (by time spent) are videos. Yet, video transcoding is a little understood process in digital media production, streaming, and content distribution. We will dive deep into the technical intricacies and practical methodologies of efficient video encoding and come up with a comprehensive strategy for optimizing video transformations. We will explore the fundamental principles of video compression, including codec mechanics, container formats, and the complex trade-offs between file size, visual quality, and computational complexity. The talk will systematically break down the encoding landscape, covering key technologies like H.264, HEVC, AV1, and emerging standards, and demonstrate how to select the right approach for specific use cases ranging from long form web streaming to short form reels.
    HALL 2 - Workshops / Tech Talks

  • 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.
    HALL 1 (Main) - Keynotes / Tech Talks

  • The session will explore the concept of agents, delving into what they are and their potential applications. It will provide insights into when agents should and should not be used, as well as guidance on utilizing agentic frameworks effectively. Participants will learn about agentic workflows and design patterns, complemented by real-world business case studies to demonstrate their practical impact and value.
    HALL 3 - Tech Talks / Paper Presentations

  • 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.
    HALL 2 - Workshops / Tech Talks

  • 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.
    HALL 1 (Main) - Keynotes / Tech Talks

  • A big agentic switch is happening globally due to AI (artificial intelligence), whereby consumers and enterprises are switching to AI agents for task completion in an autonomous way. This paradigm shift due to AI is leading to the proliferation of AI agents in enterprises requiring innovative agent network architectures for better discovery, communication and security of these agents. Here we present a novel agent network architecture where we introduce innovative concepts like agent registry, agent name server, agent text transfer protocol (ATTP), agent private cloud and agent gateway. Quite a lot of parallels have been drawn from the current world wide web (www) Internet architecture, where similar components exist to support discovery, security and communication.
    HALL 3 - Tech Talks / Paper Presentations

  • Many companies are turning to agentic workflows to automate tasks and improve efficiency. But does working multi-agent workflow mean you have a system ready for real- world production? Not quite! Building reliable multi-agent systems comes with challenges—balancing autonomy, managing orchestration, and defining a scalable service architecture. In this session, we’ll uncover the pitfalls of deploying multi-agent workflows at scale and explore best practices for fault tolerance, coordination, and real-world deployment. Ready to move beyond experiments and into production? Join us to navigate the complexities and build truly robust agentic workflows!
    HALL 2 - Workshops / Tech Talks

  • Advanced data transformations accelerators, such as data lineage powered by GenAI are becoming increasingly critical, as industries prioritize data modernization, transitioning from traditional legacy systems to advanced data technologies. This paper delves into the application of LLMs in tracing the data lineage. We will share our direct experiences in addressing the issues, obstacles encountered and the effective strategies we implemented to overcome them. The proposed approach offers several advantages, including improved efficiency, accuracy, reliability and enhanced data security by keeping data knowledge within the enterprises cloud environment. The approach involves custom chunking strategies, hybrid semantic and vector search capabilities, selection of embedding model. Overall, this paper presents an efficient and secure solution for accelerating data lineage task leveraging LLMs.
    HALL 3 - Tech Talks / Paper Presentations

  • With AI applications, infrastructure, and tools getting rolled out at scale, it is important that we focus on the security and privacy around building, deploying, using and governing these applications. My talk will focus on both the technical information security aspects- (vulnerabilities in AI applications and associated tech stacks, treatment/mitigation strategies, proactive, detective and reactive security engineering aspects) and also from the GRC- governance, risk, compliance/legal aspects of both the security and privacy elements.
    HALL 1 (Main) - Keynotes / Tech Talks

  • 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.
    HALL 2 - Workshops / Tech Talks

  • In a world where over 90% of internet users speak languages other than English, the potential for growth lies in inclusivity. This talk will explore how AI is bridging the gap for over a billion users by transforming content into native languages at scale. I Himanshu Sharma, Co- Founder of Devnagri, will share insights on how neural machine translation, voice bots, and foundational language models are reshaping industries—creating opportunities for businesses to connect deeply with regional audiences. Dive into the future of AI-driven localization and learn how innovation is turning barriers into bridges for global communication.
    HALL 3 - Tech Talks / Paper Presentations

  • Edge computing is revolutionizing earth observation (EO) by enabling satellites to process data directly in orbit, reducing reliance on ground stations for time-sensitive applications. This talk will highlight the benefits of edge computing for earth observation, such as reduced data transfer costs, faster response times in critical scenarios like disaster management, and real-time insights for sectors like agriculture and defence. In September 2023 KaleidEO demonstrated on-orbit processing on EO satellites, showcasing real-time analytics capabilities like change detection and applications for vegetation, forestry and environmental monitoring. By enabling instantaneous data processing, edge computing ensures that actionable intelligence reaches decision-makers without delay, fostering more effective responses to natural disasters, better resource management, and stronger national security. The edge computing innovation for EO marks an important evolution in the traditional approach, unlocking unprecedented potential for near real-time, data-driven, diversified applications from space.
    HALL 1 (Main) - Keynotes / Tech Talks

  • 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.
    HALL 2 - Workshops / Tech Talks

  • In this session, I'll dive deep into the technical challenges and solutions in building enterprise-grade speech AI systems that power content globalization. We'll explore how Dubverse has developed and scaled speech foundation models, including text-to-speech, speech-to-speech and speech-to-text technologies. I'll share insights on optimizing model throughput, handling low-resource languages, and building robust APIs. The talk will cover practical approaches to solving critical problems in voice technology, making it relevant for developers working on speech, audio, or multilingual applications.
    HALL 3 - Tech Talks / Paper Presentations

  • In this session, I will explore how intelligent training data pipelines are the key to scaling computer vision AI effectively. Imagine the challenge of needing millions of accurately labeled images for a reliable AI model—without the right infrastructure, this can become a bottleneck. I will deep dive into how intelligent pipelines, driven by automation technologies like AI-assisted labeling and active learning, replace tedious manual workflows, drastically boosting efficiency and data quality. Through real-world examples, I will showcase how these pipelines can accelerate annotation processes and improve model accuracy. Engineers will leave with actionable insights on implementing semi-supervised labeling, quality checks, and advanced tools to jumpstart their AI projects with smarter data pipelines.
    HALL 1 (Main) - Keynotes / Tech Talks

  • OPEA Empower enterprises to develop and deploy GenAI solutions through an open ecosystem focused on security, scalability, cost efficiency, and agility. The platform offers a detailed framework of composable building blocks, architectural blueprints for retrieval-augmented workflows, and a comprehensive four-step assessment to evaluate performance, features, trustworthiness, and enterprise readiness of generative AI systems. This session will quickly introduce the listeners with OPEA.
    HALL 2 - Workshops / Tech Talks

  • Session will help you define the Platform features for a successful implementation of Ops for Data and identify the challenges
    HALL 3 - Tech Talks / Paper Presentations

  • 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.
    HALL 1 (Main) - Keynotes / Tech Talks

  • Day 2

    Feb 6, 2025

  • As organizations increasingly embrace AI to drive actionable insights and automate workflows, the initial excitement around the technology gives way to a focus on delivering tangible value. This shift has placed the spotlight on deploying Large Language Model (LLM) applications in production environments. MathCo’s experience across diverse use cases has shown that a successful AI strategy requires more than cutting-edge foundational models. It demands a strong foundation built on high-quality data, thoughtful design, business context, rigorous testing, and effective change management. In this session, Sourav Banerjee will explore the essential building blocks of enterprise assistants, with compelling examples from the healthcare and consumer packaged goods (CPG) industries. He will delve into their evolution from prototypes to production, uncovering the challenges and strategies to overcome them.
    HALL 1 (Main) - Keynotes / Tech Talks

  • This research work presents a dynamic few-shot prompting approach with self-consistency to improve Text2SQL accuracy using large language models (LLMs). By categorizing and masking irrelevant information in few-shot examples, the method enhances contextual understanding and scalability across domains. Utilizing similarity-based dynamic example selection and self-consistency, the approach achieves ~94% accuracy on 1,100 queries, demonstrating its effectiveness in generating precise SQL queries from natural language inputs.
    HALL 3 - Tech Talks / Paper Presentations

  • 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.
    HALL 2 - Workshops / Tech Talks

  • Generative AI (GenAI) is revolutionizing software development and business operations, driving unprecedented productivity and innovation. In software development, GenAI is automating coding, testing, and optimization processes, accelerating development cycles and reducing technical debt. It enhances developer productivity by 20-50% through automated code generation and intelligent debugging, allowing professionals to focus on complex problem-solving. For businesses, GenAI is transforming operations through enhanced natural language processing, multimodal AI, and personalized customer experiences. The economic impact is substantial, with GenAI projected to contribute $6.1 to $7.9 trillion annually to the global economy. Despite challenges like potential job displacement, GenAI is creating new opportunities, with 97 million new jobs projected by 2025, reshaping industries and unlocking new frontiers of innovation. This talk will explore how GenAI is not just an incremental advancement, but a paradigm shift that is redefining the very nature of software development and business operations, unlocking new frontiers of possibility in the digital age.
    HALL 1 (Main) - Keynotes / Tech Talks

  • This research work presents an approach to tackling a core challenge in designing a robust e-commerce search system for over 10 million stock-keeping units (SKUs). The system employs AI models (OpenAI, Llama 3) for three major functions: categorization, tagging, and semantic searching using vector embeddings. Categorization refers to classifying incoming information from different third parties into a taxonomy essential for data accuracy and standardization. Tagging aids search by linking relevant tags for easier SKU filtering. Lastly, vector search, using Elastic Search and cosine similarity, enables efficient searches and retrieval of relevant information. To enhance tagging and categorization accuracy, mathematical models using embeddings and cosine similarity were applied to reduce hallucination effects.
    HALL 3 - Tech Talks / Paper Presentations

  • 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.
    HALL 1 (Main) - Keynotes / Tech Talks

  • This research introduces an innovative taxpayer risk prediction approach leveraging Large Language Models (LLMs). Taxpayer data is transformed into detailed natural-language profiles, enabling fine-tuning of pre-trained LLMs for precise and nuanced risk assessment. Unlike traditional methods, this approach identifies hidden patterns, offering deeper insights into taxpayer behavior. Preliminary results show improved accuracy and decision-making capabilities for financial departments. The research emphasizes the transformative potential of LLMs in modernizing fiscal oversight and ensuring effective governance amid evolving financial landscapes and taxpayer risks.
    HALL 3 - Tech Talks / Paper Presentations

  • Dive into the world of multi-agent systems and learn how to build them from the ground up using Google's Gemini AI models. This hands-on workshop will guide you through essential design patterns and architectural components for creating robust, scalable multi-agent applications. Using a unified Gemini SDK compatible with both Google AI Studio and Vertex AI, we'll implement features like function calling, structured output, tool integration, and real-time web search to augment Gemini's capabilities. You'll gain practical experience by developing a research-focused multi-agent system that leverages these features, together with the ability to structure data output in Pydantic format, to generate an in-depth market analysis report for the Electric Vehicle (EV) industry. This workshop is ideal for developers and researchers seeking to master the art of building sophisticated AI-powered systems with Gemini.
    HALL 2 - Workshops / Tech Talks

  • 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.
    HALL 1 (Main) - Keynotes / Tech Talks

  • 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.
    HALL 1 (Main) - Keynotes / Tech Talks

  • Introduction to Augmented Analytics Key Features of Augmented Analytics in Digital Product Industry tools used in Augmented Analytics Use cases of Augmented Analytics in Adtech, OTT industries.
    HALL 3 - Tech Talks / Paper Presentations

  • 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!
    HALL 1 (Main) - Keynotes / 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.
    HALL 2 - Workshops / Tech Talks

  • This research work explores transitioning from third-party to in-house open-source OCR solutions to cut costs, improve data security, and enhance flexibility. The solution integrates barcode/QR code detection and supports 1D and 2D formats. It powers downstream applications like Retrieval-Augmented Generation (RAG) and text summarization, ensuring efficient processing. Standardized APIs reduce development time and integration complexity. Key strategies include framework selection, image optimization, and multilingual support. The approach improves cost-efficiency, privacy, and scalability while enabling advanced AI applications.
    HALL 3 - Tech Talks / Paper Presentations

  • Developing generative AI-powered voice agents is typically a complex and time-consuming process, often taking weeks or even months. This session introduces a groundbreaking platform that shatters those barriers, enabling you to deploy sophisticated voice agents in just 24 hours. Discover how this revolutionary technology empowers you to rapidly create and customize intelligent voice experiences, transforming the way you interact with your customers.
    HALL 1 (Main) - Keynotes / Tech Talks

  • This research work presents a Generative AI framework for automated digital ad creation, addressing challenges in photorealism and product-background transitions. It proposes a three-step solution tailored to the advertising industry: (a) improved image preprocessing with Canny Edge Detection for precise inpainting, (b) optimized parameter settings for Stable Diffusion ControlNet to generate high-quality images, and (c) a customization module for templates, fonts, and text. The framework streamlines ad creation, enhances visual quality, and reduces costs, offering a practical tool for designers.
    HALL 3 - Tech Talks / Paper Presentations

  • Generative AI is changing the game for digital marketing, offering new ways to engage with audiences and create personalized experiences. In this session, we’ll dive into how AI is helping brands generate dynamic content, automate tasks, and craft smarter marketing strategies. From AI-driven ad designs to tailored customer experiences, we’ll explore how this technology is enabling marketers to work faster, more efficiently, and more creatively. Through real-world examples, you’ll see firsthand how Generative AI is revolutionizing digital marketing, offering a powerful tool for driving results and connecting with customers on a deeper level.
    HALL 2 - Workshops / Tech Talks

  • Organizations are overwhelmed by vast amounts of unstructured data—about 80% of enterprise information exists in formats like documents, emails, images, and PDFs. This untapped resource holds immense potential but remains challenging to process and analyze. Traditional data pipelines struggle with unstructured data, but Generative AI (GenAI) and Large Language Models (LLMs) offer transformative solutions. This workshop will guide you through integrating GenAI into your data pipelines. We'll address the challenges of unstructured data, explore how LLMs can help, and provide hands-on experience with OCR technology for AI ingestion. Whether you're a data engineer, machine learning enthusiast, or IT professional, this workshop offers valuable insights and practical skills to enhance your data infrastructure.
    HALL 3 - Tech Talks / Paper Presentations

  • Generative AI is transforming life insurance customer service by boosting efficiency and personalisation. From intelligent virtual assistants assisting customers 24*7 to seamless claims settlement process, AI is everywhere. It analyzes vast customer data to offer personalized policy recommendations, increasing satisfaction and loyalty. Additionally, Generative AI enhances risk assessment accuracy, simplifies underwriting processes, and produces engaging content. Despite challenges in regulatory compliance and data security, AI strengthens compliance measures and safeguards data, heralding a transformative impact on the industry.
    HALL 1 (Main) - Keynotes / Tech Talks

  • This research work presents an advanced solution to streamline the tendering process for engineers by automating Single Line Diagram (SLD) and technical specification processing. Traditional manual methods are inefficient and error-prone. The proposed system integrates OCR with a rule-based engine to extract critical SLD information, including component types and connections. Additionally, an LLM-based approach processes technical specifications, extracting data like requirements and compliance standards. This automation reduces manual effort, enhances accuracy, and accelerates tender responses, enabling engineers to prioritize strategic tasks.
    HALL 3 - Tech Talks / Paper Presentations

  • In today’s rapidly evolving digital landscape, organizations face immense pressure to modernize legacy systems and remain agile. Architectural Practices Driving Successful Digital Transformation: Key Strategies and Best Practices is a session designed for developers and architects looking to harness powerful architectural techniques to guide transformation efforts effectively. This talk will focus on how Domain-Driven Design (DDD) can address the biggest challenge in large enterprises: transforming legacy systems. Attendees will learn why DDD is crucial for structuring complex business domains and enabling sustainable modernization. Key topics include: 1. Improve Your Business with Domain-Driven Design: An exploration of why DDD is invaluable in tackling legacy system transformations, helping enterprises evolve by aligning software with business needs. 2. Map Your Business Landscape: A dive into Strategic DDD, where we’ll uncover techniques for collaboratively identifying domains and subdomains, ultimately creating a domain chart that captures your business's core functions. 3. Visualize Your Business as a Software Model: We’ll translate business needs into a tactical DDD model, showing how to create building blocks that represent your business in software, using domain models to connect business vision and software implementation. 4. DDD Modeling Process: This section outlines an iterative approach to DDD modeling, ensuring that developers and stakeholders refine models continuously as business needs evolve. 5. Design Artifacts: Key Deliverables: An overview of the essential artifacts architects need to produce during the DDD process, highlighting how these artifacts drive clarity, facilitate communication, and support project alignment. 6. High-Level Architecture Modernization Stages, Tools, and Techniques: We’ll break down the stages of legacy system modernization, discussing tools and techniques suitable for each phase to achieve effective and streamlined transformation. Join us to gain a practical understanding of these architectural practices, enabling your team to lead successful digital transformations by building systems that are both adaptable and robust.
    HALL 1 (Main) - Keynotes / Tech Talks

  • The emergence of Agentic AI is ushering in a new era in workplace transformation, as generative AI moves beyond traditional support roles to become fully autonomous digital workers capable of independently analyzing, generating insights, and making complex decisions. Unlike earlier AI systems that relied on direct human commands, Agentic AI operates with a high degree of autonomy, taking initiative in completing tasks and managing workflows with minimal intervention. This capability not only reduces the administrative burden on human teams but also enhances the speed and accuracy of data-driven decision-making, positioning organizations to be more agile and competitive. Studies highlight the profound impact of this transition. For instance, a recent survey found that nearly 80% of companies integrating AI agents have seen a 30% increase in operational efficiency and a 25% reduction in repetitive tasks. According to McKinsey, organizations adopting generative AI in customer service experience a 20-40% improvement in response times and customer satisfaction. Additionally, Gartner projects that by 2030, Agentic AI will handle nearly 50% of routine enterprise tasks, enabling companies to redeploy human resources toward creative and strategic functions. The implications are vast. From intelligent document processing to conversational AI assistants that streamline customer interactions, Agentic AI is changing the landscape of industries like finance, healthcare, retail, and beyond. This shift not only drives productivity but fosters a workplace environment where employees can focus on higher-value contributions, innovation, and problem-solving. With Agentic AI at the forefront, workplaces are poised to evolve into hubs of collaboration where AI and human capabilities seamlessly integrate, redefining what’s possible in the future of work. At Vodex, We have been at the forefront of this transformation, pioneering solutions that bridge the gap between human-centric workflows and intelligent automation. Our global impact lies in fostering seamless integration of Agentic AI, which not only empowers businesses to scale but also ensures ethical, adaptable, and resilient implementations that respect the human experience at work. Through tailored approaches and scalable frameworks, Vodex has established itself as a key player in reimagining the modern workplace with Agentic AI.
    HALL 2 - Workshops / Tech Talks

  • This research work addresses the critical challenge of on-shelf availability in retail, caused by delays, misplaced inventory, and phantom stock issues. It introduces a scalable AI-powered solution deployed across North American retailers, leveraging advanced ML models (e.g., ARIMA, XGBoost, neural networks) and distributed cloud processing. The system detects disruptions through an adaptive alert framework, enabling targeted resolutions and continuous improvement. Insights into inventory metrics support strategic interventions and mitigate upstream supply chain issues. This approach transforms inventory management, enhancing revenue and operational performance.
    HALL 3 - Tech Talks / Paper Presentations

  • This talk draws from the paper "LLMs Will Always Hallucinate, and We Need to Live With This" and presents a critical analysis of hallucinations in large language models (LLMs), arguing that these phenomena are not occasional errors but inevitable byproducts of the models' underlying mathematical and logical structures. Leveraging insights from computational theory, including Gödel’s First Incompleteness Theorem and undecidability results like the Halting, Emptiness, and Acceptance Problems, the talk will demonstrate that hallucinations arise at every stage of the LLM process—from training data compilation to fact retrieval and text generation. By introducing the concept of Structural Hallucination, we assert that hallucinations cannot be entirely eliminated through architectural improvements, dataset refinement, or fact-checking mechanisms. Instead, this work challenges the prevailing belief that LLM hallucinations can be fully mitigated, proposing instead that we must adapt to and manage their inevitability as a structural characteristic of these systems.
    HALL 1 (Main) - Keynotes / Tech Talks

  • AI will reshape industries by seamlessly combining precision with creativity, offering both analytical depth and innovative potential. Predictive AI and Generative AI in tandem can achieve optimal outcomes. This synergy can ensure more efficient, accurate, and scalable operations across industries like insurance, healthcare, and finance.
    HALL 2 - Workshops / Tech Talks

  • This research introduces an agent-driven Text-to-SQL approach using fine-tuned Small Language Models (SLMs) and Retrieval-Augmented Generation (RAG) to simplify enterprise database interactions for non-technical users. It employs specialized agents for tasks like entity recognition, query decomposition, self-correction, and explainable results. Rolled out to 700 users in a pharmaceutical company, the system achieved 87% accuracy, reduced SQL effort by 70%, improved data access by 90%, and cut costs by 50%, enabling scalable, conversational self-service analytics for business users.
    HALL 3 - Tech Talks / Paper Presentations

  • Day 3

    Feb 7, 2025

  • 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!)
    HALL 1 (Main) - Keynotes / Tech Talks

  • This research work presents Uniform Discretized Integrated Gradients (UDIG), a novel attribution method for explaining large language models by employing a nonlinear interpolation path optimized for discrete embedding spaces. Evaluated on sentiment classification (SST2, IMDb, Rotten Tomatoes) and question answering (BERT fine-tuned on SQuAD), UDIG demonstrates superior performance across log odds, comprehensiveness, and sufficiency metrics, surpassing traditional methods in predictive language model interpretability.
    HALL 3 - Tech Talks / Paper Presentations

  • This session explores how the rise of AI—particularly Large Language Models (LLMs)—is poised to transform the way we design and build software systems. Traditional software architectures rely on predefined interfaces at both the front end (user interfaces) and the back end (API contracts). However, as AI advances in its ability to understand user intent and contextual data in real time, these static design paradigms are being challenged.
    HALL 2 - Workshops / Tech Talks

  • 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.
    HALL 1 (Main) - Keynotes / Tech Talks

  • This research presents a transformer-based approach for Next Basket Recommendation (NBR) in grocery retail, focusing on predicting new, previously unpurchased products. Using a modified T5 architecture, the model captures item-to-item correlations across sequential shopping baskets, framing NBR as a sequence-to-sequence task. Extensive evaluations on the Dunnhumby dataset show that the model outperforms traditional collaborative filtering methods, achieving high precision and ranking effectiveness. This approach demonstrates the potential of transformers for personalized and novel product recommendations.
    HALL 3 - Tech Talks / Paper Presentations

  • 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.
    HALL 2 - Workshops / Tech Talks

  • 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.
    HALL 1 (Main) - Keynotes / Tech Talks

  • This research introduces a unified platform for fine-tuning multiple open-source AI models on small datasets, optimizing resource usage and ensuring data privacy. The approach employs Parameter-Efficient Fine-Tuning (PEFT) with QLoRA, dynamic hyperparameter tuning, and stratified random sampling for efficient performance. It automates data preprocessing, prompt adjustment, and compliance with responsible AI practices. By evaluating models on metrics like accuracy, F1 score, and perplexity, the platform provides actionable insights, reducing costs and time while enabling businesses to select the best model for their needs.
    HALL 3 - Tech Talks / Paper Presentations

  • 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.
    HALL 1 (Main) - Keynotes / Tech Talks

  • 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.
    HALL 1 (Main) - Keynotes / Tech Talks

  • In a world where Web3 and Artificial Intelligence are driving the next wave of innovation, this session, "Building Crypto in the World of AI," dives into the real-world use cases of Web3 technologies. The speaker will explore how AI is reshaping blockchain applications, from decentralized finance (DeFi) to data ownership, digital identity, and governance in autonomous organizations. Gain insights into how these advancements are creating smarter, more secure, and scalable ecosystems, driving the adoption of decentralized technologies across industries.
    HALL 2 - Workshops / Tech Talks

  • In this talk, I will explore how autonomous AI agents evolve beyond generative models to perform complex tasks without human intervention. We'll delve into the advancements enabling these agents to make decisions, learn from environments, and reshape industries by automating workflows and processes. Through practical examples and insights from my work at ArkOne.ai and Joinus.team, attendees will understand how autonomous AI agents revolutionise problem-solving across various sectors.
    HALL 3 - Tech Talks / Paper Presentations

  • 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?
    HALL 1 (Main) - Keynotes / Tech Talks

  • In today’s fast-paced digital environment, DevOps teams are under constant pressure to deliver software quickly and efficiently. AIOps is changing the game by bringing AI and machine learning into the world of IT operations. In this session, we’ll explore how AIOps is transforming the way DevOps teams work, making operations smarter, faster, and more reliable. With AI-powered insights, teams can automate processes, resolve issues before they escalate, and improve system performance—all while boosting productivity and reducing downtime. Join us to learn how AIOps is helping teams stay ahead in the world of continuous software development.
    HALL 3 - Tech Talks / Paper Presentations

  • 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.
    HALL 2 - Workshops / Tech Talks

  • Explore the latest trends, tools, and techniques in data engineering, along with practical tips to improve workflows and stay ahead in the field. Perfect for anyone looking to enhance their knowledge and skills in data engineering.
    HALL 3 - Tech Talks / Paper Presentations

  • Integrating LLMs into workflows and interfaces can really enhance customer experience. However, achieving impactful outcomes is not an overnight transformation. Drawing from examples of our adoption process, this session will walk through the iterative journey of enhancing customer-facing interfaces, support agent tools & internal processes using LLMs. The emphasis will be on: Starting small and scaling thoughtfully. Learning from each phase of implementation. Continuously refining based on user feedback and performance metrics.
    HALL 1 (Main) - Keynotes / Tech Talks

  • 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.
    HALL 2 - Workshops / Tech Talks

  • Rahul Prasad, a visionary tech entrepreneur has made a global impact with his pioneering work in AI-powered communications. As the co-founder of Bobble AI, a revolutionary AI keyboard platform serving over 100 million users, Rahul has redefined smartphone utility with innovative solutions for expression and productivity. Recognized by Fortune India and Entrepreneur India, his accolades include being listed in the 40 Under 40 and Tech 25 Class of 2021. Under Rahul’s Tech leadership, Bobble AI has earned distinctions such as inclusion in Andreessen Horowitz's Top 50 Gen AI Consumer Mobile Apps and 20+ patents in advanced technologies such as keystroke optimization, personalized avatars, cyber security, and mobile engineering. His groundbreaking work in vernacular technologies enables users to interact in regional languages, empowering diverse communities. Rahul also drives Bobble AI’s contextual advertising innovations, creating non-intrusive ways for brands to engage with audiences effectively. Beyond business, Rahul is a passionate innovator and lifelong learner. His ventures extend into personalized consumer products through the Bobble Fan Store, redefining offline expression. Rahul’s dedication to bridging gaps for underprivileged communities and his adventurous spirit as a traveler and biker highlight his multidimensional approach to leadership and life.
    HALL 3 - Tech Talks / Paper Presentations

  • As AI becomes increasingly crucial to enterprise success, we see companies moving deeper into a technological frontier that promises both opportunity and risks. The advent of generative AI has driven a surge in AI use cases throughout organizations. So, how are companies preparing—or not preparing—to keep pace with this rapidly evolving technology and avoid unintended consequences, both known and unknown? Join the session to get answers on below: 1. Who are the executives representing organizations with larger AI governance budgets? 2. Do organizational investments in AI governance reflect a sense of urgency? 3. How many new AI models are in the enterprise forecast? 4. What kinds of AI tools and frameworks are organizations using? 5. Are respondents confident that their AI capabilities can meet the challenges ahead? 6. Which AI risks and regulations worry enterprises the most? 7. Who owns organizations’ AI governance?
    HALL 1 (Main) - Keynotes / Tech Talks

  • 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.
    HALL 2 - Workshops / Tech Talks

  • World has moved from drag and drop timeline based editors. Text to video is a paradigm which makes video creation and distribution a verbal skill. This takes this confined ability to the hands of every person who can think creatively and has a story to tell. But chatting with a video creation & editing agent has its own set of challenges, especially for the user asking for high content control as well as ease of creation. Existence of 1000+ languages poses another dimension in these challenges. BingeClip AI is configuring a set of technologies which include Agentic RAGs, Automated document workflows, Proprietary video search models, autonomous agents for editing operations and model compression. The combination creates a seamless application layer which enables user interaction, hence video creation on the move, combining authenticity of UGC with creativity & Automation of AI.
    HALL 3 - Tech Talks / Paper Presentations

  • This talk explores the strategies and best practices for designing and deploying data pipelines at scale. It will delve into how these pipelines are structured to handle large volumes of data efficiently and ensure seamless data flow across systems. By examining real-world examples, the session will demonstrate how robust data pipelines contribute to enhancing the functionality, performance, and user experience of software products. Attendees will gain insights into the tools, techniques, and considerations necessary to build scalable and reliable data pipelines that drive product innovation and business value.
    HALL 1 (Main) - Keynotes / Tech Talks

  • 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.
    HALL 2 - Workshops / Tech Talks

  • This research explores deep learning models to predict the aging and sudden death behavior of lithium-ion batteries (LIBs), critical for automotive energy systems. Traditional models struggle with LIB aging complexity, while DL models like LSTM, GRU, TCN, and Transformers effectively forecast capacity degradation and unexpected failures. Using data from 124 cells with diverse lifetimes, advanced data practices enhanced model accuracy. Metrics like RMSE and R² validated performance, highlighting DL's potential in improving LIB management and automotive system reliability.
    HALL 3 - Tech Talks / Paper Presentations

  • Building scalable e-commerce infrastructure for Bharat’s billion-plus users involves designing systems that can efficiently handle immense user volume, diverse regional needs, and fluctuating demand. This requires a robust, flexible technology stack that supports high-performance operations, from real-time personalization and AI-driven recommendations to regional language support and optimized logistics. By focusing on affordability, accessibility, and the unique shopping behaviors of users in tier 2+ markets, e-commerce platforms can create a seamless experience that empowers India’s vast, diverse population. This approach not only ensures inclusivity but also drives sustained growth by meeting the specific requirements of Bharat’s rapidly expanding digital economy.
    HALL 1 (Main) - Keynotes / Tech Talks

  • This research introduces an LLM-based agentic framework aimed at reducing Mean Time to Recovery (MTTR) during IT incidents. The conversational AIOps Incident Management bot assists on-call personnel by recommending resources, referencing similar past incidents, and suggesting collaborators. It also automates tasks like generating post-incident reports and creating Jira issues for follow-up actions. The framework integrates root cause analysis, resolution guidance, and quality monitoring to enhance efficiency, user engagement, and overall incident management in complex IT service environments.
    HALL 3 - Tech Talks / Paper Presentations

  • 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.
    HALL 2 - Workshops / Tech Talks

  • This research work introduces an autonomous large multimodal (LMM)-based agent for automating software and web operations using enterprise knowledge. The agent performs repetitive web tasks, automates decision-making, and enhances precision through retrieval-augmented generation (RAG). It leverages HTML parsing to create unique identifiers and integrates self-evaluation tools for task execution. Achieving 40% accuracy on open websites and higher on internal pages, it demonstrates a 24% improvement in precision. Key metrics include execution steps, token cost, and self-reflection capabilities.
    HALL 3 - Tech Talks / Paper Presentations

  • Data Science and Artificial Intelligence (AI) are at the forefront of technological innovation, driving significant advancements across various industries. These fields leverage vast amounts of data to uncover insights, automate processes, and create intelligent systems that can perform tasks traditionally requiring human intelligence.
    HALL 1 (Main) - Keynotes / Tech Talks

  • 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.
    HALL 2 - Workshops / Tech Talks

  • This research work presents a systematic approach to case deflection, enabling customers to resolve issues independently, reducing the need for support. It develops Intellectual Capital (IC) through analyzing documentation and engineer case notes, using a predictive model with supervised learning and NLP to classify bugs for digitization. The model prioritizes high-potential bugs, optimizing workflows and resource allocation. Large language models (LLMs) automate IC document creation, improving consistency and reducing manual effort. This AI-driven process enhances decision-making, customer satisfaction, and operational efficiency.
    HALL 3 - Tech Talks / Paper Presentations

  • 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.
    HALL 1 (Main) - Keynotes / Tech Talks

Check Schedule from 2019

Schedule 2019

Extraordinary Speakers

Meet the best Machine Learning Practitioners & Researchers from the country.

  • 1 Day Pass

  • Access to all in-person tracks & workshops
  • Access the recorded sessions later
  • Access to in-person networking with attendees & speakers
  • Conference Lunch for 1 Day
  • No Group Discount Available
  • 7000