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Mayur Madnani Fine-Tuning SLM models with LoRA: Building Specialized On-Device Story GeneratorsFine-Tuning SLMs with LoRA: Building Specialized On-Device Story Generators more
Type of submission: Hands-on workshop (1.5 hrs to 3 hrs)
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Transforming ecommerce item catalogue stewardship using GenAI and vision computingGenAI and Vision Computing models offer a way to simplify and automate ecommerce item catalogue stewardship tasks. They are capable of everything between from predicting and enriching attributes for better guest experience and findability to creating automated infographics that tell the story of the item in one picture. This powers the e-commerce platform by increasing data fidelity and providing… more
Indicate the track in which your submission fits: Track 2: AI in Manufacturing & Digital Transformation
Type of submission: 30 mins talk
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Karthika Vijayan Smart Agents, Smarter Schedules: Agentic AI for Complex OptimizationExtended Abstract:- Constrained optimization lies at the heart of many complex systems, where multiple limited resources must be allocated efficiently to achieve specific goals, while satisfying strict operational constraints. These problems generally sit at the core of logistics optimisation, smart scheduling, etc. They are often high-dimensional, dynamic, and involve tightly coupled dependencie… more
Indicate the track in which your submission fits: Track 2: AI in Manufacturing & Digital Transformation
Type of submission: 30 mins talk
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Kiran Kulkarni UD
Utkarsh Dighe Co-Author Workshop: Build & Optimise AI Agents That Survive ProductionDescription It’s easy to ship a magical agent demo. It’s much harder to ship an agent that works for real users: noisy inputs, partial context, flaky tools, ambiguous goals, and “tiny prompt changes” that break everything. more
Indicate the track in which your submission fits: Track 1 AI in Software Development Life Cycle (SDLC)
Type of submission: Hands-on workshop (1.5 hrs to 3 hrs)
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Atharva Raykar Building the systems that build the softwareOther possible talk titles: What Do Engineers Do When the Machine Writes the Code? more
Indicate the track in which your submission fits: Track 1 AI in Software Development Life Cycle (SDLC)
Type of submission: 30 mins talk
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PB
Prasanna Bhogale Interrogating your twin: causal reasoning in manufacturing systemsDescribe your session in 2 paragraphs Digital twins, predictive maintenance models, and AI-driven quality control all promise to tell manufacturers what to do. But there’s a critical gap - most ML models only reveal correlations, not causation. When your predictive maintenance system flags high vibration as a failure predictor, does reducing vibration actually prevent failures, or is vibration me… more
Indicate the track in which your submission fits: Track 2: AI in Manufacturing & Digital Transformation
Type of submission: 30 mins talk
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Himanshu Agrawal Agentic Intelligence Fabric for Smart BuildingsSession Overview Smart buildings today generate massive volumes of energy, occupancy, environmental, and asset data—but organizations still struggle to turn these signals into reliable, automated decisions. Traditional analytics or rules-based workflows cannot keep up with the complexity, leading to inconsistent operations, missed insights, and systems that are difficult to scale or trust in miss… more
Indicate the track in which your submission fits: Track 2: AI in Manufacturing & Digital Transformation
Type of submission: 30 mins talk
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AK
Abhishek Khardenavis Transforming robot and vehicle autonomy with End-to-End AI stacks and World Foundation ModelsThe landscape of autonomous systems is rapidly evolving, shifting from traditional, modular approaches to integrated, end-to-end AI stacks. These stacks represent a significant leap forward, capable of directly translating raw perception inputs – such as camera images and lidar data – into precise action control outputs without relying on intermediate, hand-engineered modules. This streamlined ar… more
Indicate the track in which your submission fits: Track 2: AI in Manufacturing & Digital Transformation
Type of submission: 30 mins talk
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AG
Aditya Godbole Programmable knowledge for AI native SDLCDatabases gave us programmable data. REST APIs gave us programmable information. With LLMs we are poised for programmable knowledge. But when it comes to complex domains, are we ready? more
Indicate the track in which your submission fits: Track 1 AI in Software Development Life Cycle (SDLC)
Type of submission: 30 mins talk
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LLM-Based Workflow generation and agent orchestrationDescription: Managing financial alerts in the banking domain is a lengthy process that is governed by banks’ internal policy as well as regulatory requirements. Typically, this is a multi-step workflow involving multiple subsystems and external systems getting called. While it is easy in such a case to discover individual tools in agentic AI parlance catering to specific custom workflow needed by… more
Indicate the track in which your submission fits: Track 2: AI in Manufacturing & Digital Transformation
Type of submission: 30 mins talk
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PJ
Prasanth Jayaprakash From Scratch to Production in 3 Months: The AI-First Delivery ModelSession Description Most teams bolt AI onto existing processes: same Jira workflows, same sprint rituals, same onboarding docs, just with Copilot autocompleting some code. But what if you could start fresh? What if you had a greenfield project and could design your entire delivery process knowing what AI can do today? more
Indicate the track in which your submission fits: Track 1 AI in Software Development Life Cycle (SDLC)
Type of submission: 30 mins talk
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Accelerating Development through AI-Powered Test Automation - A Real-World JourneyDescription Traditional test automation breaks down at scale: test suites become brittle, coverage lags behind feature velocity, and QA teams spend more time maintaining tests than finding real issues. At IDfy, we ran into similar problems while shipping multiple times a week across APIs, UIs, and ML-based solutions. This session walks through how we designed and built an AI-powered QA automation… more
Indicate the track in which your submission fits: Track 1 AI in Software Development Life Cycle (SDLC)
Type of submission: 30 mins talk
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