Karnataka has emerged as India’s foremost hub for artificial intelligence (AI) innovation, leveraging its robust IT infrastructure, policy foresight, and collaborative ecosystems. The state’s strategic investments in AI research, talent development, and industry partnerships have positioned it as a global contender in the AI race. With Bengaluru ranked fifth among top AI cities worldwide, Karnataka’s ecosystem combines cutting-edge R&D, scalable startups, and cross-sectoral AI applications in governance, agriculture, and manufacturing.

The session will cover: > what do professionals do with the changing landscape of AI > how to prepare, what to do to live through and succeed in this period

Is the local AI ecosystem in Bangalore driving its own groundbreaking solutions, or merely adapting global trends?

Explore the rapid evolution of technology, from digital transformation to AI-driven innovation. We will discuss the challenges, implications, and strategies for navigating the AI-driven landscape.

Agentic AI is entering a pivotal phase—will the winners be sector agnostic platforms that scale horizontally or domain specialized agents that go deep vertically? As one of the few tech disruptions transforming both B2B and B2C, and poised to absorb and redefine multiple existing business models, this talk explores where the market is heading, how both models are evolving, and what it are the dimensions Agentic companies are focussing on to build a defensible moat in the age of agentic intelligence.

The AI startup boom has seen unprecedented investments, but is this a bubble waiting to burst? This panel will explore the sustainability of AI funding, discussing whether valuations are justified, how startups can prepare for a potential downturn, and the fine line between hype and reality. It will also address how founders can ensure long-term growth while navigating market skepticism.

The rapid evolution of AI has transitioned from rule-based automation to sophisticated thinking agents capable of understanding goals, making decisions, and acting autonomously. This journey from task-driven AI to goal-oriented intelligence marks a fundamental shift in how AI integrates into enterprise ecosystems, consumer interactions, and digital infrastructure. At the heart of this transformation lies Agentic AI, a paradigm where AI agents move beyond executing predefined tasks to proactively achieving complex objectives. This shift is powered by advancements in Large Language Models (LLMs), multi-agent frameworks, and dynamic workflow automation, enabling AI to act as autonomous collaborators rather than mere assistants. Key milestones in this evolution include: Task Execution: Early AI systems were designed to complete specific, repetitive tasks with minimal adaptability. Context Awareness: Modern AI agents now interpret user intent, adapt to different scenarios, and optimize their responses dynamically or in some cases with minimal help from HITL(Human in the loop). Autonomous Decision-Making: Emerging AI architectures leverage multi-agent coordination, reinforcement learning, and contextual reasoning to achieve high-level business and operational goals without constant human intervention. With platforms like Kogo AI, which enable No-code/Low-code AI agent deployment, businesses are now able to scale automation at unprecedented speeds. These intelligent agents are being deployed across travel, e-commerce, insurance, and customer experience domains, revolutionizing industries with their ability to self-learn, self-optimize, and integrate seamlessly across channels (e.g., chat, voice, and enterprise systems). The future of thinking agents lies in multi-modal AI collaboration, autonomous business operations, and AI-powered solopreneurship, where AI swarms work together to manage entire workflows efficiently. As AI moves toward self-governing intelligence, the transition from mere tasks to goal-driven agency will redefine how technology interacts with humans, businesses, and the digital world.

India’s workforce is vast and dynamic, yet millions struggle to access the right job opportunities. AI-powered speech recognition, conversational AI, and intelligent job-matching algorithms are transforming recruitment in India. From understanding candidate preferences to reducing hiring time and costs, AI is revolutionizing how job seekers connect with employers. The talk will explore real-world applications of AI in recruitment, the challenges of scaling AI-driven hiring, and how technology can create employment opportunities for millions across Bharat.

India’s digital revolution is unfolding at an unprecedented scale, and AI is at the heart of this transformation. In this session, Sanjeev will share how Meesho is leveraging AI and Generative AI to bridge the gap between millions of sellers and Bharat’s next billion shoppers. From hyper-personalized recommendations and automated cataloging to AI-driven customer support and local language accessibility, Meesho is redefining e-commerce for the masses. The session will also delve into the unique challenges of building AI-first solutions for a diverse and price-sensitive audience and the future of AI-driven commerce in India.

With tech talent in abundance, does India have what it takes to lead the AI revolution worldwide—or are policy and infrastructure gaps holding us back?

Join us for an exciting session on how Pocket FM is revolutionizing storytelling with AI. Discover how cutting-edge AI technology is scaling content, empowering creators, and unlocking new opportunities in the entertainment industry. Learn about the challenges, innovations, and the future of human-AI collaboration in shaping the next generation of immersive storytelling. This session will explore how AI is transforming content creation, enhancing engagement, and redefining what’s possible for creators worldwide.

AI is changing services industries the world-over, and the largest services, Financial services, is going to see unprecedented impact as AI capabilities and costs continue to evolve. The change will be far reaching - changes in how banks operate, how voice changes payments, how AI agents re-imagine the distribution model of various financial products etc. Within just two years of LLMs emerging, they're already deployed in multiple production environments across financial institutions. This is the fastest we have seen a new technology reach and have such high interest and intent in financial services. In this fireside chat we discuss the opportunity, the challenges to adoption and take a look at what an AI-led financial services future looks like.