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With AI adoption across sectors expected to add USD 17-26 trillion to the global economy, building a National AI Stack is critical for India's competitive advantage. Such a stack will enable secure data exchanges, scalable compute infrastructure, and the development of indigenous AI models, thereby strengthening the nation's technological self-reliance. The discussion will focus on key commercial opportunities to build the AI stack through advanced compute infrastructure, leverage industry-driven innovative implementations, and explore strategic considerations for companies aiming to capitalise on a sovereign AI ecosystem.
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AI is reshaping cybersecurity operations, from faster detection to more efficient incident response. This session brings together security leaders and solution providers to discuss the current maturity of AI-driven capabilities, emerging innovations, and practical ways automation can enhance SOC performance, reduce response times, and strengthen an organisation's overall security posture.
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The most interesting thing about wearables and smart glasses isn't the hardware - it's the quiet move toward computing that doesn't ask for our attention. This session examines how on-body devices enable interactions that happen in the flow of everyday life ambient payments, glance-based navigation, passive health diagnostics, workplace guidance, and hands-free collaboration. Rather than another "screen to build apps for," these products demand new principles for product design, monetisation, privacy, and utility - where success depends not on engagement time, but on how invisible the technology can be.
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As AI systems increasingly rely on large volumes of personal data, the DPDP Act introduces a new compliance challenge for the industry, particularly with legacy data pipelines. Companies must balance innovation with strict requirements on consent and purpose limitation and data forgettability requirements which include delete or de-link personal data across systems when a user withdraws consent. This session will explore how companies can adjust data practices and safeguards to build compliant, reliable AI systems under DPDP Act.
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As more sensitive workloads move to cloud, India must ensure sovereignty, redundancy, and trusted infrastructure. Leaders debate multi-cloud strategies, sovereign cloud models, and risk mitigation.
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With 900 million internet users in India, the rapid rise of deepfakes poses significant risks of public disruption, panic, and widespread misinformation. As these threats constantly evolve, a single regulatory framework is insufficient. This discussion will explore why different platforms require tailored protective measures and how industry can continuously innovate with advanced detection tools, responsible content practices without excessive compliance pressures.
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This session will focus on what AI startups in India need to grow, from affordable compute and access to quality data, to regulatory clarity, funding support, and faster pathways to deployment. It will explore practical challenges faced by founders, scalable solutions, and ecosystem enablers that can accelerate innovation and help Indian AI companies compete globally.
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Most organisations remain stuck at the "pilot purgatory" stage. This discussion focuses on shifting from small-scale experiments to large-scale operational AI platforms-covering data maturity, talent, workflows, and change management.
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With the rise of AI-powered phishing, and other emerging threats - the old security models has been proven obsolete. Zero Trust is vital because it minimizes the "blast radius" of a breach, prevents lateral movement by attackers, and secures critical data across multi-cloud environments. The session will mostly like a case study and how zero trust solves the issues.
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AI transformation isn't only about technology-it's about people. This session tackles leadership readiness, workforce upskilling, internal governance, and the cultural shifts required to build AI-ready organisations.
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As WealthTech platforms increasingly shape investor behaviour through nudges, model portfolios, and algorithmic recommendations, the boundary between execution-only services and advisory responsibility is becoming harder to defend. Firms are facing growing regulatory scrutiny around suitability, mis-selling risk, and outcome-based accountability, often without clear guidance on where liability begins and ends. This panel focuses on the practical challenges WealthTech firms face in navigating this grey zone- determining when digital journeys cross into advice, managing suitability at scale without aligning product design with fiduciary expectations, and assigning responsibility across platforms, distributors, and technology providers. The discussion will explore how WealthTech players are adapting governance, controls, and internal decision frameworks to scale responsibly while protecting investors and regulatory trust.
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How do organisations measure where they stand in the AI adoption curve? Experts discuss frameworks for assessing technical readiness, data governance quality, risk preparedness, and workforce capabilities.
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AI is rapidly reshaping how compliance, risk, and supervisory functions are designed and executed. While automation promises speed, scale, and deeper insights, it also introduces new questions around explainability, accountability, bias, and regulatory confidence, especially when critical decisions are increasingly influenced by algorithms.This panel examines what responsible adoption of AI in RegTech really looks like in practice. The discussion will focus on where AI meaningfully enhances regulatory outcomes, where human judgment remains indispensable, and how firms and regulators are approaching governance, auditability, and oversight of AI-driven systems. As regulatory expectations evolve, the session will explore how the ecosystem can balance innovation with trust, transparency, and control.
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AI is reshaping credit scoring in India by enabling faster, more inclusive, and data-driven lending decisions. From alternative data and real-time analytics to explainable and compliant models, AI is helping lenders reach underserved and thin-file customers while managing risk responsibly. This session explores how financial institutions and fintechs are balancing innovation with fairness, transparency, and regulatory expectations to build scalable and trustworthy credit ecosystems in India.
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As India's payment ecosystem continues to set global benchmarks, the way agentic AI is integrated into payment infrastructure will shape the next decade of digital payments-not just domestically, but globally. This discussion offers a rare infrastructure-level view into how leading institutions are thinking about autonomy, risk, and control in AI-driven payments.
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Newsrooms today face two parallel pressures an explosion of synthetic content and a newsroom workflow that hasn't kept pace with the speed of information. This session looks at practical ways editors and reporters are using AI to verify sources faster, triage large volumes of leads, surface hidden storylines, and strengthen investigative work. The discussion focuses on tools that support-not replace-editorial judgment, and what it will take for journalism to stay credible when the information environment becomes harder to trust.
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Personalised learning is often talked about but rarely implemented effectively. This session examines real models being deployed across K-12 classrooms, universities, test-prep platforms, and skilling ecosystems. From adaptive assessments to AI-driven learning paths and teacher-augmentation tools, experts break down what true personalisation looks like at scale - and how institutions can adopt it responsibly and affordability
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Shopping will move beyond clicks-toward voice, image, and multimodal queries. This session explores interface innovation and consumer behaviour shifts.
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Agentic AI will reshape how consumers discover, compare, and negotiate purchases. This session dives into autonomous shopping, price optimisation, and personalised buyer journeys.
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Hospitals are adopting AI for triage, imaging, bed management, and diagnostics. This session explores use cases, safety standards, and integration challenges in clinical settings.
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As AI systems evolve from tools to autonomous agents, critical questions emerge around decision-making, control, and accountability in the digital economy. This session examines the shifting balance of power between AI agents, platforms, and human oversight. Panelists discuss governance models, market dynamics, and regulatory implications as AI increasingly mediates commerce, content, and consumer choices, reshaping who truly "decides" in an AI-driven economy.
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AI is collapsing the distance between idea and execution, turning brands into always-on content studios. This session explores how marketers are using AI to bring in efficieny and speed in production, scale video and display creatives, and still protect the brand idea at the center.
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AI enables predictive lending but also raises risk and fairness concerns. This session examines the next generation of credit models and regulatory expectations.
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From warehouse automation to smart factories and last-mile delivery, AI is redefining how operations scale in the real world. This session dives into practical deployments of AI across logistics and manufacturing, covering robotics, computer vision, predictive maintenance, and route optimisation. Leaders share lessons from implementation at scale, highlighting productivity gains, workforce augmentation, and the challenges of integrating AI into complex, offline operational environments.
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AI is rapidly automating the content production lifecycle, from pre-production planning and asset creation to post-production, localisation, and delivery. This session examines how AI-driven tools are improving efficiency, enabling scale, and reshaping production workflows, while raising new questions around creative ownership, quality control, and human oversight.
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This session will discuss how to make AI fair and unbiased. As AI is used more across sector and services, it is important that algorithms work equally for everyone. The panel will look at how bias enters data and models, how it impacts decisions, and why India needs evaluation frameworks that reflect its diverse population. Speakers will share simple methods for better data, fairness checks, model audits, and policies to support responsible AI.
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AI challenges traditional music creation and rights management. Leaders discuss the future of composition, distribution, and protection in the AI era.
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Universities are no longer just teaching AI, they are actively using it to transform learning, research, and campus operations. This session explores how AI is being adopted across curriculum design, personalised learning, assessments, administration, and student support. Speakers examine real-world use cases, governance frameworks, and ethical considerations, offering insights into how higher education institutions can responsibly harness AI to improve outcomes and build future-ready talent.
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Live streaming is evolving beyond scale to become a more data-driven and interactive medium. This session explores how AI is reshaping live content discovery, audience engagement, and monetisation, enabling platforms to rethink advertising formats, expand reach, and unlock new revenue models across live digital experiences.
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Customer journeys are no longer linear; they are stitched together in real time by data and algorithms. This session dives into how brands can use AI and first-party data to orchestrate journeys across search, , social, video, app and offline touchpoints, driving growth
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Fintech innovation is moving faster than traditional compliance frameworks were ever designed to handle. As products become more modular, data-driven, and partnership-led, fintechs are increasingly navigating fragmented regulatory expectations, overlapping accountability, and rising supervisory scrutiny often without clear implementation playbooks.This panel talks about the real friction points at the intersection of fintech growth and compliance- unclear ownership across value chains, translating regulatory intent into operational controls, balancing speed with safeguards, and avoiding both over-compliance and regulatory blind spots. Through practitioner perspectives, the discussion will focus on how fintechs and ecosystem partners are evolving their compliance approaches to remain resilient, trusted, and scalable in an environment of continuous regulatory change.
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