Summary of "Cypher 2025 - Day 3| Asia’s Biggest AI & Data Science Conference in Bengaluru | AIM Network | Hall 2"
1. Event Introduction and Context
- Cypher 2025 is India’s largest AI summit and expo, now in its ninth edition, themed around generative AI.
- The conference gathers researchers, innovators, policymakers, and entrepreneurs to discuss AI’s transformative impact, especially focusing on “Make AI in India.”
- The event includes contests, networking sessions, keynote speeches, panel discussions, and entertainment.
- Sponsors include major tech companies like NextGen, Snowflake, Cisco, LinkedIn, EPAM India, and others.
2. EPAM India and Axtria (Astria) Corporate Profiles
- EPAM India: A leading technology company with strong AI, digital, cloud, and analytics capabilities, recognized for workplace excellence and AI skill development.
- Axtria (Astria): AI-first life sciences company providing AI-powered decision intelligence solutions across the product lifecycle in pharma and healthcare.
3. Keynote: Governance Lessons from Public Administration by K. Ratna Prabha
Speaker: K. Ratna Prabha, former IAS officer and president of Ubuntu consortium.
Main ideas:
- Governance involves balancing risk, building resilience, and fostering trust amid uncertainty.
- Real-world governance is different from theory; it requires presence of mind, community engagement, and practical problem-solving.
- Early career experiences in a backward district (Bidar) taught her crisis management, people management, and ethical leadership.
- Examples include managing water crises, handling law and order with political pressure, and pioneering women’s self-help groups.
- Emphasized women’s leadership, learning from local communities, and persistence despite systemic challenges.
- Advice on governance in the AI era: AI can assist but cannot replace human judgment and common sense.
Lessons:
- Leadership requires courage, adaptability, and empathy.
- Governance is people-centric and context-specific.
- AI should be a tool augmenting, not replacing, human decision-making.
4. Technical Session: AI Infrastructure and Generative AI Deployment by NextGen and Bud Ecosystem
Speakers: Linen Joseph (CSO, Bud Ecosystem), Jen Baburedi (NextGen).
Main ideas:
- NextGen provides secure, scalable AI-ready cloud infrastructure supporting GPU acceleration (NVIDIA H100/H200), Kubernetes orchestration (Red Hat OpenShift), and high-performance storage (IBM Spectrum Scale).
- Bud Ecosystem offers a generative AI software stack (Bud Foundry) that integrates with NextGen’s infrastructure to enable enterprises to deploy AI models securely and at scale.
- Challenges in generative AI deployment include complexity, security risks, data privacy, and cost.
- Bud and NextGen partnership enables sovereign AI cloud infrastructure “Made in India,” offering better control, performance, and affordability.
- The platform supports open-source models and beats global benchmarks on accuracy and speed.
Lessons:
- Building AI infrastructure requires deep integration of hardware, software, and orchestration.
- Sovereign cloud solutions are critical for data security and compliance in India.
- Democratizing AI infrastructure empowers startups and enterprises to innovate independently.
5. Creative AI in Storytelling: DashTune’s Vision by Somiadep Mukharji
Speaker: Somiadep Mukharji, Co-founder and CTO, DashTune.
Main ideas:
- Storytelling is fundamental to human culture; AI democratizes and accelerates creative storytelling.
- Traditional filmmaking is complex, costly, and slow; generative AI drastically reduces time and cost.
- DashTune’s platform enables creators to generate, edit, and iterate video content rapidly with AI assistance, maintaining creative control.
- Key challenges addressed include consistency in aesthetics and character across scenes and providing intuitive visual controls.
- AI tools are meant to augment human creativity, not replace originality or emotional connection.
- Use cases include long-form storytelling, education videos, and short dramas; the platform supports multiple languages and cultural contexts.
- Ethical considerations include copyright, content moderation, and credit sharing.
Lessons:
- AI can unlock creative potential by lowering barriers to content creation.
- Human oversight remains critical to ensure authenticity and alignment with creative vision.
- Fine-tuning AI models for storytelling requires addressing consistency and controllability.
6. AI in Food & Beverage Operations: Hungerbox Case Study by Sandpipin Mitra
Speaker: Sandpipin Mitra, Co-founder and CEO, Hungerbox.
Main ideas:
- Hungerbox digitizes and manages food services for institutions, handling
Category
Educational