Multimodal Enterprise AI
Integration of text, image, video, and sensor data for decision-making.
AI Observability Platforms
Monitoring model behavior, drift, and reliability in production.
Vector Databases & Semantic Layers
Enabling real-time contextual search across enterprise knowledge.
Synthetic Data Generation
Scaling training datasets while preserving privacy.
Edge AI + Real-Time Inference
Unlock ultra-low latency services for industrial automation, AR/VR, and real-time AI inferencing previously impossible over
Retrieval-Augmented Generation (RAG) 2.0
Context-aware systems combining enterprise data with LLM reasoning.
71% of enterprises are deploying AI at scale, but success correlates strongly with IT modernization maturity.
Enterprise AI usage intensity has surged (8× growth in usage, 320× increase in token consumption), signalling deep workflow integration.
AI-native enterprise architecture
AI observability & governance
Multimodal enterprise intelligence
Enterprise LLMOps
Human-AI decision augmentation
AI value realization frameworks
Event Partners & Sponsors
Knowledge & Innovation Partner
Technology Partner
Agenda
07 May 2026 (09.00 am to 10.00 am CT)
| 09:00 am | Aganda 1Introduction of SpeakersNitin Naveen, Vice president-Innovation Strategy, AICorespot
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| 09:05 am | Aganda 6The Future Enterprise is not Digital-First, but AI-NativePanel Discussion– John Mendez, Vice President-Global Practice Head, InfoVision (Moderator)– Samar Khan, Founder & CEO, TripAI Technologies– Sumanth Cherukuri, Former VP of Software Engineering and AI at Guitar Center– Khyati Sharma, Associate Director of Technology, CURE Auto Insurance– Nupur Daruka, Senior Director of Software Development, First Tech Federal Credit Union |
| 09:55 am | Aganda 1Thank you note and conclusion of event-by Nitin Naveen, Vice president-Innovation Strategy, AICorespot
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