World Congress 2025 • Aug 20, 2025 • Session details

Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow

Kapil Gupta

Are decentralized AI experiments creating untrackable data silos in your enterprise? Learn how building a unified GenAI platform securely scales your architecture from proof-of-concept to production.

Pause
Mute Enter Fullscreen
#1 about 2 min

Overcoming artificial intelligence silos in the enterprise

Establishing guardrails and addressing unmanaged data silos to unlock genuine business impact from artificial intelligence.

#2 about 2 min

Aligning business value via artificial intelligence design workshops

Bringing teams together to identify high-value use cases and unify them under a central data strategy.

#3 about 2 min

Treating the internal artificial intelligence platform as a product

Balancing project flexibility with centralized governance by providing reusable components and standardized resources.

#4 about 4 min

Architecting a unified data and machine learning workbench

Building a cloud-agnostic platform featuring a robust data foundation, model registry, and automated deployment capabilities.

#5 about 3 min

Automating self-service workspaces and data annotation pipelines

Enabling rapid proof-of-concept deployments with self-service compute environments and AI-driven data tagging.

#6 about 4 min

Integrating state-of-the-art generative models and automated processing

Leveraging secure endpoints to deploy diverse language models while ensuring retrieval performance, proper evaluation, and observability.

#7 about 3 min

Implementing a phased rollout for the unified data workbench

Moving from foundational cloud blueprints to implementing data-as-code libraries for integrated pipeline quality control.

#8 about 4 min

Designing an agentic convergence layer for enterprise applications

Utilizing a platform layer that hosts models and connects legacy systems via standard protocols and custom agent kits.

#9 about 2 min

Supporting enterprise automation across no-code and pro-code workflows

Providing tailorable solutions that accommodate citizen developers alongside deep code modifications for advanced technical teams.

Matching moments

3:13 min

Embedding generative AI in enterprise software platforms

Mike Butcher Mike Butcher +3 · WWC 2024

3:33 min

Crucial lessons for deploying generative AI in enterprises

Alexander Trusheim Alexander Trusheim +1 · WWC 2025

2:52 min

Scaling generative AI use cases across large enterprises

Mike Butcher Mike Butcher +3 · WWC 2024

2:47 min

Specialized internal platforms for generative AI and data

Bastian Heilemann Bastian Heilemann +1 · WWC 2025

3:52 min

Establishing a structured framework for enterprise AI

Julian Joseph · LIVE

2:28 min

Adapting collaboration models and platforms for generative AI workflows

Daniel Tao +3 · WWC 2024

Upcoming sessions on this topic

Open session

World Congress 2026 North America

Building Stuff with GenAI - The Open Minded Workshop beyond OpenAI

Andreas Erben

CTO for Applied AI and Metaverse at daenet

Andreas Erben
Open session

World Congress 2026 North America

Who Tests the AI? Building Trustworthy AI Systems at Enterprise Scale

Him Raj Singh

PayPal, Manager, Software Engineer

Him Raj Singh
Open session

World Congress 2026 North America

Beyond the Code: Human-AI Synergies in Product Development

Ajita Kanchivakam Ananth

Staff Technical Program Manager at Google

Ajita Kanchivakam Ananth
Open session

World Congress 2026 North America

The Broken Rung: How AI is Rebuilding Software Development from the Ground Up

Tomislav Tipurić

Chief Technology Officer, Nephos

Tomislav Tipurić
Open session

World Congress 2026 North America

Building Pragmatic AI: 10 AI Features Your Users Actually Want

Jonathan "J." Tower

.NET Foundation Board | 12x Microsoft MVP | Founder & Consultant

Jonathan "J." Tower
Open session

World Congress 2026 North America

AI Decision Observability: Enabling Transparency and Trust in Intelligent Systems

Amjad Shaikh, Soumil Mandal

Amjad Shaikh
Soumil Mandal