VB Transform Conference 2025: What’s actually working in enterprise AI— from copilots to agents

The conference emphasized the importance of IT-driven innovation in shaping a sustainable and inclusive technological landscape and an advanced human society.

The summertime in San Francisco is sunny and cool, and there are so many great professional conferences held at different locations.

 I headed to the conference center near the Ocean Bay to participate in the "VB Transform Conference 2025." This event gathered industry leaders, innovators, and thought leaders to discuss the future of technology, AI, and digital transformation. 

The staff onsite were very friendly, helping me finish the registration process smoothly, so I could listen to the keynote presentations, participate in roundtable discussions, and ask questions at the vendor expo, learning and sharing insight about digital transformation across industries.

 Presentation: When I entered the conference hall, hundreds of people were already there, and the meeting had already started. Renowned experts shared insights on the future of AI, emphasizing ethical considerations, regulatory frameworks, and the importance of responsible AI development. The keynote presentation focused on key trends, challenges, and opportunities in the evolving landscape of artificial intelligence and its applications across various sectors. The topics include such as:  

-Beyond Copilots: AI-Driven Development

-The New Human-AI Relationship in the Age of Agents

-From Models to Agentic Systems: The Next Enterprise AI S-Curve

-Less Control, More Tools: Why Enterprises Need AI Agents Over Rigid Workflows

-Cracking AI’s Storage Bottleneck

-Building Observable AI Agent Ecosystems 

-Face-to-Face at Scale: Why Agents Are the Next Leap in Enterprise AI

-A Taxonomy for Next-Generation Reasoning Models

...

Panel Discussions: Panels featured discussions on topics such as AI in retailers, finance, and smart cities, healthcare, etc, offering a multi-faceted view of technology's role. The topics include:

-AI Inference Is Reshaping Enterprise AI Economics 

-How Intelligent Agents Will Reshape Financial Services

-How Agentic AI Will Reshape Enterprise Architecture

-What No One's Telling You About Scaling Agents

-Building Scalable, Autonomous Agents with Domain Expertise

-How to Cultivate a Safe Environment for AI Experimentation

-Architecting for Multi-Model, Multi-Modal Environments

-Agentic AI and the Developer Reckoning: Rethinking Data Intelligence and Execution

-Data Quality for Gen AI and Beyond: The Foundation of Trust and Performance

-AI From Prototype to Production

-Scaling AI: Modular Agents, Data Foundations, and the Future of Responsible Innovation

-Beyond Foundation Models: Blueprint for Hallucination-Free, Multimodal AI

-How LLMs Transform Clinical Workflows Without Compromising Patient Data

-Open, Closed, or Hybrid? Choosing the Right Model Strategy for Enterprise AI

-Inside OpenAI’s Agent Stack: Shipping Secure, Evaluable Automation at Enterprise Scale

....

Roundtable Discussion: There were different brainstorming roundtable sessions on the impact of AI on business models, customer experiences, and operational efficiencies. Attendees engaged with panelists, fostering dialogue about real-world challenges and innovative solutions.

-Open-Source AI in the Enterprise: Balancing Innovation with Security and Compliance

-Anatomy of an Agent: Enterprise-Grade Autonomy

-What's Next is What's Necessary: Building the 2030 Technology Strategy

-Building Cybersecurity Apps with Open Source: Risks, Rewards, and Best Practices

-Observability for the Agentic Era: Tracking, Trust, and Transformation

-Reshaping Enterprise Structures for the Age of Intelligence

-From Demo to Dependable: Deploying Agents in Real-World Enterprise Workflows

-Agentic AI: Revolutionizing Software Development and Engineering

-Open-Source AI vs. Proprietary Models: Where Do Enterprises Place Their Bets?

- Best practices to build orchestration frameworks for agentic AI

-Enterprise’s Next Big Bet: Turning AI Experimentation into Scalable Impact

-Reliable Pipelines at Scale: Building Robust, Auditable, and Traceable AI Systems

-Building AI-First Products: An Enterprise Deployment Framework

-AI Development Tools in Software Engineering: Balancing Automation with Developer Oversight

-AI Skills Gap: Building Your Team Without Breaking the Bank

-AI-Powered Organizational Design: Reshaping Enterprise Structures

-Engineering Autonomous AI Agents: The Infrastructure Behind Superior Customer Experiences

Workshops: Workshops focused on practical applications of AI, including machine learning techniques, data analytics, and AI ethics.

-From LLMs to Agents: What to Build, When to Build It, and How to Know It Works

-Designing an Agent Strategy: From Proof-of-Concept to Production

Exhibitor Showcase: Innovative startups and established companies showcased their latest products and services related to AI and digital transformation. I saw a few AI startups, also some large enterprise demonstrated their AI solutions. The expo mainly focused on how AI can drive business growth, improve reliability, and support sustainability efforts.

There were so many things going on at the conferences. The VB Transform Conference 2025 provided valuable insights into the future of AI and digital transformation. Attendees can refresh their knowledge about new technologies, from AI-driven tools to IoT solutions. I believe we're stepping into the era of personalization. We're building a more customized AI-enabled ecosystem in which we can unleash our potential, develop our skills, generate cool values, and live a very fulfilling life. 

 It's a great conference for us to share insights on the latest IT-enabled business solutions. With a focus on collaboration, ethical considerations, and practical applications, the conference emphasized the importance of IT-driven innovation in shaping a sustainable and inclusive technological landscape and a more advanced human society.