In this VMblog Expert Interview, we speak with Shailesh Manjrekar, Chief AI and Marketing Officer at Fabrix.AI (formerly CloudFabrix) about the evolution of enterprise AI solutions and the transformative potential of Agentic AI.
Shailesh brings over 25 years of Silicon Valley experience, having worked with companies like NetApp, EMC, HP, and NVIDIA. He explains Fabrix.AI’s recent rebranding and their comprehensive approach to enterprise AI through their three-layered architecture: Data Fabric, AI Fabric, and Automation Fabric.
Key discussion points include:
- The evolution from perception AI to generative AI to today’s agentic AI systems
- How agentic AI differs from traditional generative AI by using reasoning and deliberation to accomplish tasks
- Special considerations for implementing agentic AI in operational environments with streaming data
- The progression of contextual AI from fine-tuning to RAG to agentic RAG to Model Context Protocols (MCP)
- Fabrix.AI’s innovative AI persona-based guardrail system that balances autonomy with control
- Best use cases for organizations beginning their agentic AI journey
- Necessary organizational changes for successful AI agent adoption
- The future roadmap for Fabrix.AI focusing on ecosystem building
For IT leaders exploring AI solutions for operations, Shailesh offers practical advice on starting with productivity-focused use cases before moving to value-based innovations. He emphasizes that successful implementation requires not just technology (10%) and data infrastructure (20%), but significant attention to people and process changes (70%).
Learn more about agentic AI solutions at https://fabrix.ai or visit their booth (#2440) at the upcoming Cisco Live event.
