Webinar
Idea to Impact — Rapid GenAI Prototyping for Enterprise Innovation
Key Speaker
Mayank Shukla
Technical Project Manager, Ksolves India Ltd.
A seasoned engineering leader with 8+ years in enterprise software and AI prototyping, Mayank specializes in rapid GenAI solutions using modular architectures and agile deployment to drive innovation.
About the Webinar:
In this session, Mayank Shukla, Technical Project Manager at Ksolves India Ltd., reveals the practical playbook enterprises can use to turn GenAI ideas into working prototypes in days—not quarters.
With 8+ years of experience building enterprise-grade AI and software solutions, Mayank breaks down how organizations can move from brainstorming to functioning GenAI systems using agile methods, modular architectures, and toolchains that avoid vendor lock-in.
He demystifies the GenAI stack—treating it like a set of composable Lego bricks—and explains how orchestrators (LangGraph/LangChain), LLMs, vector stores, observability tools, and guardrails come together to form rapid, reliable AI prototypes.
From choosing the right architecture (RAG vs. Agentic Workflows) to enabling hybrid deployment models and measurable iteration cycles, this webinar delivers clear steps to accelerate GenAI innovation safely and efficiently.
Key Takeaways:
- How to reduce GenAI prototyping timelines from months to sprints
- Why defining clear, measurable GenAI prototype outcomes is crucial
- Understanding the GenAI Stack: orchestration, LLMs, vector stores, guardrails & observability
- When to use RAG vs. Agentic Workflows for enterprise use cases
- Cloud, Open-Source & Hybrid deployment approaches for rapid iteration
- How tools like RAGAS, TruLens, and LangSmith enhance accuracy & traceability
- Best practices for weekly stakeholder validation and ROI measurement
- How to transition prototypes into scalable, production-grade enterprise systems
Whether you’re an enterprise architect, AI lead, product manager, or CTO, this session equips you with actionable methods to accelerate GenAI adoption—precisely, safely, and with real business impact.
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