Making Enterprise Data AI-Ready: A Practical Guide

Hosted by Lev Gorelov

52 students

What you'll learn

Build the data foundation for powering reliable AI

Unlock hidden potential of your data by making it AI-ready using proven preparation and quality control frameworks

Craft intelligent AI-search for complex questions

Organize knowledge in a way that enables AI to handle nuanced requests and deliver powerful insights

Spot the data landmines sabotaging AI accuracy

Identify the pitfalls of data organization which hurt AI response quality and reliability

Why this topic matters

60% of organizations prioritizing AI-driven data initiatives but only 12% have data quality sufficient for reliable AI. We will explore the curation, formatting and earmarking strategies to make your data AI-ready before deployment. Learn strategies to strengthen your data infrastructure now, well before any major AI investment.

You'll learn from

Lev Gorelov

Co-founder of Handshake

Lev is the co-founder of Handshake, a generative AI software studio that builds bespoke generative AI platforms for Fortune 500 companies and strategic consultancies. 

His consulting background developing intelligence assessments for C-suite teams provided direct exposure to executive decision-making processes — insight that now drives his approach to building AI systems that amplify rather simply automate strategic judgment.

His methodology centers on extracting tacit organizational knowledge — the unwritten processes that drive competitive advantage — and augmenting internal operations in a way that scales expertise without diluting quality. His proprietary assessment framework helps leadership teams map their knowledge assets and identify where AI can multiply their strategic output while reinforcing their market differentiation.