Experiment design at store vs. online pace
Avoid polluted A/B reads.
session outline
- Holdout design
- Inventory coupling
labs
- Plan a two-week test
beyond-catalog topics (custom)
- Franchise vs. corporate-owned rollout differences in APAC
explainx / curriculum sample
Balances growth experiments with customer trust—especially for loyalty data.
AI Instructor & Product Leader
Yash Thakker has 12+ years of experience building AI products and has taught 160,000+ students across 50+ courses. He facilitates corporate AI training for enterprises including Tata, PayPal, and Fortune 500 teams. Yash holds an MBA from SIMSREE and a B.Tech in Information Technology. Based in Mumbai, he delivers programs globally, specializing in Claude AI, generative AI, and practical AI implementation for regulated industries.
Credentials
We align on sponsors, success metrics, and constraints (2026 tool landscape, data rules, procurement gates) before anything is scheduled company-wide.
Short conversations with practitioners (not only leadership) so scenarios reflect real workflows—not generic slide demos.
Modular agenda, exercise scripts, evaluation rubrics, and governance checkpoints matched to your vocabulary (banking, FMCG, engineering, etc.).
Facilitation-led sessions with live exercises, breakout prompts, and documented failure modes—minimum passive lecture time.
Written recap, pilot backlog, links to explainx.ai courses for scaled upskilling, and optional office hours so momentum doesn’t stop at the workshop.
Avoid polluted A/B reads.
quick contact
Share sponsor, headcount, and cities — we reply with timing and options. Rough budget helps us match the right depth.
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We split exercises when your taxonomy differs materially by region.