By Fizi YadavAneesh SaxenaSwasti NagpalTina Hou, and Rahul Parte
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Meet Forecast Cascade: A flexible adjustment engine that simplifies integrated planning, closes APS gaps, and delivers transparent, accurate forecasts, without disrupting your existing tools.
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Commerce is moving beyond channels into everyday moments. As AI agents increasingly handle buying, brands must adapt to stay relevant when decisions are made on their behalf.
By Robert DerowJustin KuronJames Reiner, and Mark Abraham
2026-01-19
For the past decade, the mechanics of advertising have remained fairly consistent. Artificial intelligence is changing the equation.
By Vishu Agarwal and Jerry Wang
2026-01-15
What happens when clean test-control boundaries disappear? Learn how clustered, matched-market experimentation delivers clean incrementality, faster learning, and scalable media optimization at scale.
By Max StrueverNoah BroestlHersh GuptaAdel Abdalla, and Rajprakash Bale
2025-12-19
RAG tests measure performance, but not completeness. Discover how semantic test coverage ensures your GenAI evaluations truly test what your model should know.
By Vincent Paca
2025-11-28
In an AI-first world, speed is easy. Mastery isn’t. Engineering leaders must rebuild how juniors learn, think, and grow.
By Aneesh Saxena and Fizi Yadav
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From rigid forecasting to real-time intelligence, BCG X’s structured GenAI framework turns demand planning into an explainable, adaptive, and high-impact co-planning system.
By Michael Farrugia
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Modern teams face fragmented data context. This post explores how unifying data understanding drives collaboration, faster delivery, and smarter, AI-ready development.