Discover how industries are moving beyond experimentation to embed AI into core decision-making. Drawing insights from MathCo leadership, the article explores agentic AI, governance, enterprise readiness, and what it will take for industries to scale AI with trust, reliability, and real business impact.
Topic: AI/ML
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Cognitive Match Engine: A Transformative Intelligence Layer in Manufacturing
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Always-On MMM: Moving Away from Guesswork to Growth, Built on Databricks
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Systemic AI Transformation in Assortment Planning, Built on Databricks
Explore how AI and intelligent automation are transforming assortment planning. Learn how localized strategies, channel harmonization, and predictive insights help retailers optimize SKU portfolios, improve decision-making, and drive growth in today’s competitive retail landscape.
Lean AI Manufacturing: Reinventing the Core of Industrial Excellence
As manufacturing grows more complex and data-heavy, old improvement methods fall short. Learn how Lean AI unifies data, automates insights, and gives teams the power to act quickly and confidently.
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Reducing Pipeline Development: A Metadata-Driven Approach to Data Ingestion
A global CPG leader modernized its data ingestion architecture with a metadata-driven framework built on Databricks Lakeflow Jobs. By replacing fragmented legacy ETL processes, the company reduced pipeline development time by 80%—from 36 hours to just 8—and enabled data teams to onboard new sources in hours instead of weeks. This article explores how MathCo’s metadata-driven approach streamlined data ingestion, enhanced scalability, and empowered enterprise-grade data transformation across manufacturing, supply chain, and sales channels.