This document examines in detail how artificial intelligence can improve productivity in manufacturing. It examines the use of Dataiku, a data science platform, to improve various aspects of manufacturing, from research and development to production and logistics. The paper highlights the role of AI in predictive maintenance, quality assurance, process optimization, demand forecasting and inventory management. It also highlights the importance of a centralized, collaborative environment for data analysis and decision-making in manufacturing.

Here are five things you will learn from this document:

• How can AI and machine learning improve productivity in manufacturing and why is it crucial for your business?
• What are predictive maintenance strategies and how can they reduce downtime and maintenance costs?
• How can quality assurance be improved using artificial intelligence and machine learning and ensure the production of high-quality products?
• How to use artificial intelligence in demand forecasting and inventory management to optimize logistics and reduce waste
• What is the role of a centralized, collaborative data science platform like Dataiku in increasing productivity in production?
  

By reading this document, you will gain a deep understanding of how artificial intelligence and machine learning can revolutionize your manufacturing processes, making them more efficient and cost-effective. Don't miss this opportunity to transform your business. Fill in the form to download the full PDF.