Implement AI and Analytics into your Manufacturing Process

Low-cost sensors and new wireless connectivity tools enable manufacturers to employ digital analytics more effectively than ever before. With the right tools, they can gather, cleanse, process, and visualize massive amounts of data from disparate sources that cover all phases of the product lifecycle.

Manufacturers are incorporating advanced machine learning and AI tools into their technology stacks to predict and optimize outcomes in real time—across quality, maintenance, and throughput, in addition to monitoring processes and results. Knowledge graphs running on top of the data infrastructure can map complex relationships across systems, products, and processes; then turn raw data into a connected AI fabric. These technologies empower manufacturers to move from reactive to prescriptive decision-making comprising their complete operational ecosystem. 

This eGuide provides an overview into how manufacturers can extract more value from their data and make accurate predictions about component life, replacement requirements, energy efficiency, utilization, and other factors that have direct impacts on production capacity, throughput, quality, sales, customer acceptance, and overall equipment efficiency.