The key to achieving competitive advantage is leveraging data drive insights and decision making. The effective use of data and analytics can improve all aspects of the smart manufacturing

environment, from identifying and optimizing production bottlenecks to predicting and preventing equipment failures. Join this session to examine the benefits that you can achieve and the

challenges that you must overcome in your data driven smart manufacturing journey.

● Aligning your data analytics strategy with your key business priorities and objectives

● Ensuring the data you collect, store and process drives successful data analytics use across your plants

● Overcoming the data integration challenge from different sources and systems

● Protecting your data through robust cyber security measures

Predictive analytics powered by AI and machine learning can analyze vast amounts of data, predict equipment failures, optimize maintenance  

schedules and streamline production processes. However, many want to take a step further to provide actionable recommendations and insights. Our industry leading panellists will discuss: 

• Defining the problems you face, identifying the decision-making objectives, and establishing KPI’s to define business rules 

• Delivering actionable insights and recommendations to guide decision-making 

• Optimizing inventory management by forecasting demand patterns, identifying seasonality and detecting trends