Leo Vieria

The conventional wisdom around digital transformation for manufacturing is that designing and implementing your strategy is akin to building a house. Start with a blueprint, then build the foundation, add walls, and last, a roof. In reality, the factory systems most in need of modernization have assembled organically, layer by layer, over time, resulting in multiple disconnected systems and disparate data sources that resist a linear approach to digitalization. 

Fortunately, the advent of artificial intelligence has enabled scalable, non-intrusive solutions that do not necessitate the replacement of existing applications to achieve comprehensive visibility into what is happening in your plant right now. 

In this session, we’ll examine and challenge the traditional approach to digital transformation for manufacturing and highlight how AI can leverage maximum value from existing industrial and manufacturing systems to provide benefits earlier in the digital transformation process. 

Key takeaways: 

• Overcome challenges associated with multiple disconnected systems and disparate data sources that slow or prevent decision-making or multiple legacy technologies that cannot be easily integrated to leverage shared data. 
• Discover the technology enabling 50% faster decision making via real-time aggregation and interpretation of data from plant systems. 
• Learn about the solution enabling manufacturers to maintain an agile organization, and shift or change production as needed with live insights into plant processes and data. 
• Effective strategies for integrating manufacturing systems with user experience and enabling a seamless human-machine interface that reinvents how operators interact with the plant.