Getting ahead of manufacturing challenges around supply chain, digital transformation and sustainability has never been more important and requires adapting to emerging AI technologies. With the right data, digital twin, analytics solutions and processes in place you can simplify processes, anticipate future outcomes and deliver financially impactful results quickly.

In this insightful workshop we’ll explore how your organization can move from reactive to proactive maintenance and predict when parts will fail before there is an unplanned downtime incident.

Key Topics:

• Explore how predictive analytics can foresee equipment failures avoiding equipment failures and maximizing uptime.
• Examine case studies and success stories from manufacturing organizations that have implemented AI and analytics to predict accidents before they occur, reduce failures in a production stream, gain a 30% reduction in downtime and a 10% improvement in overall efficiency, reduce data cleanup times by 95% and more.
• Understand the reference frameworks and typical deployment topologies for analytics within manufacturing organizations.
• Engage with experts and ask questions specific to your organization’s applications of AI and analytics in the manufacturing processes