McKinsey Global Institute predicts that by 2025 the Internet of Things will generate up to $11trillion in value to the global economy. As companies compete with exploding volumes of data from sensors, the world of industrial analytics seems dominated by buzz-words rather than large scale implementations.
While much has been written about industrial digital transformation, only a few industrial companies have nailed the transformation given the complexity and magnitude.
Join our four-part webinar series aptly titled, ‘Demystifying Cognitive Approaches to Predictive Maintenance’ hosted by Anita Rajasekaran, Principal Growth Hacker, DataRPM to get industry perspectives based on the key lessons learned about scaling and operationalizing “connected ecosystem” for Industrial IoT. The goal is to accurately paint the picture of where the gaps exist and how companies can take advantage of cognitive approaches for higher machine lifetime and greater productivity.
In the first part, Aditya Murukutla, Senior Product Manager, DataRPM will present a comprehensive framework to realize the real potential of Industrial IoT and how companies can recognize, predict, respond and optimize the speed of ‘digital change.'
By attending this webinar, you will
b. How you can build a scalable and repeatable approach to harness the trillions of data points generated by sensors
c. How cognitive approaches to data science can be a game-changer for Industry 4.0
d. Use Case: Enabling cognitive predictive maintenance for a Fortune 50 Industrial Manufacturer