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 learn 

a .     How to solve the current gaps in machine data analysis

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

REGISTER NOW

Host and Speaker
Principal Growth Hacker
DataRPM
Senior Product Manager
DataRPM
Head of Strategy, King Content
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About Us
DataRPM provides an award winning cognitive data science platform on cloud or on premises for enterprises to build data products for Recommendations & Predictions. DataRPM prides it self in delivering the fastest and scalable automated data science platform which guarantees a return on investment for their customers and turns everyone in the organization into citizen data scientists. Enterprises across the globe are using DataRPM to digitally transform their businesses in the core areas of Product Recommendations, Content Recommendations, Predictive Maintenance and Churn Predictions.