Maximizing operational efficiency with predictive maintenance
In recent weeks, much has changed as we shifted practically overnight to a more digital way of doing business. Digitization will become more important as we move toward economic recovery. A new mode of operations is arising, one that includes a greater than normal focus on cost savings balanced by a critical need to maximize the performance and reliability of operational assets. Predictive maintenance fueled by actionable analytics can help drive these financial and operational advantages.
What you will learn:
- How AI, machine learning and edge technology are used to increase asset availability
- How to improve asset utilization by at least 10%
- How to integrate cybersecurity controls that protect your operational assets
Duration: 25 minutes + live Q&AWebinar Replay
Chief Innovation Officer, Edge to Cloud for Analytics & Data for Atos
Paulo is responsible for developing and enhancing existing services and bringing new product and solution innovations to market. These products and solutions allow Atos clients to successfully evolve in their digital transformations. Paulo has a successful track record as a business leader and technology innovator in the data and analytics space. He is a data expert that has developed strategies for data monetization, new technologies around AI/ML, IoT and blockchain, including several patents and applied research. In his previous roles with IBM and GE, he helped Fortune 50 companies like JPMC, Walmart, Honeywell, American Express, Target, ING, Santander and HSBC to develop and deploy massively parallel systems for data analytics, implement data strategies, and define processes for proper governance.