Isn't it time for change?
We believe the time is now.
Time to accelerate digital transformation together – to do more with less.
Join us on June 29 to explore how to unlock the potential of digital transformation. A change that will boost sustainability, efficiency and resiliency to tackle the challenges of our time.
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Machine builders frequently lose visibility of their products as soon as they exit the factory gate. This no longer has to be the case. Industrial IOT-enabled condition monitoring and remote service capabilities break the status quo. They provide manufacturers with near real-time visibility of a host of parameters relating to machines in the field that allow potential problems to be identified and fixed before they can occur. And that’s just the start. Many manufacturers are also using these capabilities to monetize support for their machines beyond the warranty period, to encompass the full lifecycle of the machine.
This webinar will address how to increase machine availability and optimize service cost
- Observe and monitor the status and condition of machinery installed in the field, in near real-time
- Greatly improve the efficiency of service and increase customer satisfaction by reducing the significant amount of unexpected downtime
- Open doors to more possibilities such as maintenance-as-a-service, dynamic warranties, and other innovative new revenue streams
Many different applications we see in our daily lives – virtual assistants like Siri and Alexa, facial recognition, self-driving cars heavily rely on deep learning and natural language processing.
Deep learning is emerging as one of the most important developments of this decade. It uses more neural network layers to simulate the human brains’ ability to learn. Using deep learning technologies, computers can be trained to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data.
A chip designed specifically for deep learning offers significant advantages over a network of computers – more cores, optimized for AI, huge on-chip memory giving very low latency for lightning-fast processing. This dissipates a lot of heat that must be removed to ensure overall performance and avoid premature failures.
Join this webinar to learn how Electronic Cooling Solutions Inc – experts in thermal management- collaborated with Cerebras engineers to develop the cooling solution for the biggest chip ever built.
Driving digital transformation together - Realize LIVE Europe provides a dedicated space for exchanging ideas, information, and best practices that enables YOU to advance your careers, drive customer successes, and lead your organizations forward. A place where peers come together and innovate using Siemens’ solutions.
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