May 10 - OEM Webcast on Artificial Intelligence

[AudreyCox]

Taking an Artificial Intelligence (AI) approach in the transformation of the OEM market

Users just started to see the real benefits of AI’s application to everyday devices. The way humans interact with technology has completely changed; AI and Machine Learning provide users with the content and information they like and want on their device without having to ask for it.

Predicting when a machine will fail is one thing, but HPE hopes its artificial intelligence service will help businesses augment their maintenance programmes. OEMs are consistently driven to innovate and evolve. AI opens up an accelerated path to stay ahead of the competition and further enhance the value of your solutions. Join Hewlett Packard Enterprise (HPE) OEM for this insightful webcast showing how OEMs can adopt, embrace and capitalize on Artificial Intelligence.

During the webcast, HPE will explore the current uses of AI, how to create better customer experiences and deliver efficiently. Also, find out how to leverage HPE expertise to help you as an OEM accelerate your AI journey.

HPE AI and Data-Driven Services will help you every step of the way from big data foundation to AI-driven automated business outcomes. AI and machine learning used as an extension of data analytics – an area that enterprises have been exploiting for some years for churn reduction, marketing ROI, and improved customer experience.

The webcast will be presented by Aalap Tripathy, Expert Technologist, HPE and Gerald Kleyn, Director of Edgeline Platform R&D & Strategy. AI not only help operators and OEMs to analyze data but also predict, recommend and make automated decisions. Only HPE OEM has the expertise, edge to core technologies and partner ecosystem to help explore different use cases, experiment with AI and data technologies, and build the solution to be enterprise-ready. HPE OEM will benefit at all stages of the journey from formulating a roadmap through implementation and data migration.

Date: Thursday, May 10, 2018

Time: 10:00 AM Central European Summer Time/ Pacific Daylight Time

Duration: 1 hour

Webcast Registration here