SAP Solution: Deep Learning

High automation rates in document capture are still not the norm. A new method based on Deep Learning takes another step into the future.

Viewed as a whole, it is a simple task - in detail, it becomes complex: Classic machine learning can only be successful with large amounts of data for learning and testing. And this data should be available quickly.

Once again, we are applying the well-known wisdom: the journey is the destination. Currently, every IT provider wants and claims to enrich their products with artificial intelligence, primarily machine and deep learning.

This week, the annual Sapphire took place in Orlando and as an onlooker, you have to wonder if everyone at SAP is still tight - so much openness was announced:

Digitization is changing our buying behavior. Customers are annoyed by product offers they don't need. Retailers are increasingly responding to this desire for more personalization with intelligent solutions.

Andreas Klaus Span is Director and Business Unit Executive for SAP Hana on Power and Cognitive Sales, IBM Power Systems EMEA, IBM Sales & Distribution, STG Sales, IBM Global Markets. He explains the options and benefits of the Power architecture for SAP Hana and S/4 in this E-3 interview.

Before I criticize SAP's service quality, let me compare it with SAP's existing customer Lufthansa: At Miles & More, the service hotline hangs up on me when I get stuck. I wanted to rebook air miles.

Attending cybersecurity conferences these days, all vendors seem to agree: "Artificial Intelligence" is the new silver bullet in the fight against malware, hacks, exploits and the measles.

SAP has a vision: to make the companies of SAP's existing customers smarter. As always, this is not about employees, but about new software that is supposed to flush more license payments into SAP's coffers.

How can companies derive a benefit from large quantities of unstructured or semi-structured customer data - for marketing campaigns, for example? That was the challenge posed by Uniserv as part of this year's Data Pitch initiative.

A few years ago, core competence was a popular term. Then, imperceptibly, the paradigm shift began. More and more often, every IT provider could do everything. Differentiation appears impossible for the user. There is a lack of orientation and credibility.

University of Oxford uses new supercomputer from SAP partner Atos for deep learning program.