Without AI
In addition to blockchain and AI, CO2-footprint are among the new favorite words of top managers. With the intelligent enterprise, SAP wants to reinvent the supply chain (logistics) and, along the way, reduce CO2-improve the balance sheet of their existing customers.
A lot of buzz, a lot of buzzwords - and so far SAP has hardly anything concrete to show for it. But there is another way: A young computer scientist has rethought the mathematical problem of the traveling salesman without any AI at all. For his outstanding doctoral thesis on the traveling salesman problem, Jakub Tarnawski receives the Dissertation Award of the Gesellschaft für Informatik (GI).
The challenge is to find an optimal travel route for visiting multiple locations. With the algorithm developed by Jakub Tarnawski, it is now possible to calculate an approximation of an optimal route much better than before. The insights gained are of great practical use for logistics companies in particular.
The improvements in route planning that are now possible will save time, money and CO2-emissions savings. "Both the runtime of the algorithm and the degree of approximation to an optimal solution are unique," GI President Professor Hannes Federrath said. (Source: https://gi.de/meldung/verleihung-des-gi-dissertationspreises-2020)
The community hasn't heard anything about new algorithms at SAP for a long time. Are the days of innovation over and buzzwords becoming the new beacons? It's hard to separate the real innovations from the bogus issues - SAP should not create more turmoil in this challenge with the intelligent enterprise.
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