Join our experts and attend our inspirational sessions in Bitkom’s Big-Data.AI Summit between April 10th and 11th, in Berlin.
The rise of artificial intelligence (AI) and machine learning (ML) in business and industry is undoubted. It is disrupting a number of areas including point of entry (incident and request creation), automated backend processes and knowledge management.
Everything from supply chain and stock control to the automation of factories and repetitive data entry tasks is leveraging either AI or ML, with a ready supply of clean, accurate, and detailed data essential to drive these algorithms. Being able to fully use the wide range of data collected within the organisation to inform automated decision-making is therefore critical. Asking an AI system to make informed judgements and recommendations when it only has half the information available to it can quickly undermine the effectiveness of any AI or ML investment.
About the event:
Date: 10-11 April, 2019
Place: STATION-Berlin, Luckenwalder Str. 4-6, 10963 Berlin, Germany
Must-sees in the agenda:
April 10th at 2.10pm
Model-driven decision-making, presented by Dirk Lerner, Founder at Tedamoh, and André Dörr, Data Engineer at Exasol
In order to combine data into a logical overall view, FastChangeCo has committed itself to a consistent implementation of the information landscape with methods of data modeling. In this presentation, the speakers will show how FastChangeCo has achieved its goals by rapidly building the required computing capacity in its Hybrid Cloud Data Warehouse architecture using existing enterprise technologies.
All day long at our booth
AI silent disco sessions, animated by Dr. Florian Wenzel, Pre-Sales Engineer at Exasol
This demo highlights how machine learning techniques can be used directly inside the Exasol platform to enable and improve intelligent, data-driven business decisions. We’ll use real-world data provided by a heavy truck manufacturer to predict if truck failures are related to a specific component or not. In the process, we’ll demonstrate that there is no need to export data from Exasol to a different server in order to examine or transform the data