TDWI Konferenz 2020

München, 26. – 28. Oktober 2020

Sessionsdetails

Vortrag: Mo 1.1
Datum: Mo, 22.06.2020
Uhrzeit: 09:00 - 10:30
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How to detect, analyze and communicate anomalies with AI in complex environments

Uhrzeit: 09:00 - 09:45
Vortrag: Mo 1.1 1)

 

The stream processing of data and the usage of modern unsupervised ML algorithms allows us to detect, cluster and find the root-cause of cascading failures in big interconnected software and hardware landscapes in real-time. We display them in dashboards and act on them via automated maintenance tasks. A chat replaces a traditional alert mailing list. All the used tools are Open Source, the algorithms and the architecture can in principal be adapted to any environment. We anticipate that AI-based monitoring solutions will serve the industry.

Target Audience: Decision Makers, Data Scientists, DevOps, Project Leaders, Founders, AI Enthusiasts, Students
Prerequisites: Basic understanding of machine learning and IT infrastructure
Level: Advanced

Extended Abstract
The existing computing capacities, the developed algorithms and the possibility to store and process a large amount of data enabled the usage of Machine Learning and self-learning algorithms. Nowadays streaming technologies enable to analyze a large amount of data in real-time. Furthermore, today's software and hardware architectures are as distributed as they are interconnected. Such complex systems need a sophisticated monitoring solution to ensure a smooth operation and cost efficiency. We show how one can use machine learning to find, understand and quickly act on cascading failures in big interconnected software and machine landscapes. We present a custom ML solution and an open source tool-chain which addresses this challenge. This AI-powered monitoring can compliment traditional monitoring solutions. In segmenting and grouping problems, it has proven to be superior and fills the gaps of traditional strict rule-based monitoring solutions. To ensure a fast incident response time, automated counteractions are triggered and a chat is used to report alerts. We demonstrate what is possible with modern streaming technologies and machine learning algorithms on a large-scale productive system. It is anticipated that this and more sophisticated future AI-based monitoring solutions, will serve the industry worldwide to ensure a more efficient operation.

 

Predictive Analytics - Bestandsprognosen

Uhrzeit: 09:45 - 10:30
Vortrag: Mo 1.1 2)

 

Diese Session stellt das Predictive-Analytics-Projekt zur automatisierten Vorhersage der Bestandsveränderung vor. Im Rahmen dieses Projektes wurden verschiedene Methoden der Data Science einander gegenübergestellt und bewertet. Dabei spielt insbesondere der Transfer dieser Algorithmen in die Unternehmenspraxis eine zentrale Rolle.

Zielpublikum: Data Scientist, Anwender, Projektleitung und Strategie
Voraussetzungen: Grundkenntnisse Data Science, Projekterfahrung wünschenswert
Schwierigkeitsgrad: Fortgeschritten

 

Sponsoren TDWI München 2020

  • Ab Initio Software Germany GmbH Platinsponsor
  • Adastra GmbH Platinsponsor
  • Data Virtuality GmbH Platinsponsor
  • Denodo Technologies Platinsponsor
  • Exasol Platinsponsor
  • INFOMOTION GmbH Platinsponsor
  • itelligence AG Platinsponsor
  • NTT DATA Deutschland Platinsponsor
  • pmOne Group Platinsponsor
  • Qlik Platinsponsor
  • SAP Deutschland SE & Co. KG Platinsponsor
  • Sopra Steria Platinsponsor
  • Talend Germany GmbH Platinsponsor
  • Teradata GmbH Platinsponsor
  • Trivadis GmbH Platinsponsor
  • 2150 GmbH | Distilling business insight. Goldsponsor
  • adesso AG Goldsponsor
  • Alation Goldsponsor
  • BE-terna GmbH Deutschland Goldsponsor
  • blueforte GmbH Goldsponsor
  • CIMACON GmbH Goldsponsor
  • CP Corporate Planning AG Goldsponsor
  • Dataiku Goldsponsor
  • erwin, Inc. Goldsponsor
  • EVACO GmbH Goldsponsor
  • heureka e-Business GmbH Goldsponsor
  • infologistix GmbH Goldsponsor
  • INFORM DataLab Goldsponsor
  • INFORMATION WORKS GmbH Goldsponsor
  • integration-factory GmbH & Co. KG Goldsponsor
  • Marmeladenbaum GmbH Goldsponsor
  • Neo4j Goldsponsor
  • OPITZ CONSULTING Goldsponsor
  • PROCON IT AG Goldsponsor
  • SYCOR GmbH Goldsponsor
  • Syncwork AG Goldsponsor
  • TIBCO Goldsponsor
  • Vertica Goldsponsor
  • Alligator Company Silbersponsor
  • areto consulting GmbH Silbersponsor
  • Axians IT Solutions GmbH Silbersponsor
  • biGENiUS Silbersponsor
  • bluetelligence GmbH Silbersponsor
  • BSgroup Data Analytics AG Silbersponsor
  • cimt ag Silbersponsor
  • CINTELLIC Consulting Group Silbersponsor
  • Data Insights GmbH Silbersponsor
  • DataMerlin Silbersponsor
  • dataspot GmbH Silbersponsor
  • datasqill - The Post-ETL Silbersponsor
  • Disy Informationssysteme GmbH Silbersponsor
  • DWH42 Silbersponsor
  • Genesee Academy Silbersponsor
  • graphomate GmbH Silbersponsor
  • m2data Silbersponsor
  • PRODATO Integration Technology GmbH Silbersponsor
  • QuinScape GmbH Silbersponsor
  • saracus consulting GmbH Silbersponsor
  • Solecon Silbersponsor
  • sonra Silbersponsor