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Espresso AI: Q&A mit Mathias Golombek, CTO bei Exasol
/in Artificial Intelligence, Big Data, Business Analytics, Business Intelligence, Data Engineering, Data Science, Main Category/by RedaktionWie Exasol als Data Warehouse Datenbankanbieter KI für Unternehmensanalysen mit Espresso AI effizient verfügbar macht.
Video Interview – Interim Management für Daten & KI
/in Interviews/by RedaktionInterview über Interim Management: Wie Unternehmen Data Science, Business Intelligence, Process Mining und KI zusammenführen können.
Data Unplugged – Event Empfehlung
/in Events, Recommendations/by RedaktionDie data:unplugged Veranstaltung eines der größten Data und KI Events des Jahres 2024 sein. Jetzt noch schnell dabei sein!
Podcast – KI in der Wirtschaftsprüfung
/in Artificial Intelligence, Audit Analytics, Interviews/by RedaktionDie Verwendung von Künstlicher Intelligenz (KI) in der Wirtschaftsprüfung, wie Sie es beschreiben, klingt in der Tat revolutionär. Die Integration von KI in diesem Bereich könnte enorme Vorteile mit sich bringen, insbesondere in Bezug auf Effizienzsteigerung und Genauigkeit.
Kappa vs Lambda Architecture
/in Data Engineering, Data Warehousing/by Lydia SongBig Data Analytics stands apart from conventional data processing in its fundamental nature. In the realm of Big Data, there are two prominent architectural concepts that perplex companies embarking on the construction or restructuring of their Big Data platform: Lambda architecture or Kappa architecture.
Object-centric Process Mining on Data Mesh Architectures
/in Artificial Intelligence, Big Data, Business Analytics, Business Intelligence, Cloud, Data Engineering, Data Mining, Data Science, Data Warehousing, Industrie 4.0, Machine Learning, Main Category, Predictive Analytics, Process Mining/by Benjamin AunkoferObject-centric Data Modelling for Process Mining and other Applications on the Cloud Data Mesh Architecture
Data Scientist Weiterbildung | datascientest.com
/in Certification / Training, Education / Certification, Gerneral/by RedaktionWeiterbildung zum Data Scientist in Teilzeit über 9 Monate oder als Bootcamp Vollzeit in 3 Monaten mit DataScientest.com
Data Literacy Day 2023 by StackFuel
/in Carrier, Certification / Training, Education / Certification, Events, Gerneral, Insights, Recommendations/by RedaktionDer Data Literacy Day 2023 findet am 7. November 2023 in Berlin oder bequem von zu Hause aus statt. Eine hybride Veranstaltung zum Thema Datenkompetenz.
Wie man Web Scraping für den Vertrieb nutzt
/in Data Engineering, Data Mining, Data Science, Use Cases/by davidschneiderVertrieb digitalisieren und die Rolle der Datenbeschaffung mit Web Scraping für die Vertriebsdatengewinnung.
Why using Infrastructure as Code for developing Cloud-based Data Warehouse Systems?
/in Cloud, Data Engineering, Infrastructure as Code, Main Category, Tutorial/by Benjamin AunkoferInfrastructure as Code significantly enhances the development and maintenance of Cloud-based Data Infrastructures.