Venue
Virtual

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Event Date Wed May 10 UTC - Thu May 11 UTC (over 1 year ago)
In your timezone (EST): Tue May 9 8:00pm - Wed May 10 8:00pm
Location Virtual
Region All
Details

The Summit is your platform for the topics of data labs, IT/AI strategy and IT/AI infrastructure, advanced analytics, neural networks & deep learning, computer vision, natural language processing, MLOps etc. Experience 2 days of virtual sessions in the Context of AI, Big Data, Machine and Deep Learning Platforms, Business Analytics, Technical Computing, Development Tools and Programming Languages, Apps for Building, Training and Comparing Models, Scaling Algorithms for Out-of-Memory Data, CPU and GPU Clusters, Software for natural language understanding as well as solutions in the areas of automated driving, econometric modelling, predictive maintenance and signal processing.

ScaleUp 360° AI in Business Summit:
• AI as a driver of digital transformation: What do IT strategies for the use of AI & machine learning in an enterprise context look like?
• AI Between Savings and Investing - How do companies balance savings through automation versus spending on new tools and technologies for their development teams?
• AI & IT Infrastructure - How can requirements regarding capacities, resources, personnel and data management be managed?
• AI meets Legacy Systems - How can AI-based technologies be integrated into existing systems and landscapes?
• From data lab to business value: How to get scalability and productivity in machine learning projects?
• Lab, IT & Business Interplay – What tools enable data science and IT operations teams to deploy, monitor and manage machine learning models together?
• Machine Learning at Speed ​​- What do platforms look like on which machine learning and deep learning models can be developed and trained quickly and efficiently?
• Data Scientists at Speed ​​- How can companies manage tools and infrastructure in a meaningful way (or have them managed) so that the data science teams can concentrate fully on the development of new ML applications?
• Neural networks & deep learning, computer vision & embedded vision, speech recognition and natural language processing - which machine learning models and methods are worthwhile for which use cases?
• AI & Security Automation - How can machine learning systems and training data be protected from harmful influences?

Speakers

2023 Speakers

Dr. Henrik Hahn
Chief Digital Officer & CEO Evonik Digital GmbH, Evonik

Christian Nieke
Head of Software Engineering, Commerzbank

Dr. Florian Johannsen
Head of Data Science, Mobilcom Debitel

Dr. Nora Reich
Product Owner Big Data & Artificial Intelligence, KFW

Klaus Dragosits
Senior Data Scientist, Vice President, Credit Suisse

Rachel Berryman
Deputy Head of AI Center of Excellence, 50 Hertz

Thomas Craessaerts
Data Scientist, Ella Group

Hannah Lantermann
Senior Data Scientist, Basler

Niels Ozdyk
Software Engineer / Data Scientist, Basler

Martin Lauber
Data Scientist & Digital Partner, Die Post

Dr. Marcus Groß
Senior Data Scientist, FlixBus

Dennis Jaskowiak
Principal Solution Architect, Qlik

Sasha Mitrovich
Senior Sales Engineer, Snowflake

Leendert Kollmer
Senior Data Architect, Denodo

Jörg Meiners
Data Architect, Denodo

Sponsors & Partners

2023 Sponsors and Partners

PRIMARY PARTNER:
• Denodo

THOUGHT LEADERSHIP PARTNER:
• Snowflake

CONTENT PARTNER:
• Qlik

MEDIA PARTNERS:
• BI Scout
• Splunk
• TigerGraph
• Avantum Consult Business Analytics
• Databricks
• Automation Anywhere
• Neo4j
• Cloudera
• PGS Software