KNIME Data Talks: Bringing Business and Data Science Together; Set for September 29

KNIME, an open source data analytics company, is hosting KNIME Data Talks: Bringing Business and Data Science Together, a free, two-hour online event on Wednesday, Sept. 29, 2021, at which data and technology leaders will speak about how they are advancing the way data is used in organizations. For more information and free registration, please visit https://datatalks.knime.com/fall2021.

"Some form of data analysis exists at every modern organization, but few fulfill the promise of being truly data-driven," said Michael Berthold, co-founder and CEO of KNIME. "Bringing business and data science together, we will explore what it takes to build lasting, maintainable business solutions, from delivering data apps to moving data services to edge devices, and orchestrating data science in hybrid environments."

What: KNIME Fall Data Talks: Bringing Business and Data Science Together

Who: Business and data leaders, business analysts, data scientists

When: Wednesday, Sept. 29, 2021; 10 a.m.-12 p.m. U.S. Central time (CDT) / 5-7 p.m. CEST

Where: Register at https://datatalks.knime.com/fall2021.

Cost: Free

Speakers and Topics:

Data Science and AI in the Real World
Michael Berthold, CEO, KNIME

ML and AI make headlines, but a more practical conversation is about how these impressive techniques fit into the modern enterprise. What does it take to build lasting, maintainable business solutions?

Data on Data Science
Ulrike Hoffmann-Burchardi, Managing Director, Tudor Investment

We're at the doorstep of the Yotta Age: With data collection expected to grow by more than 100 times over the next 10 years, our digital data footprint will surpass 1 yottabyte by 2030. So as companies capture, store and analyze data, what adoption trends are emerging in data infrastructure and data platforms? And what does the data on data science tell us?

From Chaos to Data Sanity
Rachel Ambler, Director of Database and Business Intelligence Systems, Pure Romance, LLC

What do you do when your company's existing data warehouse is the proverbial Wicked Witch of the East and not fit for the purpose? Rachel's talk explains how the company's redesign ? The Yellow Brick Road ? coupled with decent ETL gave them data connectivity. With easy, real-time access to data from different sources, in the cloud or on-premise, Pure Romance has left data chaos and arrived at getting maximum value from its data ? in the Emerald City.

BI and Dashboards Are Only the Tip of the Iceberg
Martin Dodell, Financial Controlling, BMW Group

Improving data quality impacts business decisions. But the effort required to enhance data quality is considerable. Going the extra mile to additionally automate the process often poses an obstacle because of a perceived need for coding skills. Low code data science applications can reduce the effort to improve data quality and contribute to better collaboration between the different stakeholders. And then business intelligence and dashboards are only the tip of the iceberg.

Gaining an Edge on Fighting Fraud
Edgar Osuna, Chief Data and Analytics Officer, TODO1 Services

Protecting customers and their financial transactions from fraud has always been important and continues to be a fascinating playground for data science. The digital evolution requires faster and better solutions than ever before. This presentation builds on an anti-fraud product profiler, which deals with transactional fraud mitigation and shows KNIME Edge as a means to gain tangible efficiencies.

Q&A Session

About KNIME

KNIME, an open source data analytics company, provides software for fast and intuitive access to advanced data science. At the core is the open source KNIME Analytics Platform, a visual workbench providing a wide range of state-of-the-art analytics tools and techniques to handle any use case ? from basics to highly advanced. It is complemented by the commercial KNIME Server which makes data science productive in the enterprise, while staying in the same software environment for deployment, collaboration, management and optimization. Headquartered in Zurich, KNIME has offices in Austin Texas, and Konstanz and Berlin, Germany. Learn more at www.knime.com

KNIME, KNIME Analytics Platform, and KNIME Server are trademarks of KNIME. All other brand names and product names are trademarks or registered trademarks of their respective companies.

Tags: KNIME, KNIME Data Talks, KNIME Analytics Platform, KNIME Server, open source, data science, data scientist, enterprise architect, engineer, developer, data analytics, artificial intelligence, machine learning, AI, ML, low code, virtual conference