North American SAP Conference on Treasury Management

November 4-6, 2019 | USA

Hear the latest SAP strategy and road map for Treasury Management, as well as updates from the SAP solution management team. Participate in one of six dedicated pre-conference workshops, taking an in-depth look into the SAP Treasury Management solution portfolio and getting your questions answered. Learn from a diverse range of customers through business-focused case studies and learn about business drivers, implementation experiences, and ROI.

Spotlight

Swarm is a browser-based platform offering team-driven data preparation and a centralized data marketplace to speed collaboration and drive governance across the enterprise. KwowledgeSTUDIO is a wizard-based predictive analytics and machine learning solution that makes data science powerful but not complicated. Organizations are challenged by not having enough resources to leverage data science as a means to enable new insight from data that can influence strategic business decision making. Often data preparation and data science tasks are completed by siloed teams, with no controls or lineage, forcing continuous investigations of models to establish trust in the process and the data used. Lack of confidence in the data science approach leads to delays in creating outputs for the business to use.


OTHER PAST CONFERENCES

2022 Data Analytics Summit

March 30, 2022 | USA

The Data Analytics Summit brings together hundreds of professionals to engage in topics related to data analytics. Attendees represent the Commonwealth of Pennsylvania, as well as representatives from federal and local governments. Attendees also represent private and non-profit organizations. Attendee demographics are a mix between practitioners, front-line staff, and executive management.

Data Reliability Engineering Conference 2021

December 14, 2021 | UK

Data has become a core competitive advantage for modern organizations — making data reliability more important than ever. Driven by this growing need, the tools, techniques, and best practices for keeping data fresh, accurate, reliable, and trustworthy are rapidly evolving. This renaissance for data tools and best practices is changing the game up and down the entire data stack. To unlock the full potential of their organization’s data, every organization needs to take an engineering approach to data reliability.

The Data Science Conference

May 12-13, 2022 | USA

The Data Science Conference is a uniquely excellent conference. Advisory board, speakers, and attendees come from all fields of business analytics and academia like data science, big data, data mining, machine learning, artificial intelligence, or predictive modeling. What brings them here is their common desire to attend an event without being prospected by other attendees.

Data Summit 2022

May 17-18, 2022 | USA

We're excited to welcome our community of data professionals back to Boston this May for three days of practical advice, inspiring thought leadership, and in-depth training. Join your peers to learn, share, and celebrate the trends and technologies shaping the future of data. See where the world of big data and data science is going, and how to get there first. At Data Summit 2022, you’ll hear the innovative approaches the world’s leading companies are taking to solve today’s key challenges in data management. Whether your interests lie in the technical possibilities and challenges of new and emerging technologies or using Big Data for business intelligence, analytics, and other business strategies, Data Summit 2022 has something for you!

Spotlight

Swarm is a browser-based platform offering team-driven data preparation and a centralized data marketplace to speed collaboration and drive governance across the enterprise. KwowledgeSTUDIO is a wizard-based predictive analytics and machine learning solution that makes data science powerful but not complicated. Organizations are challenged by not having enough resources to leverage data science as a means to enable new insight from data that can influence strategic business decision making. Often data preparation and data science tasks are completed by siloed teams, with no controls or lineage, forcing continuous investigations of models to establish trust in the process and the data used. Lack of confidence in the data science approach leads to delays in creating outputs for the business to use.

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