KDD 2019

25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING. Save the Date. The annual KDD conference is the premier interdisciplinary conference bringing together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data.

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OTHER PAST CONFERENCES

Data and Analytics Done Right

September 28, 2023 | USA

Data is at the center of everything your enterprise does. It informs your marketing and production, and underpins every customer and user experience. Argyle’s DATAx virtual event will help you use your data to its full potential while keeping it accessible and secure. From enhancing data governance to the latest thinking on information architecture, DATAx virtual will get you up to speed on trends, news and advancements to help your company turn data into revenue. Attend DATAx virtual on September 28, 2023 to learn how cutting-edge enterprises are using data-intensive technologies like AI and machine learning to delight customers and stay ahead of the competition. You’ll gain key insights to enhance your business’ data and analytics strategy.

2023 ANA Data, Analytics & Measurement Conference

August 21-23, 2023 | USA

For those registered to attend the conference in person, the ANA has negotiated a special room rate of $209 per night at the host venue, the Swissôtel Chicago, a newly renovated and award-winning luxury hotel overlooking the Chicago River and Lake Michigan, and just steps from the Magnificent Mile.

DataConnect Conference

July 20-21, 2023 | USA

The annual DataConnect Conference brings together industry leaders, technical experts and entrepreneurs to discuss the latest trends, advancements, technologies, and innovations in data, analytics, machine learning, and AI.

Data Lakehouse meet-up, London

October 17, 2023 | UK

To effectively manage the explosion of data volumes and deliver high-performance analytics, many businesses are choosing to move to a data lakehouse, an architecture that combines the flexibility and scalability of data lake storage with the data management, governance, and analytics capabilities typically associated with a data warehouse.