TDWI Virtual Summit

June 9-11, 2020 | USA

TDWI’s Virtual Summit is a free event that empowers leaders with actionable insights to maximize your company’s return on data and analytics. This interactive online event provides strategies and best practices to enable data literacy and self-service analytics, maximize the impact of machine learning and predictive analytics, and build a modern data architecture to support it all.

Spotlight

Amazon re:Invent is always a rewarding experience, providing not only opportunities to demonstrate Panoply’s automated data warehouse solutions to thousands of IT professionals, but also to gather feedback from industry professionals, as a means to gauge cloud-industry trends and understand the market’s most pressing needs. In that spirit, the company conducted a survey during our time at re:Invent 2016 that offers insight into today’s use of data warehousing systems, in particular Redshift, while also exposing users’ biggest challenges and advantages.The survey includes input from more than 800 re:Invent attendees who answered a ten-question survey, investigating level of satisfaction with their current data warehousing solution and exploring more deeply the grounds for their responses. The respondents come from diverse sectors, and hold a wide variety of positions or specialties within their organizations.


OTHER PAST CONFERENCES

International Conference on Data Science and Computational Intelligence

December 20-22, 2021 | UK

DSCI aims to identify the challenging problems faced by the development of innovative knowledge and information systems, and to shape future research directions through the publication of high quality, theoretical and applied research outcomes. DSCI is going to highlight the advances in frontiers and applications of general areas such as big data, artificial intelligence, social computing, data mining, information retrieval, and machine learning. DSCI is uniquely placed to deliver fresh perspectives on data science.

World Data Summit

May 18-20, 2022 | Netherlands

By 2022, the global big data and business analytics market is expected to generate 274.3 billion U.S. dollars a year, according to Statista. While big data collection grows in geometric progression, only about 3 percent of it merges into the big data ecosystem. This research already highlights the challenge of finding useful data amongst the rest.

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 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.

Spotlight

Amazon re:Invent is always a rewarding experience, providing not only opportunities to demonstrate Panoply’s automated data warehouse solutions to thousands of IT professionals, but also to gather feedback from industry professionals, as a means to gauge cloud-industry trends and understand the market’s most pressing needs. In that spirit, the company conducted a survey during our time at re:Invent 2016 that offers insight into today’s use of data warehousing systems, in particular Redshift, while also exposing users’ biggest challenges and advantages.The survey includes input from more than 800 re:Invent attendees who answered a ten-question survey, investigating level of satisfaction with their current data warehousing solution and exploring more deeply the grounds for their responses. The respondents come from diverse sectors, and hold a wide variety of positions or specialties within their organizations.

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