Data Science Salon

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.

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!

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.

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.