Big Data Tech Talk: Opportunities, Challenges, and Risks

This conference aims to provide an understanding of current trends in Data Science and Machine Learning and spread new industrial approaches and cutting edge technologies among the global data science community. The event consists of three simultaneous conference streams (DS Solutions, AI Business, Machine Learning), 30 speakers and about 500 participants.

International Conference on Data Analytics and Management is organised with the objective of bringing together innovative scientists, professors, research scholars, students and industrial experts in the field of Computing and Communication to a common forum. The primary goal of the conference is to promote the exchange of innovative scientific information between researchers, developers, engineers, students, and practitioners. Another goal is to promote the transformation of fundamental research into institutional and industrialized research and to convert applied exploration into real time application. Overall the conference will provide the researchers and attendees with prospects for national and international collaboration and networking among universities and institutions from India and abroad for promoting research.

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 pressure on analytics and BI teams to deliver high-quality information at high speed has never been greater. Today's systems and teams are business-critical—and often mission-critical—assets. Yesterday’s development methods simply aren’t up to the challenge. That’s why more and more analytics and BI teams are turning to agile methodology.