TDWI Las Vegas Conference

February 9-14, 2020 | USA

TDWI Las Vegas addresses today’s top data and analytics challenges. Our comprehensive agenda covers the most important tactics and best practices for high-impact data insights, taught by expert instructors whose goal is to get you to the next level. Learn to build scalable, agile architectures to support diverse analytics efforts, manage data security and quality challenges, and enable a self-service environment across the enterprise. Regardless of title or department, everyone has a role in the future of data. TDWI is dedicated to helping you be ready for success in yours.

Spotlight

The vast majority of social science research uses small (megabyte- or gigabyte-scale) datasets. These fixedscale datasets are commonly downloaded to the researcher’s computer where the analysis is performed. The data can be shared, archived, and cited with wellestablished technologies, such as the Dataverse Project, to support the published results. The trend toward big data—including large-scale streaming data—is starting to transform research and has the potential to impact policymaking as well as our understanding of the social.


OTHER PAST CONFERENCES

Leading with Big Data and Analytics: From Insight to Action

December 13-16, 2021 | USA

Leveraging big data, business analytics and artificial intelligence (AI) to deliver solutions to complex challenges is not solely the responsibility of technology and data science specialists. Rather, it’s the responsibility of organizational leadership to understand and direct these approaches to achieve their business goals. This program is designed to help senior leaders effectively manage and seize opportunities in the new environment of advanced analytics. Participants will gain a working knowledge of data science, which will enable leaders to identify the challenges that analytics, machine learning, and artificial intelligence can solve. It will also help them make the most effective investments in people, data, systems, culture and organizational structure. Led by world-class Kellogg faculty and former C-Suite practitioners experienced in working with senior executives and organizations who have successfully scaled analytics in their organizations, this cutting-edge program delivers sophisticated material in an accessible, easy-to-understand format that is immediately applicable to real-world practice.

International Conference on Data Applications and Management

November 29-December 1, 2021 | UK

This conference reviews and discusses, the recent trends, opportunities, and pitfalls of data management and how it has impacted organizations to create successful business and technology strategies and remain updated in data technology.

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.

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.

Spotlight

The vast majority of social science research uses small (megabyte- or gigabyte-scale) datasets. These fixedscale datasets are commonly downloaded to the researcher’s computer where the analysis is performed. The data can be shared, archived, and cited with wellestablished technologies, such as the Dataverse Project, to support the published results. The trend toward big data—including large-scale streaming data—is starting to transform research and has the potential to impact policymaking as well as our understanding of the social.

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