Data Summit 2019

May 21-22, 2019 | USA

Step out of everyday execution mode this May and join us 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 2019, 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 2019 has something for you.

Spotlight

In simple terms, a data scientist’s job is to analyze data for actionable insights. Data scientists spend most of the time on data cleaning, making the data ready for the models and the cool algorithms finding the hidden patterns. Much time is also spent in writing documentation regarding your “discoveries” and delivering the final product. For instance, a data scientist spend 2 weeks analyzing a data set and now it is time to present the results to a business audience.


OTHER PAST CONFERENCES

Data Summit 2022

May 17-18, 2022 | USA

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!

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.

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.

Next Generation Data Centers 2021

November 30-December 1, 2021 | USA

The data center market is currently experiencing significant growth, and is forecast to be worth 59 billion by the year 2025. But while the market is growing, it is also undergoing a structural shift. Technology such as 5G, and the increasing demand for faster connectivity, will mean that in house data centers increasingly give way a hybrid model that blends the best attributes of in-house, colocation and edge computing for enhanced processing power.

Spotlight

In simple terms, a data scientist’s job is to analyze data for actionable insights. Data scientists spend most of the time on data cleaning, making the data ready for the models and the cool algorithms finding the hidden patterns. Much time is also spent in writing documentation regarding your “discoveries” and delivering the final product. For instance, a data scientist spend 2 weeks analyzing a data set and now it is time to present the results to a business audience.

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