Monday, May 21

Preconference Workshops - Morning

 

W1. Introduction to Hadoop

Monday, May 21: 9:00 a.m. - 12:00 p.m.

Hadoop has forever changed the economics and dynamics of largescale computing, and its use among enterprises looking to augment their traditional data warehouses continues to grow. Join this workshop to explore the basics of Hadoop, including the Hadoop Distributed File System, MapReduce, and the budding ecosystem of Hadoop software projects. Learn best practices for installing and configuring Hadoop in your environment, managing its performance, and developing Big Data applications.

Speaker:

, Senior Technical Director, MapR

 

W2. Introduction to Data Science

Monday, May 21: 9:00 a.m. - 12:00 p.m.

Data science, the ability to sift through massive amounts of data to discover hidden patterns and predict future trends, may be the “sexiest” job of the 21st century, but it requires an understanding of many different elements of data analysis. This workshop dives into the fundamentals of data exploration, mining, and preparation, applying the principles of statistical modeling and data visualization in real-world applications.

Speaker:

, Founding President, Caserta

 

Monday, May 21

Preconference Workshops - Afternoon

 

W3. Introduction to Cognitive Computing

Monday, May 21: 1:30 p.m. - 4:30 p.m.

Cognitive computing encompasses many technologies that advance the intelligent processing of high-level information. Applications in a variety of situations require tailoring the technologies to business requirements. This workshop introduces the components of cognitive computing for business uses.

Speaker:

, Co-founder & Managing Director, Cognitive Computing Consortium

 

W4. Introduction to Machine Learning

Monday, May 21: 1:30 p.m. - 4:30 p.m.

From recommender systems to disease diagnosis, machine learning is revolutionizing the process of complex decision making by enabling the analysis of bigger, more complex datasets and the delivery of faster, more accurate results. This workshop examines the statistical and algorithmic principles for developing scalable, real-world machine learning pipelines and applications.

Speaker:

, Assistant Professor of Analytics, Information Management/Business Analytics, Montclair State University and Drexel University

 

W5. Introduction to Blockchain

Monday, May 21: 1:30 p.m. - 4:30 p.m.

Blockchain, most widely known as the underlying technology for cryptocurrencies, transcends that narrow niche. As a distributed ledger system, blockchain technology can benefit government and corporate transactions as well. Learn the basics of blockchain in this workshop.

Speaker:

, Founder, Blockchain U Online

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