Monday, May 18

Preconference Workshops

 

W1. Introduction to Knowledge Graphs

09:00 AM2020-05-182020-05-18

Monday, May 18: 9:00 a.m. - 12:00 p.m.

Knowledge graphs are a valuable tool that organizations can use to manage the vast amounts of data they collect, store, and analyze. An Enterprise knowledge graph’s representation of an organization’s content and data creates a model that integrates structured and unstructured data. Knowledge graphs have semantic and intelligent qualities to make them “smart.” Attend this workshop to learn what a knowledge graph is, how it is implemented, and how it can be used to increase the value of your data.

Speakers:

, COO and Co-founder, Enterprise Knowledge LLC

, Senior Consultant, Enterprise Knowledge

 

W2. Data Ops 101

09:00 AM2020-05-182020-05-18

Monday, May 18: 9:00 a.m. - 12:00 p.m.

DataOps has emerged as an agile methodology to improve the speed and accuracy of analytics through new data management practices and processes, from data quality and integration to model deployment and management. By leveraging automation, data democratization, and greater collaboration among data scientists, engineers, and other technologists, DataOps can help organizations improve the time-to-value of their data. Attend this workshop to hear about the key supporting technologies, real-world strategies, and success stories, and learn how to get started on your DataOps journey.

Speaker:

, Head of Product, Tamr

 

W3. Building Actionable Roadmaps for Data and Analytics

09:00 AM2020-05-182020-05-18

Monday, May 18: 9:00 a.m. - 12:00 p.m.

The starting point in developing and launching an enterprise data and analytics strategy is to understand the interrelationships that are necessary to deliver analytics capabilities. These relationships also account for skills and roles of everyone who works with data, from business executives and business analysts to data scientists. To measure and drive success, an actionable road map, with each phase focused on being lean with a business impact, is required. Attend this workshop to learn how to designate business drivers into analytic capabilities and data priorities, create and implement a road map, and deliver a compelling executive briefing.

Speaker:

, Principal Advisor and CEO, Radiant Advisors

 

W4. Data Science Best Practices

01:30 PM2020-05-182020-05-18

Monday, May 18: 1:30 p.m. - 4:30 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. Extracting actionable knowledge from all your data to make decisions and predictions requires a number of skills, from statistics and programming to data visualization and business domain expertise. Attend this workshop for a deep dive into the fundamentals of data exploration, mining and preparation, and applying the principles of statistical modeling and data visualization in real-world applications.

Speaker:

, Founding President, Caserta

 

W5. Machine Learning Best Practices

01:30 PM2020-05-182020-05-18

Monday, May 18: 1:30 p.m. - 4:30 p.m.

Machine learning is on the rise at businesses hungry for greater automation and intelligence, with use cases spreading across industries. At the same time, most projects are still in their early phases. From selecting datasets and data platforms to architecting and optimizing data pipelines, there are many success factors to keep in mind. The advantages that machine learning offers organizations—the ability to automatically build models that can analyze huge volumes of data and deliver lightning-fast results—have also led to a growth in the availability of both commercial and open source frameworks, libraries, and toolkits for engineers. Attend this workshop for a hands-on course in the enabling technologies, techniques, and applications you need to know to succeed in today’s environments.

Speaker:

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

 

W6. Scaling Self-Service Analytics Across the Enterprise

01:30 PM2020-05-182020-05-18

Monday, May 18: 1:30 p.m. - 4:30 p.m.

Realizing more value from data for transformation projects requires a strategy for establishing self-service data analytics. Insights from companies that have made this transformation, combined with industry best practices, provide guiding principles and recommendations to establish vibrant data communities that are intent on extending the value of analytics. Attend this workshop to determine the best self-service adoption strategies for your organization, prioritize key factors and actions, and set the right metrics for measuring and communicating your growth.

Speakers:

, Principal Advisor and CEO, Radiant Advisors

, Director, Editorial & Content Strategy, Radiant Advisors

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