This is an introduction, overview, and update for professionals who interact with data privacy functions and want to understand privacy and data security better. We walk through not just the regulatory environment and the ways in which businesses are responding (and failing to respond), but why privacy is important and what's changed to make that so relevant today. Learn about fair information practices, the legislative landscape, and how businesses can best secure their data. Don't get caught short when it comes to protecting the data stored by your organization. Join privacy professional Jeff Jockisch in this interactive workshop to understand how to better protect the sensitive data in your business.

Knowledge graphs are a valuable tool that organizations can use to manage the vast amounts of data they collect, store, and analyze. Enterprise knowledge graphs’ 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. This is a very interactive workshop, so be prepared not only to learn about knowledge graphs but to actually build one.

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. Although the technology is developing rapidly, many projects are still in their early phases while other have hit a wall because they can’t keep up with the volume and variety of data. From selecting data sets and data platforms, to architecting and optimizing data pipelines, to evaluating commercial and open source frameworks, there are many success factors to keep in mind. Most ML models are trained over examples collected at different points in time, and often are trained to predict the future. Machine learning needs the ability to forget — to learn what’s relevant now. Attend this workshop to learn how to iterate on ML models with event-based data, and develop scalable, real-world machine learning pipelines and applications.

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 to business analysts to data scientists. To measure and drive success, an actionable road map is needed, with each phase focused on being lean with a business impact. 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.