Data Science, Law, Information Governance and Data Asset Protection

Description:
Data science is beginning to transform information security, privacy, records management, defensible disposal, intellectual property and trade secrets protection programs, not just through rendering old programs and contracts inadequate, but by pointing to new, big data-driven information governance programs, data asset management programs and data license agreements. This is most obvious now in information security, where intrusion detection has been overlaid with exfiltration prevention based on high-velocity analytics, and in new attention to due diligence regarding data rights, but it is spreading quickly, and will change product liability before it is through. This presentation delivers a legal framework designed to enable data scientists to communicate with all of the areas of law that they are changing, as well as an update on big data-driven changes in all of the above areas of law.

About the Speaker:
Jon Neiditz leads the Big Data, Privacy and Information Security Practice at Kilpatrick Townsend, a leading information law firm. He provides practical, inexpensive ways to handle security breaches and privacy while protecting data assets and increasing trust. Follow @jonneiditz, read his Big Data Tech Law Blog, and/or connect at linkedin.com/in/informationmanagementlaw