December 2011 - Using Meaning Based Computing to Automate Regulatory Compliance

Topic

Systematically achieving desired levels of compliance, governance, and low cost information management are desirable objectives of organizations of any size. This even will concentrate on managing governance, compliance, security, and audit programs in today's complex, distributed organization.

Executives from Autonomy (now a unit of HP) will discuss the broad range of challenges and solution options, as well as Autonomy's approach, called the Intelligent Data Operating Layer (IDOL). They will review case study examples of creating solutions that identify, classify, and manage data "in place" to help organizations not simply address compliance but to automate the function to improve compliance, as well as reduce the associated overhead, complexity, and risks.

Speaker

Bill Tolson, Director, Archiving and eDiscovery Solutions for Autonomy.com

Bill Tolson is currently a Director of Archiving and eDiscovery Solutions at Autonomy / Hewlett Packard and has more than 20 years experience in both the computer storage and archiving solutions markets.

Prior to his position with Autonomy, Bill was a principal consultant and practice manager for a well known west coast consulting company where he led the eDiscovery and compliance consulting business, specializing in storage solutions, e-mail archiving, enterprise content management, and information lifecycle management.

In addition to helping organizations develop and execute global ESI archiving solutions and electronic document retention strategies, Bill has been a featured speaker at many events, including the Government Technology Conferences, AIIM 2009, ARMA International 2011, and TechTarget’s E-mail Archiving Series. Bill is the author of two eBooks, the Know IT All’s Guide to eDiscovery and The Bartender’s Guide to eDiscovery and is the co-author of the book Email Archiving for Dummies. Previously, Bill held senior management positions at Iron Mountain Digital, Hewlett-Packard, Hitachi Data Systems, StorageTek, and Iomega.

Materials