George Socha, co-founder of the Electronic Discovery Reference Model, provides an excellent explanation of iconic and ubiquitious infographics: the EDRM and the IGRM. E-Discovery 101 includes a technical discussion about the importance of metadata. Highlighted is the power to impact decision-making though effective presentation of digital evidence. IGRM Project Leaders include Marcus Ledergerber, Aliye Ergulen, and Reed Irvin. Since 2005 the e-discovery community has relied on EDRM for leadership, standards, best practices, tools, guides and test data sets to improve electronic discovery and information governance.
Ten electronic discovery predictions for 2011 from Herb Roitblat of OrcaTec.
- ESI volumes will continue to grow
- Automation will become increasingly necessary to deal with ESI
- Unit costs for ESI processing will decrease, but more slowly than volume increases
- Cloud and social media will become more prevalent communication tools and more of a challenge
- Data archiving will become more widely adopted
- Legal hold processes continue to be automated
- Multimedia convergence will raise privacy issues as business and personal technology become increasingly difficult to separate.
- Advances in technology affect what is seen as proportionate and what is seen as inaccessible
- Early case assessment becomes full cycle data analysis
- Corporations increasingly demand control over their eDiscovery processes and expenses
Volume, Velocity, Variety. Big Data is the next big thing in computing. This video explains Big Data characteristics, technologies and opportunities.
Self-driving cars were just the start. What's the future of big data-driven technology and design? In a thrilling science talk, Kenneth Cukier looks at what's next for machine learning — and human knowledge.
Knowing what your users are doing on your site in real time and matching what they do with more targeted information transforms into better conversion rate and better user satisfaction, which means more money in the end. That's been one of the primary drivers for the transition of many of the batch oriented analytics system into real time. FaceBook real time analytics system is a good reference on that regard.
In the first part of the session we will understand and learn from Facebook's experience and the reason they chose Hbase over Cassandra. In the second part of the session we learn how we can build our own Real Time analytics system, achieve better performance, and make the deployment and scaling significantly simpler using commonly used Java API and frameworks such as JPA and Spring ontop of a scale-out architecture based on Cassandra and GigaSpaces.
At a time when security teams need to know literally everything that is going on in their infrastructure, how can your team utilize this information in the most efficient way possible and stay one step ahead of attackers? In this segment, you'll meet RSA's Critical Incident Response Team as they explore how RSA technologies such as Security Analytics can give your team the total visibility they need to view and analyze security threats.
Karl Schieneman, Founder and Owner of Review Less and friend of JurInnov, talks with nationally known machine enabled learning experts Herb Roitblatt, Chief Scientist with OrcaTec and one of the principals with the influential not for profit E-Discovery Institute, and David Lewis, a consulting computer scientist and a leading researcher in text classification and text mining. This episode explores the important role of statistics in electronic discovery for both newer software programs as well as traditional linear review approaches. We cover statistical concepts that lawyers should be familiar with when assessing large document collections. In addition, we discuss how statistical methods such as random sampling can prove useful for arguing the process utilized is defensible and how to figure out if you are heading in the right direction in an active project.
20 years ago, Tim Berners-Lee invented the World Wide Web. For his next project, he's building a web for open, linked data that could do for numbers what the Web did for words, pictures, video: unlock our data and reframe the way we use it together.