Description:

Thinking of building an entity resolution and analysis application yourself? STOP! DON'T DO IT! Life is just too short. In this webcast, hear from a solutions architect and a product manager who talk to organizations every day about Hadoop and their entity resolution and analysis requirements. They'll describe the critical technical capabilities needed and the pitfalls of trying to build it yourself. This webcast will explore:

• Scalability: How to support large-scale use cases
• Accuracy at scale: How to achieve maximum performance while retaining extreme accuracy
• Entity resolution: "Black box" machine learning approaches versus a statistical rules-based approach
• Relationship resolution: Why to whom you are connected matters and creates cleaner entities
• Entity and relationship analysis: How to distill big data into actionable insight
• Flexibility: Flexibility of your own solution versus the power of off-the-shelf
• Competitive advantage: Is homegrown technology a competitive advantage for your organization?

About Dave Moore, Solutions Architect

Dave Moore is a solutions architect for commercial markets at Novetta Solutions. He previously led the development of identity intelligence technologies at IBG, A Novetta Solutions Company. He has supported research and engineering programs within the US Department of Defense, US Department of Homeland Security, and Defence Research and Development Canada, within the domains of biometrics, cyber security, and privacy enhancing technologies. Dave also blogs about privacy and technology.

About Jennifer Reed, Director of Product Management

Jenn Reed is responsible for defining and implementing product strategy for Novetta Entity Analytics. In this role, she provides oversight of technical and marketing strategy for the product and establishes and maintains relationships with clients, partners, and analysts, seeking new market opportunities. Jenn joined Novetta after serving as a Senior Product Manager at IBM, where she was responsible for overseeing MDM strategy for Big Data, including unstructured data correlation, for which she was a co-inventor, and entity resolution on Hadoop. With more than 20 years of technical expertise and background in financial services and government, Jennifer is passionate about turning that knowledge into easier to implement solutions that solve the highly complex, real-world needs of Big Data customers.