Predictive Analytics is a growing segment of the big data analytics market. However, simply extracting time/date references and plotting them on a future time plot might not be enough for high-risk environments like the Intelligence Community and Financial Service market. In order to get a comprehensive understanding of potential future events it is necessary to include Human Intelligence as well as leveraging a higher level of entity resolution. Simple entity extraction does not allow for a level of automated understanding of the important events based on their occurrence in context. HumINT can add complications of multiple languages and dialects which require software that resolves entities without bias and can be easily be trained to adapt to new inputs.
This presentation will provide a detailed understanding of the latest techniques in entity resolution and simplified training of machine learning models and the direct impact on the quality of a comprehensive predictive analytics solution. Specific use cases in the financial services and intelligence communities will be featured.
Specific issues discussed:-Entity Resolution including geo and temporal data – Latest techniques in simplified model training – Adapting varied HumINT sources to the goal of Predictive Analytics
This session is sponsored by Digital Reasoning
Rob Metcalf serves as President and COO of Digital Reasoning and is responsible for the business and sales strategy of the company. Rob Metcalf brings over a decade of experience in technology and information services businesses around the world. Prior to joining Digital Reasoning, Rob helped build software and information services businesses for LexisNexis in Mexico City, Toronto and Raleigh. As Vice President of Operations for Global Practice Management, Rob oversaw numerous acquisitions and key investments at the forefront of the company’s solution strategy. Prior to LexisNexis, Rob worked in Boston and San Francisco with The Parthenon Group, a strategy consultancy. Rob earned his MBA from Harvard Business School and his AB, Summa Cum Laude, from Princeton University.
Laks has over 20 years of experience in various capacities in marketing, credit risk management, and customer portfolio management, with a focus on analytics and decision automation technologies. He has worked with a number of clients in the retail banking, mortgage, and retail industries addressing and solving various business problems, such as customer acquisition, originations, account management, attrition, collection, and fraud management. Before coming to Opera Solutions, Laks was with Fair Isaac as Senior Director of Innovation Management. There, he managed all aspects of new product development by identifying, evaluating, and developing new business opportunities in the Financial Services and Retail sectors. Laks also served as the Director of Product Management and the Director of Go-To-Market Management at Fair Isaac. In these roles, he led the expansion of current products into new markets, as well as the creation of new analytical decisioning products. Prior to joining Fair Isaac, Laks was CEO of ExpenseAdvisor, Inc., a start-up company with a novel, proprietary electronic bill payment-based product platform. Previously, Laks held positions with Booz Allen Hamilton and Syntel, Inc. Laks holds an MBA from UPenn’s Wharton School with concentrations in Finance and Entrepreneurial Management, as well as a BS in Electrical Engineering from NIT, India.
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