Our next meetup will take place on Tuesday November 20 at 6pm. Please plan on arriving by 5:40pm at the latest, as the lines downstairs are becoming a real problem that delayed the start of the event the last few meetups.
This month, we're going to focus on the application of Big Data technologies across a variety of verticals: finance, sports, law and energy.
Christopher Ahlberg, CEO, Recorded Future. RF's mission is to record and analyze what the world knows about the future. It is headquartered in Cambridge, MA, with offices in Göteborg, Sweden and Arlington, VA. They are attacking a hard problem – to organize the web in a radically new and useful way. The world’s 24×7 media flow is filled with temporal signals, including reports of what’s transpired or statements of what’s expected to come. Recorded Future’s linguistic and statistical algorithms extract time-related information and through temporal reasoning they structure the unstructured. They help users understand relationships between entities and events over time. In doing so, Recorded Future has formed the world’s first temporal analytics engine. Recorded Future's customers include Fortune 500 companies, the most advanced financial institutions, and leading government agencies in the world.
Josh Becker, CEO, Lex Machina. Lex Machina provides unique and trusted intellectual property (IP) litigation data and predictive analytics to leading companies, law firms, consultants and public interest users. Companies and law firms are struggling to cope with the recent explosion in patent litigation. Lex Machina brings big data to the legal realm and helps companies anticipate, manage, and win patent and other IP law suits. It achieves this via its state-of-the-art natural language processing technology, which was developed at Stanford University.
Nik Bonaddio, CEO, numberFire. numberFire is the next generation sports analytics platform. "We take the unstructured and misleading data that exists all around sports and mine it for unprecedented insight that allows us to predict player and team performance better than any competitor. The first step of our process involves digging into the box score. We know that it means a lot more to throw for 300 yards against the Steelers than it does against the Browns, so why simply use yards as an indicator for how good a quarterback is? Using a series of mathematical models, we break down the action in order to have a better and more accurate understanding of what teams and players are performing well and which are paper champions. The next step of process involves using the power of predictive and regressive modeling to more accurately project future performance. Using our advanced metrics combined with state-of-the-art predictive algorithms, we leverage the power of science to come up with the most accurate, data-driven projections around."
Hjalmar Gislason, CEO, DataMarket. (the session will be focused on DataMarket's recently launched energy product). "DataMarket helps business users find and understand data, and data providers efficiently publish their data and reach new audiences.DataMarket's unique data portal - DataMarket.com - provides access to thousands of data sets holding hundreds of millions of facts and figures from a wide range of public and private data providers including the United Nations, the World Bank, Eurostat and the Economist Intelligence Unit. The portal allows all this data to be searched, visualized, compared and downloaded in a single place in a standard, unified manner. DataMarket’s data publishing solutions allow data providers such as market research companies, financial institutions and analytics firms to easily publish their data on DataMarket.com and on their existing websites through embedded content and branded versions of DataMarket’s systems, enabling all the functionality of DataMarket.com on top of their own data collections."