Some companies are achieving dramatic returns on their digital investments, thanks to much more powerful technologies—and a set of key strategies. Those agile players are building a financial advantage that will be more difficult to overcome with each passing year.
A company working for John Kasich's super-PAC is trying to create a “social graph” of possible supporters by scanning high school yearbooks, small-town newspapers, and sports-team rosters...
As more of these calls—to donors, volunteers, and voters—are completed, Applecart’s statistical models will evolve to reflect refined knowledge about which categories of social connections are most potent at shaping specific types of political behavior. The lure of attending a friend’s fundraiser may open a checkbook, but that same person’s judgment may not be enough to shame someone to the ballot box. “Your best friend or family members,” Samotin muses, “aren’t going to disown you because you don’t vote.”
MIT researchers develop ConceptNet AI system capable of matching intelligence of young child... The results are significant in that they show artificial intelligence can match human intelligence, albeit only up to a certain level. Previously, advances in AI have focussed on creating systems that excel at specific tasks, such as chess or pattern recognition tasks.
Unstructured text data makes up nearly 80 percent of the typical enterprise’s data but presents significant challenges for data scientists, often requiring an inordinate amount of time to structure and prepare data for analysis. Skytree 15.2 simplifies the featurization of text data from sources that include Word, Excel, PowerPoint, PDF, raw text, tweets and Web pages. Machine-learning models can be built with standalone or fused structured and unstructured data. Skytree also delivers an even more secure LDAP authentication capability with SSL for single sign-on.
In late 2014, an anonymous person offered to send a German journalist 11.5 million encrypted documents detailing the structure of offshore business entity.
Linkurious is a partner of the International Investigative Journalist Consortium (ICIJ) since the Swiss Leaks scandal. ICIJ network of 370 journalists is using Linkurious to investigate the Panama Papers. Learn the inside story of the biggest data leak investigation in history.
In this guest post, Deenar Toraskar, founder of risk-analytics solution provider Think Reactive and a contributor to Spark, describes why new requirements for agile, self-service, and VaR reporting help make the case for building out new analytic infrastructure on the Apache Hadoop ecosystem. As described previously in this post, Value at Risk (VaR) is a popular risk measure used for risk management, Read More
[MapR Streams] can handle billions of messages per second and join clusters from separate data centres across the globe, the tool could be of particular interested to cloud operators, according to Michael Brown, CTO at comScore. “Our system analyses over 65 billion new events a day, and MapR Streams is built to ingest and process these events in real time, opening the doors to a new level of product offerings for our customers,” he said.
A major pharmaceutical manufacturer generated millions of dollars in new revenue by combining the latest research with previous research and drug studies, which introduced a new use and market for an existing drug.A global consulting services firm is using an interactive semantic model that can investigate compliance violations by linking to and aggregating various client account activity such as Web logs, email, phone archives, IM messages, and other sources to uncover potential infringements of regulatory requirements as well as internal policy and procedure violations.
Data management performance will often thrive when policies and processes have been simplified as much as possible, and companies would do well to adjust their strategies when beginning to embrace analytics technology. Data preparation should be handled on the frontend by skilled professionals, which can then flow into the heavier aspects of analysis and insight generation.
“The focus on the volume of data hides the real challenge of data analytics today. Only by addressing the challenge of utilizing diverse types of data will we be able to unlock the enormous potential of analytics.” - Marilyn Matz, CEO of Paradigm4.
MIT’s “Data Science Machine” software represents a fully automated process capable of building such predictive computer models by identifying relevant features in raw data. Such a tool could make human data scientists even more effective by allowing them to build and test such predictive models in far less time. But it might also help more individuals and companies harness the power of Big Data without the aid of trained data scientists.
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