Digital Reasoning Takes On Early Risk Detection For Compliance- And Security-Sensitive Sectors

synthimageDigital Reasoning’s Synthesys machine learning platform (which The Semantic Web Blog initially covered here) this summer should see its Version 3.9 release. The update will build on the 3.8 release, which delivered with its Glance user interface the discovery and investigative capabilities that help information analysts in finance, intelligence and other compliance- and security-sensitive sectors react to findings in user profiles of interest and their associated relationships, activities and risks. Version 3.9 takes on the proactive part of the equation — early risk detection — via its Scout user interface.

Last year, the company honed in on compliance use cases ranging from insider trading to money laundering with Version 3.7 of Synthesys (covered here). There, the technology for discovering the meaning in unstructured data at scale, highlighting important entities in context, was applied to email communications for organizations such as financial institutions that have to be on the lookout for conversations that cross compliance boundaries.

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Semantic Web Jobs: Reed Elsevier

reed elsevierReed Elsevier is looking for a Principal Technology Researcher in Philadelphia, PA. According to the post, “You will bring demonstrable experience in software development using a variety of programming languages, data management tools (SQL and No-SQL databases, full-text search engines, XML stores, and/or RDF triple stores, etc.), and toolkits for text processing, ontology development, image processing, statistics, and/or machine learning… You are knowledgeable about Unicode, can look at the output of natural language processing tools and mark the grammatical errors being made, and have the ability to work with other developers in proof of concept implementations by developing necessary word lists and taxonomies, recommending particular processing steps, etc.  You should also have experience working with Linked Data and semantic technologies for metadata and knowledge representation.” Read more

sovrn and Temnos to Deliver Smarter Online Ads

sovrnlogoBOULDER, Colo. & SAN FRANCISCO–(BUSINESS WIRE)–sovrn Holdings, Inc., advocate of and partner to almost 20,000 publishers across the independent web, today announced it is partnering with Temnos, a leading content analytics company, to analyze, filter and organize millions of pages of content across sovrn’s network. Using the Temnos Content Intelligence Platform, sovrn will be able to deliver highly targeted content and more relevant online ads, giving publishers more opportunities to monetize their content and marketers the ability to maximize reach, performance and brand awareness. Read more

PredictionIO Raises $2.5M for Open Source Machine Learning Platform

predChristopher Tozzi of The VAR Guy reports, “PredictionIO, the open source machine learning platform, has received a big boost with the announcement of $2.5 million in seed funding, which it plans to use to make its automated data interpretation and prediction platform widely available to open source developers. PredictionIO’s goal is to make it easy for developers and companies of all sizes to integrate machine learning —i.e., software that can interpret data intelligently to make automated decisions and predictions—into their products. ‘PredictionIO aims to be the Machine Learning server behind every application,’ according to the company. ‘Building Machine Learning in software will be as common as search soon with PredictionIO’.” Read more

Semantic Web Jobs: PROTEUS Technologies

proPROTEUS Technologies is looking for a Senior Software Engineer in Annapolis, MD. According to the post, “We are currently conducting a search for a Senior Software Engineer who has experience building semantically enabled web applications.  This work supports PROTEUS’ rapid prototyping prime contract which is located within a highly visible and prestigious department of the government customer’s organization.  The Senior Software Engineer will be responsible for building a semantic web application that collects and collates data from multiple sources and converts it into one common model for the purposes of simplified data visualization and comprehensive reporting.” Read more

Princeton Establishes New Center for Statistics and Machine Learning, Names John Storey Director

princeton-university-logoDaniel Day of News at Princeton reports, “Princeton University has established the Center for Statistics and Machine Learning. John Storey, a professor of molecular biology and the Lewis-Sigler Institute for Integrative Genomics, has been named the center’s director. The center will anchor the teaching of and research in statistics and machine learning on campus, Storey said, offering an undergraduate certificate as well as graduate training in the field.” Read more

Ron Kaplan of Nuance Communications on the Future of Artificial Intelligence

ronPeter Rothman of h+ Magazine writes, “I recently got together with Ron Kaplan who is a well known artificial intelligence researcher in the area of natural language processing. Ron is a Distinguished Scientist at Nuance Communications. The conversation is about 1 hour long and the main theme was the recent comments about dangers from artificial intelligence made by Professor Stephen Hawking and also Elon Musk, Eugene Goostman the chatbot that supposedly passed the Turing Test.  Beyond this, the conversation ranges near and far covering and whether it is ridiculous to suggest that Siri is a conscious being, reflective computing, NL interfaces and access to knowledge, communicating with wives, the effects of my diet, and the future of human languages when universal translation becomes widely available.” Read more

Get The Scoop On The Critical ABCs of RDF

semtechbiz-10th-125sqThere’s a chance to learn everything you should know about RDF to get the most value from the W3C standard model for data interchange at the 10th annual Semantic Technology & Business Conference in San Jose next month. David Booth, senior software architect at Hawaii Resource Group, will be hosting a session explaining how the standard’s unique capabilities can have a profound effect on projects that seek to connect data coming in from multiple sources.

“One of the assumptions that people make looking at RDF is that it is  analogous to any other data format, like JSON or XML,” says Booth, who is working at the Hawaii Research Group’s on a contract the firm has with the U.S. Department of Defense to use semantic web technologies to achieve healthcare data interoperability. “It isn’t.” RDF, he explains, isn’t just another data format – rather, it’s about the information content that is encoded in the format.

“The focus is different. It is on the meaning of data vs. the details of syntax,” he says.

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Semantic Technology Jobs: Technorati Media

techmediaTechnorati Media is looking for a Data Scientist – Machine Learning in San Francisco, CA. According to the post, “We currently have an opportunity for a talented Data Scientist – Machine Learning to help take our business to the next level. You‘ll play a key role in the definition, design, and development of the Technorati Advertising and Data platform, which currently services hundreds of millions of requests per day. Design, implement and optimize algorithms for performance and revenue in a in highly distributed environment- a variety of advanced massively scalable technologies such as multi-threaded distributed systems, big data pipelines, machine learning, predictive algorithms and more. Work with large (terabytes of data, billions of daily transactions) structured and unstructured data sets.” Read more

Is NLP the End of the Written Word?

Siri LogoJamie Carter of Tech Radar recently wrote, “With iOS devices now allowing the sending of voice messages and predictions for self-driving cars and voice-activated doors, lights and elevators (cue the internet of things), it’s clear that the future will be spoken, not written. The technology behind this shift in how we interact with our surroundings is natural language processing, a technology that enables computers to understand the meaning of our words and recognise the habits of our speech.” Read more

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