Posts Tagged ‘Thomson Reuters’

Tamr On Mission To Curate And Connect Data

tamrlogoMake it as easy to add and connect new data sources into the enterprise analytics infrastructure as it is to add a new web site onto the modern web. That’s where next-gen data curation company Tamr, a startup born from an MIT research project to bring together lots of tabular data sources in a scalable and repeatable way.

Just like Google does all the work to find and connect web sites hosting the information that users want, “we want to do the same with tabular data sources inside the enterprise,” says Tamr co-founder and CEO Andy Palmer. “Tamr provides systems of reference. If you are looking for attributes to add to an analysis or want data to support something, you have this reference place to go in the enterprise with a catalogue of all the data that exists across the company.”

So often businesses want to use analytics to address hard questions, but can’t do so successfully unless they are integrating lots of disparate data sources and creating a referential catalog. With Tamr, Palmer says, they can ingest data sources very quickly into a semantic triple store, make them available in real time, and connect them using machine learning to map attributes and match records, in support of providing a unified view of a given entity that can then be consumed by various business intelligence and analytics tools. To be useable, he points out, data has to be “very, very thoroughly connected into everything else for there to be context and reference for how it can be consumed and whether it is reliable.”

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Semantic Web Jobs: Thomson Reuters

Thomson Reuters

Thomson Reuters is searching for a Senior Developer, Knowledge Management in Boston, MA. The post states, “In Life Sciences Professional Services (LSPS), we partner with customers to provide disease understanding, therapeutic and business insights and better decision-support systems. We combine expert analysts in use of our content and technology assets, proprietary analytical and visualization tools and deep expertise in the pharmaceutical and life sciences business. Customers benefit from tailored solutions to unique business needs that support faster, more informed decisions with higher confidence within or across the pharmaceutical R&D lifecycle… Senior Developer, Knowledge Management will be leading development of knowledge management and knowledge mining solutions for our customers.  This role will support all phases, from pre-sales activities, such as Define & Design, to the actual delivery and ongoing support.” Read more

Thomson Reuters Cortellis Data Fusion Addresses Big Data Challenges

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PHILADELPHIA, Feb. 4, 2014 /PRNewswire/ — The Intellectual Property & Science business of Thomson Reuters, the world’s leading provider of intelligent information for businesses and professionals, today announced the launch of Cortellis Data Fusion, an addition to the Thomson Reuters Cortellis suite, the industry’s most comprehensive information solution for drug discovery and development. Cortellis Data Fusion utilizes linked data technologies – frameworks that allow content to be shared across applications and enterprise or community boundaries – connecting users with data from internal proprietary systems as well as third-party resources to address Big Data challenges. Read more

Semantic Technology Job: Thomson Reuters

Thomson Reuters is looking for a Natural Language Processing Engineer in New York, NY. The post states, “The Text Analytics and Machine Learning Team are looking for an experienced engineer or scientist to join the newly formed organization. The team focuses on developing products that are powered by advanced natural language processing and machine learning theory and techniques. The primary focus is on processing unstructured data, such as news, broker research, filings, social media data, etc., using both supervised and unsupervised machine learning techniques. In addition, the team also develops products that are quantitative in nature, derived from time series data.” Read more

Sentiment Analytics Tech Helps Gauge TRust In Financial Services Sector

How do you feel about the financial institutions you deal with? A report earlier this week of a survey of Wall Street financial services industry professionals, conducted by Labaton Sucharow LLP, might have you a bit leery.

The report notes, for example, that 23 percent of those polled said they’d observed or had firsthand knowledge of wrongdoing in the workplace. Twenty-nine percent believe that financial services professionals may need to engage in unethical or illegal activity in order to be successful. More than one-quarter think the compensation plans or bonus structures at their companies incentivize employees to compromise ethical standards or violate the law, and 24 percent would engage in insider trading if they could make $10 million and get away with it. Twenty-eight percent say the financial services industry does not put the interests of clients first.

Says the report, “We see a powerful and frightening pattern that threatens an already fragile marketplace.” Yikes. Now, on the heels of that, comes Thomson Reuters’ Q2 TRust Index that aims to gauge trust in the top 50 global financials. It leverages technology including its own news and social media sentiment analytics solution, Thomson Reuters News Analytics (TRNA), and its MarketPsych Indices, which provides real-time psychological analysis of news and social media.

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Asia Pacific’s Central Banks and Government Institutions Turn to Thomson Reuters Eikon

Thomson Reuters, the world’s leading source of intelligent information for businesses and professionals, today revealed that 18 central banks and government organizations in Asia Pacific have recently rolled out the flagship Thomson Reuters Eikon platform for real-time financial data, analytics, news and commentary.

The central banks and government authorities that have signed up to use Thomson Reuters Eikon in recent months include the Hong Kong Monetary Authority, Reserve Bank of New Zealand, Reserve Bank of India, Nepal Rastra Bank, Central Bank of the Republic of China (Taiwan), State Bank of Vietnam, Bank of the Lao P.D.R and Royal Monetary Authority of Bhutan. Read more

Semantic Tech Turns Up Biomarkers And Phenotypes, Avoids Dead Ends And Higher Costs

Image Courtesy: ipharmd.net

Dr. Carlo Trugenberger, co-founder and Chief Scientific Officer at InfoCodex Semantic Technologies AG, has co-authored a report reflecting the topic he discussed at last fall’s London SemTech event: An approach to drug research that relies on identifying relevant biochemical information using the company’s autonomous self-organizing semantic engines to text mine large repositories of biomedical research papers.

The model, says Trugenberger, is a departure from many other semantically-engineered approaches to streamlining drug research, which are based on natural language processing (NLP). That’s good for extracting information from documents, he says, but not as adept at discovering knowledge. “That’s what our InfoCodex software is designed for, to find new facts and hidden correlations” in repositories of unstructured information.

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Eikon 3.0 Gets a Boost with Semantic Search

Greg MacSweeney reports, “Thomson Reuters’ latest evolution of Eikon, its integrated market data platform, offers semantic search capabilities not found in other market data products currently on the market. Most notably the new version, called Eikon 3.0, applies free text search capabilities to financial data, similar to Google’s search functionality. ‘The latest version brings data into one place,’ says Philip Brittan, global head of the Eikon desktop platform at Thomson Reuters. Traditionally, market data platforms hold a wealth of data, but users need to know specific commands or follow certain workflows to find the information. ‘Often, getting to the data is a challenge,’ Brittan adds. ‘Eikon brings semantic search to financial information’.” Read more

Thomson Reuters Brings Semantic Search to the Trading Floor

Tom Groenfeldt of Forbes reports that Thomson Reuters is bringing semantic search to market information. He writes, “Looking up Cisco results on a Thomson Reuters Eikon terminal is as simple as typing in Cis. The name will autofill and you’re there.  Just like Google. Is nowhere safe from the consumerization of IT, not even trading rooms? ‘We want to change the way people interact with financial information,’ said Philip Brittan, global head of desktop platform at Thomson Reuters. ‘We are making it more like what modern search engines, such as Google, have done in the way you search the Web and interact with Web sites putting the search bar front and center allowing users to simply input what they are looking for’.” Read more

Money Hunt: More Semantic and Sentiment Analytics Tools Aim At Stock Market Success

Money image via Shutterstock

Turmoil seems to be the default option for worldwide financial markets, but turns out there has been good news on the stocks front. According to a Bloomberg Businessweek article this week, U.S. stocks have had a solid 2012 so far, with the Standard & Poor’s 500 index up 9 percent this year, through Thursday, and Nasdaq up 15 percent. But the article also points out that hundreds of billions of dollars have fled the market here in the last three years.

It’s probably no surprise that skittishness reigns among average Americans, and institutional investors, too, given issues like the continuing economic volatility in Europe and more disappointing U.S. jobs data. But where many see problems, others see opportunities – including a new round of projects and vendors with semantic and sentiment analysis solutions aimed at helping investors ferret out what might be on the market’s minds.

The last couple of weeks alone saw the following unveiled:

  • The EU FIRST (large scale inFormation extraction and Integration infrastructure for SupporTing financial decision making) consortium, which employs artificial intelligence to support financial decision making, launched its first running prototype of a technology that can extract and analyze sentiment about the financial domain from social media networks in near real-time. Read more

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