Business

Winners of the 2014 Semantic Web Challenge Announced at the International Semantic Web Conference Held in Italy

swcAMSTERDAM, October 30, 2014 /PRNewswire/ — Elsevier, a world-leading provider of scientific, technical and medical information products and services, is pleased to announce the winners of the 2014 Semantic Web Challenge (SWC). Selected by a jury of leading experts in the computer science discipline from both academia and industry, winners were announced at the International Semantic Web Conference held in Riva del Garda, Italy, this month. Both the challenge and awards were sponsored by Elsevier. Read more

Twitter Lets Researchers Mine Through Its Data

TwitterIANS Live recently wrote, “[Twitter] has finally given access to its vast database to a selected pool of researchers to study tweets and find answers to a variety of issues. As part of its ambitious data grant programme, Twitter is allowing academic researchers across various fields to ‘go back and study things’ over, with almost a decade of historical data, Washington Post reported. While Harvard Medical School and Boston Children’s Hospital are looking at tweets about food-poisoning cases to find answers to the spread of food-borne illnesses, researchers from the University of California at San Diego are studying whether happy people are likely to post happy images on Twitter.” Read more

Oxdata’s CEO on the Intersection of Big Data and Machine Learning

oxdataJosiah Motley recently wrote, “Big data is big money, and a relative new-comer to the game is trying to make a big impact. 0xdata (pronounced hexadata), started by SriSatish Ambati, is that new-comer. Their current flagship product, simply titled H20, is an open source platform used to crunch huge amounts of data to more accurately display analytic results. It is able to compute these large data sets by combining machine learning with advanced mathematical algorithms. H20 allows for customers to their entire data sets, instead of sample sets which are traditionally used for such processes. We recently had a chance to talk with SriSatish Ammbati, CEO and co-founder of 0xdata to help shed more light on their product.” Read more

Metreeca Offers Easier Interaction With Semantic Knowledge Bases

griverAccessing an enterprise’s semantic knowledge base has its challenges for the business’ general population. Perhaps development teams already have integrated specific SPARQL queries inside a customer app or custom dashboard or otherwise accommodated some very task-oriented activities and searches, but that has its limits for non-technical users who want to explore outside the box. All the same, these users aren’t likely to write new SPARQL queries on their own — but nor do they necessarily want to wait for their IT departments to pull that together for them. Interactive query builders are options but some may find these still a little too-technically oriented.

This is a problem that Metreeca is looking to solve with Graph Rover, a self-service search and analysis tool that enables non technical users to interact visually with semantic knowledge bases. It has just released the latest beta update of the product, which lets users build queries using a graphical interface, but Graph Rover has been in development for two years while the company was in stealth mode, and tech lead Alessandro Bollini says it is already a mature solution that should be available commercially in the first quarter of 2015.

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Microsoft’s Azure Machine Learning Hopes to Give Watson a Run for Its Money

azure-machine-learningJeffrey Schwartz of Redmond Magazine recently wrote, “Nearly a year after launching its Hadoop-based Azure HDInsight cloud analytics service, Microsoft believes it’s a better and broader solution for real-time analytics and predictive analysis than IBM’s widely touted Watson. Big Blue this year has begun commercializing its Watson technology, made famous in 2011 when it came out of the research labs to appear and win on the television game show Jeopardy. Both companies had a large presence at this year’s Strata + Hadoop World Conference in New York, attended by 5,000 Big Data geeks. At the Microsoft booth, Eron Kelly, general manager for SQL Server product marketing, highlighted some key improvements to Microsoft’s overall Big Data portfolio since last year’s release of Azure HDInsight including SQL Server 2014 with support for in-memory processing, PowerBI and the launch in June of Azure Machine Learning.” Read more

Data Innovation, Driven By Semantic Models, Machine Learning And More

VRThe Ventana Research summit took place this week, and semantic and related technologies had a place at the table.

Among the keynoters discussing the topic of Inspiring Business Technology Innovation to Change Business and IT Forever, for example, was Nedshad Bardoliwalla, co-founder and vp of products at data prep vendor Paxata. He discussed the need to rethink how to innovate with data, as that will “drive the biggest increases in value for your organization for the foreseeable future.”

As part of that, he explained that in a world where everything physical on the planet will have a digital representation, businesses should pay attention to factors including the “massive and interesting algorithms around recognition systems, around deep learning, around semantic models that let us understand images and text in ways we never could….Take advantage of those if you are to innovate and bring capabilities to market that change way people think of data.”

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LinguaSys Launches “GlobalNLP” Natural Language Processing API Portal for Developers

linguasysBOCA RATON, Fla.–(BUSINESS WIRE)–LinguaSys has created a new Application Programming Interface (API) portal, GlobalNLP™, https://nlp.linguasys.com/ to reach the flourishing global developer population building Natural Language Processing applications with their own business logic. GlobalNLP™ enables software developers to understand and extract meaning from unstructured or conversational text across languages.

LinguaSys provides deep understanding of the meaning of textual human dialogue better than anyone. We offer broad language support in over 20 languages, including the more challenging Asian and Middle Eastern languages, the most high quality semantic collection in the industry. Read more

Watson Teams Up with Standard Bank in Africa

watsonOluwabusayo Sotunde of Ventures Africa reports, “Africa’s most innovative bank, Standard Bank Plc has reached an agreement with leading IT services provider, IBM to implement the latter’s new Watson technology. IBM’s Watson technology breaks traditional barriers in computing by embracing artificial intelligence, natural language processing and dynamic learning when assisting customers and businesses with the interpretation of data. Head of Innovation and Channel Design at Standard Bank, Vuyo Mpako explained that the bank partnered with IBM so it could consolidate the technology into its operating system. This would enable Standard Chartered efficiently interpret and maximise its data.” Read more

Berners-Lee Shares Voices His Opinions on Data Ownership

timbernersleeAlex Hern of The Guardian reports, “The data we create about ourselves should be owned by each of us, not by the large companies that harvest it, the Tim Berners-Lee, the inventor of the world wide web, said today. Berners-Lee told the IPExpo Europe in London’s Excel Centre that the potential of big data will be wasted as its current owners use it to serve ever more ‘queasy’ targeted advertising. By gaining access to their own data, people could use it with information about themselves from other sources in order to create ‘rich data’ – a far more valuable commodity than mere ‘big data’, he said.”

Hern continues, “Berners-Lee said that ‘people only look at one angle’ of big data. ‘When you read big data pieces in a magazine, it’s about how big companies are spying on you. A lot of the marvel of big data is a threat to me. Read more

SAS Contextual Analysis Delivers Faster Insight From Unstructured Big Data by Automating Text Analysis

sasCARY, NC–(Marketwired – October 06, 2014) – New SAS® Contextual Analysis software eliminates tedious manual tagging and categorization for structuring unstructured data. For organizations craving big data insight from text such as social media or customer communications, that’s a huge time savings. SAS also added new upgrades across its advanced analytics portfolio. Read more

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