Josiah 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
Accessing 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.
IBM is looking for a Structured Content Semantic Technologist in New York, NY. According to the post, “IBM Studio is looking for a semantic technologist to join the structured content team located in New York, NY. The team works on structured content strategy innovation for the Marketing & Communication practice, in collaboration with CIO. The goal is to help marketers optimize the value of digital content through semantic technology in order to improve digital marketing performance. The Semantic Technologist will play a key role in design and development of ontology using semantic web technologies. This individual will have a role in building roadmaps for future landscapes and growth of services related to structured content.” Read more
Jacob James of Newsweek recently discussed artificial intelligence expert David Levy’s thoughts on combining natural language processing with sex dolls, and what doing so might mean for society. James writes, “It was while researching his 2003 book, Robots Unlimited, that [Levy] first became interested in the subject. Specifically, he read a quote from a 1984 book by Sherry Turkel… An interviewee, ‘Anthony’, told Turkel that he had tried having girlfriends but preferred his relationship with his computer. ‘That quotation hit me like a brick wall,’ says Levy. ‘I thought – if a smart guy could think like that in 1984, I wonder how much the concept of human-computer emotional relationships has developed since then’.” Read more
Jeffrey 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
Apple is looking for a Senior Natural Language R&D Engineer in Santa Clara, CA. According to the post, “You will be a part of a team that’s responsible for a wide variety of natural language processing related research and development activities. We are particularly interested in supervised and unsupervised techniques to leverage large quantities of data. You should be passionate about creating phenomenal products. Because you’ll be working closely with engineers from a number of other teams at Apple, you’ll need to be a team player who thrives in a fast paced environment with rapidly changing priorities.” Read more
Trentino, Italy – October 22, 2014 – SYSTAP, LLC and metaphacts announced at this year’s International Semantic Web Conference (ISWC) the start of a new partnership to deliver innovative solutions for building and managing knowledge graphs. Knowledge graphs are large networks of entities and their semantic relationships. They are a powerful tool that can change the way we do search, analytics, recommendations, and data integration. Read more
The 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.”
Cade Metz of Wired recently wrote, “Deep learning can do many things. Tapping the power of hundreds or even thousands of computers, this new breed of artificial intelligence can help Facebook recognize people, words, and objects that appear in digital photos. It can help Google understand what you’re saying when you bark commands into an Android phone. And it can help Baidu boost the bottom line. The Chinese web giant now uses deep learning to target ads on its online services, and according to Andrew Ng—who helped launch the deep learning operation at Google and now oversees research and development at Baidu—the company has seen a notable increase in revenue as a result. ‘It’s used very successfully in advertising,’ he says, sitting inside the company’s U.S. R&D center in Sunnyvale, California. ‘We have not released revenue numbers on the specific impact, but it is significant’.” Read more
Concurrent Technologies Corporation is looking for a Software Developer / Data Modeler in Johnstown, PA. The post states, “The qualified candidate will direct and/or participate in all phases of software/hardware development with emphasis on Java, Web Development and experience working on software development teams. Graph Databases (Allegrograph / Sesame / Jena), NoSQL Database, Java/JSP/Clojure, RESTful Web Services, Ontology / Semantic Web, RDF/RDFS/OWL/SPARQL are a plus. In addition, the analysis of user requirements, the design, development, test, documentation of existing tools, software libraries, develop general user documentation, UI testing and integration of software solutions are required.” Read more