Analytics

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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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

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

Can Semantic Analysis Predict a Tsunami from Ripples?

svManju Bansal of the MIT Technology Review recently wrote, “The year was 1961. Computers were still in their infancy, and the race to the moon was just beginning. Edward Lorenz, an MIT meteorologist, was developing a weather- prediction model. Lorenz theorized that a miniscule occurrence, such as a tiny butterfly flapping its wings in the Amazon, could hypothetically set in motion a chain of events that could cause tornadoes to touch down in Texas a few days later. That model (illustrations of which visually resembled a butterfly) eventually came to be known as the butterfly effect.” Read more

Twitter Invests $10M to Better Understand Online Interactions

TwitterAnu Passary of Tech Times reports, “Microblogging site Twitter is gearing up to partner with the Massachusetts Institute of Technology (MIT) on a new project, which hopes to gain a better understanding of online interactions. Twitter is investing $10 million for the development of the Laboratory for Social Machines (LSM) over a five-year period. The new MIT Lab will produce a new social networking platform, analytic tools and also mobile apps that will connect individuals better. The LSM will be able to access Twitter’s live streams of tweets and the site’s public archives right from the time Twitter began. The project will focus on the creation of novel technology that can understand ‘semantic and social patterns’.” Read more

EXL Acquires Blue Slate, a Business Process Management and Technology Solutions Firm

exlNEW YORK, July 7, 2014 (GLOBE NEWSWIRE) — EXL, a leading business process solutions company, today announced that it has acquired Blue Slate Solutions, LLC, enhancing its business process management capabilities. By adding Blue Slate’s consulting and execution acumen, EXL strengthens its ability to apply technology solutions to improve clients’ business operations.

[Read our past coverage of Blue Slate here.]

Blue Slate specializes in transforming operations through business process optimization, data integration and analytics, leveraging innovative techniques and technologies. Read more

FirstRain Launches New API for Predictive Analytics in Enterprise Apps

First-RainJanet Wagner of Programmable Web reports, “FirstRain, a personal business analytics platform provider, has announced the launch of a FirstRain API that allows enterprise developers to incorporate FirstRain platform functionality into third-party applications and systems. The new FirstRain API provides programmatic access to real-time data from the proprietary FirstRain business graph, which the company says ‘extracts the deep, interconnected relationships between companies, businesses and markets’.” Read more

IBM’s New Watson Analytics Hopes to Bring Big Data to the Rest of Us

WatsonRon Miller of TechCrunch reports, “IBM today announced a new product called Watson Analytics, one they claim will bring sophisticated big data analysis to the average business user. Watson Analytics is a cloud application that does all of the the heavy lifting related to big data processing by retrieving the data, analyzing it, cleaning it, building sophisticated visualizations and offering an environment for communicating and collaborating around the data. And lest you think that IBM is just slapping on the Watson label because it’s a well known brand (as I did), Eric Sall, vp of worldwide marketing for business analytics at IBM  says that’s the not the case. The technology underlying the product including the ability to process natural language queries is built on Watson technology.” Read more

Word To Developers: Power Your Apps With Data And Insights

aplogoApigee wants the development community to be able to seamlessly take advantage of predictive analytics in their applications.

“One of the biggest things we want to ensure is that the development community gets comfortable with powering their apps with data and insights,” says Anant Jhingran, Apigee’s VP of products and formerly CTO for IBM’s information management and data division. “That is the next wave that we see.”

Apigee wants to help them ride that wave, enabling their business to better deal with customer issues, from engagement to churn, in more personal and contextual ways. “We are in the business of helping customers take their digital assets and expose them through clean APIs so that these APIs can power the next generation of applications,” says Jhingran. But in thinking through that core business, “we realized the interactions happening through the APIs represent very powerful signals. Those signals, when combined with other contextual data that may be in the enterprise, enable some very deep insights into what is really happening in these channels.”

With today’s announcement of a new version of its Apigee Insights big data platform, all those signals generated – through API and web channels, call centers, and more – can come together in the service of predictive analytics for developers to leverage.

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