Products

MonkeyLearn Unveils its Powerful and Affordable Artificial Intelligence Technology Platform for Developers

MonkeyLearn logoA recent release from MonkeyLearn states, “Developers, startups, and small and medium-sized enterprises (SMEs) now have access to a powerful, customizable, and affordable artificial intelligence (AI) technology platform for text mining, MonkeyLearn. As one of the first companies to meet the demands of a new, sophisticated era of AI, MonkeyLearn will be unveiled in beta today at TechCrunch Disrupt San Francisco. MonkeyLearn’s patent-pending algorithm creation engine allows developers in any industry to quickly and easily create and incorporate text mining capabilities into their own platforms, applications and websites, regardless of their experience with AI technologies. Artificial intelligence technologies for text mining have become a priority for Internet and technology companies, as they allow them to understand users’ interests and provide similar or relevant recommendations.”

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Enterra Solutions Teams Up with SAP

Enterra Solutions logoEnterra Solutions recently revealed that, “Enterra Solutions®, LLC, a leading big data analytics and insights firm, announced today it has signed a global original equipment manufacturer (OEM) agreement with SAP (NYSE: SAP). Through the agreement, Enterra will develop next-generation cognitive computing solutions using the SAP HANA® platform. Enterra also plans to develop and market new, advanced analytics and insights product and service offerings that will run on SAP HANA, to be marketed initially in the consumer products, retail, entertainment and life-sciences industries. As more businesses turn to big-data insights for competitive advantages, Enterra plans to make these solutions available to enhance the competitiveness and valuations of iconic brands, many of which now view actionable big-data insights as the disruptive competitive advantage that will drive future business objectives. By combining the power of Enterra’s Cognitive Reasoning Platform™ (CRP) with the speed and agility that SAP HANA delivers for the management of structured and unstructured data in real-time integration environments, Enterra will make rich analytics and insights available to enterprises and governmental agencies that seek to harness big-data insights to grow their businesses.”

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Prelert’s Elasticsearch Equipped with Anomaly Detection

Prelert logoDaniel Gutierrez reported, “Prelert, the anomaly detection company, today announced the release of an Elasticsearch Connector to help developers quickly and easily deploy its machine learning-based Anomaly Detective® engine on their Elasticsearch ELK (Elasticsearch, Logstash, Kibana) stack. Earlier this year, Prelert released its Engine API enabling developers and power users to leverage its advanced analytics algorithms in their operations monitoring and security architectures. By offering an Elasticsearch Connector, the company further strengthens its commitment to democratizing the use of machine learning technology, providing tools that make it even easier to identify threats and opportunities hidden within massive data sets. Written in Python, the Prelert Elasticsearch Connector source is available on GitHub. This enables developers to apply Prelert’s advanced, machine learning-based analytics to fit the big data needs within their unique environment.”

The article continues with, “Prelert’s Anomaly Detective processes huge volumes of streaming data, automatically learns normal behavior patterns represented by the data and identifies and cross-correlates any anomalies. It routinely processes millions of data points in real-time and identifies performance, security and operational anomalies so they can be acted on before they impact business. The Elasticsearch Connector is the first connector to be officially released by Prelert. Additional connectors to several of the most popular technologies used with big data will be released throughout the coming months.”

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Image courtesy Prelert.

SPARQL City’s Benchmark Results Showcase New Possibilities in Enterprise Graph Analytics

Solution demonstrates 10x+ the performance while running on 100x the data

Enterprise meet Graph Analysis - SPARQLcity.comNoSQL Now 2014 & SemTechBiz 2014

San Diego – August 20, 2014 – SPARQL City, which introduced its scalable graph analytic engine to market earlier this year, today announced that it has successfully run the SP2 SPARQL benchmark on 100 times the data volume as other graph solution providers, while still delivering an order of magnitude better performance on average compared to published results.

SPARQL City ran the SP2 Benchmark against 2.5 billion triples/edges on a sixteen node cluster on Amazon EC2. Average query response time for the set of seventeen queries was about 6 seconds, with query 4, the most data intensive query involving the entire dataset taking approximately 34 seconds to run. By comparison, the best reported query 4 result by other graph solution providers has been around 15 seconds, but this is when running against 25 million triples/edges, or 1/100th of the data volume in SPARQL City’s benchmark test. This level of performance, combined with the ability to easily scale out the solution on a cluster when required, makes easy to use interactive graph analytics on very large datasets possible for the first time. Detailed benchmark results can be found on our website.

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Expert System Announces Two New Products at SemTechBiz 2014

Expert System LogoSAN JOSE, CA — (August 18, 2014) – Expert System US, Inc., a leader in semantic technology, today announced the launch of two new product solutions, Cogito Taxonomy Studio and Cogito Connected for Microsoft SharePoint, to their award-winning Semantic Solution Suite. The products will demonstrated at the 10th Annual Semantic Technology & Business Conference (SemTechBiz) in San Jose, CA.

The Cogito Semantic Solution Suite is based on an advanced semantic analysis engine and a complete semantic network that enables a “human-like” understanding of any collection of unstructured documents and text with speed, context and precision. Cogito exceeds the limits of conventional keyword technology and provides more effective management of the growing volume of information companies manage, turning it into accessible, inter-linked and usable knowledge.

The new Cogito Taxonomy Studio is a complete solution that addresses all of the steps in the process of creating and deploying a taxonomy to make all types of enterprise content and other strategic information more accessible. It addresses all steps in the process of creating and deploying a taxonomy to make all types of enterprise content and other strategic information more accessible. The new cloud-based solution will provide data-driven taxonomy node creation and development, taxonomy deployment, automated rules creation categorization rules optimization, and document categorization.

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Industry’s First Cognitive Computing App Builder

ApOrchid - VisionApp Orchid Inc recently announced the industry’s first Cognitive Computing app builder. The announcement states, “Emerging from stealth mode, AppOrchid Inc. announced today its disruptive new technology for developing cognitive apps that targets the multi-billion dollar “Internet of Everything” (IoE) market. “The future for enterprise computing lies in intelligent or cognitive apps. In this new “Internet of everything” world, connected devices, social data and massive volumes of free form documents integrate with enterprise applications in real-time. AppOrchid’s groundbreaking products employ Big Data technology and a scalable Knowledge graph model powered with intelligent natural language processing. The end result is human-like intelligence, with a gamified user experience spanning conventional, handheld and wearable devices. This is a watershed moment in Enterprise computing”, said Krishna Kumar, Founder and CEO of AppOrchid Inc.”

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Cambridge Semantics Launches ‘Anzo Smart Data Integration’

Anzo Smart Data Integration (ASDI)

Extract,  Transform, and Load (ETL) and the business problem ETL solves — Data Integration — are complex to say the least. As the team at Cambridge Semantics points out:

Data integration and data on-boarding are time-consuming, manual, costly & error-prone processes.

  • Complex integrations require developing a large number of point-to-point source-target mappings.
  • Each mapping must be jointly developed by experts in all involved systems before being handed off to a team of ETL developers.
  • Each hand-off increases both the time it takes to complete the integration and also the risk of errors as requirements are misunderstood or not fully validated.
  • The lineage and meaning of data are often lost in the process, limiting the trustworthiness and utility of the data.

 

Cambridge Semantics today announced the launch of its Anzo Smart Data Integration (ASDI) software to help enterprises rapidly understand and integrate information assets. Described as a “design time tool for business analysts,” ASDI is “designed to reduce integration time frames and costs by 10X and enhance time-to-revenue when on-boarding new customers, partners and data,” according to the official announcement.

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Rovi Launches Personalized Discovery Solution

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Mari Silbey of Light Reading reports, “Just two months after acquiring Veveo for $62 million in cash, Rovi has launched a new Personalized Discovery Solution combining its own entertainment metadata with Veveo’s voice-enabled semantic search technology. The solution for pay-TV operators offers predictive search and a content recommendation platform. Rovi’s metadata supplies contextual program information, while Veveo’s machine-learning technology — also called its ‘Knowledge Graph’ — adapts to a viewer’s behavior over time to refine and personalize the user interface experience. Rovi Corp. is also including Conversation Services in its new search-and-recommendation engine. Built by Veveo Inc. , this technology enables an interactive dialog between users and the on-screen program guide. Veveo Chief Marketing Officer Samrat Vasisht once described the service as ‘Siri for your TV,’ referring to Apple Inc. ‘s voice recognition software.” Read more

TEMIS Wins SIIA CODiE Award for Best Science and Technology Information Solution 2014

temis

WASHINGTON and NEW YORK, February 3, 2014 /PRNewswire/ — TEMIS, the leading provider of Semantic Content Enrichment solutions for the Enterprise, today announced that Luxid® Navigator -Biopharma Edition was awarded the 2014 CODiE Award for Best Science and Technology Information Solution by the Software & Information Industry Association (SIIA), the principal trade association for the software and digital content industries. CODiEs Winners represent the information industry’s best products, technologies, and services created by or for media, publishers, and information services providers. Read more

Predixion Brings Predictive Analytics to the Classroom at No Cost

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SAN JUAN CAPISTRANO, CA–(Marketwired – Jan 28, 2014) - Predixion Software, a developer of collaborative predictive analytics software solutions, today announced it is providing academic institutions with the free use of its advanced analytics software and related training materials for students and teachers of data science. The Predixion in the Classroom (PIC) program provides future data analysts with hands-on experience building predictive models and extracting valuable insights from large data sets. The PIC program is intended to address the extreme shortage of data scientists, which will grow more severe in coming years as organizations increasingly rely on big data and predictive analytics to guide decisions and improve operations. Academic institutions such as the University of Washington, University of Western Michigan, St. Joseph University, and the University of Maryland University College (UMUC) are already taking advantage of the program to help their students gain the essential skills required for data analysis. Read more

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