Sunnyvale, CA (PRWEB) April 17, 2014 — Inbenta, the Semantic Search Engine provider, announces it has closed a $2M Series A funding from a group of investors led by “Amérigo Chile Early Stage and Growth”. Amerigo is an international network of technological Venture Capital funds which forms part of Telefónica’s commitment to boosting technological innovation around the world. Inbenta will use the funds to continue to scale out their A.I. based Semantic Search platform for enterprise customer care solutions while expanding operations worldwide. Read more
Every picture tells a story, don’t it? Well, turns out that’s true in the enterprise as much as on our Facebook pages. In this case, the picture is the enterprise graph of the workforce – who interacts with whom, when, in what context. And the story is what the patterns of interactions revealed by the graph may say about employee engagement, influence, and how to better leverage all that to the business’ – and the employees’ — benefit.
When Marie Wallace, IBM analytics strategist, looks at social and collaborative networks and other sources of enterprise communications and channels for business processes, such as CRM systems, “I am interested in the narrative,” she told an audience at the Sentiment Analytics Symposium earlier this month. “There is a lot of information in CRM systems – who met with whom, what industry the client is in, what products were presented. All this is valuable and contributes to the enterprise graph.”
Ryan Lawler of Tech Crunch reports that Gridspace “has created an application based on technology that automatically saves and indexes meeting conversations. But the big breakthrough is that, though the magic of machine learning and natural language processing, it can determine which parts of the meeting conversations were most important. I got a demo of the technology at work, with Gridspace CEO Evan Macmillan showing off a beta version of the company’s app for our presentation. With the app open, he walked me through the basics, occasionally telling the app to ‘remember’ certain interesting aspects.” Read more
Research this month from MindMetre Research shows that 89 percent of organizations believe they need to gain greater insight into their growing volumes of unstructured data to improve their commercial advantages and gain a competitive edge. That insight into such data, the research reports, could feed a number of business-boosting scenarios. “This content can be used to provide insights for proposals and projects, to inform business relationships, to enable collaboration, to avoid repetition of research, to repurpose content, and generally to streamline the flow of enterprise knowledge and avoid replication of work already done,” says Paul Lindsell, Managing Director of MindMetre.
Coralville, Iowa (PRWEB) January 20, 2014–After five years of development, the last twenty months in quiet mode supported by clients, Structured Dynamics (SD) today released a new enterprise-ready version of its open-source Open Semantic Framework (OSF). “This new version 3.0 finally establishes the baseline foundation we set for ourselves five years ago,” said Frédérick Giasson, SD’s CTO.
OSF is a turnkey platform targeted to enterprises to bring interoperability to their information assets, achieved via a layered architecture of semantic technologies. OSF can integrate information from documents to Web pages and standard databases. Its broad functions range from information ingest to tagging to search and data management to publishing. Read more
Interested in discovering what’s happened to some of the enterprise search vendors that have piqued your interest in the past? You may want to head here, where enterprise search industry expert and author of the Enterprise Search Report Stephen E. Arnold of ArnoldIT is posting a series of profiles of firms that have tried and failed – or in some cases, still are trying to – make a business in enterprise search.
It’s not easy, Arnold writes: “Search is a very difficult problem to solve and turn into a sustainable business.”
GS1, the standards organization responsible for barcodes and the Global Data Synchronization Network (GDSN), among other things, is working to extend the standards used for the identification of goods in the brick and mortar retail world into the web realm. As part of an overall conversation with its retail industry members about focusing more broadly on the digital space, it’s exploring how GS1 systems and standards fit into the semantic web.
What we call the UPC code in North America – and the GTIN (Global Trade Identification Network) code elsewhere – is a key part of the discussion. “The interesting thing is that the schema.org folks did some work to show how the GS1 system could be represented in their schemas,” says Bernie Hogan, Senior Vice President, Emerging Capabilities and Industries, who is spearheading GS1 US’s work in the online space. The schema.org/Product properties include quantitative values based on GTIN codes . “We started looking at that and started asking how we can build upon it.” (Barbara Starr’s recent SearchEngineLand column provides insight into the benefits today of using GS1 identifiers and structured data, including semantic markup on websites, for e-commerce.)
Today, GS1 US’s B2C Alliance now is working with its community to test some of the concepts around embedding the GS1 system in the web, and how that may positively or negatively impact how retailers’ and brand owners’ products are seen by search engines, says Hogan. “Everything with a unique identifier on the web is merging with Linked Open Data, and that gets pretty interesting, so we are working on a strategy to learn how we can fit into this whole thing,” he says, with the help of the GS1 Auto ID Labs research arm. “We ultimately want to make some standards recommendations, but first we are going through the process of testing and getting consensus and doing some research on how that might be done. But it is all about improving search and relevance for identifying products and finding related information.”
OpenText Details Enterprise Information Management Project For Getting More Value From Enterprise Information
OpenText, the enterprise information management (EIM) vendor that acquired Nstein’s text mining and analytics technology a few years back and ranked strong in go-to-market strength in a January report from Hurwitz & Associates, today is revealing details about its new Project Red Oxygen at its annual customer conference. Now, its core content management and analytics technology will have a featured role in the Discovery Suite component of the project, which the vendor bills as the first-ever harmonized release of new EIM software advancements for extracting value from information and accelerating time to competitive advantage.
“We see that information management is becoming extremely strategic,” says Lubor Ptacek, VP of Strategic Marketing. There’s no competitive differentiation to be gained in the mundane any longer – in retail banking, for example, everybody offers savings, checking with zero cost, and so on, he notes, so “How do you compete? You do it by how well you apply information to recruiting more customers and turning money over faster. Efficiency and customer experience matter but many companies still manage their businesses in a very silo’d way.” But it’s only when there’s the ability to combine information from among all these disparate apps “that we can start helping our organizations to drive innovation and growth,” Ptacek says.
Medallia Expands Offering for Business-to-Business Companies With 360-Degree Account Management Reporting
PALO ALTO, California, November 12, 2013 — Medallia® the global leader in SaaS Customer Experience Management (CEM) solutions, today announced a new release of its Business-to-Business (B2B) offering. The release is designed to increase key stakeholders’ visibility into account feedback across B2B organizations so they can improve the customer experience.
How seamlessly are employees able to conduct searches for enterprise data?
According to a new survey from SearchYourCloud, not very. Some searches, it finds, take up to 25 minutes, and often users have to do 8 different queries until the right document is found. Only 1 in 5 searches come out with correct results the first time. “That’s appalling in this day and age,” says founder and CEO Simon Bain.
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