Posts Tagged ‘Salesforce’

Semantic Technology Jobs: Salesforce

salesforceSalesforce.com is searching for Software Engineers – Search Relevancy in Seattle, WA. According to the post, “The Search Engineering team at salesforce.com is seeking talented and experienced software engineers to develop the next generation of search relevancy behind our multi-tenant cloud-scale search system.  Ideal candidates have experience solving real-world search relevancy challenges in large scale hosted search services, have proven ability to design, develop, and optimize the critical sub-systems of a large-scale hosted service. We want you to develop and implement strategies for utilizing natural language processing, intent analysis, machine learning and other leading edge technologies to help drive measurable relevancy improvements in a variety of use cases and businesses that leverage our search to deliver rich user experiences.” Read more

Amid Mixed Picture For VC Investments, Silk Gets More Seed Funding

Just as reports are coming in that venture-backed companies based in Europe recently have raised more money but in a fewer number of deals, word comes from the team at Amsterdam-based Silk that its latest seed round has brought in an additional $1.6 million.

According to new analysis from Dow Jones VentureSource, VC-backed companies based in Europe raised EUR 1.3 billion through 273 venture capital deals during the second quarter of 2012. That marked a 14 percent increase in capital raised but a 20 percent decline in deals from the same period last year, it said. Additionally, second-round deals accounted for 19 percent of deal flow and 18 percent of capital invested, down from 25 percent and 28 percent, respectively, in the year-ago period, it said.

Silk in May 2011 completed a $475,000 funding round led by Atomico, the venture capital firm headed up by Skype co-founder Niklas Zennström.

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Attensity Pipeline: Social Media Conversations Analyzed, In Real-Time And In The Cloud At Scale

For many companies, understanding what’s being said about them or their products and services in the real-time social media space will only become more important. Vendors of social and customer analytics solutions are aiming to fill the need: A couple of weeks ago, heavyweight Salesforce said the Twitter firehose will be funneled to its social analytics arm Radian6. Last week, Attensity announced the Attensity Pipeline, which is its foray into providing a semantically annotated social media data stream in real-time, as a cloud service, tapping into the full Twitter firehose as well as public Facebook and Google Plus posts, blogs, forums, and video and review sites.

“We have had previous generations of this [technology] used in back end products that were more batch-oriented,” says Catherine van Zuylen, vp, product at Attensity. “This is the first time it is real-time and in the cloud at scale.”

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Semantic Web Technologies Will Move Into The Enterprise, One Domain At a Time

Semantic technology may find a home in corporate America for tackling its big data problems, subject domain by subject domain. MIIAtech is betting that those first verticals will be customer relationship management and human resources domains.

The company today launches its Tautona natural language processing platform into the CRM space. The platform for searching structured and unstructured data in such systems is described as using deep linguistic analysis and reasoning technology to extract meaning from language to understand stored information. And via the web-based system that can run on their desktops, tablets or smart phones, users can query these databases in natural language in order to fulfill complex search requests. They can do it across languages, too, which can be important to organizations with global salesforces.

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Lexalytics Chows Down on Wikipedia To Improve Text and Sentiment Analytics

Lexalytics, whose text and sentiment analytics engine underpins media monitoring solutions from vendors such as Radian6 (the recent acquisition target of Salesforce.com) and Scout Labs, has a new version of its Salience software that digested every bite of knowledge inside Wikipedia and built an understanding of the relationships between words and meaning to deliver its new Concept Matrix and dependent capabilities such as Facets and Collections.

“The common complaint from customers is, ‘There’s my tag cloud and it sucks,’” says Jeff Catlin, CEO of Lexalytics, separating concepts that are contextually similar rather than grouping them together and linking them to broader categories to which they are implicitly related. A 9-iron, golf club and driver are all part of the common concept of golf club, and that concept relates to other concepts like recreation and outdoors.  “Knowing that they are semantically related takes the tag cloud from this unwieldy thing to a directed view of what’s going on.”

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