Perficient is looking for a Big Data Solution Architect to work anywhere in the United States — this person will travel about 75% of the time. According to the post, “Perficient is looking for Solution Architecture Consultants who are passionate about data and can lead the building of next generation Big Data and predictive analytic applications. You will be working with Perficient business units and technology partners to understand client business objectives and drive solutions that efficiently meet the needs of the business. You will be responsible for guiding the full lifecycle of delivery of information management systems, identifying, quantifying, and winning Perficient consulting opportunities, and providing industry thought-leadership; all while building one of the industry’s leading-edge consulting practices. ” Read more
SAN DIEGO — Teradata (NYSE: TDC), the analytic data platforms, marketing applications, and services company, today announced two acquisitions that accelerate the growth of its big data capabilities.
On July 16th, Teradata acquired assets of Revelytix, a leader in information management products for big data with unique metadata management technology and deep expertise in integrating information across the enterprise. On July 17th, Teradata acquired assets of Hadapt, including experienced big data technologists and intellectual property. Read more
Seth Grimes, president and principal consultant of Alta Plana Corp. and founding chair of the Sentiment Analysis Symposium, has put together a thorough new report, Text Analytics 2014: User Perspectives on Solutions and Providers. Among the interesting findings of the report is that “growth in text analytics, as a vendor market category, has slackened, even while adoption of text analytics, as a technique, has continued to expand rapidly.”
Grimes explains that in a fragmented market, consisting of everything from text analytics services to solution-embedded technologies, the opportunities for users to practice text analytics is strong, but that increasingly text analytics is not the main focal point of the solutions being leveraged.
Reflecting the diversity of options, respondents listed among their providers a number of open-source offerings such as Apache OpenNLP and GATE, API services such as AlchemyAPI and Semantria, and enterprise software solution and business suite providers like SAP. The word cloud above was generated by Alta Plana at Wordle.net to show how users responded to the question of companies they know provide text/content analytics functionality. Nearly 50 percent of users are likely to recommend their most important provider.
Among the many exciting activities at the 10th Annual Semantic Technology & Business Conference (#SemTechBiz) is the partnership with the Linked Open Data in Libraries Archives, and Museums (LODLAM) Community. On Tuesday, August 19, 2014, LODLAM will hold a full day of trainings at the SemTechBiz Conference in San Jose, California. Registration information is available here.
We spoke to Jon Voss, Co-Founder of the International LODLAM Summit, about the Training Day:
SemanticWeb.com: What is the LODLAM Training Day?
SW: What can people expect to learn?
JV: We’ve broken the day down into two sections, basically: publishing data and reusing data. The first part of the day we’ll look at ways that libraries, archives and museums are putting massive amounts of structured data online for the public good, and what techniques and tools you can use to do it. The second part of the day we’ll be looking at using this data in different ways, how to use SPARQL queries, how to build data into other mashups, how to use open datasets to improve your own data, etc.
Apple is looking for a Siri Software Engineer, Data Services in Santa Clara, CA. According to the post, “The Data Services team is looking for outstanding engineers to build the next-generation of search and data infrastructure at Apple, to power features including Siri and Spotlight’s smart suggestions… Excited about shipping products used by hundreds of millions of customers? Applying cutting-edge technologies to create services that just work? If so, this might just be the place for you. Come work in an environment that will challenge you to push your limits, and train you to succeed as part of a team. Candidates must be willing to take on demanding projects in the areas of semantic search, structured data, knowledge representation, and distributed architecture. Key to success will be the ability to deliver results, a passion for perfection, and a willingness to keep learning and improving oneself.” Read more
Bruce Rogers of Forbes recently wrote, “There is a wave of digital disruption coming at CMOs from all fronts. The world has shifted over the past five years, mostly because of the emergence of the ‘internet of things’–a world where nearly everyone and everything is interconnected in a web enabled network. But according to Alex Dayon, former co-founder of Business Objects and now president of Salesforce.com’s applications and platform products, ‘we could call ourselves the ‘internet of customers’ because we’ve always connected devices and apps. It means there’s a customer behind it. By 2020 there will be 50 billion connected devices. And behind every device, whether it’s a smartphone, a car, a toothbrush, or a light bulb, there is a customer’.” Read more
HELSINKI, Finland, July 17, 2014 /PRNewswire/ — Leiki, Ltd, a leading provider of content discovery solutions for publishers and advertisers announce today that it has agreed with Outbrain, Inc, to enhance the relevancy of their related and sponsored content delivery. As a result of this cooperation, consumers will see content recommendations that are more directly relevant to the articles they are reading and publishers and sponsors will enjoy higher consumer engagement.
Outbrain will use the Leiki Focus semantic engine to analyze web pages using the Leiki-proprietary 130,000 contextually definitive topics. The resulting weighted profile consists of the 50-200 most relevant topics and provides a highly accurate and detailed “context fingerprint”. Outbrain will use this as part of their core delivery system to find matching articles from within the publisher’s domain as well as among the Outbrain sponsored content network. Read more
AlphaSense’s Advanced Linguistics Search Engine Could Buy Back Time For Financial Analysts To Do More In-Depth Research
When Raj Neervannan, CTO and co-founder of financial search engine company AlphaSense, thinks about search, he thinks about it “as a killer app that is only growing…..People want answers, not noise. They want to ask more intelligent questions and get to the next level of computer-aided intelligence.”
For AlphaSense’s customers – analysts at large investment firms and banks or any other industry, as well as one-person shops – that means search needs to get them out of ferreting through piles of research docs for the nuggets of information they really need. Neervannan knows the pain of trying to interpret a CEO’s commentary to understand what he or she was really saying when making the point that numbers were going down when referring to inventory turns. (Jack Kokko, former analyst at Morgan Stanley, is AlphaSense’s other co-founder.)
“You are essentially digging through sets of documents [using keyword search], finding locations of terms, pulling them in piece by piece and constructing a case as to what the company’s inventory turn was really like – what other companies’ similar information was, how that matches up. You have to do quantitative analysis and benchmarks, and it can take weeks,” he says.
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