On his personal website, Frederick Giasson reports, “We just released a new UMBEL web service endpoint and online tool: the Concept Tagger Plain. This plain tagger uses UMBEL reference concepts to tag an input text. The OBIE (Ontology-Based Information Extraction) method is used, driven by the UMBEL reference concept ontology. By plain we mean that the words (tokens) of the input text are matched to either the preferred labels or alternative labels of the reference concepts. The simple tagger is merely making string matches to the possible UMBEL reference concepts.” Read more
OpenText yesterday made its secure file sharing and synchronization product, Tempo Box, available for free to customers using its OpenText Content Suite enterprise information management tool.
“A lot of our customers have major concerns about employees sharing documents with cloud tools like Dropbox,” says Lubor Ptacek, vp of strategic marketing. They want them to be available, synched and sharable across all their devices, but using such services can create security and compliance problems. By deploying Tempo Box on top of their existing infrastructure, at no charge to all internal employees and any external parties they may need to share content with, companies get a seamless and cost-effective way to share files in the cloud without compromising security, records management requirements and storage optimization, he says – “the things that enterprise customers care about, especially those operating in regulated environments.”
Among those capabilities is applying automatic content classification, which is usually required for records management reasons – for example, helping companies determine if a document is an employee record they must keep for five years or a tax record they have to hold for seven years. That under-the-hood classification engine is an outgrowth of OpenText’s acquisition a few years back of text mining, analytics and search company Nstein. Since the acquisition, says Ptacek, the company has been looking at ways to apply the technology to specific business problems and make it part of its applications.
Early Warning Services is looking for a Principal Enterprise Engineer in Scottsdale, AZ. According to the post, “This position is a top technical role within our organization. This role provides application architecture and technical oversight for design, development, and maintenance of applications for new and enhanced products. This includes providing leadership and mentoring to enterprise and senior software engineers in the technical aspects of their assignments.” This role will “Lead or participate in the design, development, and maintenance of high volume, high performance, batch processing applications using Java as the primary language. Ability to work in and/or support C# and C++ is a plus. Preparation of application architecture and detail design documentation defining viable design approaches.” Read more
Daniela Hernandez of Wired reports, “Drawing on the work of a clever cadre of academic researchers, the biggest names in tech—including Google, Facebook, Microsoft, and Apple—are embracing a more powerful form of AI known as ‘deep learning,’ using it to improve everything from speech recognition and language translation to computer vision, the ability to identify images without human help. In this new AI order, the general assumption is that Google is out in front… But now, Microsoft’s research arm says it has achieved new records with a deep learning system it calls Adam, which will be publicly discussed for the first time during an academic summit this morning at the company’s Redmond, Washington headquarters.” Read more
Apple is looking for a Software Engineer, NLP in Santa Clara, CA. According to the post, “Do you want to be part of the team that delivers the best text input experience on iOS and OS X? Do you want do develop the best keyboards and input methods for customers worldwide? Are you interested in providing the best statistical language models, auto-correction and spellchecking experience to customers? The Natural Languages Processing team at Apple is hiring a Software Engineer to develop algorithms and data in these areas.” Read more
Jorge Garcia of Wired recently wrote, “IBM’s recent announcements of three new services based in Watson technology make it clear that there is pressure in the enterprise software space to incorporate new technologies, both in hardware and software, in order to keep pace with modern business. It seems we are approaching another turning point in technology where many concepts that were previously limited to academic research or very narrow industry niches are now being considered for mainstream enterprise software applications. Machine learning, along with many other disciplines within the field of artificial intelligence and cognitive systems, is gaining popularity, and it may in the not so distant future have a colossal impact on the software industry. This first part of my series on machine learning explores some basic concepts of the discipline and its potential for transforming the business intelligence and analytics space.” Read more
Data scientists can add another tool to their toolset today: GraphLab has launched GraphLab Create 1.0, which bundles up everything starting from tools for data cleaning and engineering through to state-of-the-art machine learning and predictive analytics capabilities.
Think of it, company execs say, as the single platform that data scientists or engineers can leverage to unleash their creativity in building new data products, enabling them to write code at scale on their own laptops. The driving concept behind the solution, they say, is to make large-scale machine learning and predictive analytics easy enough that companies won’t have to hire huge teams of data scientists and engineers and build the big hardware infrastructures that lie behind many of today’s Big Data-intensive products. And, the data scientists and engineers that do use it won’t need to be experts at machine-learning algorithms – just experienced enough to write Python code.
JPMorgan Chase is searching for an Application Architect – Vice President in Brooklyn, NY. According to the post, “The Cross Risk Information Strategy program is chartered to re-engineer multiple dimensions of Risk Technology Architecture and Infrastructure to improve accuracy, consistency, and granularity across Risk, Capital, and Regulatory Reporting. The team is new and highly motivated. This position provides an opportunity to use Semantic Web technology, to take on a challenging role that’s critical to our Risk and Regulatory environment.” Read more