Posts Tagged ‘Machine learning’
Searching with Semantic Technology
We humans by nature don’t like long lists of things. Our brains get easily overwhelmed and, as cognitive misers, we prefer fewer options, shorter sentences and paragraphs, etc. Psychological research shows that humans can only parse seven plus or minus two things at a time—words in a sentence, sentences in a paragraph, menu items, etc. This…
Read MoreSmarter Machines
I know, with a title like that the inner sci-fi geek in you just went, “whaaat?” Granted, artificial intelligence (AI) devices may be best known from futuristic novels or or blockbuster movies, but there are some really cool things happening with those technologies today. Government Technology brought this interesting information to us in their article, “Tech Giants…
Read MoreSemantic Intelligence
We talk a lot of about semantic technology and machine learning here. But what do they mean exactly? In linguistics, meaning has two distinct branches or categories: semantic meaning and pragmatic meaning. Semantics belongs to the first category and helps us understand the meaning of words by their relationship to other words. Quora brought this interesting information to our…
Read MoreMaking Your Data Smarter
You can increase your data value by using big data with neural networks combined with ontologies to make your big data smarter. This interesting information came to us from CIO in their article, “Big data – a road map for smarter data.” Big data is a term that is used in the information technology industry to mean…
Read MoreData Analytics in the Bar
Beer and data analytics have paired up in an inventory system for bars and restaurants. DATAVERSITY brought this interesting information to us in their article,”Drink Up the Data Analytics: System Helps with On-Tap Inventory and Sales.” Retail establishments can use it to help them better understand and manage their on-tap inventory and improve their sales. It…
Read MoreMachine Learning and Vocabulary
An audio mining product called OmniTraq is using machine learning driven capabilities to detect customer sentiment and monitor service quality across a range of verticals. Market Exclusive brought this particular news to our attention in their article, “Yactraq Takes Machine Learning and Business Intelligence To A Whole New Level.” Yactraq is a machine learning company that delivers business intelligence…
Read MoreMachine Learning is Coming to the Party
Machine learning is embraced by the creators of PoolParty Semantic Suite. They are integrating improved machine learning capabilities to support the most critical knowledge engineering tasks. This interesting information came to us from KM World in their article, “PoolParty Introduces Machine Learning Capabilities to its Platform.” PoolParty is a semantic technology platform developed, owned and licensed by…
Read MoreUsing Machine Learning in Content Discovery
Content discovery is evolving at a quick pace. This transition could result in content catalogs that are easier to navigate, content descriptions that are more accurate and valuable, search that is more granular and recommendations that are more useful. This interesting news came to us from Videonet in their article, “How metadata unlocks the future of…
Read MoreSemantic Technology In Play
Expert System is partnering with MarkLogic Corporation so that their information management applications will be powered with cognitive capabilities. This interesting information came to us from Martech Advisor in their article, “Expert System and MarkLogic Partner to Enrich Information Management Applications with Cognitive Computing Abilities.” Expert System has created an intelligent semantic technology that can read and comprehend…
Read MoreMaking Content Findable
Improving patient outcomes, minimizing medical errors and reducing costs are worthy goals. The key to accomplishing all of these is data. DATAVERSITY brought this interesting news to us in their article, “Improving Clinical Insights with Machine Learning.” Data is the catalyst for eliminating unwarranted clinical variation and is essential to care models based on value. However, the…
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