Using AI’s Potential
Artificial intelligence (AI) is significantly impacting the world and still there is a great deal of unknown on the part of users. Is this because the public’s imagination has been heavily shaped by science fiction? This interesting information came to us from Future of Sourcing in their article, “Taking the Mystery Out of AI.” Current…
Read MoreAuto-Indexing Benefits
No one will argue how helpful auto-classification or auto-indexing is to the world of making content findable. Automated indexing is the process of assigning and arranging index terms without human intervention. The index is produced using algorithms, rulesets or machine learning. The world is continuously shifting from manual to automated practices. Government entities are following suit, paving…
Read MoreJournal Publisher Looks to Data Acquisition
Elsevier recently announced that it has entered into an agreement to acquire higher education technology company Interfolio. The Scholarly Kitchen brought this news to our attention in their article, “Elsevier to Acquire Interfolio.” Interfolio is best known for career management and impact assessment products. Elsevier’s acquisition will further strengthen it as a provider of platforms…
Read MoreUnderstanding Language to Improve Findability
Natural language processing (NLP) is a term we hear frequently. However, natural language understanding (NLU) is often confused with NLP. Interestingly, they both make search more intelligent and ensure people can search and find what they want. The Search Engine Journal brought this interesting information to our attention in their article, “How NLP & NLU…
Read MoreSmart Search Produces Results
Findability for users (whether internal or external) is important. Google Cloud has released a new fully managed search tool, called Retail Search, which is aimed at retailers who are concerned about product discovery on their digital platforms. This interesting information came to us from CIO in their article, “Google Cloud brings its search smarts to…
Read MoreImproving the Value of Data with Semantic Enrichment
Semantic enrichment of building models refers to the automatic or semiautomatic addition of meaningful information to a digital model of a building or other structure by software that can deduce new information by processing rules. This interesting topic came to us from Research Information in their article, “Bringing people together for semantic enrichment.” Semantic enrichment…
Read MoreHealthcare Data Stratetgy
A recent survey of healthcare executives revealed their lack of trust when it comes to data. This is especially ironic given they are fundamental to making clinical and business decisions. Fierce Healthcare brought this interesting news to our attention in their article, “Most healthcare executives don’t trust their organization’s data, survey finds.” Having confidence that…
Read MorePredictive Algorithms Find New Application
Making predictions using time-series data typically requires several data-processing steps and the use of complex machine learning algorithms, which have such a steep learning curve they aren’t readily accessible to nonexperts. This is where deep learning technology is usually applied, but maybe there is a different option. This interesting information came to us from MIT…
Read MoreFighting Fraud with AI
Utilizing artificial intelligence (AI) to distinguish fraud has helped organizations in examining huge quantities of exchanges to uncover misrepresentation patterns. Analytics Insight brought this interesting information to our attention in their article, “How Artificial Intelligence is Used in Fraud Detection.” At the point when extortion is conceived, AI models can be put to use to…
Read MorePerfecting Search
In the world of search, users don’t always enter the precise words they are searching for, which can limit or misconstrue the results. This interesting information came to us from Mark Tech Post in their article, “Spotify Employs Natural Language Search/Semantic Search For Podcast Episodes.” Search algorithms have to compensate using fuzzy matching, normalization and…
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