Posts Tagged ‘Artificial intelligence’
AI at Home
Artificial intelligence (AI) is used in every industry and in more homes by the day. While technology giants tend to get all the limelight, banking and other financial sectors are showing signs of interest and adoption of AI. This interesting information came to us from The Paypers in their article, “2018 predictions: Artificial Intelligence for…
Read MoreNew and Trusted Technologies in Knowledge Management
Cognitive computing and machine learning are making a huge impact on knowledge management. New technology opens up new opportunities, but in the end it’s all about providing a better customer experience. KM World brought this interesting information to our attention in their article, “How Cognitive Computing is Shaping Knowledge Management.” Machine learning provides computers with the ability…
Read MoreNatural Language Processing to the Rescue
IHS Markit has taken the step into natural language processing (NLP) to improve the content of its event catalogs across all of the vendor’s vertical offerings. Markets Media brought this interesting information to our attention in their article, “IHS Markit Turns to Natural Language Processing.” They plan to use the artificial intelligence (AI) discipline to take…
Read MoreDigital Workplace Conference
The world is becoming more and more digital-based and the workplace is no different. Here is an educational learning opportunity that was brought to our attention that can help anyone involved in corporate culture, employee engagement, and digital workplace initiatives. Digital Workplace Experience is being held June 18-20, 2018 in Chicago, Illinois. This conference is a…
Read MoreLegislation on Data Privacy Impacts AI
The General Data Protection Regulation (GDPR) is a regulation in European Union (EU) law on data protection and privacy for all individuals within the European Union and the European Economic Area (EEA). It also addresses the export of personal data outside the EU and EEA. Primarily it aims to give control to citizens and residents over their personal data and to simplify the regulatory environment for international…
Read MorePeer Review Under Review
Discussions around peer review and whether it is subjective or objective continues to takes place. The author reminds us that at the end of the day peer reviews are opinions. He, along with a video clip of mathematician and author, Cathy O’Neill, suggests that opinions are in play with algorithms as well. This interesting topic…
Read MoreThe Relationship of Learning
The Linux Foundation has announced LF Deep Learning Foundation, designed to further promote open-source artificial intelligence (AI) and machine learning. This interesting information came to us from ZDNet in their article, “Linux Foundation pushes open-source AI forward with the Deep Learning Foundation.” Artificial intelligence is the future and it is now. It is already part of our…
Read MoreVoice Recognition and Activation Continues to Evolve
IBM has launched Watson Assistant, a new service aimed at companies looking to build voice-activated virtual assistants for their own products. This information came to us from The Verge in their article, “IBM’s Watson Assistant lets any company build Alexa-like voice interfaces.” Integrating voice-activated virtual assistants in environments like customized hotel rooms and even cars is…
Read MorePlaying Word Games with AI
You have heard of audio books that talk to you, but what about talking to the books? This interesting information came to us from Engadget in their article, “Google AI experiment has you talking to books.” Everyone is reporting about how Google Research is using natural language processing in artificial intelligence (AI) on what it calls…
Read MoreModeling the Data
A data model is an abstract model that organizes elements of data and standardizes how they relate to one another and to properties of the real world entities. A data model explicitly determines the structure of data. DATAVERSITY brought this interesting topic to our attention in their article, “Detecting Data Models.” Common types of data models include flat hierarchical, network,…
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