What is Powering Data Analytics?
Artificial intelligence (AI)-powered systems can analyze data from hundreds of sources and offer predictions about what works and what doesn’t. AI can also deep dive into data analytics about customers and offer predictions about consumer preferences, product development, and marketing channels. This interesting information came to us from IT Web in their article, “The (near)…
Read MoreEmerging Technologies are Changing the Game
Classification plays an important role in many applications of artificial intelligence (AI), such as image recognition, speech recognition, and natural language processing. For example, image recognition systems use classification algorithms – analyzing patterns and features – to identify objects in images. This topic came to our attention from Pitch Book in their article, “AI, intelligent…
Read MoreData and Emerging Tech
When it comes to energy, artificial intelligence (AI) contributes to the real-time monitoring of power grids, more accurate predictions of power fluctuations, and the development of new strategies to work with geothermal energy sources. Smart Energy International brought this interesting information to our attention in their article, “How to advance data analysis and AI in…
Read MoreEmerging Tech and E-Commerce
One of the primary roles of emerging technologies is to make humans more efficient and more effective. Technological advances help us to do more using fewer resources while enhancing products and services and fueling innovation. Ad Age brought this topic to us in their article, “How Machine Learning Can Create a More Relevant, Profitable E-Commerce Experience.” The…
Read MoreSemantic Technology Continues to Emerge
Semantic technology emerged as a powerful tool for enhancing the way computers and humans interact with data. It represented a shift from traditional keyword-based search to a more sophisticated understanding of language and context. This technology is based on the idea of using metadata or tags to describe data in a way that can be…
Read MoreFindability with Machine-Assisted Indexing
One of the key advantages of machine-assisted indexing is its ability to process vast amounts of information quickly and accurately. This interesting topic came from Clinical Leader in their article, “AI-Assisted Indexing Improves TMF Management.” Machine-assisted indexing refers to the process of using computer algorithms and software to automatically generate index terms for documents. This technology…
Read MoreMaking the Data Work
Enriching metadata with better tags and descriptions makes search quicker and easier. Recent advances in IT and artificial intelligence (AI) offer remarkable opportunities for the automatic enrichment of metadata with minimal resources. Involving humans in this work still remains important. Metadata enrichment is about the filtering of incoming data in a governed data landscape by…
Read MoreAI’s Role in Classification
Classification plays an important role in many applications of artificial intelligence (AI) such as image recognition, speech recognition, and natural language processing. This interesting information came to us from an ABC affiliate out of Australia in their article, “Artificial intelligence technologies could be classified by risk, as government consults on AI regulation.” In AI, classification…
Read MorePerspective on AI
There has always been fear surrounding artificial intelligence (AI) and, with the recent advances using natural language processing (NLP) and chatbots, it has increased substantially. There are, however, perpetual advances in science. It’s up to us to find the benefits where we can. Analytics Insight brought this interesting information to our attention in their article,…
Read MoreEmerging Tech in Healthcare
Predictive analytics is making strides in healthcare, predicting and optimizing healthcare outcomes. Machine Learning Times brought this interesting information to us in their article, “Wise Practitioner – Predictive Analytics Interview Series: David Talby, PhD of John Snow Labs.” Predictive analytics has been applied to accelerating clinical trials, predicting disease progression, providing clinical decision support, analyzing…
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