Posts by Melody Smith
The Financial Side of Deep Learning
The global deep learning market is expected to grow at a CAGR of 51.1% from forecast period 2022 to 2030 and expected to reach around USD 415 Billion by 2030. This interesting information came to us from Globe Newswire in their article, “Deep Learning Market Size Will Achieve USD 415 Billion by 2030 growing at 51.1% CAGR…
Read MoreNavigating Search
Search is always changing. In these days of semantic enrichment, machine-assisted indexing, natural language processing (NLP) and artificial intelligence (AI), it has never been more complicated and simultaneously, never more effective. Boolean search is a structured search process that allows the user to insert words or phrases such as and, or, not to limit, broaden and…
Read MoreOnline Educational Opportunity on Publishing Metadata
Registration closes today to join the free online event – CHORUS Forum: Improving Scholarly Publishing Metadata – on September 29, 2022 at 11:00 a.m. – 1:00 p.m. ET. So don’t wait. This educational event will look at publishing metadata and address how funders, research administrators, librarians and publishers can work together to improve scholarly publishing…
Read MoreBeyond Collecting Data
Data literacy is a key component of data governance. Understanding the data and how it is integral to your business intelligence enables strategic data-driven decision making. Tech Republic brought this topic to us in their article, “Why is data literacy important to data governance?“ Data drives every business process, including sales, churn rates, supply chains,…
Read MoreExplaining AI
MIT researchers are striving to improve the interpretability of features so decision makers will be more comfortable using the outputs of machine learning models. They have developed a taxonomy to help developers craft features that will be easier for their target audience to understand. This interesting information came to us from Science Daily in their…
Read MoreValuable Technology
Data is gold. It is the lifeblood of machine learning models. But what happens when the access is limited? Is this where synthetic data can step up? Tech Republic brought this interesting information to our attention in their article, “Synthetic data: The future of machine learning.” Synthetic data is artificially generated by an artificial intelligence…
Read MoreTeaching AI
The use of synthetic data is a cost‑effective way to teach artificial intelligence (AI) about human responses. But what about bias? The Guardian brought this topic to our attention in their article, “Is ‘fake data’ the real deal when training algorithms?“ Big data defines the field of AI by training deep learning algorithms to have…
Read MoreAI in the Social Realm
Regardless of how much data artificial intelligence (AI) is made available, there will always be unseen situations in real-world deployments. Unfortunately, socially situated learning remains an open challenge for AI because they must learn how to interact with people to seek out the information that they lack. This interesting information came from The Proceedings of…
Read MoreCohesive Data
Data fragmentation refers to the dispersion of an organization’s data assets. The more data you have from different sources and stored in different spaces, the more likely it is to be scattered. This interesting information came to us from Blocks and Files in their article, “Data fragmentation needs a data intelligence fix.” Data visibility means knowing…
Read MoreCareer Options in Technology
Technology jobs have long been on the rise, but with the pandemic changing the way many businesses operate, there is an increased dependency on analytics to determine strategy. The Economic Times brought this interesting news to our attention in their article, “Big data analytics forecasted to be the most in-demand skill in 2022: Monster Annual…
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