Predictive Science in Application
Predictive modeling and predictive analytics are terms used, often interchangeably, in big data. Predictive modeling uses regression models and statistics to predict the probability of outcomes and it can be applied to any unknown event. Predictive modeling is often used in the field of machine learning and artificial intelligence (AI). The model is chosen using detection theory to…
Read MoreThe Quality of Data
Analytics has long been the bible of data and insight. It’s easy to forget that analytics are only as good as the data that informs the results. Digital Insurance brought this interesting topic to our attention in their article, “After the pandemic, can insurers still trust analytics?“ The pandemic has changed the business environment. It…
Read MoreSearch and Find
Enterprise search can retrieve data, both structured and unstructured, within the company. It is beneficial because it enables users to easily access organized information. This interesting information came to us from Tech Target in their article, “How businesses should deal with enterprise search issues.” Content without access is relatively worthless. Enterprise search is how an…
Read MoreRelevant Use of AI
The fires in the Bay Area were triggered by massive amounts of lightning strikes. For the past month, lightning has been igniting hundreds of fires that quickly started to grow, merge and spread. Firefighters use a multitude of tools to fight fires, but one might surprise you. This interesting news came to us from Government…
Read MoreTaxonomies for Financial Consistency
A new handbook outlining standards for the financial technology (fintech) sector has been released in an effort to unify regulators, policy makers and stakeholders. This interesting topic came to us from the Business Mirror in their article, “Group pushes standards to unify fintech industry.” The fintech taxonomy carries the title “Unchartered Beyond” and includes standards for…
Read MoreAccess Innovations Represented in the NKOS Workshop Panel
Networked Knowledge Organization Systems (NKOS) is holding their 2020 Workshop as a virtual meeting over September 9-10, 2020. It will focus on health and medical as well as overall knowledge organization systems. As part of the workshop, one session titled, “Facing the World Wide Health Crisis with Vocabulary Control and Standards” will feature a panel…
Read MoreData Quality in Strategy
The volume of market data, historical prices and transactional data that is stored in disparate systems allows organizations to not only collect the data, but extract value from it. This information came to our attention in Finextra’s article, “Unlocking Data Silos to Reach the Promised Land of Smart Data Analytics.” Data quality is critical to…
Read MoreVolume of Data Requires Governance and Taxonomy
The continuous push and pull of new regulations, projects and analytics investments create constant disruption for organizations. The volume of data created and managed is overwhelming. To address this, it feels like a refresher on data governance 101 is in order. This interesting topic came to us from ZD Net in their article, “Data governance for…
Read MoreSenior Data Scientist Opportunity in London
To be as helpful as possible to those in the fields of taxonomy, indexing, semantic technology, ontology, etc., we are sharing career opportunities that we find with our readers. Even if you are not in the market for a career move, it is always good to stay on top of what is available and how the fields are evolving.…
Read MoreOpen Source and Culture
The term open source refers to something people can modify and share because its design is publicly accessible. Behind any successful open source project or product there is typically a passionate and close community collaborating under the virtue of transparency to develop services that break from tradition. This is a cultural issue, and one that pushes the industry to…
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