Posts Tagged ‘Machine learning’
A Child’s Understanding
Explaining artificial intelligence (AI) can be a challenge, especially to children – or maybe to professionals? This interesting video demonstrates the challenges of explainable AI from different perspectives. It came to us from Wired in their article, “Computer Scientist Explains Machine Learning in 5 Levels of Difficulty.” Understanding machine learning and how it works is…
Read MoreMachine Learning and Credit Scoring
The rise of machine learning promises a new way of delivering successful outcomes and solutions across a plethora of industries, services and applications. Finextra brought this interesting topic to our attention in their article, “How Machine Learning is changing credit decisioning forever.” In the finance world, machine learning has been widely used in areas such…
Read MoreRealizing the Value of Data
It is no secret that to succeed in the digital economy, organizations need to view their data as the asset it is, and unlock its value. CPO Magazine brought this interesting information to our attention in their article, “Unlocking Value With Privacy-Preserving Machine Learning.” Data has depth and layers. Its value, meaning and protection requirements…
Read MoreUnderstanding Artificial Intelligence
Artificial intelligence (AI) is a word thrown around quite a bit these days. And it is done in a way that assumes there is only one type or presentation of AI instead of the plethora of applications that AI may be or enhance. Maybe this is because AI is really still in its infancy? This…
Read MoreFinding Meaning in Data
According to CIO in their article, “Machine learning is demonstrating its mettle across industries“, machine learning and artificial intelligence (AI) were the most disruptive technologies in 2020. Disruptive can be defined as innovative or groundbreaking, or to prevent something from continuing or operating in a normal way. Machine learning and AI have the power to change…
Read MoreMachine Learning and AI Working with Data
Machine learning is becoming an important tool in many industries and fields of science. However when it comes to research and development, there are less clear paths. Tech Talks brought this topic to us in their article, “The dos and don’ts of machine learning research.” In a paper recently published on the arXiv preprint server, Michael Lones,…
Read MoreCreating Consistency
The term knowledge graph was introduced by Google in 2012 referring to its general-purpose knowledge base, though similar approaches have been around since the beginning of modern artificial intelligence (AI). Today, knowledge graphs are used in anything from search engines and chatbots to product recommenders and autonomous systems. This topic came to us from International…
Read MoreUnderstanding the Why and How of AI
During the pandemic, researchers have and continue to use artificial intelligence (AI) to augment data and help identify antiviral compounds and therapeutic research for treating COVID-19. The technology helped generate more data to support algorithms. However, despite the evolution of AI, most organizations continue to struggle with adoption. Is this because they don’t understand it?…
Read MorePowerful Search
At a recent conference, the question was posed “Does the wider adoption of machine learning mean the end of search as we know it?” Northern Light CEO David Seuss believes it does and how search must leverage smart taxonomies going forward. This interesting topic was brought to our attention by Database Trends and Applications in…
Read MoreShow The Work
Artificial intelligence (AI) is a term used more and more casually in business, technology and even at home. Its application is used frequently but not always in the same context. For example, airlines and airports are now embracing new technologies and turning to AI to support their customer service. International Airport Review brought this interesting…
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