Findability or Discoverability

At first glance, the terms “findability” and “discoverability” may seem to refer to similar things. However, these concepts are very different, and both are key outcomes that should be considered in any comprehensive knowledge management strategy. CMS Wire brought this topic to our attention in their article, “Why Is Enterprise Search So Difficult?“ Findability is…

Read More

Technology and Sleep

Sleeping is one of the most important things we do, but what if we are doing it wrong? This interesting news came to us from BGR in their article, “MIT researchers figured out how to track sleeping positions without cameras or sensors.” Technology companies have worked out all sorts of ways of tracking sleep quality to improve…

Read More

Inside Predictive Analytics

Big data forecasting is not new. Scientists have been assembling and managing huge data sets with the goal of understanding everything from the spread of consumers’ online shopping habits, weather trends and COVID-19 long before the latter was even a thing. This interesting topic came to us from Brookings in their article, “Forecasting and predictive…

Read More

Machine Assisted Indexing Requires Finesse

Technology-assisted review (TAR) can help significantly decrease the amount of manual review required. As in most things, like machine assisted indexing, not all tools are created equal. This interesting information came to us from JD Supra in their article, “Beyond Basic TAR: Three Ways to Maximize Review Efficiency Utilizing Technology.” Machine assisted indexing is a…

Read More

Artificial Intelligence in Human Resources

Working from home was new and novel for millions in March. Six months later it is the normal for now and the foreseeable future. Aside from video conferencing, how can technology make this situation better for everyone – from employee to employer? This interesting information came to our attention from Human Resource Executive in their…

Read More

Insights into Data

Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. With today’s technology, it is possible to analyze your data and get answers from it in almost real time. This interesting topic came to us from Analytics Insight in their article, “What Enterprises Must Learn From Big Data and…

Read More

Data Science at Work

Even for some in the business, it feels like artificial intelligence (AI) functions and machine learning tasks happen behind the scenes in a magical sort of way. Intellectually we know that data professionals are performing data science but their roles are often missed when it comes to contributing to business functions such as analytics. Customer…

Read More

Using AI to Increase Diversity in AI?

Artificial intelligence (AI) has proven beneficial in many industries and applications. Interestingly, if applied properly, AI has the potential to help bridge the diversity gap in information technology by assisting with the recruitment process. Information Week brought this news to us in their article, “Can Artificial Intelligence Help Increase Diversity in IT?” Technology companies have…

Read More

Computing on the Edge

Many can relate to how hard it is to roll out edge-cloud solutions, especially given the multiple challenges at the edge itself. LF Edge brings together projects within the Linux Foundation, which “aims to establish an open, interoperable framework for edge computing independent of hardware, silicon, cloud, or operating system.” This interesting topic came to…

Read More

Classifications in Mental Health

Taxonomies exist in every industry from science to information management to healthcare. Classifications provide direction and consistency. Recently researchers have identified psychosis subgroups that may inform ongoing efforts to redefine the psychosis taxonomy using updated criteria. Healio brought this news to our attention in their article, “Five new subgroups may change psychosis taxonomy.” Schizophrenia and…

Read More