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 MoreHow IoT is Changing Research
The emerging Internet of Things (IoT) is a virtually connected network of physical devices. There is an ever growing interest and wide adoption of IoT. Emerging technologies are unleashing the true potential of designing a broad range of high-quality consumer applications. Smart cities, smart buildings, and e-health are among various application domains which are currently benefiting and will…
Read MoreMachine 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 MoreArtificial 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 MoreInsights 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 MoreData 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 MoreUsing 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 MoreComputing 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 MoreClassifications 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 MoreDigital Technology and Data Governance
As technology evolves and organizations embrace the digital change, the focus on big data and analytics projects can help create a single user view and deliver actionable insights to relevant stakeholders. Tech Republic brought this interesting information to our attention in their article, “Intelligent Data Governance For Dummies.” Before data can be put to work…
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