Posts by Melody Smith
Protecting Machine Learning
Machine learning has become an important component of many applications we use today. And adding machine learning capabilities to applications is becoming increasingly easy. Interestingly, many machine learning libraries and online services don’t even require a thorough knowledge of machine learning. This interesting topic came to us from Pete Warden’s Blog in his post, “How…
Read MoreUsing Emerging Technologies in Seismology
Predictive analytics is used in meteorology primarily, but also healthcare and other industries where data is available to help determine and advise best next steps. Can it also be used to predict natural phenomenon’s like earthquakes? This interesting news came to us from KTLA out of Los Angeles in their article, “Earthquake researchers hope artificial…
Read MoreFindability and Taxonomies
Large amounts of data are generated in chemistry labs, both digitally and non-digitally. They are often reported in ways non-accessible to both humans and machines. Nature brought this interesting information to us in their article, “Making the collective knowledge of chemistry open and machine actionable.” The authors of this particular article argue that a modular…
Read MoreMachine Learning in Practice
Machine learning is not new. Across the business world, machine learning permeates more and more offerings and processes. CIO Insight brought this topic to us in their article, “What is Machine Learning?“ Although machine learning has been around for decades, its practical applications are now coming into focus as it helps companies better understand their customers. As…
Read MoreManaging Too Much Data
When the amount of new data generated surpasses the limit of institutions to manage it, and makes it difficult for analysts to analyze it and researchers to deduce any useful conclusions from it, this is known as a data deluge. This interesting topic came to us from the Society for Human Resource Management (SHRM) in…
Read MoreIt Needs More…
You thought I was going to say cow bell, didn’t you? Actually we need more power. Digital technologies are changing the world. With over 2.5 exabytes of data already being created every day, the data deluge is expected to increase. Analytics Insight brought this interesting topic to our attention in their article, “The Future of…
Read MoreCleaning up the Data
Data normalization is the process of organizing data into tables in such a way that the results of using the database are always unambiguous and as intended. Such normalization is intrinsic to relational database theory. It may have the effect of duplicating data within the database and often results in the creation of additional tables. In a nutshell, data…
Read MoreRansomware and Cybersecurity of Concern
Ransomware has long been a focus of concern with many resources allocated to protect systems from the intrusion. USA Today brought this interesting information to our attention in their article, “‘Ticking time bomb’: Russian ransomware attacks are coming. What small businesses should do right now.” In ransomware attacks, hackers lock down computer networks and demand…
Read MoreMaking Data Findable
How do major organizations use data and analytics to inform strategic and operational decisions? The answer lies in big data analytics. Analytics Insight brought this interesting information to our attention in their article, “Upcoming Trends of Big Data Analytics for Effective Data Management in Future.” Few dispute that organizations have more data than ever at their…
Read MoreRetailers are Relying on Emerging Tech
Emerging technologies are being used in a variety of industries and applications to improve processes, add efficiency and better outcomes and even save lives. This interesting news came to us from Whole Foods Magazine in their article, “How Machine Learning Can Reduce Food Waste in Grocery Stores.” In the world of grocery retail, food waste…
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