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Data Driven Chaos
Data science feels like a generic term used by people who really don’t know what it is and assumes it is a group of geeks playing with numbers. However, data science continues to evolve as one of the most promising and in-demand career paths for skilled professionals. This interesting topic came to us from Tech Radar…
Read MoreDifferent Learnings
Deep learning isn’t new but there continues to be confusion around the difference between it and machine learning. We have discussed their similarities and individualities several times in the past, but let’s look at it again. This topic came to us from Analytics Insight in their article, “Understanding Deep Learning Vs. Machine Learning.” There are…
Read MoreFinding the Value in AI
It is hard to believe that there are still organizations who have not adopted some form of artificial intelligence (AI) but it is possible, and it is not too late. Inside Big Data brought this topic to our attention in their article, “New to AI Adoption? Don’t Let Data be Your Achilles Heel.” With the…
Read MoreOld Foe, Familiar Threats
Malware feels like a flashback from decades ago. Unfortunately, it is still prolific and dangerous. The term “malware” is a contraction of “malicious software.” Put simply, it is any piece of software that was written with the intent of damaging devices, stealing data and generally causing a mess. This topic came to our attention from the…
Read MoreTechnology Trends to Watch
Artificial intelligence (AI) and machine learning continue to be hot topics in 2021 as emerging technologies increasingly find their way into every part of our lives at home and at work. CRN brought this news to our attention in their article, “Five emerging AI and machine learning trends to watch in 2021.” Revenue generated by…
Read MoreTechnology at the Bar
Technology has long been involved in the making and curating of the content of our diets. More and more startups are developing technologies geared towards agriculture. Technology helps food manufacturers to produce more efficiently for a growing world population. Improving shelf life and food safety revolves around technology, and greater use of machines and software ensures affordability and consistent quality. This interesting…
Read MoreNatural Language Processing for All Languages?
Natural language processing (NLP) is the ability of a computer or machine to understand human language as it is written and its different characteristics. It is typically separated into four stages: understand, classify, retrieve and generate. The Times of India brought this interesting topic to our attention in their article, “Accuracy in AI is a…
Read MoreSeeing the Data
A data dashboard is an information management tool that visually tracks, analyzes, and displays performance metrics and data points to monitor the health of a business. Data dashboard has been all the rage for quite some time. People want a quick snapshot of the current status of sales, stock, activity – whatever they are tracking. Is this a…
Read MoreSecurity Concern with Membership Inferences in Machine Learning Data
Machine learning can turn any kind of data into mathematical equations. Once you train a machine learning model you get a set of numerical parameters. In most cases, the model no longer needs the training dataset and uses the tuned parameters to map new and unseen examples to categories or value predictions. Tech Talks brought this interesting…
Read MoreFinding the Story in the Data
Rule number one in communications is finding the story. All good stories are made better with data as reinforcement. Data and facts support statements and add a foundation to theories. In other words, there is power in numbers, even among words. This interesting topic came to us from Forbes in their article, “How Modern Communicators…
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