Asking questions is one of the best ways to learn. But sometimes you don’t know where to start or what to ask—especially on a topic like anomaly detection that you’re still becoming familiar with. In that case, it’s best to listen to the questions of others and let their line of thinking guide your learning. Below are some questions we received during our “Ask Me Anything: … [Read more...] about 7 questions on how to use machine learning for anomaly detection
Why you need ML ops for successful innovation
Today there are 275 unicorns, private companies with over $1 billion in valuation, around the world. These companies are changing the way we do business, requiring everyone to adopt a more accelerated pace of innovation to create hyper-personalized customer experiences—all built upon a more effective use of data and technology. To keep up and maintain a competitive … [Read more...] about Why you need ML ops for successful innovation
Love it or hate it: AutoML is here to stay
In the data and analytics world, trends come and go. A few years ago, the term “big data” was all the rave. Now, it is simply an implicit capability that many organizations possess. More recently, however, terms like artificial intelligence (AI) and Auto ML (automated machine learning) have been making their way into the buzzword bingo cards. Put AI aside for the moment and … [Read more...] about Love it or hate it: AutoML is here to stay
It’s not just math; ML ops delivers the value of data science
Recently, Gartner published their annual Magic Quadrant for Data Science and Machine Learning Platforms (DSML) 2019. Many businesses use this report to help shortlist vendors for consideration when beginning new projects or making purchase decisions. This year’s analysis has seen seismic shifts in the positions of many vendors and Gartner states that this is a “dynamic and … [Read more...] about It’s not just math; ML ops delivers the value of data science