Click here to learn more about Dr. Tommy Weir. Among the many tough questions that this latest — and potentially greatest — recession is throwing at businesses, is what their AI strategy should look like, both in order to navigate the downturn and to bounce back when it’s all over. Needless to say, there is […]
Guided Labeling Episode 4: From Exploration to Exploitation
Click to learn more about author Paolo Tamagnini. One of the key challenges in using supervised machine learning for real world use cases is that most algorithms and models require a sample of data that is large enough to represent the actual reality your model needs to learn. These data need to be labeled. These […]
What is the KMeans Clustering Algorithm and How is it Used to Analyze Data?
Click to learn more about author Kartik Patel. This article provides a brief explanation of the KMeans Clustering algorithm. What is the KMeans Clustering algorithm? The KMeans Clustering algorithm is a process by which objects are classified into number of groups so that they are as much dissimilar as possible from one group to another, and […]
A Brief History of Open Source Data Technologies
Openly sharing information has been a part of human culture since the beginning of civilization. Information would be shared with the general community and the practice has had a powerful impact on the development of tools and machinery. In opposition to this practice, is the concept of ownership and control over new ideas and concepts, […]
Mise en Place for Data Science
Click to learn more about author Curt Bergmann. When guests arrive at a great restaurant, the chef and all the cooks have already planned and assembled everything they need to quickly deliver excellence on a plate. Their process, called mise en place, is used by chefs all over the world. Emerging after the introduction of […]
Fundamentals of Machine Learning Enabled Analytics
The famous theoretical physicist Stephen Hawking said, “It’s tempting to dismiss the notion of highly intelligent machines as mere science fiction.” Artificial intelligence (AI), the game-changer technology of the global business world, comprises three distinct sub-disciplines: machine learning (ML), natural language processing (NLP), and cognitive computing. Automated solutions in business analytics use all these sub-technologies, […]
Liberated Data Can Power Your Company Through a Crisis and Beyond It
Click to learn more about author Karl Hampson. The staggering implications of the current pandemic have entirely changed today’s business landscape, leaving leaders looking for solutions that will help them thrive or even just survive this unprecedented environment. While the COVID-19 crisis poses many challenges — and there are indeed significant problems on many fronts […]
K-Anonymization: An Introduction for First Graders
Click to learn more about author John Murray. Now that privacy-enhancing technologies (PETs) have become a subject of dinner table conversations, our research team continues to field questions on these complex topics which can be difficult to explain. As part of this series, I will attempt to explain another PET, K-anonymization, in a first-grade context: […]
What is Edge Computing?
Edge Computing uses a network of microdata stations to process and store Big Data locally, taking the concept of a distributed architecture to the next level. With the growth of sensor data from the Internet of Things (IoT), bottlenecks in network traffic, and the drawbacks of using Cloud Computing (such as spotty internet connection), Edge Computing […]
Guided Labeling Episode 3: Model Uncertainty
Click to learn more about author Paolo Tamagnini. In this series, we’ve been exploring the topic of guided labeling by looking at active learning and label density. In the first episode, we introduced the topic of active learning and active learning sampling and moved on to look at label density in the second article. Here […]