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 […]
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 […]
What Is a Data Analyst?
Data analysts help businesses make better, more informed decisions by not only collecting and investigating data, but also translating the relevant information into useful observations for their customers, which can include technical staff, business teams, or leadership. In many organizations, data analyst and data scientist roles share similarities, but data analysts focus on speedily interpreting […]
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, […]
ADV Webinar: Building and Growing Organizational Analytics with Data Lakes
To view just the slides from this presentation, click HERE>> About the Webinar Data lakes are providing immense value to organizations embracing data science. In this webinar, William will discuss the value of having broad, detailed, and seemingly obscure data available in cloud storage for purposes of expanding Data Science in the organization. About the […]
ADV Slides: Building and Growing Organizational Analytics with Data Lakes
ADV Slides: Building and Growing Organizational Analytics with Data Lakes from DATAVERSITY To view just the On Demand recording of this presentation, click HERE>> About the Webinar Data lakes are providing immense value to organizations embracing data science. In this webinar, William will discuss the value of having broad, detailed, and seemingly obscure data available […]
How to Transform into a Data-Driven Organization?
Click to learn more about author Konain Qurban. It is a journey to ensure the alignment of analytics initiatives to organizational objectives, combined with consistent and effective coordination of activities across all business units. The road from a pile of raw data to insights and from insights to action is paved with strategic goals. More […]
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: […]