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 […]
Location Analytics: Improving User Acquisition, Conversion, and Retention
Click to learn more about author Aditi Sinha. “Location” is critical for app-based delivery, logistics, and mobility companies. Who is this for? An app-based delivery company delivers whatever users order through their app right at the user’s location, anytime. On-demand companies, such as food delivery companies, supply chain companies like e-commerce businesses, hyperlocal delivery companies, […]
What is Deep Learning?
Deep Learning is a type of Machine Learning, using neural networks to grasp complex patterns. This type of technology allows Artificial Intelligence systems to perform human like tasks, “such as recognizing real-life objects or understanding speech.” While the operation of these brain-inspired networks remains inscrutable, their interconnected layers algorithms give machines the ability to be […]
Guided Labeling Episode 2: Label Density
Click to learn more about author Paolo Tamagnini. The Guided Labeling series of blog posts began by looking at when labeling is needed — i.e., in the field of machine learning when most algorithms and models require huge amounts of data with quite a few specific requirements. These large masses of data need to be […]
Why AI and Big Data Will Be the Heroes of the Great Recession
Click here to learn more about Dr. Tommy Weir. The current global crisis has ushered in a tough new reality that makes it difficult for employers and employees to cope, and we are all struggling. Let’s face it — with record unemployment and an uptick in virus cases across North America, we all know that […]
How Does Data Management Drive Efficiency for Organizations?
Data-driven analytics continue to deliver sophisticated solutions for manufacturing efficiency, early disease detection, and smart capabilities building in workplaces. Thus, industry operators and leaders continue raise their expectations and demands from data technologies with every passing year. Looking Behind the Curtain: What Really Drives Value from Data reveals some insights that global managers can learn […]
AI for the Good of Democracy: How AI Can Redeem Itself and Safeguard Elections
Click here to learn more about Golnar Pooya. With the stakes (and tension) impossibly high, November’s fateful election will now be held amidst a global pandemic of unprecedented scope. As things stand, American voters will still be called on to fulfill their democratic duty on schedule this year, though under the threat of an airborne […]
No More Iris: Three Ways to Become a Better Data Scientist
Click here to learn more about Ted Kwartler. Each semester I am tempted to teach my Harvard Extension students using standard data sets like Iris or Titanic. It would be easy with so many examples floating around. Plus, the explanation of a K-Nearest Neighbor algorithm fits perfectly into an Iris world. But honestly, real-world data […]
Productizing IT Services for Data Management Projects
Click to learn more about author Digvijay Lamba. Many organizations overcome a lack of data engineers by outsourcing their Data Management needs to IT service providers. Startups, small and mid-sized businesses, and even larger organizations are rich in domain expertise but inexperienced in preparing data for insights, which is why they hire outsiders to perform […]
Advances in Data Architecture
The continuous growth of data has led to large corporations investing heavily in technologies around large data volumes, allowing them to gain useful business intelligence that was unavailable to their smaller competitors. The evolution of public clouds has made big data technologies accessible to small businesses and startups. By using new advances in Data Architecture, […]