Blogs

AI Isn’t Replacing Air Traffic Controllers; It’s Giving Them Better Decisions 

Artificial intelligence in aviation tends to attract two competing narratives. In one, AI solves congestion, delays, staffing challenges, and nearly every other operational problem. In the other, it is an unproven technology that threatens to remove experienced professionals from safety-critical decisions. Neither version accurately describes where AI is headed today in air traffic control.

By Melissa Rodriguez, ago

Similarity Learning for Image Geolocation

We decided to approach this problem as a similarity learning modeling effort. We used convolutional neural networks to train a model that takes an image or video as input and outputs a vector representation of the input, such that similar inputs will be close to each other in the vector space. The vector learning is driven by a triplet loss function.

By Drew Clancy, ago

Moving Fast & Deploying Predictive Analytics

Working in conjunction with subject matter experts, data scientists can swiftly apply statistical tools and uncover emerging trends. This is extremely valuable for companies trying to operate in a disruption. Not only will executives have an accurate representation of their present situation, but new products & services can be devised from these insights.

By Drew Clancy, ago

Combat Supply Chain Disruptions with Data Science

Global external shocks are going to continue to happen, that is a fact of operating a business in today’s environment. As companies embrace data science in their decision-making processes, they are better positioned to deal with these disruptions, allowing them to manage a risk-optimized supply chain.

By Drew Clancy, ago