By: Hyungil Ahn, SVP & Chief AI Scientist, Noodle.ai
FlowOps enables optimal experience, predictions and decisions in the operations of factories and supply chains.
In human brains, there are three key learning functions related to how we sense, predict and decide. Findings in computational neuroscience [1, 2] suggest that different…
By Rupal Sonawane, co-authored with Prateek Mishra
Part 2 in this series provided an introduction about what Recipes are and the potential benefits. In this blog, we will take a deep dive into a Recipe implementation contrasting with the typical Machine Learning (ML) pipeline implementation. We recommend reading Atlas Part…
by Prateek Mishra, Director of Engineering, Noodle.ai
To design a system the first step is to understand the problems and the constraints. Each architecture is unique in the way it solves for these and there is usually more than one solution.
In the Part 1 (Noodle Blog/Medium) of this blog…
by Prateek Mishra, Director of Engineering, Noodle.ai
Noodle.ai is focused on providing AI products to address a diverse set of problems which could aide in better visibility, decision making and waste reduction for our Enterprise customers. This two-part blog covers the journey of building our in-house ML framework — Atlas…
by Chief Scientist, AI and Data Science, Hyungil Ahn, Ph.D. and the AI R&D team
There are many machine learning libraries and automated tools that might be applied to enterprise AI problems. We find that these tools tend to support only the “associative” AI problem setups such as regression, classification…
by Matt Denesuk, Ph.D., Chief Data Science Officer, Noodle.AI
My earlier paper¹ described how Enterprise & Industrial AI differed from more popularized applications of AI. The latter tended to be more “mature” (i.e. at the later stage of creating solutions to the problem) and also tended to be targeted at…
by Matt Denesuk, Ph.D., Chief Data Science Officer, Noodle.AI
Throughout modern business history, industries that have become substantially all about “data + math” have seen both enormous gains in productivity as well as disruption of business models and business leadership. Today, we call this digital transformation. Financial services and banking…
