Open in app

Sign In

Write

Sign In

Noodle.ai
Noodle.ai

160 Followers

Home

About

Jun 13, 2021

Deep Probabilistic Decision Learning Returns Perfect Flow to Operations

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…

Dpdm

5 min read

Deep Probabilistic Decision Learning Returns Perfect Flow to Operations
Deep Probabilistic Decision Learning Returns Perfect Flow to Operations
Dpdm

5 min read


Sep 1, 2020

Atlas, Noodle.ai’s Machine Learning (ML) Framework Part 3: Using Recipes to Build a ML Pipeline

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…

Mlops

11 min read

Atlas, Noodle.ai’s Machine Learning (ML) Framework Part 3: Using Recipes to Build an ML Pipeline
Atlas, Noodle.ai’s Machine Learning (ML) Framework Part 3: Using Recipes to Build an ML Pipeline
Mlops

11 min read


Jul 24, 2020

Atlas, Noodle.ai’s Machine Learning (ML) Framework Part 2: Design Premise & Architecture

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…

Artificial Intelligence

8 min read

Atlas, Noodle.ai’s Machine Learning (ML) Framework Part 2: Design Premise & Architecture
Atlas, Noodle.ai’s Machine Learning (ML) Framework Part 2: Design Premise & Architecture
Artificial Intelligence

8 min read


Jul 13, 2020

Atlas, Noodle.ai’s Machine Learning (ML) Framework Part 1: Challenges With Building AI Applications

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…

Machine Learning

8 min read

Atlas, Noodle.ai’s Machine Learning (ML) Framework Part 1: Challenges With Building AI Applications
Atlas, Noodle.ai’s Machine Learning (ML) Framework Part 1: Challenges With Building AI Applications
Machine Learning

8 min read


Published in

Noodling on The Future of AI

·Sep 19, 2019

Deep Probabilistic Decision Machines for Building a Causally Generative Process Model-based Action Control in Enterprise AI

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…

Machine Learning

16 min read

Deep Probabilistic Decision Machines for Building a Causally Generative Process Model-based Action…
Deep Probabilistic Decision Machines for Building a Causally Generative Process Model-based Action…
Machine Learning

16 min read


Published in

Noodling on The Future of AI

·Nov 4, 2018

Enterprise & Industrial AI Modeling

How it’s Done — by Matt Denesuk, Ph.D., Chief Data Science Officer, Noodle.AI Introduction 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…

Machine Learning

15 min read

Enterprise & Industrial AI Modeling
Enterprise & Industrial AI Modeling
Machine Learning

15 min read


Published in

Noodling on The Future of AI

·Oct 6, 2018

What’s Different about Enterprise & Industrial AI

and Why Does it Matter? — by Matt Denesuk, Ph.D., Chief Data Science Officer, Noodle.AI Why does AI matter to industrial firms and traditional enterprises? 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…

Machine Learning

9 min read

What’s Different about Enterprise & Industrial AI
What’s Different about Enterprise & Industrial AI
Machine Learning

9 min read

Noodle.ai

Noodle.ai

160 Followers

The Noodle.ai system of intelligence manages supply chain risk to conquer hidden waste and boost profits.

Following
  • ODSC - Open Data Science

    ODSC - Open Data Science

  • Hessie Jones

    Hessie Jones

  • Netflix Technology Blog

    Netflix Technology Blog

  • Joseph T. Hasselmann

    Joseph T. Hasselmann

  • AliceMyMai

    AliceMyMai

See all (92)

Help

Status

Writers

Blog

Careers

Privacy

Terms

About

Text to speech

Teams