• Home
  • About
  • Our Services
    • AI Applied
    • AI Accelerate
  • Key Industries
    • Finance and Banking
    • Healthcare
    • Manufacturing
    • Retail
    • Product Design and Development
    • Smart City and Infrastructure
  • Resources
    • Case Studies
    • Ebook: How to Bring AI to Your Organization
    • Free Guide: Discussion Questions for AI Readiness
    • New Research: 50 AI Examples from the Fortune 500
  • Projects
    • Unredactor
    • Coronavirus Facts & Myths
  • Coronavirus + AI
    • Apply for Manceps' Covid-19 AI Initiative
    • Coronavirus Facts & Myths
  • Blog
  • Contact us
Manceps
3357-4043-tech-and-telecoms-ai-ebook.jpg
Free Resource

AI Examples from the World's Biggest Health Care Companies

At Manceps, we’re on a mission to help companies build and deploy AI solutions at scale. One thing our clients ask us all the time is—
 
WHAT CAN YOU ACTUALLY DO WITH AI?
 
Going company by company, we were surprised and delighted by all the ways that Artificial Intelligence and Machine Learning are helping manufacturers make BIG CHANGES.
 
We’re talking skyrocketing throughput, optimizing the supply chain, and accelerating research and development.
 
This deeply-sourced ebook covers more than a dozen companies and use cases.
 
We hope you enjoy taking a peek into the future!

Featured Companies

3366-how-ge-is-using-ai.jpg
3367-3113-how-intel-is-using-ai.png
3368-3102-how-johnson-and-johnson-is-using-ai.png
3369-3106-how-boeing-is-using-ai.png
3370-3111-how-proctor-and-gamble-uses-ai.png
3371-apple.jpg

and many others!

OUR LATEST RESOURCES
  •
OUR LATEST ARTICLES

DevFest West Coast 2020

Watch videos of some of the world's top AI experts discuss everything from Tensorflow Extended to Kubernetes to AutoML to Coral.

Video: Machine Learning Engineering with Tensorflow Extended

In this talk, Hannes is providing insights into Machine Learning Engineering with TensorFlow Extended (TFX). He introduces how TFX for machine learning pipeline tasks and how to orchestrate entire ML pipelines with TFX. The audience learns how to run ML production pipelines with Kubeflow Pipelines, and therefore, free the data scientist's time from maintaining production machine learning models.

Video: How to Build a Reproducible ML Pipeline

Solving a data science problem usually requires multiple steps. These steps can include extracting and transforming data, training a model, and deploying the model into production. In this session, we'll discuss how to specify those steps with Python into an ML pipeline. We'll show how to create a Kubeflow Pipeline, a component of the Kubeflow open-source project. The audience will learn about how to integrate TensorFlow Extended components into the pipeline, and how to deploy the pipeline to the hosted Cloud AI Pipelines environment on Google Cloud. The key takeaway is how to improve reuse and reproducibility of the machine learning process.

LOAD MORE

OUR HEADQUARTERS
Headquartered in the heart of Portland, Oregon, our satellite offices span North America, Europe, the Middle East, and Africa.

(503) 922-1164

Our address is
US Custom House
220 NW 8th Ave
Portland, OR 97209

Copyright © 2019 Manceps