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Manceps

OUR LATEST ARTICLES

Ask the CEO: What Does Manceps Mean?

Ask the CEO: What Does Manceps Mean?

Interviewer: How does Manceps fit in? What does Manceps even mean and what do you do?

Mr. Kari: Maceps is actually Latin for customers. It represents our focus and commitment to our customers. And we are a research and engineering company headquartered in Portland, Oregon. We work specifically on the AI/machine learning space. We help develop solutions and scale those solutions out for our customers. And we take AI to the next level. We not only take data and help drive insights from it, but we also help take that data and serve it in a scale-out fashion to customers all around the world.

Interviewer: So for companies that might be interested in what you're doing, how they get a hold of you or find out more?

Mr. Kari: Well, we are headquartered in Portland, like I said, but we work across the country and the United States and North America, and we are starting to operate globally. We can be reached at Manceps.ai and there is a lot of details there on how to engage.

And we look forward to working with you. We really look forward to hearing what problems our customers have and what issues we could solve for them. We have a significant, significantly brilliant team of data scientists and machine learn engineers that are hungry to solve problems and are really excited about all these applications that are on the way that we can help serve.

15.11.2019

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Our Most Recent Articles

DevFest West Coast 2020

DevFest West Coast 2020

Video: Machine Learning Engineering with Tensorflow Extended

Video: Machine Learning Engineering with Tensorflow Extended

Video: How to Build a Reproducible ML Pipeline

Video: How to Build a Reproducible ML Pipeline

Video: ML adventures with AutoML and TFHub

Video: ML adventures with AutoML and TFHub

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50 AI Secrets: How Every Fortune 50 Company is Using AI Right Now

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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.

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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