Machine Learning Off-The-Shelf Scalability 
Erik Bernhardsson
APRIL 21, 2015
There’s a bunch of companies working on machine learning as a service. Instead of the negative let’s go through the ways I think a machine learning API can actually be useful (ok full disclosure: I don’t think it’s very many). Focusing on a particular niche makes it easier to build something that works off the shelf.
Erik Bernhardsson
APRIL 21, 2015
There’s a bunch of companies working on machine learning as a service. Instead of the negative let’s go through the ways I think a machine learning API can actually be useful (ok full disclosure: I don’t think it’s very many). Focusing on a particular niche makes it easier to build something that works off the shelf.
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TechCrunch
OCTOBER 6, 2022
The proceeds bring the company’s total raised to $17 million, which CEO Sankalp Arora says is being put toward expanding Gather’s deployment capacity and go-to-market plans as well as hiring new machine learning engineers. So does Pensa Systems, Vimaan, Intelligent Flying Machines , Vtrus and Verity.
CIO
JANUARY 4, 2023
In 2017, Fast Company wrote that Southwest Airlines’ digital transformation “takes off” with an $800 million technology overhaul, but only $300 million was dedicated to new technology for operations. While weather may have been the root cause, the 16,000 flights canceled between Dec. 19-28 far exceeded any other airlines’ operational impacts.
O'Reilly Media - Data
MARCH 22, 2018
Over the years, machine learning (ML) has come a long way, from its existence as experimental research in a purely academic setting to wide industry adoption as a means for automating solutions to real-world problems. There is also a trade off in balancing a model’s interpretability and its performance.
Bernd Rucker
DECEMBER 21, 2021
In this case, the decision is not too hard: as thousands of companies have the exact same requirements you have, you can simply buy a standard HR software or leverage an off-the-shelf cloud service around payroll. As a first project, you need to automate the payroll run, which is a manual and tedious process at your company currently.
Netflix Tech
DECEMBER 3, 2019
About two years ago, we, at our newly formed Machine Learning Infrastructure team started asking our data scientists a question: “What is the hardest thing for you as a data scientist at Netflix?” Our job as a Machine Learning Infrastructure team would therefore not be mainly about enabling new technical feats.
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