Algorithmia platform

Algorithmia makes machine learning accessible to everybody. Our platform deploys, serves, and manages machine learning workflows so your data science efforts can see the light of day.

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3 September 2020
2 min read
Introducing the first Kisaco Leadership Chart on machine learning lifecycle solutions. Algorithmia participated in this rigorous independent analyst review of six machine learning lifecycle enterprise solutions and was recognized as Market Leader. “Artificial intelligence (AI) is out of the laboratory...
2 September 2020
11 min read
XGBoost is a popular library among machine learning practitioners, known for its high performance and memory efficient implementation of gradient boosted decision trees. Since training and evaluating machine learning models on Jupyter notebooks is also a popular practice, we’ve developed a step-by-step...
28 August 2020
4 min read
We’re excited to announce a new SaaS offering called Algorithmia Teams, a machine learning operations (MLOps) platform for data science and machine learning teams looking to deploy, operate, and connect ML to business value. Machine learning is a new concept for many companies that promises to bring...
25 August 2020
4 min read
Press release | Algorithmia launches Teams edition to help companies get machine learning applications into production faster and more cost effectively.
1 July 2020
3 min read
Today we are excited to showcase several new features and upgrades to the Algorithmia Enterprise platform, most notably around management and governance of machine learning systems. Repost of Aithority press release: Algorithmia, a leader in ML Operations & Management, announces a series of upgrades...
18 June 2020
6 min read
On 9 June 2020, Algorithmia CTO, Kenny Daniel, co-hosted a webinar with Sam Charrington of TWIML on building internally versus buying an existing machine learning operations platform. The webinar recording can be accessed here. The discussion generated a lot of questions, and Kenny, Sam, and other Algorithmia...
28 May 2020
3 min read
At Algorithmia, we have learned how enterprise machine learning is developing across industries, and we are most interested in the challenges that hinder organizations from extracting ML value. In late 2019, we published data on the main challenges, which we consolidated in a report called the “2020...
20 May 2020
3 min read
In the last 12 months, there have been myriad developments in machine learning (ML) tools and applications, yet many companies are still struggling to see tangible business results from AI models in production. Deploying AI/ML solutions isn’t easy, but Algorithmia and Appen make it simple to tackle...
21 April 2020
5 min read
In February we announced our support of GitHub as a repository storage system for any algorithm on Algorithmia. This is big news and it unlocks a lot of potential for developers. In this post, we’ll show you how integrating with GitHub can enable new workflows and automation systems that can magnify...
13 March 2020
3 min read
Here at Algorithmia, we have written and talked extensively about the challenges of deploying machine learning models at scale and the importance of data access in general machine learning development and infrastructure. When it comes down to it, ML is critical for any modern company to remain competitive.  Machine...