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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11 September 2020
4 min read
A machine learning framework is an interface that allows developers to build and deploy machine learning models faster and easier. A tool like this allows enterprises to scale their machine learning efforts securely while maintaining a healthy ML lifecycle.
11 September 2020
4 min read
Just like any software, it’s important to keep machine learning models secure during development and production stages. Learn more from Algorithmia.
11 September 2020
6 min read
Model governance is the overall framework for how an organization controls their model development and deployment workflow. This includes setting the rules and controls for machine learning models in production, such as access control, testing, validation, and the tracing of model results.
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
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...