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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...
22 June 2020
4 min read
Today, mass amounts of data come from a myriad of applications and microservices. DevOps engineers are often tasked with ensuring that data is collected, retained, and secured in a way that follows strict regulations. Focusing on data security, many companies rely on VMware for various internal cloud-computing...
2 June 2020
3 min read
As your company begins to proof out machine learning use cases and develop models, your ML teams need to be thinking long-term. How will you deploy, operate, and manage your models once you have them? Making AI–minded decisions like this starts with this question: should I build or buy a machine learning...
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...
17 March 2020
2 min read
As a Seattle-based company, it feels like we’ve been hearing and talking about the Coronavirus (COVID-19) for a while now. And one thing is very clear, it is not going away quickly and will continue to impact individuals, families, communities, and businesses.  We are very mindful that this is a time...
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...
20 February 2020
5 min read
As a data scientist or machine learning engineer, your specialty is building out robust machine learning models. Your purpose is to make a positive impact on your business by offering data insights, reducing costs, increasing revenue, or even generating customer delight. As your collection of models...
22 November 2019
5 min read
Recently, Algorithmia ventured from Seattle to London to discover what was happening at the Big Data London (BDL) conference in Kensington. We had great conversations with data engineers, data analysts, and business leaders about how Algorithmia makes it easy to deploy machine learning models into production....
19 November 2019
5 min read
Every year, millions of dollars are wasted planning, cleaning, and training machine learning (ML) models that will never get to production. This means that more than half of data science projects are not fully deployed—and some never will be, resulting in zero generated revenue. When organizations...
30 September 2019
2 min read
TensorFlow 2.0 shipped today, 30 September 2019, with new features, such as faster debugging and iteration with Eager Execution, a TensorFlow-enhanced implementation of the Keras API, and simplification and compatibility improvements across its APIs. TensorFlow 2.0 is a major upgrade that should increase...