Follow Datanami:

Tag: ModelOps

A ‘Glut’ of Innovation Spotted in Data Science and ML Platforms

Mar 22, 2021 |

These are heady days in data science and machine learning (DSML) according to Gartner, which identified a “glut” of innovation occurring in the market for DSML platforms. From established companies chasing AutoML or model governance to startups focusing on MLops or explainable AI, a plethora of vendors are simultaneously moving in all directions with their products as they seek to differentiate themselves amid a very diverse audience. Read more…

The Maturation of Data Science

Nov 25, 2020 |

Data science used to be somewhat of a mystery, more of a dark art than a repeatable, scientific process. Companies basically entrusted powerful priests called data scientists to build magical algorithms that used data to make predictions, usually to boost profits or improve customer happiness. Read more…

Algorithmia, Datadog Team on MLOps

Nov 5, 2020 |

Tools continue to be introduced to allow machine learning developers to monitor model and application performance as well as anomalies like model and data drift—a trend one market tracker dubs “ModelOps.”

The latest comes from Algorithmia, which this week launched an enterprise platform for monitoring machine learning model performance. Read more…

A ‘Breakout Year’ for ModelOps, Forrester Says

Sep 11, 2020 |

The rapid maturation of machine learning operations (ModelOps) tools is leading to a “breakout year” for ModelOps, Forrester says in a recent report.

The ML lifecycle is a potential nightmare for many organizations, write Forrester analysts Mike Gualtieri and Kjell Carlsson in an August report, titled “Introducing ModelOps to Operationalize AI.”

“This process takes too long and is fraught with technical and business challenges, just with one model,” the analysts write. Read more…

Operationalizing Analytics: Conquering the Last Mile

Nov 26, 2019 |

Per research from McKinsey, only 8% of companies successfully scale analytics. To improve this abysmal rate, organizations must conquer what’s been called the last mile of analytics. Read more…

Datanami