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Tag: MLOps

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…

Algorithmia Adds Data Governance Tools

Mar 4, 2021 |

Data governance and a growing list of compliance rules remain key considerations for managing machine learning models in production. Vendors are responding to the growing risks with compliance frameworks as they flesh out their enterprise offerings. Read more…

AI Infrastructure Gets a Stack

Feb 25, 2021 |

In an effort to create a standard set of tools that would help data science teams collaborate on AI development, an infrastructure initiative launched this week will promote a unified stack for developing and scaling machine learning models. Read more…

ML Deployment Woes Persist

Dec 10, 2020 |

Despite greater spending on staffing and use cases, investors in machine learning have so far reaped few returns as they struggle with life cycle issues related to data governance, security and auditing requirements. Read more…

DataRobot, Snowflake Expand AI Collaboration

Dec 9, 2020 |

DataRobot announced more late-round investments this week along with an expanded partnership with big data leader Snowflake Inc. that would extend the reach of its enterprise AI platform.

A Series F funding round announced last month and led by Altimeter Capital raised $270 million. 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…

Intel Buys Another AI Startup

Nov 4, 2020 |

Intel Corp. has quietly acquired another AI platform developer, Israeli-based Cnvrg.io.

The acquisition, confirmed by Intel late Tuesday (Nov. 3) to the web site TechCrunch.com, is the latest in a flurry of deals by the chip maker (NASDAQ: 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…

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