Follow Datanami:

Tag: MLOps

DataRobot Introduces Expanded AI Cloud Capabilities and Tools

At its AIX 2022 conference this week, DataRobot announced new products and enhancements for its AI Cloud platform for data scientists, business users, MLOps, and DevOps. DataRobot says its AI Cloud can centralize the Read more…

Galileo Emerges from Stealth with Collaborative MLOps Platform

There’s a new player in the hot MLOps market: Galileo. Founded by Google and Uber AI alumni, the company emerged from stealth this week with $5.1 million in seed funding. Galileo is an intelligence platform for unst Read more…

Birds Aren’t Real. And Neither Is MLOps

Are birds real? A group of 20-somethings tried to convince us they weren’t in the past few years, to varying degrees of success. And now a University of Washington professor wants us to believe that MLOps isn’t real, Read more…

MLOps Pays Dividends for New York Life

Machine learning has the potential to generate millions of dollars in savings and revenue growth for organizations. Nobody in the data business doubts that anymore. But unless ML models are actually put into production, Read more…

Hallmarks of AI Success in the Enterprise

We’re in the midst of a rapid uptake of AI in the enterprise across the board, but there are big differences in the results and the workflows in these AI practices. For its latest “State of AI in the Enterprise” re Read more…

ML Needs Separate Dev and Ops Teams, Datatron Says

In the machine learning world, the folks developing models often are the same folks who are tasked with running the models in production. And they often use the same end-to-end ML software stacks. But emerging best pract Read more…

Google Cloud Overhauls AI with Vertex Launch

Google Cloud today unveiled Vertex AI, a fundamental redesign of its automated machine learning stack. In addition to integrating the individual components of the stack more closely together, Vertex AI also introduces ne Read more…

DataRobot Refreshes AI Platform, Nabs Zepl

DataRobot unveiled several enhancements in its automated machine learning platform today, including the introduction of features like composable ML and continuous AI. The company, which is holding a virtual conference to Read more…

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

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 Read more…

Algorithmia Adds Data Governance Tools

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 ou Read more…

AI Infrastructure Gets a Stack

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 mac Read more…

ML Deployment Woes Persist

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

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 anno Read more…

The Maturation of Data Science

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 Read more…

Algorithmia, Datadog Team on MLOps

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 la Read more…

Intel Buys Another AI Startup

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 t Read more…

A ‘Breakout Year’ for ModelOps, Forrester Says

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 organization Read more…

Google Joins the MLOps Crusade

Machine learning developers face an expanded set of management issues beyond merely getting the code right, including the testing and validation of data used in ML models while handling an additional set of infrastructur Read more…

MLOps Vendor dotData Boosts Automation with Containers

As data science platforms expand across enterprise applications like predictive analytics, automated machine learning vendors are steadily integrating AI models with emerging infrastructure to ease deployment and orchest Read more…

Growing Focus on MLOps as AI Projects Stall

As a growing percentage of enterprise AI projects stall, data science platform vendors are teaming with cloud and data management specialists to move AI projects from the model-building stage to production workloads. Read more…

Older Entries
Datanami