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Tag: MLOps

How To Know If MLOps Is Worth The Cost For Your Problem

Enterprise data intake is growing exponentially, and leaders are looking toward any automated solutions to prevent disarray and arm themselves for the future. Machine learning (ML) will unlock the potential of collected Read more…

ClearML Announces General Availability for Enterprise

ClearML, a unified MLOps platform, has announced the general availability of ClearML for enterprise customers. The platform was previously offered as invite-only to a select group of customers but is now broadly avail Read more…

MLOps Startup Diveplane Raises $25M Series A

Diveplane, an MLOps startup based in Raleigh, N.C., has announced it raised $25 million in Series A funding. The company produces a suite of enterprise AI products that it says are designed around the principles of pr Read more…

LinkedIn Donates Feature Store to Linux Foundation

LinkedIn today announced that its open source feature store, dubbed Feathr, is joining LF AI & Data, the Linux Foundation’s umbrella foundation for big data and AI projects. Feathr was originally developed at Li Read more…

How DataOps Strengthens Business Resilience and Agility

Agility is critical for any business looking to grow and remain relevant in today’s complicated industry landscape. Being able to quickly respond and reliably deliver actionable insights is vital for businesses — esp Read more…

Why DataOps-Centered Engineering is the Future of Data

DataOps will soon become integral to data engineering, influencing the future of data. Many organizations today still struggle to harness data and analytics to gain actionable insights. By centering DataOps in their proc Read more…

Teradata Unveils New Data Lake, Advanced Analytics Offerings

Teradata today rolled out a pair of new products designed to broaden its appeal to a new generation of users, including a new data lake called VantageCloud Lake that melds the workload management capabilities of its epon Read more…

5 Steps to Achieve MLOps at Scale

A computer program beating the world champion of the game of Go? No way, right? Wrong. AlphaGo[1] machine learning (ML) and artificial intelligence (AI) technology beat the world champ. Five years later, AlphaFold is us Read more…

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…

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