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Tag: ModelOps

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…

TIBCO’s ModelOps Takes AI Models Out of the Lab and Onto on the Road

Data management firm TIBCO has unveiled its new TIBCO ModelOps platform designed to enable faster deployment of AI models at scale. The Palo Alto-based company cited a 2021 survey from NewVantage Partners that showed 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…

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…

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…

Operationalizing Analytics: Conquering the Last Mile

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. For those who can, the payoff is tr Read more…

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