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Tag: model deployment

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…

DeepCube Unveils Deep Learning Suite

DeepCube is launching a new suite of products and services, including a software-based deep learning accelerator which runs on a range of current and next-generation hardware. The suite targets neural network training 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…

More Tools Emerge for AI Deployment

As data scientists confront operational challenges that are slowing the transition of machine learning models to production, more vendors are stepping up with possible solutions for breaking up the logjam. The latest Read more…

ML Deployments Slowed by IT, Resource Issues

The bigger the company, the more likely its success in deploying machine learning models, according to a new survey that also found customer loyalty programs and cost-saving initiatives are the most popular enterprise us Read more…

Data Platform Speeds Model Deployment

Data science platform startup Domino Data Lab, which launched its first product in 2014, rolled out its first upgrade this week designed to speed the deployment of predictive and other models along with the addition of a Read more…

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