MLOps, or DevOps for machine learning, is bringing the best practices of software development to data science. You know the saying, “Give a man a fish, and you’ll feed him for a day… Integrate machine ...

For most professional software developers, using application lifecycle management (ALM) is a given. Data scientists, many of whom do not have a software development background, often have not used ...

Forbes contributors publish independent expert analyses and insights. Mark Minevich is a NY-based strategist focused on human centric AI. Machine Learning Operations (MLOps) is on the rise as a ...

Once machine learning models make it to production, they still need updates and monitoring for drift. A team to manage ML operations makes good business sense As hard as it is for data scientists to ...

Anyone who runs a business knows that one of the hardest things to do is accuse a customer of malfeasance. That’s why, before members of Scandinavian Airlines’ (SAS) fraud detection unit accuse a ...

LONDON & SAN FRANCISCO--(BUSINESS WIRE)--Delivering on its vision that ML engineering should be just as easy, fast and safe as modern software engineering when using DevOps techniques, Dotscience, the ...

Microsoft Office 365: How these Azure machine-learning services will make you more productive and efficient Your email has been sent Office can now suggest better phrases in Word or entire replies in ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

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