Remove products kubernetes-engine
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Deploying ML Models Using Kubernetes

Analytics Vidhya

Introduction A Machine Learning solution to an unambiguously defined business problem is developed by a Data Scientist ot ML Engineer. The Model development process undergoes multiple iterations and finally, a model which has acceptable performance metrics on test data is taken to the production […].

Modeling 334
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Why Best-of-Breed is a Better Choice than All-in-One Platforms for Data Science

O'Reilly on Data

That is, products that are laser-focused on one aspect of the data science and machine learning workflows, in contrast to all-in-one platforms that attempt to solve the entire space of data workflows. However some assembly is required because they need to be used alongside other products to create full solutions. A little of both?

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Perspectives on how cloud computing & app development trends will take shape in 2023

CIO Business Intelligence

Tanzu Vanguards, which includes leaders, engineers, and developers from DATEV, Dell, GAIG, and TeraSky, provided their perspectives on analyst predictions and industry data that point to larger trends impacting cloud computing, application development, and technology decisions.

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Nvidia AI Enterprise adds generative AI microservices

CIO Business Intelligence

They’re split into two main categories — Nvidia NIM, which covers microservices related to deploying production AI models, and CUDA-X, for microservices like cuOpt, the company’s optimization engine.

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Unlocking the Power of AI with a Real-Time Data Strategy

CIO Business Intelligence

Here are some examples: Fraud It’s critical to identify bad actors using high-quality AI models and data Product recommendations It’s important to stay competitive in today’s ever-expanding online ecosystem with excellent product recommendations and aggressive, responsive pricing against competitors. That’s not to say it’ll be easy.

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The future of application delivery starts with modernization

IBM Big Data Hub

How quickly can features be introduced into the market (from concept to production) and beat the competition? Value delivery and reduced business cost Decreasing production costs helps drive agility by realigning with new business goals sooner. How can you pivot efficiently in response to the changing market conditions?

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How to get started with AI to speed software delivery

CIO Business Intelligence

At VMware, for example, we’re conducting internal AI experiments with various departments such as engineering, marketing, and customer success to assess the impact of generative AI on our operations. Specifically, we’re looking at whether AI will make employees more productive or satisfied in their jobs.

Software 130