optimize-ai-at-scale-with-platform-engineering-for-mlops 
DataKitchen
APRIL 13, 2021
We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . 100% of your DataOps needs in one end-to-end platform. Download the 2021 DataOps Vendor Landscape here.
CIO Business Intelligence
MAY 26, 2022
As a result, it can take more than nine months on average to deploy an AI or ML solution, according to IDC data. “We This is where MLOps comes in. MLOps brings model velocity down to weeks — sometimes days,” says Subramanian. The evolution of MLOps. Without MLOps we would not have been able to ensure that,” he says.
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CIO Business Intelligence
MAY 28, 2022
As a result, it can take more than nine months on average to deploy an AI or ML solution, according to IDC data. “We This is where MLOps comes in. MLOps brings model velocity down to weeks — sometimes days,” says Subramanian. The evolution of MLOps. Without MLOps we would not have been able to ensure that,” he says.
CIO Business Intelligence
MAY 30, 2024
ChatGPT was a watershed moment in the evolution and adoption of AI. Others have seen gen AI as an opportunity to advance their AI projects with uniquely constructed technology. This is the case of Alpitour World, one of Italy’s largest travel companies, where gen AI projects have merged with preexisting uses of AI.
CIO Business Intelligence
APRIL 25, 2022
According to IDC , 85% of the world’s largest organizations will be using artificial intelligence (AI) — including machine learning (ML), natural language processing (NLP) and pattern recognition — by 2026. IDC’s numbers look even worse, with only 31% of enterprises surveyed saying that they have AI functioning in production.
CIO Business Intelligence
NOVEMBER 7, 2022
CIOs seeking big wins in high business-impacting areas where there’s significant room to improve performance should review their data science, machine learning (ML), and AI projects. That same study found 94% of respondents say AI is critical to success over the next five years. Are data science teams set up for success?
DataRobot
JULY 27, 2021
In a global marketplace where decision-making needs to happen with increasing velocity, data science teams often need not only to speed up their modeling deployment but also do it at scale across their entire enterprise. At DataRobot, we understand that the ability to move quickly is an essential component of any AI project.
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