putting-machine-learning-models-into-production 
CIO
MARCH 29, 2024
That’s why Rocket Mortgage has been a vigorous implementor of machine learning and AI technologies — and why CIO Brian Woodring emphasizes a “human in the loop” AI strategy that will not be pinned down to any one generative AI model. The rest are on premises.
CIO
APRIL 9, 2024
Previously head of cybersecurity at Ingersoll-Rand, Melby started developing neural networks and machine learning models more than a decade ago. I was literally just waiting for commercial availability [of LLMs] but [services] like Azure Machine Learning made it so you could easily apply it to your data.
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CIO
JANUARY 24, 2024
Generative AI and large language models (LLMs) like ChatGPT are only one aspect of AI. In many ways, ChatGPT put AI in the spotlight, creating a widespread awareness of AI as a whole—and helping to spur the pace of its adoption. It’s the culmination of a decade of work on deep learning AI. AI encompasses many things.
CIO
APRIL 12, 2023
Real-time AI brings together streaming data and machine learning algorithms to make fast and automated decisions; examples include recommendations, fraud detection, security monitoring, and chatbots. How is data, process, and model drift managed for reliability? It isn’t easy.
Advertiser: Data Robot
As machine learning models are put into production and used to make critical business decisions, the primary challenge becomes operation and management of multiple models.
TechCrunch
MAY 27, 2022
Before Eric Landau co-founded Encord , he spent nearly a decade at DRW, where he was lead quantitative researcher on a global equity delta one desk and put thousands of models into production. Below are four factors that founders should consider when deciding to build computer vision models. He holds an S.M.
CIO
FEBRUARY 14, 2023
To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making. Ever wonder why an internet search for a product reveals similar prices across competitors, or why surge pricing occurs?
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