Viso.ai

APRIL 4, 2024

Two of the most important concepts underlying this area of study are concept drift vs data drift. In most cases, this necessitates updating the model to account for this “model drift” to preserve accuracy. It works against the assumption of stationary data distributions underlying most predictive models.

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ODSC - Open Data Science

JANUARY 24, 2023

Recently, we spoke with Josh Tobin, CEO & Founder of Gantry, about the concept of continual learning and how allowing models to learn & evolve with a continuous flow of data while retaining previously-learned knowledge can allow models to adapt and scale. What is continual learning?

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Towards AI

NOVEMBER 4, 2024

Last Updated on November 4, 2024 by Editorial Team Author(s): David Sweenor Originally published on Towards AI. Sweenor As artificial intelligence (AI) becomes ubiquitous, it’s reshaping decision-making in ways that go far beyond the scope of traditional business automation. What makes AI governance different from data governance?

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Unite.AI

JULY 25, 2023

Production-deployed AI models need a robust and continuous performance evaluation mechanism. This is where an AI feedback loop can be applied to ensure consistent model performance. But, with the meteoric rise of Generative AI , AI model training has become anomalous and error-prone. What is an AI Feedback Loop?

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DataRobot Blog

MARCH 31, 2022

Over the past several years, AI has gone from obscurity to headline news but not always for the right reasons. While AI systems have matured from science experiments to vital business-as-usual tools, not every AI project lives up to the hype. The current generation of AI, called narrow AI, is based upon pattern recognition.

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DataRobot Blog

FEBRUARY 9, 2022

When your employer adopts AI solutions , your work may be simplified in the long run, but implementing the new technologies may require some initial effort. This approach gives freedom to move its AI artifacts around, regardless of whether they are hosted on a major cloud platform or its own on-premise infrastructure. Download Now.

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Unite.AI

JUNE 13, 2023

Machado is a Fellow in Residence at the Alberta Machine Intelligence Institute (Amii), an adjunct professor at the University of Alberta, and an Amii fellow, where he also holds a Canada CIFAR AI Chair. Marlos’s research mostly focuses on the problem of reinforcement learning. It feels that it's how we learn as humans, in a sense.

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