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Maintaining and Improving Predictive Models With Dataiku

Dataiku

Managing one model at a time is pretty easy. But how do you go about managing tens of models, or even more? Vincent Gallmann, Senior Data Scientist at French bank FLOA , answered this question in a 2021 Product Days Session on managing data science projects with Dataiku.

Banking 115
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The impact of AI on edge computing

CIO

By processing data at or near the point of creation, edge computing reduces latency, improves real-time responsiveness, and minimizes the need for data transmission to centralized cloud servers. This optimization improves efficiency and reduces costs. Predictive maintenance. over 2023 2. Security and privacy. Personalization.

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12 most popular AI use cases in the enterprise today

CIO

Following is our analysis of the 12 most popular ways AI is being used across all industries in the enterprise today, as companies seek to capitalize on artificial intelligence’s promise to improve customer service, cut business costs, and supercharge business processes.

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AI adoption accelerates as enterprise PoCs show productivity gains

CIO

Some prospective projects require custom development using large language models (LLMs), but others simply require flipping a switch to turn on new AI capabilities in enterprise software. “AI We want to maintain discipline and go deep.” On-time delivery has improved substantially,” she says.

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Continual raises $4M for its AI-powered data platform

TechCrunch

For Continual, that means providing businesses with an accessible tool for building predictive models. “[Continual] allows modern data teams to build and maintain continually improving models directly on top of their data warehouse,” explained Continual CEO and co-founder Tristan Zajonc.

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Gaining an AI advantage: Not all AIs are created equal

CIO

An AI solution that excels in scalability ensures that it can effortlessly expand to meet the global organization’s requirements, maintaining pace with the surge in data traffic and morphing attack strategies across diverse regions. 60% improved accuracy in detecting sophisticated exploit frameworks.

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Generative AI’s potential as a force multiplier in defense

CIO

That’s why, around the world, governments and the defense industry as a whole are now investing and exploring generative artificial intelligence (AI), or large language models (LLMs), to better understand what’s possible. This can be used to predict potential terrorist attacks and insurgent activities and then recommend preemptive actions.