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AI adoption in the enterprise 2020

O'Reilly on Data

The update sheds light on what AI adoption looks like in the enterprise— hint: deployments are shifting from prototype to production—the popularity of specific techniques and tools, the challenges experienced by adopters, and so on. Supervised learning is dominant, deep learning continues to rise.

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Becoming a machine learning company means investing in foundational technologies

O'Reilly on Data

I will highlight the results of a recent survey on machine learning adoption, and along the way describe recent trends in data and machine learning (ML) within companies. This is a good time to assess enterprise activities, as there are many indications a number of companies are already beginning to use machine learning.

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The quest for high-quality data

O'Reilly on Data

The problem is even more magnified in the case of structured enterprise data. Even with the rise of open source tools for large-scale ingestion, messaging, queuing, and stream processing, siloed data and data sets trapped behind the bars of various business units is the normal state of affairs in any large enterprise. Data programming.

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Generative AI – Chapter 1, Page 1

Rocket-Powered Data Science

It is merely a very large statistical model that provides the most likely sequence of words in response to a prompt. That scenario is being played out again with ChatGPT and prompt engineering, but now our queries are aimed at a much more language-based, AI-powered, statistically rich application. Guess what? It isn’t.

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Beyond the hype: Do you really need an LLM for your data?

CIO Business Intelligence

Think about it: LLMs like GPT-3 are incredibly complex deep learning models trained on massive datasets. Even basic predictive modeling can be done with lightweight machine learning in Python or R. In life sciences, simple statistical software can analyze patient data. Theyre impressive, no doubt. You get the picture.

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Generative AI use cases for the enterprise

IBM Big Data Hub

Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.” Generative AI uses advanced machine learning algorithms and techniques to analyze patterns and build statistical models.

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8 Modeling Tools to Build Complex Algorithms

Domino Data Lab

For a model-driven enterprise, having access to the appropriate tools can mean the difference between operating at a loss with a string of late projects lingering ahead of you or exceeding productivity and profitability forecasts. Before selecting a tool, you should first know your end goal – machine learning or deep learning.

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