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‘Just-in-time’ AI: Has its moment arrived?

CIO

TIAA has launched a generative AI implementation, internally referred to as “Research Buddy,” that pulls together relevant facts and insights from publicly available documents for Nuveen, TIAA’s asset management arm, on an as-needed basis. The timeliness is critical. The expense of gen AI processing is at least as important.

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Off the Shelf vs Custom Software: Making the Right Choice for Your Business

Trigent

Here’s all that you need to make an informed choice on off the shelf vs custom software. While doing so, they have two choices – to buy a ready-made off-the-shelf solution created for the mass market or get a custom software designed and developed to serve their specific needs and requirements.

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Predibase exits stealth with a low-code platform for building AI models

TechCrunch

-based companies, 44% said that they’ve not hired enough, were too siloed off to be effective and haven’t been given clear roles. Or they can choose to use a blackbox off-the-shelf ‘AutoML’ solution that simplifies their problem at the expense of flexibility and control.”

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Giving more tools to software engineers: the reorganization of the factory

Erik Bernhardsson

Note: I'm going to use the term “tool” throughout this post to refer to all kinds of things: frameworks, libraries, development processes, infrastructure.). Note: I'm going to use the term “tool” throughout this post to refer to all kinds of things: frameworks, libraries, development processes, infrastructure.).

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Five generative AI tips for every business leader

CIO

However, end-to-end in-house development might not be economically sensible if existing or off-the-shelf tools can perform similar functionalities. Generative AI gives organizations the unique ability to glean fresh insights from existing data and produce results that go beyond the original input. Build or Buy?

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Unlocking generative AI’s greatest growth opportunities

CIO

While off-the-shelf generative AI technology from the likes of OpenAI, Google, Amazon, and others is incredibly powerful, the key to successful commercial generative AI initiatives is having authoritative, comprehensive reference data to train the system for a specific use case.

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Interpreting predictive models with Skater: Unboxing model opacity

O'Reilly Media - Data

There is also a trade off in balancing a model’s interpretability and its performance. A deep dive into model interpretation as a theoretical concept and a high-level overview of Skater. There is often a need to verify the reasoning of such ML systems to hold algorithms accountable for the decisions predicted.