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Bank of America’s big bet on AI started small

CIO

Bank of America will invest $4 billion in AI and related technology innovations this year, but the financial services giants 7-year-old homemade AI agent, Erica, remains a key ROI generator , linchpin for customer and employee experience , and source of great pride today. We are not writing essays with Erica. We are not trying to write software.

Banking 168
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Low code/no code tools reap IT benefits—with caveats

CIO

Fidelity National Information Services And among low-code tools, for instance, FIS chose WaveMaker because its components seemed more scalable than its competitors, and its per-developer licensing model was less expensive than the per runtime model of other tools. So there’s a lot in the plus column, but there are reasons to be cautious, too.

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New Zealand-based Imagr thinks camera-based AI is the future of shopping trolleys

TechCrunch

But unlike Amazon Go stores, which use cameras and sensors to monitor the shopper as they walk in and out without scanning or paying at checkout, this New Zealand-based company thinks the only images that should be captured and analyzed are those of products going into a shopping cart. Chomley says Imagr has raised a total of $12.5

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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.

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8 Digital Healthcare Trends For 2025

Perficient

Strict regulations around HIPAA, PHI, and PII create significant barriers, making it difficult to adopt off-the-shelf AI solutions from fields like commerce or digital experience. Healthcare Trend #1: AI Disruption and Enablement Healthcare has seen a surge of interest in AI, with the market set to soar to $187.95 billion by 2030.

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Getting Your IoT Projects Off The Ground By Building On Azure

Xebia

When the prototype became a success, it was put into production instead of turning it into a scalable solution first. With the popularity of the Internet of Things, new proof of concepts and prototypes are starting everywhere. Now, some projects go nowhere, with others end up being very successful.

IoT 130
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Nvidia points to the future of AI hardware

CIO

So, pre-trained models and run-time models made off-the-shelf for IT folks to buy and maybe tune a little bit, will be necessary for AI to scale across enterprises and across the internet.” They basically have a comprehensive solution from the chip all the way to data centers at this point,” he says.

Hardware 147