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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. Gopalkrishnan says.

Banking 103
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Hugging Face collaborates with Microsoft for new AI-powered Azure service

TechCrunch

Fresh off a $100 million funding round , Hugging Face, which provides hosted AI services and a community-driven portal for AI tools and data sets, today announced a new product in collaboration with Microsoft. ” “The mission of Hugging Face is to democratize good machine learning,” Delangue said in a press release.

Azure 246
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Cellino is using AI and machine learning to scale production of stem cell therapies

TechCrunch

But today, such cell therapies are out of reach for most people because the process of cell production hasn’t been automated or made scalable and efficient. — could eventually democratize access to cell therapies. It aims to bring down costs associated with the manufacturing of human cells, while also increasing yields.

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

CIO

Financial technology and services company Fidelity National Information Services (FIS) uses the low code WaveMaker to develop the user interfaces for the customer-facing applications it builds for its bank customers, using APIs to connect those applications to the customer’s or FIS’ back-end systems.

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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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How To Determine The Need For Custom Software For Your Organization?

Sunflower Lab

Moreover, the solutions currently available range from commercial off-the-shelf (COTS) to custom made software. Organizations opting to digitize their processes initially prefer the readily available and off-the-shelf solutions as they cost less and are easy to use. The answer is a big No. . Cost-effective in long term.

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CloudBank’s Journey from Mainframe to Streaming with Confluent Cloud

Confluent

This case study is based off real, concrete war stories, and will detail how Confluent Cloud was a key enabler for their digital strategy, unfolding new ways to capitalize on their product and differentiate their business, by leveraging the power of Apache Kafka and the cloud at the same time. Cloud is one of the key drivers for innovation.

Cloud 88