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The Cake is NOT a Lie: 5 Java Frameworks to Support Your Microservices Architecture

OverOps

For teams dealing with loads of technical debt, microservices offer a path to the promised land. Smaller code bases are easier to understand, and with clearly separated services the overall architecture is much “cleaner”. They promise to bring greater flexibility and easier scalability. That doesn’t mean it will be easy though.

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NLP helps Eli Lilly work at a global scale

CIO

To address these challenges, the pharmaceutical firm developed Lilly Translate, a home-grown IT solution that uses natural language processing (NLP) and deep learning to generate content translation via a validated API layer, Coleman says. The product was developed via a DevSecOps agile framework,” Coleman says.

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Why Companies Are Moving Their Analytics to AWS Cloud

Datavail

The advantages of moving analytics to AWS Cloud include: Lower IT costs: Cloud migrations save businesses the costs of on-premises hardware, software licenses, and ongoing support and maintenance. The AWS Auto Scaling feature lets you define rules to automatically adjust your capacity, so the system never goes down due to heavy demand.

AWS 98
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Vitech uses Amazon Bedrock to revolutionize information access with AI-powered chatbot

AWS Machine Learning - AI

Vitech is a global provider of cloud-centered benefit and investment administration software. With Bedrock’s serverless experience, one can get started quickly, privately customize FMs with their own data, and easily integrate and deploy them into applications using the AWS tools without having to manage any infrastructure.

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Unleashing the power of generative AI: Verisk’s journey to an Instant Insight Engine for enhanced customer support

AWS Machine Learning - AI

Through advanced analytics, software, research, and industry expertise across over 20 countries, Verisk helps build resilience for individuals, communities, and businesses. The company is committed to ethical and responsible AI development, with human oversight and transparency.

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The Good and the Bad of Firebase Backend Services

Altexsoft

But in contrast, writing backend code, managing hardware, and dealing with hosting is not that fun as writing letters. In this article we’ll review Firebase platform, its main services, and features. Firebase is a software development platform launched in 2011 by Firebase inc, and acquired by Google in 2014. Not exactly.

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The Good and the Bad of Firebase Backend Services

Altexsoft

But in contrast, writing backend code, managing hardware, and dealing with hosting is not that fun as writing letters. In this article we’ll review Firebase platform, its main services, and features. Firebase is a software development platform launched in 2011 by Firebase inc, and acquired by Google in 2014. Not exactly.