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Navigating the cloud maze: A 5-phase approach to optimizing cloud strategies

CIO

In todays fast-paced digital landscape, the cloud has emerged as a cornerstone of modern business infrastructure, offering unparalleled scalability, agility, and cost-efficiency. Cracking this code or aspect of cloud optimization is the most critical piece for enterprises to strike gold with the scalability of AI solutions.

Cloud 147
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6 enterprise DevOps mistakes to avoid

CIO

They may also overlook the importance of aligning DevOps practices with end-to-end value delivery, customer insights, security considerations, infrastructure scalability, and the ability to scale DevOps at an enterprise level beyond isolated teams or projects.”

DevOps 214
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Building a digital future for settlement services

CIO

The experience underscored the critical need for innovative solutions that bridge the gap between newcomers and the support systems designed to help them. How do we ensure that our business operations are resilient, scalable and adaptable to meet the evolving demands of our industry?

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Bright Computing and Curtiss-Wright Working Together

CTOvision

Bright Computing has brought their supercomputing software tools to the embedded Aerospace & Defense market to be a part of Curtiss-Wright’s OpenHPEC TM Accelerator Suite TM. The OpenHPEC approach eliminates the need for COTS system integrators to develop their own costly middleware to layer on top of APIs provided by hardware vendors.

Hardware 101
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ReadySet raises $29M to expedite access to enterprise-scale app data

TechCrunch

Together at MIT, Marzoev and Gjengset spearheaded an open source project called Noria, a streaming data-flow system designed to act as a fast storage backend for web apps. After the project gained traction on GitHub, the two decided to refine it and bring it to market as a managed service: ReadySet.

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How real-time operational insights drive superior tech platform development

CIO

So as organizations face evolving challenges and digitally transform, they offer advantages to make complex business operations more efficient, including flexibility and scalability, as well as advanced automation, collaborative communication, analytics, security, and compliance features. A predominant pain point is the rider experience.

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Import a fine-tuned Meta Llama 3 model for SQL query generation on Amazon Bedrock

AWS Machine Learning - AI

However, deploying customized FMs to support generative AI applications in a secure and scalable manner isn’t a trivial task. This is the first in a series of posts about model customization scenarios that can be imported into Amazon Bedrock to simplify the process of building scalable and secure generative AI applications.