Architecture AWS Off-The-Shelf Storage 
AWS Machine Learning - AI
AUGUST 22, 2024
Building a deployment pipeline for generative artificial intelligence (AI) applications at scale is a formidable challenge because of the complexities and unique requirements of these systems. Generative AI models are constantly evolving, with new versions and updates released frequently.
Perficient
DECEMBER 2, 2022
It would take way too long to do a comprehensive review of all available solutions, so in this first part, I’m just going to focus on AWS, Azure – as the leading cloud providers – as well as hybrid-cloud approaches using Kubernetes. Introduction. Edge computing and more generally the rise of Industry 4.0 Solution Overview.
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Hu's Place - HitachiVantara
JANUARY 10, 2019
Hitachi’s developers are reimagining core systems as microservices, building APIs using modern RESTful architectures, and taking advantage of robust, off-the-shelf API management platforms. A REST API is built directly into our VSP storage controllers. REST stands for “representational state transfer.”
AWS Machine Learning - AI
APRIL 16, 2024
Amazon SageMaker Studio provides a fully managed solution for data scientists to interactively build, train, and deploy machine learning (ML) models. In the process of working on their ML tasks, data scientists typically start their workflow by discovering relevant data sources and connecting to them.
TechCrunch
JULY 16, 2021
But then came Bitcoin and the crypto boom and — also in 2013 — the Snowden revelations, which ripped the veil off the NSA’s “collect it all” mantra, as Booz Allen Hamilton sub-contractor Ed risked it all to dump data on his own (and other) governments’ mass surveillance programs. million seed round in 2019.
Modus Create
JUNE 20, 2023
Serverless architecture Search results for “serverless architecture” over the past 5 years (2/24/2023) Serverless architecture allows developers to create products without managing the underlying infrastructure. You don’t have to provision servers to run apps, storage systems, or databases at any scale. billion in value.
AWS Machine Learning - AI
NOVEMBER 22, 2023
The financial service (FinServ) industry has unique generative AI requirements related to domain-specific data, data security, regulatory controls, and industry compliance standards. RAG is a framework for improving the quality of text generation by combining an LLM with an information retrieval (IR) system.
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