Artificial Inteligence Storage System Architecture 
AWS Machine Learning - AI
APRIL 23, 2025
National Laboratory has implemented an AI-driven document processing platform that integrates named entity recognition (NER) and large language models (LLMs) on Amazon SageMaker AI. In this post, we discuss how you can build an AI-powered document processing platform with open source NER and LLMs on SageMaker.
CIO
JUNE 18, 2024
Beyond the hype surrounding artificial intelligence (AI) in the enterprise lies the next step—artificial consciousness. The first piece in this practical AI innovation series outlined the requirements for this technology , which delved deeply into compute power—the core capability necessary to enable artificial consciousness.
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Xebia
DECEMBER 13, 2024
Retrieval-Augmented Generation (RAG) is a key technique powering more broad and trustworthy application of large language models (LLMs). By integrating external knowledge sources, RAG addresses limitations of LLMs, such as outdated knowledge and hallucinated responses.
CIO
MARCH 9, 2022
Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. It’s common to compensate for the respective shortcomings of existing repositories by running multiple systems, for example, a data lake, several data warehouses, and other purpose-built systems.
AWS Machine Learning - AI
SEPTEMBER 6, 2024
Generative artificial intelligence (AI) can be vital for marketing because it enables the creation of personalized content and optimizes ad targeting with predictive analytics. LLMs don’t have straightforward automatic evaluation techniques. Therefore, human evaluation was required for insights generated by the LLM.
Abhishek Tiwari
SEPTEMBER 8, 2024
When a machine learning model is trained on a dataset, not all data points contribute equally to the model's performance. Applying data valuation to large language models (LLMs) like GPT-3, Claude 3, Llama 3.1 System architecture of LOGRA for Data valuation. (1)
Infinidat
JANUARY 12, 2021
Why Enterprise Storage Customers Stay in Suboptimal Vendor Relationships. Guest Blogger: Eric Burgener, Research Vice President, Infrastructure Systems, Platforms and Technologies, IDC. This raises an interesting question: why do enterprise storage customers stay in vendor relationships that don't seem to meet their needs?
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