Artificial Intelligence System Architecture System Design 
CIO
MARCH 9, 2022
Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. This dual-system architecture requires continuous engineering to ETL data between the two platforms. Each ETL step risks introducing failures or bugs that reduce data quality. .
AWS Machine Learning - AI
MARCH 13, 2025
Advancements in multimodal artificial intelligence (AI), where agents can understand and generate not just text but also images, audio, and video, will further broaden their applications. This post will discuss agentic AI driven architecture and ways of implementing.
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Infinidat
JANUARY 12, 2021
Dissatisfaction with their storage solution or technical support often boils down to an inability to meet performance or availability SLAs, and a move to a system that can validate their ability to meet these requirements, based on both their technology and customer testimonials, can present a strong case.
Xicom
DECEMBER 26, 2018
Installing the Internet of Things (IoT) in a large enterprise with industrial applications includes the integration of machine learning (ML), large data, inter-machine (M2M) communications, artificial intelligence (AI), cloud, robotics and other technologies. They will withstand tolerance pulses and have to work reliably for decades.
LeanEssays
JULY 14, 2019
Making the Shift to Digital If your organization was not born digital, it may be considering a shift toward digital in order to leverage technologies such as artificial intelligence, augmented reality, ubiquitous Internet, and more. Without a new paradigm in system architecture, scaling was extraordinarily difficult, so many failed.
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