TechCrunch
MARCH 9, 2022
As organizations continue to build out their digital architecture, a new category of enterprise software has emerged to help them manage that process. The longer-term goal is to build more predictive analytics and modeling tools that leverage the “digital twin” that Ardoq builds of a network.
CIO
NOVEMBER 23, 2022
Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. Making it easier to evaluate existing architecture against long-term goals.
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Infinidat
MARCH 10, 2021
Re-Thinking the Storage Infrastructure for Business Intelligence. When paired with the accelerated compute so often deployed with AI/ML-driven workloads, traditional storage architectures are severely challenged to keep the processors fed with data and operating efficiently – let alone meeting response time requirements.
CIO
JANUARY 20, 2023
2] Foundational considerations include compute power, memory architecture as well as data processing, storage, and security. It’s About the Data For companies that have succeeded in an AI and analytics deployment, data availability is a key performance indicator, according to a Harvard Business Review report. [3]
Altexsoft
AUGUST 12, 2020
This article describes IoT through its architecture, layer to layer. Before we go any further, it’s worth pointing out that there is no single, agreed-upon IoT architecture. It varies in complexity and number of architectural layers depending on a particular business task. Major IoT building blocks and layers.
CIO
APRIL 24, 2024
Finally, the flow of AMA reports and activities generates a lot of data for the SAP system, and to be more effective, we’ll start managing it with data and business intelligence.” The CIO has to add value to the business; he isn’t just the IT manager, managing servers and networks and associated costs,” Roero says.
CIO
JANUARY 24, 2024
Deep learning AI: A rising workhorse Deep learning AI uses the same neural network architecture as generative AI, but can’t understand context, write poems or create drawings. Great for: Extracting meaning from unstructured data like network traffic, video & speech. Model sizes: ~Millions to billions of parameters.
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