O'Reilly on Data
OCTOBER 19, 2021
With these five layers, we can present a highly productive, data-centric software interface that enables iterative development of large-scale data-intensive applications. However, none of these layers help with modeling and optimization. Model Operations.
CIO Business Intelligence
OCTOBER 13, 2023
By identifying, connecting, understanding, and processing relevant information, GenAI tools trained on contextual data can produce the intelligent and reliable recommendations that decision makers and managers need in mere seconds. AI-optimized business processes can also help companies continuously optimize and improve efficiency.
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erwin
AUGUST 6, 2020
It allows both IT and business users to discover the data available to them and understand what it means in common, standardized terms, and automates common data curation processes, such as name matching, categorization and association, to optimize governance of the data pipeline including preparation processes.
IBM Big Data Hub
APRIL 15, 2024
The industry must continually optimize process, improve efficiency, and improve overall equipment effectiveness. Contextual data understanding Data systems often cause major problems in manufacturing firms. The manufacturing industry is in an unenviable position. They are often disparate, siloed, and multi-modal.
Cloudera
JANUARY 30, 2024
As we navigate the fourth and fifth industrial revolution, AI technologies are catalyzing a paradigm shift in how products are designed, produced, and optimized. But with this data — along with some context about the business and process — manufacturers can leverage AI as a key building block to develop and enhance operations.
IBM Big Data Hub
OCTOBER 3, 2023
Together, IBM Instana and IBM Turbonomic provide real-time observability and control that everyone and anyone can use, with hybrid cloud resource and cost optimization so you can safely automate to unlock elasticity without compromising performance. Contextual data: Context is king, but it’s rarely achieved given our current IT systems.
Cloudera
JUNE 13, 2024
As a result, developers – regardless of their expertise in machine learning – will be able to develop and optimize business-ready large language models (LLMs). Instead of moving the data each time to the compute that you want to use, you just keep all the data in its current place and bring the compute to the data.
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