Remove Cost-Benefit Remove Manufacturing Remove Optimization Remove Unstructured Data
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AI and generative AI are revolutionizing manufacturing…here’s how

CIO Business Intelligence

Manufacturing has been a longstanding pillar of progress for humankind. From the Industrial Revolution over 200 years ago to today, manufacturing has had a profound impact on our lives, made possible by its unrelenting innovation. Supply chain management Manufacturing can benefit from more predictive supply chain management.

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3 key digital transformation priorities for 2024

CIO Business Intelligence

After all, every department is pressured to drive efficiencies and is clamoring for automation, data capabilities, and improvements in employee experiences, some of which could be addressed with generative AI. Meanwhile, CIOs must still reduce technical debt, modernize applications, and get cloud costs under control.

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The most valuable AI use cases for business

IBM Big Data Hub

Technical AI use cases Speed operations with AIOps There are many benefits to using artificial intelligence for IT operations (AIOps). More benefits from AI include building a more sustainable IT system and improving the continuous integration/continuous (CI/CD) delivery pipelines.

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An Introduction To Data Dashboards: Meaning, Definition & Industry Examples

datapine

Without the existence of dashboards and dashboard reporting practices, businesses would need to sift through colossal stacks of unstructured data, which is both inefficient and time-consuming. With such dashboards, users can also customize settings, functionality, and KPIs to optimize their dashboards to suit their specific needs.

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5 misconceptions about cloud data warehouses

IBM Big Data Hub

The rise of cloud has allowed data warehouses to provide new capabilities such as cost-effective data storage at petabyte scale, highly scalable compute and storage, pay-as-you-go pricing and fully managed service delivery. In addition, companies have complex data security requirements.

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Exploring real-time streaming for generative AI Applications

AWS Big Data

You can find similar use cases in other industries such as retail, car manufacturing, energy, and the financial industry. In this post, we discuss why data streaming is a crucial component of generative AI applications due to its real-time nature. For building such a data store, an unstructured data store would be best.

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Build a serverless transactional data lake with Apache Iceberg, Amazon EMR Serverless, and Amazon Athena

AWS Big Data

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

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