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Real-time artificial intelligence and event processing  

IBM Big Data Hub

By leveraging AI for real-time event processing, businesses can connect the dots between disparate events to detect and respond to new trends, threats and opportunities. AI and event processing: a two-way street An event-driven architecture is essential for accelerating the speed of business.

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Scoring More Goals in Football with AI: Predicting the Likelihood of a Goal Based on On-the-Field Events

DataRobot Blog

In a special project created to celebrate the world’s biggest football tournament, the DataRobot team set out to determine the likelihood of a team scoring a goal based on various on-the-field events. This time, I am excited to apply data science to the football field. The insights from unstructured data. text, images).

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Understanding Structured and Unstructured Data

Sisense

Different types of information are more suited to being stored in a structured or unstructured format. Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Unstructured data.

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Want AI? Here’s how to get your data and infrastructure AI-ready

CIO Business Intelligence

This infrastructure must be suited to handle extreme data growth, especially with unstructured data. An estimated 90% of the global datasphere is comprised of unstructured data 1. And it’s growing rapidly, estimated at 55-65% 2 year-over-year and three times faster than structured data.

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5 modern challenges in data integration and how CIOs can overcome them

CIO Business Intelligence

Handling streaming data Streaming data is continuous and unending, and consists of an uninterrupted sequence of recorded events. Traditional batch processing techniques are designed for static datasets with well-defined beginnings and ends, making it difficult to work on streaming data that flows uninterruptedly.

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Huawei unveils four strategic directions for the future of finance

CIO Business Intelligence

Achieving this requires a comprehensive upgrade across five dimensions of data intelligence — data architecture, data governance, data consumption, data security, and data talent. Mr. Cao noted the specific problem of unstructured data. “A Huawei’s new Data Intelligence Solution 3.0

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Exploring real-time streaming for generative AI Applications

AWS Big Data

For example, in a chatbot, data events could pertain to an inventory of flights and hotels or price changes that are constantly ingested to a streaming storage engine. Furthermore, data events are filtered, enriched, and transformed to a consumable format using a stream processor.