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Real-Time Streaming for Generative AI and LLMs, Explained

Real-Time Streaming for Generative AI and LLMs, Explained

Real-time streaming for generative AI means feeding large language models (LLMs) with data the moment it changes in your business, instead of from a nightly batch. Change events flow through an event ...

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What Is Streaming SQL? How It Works, Engines & Use Cases

What Is Streaming SQL? How It Works, Engines & Use Cases

Streaming SQL is SQL that runs continuously over data in motion. Instead of querying a table once and returning a fixed result, a streaming SQL query subscribes to a stream of events, such as Kafka to...

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What Is a Streamhouse? Data Architecture for AI Agents

What Is a Streamhouse? Data Architecture for AI Agents

A streamhouse is a data architecture that keeps the current state of a business continuously available to production applications, analytics, and AI agents. It captures data as events happen, processe...

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What Is AIOps Observability? A Guide to AI-Powered Observability

What Is AIOps Observability? A Guide to AI-Powered Observability

AIOps observability is the practice of applying artificial intelligence and machine learning to observability data, so the logs, metrics, and traces a system emits are analyzed automatically instead o...

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IBM Bob Implementation Services: Deploying an AI Copilot

IBM Bob Implementation Services: Deploying an AI Copilot

IBM launched Bob company-wide on April 28, 2026, positioning it as an AI development partner rather than another code-completion tool. The pitch is broader than autocomplete: planning, architecture, t...

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IBM watsonx.data Explained: AI-Ready Lakehouse for Streaming Data

IBM watsonx.data Explained: AI-Ready Lakehouse for Streaming Data

Most organizations running AI initiatives today are not short on data. They are short on a place to put it that works for analytics, machine learning, and generative AI at the same time without three ...

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