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The key to operational AI: Modern data architecture

CIO

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

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How to Integrate Event-Driven Ansible With Kafka

Dzone - DevOps

Integrating event-driven Ansible with Kafka enables seamless real-time automation by continuously monitoring Kafka topics and triggering Ansible playbooks based on specific events. Leveraging Kafkas distributed architecture ensures high scalability, rapid event processing, and improved system resilience.

How To 92
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CIOs contend with gen AI growing pains

CIO

MIT event, moderated by Lan Guan, CAIO at Accenture. Unfortunately, despite hard-earned lessons around what works and what doesn’t, pressure-tested reference architectures for gen AI — what IT executives want most — remain few and far between, she said. What’s Next for GenAI in Business” panel at last week’s Big.AI@MIT

Airlines 204
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Behind the Scenes: Building a Robust Ads Event Processing Pipeline

Netflix Tech

At Netflix, we embarked on a journey to build a robust event processing platform that not only meets the current demands but also scales for future needs. This blog post delves into the architectural evolution and technical decisions that underpin our Ads event processing pipeline.

Metrics 71
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How Infosys improved accessibility for Event Knowledge using Amazon Nova Pro, Amazon Bedrock and Amazon Elemental Media Services

AWS Machine Learning - AI

Infosys , a leading global IT services and consulting organization, used its digital expertise to tackle this challenge by pioneering, Infosys Event AI, an innovative AI-based event assistant. The absence of such a system hinders effective knowledge sharing and utilization, limiting the overall impact of events and workshops.

Media 82
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Streamdal wants to bring greater visibility to streaming data architectures

TechCrunch

The rise of streaming architectures — frameworks of software components built to ingest and process large volumes of data from multiple sources — is driving the demand for better reliability and performance. Engineering teams often encode data to improve app performance by using what are known as “message envelopes.”

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Building Scalable and Efficient Architectures With ECS Serverless and Event-Driven Design

Dzone - DevOps

Two such technologiesAmazon Elastic Container Service (ECS) with serverless computing and event-driven architecturesoffer powerful tools for building scalable and efficient systems.