Remove how-to-build-a-scalable-platform-architecture-for-real-time-data
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Maximizing your event-driven architecture investments: Unleashing the power of Apache Kafka with IBM Event Automation

IBM Journey to AI blog

Recognizing the need to harness real-time data, businesses are increasingly turning to event-driven architecture (EDA) as a strategic approach to stay ahead of the curve. This trend grows stronger as organizations realize the benefits that come from the power of real-time data streaming. .

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Industry 4.0 Metaverse Unlocked: How AR/VR, AI and 3D Technology Are Powering The Next Industrial Revolution

Unite.AI

By transforming how companies run, interact with their customers, and accomplish their objectives, this technological solution set has been making a significant impact across multiple industries. It combines the physical and digital worlds to build a space where they live side by side and communicate in real time.

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The winning combination for real-time insights: Messaging and event-driven architecture

IBM Journey to AI blog

In today’s fast-paced digital economy, businesses are fighting to stay ahead and devise new ways to streamline operations, enhance responsiveness and work with real-time insights. Essentially, it sets an easy stage for building a strong real-time and fault-tolerant technology stack businesses once could only dream of.

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Exploring architectural choices: Options for running IBM TRIRIGA Application Suite on AWS with Red Hat OpenShift

IBM Journey to AI blog

Data and AI are increasingly critical tools in how organizations are evolving their facilities management. Real-time insights infused with AI support dynamic space planning. We also explore the architectural decisions to consider so you can choose the one that best fits your organization’s needs.

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AI in DevOps: Streamlining Software Deployment and Operations

Unite.AI

This article delves deep into the transformative synergy of artificial intelligence and DevOps, exploring how this partnership can redefine your operations, making them scalable and future-ready. How does DevOps expedite AI? Also, deploying the code to software is a bit tricky and time-consuming.

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Julian LaNeve, CTO at Astronomer – Interview Series

Unite.AI

Julian LaNeve is the Chief Technical Officer (CTO) at Astronomer , the driving force behind Apache Airflow and modern data orchestration to power everything from AI to general analytics. Julian does product and engineering at Astronomer where he focuses on developer experience, data observability, and AI.

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Jaret Chiles, Chief Services Officer, DoiT – Interview Series

Unite.AI

With 25+ years of experience across consulting and managed services, cloud adoption, technical sales, security and compliance, he is instrumental in building out a key value driver for DoiT’s business: services, consulting, and support offerings. It’s been an interesting journey and I never really considered working in any other field.