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The countdown is on! Join the IBM Z Day: Special Edition virtual conference to learn how you can unlock more business value by bringing advanced AI to mission-critical data and workloads on IBM's newest mainframe platform. Register now https://lnkd.in/eFvkic6d #ibmzday #AI

A recent report by the IBM Institute of Business Value suggests enterprises that recognize mainframes as strategic assets and enablers are seeing tangible business benefits. Find out more in this blog https://ow.ly/3qgS50VggQx

With the ability to process more than 1 million transactions per second, today's mainframe is a processing powerhouse engineered to run some of the largest, most critical workloads that require the highest levels of security, uptime and resilience. But what mainframes such powerful computing platforms? Why are they foundational to enterprise IT in the age of cloud? Explore the answers in this article. https://ow.ly/bs1750VbEqY

This IBM webinar tackles common data integration challenges by showcasing 7 real-world use cases where data observability makes a significant impact. Join the webinar to learn how to transform your data integration processes and unlock the full potential of your data. Register here https://ow.ly/ToO950Vb4Jr

The next generation of IBM mainframes are expected to feature the new Telum II processor and the Spyre Accelerator chip, both of which aim to improve AI performance and handle data-intensive workloads on Z more efficiently. Read more here https://ow.ly/z2he50V7rGA

From a single AI agent that monitors and flags fraudulent transactions to a multi-agent supply chain management system, agentic AI can be a boon for business. So how can enterprises get started with AI agents? This is where AI frameworks come in. Read more here https://ow.ly/FT4h50V6250

In this webinar discover how to adopt AI co-pilot tools in an enterprise setting with open source software and IBM Granite. Learn about: -Setting up a free co-pilot tool in Visual Studio Code with business friendly licensing -Fully local set-ups with no external services used for business sensitive data -Enabling local LLMs with Ollama for additional use cases. Register here: https://ow.ly/m4ra50V2CzL

Research shows that organizations use an average of 130+ applications and for larger enterprises that number can exceed 1,000. This application growth adds complexity, making data management and accessibility a growing challenge. The following 5 strategies can help organizations deal with this issue effectively: -Centralize application management -Safeguard data interoperability across applications -Establish a data governance framework -Leverage AI and automation -Foster a culture of collaboration Find out more here: https://ow.ly/1Qju50V1QSP

Businesses have a responsibility to act sustainably in AI development, to ensure environmental factors remain top of mind. IBM is one company that's leading the way in meeting this challenge. In this blog we look at six ways in which it's building sustainability into its AI approach. https://ow.ly/vZnc50UYn1M

The world of AI is changing and changing quickly. In this video, Martin Keen, IBM Fellow, sets some expectations for AI in 2025. Will Large Language Models (LLMs) get bigger? Smaller? Both? What's in store for AI Agents? Watch to find out. https://ow.ly/2tmR50UXzbm