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The blueprint for a modern data centerĀ 

IBM Big Data Hub

Use them and build advanced data-driven processes around them to enable your entire organization to create a distinct, competitive edge. For you as a business leader, this means pivoting from manual methods to a more streamlined, technology-driven and data-enabled approach. billion in 2022.

Cloud 72
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Business process reengineering (BPR) examples

IBM Big Data Hub

BPR examples are not one-time projects, but rather examples of a continuous journey of innovation and change focused on optimizing end-to-end processes and eliminating redundancies. The purpose of BPR is to streamline workflows , eliminate unnecessary steps and improve resource utilization.

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Conversational AI use cases for enterprises

IBM Big Data Hub

This class of AI-based tools, including chatbots and virtual assistants, enables seamless, human-like and personalized exchanges. NLP translates the user’s words into machine actions, enabling machines to understand and respond to customer inquiries accurately.

Analytics 106
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What is cloud cost optimization?

IBM Big Data Hub

You can scale your cloud resources up or down to meet demand, and costs will follow. It can be hard to monitor metrics and compare data when using multiple cloud vendors with different dashboards, and overspending can be easy. It’s also about making sure your costs align with your business goals.

Cloud 71
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Optimizing clinical trial site performance: A focus on three AI capabilities

IBM Big Data Hub

This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. Clinical trials are time-consuming, costly, and largely inefficient for reasons that are out of companies’ control.

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The 3 Key Phases of CI/CD-Driven DevOps

Rocket Software

As organizations increasingly turn to DevOps to meet the needs of their customers and users, itā€™s critical they establish best practices to ensure success. This stage is the time to minimize discrepancies and variables as development shifts between traditional and modern environments.

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Generative AI use cases for the enterprise

IBM Big Data Hub

Remember how cool it felt when you first held a smartphone in your hand? This personalized training sculpts the model into bespoke generative AI perfectly aligned with business goals. The process demands high-level skills and resources, but the results are more likely to be compliant, custom-tailored and business-specific.