Remove solutions business-process-modeling
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Ensuring data reliability for AI-driven success: The critical role of data engineers

Collibra

From predictive analytics to Natural Language Processing (NLP) advances such as Large Language Models (LLMs), AI revolutionizes how businesses operate and make decisions. Their role encompasses designing data pipelines, ensuring data quality, and optimizing data processing systems for efficiency and scalability.

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The journey to a mature asset management system

IBM Big Data Hub

Earlier posts in this series addressed the challenges of the energy transition with holistic grid asset management, the integrated asset management platform and data exchange, and merging traditional top-down and bottom-up planning processes. Robots and drones perform inspections by using AI-based visual recognition techniques.

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GUEST ESSAY: An assessment of how ‘Gen-AI’ has begun to transform DevSecOps

The Last Watchdog

DevSecOps teams can test and debug code 70 percent faster with generative AI, which in turn saves businesses money and employee hours. AI can play a pivotal role in automating these processes. AI engineers can train the AI model on a dataset of historical code changes. The AI model can then review new code changes automatically.

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Empowering the digital-first business professional in the foundation model era 

IBM Big Data Hub

In the fast-paced digital age, business professionals constantly seek innovative ways to streamline processes, enhance productivity and drive growth. The transition to the foundation model era signifies a substantial change in how professionals use technology to enhance their digital strategies.

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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Integrating AI into Asset Performance Management: It’s all about the data

IBM Big Data Hub

Imagine a future where artificial intelligence (AI) seamlessly collaborates with existing supply chain solutions, redefining how organizations manage their assets. That’s the transformative promise of generative AI, which is beginning to revolutionize business operations in game-changing ways. Undoubtedly.

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For the planet and people: IBM’s focus on AI ethics in sustainability

IBM Big Data Hub

That means making more sustainable choices about how models are built, trained, and used, where processing occurs, what infrastructure is used, and how open and collaborative we are along the way.” As data use and processing activities increase, so too will global emissions.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.