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The hidden history of Db2

IBM Big Data Hub

The fact is that databases are truly the engine driving better outcomes for businesses — they’re running your cloud-native apps, generating returns on your investments in AI, and the backbone supporting your data fabric strategy. Exxon transforms customer experiences . Real-time analytics and ML .

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Delivering business value for insurance companies

Collibra

Given the data-intensive nature of their operations, it is natural that many insurance companies are looking towards the cloud as an infrastructure choice to help enable more agile data operations. Drivers for cloud adoption. Bridging this gap in expectations are data leaders, who play a vital role in any successful cloud strategy.

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Conversational AI use cases for enterprises

IBM Big Data Hub

Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends. ML and DL lie at the core of predictive analytics, enabling models to learn from data, identify patterns and make predictions about future events.

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The most valuable AI use cases for business

IBM Big Data Hub

There’s no need to make customers wait for the answers to frequently asked questions (FAQs) or to take the next step to purchase. And digital customer service agents can boost customer satisfaction by offering advice and guidance to customer service agents. See what’s ahead AI can assist with forecasting.

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The total patient experience: reflections from HIMSS 2024

OpenText Information Management

AI is also being leveraged to anonymize patient studies used to feed Large Language Models (LLMs) for clinical insights, peer collaboration, education, and teaching rounds. As genomics and data analytics evolve, personalized medicine is set to revolutionize healthcare, making it more precise and patient-centric.

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Creating a holistic 360-degree “citizen” view with data and AI

IBM Big Data Hub

Thanks to innovations in data analytics and AI, leaders can make smarter, faster and more efficient decisions to improve public health outcomes and advance health equity. A data fabric facilitates the end-to-end integration of various data pipelines and cloud environments by using intelligent and automated systems.

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Part 1: OMG! Not another digital transformation article! Is it about understanding the business drivers?

ARMA International

Here, Part 1 discusses the key DT business drivers, concepts, and technology trends, how they are transforming organizations and society, and how the trends are affecting business users and customers. Some technology trends such as real-time data analytics are on-going, while others are more recent, such as blockchain. Cloud-First.