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IBM and TechD partner to securely share data and power insights with gen AI

IBM Big Data Hub

A coordinated partnership: How these tools work together By using IBM Db2, IBM watsonx Assistant and NeuralSeek, we offer a comprehensive solution that streamlines data management, enhances accessibility, and helps to ensure security and integrity across your enterprise.

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Companies need help making the dream of digital transformation a reality

IBM Big Data Hub

Digital transformation drives many IT investments, with a focus on adapting to new work models and customer expectations, increasing capacity to respond to higher demand, managing growth with fewer resources, enhancing eCommerce capabilities, and supporting security and compliance requirements.

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How IBM and AWS are partnering to deliver the promise of AI for business

IBM Big Data Hub

In today’s digital age where data stands as a prized asset, generative AI serves as the transformative tool to mine its potential. IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data.

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The most valuable AI use cases for business

IBM Big Data Hub

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

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Anomaly detection in machine learning: Finding outliers for optimization of business functions

IBM Big Data Hub

Common machine learning algorithms for supervised learning include: K-nearest neighbor (KNN) algorithm : This algorithm is a density-based classifier or regression modeling tool used for anomaly detection. Regression modeling is a statistical tool used to find the relationship between labeled data and variable data.

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How to Improve Your Big Data Management

Reltio

It's often unstructured and usually doesn't fit neatly into databases. By processing big data, retailers can get insights into their entire supply chain. Benefits of a Big Data Management Plan. Forbes reported that 95 percent of businesses say they struggle to manage unstructured data. Data Quality.

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Real-time analytics on IoT data

IBM Big Data Hub

Inventory optimization (in retail). Considering solutions for real-time analytics on IoT data. Millions of events can be ingested each second in parallel from data sources such as Kafka, cloud object storage or HDFS. This means you can stream in structured — as well as unstructured data — for real-time analytics.