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IBM and Tata Consulting Services collaborate to drive hybrid cloud adoption with IBM Power Virtual Server

IBM Big Data Hub

.” — Babu Unnikrishnan, CTO, Relationship Incubation Group, TCS Financial institution reduces IT infrastructure spend by USD 300,000 annually Financial institutions have complex regulatory, compliance and security requirements, in addition to specific user expectations. This upgrade resulted in improved overall performance.

Cloud 58
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Five benefits of a data catalog

IBM Big Data Hub

Imagine walking into the largest library you’ve ever seen. Fortunately, the library has a computer at the front desk you can use to search its entire inventory by title, author, genre, and more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

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Application modernization overview

IBM Big Data Hub

Discovery focuses on understanding legacy application, infrastructure, data, interaction between applications, services and data and other aspects like security. Likewise, there are several other Generative AI use cases that include generating of target technology framework-specific code patterns for security controls.

Cloud 89
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Anomaly detection in machine learning: Finding outliers for optimization of business functions

IBM Big Data Hub

Isolation forest models can be found on the free machine learning library for Python, scikit-learn. One-class support vector machine (SVM): This anomaly detection technique uses training data to make boundaries around what is considered normal.

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How to choose the best AI platform

IBM Big Data Hub

Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio. Key benefits of an AI platform AI platforms can help you harness the power of AI technology, driving a range of benefits for your business, such as increased automation, scale, security and more.

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Legacy application modernization: A comprehensive approach to modernize your business 

IBM Big Data Hub

These existing systems, characterized by outdated technology and architecture can hinder an organization’s ability to keep up with changing business needs and pose significant security and operational risks. Doing so helps reduce the risk of security breaches and avoid costly compliance issues.