Remove Data structuring Remove Insurance Remove Security
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The business value of operating core insurance solutions on the cloud

IBM Big Data Hub

Although interest rates have increased at an unprecedented rate over the past year due to efforts by central banks to curb inflation, insurers are locked into low-yielding investments, and it will take several years for their investment yields to improve. Core modernization (processes and technology) is a top priority for every insurer.

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Best Digital Forensics Tools & Software for 2021

eSecurity Planet

For everything from minor network infractions to devastating cyberattacks and data privacy troubles , digital forensics software can help clean up the mess and get to the root of what happened. Under their Security Suite products, OpenText provides industry-renowned EnCase. Paraben Corporation.

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Elevate investigative analytics and derive deeper insights

OpenText Information Management

This data can come in various formats, such as text, audio, image, and video, and can be stored across multiple internal and external repositories. Powerful analytics and visualization across all data. Security – Access control and audit throughout shared teams and projects.

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The Indian Business Responsibility and Sustainability Report (BRSR) explained

IBM Big Data Hub

These include ethics awareness programs for value chain partners, product and service life cycle assessments, employee protections such as insurance and transition programs. This data can be sliced and diced to align to the needs of multiple reporting frameworks as required.

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Data governance use cases – 3 ways to implement

Collibra

Data lake management: Prevent a data swamp. A data lake is a storage repository that holds a vast amount of raw data in its native format, including structured, semi-structured and unstructured data. The data structure and requirements are not defined until the data is needed.

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Business leaders highlight the need for a hybrid cloud approach to unlock the power of generative AI

IBM Big Data Hub

In 2023, organizations have faced an unprecedented level of pressure to digitally transform with the rise of generative AI as well as imperatives such as sustainability, labor productivity and security. The findings indicate that highly regulated industries are increasingly weighing risks, such as security, when considering the technology.

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