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The most valuable AI use cases for business

IBM Big Data Hub

Not only will this help scale the AOT tech across markets, but it will also help tackle integrations including additional languages, dialects and menu variations. They can also help businesses predict future events and understand why past events occurred. Gear up robotics AI is not just about asking for a haiku written by a cat.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

The prospect of developing synthetic minds that can learn and solve complex problems promises to revolutionize and disrupt many industries as machine intelligence continues to assume tasks once thought the exclusive purview of human intelligence and cognitive abilities. Imagine a self-driving car piloted by an AGI.

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Ransomware Protection in 2021

eSecurity Planet

Below we outline 18 industry tips for actions you can take to reduce your risk of a ransomware attack: Action. Adaptive Monitoring and Tagging. This includes active tagging of workloads, threat hunting , and virus assessments, and consistent evaluation of traffic for mission-critical applications, data, or services.

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Best practices for hybrid cloud banking applications secure and compliant deployment across IBM Cloud and Satellite

IBM Big Data Hub

Financial Services clients are increasingly looking to modernize their applications. Moreover, many of these financial services applications support regulated workloads, which require strict levels of security and compliance, including Zero Trust protection of the workloads.

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