Remove Big data Remove Events Remove Financial Services Remove Manufacturing
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Building for operational resilience in the age of AI and hybrid cloud

IBM Big Data Hub

For highly regulated industries, these challenges take on an entirely new level of expectation as they navigate evolving regulatory landscape and manage requirements for privacy, resiliency, cybersecurity, data sovereignty and more.

Cloud 74
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Deployable architecture on IBM Cloud: Simplifying system deployment

IBM Big Data Hub

Resilience : Deployable architecture is designed to be resilient, with built-in redundancy and failover mechanisms that ensure the system remains available even in the event of a failure or outage. IBM Cloud provides you with well-architected patterns that are secure by default for regulated industries like financial services.

Cloud 63
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Network Encryption Keeps Our Data in Motion Secure for Business Services

Thales Cloud Protection & Licensing

Data-in-motion encryption is vital to all businesses but let’s explore some verticals in the private sector, each with its own requirements and needs for protecting data in motion. Financial Services Financial organizations operate in a highly regulated environment and undergo frequent audits to prove compliance.

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The Third Modern Data Management Summit: Making Data Work!

Reltio

The third Modern Data Management annual summit ( #DataDriven19 ) held on February 26-27 2019 attracted more than 400 business and IT professionals getting together in San Francisco to witness the future of data management, share success stories and learn best practices. Reltio was the Diamond sponsor and host of the event.

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The most valuable AI use cases for business

IBM Big Data Hub

These systems can evaluate vast amounts of data to uncover trends and patterns, and to make decisions. They can also help businesses predict future events and understand why past events occurred. Technical AI use cases Speed operations with AIOps There are many benefits to using artificial intelligence for IT operations (AIOps).

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How to Prevent Data Breaches: Data Breach Prevention Tips

eSecurity Planet

A CRM at a large financial services company might have an RTO of 15 minutes, while a storage archive for cold data may have an RTO of 12-24 hours. Incident responders and managers alike need training before the event. A few key defenses and preparation could save your organization from big data breach disasters.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

It might analyze real-time data from cameras, LiDAR and other sensors to identify objects, assess risks and anticipate environmental changes like sudden weather events or unexpected obstacles. Manufacturing and supply chain management AGI might revolutionize manufacturing by optimizing every step of the process.