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Mitigating the impact of climate change in insurance and other financial services  

IBM Big Data Hub

For other financial services firms outside of the insurance sector, property accepted as loan security might face climate-related risks as well. Across the financial sector, there are transition risks to consider as we move to a low-carbon economy. Financial services firms can use the tool for “what if?”

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

Regardless, these are examples of narrow AI. Current AI systems struggle with context, color and understanding how to react to partially hidden objects. AGI examples However, once theoretical AGI achieves the above to become actual AGI, its potential applications are vast.

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Embracing new ways of working in financial services

CGI

Embracing new ways of working in financial services. The question is how, when disruptions in day-to-day life and business abound. How will banks respond, rebound and reinvent? In times of crisis, the preservation of key functions and services is critical, regardless of industry.

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How to Prevent Data Breaches: Data Breach Prevention Tips

eSecurity Planet

Also read: Network Protection: How to Secure a Network 2. For example, a security admin might send a message to all team members and then perform a system scan. In this example, the security admin is responsible for alerting his team. Your individual business will have to decide how to implement NTA in a cost-effective way.

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AIIM19 Session Preview - Bot Bootcamp: How to Manage Your Artificial Employees

AIIM

But none will be more informative than a session planned by David Jacopille from Massachusetts Financial Services titled “Bot Bootcamp: How to Manage Your Artificial Employees.” Can you give us an example of what you mean? We vastly undervalued how important these fundamental abilities are to success.

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Putting data storage at the forefront of cloud security

IBM Big Data Hub

Securing sensitive data in an evolving landscape Advancements like those in AI and quantum computing can pose new challenges to customers, especially those in highly regulated industries such as financial services, healthcare, telecommunications and more.

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5 things to know: Driving innovation with AI and hybrid cloud in the year ahead

IBM Big Data Hub

For organizations of all types—and especially those in highly regulated industries such as financial services, government, healthcare and telco—considerations including the rise of generative AI, evolving regulations and data sovereignty laws and ongoing security challenges must be top of mind.

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