Okay this was kind of amazing … I just gave it a title and some keywords. And then it went ahead and wrote an article. I was able to tell it to “keep talking” and it kept on going. #humbled.
“The financial services industry has always been a time of risk and uncertainty. The 2008 financial crisis showed that consumers and investors alike were not prepared for the worst and, in turn, it created a lack of trust for the industry. Nearly a decade later, we are still trying to rebuild that trust.
A recent study by the U.S. Chamber of Commerce Foundation found that 79% of respondents said they would trust their financial institution more if they were notified in advance about what to do in case of an emergency, such as a natural disaster or cyber-attack.
Typically when an emergency strikes, it’s easy to be overwhelmed by the events happening around you, but taking some time before the emergency hits is critical to being prepared. If you have an emergency plan in place before something happens, you can feel better prepared in case something does happen.
The need for resiliency in financial services is very important in order to remain trustworthy for consumers who are looking for stability in a time of chaos. To meet this need, financial institutions are working with other financial services organizations to create more resilient systems and processes.
Resiliency in financial services is important to everyone, not just the consumer. Financial institutions need to be resilient in order to protect their customers, their employees, and their shareholders’ investments. Resiliency is a key component in the trust that consumers place in banks and other financial services organizations.
In order for resiliency to grow and persist in the industry, both the public and private sectors must work together to ensure that our systems are built with resiliency from day one. The next time you head into your local bank branch or visit your online banking site, think about what might happen if something goes wrong. Is that bank prepared? If not, it’s time to start asking questions — because you deserve an answer.”
What I found:
- https://textcortex.com (example above)
- https://gpt.contentyze.com/ (hung)
- https://deepai.org/machine-learning-model/text-generator (not so awesome)
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