Success in business depends on having the right information at the right time. The stakes are even higher as artificial intelligence drives businesses’ unprecedented need for access tquality, trustworthy information. In fact, 92% of IT and analytics decision makers say trustworthy data is needed more than ever. To meet this need, leaders need to empower people to lead on data maturity and build trusted data foundations across their entire organization. Table of Contents [ Show ] Takeaway. Therefore, without trustworthy data, you cannot build trustworthy AI Every AI use case — from predictive analytics to IT management — is powered by data. But your AI solutions won’t deliver the results you expect if you’re not working with quality, reliable data. It’s a simple.
If the input is flawed of leaders
The output will be flawed. So what specifically makes data trustworthy? With the ever-increasing volume of data. Therefore, what best practices should be followed to ensure that all data meets this standard? These are just some of the things you should ask to determine if your data is trustworthy. Do you have a clear and consistent data collection Email List and entry process? Has your data been cleaned and standardized? Is your data protected and secure? Do you have a governance framework that addresses all aspects of the data lifecycle, including access and control, management, privacy, security, compliance and regulatory requirements? Is the data fit for purpose? Does it adhere to ethical and integrity expectations?
Easily get more value from your
When your data and business strategy are aligned The amount of data generated worldwide is increasing and is expected to increase by an average of 22% over the next 12 months. Therefore, getting value from this large amount of data is a top priority for business leaders – 94% agree they should get more value from their data. However, according to the survey, there are two significant obstacles standing in the way: security considerations and managing huge volumes of data. These BE Numbers two issues go hand in hand. As data volumes increase, security policies need to keep pace. But 6 in 10 IT and analytics leaders say they know nothing about how business teams are using data. A lack of visibility across parts of the business not only makes the organization more vulnerable to security threats.
