Hardware diversity. Customers are increasingly interacting with businesses across multiple touchpoints, including smartphones, laptops, tablets, and more. This creates a heavier responsibility on companies as they look to ensure security and compliance across the entire spectrum. Foster collaboration between IT, security, and customer service departments to create a holistic approach to data privacy and to mitigate risks.
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Because data privacy brushes up against so many sections of the business, it can’t be treated as an afterthought. The buy-in needed across various departments also shows how a comprehensive data privacy strategy runs parallel to an organization’s greater data strategies and goals.
Artificial intelligence creates urgent call for data privacy
The growth of generative AI – in particular its use of copious amounts of data – created an urgency for data privacy. As the volume and complexity of data handled by AI systems continue to surge, likewise the need to protect sensitive information. And nearly 9 in 10 (87%) analytics and IT leaders agree: advances in AI make data america phone number list management a higher priority.
It’s possible that this AI spark – if not used appropriately with data safety and customer trust in mind – can catch the foundation of business operations on fire.
As a result, businesses should not only consider the urgency of data privacy frameworks, but strategically think about a data privacy strategy that takes into account key aspects like data protection, ethical AI practices, and transparency.
Though AI has the potential to transform the way companies operate, it’s as essential to place precautionary buffers to avoid compromised data. By doing so, organizations can build AI initiatives for both internal operations and customer interactions with confidence.
How to pick the best data privacy management tools that align with your goals
A company’s industry will often dictate the type and complexity of the data collected, so it can be helpful to work with vendors who have deep experience in your specific type of work.
You’ll also want to keep in mind geography. Because data privacy laws are regional, it helps to have a vendor vigilantly up to speed on the global requirements of data privacy.
Finally, companies should take into account the features available in their data privacy management software. This includes the accessibility of the tools across systems and devices, the data discovery and management capabilities, risk assessment tools, customer consent controls, and more.