In this so-called “information age”, data is everywhere. Understanding it, and — crucially — processing it responsibly is important.
In a world where leaving a digital footprint against anything we do becomes near impossible to avoid, the analytics data that gets created through businesses and customer usage of software gives it a certain value. Europe’s GDPR rulings have highlighted the seriousness of customer privacy, and by introducing this legislation, it forces companies to properly evaluate their use of personal data — underpinning the value of it and making software accountable for it.
Personalisation and privacy
When we talk about AI and “smart apps”, we make software that uses data to enrich the user experience by providing context, assistance and suggestions to help you achieve your goals more efficiently. All of this is backed up by the use of data — it matters where this data lives, how it is processed and who has control over it. By thinking about these problems, and being responsible for the solutions, we can ensure that privacy is maintained, we remain accountable, yet still provide personalised intelligence in an app.
Ensure that the data your company holds is secure, attributable, and removable. This last point has been easily forgotten in the last few years — it is OK to delete data. Sometimes, it’s knowing when it can be removed; how relevant are trends found in data analysis from last year? These sorts of questions benefit smart apps — a query about the latest news articles giving the result of something that happened last year is not very useful.
So don’t hide things behind legalese — be honest with your users, ensure you have the right safeguards, and most importantly use data responsibly.