How privacy-driven data innovation can eliminate data waste
Trūata’s Michael Ingrassia discusses how privacy-driven data innovation can enable companies to use data responsibly without reducing its efficiency or creating excessive data waste.
Author: Michael Ingrassia
The Secret Advantage To Winning The AI Race
The AI race is on and companies around the world are competing for global advantage in artificial intelligence-based innovation. Many experts have written off European companies in this race, based on the assumption that they will fall behind due to Europe’s perceived stricter attitudes and laws on data privacy. But is this true? Or could this privacy-focused attitude actually be a secret weapon when it comes to winning the AI race?
Changing The Data Privacy Landscape Post COVID-19
The COVID-19 virus is upending life for many of us. Its ultimate impact – beyond lives tragically cut short, jobs lost and savings decimated – will take some time to understand. Data analytics is playing a critical part in the battle against the pandemic and its role is set to grow further as we adjust to these unprecedented circumstances. However, as we see the benefits of big data insights, we must not ignore the associated risks.