As the world becomes increasingly digital and cloud based, the importance of data protection and privacy has become paramount for all organizations. One key aspect of ensuring compliance with data protection laws and regulations is the appointment of a Data Protection Officer (DPO). However, appointing a DPO internally can present several challenges, including conflicts of interest and a lack of specialized skills. That is where Data Protection Officer as a Service (DPOaaS) comes in.

One thing’s for sure: in 2023, Machine Learning will penetrate even more businesses in even more sectors, following tremendous growth last year. But when it comes to ML, what should organizations have their eyes on, to stay ahead of their competitors?

85% of Machine Learning (ML) projects fail. This stark reminder from Gartner – despite more tools being available to businesses than ever. The thing is ML success is not just about tools and technology; it’s about how they’re put into production by experts. Plural. Machine Learning – that improves productivity and profitability by finding valuable insights buried deep in your company databases – needs a small army to leverage it.