AI and machine learning (ML), which include technologies such as deep learning, neural networks and natural-language processing, can also encompass more advanced systems that understand, learn, predict, adapt and potentially operate autonomously. Systems can learn and change future behavior, leading to the creation of more intelligent devices and programs. The combination of extensive parallel processing power, advanced algorithms and massive data sets to feed the algorithms has unleashed this new era.
If 2016 taught us anything, it’s that data backup and disaster recovery has never been more critical. Ransomware becoming a bigger and bigger threat. Businesses must properly preserve their data, and the need is nothing but academic.
As we transition into 2017, that need is going to remain just as important – if not more. Not only will cyber threats remain a constant challenge, but the volumes of data that need to be safeguarded will continue to pile up. This is thanks to developments such as the Internet of Things, big data and data analytics.
Regardless of the risks, too many companies still play fast and loose with data backup and recovery. This is especially prevalent in the SMB space, where 53% of companies don’t back up daily.
Cheers till next time,