2017 Trends of IT

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 is that disaster recovery and data backup have never been more important. Ransomware becomes an ever-increasing threat. Businesses have to maintain their data correctly, and the need is nothing but academic.

As we move into 2017, this need is going to be just as important – if not more. Not only will cyber threats constantly be challenging, but the volumes of data that need to be protected will continue to increase. This is due to the growth of such things like 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,

 

Jonathon Bassett