The speed at which companies found they must transform saw many take the first opportunity to upgrade to a cloud ERP solution.

The IT industry is seeing a great deal of focus on the role of the data engineer, where understanding cloud and big data engineering technologies is critical.

The seismic shift caused by the COVID-19 pandemic has created a host of uncharted challenges as well as magnified obstacles in the payments industry.

If companies are to speed up their app delivery pipeline, they need to remember the success of continuous delivery hinges on effective employment of continuous testing.

Companies previously accepted potentially insecure devices within their environments as they weighed risk against productivity rewards. But the scales are tilting alarmingly.

As ransomware attacks increase, complacency about consumer reaction to the theft of data would be an utterly foolhardy approach for business owners.

A protocol that gives autonomous adaptability – enabling the network to react in real-time to changes in network topology, load and environmental conditions – is desirable.

There are misconceptions that the cloud offers dramatic savings and will allow companies to eliminate the cost of buying hardware and maintaining it.

Gig workers allow companies to be more flexible in terms of scaling up or down fast − an essential survival tactic as competition and demand for digital skills intensify.

Networking obstacles can often keep farms from adopting automation, or relegate them to a low level of automation without the ability to scale their operations.

Step-by-step levels of automation serve as a roadmap to the applications, functionality and agricultural benefits of introducing precision farming techniques.

With data having become the ‘new oil’, it may be time to use a different term for data governance when having discussions with business.