How to boost your business with AI

Networks are changing. With the growth of cloud, containers, IoT and other burgeoning technologies, networks need to be agile, scalable and secure. In the world of a network engineer, the main goal is to facilitate the transfer of data from one place to another. If it interferes with the flow of packets and frames, it's not your friend. So, when considering security it can seem like a hindrance to network operations and speed.

The volume, complexity, and pace of all the critical elements of business are undeniably increasing. The question is not whether or not commerce will undergo a dramatic transformation in the coming years, but what - precisely - that transformation will look like, what new opportunities it will present, and - most importantly - w

It’s been said that in support, a good employee experience equals a good customer experience. But how can you be sure your support professionals are performing at the top of their game, every time? Traditional quality monitoring methods are highly manual and arduous, and only allow managers to review a small sample of cases. Plus, by the time evaluations are performed, the context and ability to really learn is diminished.

Demand forecasting is not a new concept in the supply chain. In fact, it’s often referred to as ‘guessing between the goalposts,’ and for the most part, that was right. Now, using algorithms that not only predict demand to drive forecasts but also incorporate external data sources and continuously learn and optimize the algorithm without intervention we have the ability to significantly reduce the size of those goal posts. Using AI we can improve the accuracy of our forecasts and then allow us to predict where and when those products should be deployed ahead of customer demand. The result? Improved forecasts, reduced freight costs, better customer service levels, and optimized working capital.