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B2B Sales is changing rapidly. Until recently, all technological focus was on the consumer market, but this is changing. This brings the future for B2B.

Computer vision (CV) and machine vision (MV) are forms of artificial intelligence that record and interpret visual input. People often use the terms interchangeably. Understandable, because the techniques overlap considerably. For example, image recognition is an important shared feature.

In the end, every company is all about selling its products or services. However, it is becoming increasingly difficult to sell products or services due to the large amount of competition.

Not so long ago, reducing customer turnover was a huge challenge for companies. While their best sales professionals were bringing in new customers at the front door, existing customers were happily walking out the back door. In fact, it was a case of mopping up the water.

Automated Machine Learning (AutoML) offers a golden solution for companies that want to get more out of their data, but do not have the experts to invest hours in it. AutoML is the way to bridge this gap. The technique allows you to build the models you need for data analysis within your company much faster. In this article, we look at the advantages and the application possibilities of AutoML. But before that, we need to take a look at what AutoML exactly is and how it relates to Machine Learning.

Would you like to approach a customer or prospect, but don't have a hook yet? In this article we explain what sales triggers are and how to use them in contact with prospects and customers.