Large businesses across the globe have enjoyed productivity gains through their applications of machine learning and similar technologies. Lately, their efforts have turned to exploring the potential of generative AI. Unsurprisingly, small and medium organisations are keen to follow suit and reap these possible benefits — ideally before their competition does.

Different platforms will have an edge over others in certain areas. This makes a ranked list unhelpful, but matching CRM to business needs can help businesses prioritise which options to investigate. 10 of the most common CRMs we encounter, separated by use case.

While data driven operations have become more and more accessible to small and medium enterprise over the past years, that same ease of access has left a substantial number of organisations with stored personal data, serious privacy obligations and limited resources to keep up with the changeable privacy landscape.

High-quality data is vital for training any machine learning system. Data readiness is an ongoing process. Let us explain.

When we interact with other people and organisations in the world, we reveal information like our names, what we look like, where we’re from, or other, more specific information. This is our personally identifiable information. The idea of privacy concerns all aspects of the collection, storage, dissemination and use of that information.

An AI agent is only as good as the data behind it. Data is the lifeblood that flows through all forms of automation, and that includes AI.