Communication is a hard skill and individuals need to invest in this area of expertise so that they can sell themselves. This could be in the setting of a job interview, meeting with colleagues, pitches or an appraisal meeting. In order to survive in an ever-competitive world, every person needs to be able to communicate effectively.

It is not only those beginning their professional careers that need to invest in upskilling in this area, high level figures often have cracks in their communication because of a lack of preparation, attention to detail and often self-doubt and so it needs to be addressed with training.

Some companies have put huge investment into AI training to help their staff improve their communications skills, however, for an algorithm to work you need to set parameters to be assessed against to measure success and that means providing a certain type of presentation video. This often means scripted content for the individual to read out and be assessed against. This is not convenient or realistic. You want analysis and feedback on speeches or presentations that you will actually be delivering. The feedback needs to be personalised and it needs to take into account the context of what you’re saying. Data capture won’t recognise the context, which results in the meaning being lost.

Presentations and speeches are much more complex than AI can currently cope with. They’re multipurpose, multi layered and communication is nuanced and differs according to culture and context. People can be very powerful communicators in very different ways, none of which are right or wrong. AI fails on something as emotively objective as communication. We’ve all seen it, the Chief Executive, politician, headteacher, we can all think of people whose words have been chosen with precision, but somehow those words aren’t landing with the audience, and it takes an experienced professional to work out why and help adjust the content and techniques to ensure that the next performance is a success.

AI is great for identifying patterns, however, without a human’s input to add context to data, there is little meaning. Everyone is different and algorithms work on probability meaning that a human to human interaction is essential to tailor learning to an individual.

reVIEW™ does not use algorithms to assess an individual’s performance, it uses experienced Broadcasters who have interviewed, listened and analysed what people say for decades as part of their job. They will take context into consideration as part of the critique. This makes their assessment very specific, personalised and all encompassing, so that the feedback given has meaning to the individual.

AI will be disruptive and difficult to compete with, however, it is very clear that nothing will replace human to human interaction.