Many corporate leaders initially pivoted towards AI in their quest to remain competitive, ahead of the game and no doubt to incur huge savings on operational costs.
Many corporate leaders initially pivoted towards AI in their quest to remain competitive, ahead of the game and no doubt to incur huge savings on operational costs. As we experience both the intended and unintended consequences of AI – a clearer picture emerge of all the ways in which we can use it to create a better world. This is apart from the obvious objective to create better shareholder value. Thanks to rather high adoption rates, the learning curve is incredible.
Today I will touch on a few areas where AI is already bringing remarkable benefits. Most of these were discovered in my journey as CTO for SnatchBot where we work with a truly global client base, however I admit that even with an in-depth multi-sector operation, all stakeholders in this industry are contributing to learning in ways that surprize us positively. Allow me to share this by means of industry-specific examples:
AI in the health sector:
One drawback we helped solve for 24/7 healthcare is worth mentioning. Traditionally, it was so labour-intensive. When Chatbots for healthcare came along, overnight the industry became capable of serving patients with important FAQ’s, the ability to schedule appointments with doctors, managing prescription issues and even making payments to medical centres. It actually freed up more quality time for doctors and patients, as much of the reassuring element of medical care is now AI-assisted. As far as doctors are concerned, we all know how hard it is to retrain an assistant – and that is why chatbots that can serve physicians with a streamlined support service to manage referrals, track the critical care process and help reduce human error, is such an amazing concept.
AI in the military:
Your countries defence can benefit substantially from artificial intelligence. Recently I discussed how chatbots are increasingly used by militaries worldwide. Starting from simple tasks such as recruiting the right candidates, to actual operational matters such as defence and offense, which off course I will not elaborate on right now. A critical factor indeed is that efficiency is increased sharply, with costs driven down – which most governments welcome today. Public safety in general can also stand to benefit as machine learning is used. It is possible to read and interpret human behaviour and to predict dangerous situations through language – this can then trigger automated alerts fed through to law enforcement. This is just one example of how natural language processing (NLP) can be beneficial.[…]