“At Radiall, we learn by doing and we believe in proof of concept. AI is definitely something we want to investigate. While we must deal with extra care with generative AI, we can not stay idle and be scared by the danger these technologies hold. We have started an AI initiative which, I hope, will lead us someday to deliver new services to support data literacy and data governance across the company. We work closely with IT and security departments to minimize risk, but also by establishing a trusted group of people to experiment alongside you, before rolling something out to the public.”

“We have a data scientist team which works in Python and has created many ML models for business uses. One example is the Attrition Prediction Analysis – which helps us predict which employees are at risk of leaving the organization and allows us to support them accordingly.”

“AI enables me to better understand the relationship and context of data that I might not have noticed at first. It has also led me to question certain things that I wouldn’t have questioned before when analysing manually”

“Everyone is talking about AI, but many don’t know why or what to do with it. In order to get the right outcome and not to go down the wrong path and believe in something wrong, initiatives and investments in AI need to have a very clear and particular challenge in mind. What’s more, there needs to be a tangible measuring of the outcome.”

‘’AI enhances our team's capabilities by automating tasks, providing insights and improving efficiency. It's reshaping roles to focus on higher-level strategic tasks. In some cases, new AI-focused roles have emerged to manage and optimize AI systems.’’

“It's one thing if AI saves me, personally, a bunch of time, but if I can save 10 or a hundred people time – it's got tremendous value. So, I would say begin investigating these tools right away. Encourage your team members to use them.”

“AI is transforming access to data and analytics and promoting data driven decision-making in my organization. It brings about the opportunity to capture, treat and show huge amounts of data in faster ways than ever before thanks to machine learning algorithms. Now the time between the business event and collecting the results has reduced so we are informed faster and can make decisions that make a difference.”

“We are relying on specialized partners to deploy the technology. If it reaches sufficient maturity and relevance within the company, we will consider incorporating specialized personnel. What we are doing is training many people within the company in Artificial Intelligence. Mainly, we are working on how to use Generative AI to increase productivity in our call centres and in departments such as legal, financial or marketing.”

“In healthcare we collect tons of data from every interaction with patients and machines. What we need is the use of data for building insights. Predicting the pressure points, predicting the flow of patients in the emergency department and the resources needed to cater to the high demand of the hospitals are areas I believe it could really help. We are already using predictive analytics and alerting mechanism to notify operational teams for the correct bed type requirements. This was developed during the peak of the pandemic which hospitals found very useful.”

“We’ve used AI for a number of things. The one we have seen the biggest return from is sentiment analysis. Using the technology, we can look at all our reviews from across a number of platforms and get a general idea of how we are performing. Without it we’d have to spend hours collating and reading all the text.”

“Within the NHS, AI is becoming more and more visible in its use, from assisting diagnostics to predicting admission and attendances. The analysis we are seeing from the technology is opening up new avenues for research from all areas of the health service.”

“AI provides a vast array of opportunities… be that improving and optimizing the supply chain, enhancing the consumer experience through natural language processing or generative AI, or through core AI functions such as sales or demand forecasting.”

“AI has the potential to transform financial services, such as banks, by providing personalized services, enhancing security, optimizing operations and enabling data-driven decisions. Adopting AI technologies can help banks stay competitive in a rapidly evolving industry, while delivering better services to their customers.”