I recently visited IBA Group in Minsk and I had the pleasure to speak with Andrei Lepeyev, the director of software development at IBA Group. As someone who studied software engineering at university myself, I’m always fascinated by the way that platforms such as cloud computing and the app store have changed what it means to deliver software, so it was really great to catch up with Andrei.
You can hear our conversation on the CX Files podcast by clicking here or search your favourite audio podcast provider, such as iTunes, Spotify, SoundCloud, or Stitcher. Because we were focused on CX we talked about some of the technologies and systems that Andrei is working on that have a direct impact on the quality of CX for the clients of IBA Group.
I had initially asked Andrei about how Artificial Intelligence (AI) is being used to predict customer behaviour, but he explained to me that IBA has gone further and created a product called APPULSE that offers a complete Level 1 and 2 support service for mainframe computer systems.
Andrei said: “APPULSE not only detects the system and finds problems, it uses Machine Learning to learn about the solutions so in many cases it can create a self-healing mainframe system. Mainframes are still really important and unbeaten in the range of directions they are deployed. They are the most stable and virus-free systems, but their user-interface is not usually so good.”
Andrei was talking about the importance of keeping mainframes running because they are often overlooked by most customers, yet your bank will be relying on those systems to be running if they want to offer a 24/7 online banking platform. Ensuring that the system can heal itself before problems even happen is an enormous improvement in the way that a traditional IT support operation would run – fixing problems only after they have caused a problem. That’s always a disaster for customers who need service now.
One of the big trends for 2019 in CX will be Robotic Process Automation (RPA). Andrei explained to me that IBA Group has delivered implementations all over the world using the top four RPA platforms so they are not just riding a wave of RPA hype, they have real customers and case studies from numerous countries. But I asked Andrei how they choose the best platform for different customers – is the software really very different?
He said: “First we think about the support level of each supplier. Can they provide education or trial systems? Can they add specific requests to the software? Can they give extra information to a company like ours that may be implementing the solution?” However Andrei also added an interesting point which is not often discussed in the industry – sometimes it is just which software system is seen first by the customer. He said: “It is also important to see how each of the companies is marketing their product to the client. Often we will be approached by a potential client who already has a pilot system – developed free by the software vendor – and it can be very hard to move them to another system even if we think it could be better.”
Andrei mentioned Machine Learning when describing the mainframe support system and I asked him about the popularity of this in 2019. Are more and more customers asking how to make their systems learn about customers and systems automatically?
Andrei said: “Yes, many more clients are asking about it. The main reason is that there has been an evolution of hardware. A simple mobile phone allows almost every standard machine learning platform to work. Ten years ago this was impossible. We are not talking about huge brands like Google and Amazon – even smaller companies can deploy a machine learning system today – there is a very low barrier to entry now.”
When I asked Andrei about his priorities for 2019 he said that he wanted everyone in the industry to remember that none of these technologies exist in a vacuum – they all need to interact with other technologies and business processes. He said: “When we are talking about AI we cannot talk about it alone, it should be the business application of AI. We can’t talk about RPA without Machine Learning. We can’t talk about Cloud Computing without talking about the solutions that are built and deployed on the cloud. I’m looking forward to some projects in 2019 that involve AI using RPA and are delivered on the cloud.”
My conversation with Andrei provided a great insight into how some of these technologies are really affecting the customer experience. A large amount of media coverage is just hype, but as Andrei demonstrated, there is a great deal of substance here. These technologies can deliver game-changing systems, but the companies using them to interact with their customers need to have great products and services – it is not the use of an RPA or AI platform alone that will help them to be more successful.