Managed.IT - Issue 63

13 PREDICTIONS ‘Darth Vader riding a bicycle in the style of Claude Monet’ will create exactly that, an image of Darth Vader on a bike as if it was painted by Claude Monet. Now you might be thinking, I could find that on Google image search, but it's worth pointing out that the AI isn't searching the internet for existing images and pasting them together. Instead, it's creating a completely new image based on its general understanding of what Darth Vader and a bicycle look like and Claude Monet’s painting style. So, the AI is creating something completely new – a unique image. In 2023 the field will move to the next level, going from generating static images to 3D models and video generation based on just a text description. I also predict that AI-based music generation will move forward massively. While there have been systems able to do this for some time, I think 2023 will be the year we see AI-based music generation improve to the point where you may enjoy listening to it. Lawyers Will Benefit From AI Being able to generate images, videos and music just by telling an AI what to do gives everyone the tools to be creative. Producing music for marketing campaigns, designing a logo and creating a meme or images for PowerPoint presentations become quick and relatively trivial tasks. However, the technology is evolving quickly and there are big question marks over Intellectual Property and the ownership of the created content. The common response now is that AI art can't be copywritten, which is fine if the content isn't being used commercially. But it could be a problem if used to create imagery for a movie or a marketing campaign. And although an AI image can’t be copywritten, if you create an exact copy of the Mona Lisa using an AI and you use it commercially, you could be liable. AI Will Become Even More Explainable As AI systems and Deep Learning models become ever more complex, it becomes increasingly challenging to explain how they Hybrid Working IT should not be arbiters of tech provision By Joe Walsh, Director of B2B, Samsung UK and Ireland. This year, it’s essential that we move beyond sweeping generalisations on the topic of hybrid working. Everyone is different and every job is different, and there’s no reason to have a one-size-fits-all policy in an age when personalisation is possible. For this reason, I prefer the term ‘fluid working’. With the right technology, you really can work from anywhere. Whilst it might seem like an obvious conclusion, research reveals that the biggest benefit for employees of working from home is the ‘fluidity’ to spend their time how they want. If you are good at what you do and have the right tech behind you, there are increasingly more jobs you can accomplish from a beach in Bali or a tall stalk of steel and glass in London. To render the transformation of work complete, companies need to allow – and facilitate – all styles. This puts technology right at the centre of a successful organisation, as more and more teams – HR, recruitment, even design and production – are realising. It shouldn’t just be the IT department making a plan by default and equipping employees with their best guess of what’s required. A fluid working style will have different technical requirements than pure-play remote or in-office working. It’s not just a question of having a single device that works well, but an entire ecosystem that works seamlessly together with the end user in mind. Business Technology Computers Will Be More Creative By Pete Hanlon, Chief Technology Officer, Moneypenny 2022 saw the release of state-ofthe-art image-based AIs such as DALL-E 2 from OpenAI, Imagen from Google and Stable Diffusers from Huggingface. These stateof-the-art AIs can generate photo realistic images from a simple text prompt. For example, the prompt make predictions. Deep learning models are often trained on billions of data items. However, if we want to understand why a complex model gave a particular prediction, it’s almost impossible to do in a way that is understandable to humans. To trust AIs to drive our cars and help run our lives, we need to be able to understand the processes they went through to make a prediction. This is a big area of research by the large tech companies and many research groups, and I expect significant advances in 2023. Digital Transformation Will Accelerate The world is changing rapidly, and all businesses should understand what those changes mean for them. Technologies such as artificial intelligence, the internet of things, virtual and augmented reality, cloud computing, blockchain and superfast network protocols like 5G are commonplace now. It’s more important than ever that businesses understand how they can embrace state-of-the-art technologies as part of their BAU (business as usual), helping them to automate tasks, make better decisions and align their products and services more closely with customer needs. The pandemic has taught us to focus on what we do best and to bring in experts when we need specific solutions, so expect the Business Process Outsourcing trend to continue to grow. Moneypenny is a leading provider of telephone answering, outsourced switchboard, live chat and customer contact solutions. It has over 1,250 employees globally and currently handles over 20 million calls and live chats for 21,000 businesses. Joe Walsh Samsung UK and Ireland Pete Hanlon Moneypenny Deep learning models are often trained on billions of data items. However, if we want to understand why a complex model gave a particular prediction, it’s almost impossible to do in a way that is understandable to humans