technologyreseller.co.uk 37 PREDICTIONS How AI will develop in 2025 What advances in AI technology and adoption can we expect in 2025 and what must businesses do to make sure they make the most of the opportunities? Three experts highlight key trends likely to shape the next 12 months in AI their talent to have an understanding of AI augmentation, alongside essential soft skills such as leadership, organisational skills and creative thinking. This won’t be in one industry or department – I can see every role evolving through this lens, with AI serving as a powerful assistant, rather than as a competitor. It’s time to recognise this shift, too: AI is here to support and enable workers, not threaten or limit their roles. The analytical thinking from the left-brain will work in tandem with AI augmentation, and that powerful combination will define the future of work. Helen Hawthorn, Head of Solutions Engineering EMEA, Zoom 1 AI-first user interfaces (AIU) The next wave of innovation will blend conversational AI with graphical user interfaces (GUIs) to create intuitive, AI-first user interfaces. These interfaces will streamline workflows by prioritising personalised, action-oriented interactions that adapt to user behaviours and needs. As AI assistants get smarter, they will have a bigger impact on our personal lives, becoming our first stop in starting new endeavours or brainstorming ideas. AI agents will evolve beyond simply automating tasks and will perform more complex work for us, offering personalised, emotionally intelligent guidance that strengthens our interactions with others. 2 Federated AI models will lead The performance gap between open- 2 Transparency around data governance Another key to AI success that will become more prevalent in 2025 is transparency around how data is being used and the value it provides to its owners. Success isn’t just about having data, it’s about having clean and complete data that is governed in a secure and compliant fashion. AI search technology can assist by seamlessly integrating data from various sources of structured and unstructured data, such as Workday, Qualtrics or even Microsoft Excel, and connecting it quickly for more effective AI outcomes. 3 Embracing human-AI collaboration The third thing organisations need truly to get value from AI, alongside the availability of clean, complete data and transparency around how that data is governed and used, is the right philosophy to get value from the work. We are on the verge of a major cultural shift in how AI will impact the way we work. Widespread adoption of this technology doesn’t mean that every single person will have to code or know the language of AI to keep pace. Instead, we’ll see a shift to people developing the skills to be AI-capable and embrace AI augmentation effectively. Rather than technical STEM expertise – although those skills remain important – the focus will be on finding the right approach to human and AI collaboration. Ensuring a balance of both intelligences to enable people and technology to seamlessly work in sync. This means that the workforce will need to learn how to work alongside a series of intelligent assistants in the months and years to come, becoming familiar with how to use tools like Copilot to drive speed, efficiency and quality. Although this is not an AI skill as we know it today, leveraging AI to augment your daily life whilst layering your unique expertise on top will set candidates and employees apart from the pack. That’s where the future of work is headed, and we will see this start to play out more generally in the world of work in 2025. The leaders of tomorrow will expect Cathy Mauzaize, President, EMEA at ServiceNow It’s been fascinating to see the shift in how business leaders across the C-Suite have grappled with the impact of Generative AI over the last two years. All agree that this is a game-changer. However, approaches and pace vary depending on who you speak to – by department, industry or even country. When I think about the conversations I’ve had with leaders across EMEA, a few trends are starting to emerge, which I see impacting the next year in AI. If 2023 was about learning and 2024 was about rapid experimentation, then 2025 is certainly the year of value realisation. Here are three trends that I believe will impact how businesses can realise the value of Generative AI in the coming year. 1 AI is the data, and data makes the AI As more companies experiment with generative AI, many find their projects fail due to unclean or inaccurate data. This is the constant challenge: without good quality data, AI projects cannot succeed. Proof of concepts often fall short because they aren’t based on real data and lack the time needed for proper training of the AI. The best planned AI initiatives are shifting from proof-of-concept to proof-ofvalue, focusing on solving real problems – and these are set to become more than just buzzwords in 2025. Instead of merely demonstrating feasibility, projects should start with a concrete challenge and use real data to address it. continued...
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