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  "documentTitle": "unlocking the uk s tech talent potential",
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  "authorName": "Barclays Eagle Labs",
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      "text": "Executive summary, Introduction, Trends in hiring, Attracting talent, Developing and retaining talent, The future in tech, Methodology, About",
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      "text": "Technology continues to exert a significant influence on hiring practices, reshaping them in various ways. The digital revolution that was sped up by the COVID-19 pandemic has already had an enormous impact on the way businesses hire - moving more of the hiring process online helps companies save time and money. They can conduct interviews and meetings over the Internet instead of having candidates come into the office. This can also apply to candidates taking tests or completing set tasks to assess their suitability for a role. Application tracking systems (ATS) have become integral during the recruitment process, helping to find candidates, store information and support the overall process management. With large volumes of candidates currently applying for roles, ATS helps recruiters to identify the best applicants. When combined with digital practices, AI can improve the cost and time efficiency of the recruitment process. It can be used to assess video submissions from candidates, which acts as an additional screening stage. The use of AI in this stage can, as long as designed and trained appropriately, also help recruiters overcome the unconscious bias that they may unintentionally apply to candidates. The automation of more routine tasks, such as responding to emails or setting up interviews, allows recruiters more time to focus on the human-intensive side of the process. As mentioned however, recruiters may find the need to adapt the traditional recruitment processes, given the fact that AI is capable of writing CVs and covering letters for candidates, as well as completing take-home tasks. This has led to an increase in online tasks which are completed in meetings or alternatively the use of screen sharing, in order to get a better sense of a candidate's ability.",
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      "text": "The skills required in the workplace are constantly evolving. These skills need to keep pace with technological innovations in order for businesses to harness the benefits of these developments. One recent innovation that has been highlighted throughout this report is the further development and adoption of AI. For those looking to utilise AI, it is important to understand the abilities and limitations of the AI models currently being used, as well as the ability to interpret data and other outputs from AI software. Problem-solving skills will help people to use AI efficiently and to adapt its use, depending on the issue being resolved. For those working within the AI industry, a different set of skills is required. The focus for those using AI is around the understanding of what the programmes can do whilst working in the AI industry requires more technical skills. A key skill is a knowledge of programming, which includes languages such as Python, used in developing AI software. Machine learning skills are also used to give computers the ability to learn from experiences. Other skills include mathematics, data science and software engineering. It is important to also understand the ethical and legal issues around AI, to ensure the honest and consistent development of the technology.",
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