Summarize this content to 2000 words in 6 paragraphs in Arabic Last month, JPMorgan Chase announced that all its new hires would receive training in the use of artificial intelligence \u2014 promising that such a move would help staff to eliminate repetitive \u201cno joy work\u201d and boost productivity and revenues.\u201cThis year, everyone coming in here will have prompt engineering training to get them ready for the AI of the future,\u201d said Mary Erdoes, chief executive of the US bank\u2019s Asset and Wealth Management business. She was referring to the process of writing the most effective text \u2018prompts\u2019, which are required to generate the desired response from an AI application. And Erdoes is not the only business leader to see this need. Prompt engineering is emerging as one of the in-demand skills in workplaces where AI is taking over and automating tasks, or acting as an aid to workers \u2014 for example, through chatbots such as OpenAI\u2019s ChatGPT.\u00a0In governments, globally, productivity improvements from generative AI could be worth $1.75tn annually by 2033, according to Marc Warner, co-founder and chief executive of Faculty, a London-based company providing AI software, consulting and services.\u00a0But reaping these benefits will require careful investment in retraining for an AI world.\u201cIt\u2019s not AI that will replace humans, it\u2019s humans who can work with it [who] will replace [those] who can\u2019t,\u201d says Khariton Matveev, a tech entrepreneur. His advice is: \u201cView AI as a co-worker, don\u2019t avoid it, but look more for cases of implementation in your field.\u201dAccording to one study, nearly a fifth of US workers could have at least 50 per cent of their tasks affected by the introduction of large language models, such as OpenAI\u2019s GPT-4. Matveev believes this AI adoption will be more about \u201cpartially replacing some job elements than entirely replacing professions\u201d. He suggests that information-processing jobs \u2014 such as translator, researcher, or designer \u2014 are at higher risk than professions requiring physical strength.\u00a0In preparation for the new technology, he recommends that workers complete a course in prompt engineering, and try to experiment with AI tools by integrating them into their daily lives.\u00a0Christian Rebernik, co-chief executive and co-founder of Tomorrow University of Applied Sciences, says there is a more \u201curgent need\u201d to retrain for AI in certain sectors than in others. Sectors where the need is great include healthcare, climate change mitigation, and cyber security \u2014 as cybercriminals are increasingly using AI to carry out sophisticated attacks.\u00a0There are also AI-specific roles that will become increasingly important as the technology is more deeply embedded in our everyday lives, such as data-labeller or annotator \u2014 people who can help to train AI algorithms by, for example, clarifying what a particular image depicts.\u201cThe rise of Generative AI brings a number of opportunities for retraining \u2014 mapping to the AI pipeline that goes from data collection and labelling, to model creation and training, and finally application and feedback,\u201d says Dev Nag, chief executive of QueryPal, an AI assistant for businesses. \u201cDomain experts who can help at the beginning and end of this pipeline \u2014 [advising on] which data to collect, how to label it, and how to apply it \u2014 will continue to add enormous value.\u201dTo those most at risk of having their roles replaced, but who remain tech savvy, Matveev says: \u201cYou can secure yourself, if you are a top-tier expert who can help teach AI in your field\u2009.\u2009.\u2009. [you can] earn from training models on data set created by you.\u201d\u00a0But, with all these changes, the skills required to stay ahead go beyond the purely technical.\u00a0To be most effective as a prompt engineer in a particular sector, for example, will require deep knowledge of that sector. \u201cOur experience so far suggests\u2009.\u2009.\u2009.\u2009that there is a strong correlation between subject matter expertise and the ability to create the best prompts,\u201d explains James Longster, partner in the technology and commercial transactions department at UK law firm Travers Smith. He cites the legal sector: if different staff members are given the task of using AI to extract information from a contract, the experienced lawyers will tend to outperform their non-legal counterparts in creating the prompts that extract the best results.And all employees who work with clients will need to know how to wield AI in ways that retain their clients\u2019 trust and confidence. Nag points to the enduring role of financial advisers who must \u201cbalance the risk versus reward judgment for individual investors, so that [AI] algorithms don\u2019t push outside of the target risk envelope\u201d.Matveev agrees. \u201cAs AI takes on more \u201chard\u201d components \u2014 like data, analysis, execution \u2014 the human role will shift to better understanding needs, what do clients really want and what should we do,\u201d he says.Others also mention the importance of interpersonal skills and ethics as AI is adopted in the workplace. \u201cSkills such as emotional intelligence \u2014 recognising and regulating one\u2019s emotions \u2014 and social intelligence \u2014 understanding and influencing the emotions of others in social situations \u2014 will ensure AI integration remains human-centred,\u201d argues Rebernik.\u00a0\u00a0Above all, staff will need to be \u201cflexible and adaptable\u201d, says Stanford University professor and AI specialist Erik Brynjolfsson \u2014 as some skills may quickly become redundant as the technology moves so fast.\u00a0\u201cPrompt-engineering skills were hailed as the important new skill to learn,\u201d he notes. \u201cBut they are already being eclipsed, as [large language models] learn to write better prompts than humans.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"
Summarize this content to 2000 words in 6 paragraphs in Arabic Last month, JPMorgan Chase announced that all its new hires would receive training in the use of artificial intelligence \u2014 promising that such a move would help staff to eliminate repetitive \u201cno joy work\u201d and boost productivity and revenues.\u201cThis year, everyone coming in here<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[63],"tags":[],"class_list":{"0":"post-101498","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-tech"},"_links":{"self":[{"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/posts\/101498","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/comments?post=101498"}],"version-history":[{"count":0,"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/posts\/101498\/revisions"}],"wp:attachment":[{"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/media?parent=101498"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/categories?post=101498"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/tags?post=101498"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}