Summarize this content to 2000 words in 6 paragraphs in Arabic In the faddish IT industry, new technologies often fail to live up to early hype and struggle to find a \u201ckiller\u201d use case.But for every blockchain or metaverse, other technologies \u2014 including artificial intelligence, cloud computing and workflow automation \u2014 break through to the mainstream and capture a share of corporate IT budgets.These three business technologies feature prominently among the IT and software services companies which account for a fifth of this year\u2019s FT 1000 ranking of European businesses by revenue growth.Using AI to detect theft or fraud is a growing market for tech start-ups. In recent years, retailers have been hit by a wave of store thefts, sometimes involving violence.Paris-based start-up Veesion aims to help business owners fight back using AI-powered surveillance software that analyses closed-circuit TV to catch shoplifters. The software combines machine-learning algorithms with biometric technology to spot suspicious body movements, such as a customer putting an item in their coat or opening products.The technology, used by more than 4,000 stores in over 25 countries, cuts shoplifting by up to 60 per cent on average, according to Veesion, which was founded in 2018 by three former data science students.\u201cOur system is continuously learning [and] getting better\u201d, says Hamza Saleem, Veesion\u2019s senior account executive for the UK and US. \u201cWe have\u2009.\u2009.\u2009.\u2009a lot of data in terms of behaviour analysis of how a shoplifter [acts] on average and the different kinds of movements that AI can pick up on.\u201dVeesion, 52nd in the FT1000, claims its biometric technology is better at identifying shoplifters than facial-recognition-based software. The latter can recognise a thief only if they have been spotted before and their face is in the system, says Saleem.Video: The shoplifting threat to the retail industry | FT TransactWith the spike in shoplifting showing no sign of abating, demand for retail surveillance software looks set to remain strong. In 2023, Veesion\u2019s revenue was about \u20ac6mn, up from about \u20ac200,000 in 2020.Future products may also help Veesion\u2019s customers spot employee theft, Saleem adds.\u201cA lot of our customers are asking about [technology to help them detect] shoplifting from their own staff, for example behind the checkout where staff are putting\u2009.\u2009.\u2009.\u2009cash into their pockets,\u201d Saleem says.Ranked 18th in the FT list, SourceWhale also incorporates AI in its subscription-based workflow automation software, to boost efficiency at recruitment companies.Its cloud-based software connects dozens of IT systems and automates agencies\u2019 daily tasks, such as following up with candidates, business development and collating data from platforms including LinkedIn, as well as email and back-office IT systems.While there is no shortage of software for recruitment agencies to plan and implement tasks, joining the dots between systems can be tricky.\u201cOne of the biggest issues for recruiters is admin,\u201d says co-founder and chief executive Timothy Hogwood.SourceWhale was founded as a recruitment agency in London at the start of 2020 by two friends who met at university. Initially, its technology was built as a sideline \u2014 a way to automate recruitment tasks and increase profit margins.We got dragged\u2009.\u2009.\u2009.\u2009screaming into being a software companyBut when recruitment work dried up because of the Covid pandemic, the tech offered a lifeline. SourceWhale had begun to partner with other agencies, some of which were impressed by its technology.\u201cA couple of [recruitment agencies] said, \u2018Tim, you\u2019re an alright recruiter, which, as you know, is British for relatively crap\u2009.\u2009.\u2009.\u2009but why can\u2019t we just use your technology \u2014 we\u2019ll pay you for it\u2019. So, we\u2009.\u2009.\u2009.\u2009got dragged kicking and screaming into being a [business to business] software company.\u201dAfter winning its first software customer in the summer of 2020, SourceWhale grew fast, without external investment from venture capital firms. In 2023, it reported revenue of \u20ac7.75mn, up from \u20ac137,000 in 2020. Its biggest market is the UK, then the US.The software is used by thousands of agencies, including Robert Half. \u201cBy focusing on our niche really, really well, it\u2019s allowed us to grow incredibly fast\u2009.\u2009.\u2009.\u2009because we know our customers better than anyone else\u201d, says Hogwood.One such client, Primis \u2014 a technology-focused recruitment company \u2014 estimates that SourceWhale software has produced a return on investment of between 12 and 18 times the cost of the technology by helping it win new clients and place them in jobs. Primis founder, Ben Broughton describes the software as \u201cmassively time saving and cost cutting\u201d.As with Veesion, theft detection is part of the sales pitch for Solidstudio, a Polish start-up which makes technology for electric vehicles. Ranked 73rd in the FT 1000 list, the company makes software for operators of electric-vehicle charging networks and drivers.\u201cThe software helps EV drivers find chargers, pay for the charging, start charging [and] manage the charging session,\u201d says CEO and co-founder Pawe\u0142 Ma\u0142kowiak.But developing AI technology to detect fraud involving electric vehicles is a priority. An example is when RFID (radio frequency identification) cards \u2014 which drivers plug into charging stations \u2014 are cloned. If this happens, a driver can charge different EVs in multiple locations \u2014 which has become \u201cquite common\u201d says Ma\u0142kowiak. <\/p>\n","protected":false},"excerpt":{"rendered":"
Summarize this content to 2000 words in 6 paragraphs in Arabic In the faddish IT industry, new technologies often fail to live up to early hype and struggle to find a \u201ckiller\u201d use case.But for every blockchain or metaverse, other technologies \u2014 including artificial intelligence, cloud computing and workflow automation \u2014 break through to the<\/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-254309","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\/254309","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=254309"}],"version-history":[{"count":0,"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/posts\/254309\/revisions"}],"wp:attachment":[{"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/media?parent=254309"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/categories?post=254309"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/tags?post=254309"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}