Do you think Nikita from New York and Melissa from Memphis would buy the same kind of clothes or be attracted to the same top? It’s hard to argue that they will. Yet, H&M and hundreds of other retailers choose to bring the same “new” product line and replicate the same store format, in all outlets across the country. However, if the Wall Street Journal‘s reports are to be believed, H&M has learned to question this practice. Instead, the retailer will use big data and artificial intelligence (AI) to radically transform how it manages stores in each location to better engage with and entice shoppers. READ NEXT AI in retail: First-movers and laggards Previously, the company used to rely on staff to spot trends in fashion. Now, in order to predict trends three to eight months in advance, H&M will be analyzing data from blog posts, search engines, and other sources. To facilitate the analyses, the retailer has reportedly reeled in 200 internal and external data scientists, analysts, and engineers to. Their job is to use the analytics to review purchasing patterns of every item in each store. H&M’s dataset seems to be pretty robust. It includes information from 5 billion visits last year to each of its stores and websites, as well as data from external sources. According to the WSJ, the chain’s algorithms take into account any factor that impacts the business, even currency fluctuations. The retail giant believes that this new approach will help resist competition from e-commerce businesses growing increasingly popular with deal-hungry millennials. YOU MIGHT LIKE E-COMMERCE Transforming from traditional retail business to online retail Media...
“Very few firms have made changes in order to foster better retention and recruitment of female staff” One third of cyber security roles in the UK are proving difficult to fill due to a skills gap, useless vendor-accredited qualifications, and high salary demands that are “exacerbated” by wage disparity between London and the rest of the UK. This is according to research from the department for Digital, Culture, Media & Sport that found roughly 653,000 business in the UK have a basic cyber skills gap, while 408,000 businesses are experiencing issues filling advanced roles. A key issue creating these gaps is the variations in quality of accredited training. As one business cited in the report noted: “We have a lot of people who have qualifications but have no clue what they are talking about.” The fast-changing nature of cybersecurity means that academic institutions need to move and change at pace to keep relevant. To addresses DCMS suggests that these institutions establish longer work placements that are integrated into technical courses; this would give in-training cyber staff real-world experience, in-line with the skills that businesses demand. One large business stated that: “If the government could promote or endorse training, with a grading structure or criteria that people have to meet, that would be very good. If they could create a structure where private companies deliver the same quality of training, that would be really good.” DCMS Cyber Report Shows Gender and Diversity Disparity The cyber security sector in the UK is still struggling with problems of gender and diversity as only 15 percent of the workforce is female. The study ...
A FORMER West Dorset MP has been criticised for controversial comments made live on air during a radio broadcast which said ‘some autistic person’ could pose a risk to cyber security. Sir Oliver Letwin was speaking about his new book Apocalypse How? on BBC Radio 4’s Today programme when he made the comments. His new novel, set in 2037, explores our dependence on technology – and how it is leaving the UK ‘open to catastrophe.’ Speaking to Today co-host Justin Webb, Sir Oliver said: “We are not prepared for the problems we are storing up in a network always connected to a digitally controlled society and if it all goes wrong, it will go very, very wrong. “Things are getting vastly more efficient because we are moving towards, essentially, having one network. “What I picture in this book is a time when things have got to the stage where there is just one network and that has huge advantages. It also has a disadvantage which means we’re very vulnerable because if that network goes down, everything that we rely on stops. “We are making ourselves more efficient, more powerful, more wealthy; but we’re also making ourselves more fragile and more vulnerable. There are so many different ways that these networks could be attacked, either by nature or a terrorist attack, another country attacking us or, in fact, just some autistic person or some strange youth sitting in some place in the world who’s connected to our network by the internet who gets in and does something.” He called for an ‘analogue fallback’ to global networks. His comment caused a...
As the penetration testing landscape evolves and morphs; everyone seems to be “hot and heavy” on app-based testing, whether this be fuzzing a thick client or an API. One of the key things I’ve found with many clients is that they’ve gone “soft” on proper insider threat hygiene starting with network security basics. In this article, I’ll run through (2) scripts that I’ve made in Python using Scapy’s framework that can help out in many use cases: red team tunneling, purple team IOC’s, and general defender foundations. Let’s get the housekeeping out of the way: *Disclaimer* – The tools and methodologies shown in this article are for security enhancement needs, education, and experimental use. Do not run or perform any illegal, unethical, or otherwise troublesome activities that violate policies, compliance requirements, or legislation locally or internationally. Why this article?: Many newer security professionals in the field start rolling their eyes, followed with deep heavy groans when I still teach red and blue teams diligence in the network security fundamentals as well. No matter what your stance on where penetration testing, red teaming, and general security ops defense tactics are going; there is no denying that the foundations almost never change. In a recent client facing engagement; a colleague (Michael LaSalvia) and myself were tasked with an on-site pen test engagement (very rare in today’s remote ‘only’ focused type of run of the mill testing). What we found were some oversights at the network security level that our existing toolsets, and rapid Googling just did not provide. So we had to turn to making our own toolsets. This is not a full blown article on...
Canada’s Trudeau dragged into COVID-19 scam, how not to be victimized by SIM card swaps, NutriBullet hit and more. Welcome to Cyber Security Today. It’s Friday March 20th. I’m Howard Solomon, contributing reporter on cybersecurity for ITWorldCanada.com. To hear the podcast click on the arrow below: Still more COVID-19 email scams are hitting the internet. One of the latest is aimed at Canadians: The subject line reads COVID-19 Payment. The message says “Canadian Prime Minister Justin Trudeau approved an immediate check of $2,500 for those who choose to stay at home during the Coronavirus crisis. Here is the form for the request. Please fill it out and submit it. The attachment file is called “Covid19 relief.doc.” Well, of course this is a scam because the Prime Minister has not approved that payout. And if you click on that attachment you’ll be infected. Security company Check Point Software reports that since the beginning of March 93 malicious coronavirus websites have been created, and more than 2,000 suspicious ones. Lots of people are searching the internet for coronavirus news. I know I’m being repetitive, but it’s important to rely on trusted sources for information like governments, well-known health agencies and reputable news agencies rather than websites with “coronavirus” that have recently popped up. Beware of people offering COVID-19 discounts on products, especially health products. Know what? Criminals who sell malware to hackers are offering discounts on their products. So scams are multiplying. You’re taking care not to be infected with the COVID-19 virus. Make sure your computer isn’t infected as well by opening attachments. This being Fraud Prevention Month, Canada’s privacy...
Second, we can bring what is known as differentiated education — based on the idea that students master skills in different ways and at different speeds — to every student in the country. A 2013 study by the National Institutes of Health found that nearly 40 percent of medical students held a strong preference for one mode of learning: Some were listeners; others were visual learners; still others learned best by doing. Our school system effectively assumes precisely the opposite. We bundle students into a room, use the same method of instruction and hope for the best. A.I. can improve this state of affairs. Even within the context of a standardized curriculum, A.I. “tutors” can home in on and correct for each student’s weaknesses, adapt coursework to his or her learning style and keep the student engaged. Today’s dominant type of A.I., also known as machine learning, permits computer programs to become more accurate — to learn, if you will — as they absorb data and correlate it with known examples from other data sets. In this way, the A.I. “tutor” becomes increasingly effective at matching a student’s needs as it spends more time seeing what works to improve performance. Third, a concerted effort to drag education and job training and matching into the 21st century ought to remove the reliance of a substantial portion of the population on government programs designed to assist struggling Americans. With 21st-century technology, we could plausibly reduce the use of government assistance services to levels where they serve the function for which they were originally intended. Big data sets can now be harnessed...
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