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IBM focuses on shortage of AI talent in IT and security


IBM has been warning about the cybersecurity skills gap for several years now and has recently released a report on the lack of artificial intelligence (AI) skills across Europe. The company said in a Friday email to SC Media that cybersecurity has been experiencing a significant workforce and skills shortage globally, and AI can offer a crucial technology path for helping solve it. "Given that AI skillsets are not yet widespread, embedding AI into existing toolsets that security teams are already using in their daily processes will be key to overcoming this barrier," IBM stated in the email. "AI has great potential to solve some of the biggest challenges facing security teams -- from analyzing the massive amounts of security data that exists to helping resource-strapped security teams prioritize threats that pose the greatest risk, or even recommending and automating parts of the response process." Oliver Tavakoli, CTO at Vectra, said the potential of machine learning (ML) and AI materially helping in the pursuit of a large set of problems across many industries has created an acute imbalance in the supply and demand of AI talent.

A.I. Adoption Opens More Doors to Cybersecurity Jobs


Artificial intelligence (A.I.) isn't quite ready to take over the world, but it's moving a step closer. A recent survey released by Morning Consult and IBM finds that the COVID-19 pandemic, coupled with the continuing need to automate manual tasks and cybersecurity, has pushed more organizations to adopt A.I. technologies. The Global AI Adoption Index 2022 report, which is based on questions sent to approximately 7,500 IT leaders across the globe, finds that 35 percent of organizations surveyed are deploying A.I. today; another 42 percent are "exploring" these technologies. The study added that A.I. adoption was up four percentage points compared to a previous report released in 2021. As with many other cutting-edge technologies, the survey found that COVID-19 played a significant role in increasing A.I. adoption, as companies looked to automate certain tasks as a way to overcome tech skill gaps (as well as some of the labor shortages associated with the pandemic).

7 sure-fire ways to fail at data analytics


Data analytics has emerged as one of the most important business and technology differentiators for organizations, giving them the power to draw keen insights about virtually any aspect of their operations and thereby gain an edge on the competition. Research firm Gartner earlier this year predicted that 2017 would be the year data and analytics go mainstream, creating value both inside and outside organizations that have prepared for the shift. Approaches to data analytics are becoming more holistic and encompassing the entire business, the firm says.

Signal classification using weighted orthogonal regression method Artificial Intelligence

In this paper, a new classifier based on the intrinsic properties of the data is proposed. Classification is an essential task in data mining-based applications. The classification problem will be challenging when the size of the training set is not sufficient to compare to the dimension of the problem. This paper proposes a new classification method that exploits the intrinsic structure of each class through the corresponding Eigen components. Each component contributes to the learned span of each class by specific weight. The weight is determined by the associated eigenvalue. This approach results in reliable learning robust in the case of facing a classification problem with limited training data. The proposed method involves the obtained Eigenvectors by SVD of data from each class to select the bases for each subspace. Moreover, it considers an efficient weighting for the decision-making criterion to discriminate two classes. In addition to high performance on artificial data, this method has increased the best result of international competition.

Smart machines v hackers: How cyber warfare is escalating - BBC News


There is a gaping hole in the digital defences that companies use to keep out cyber thieves. The hole is the global shortage of skilled staff that keeps security hardware running, analyses threats and kicks out intruders. Currently, the global security industry is lacking about one million trained workers, suggests research by ISC2 - the industry body for security professionals. The deficit looks set to grow to 1.8 million within five years, it believes. The shortfall is widely recognised and gives rise to other problems, says Ian Glover, head of Crest - the UK body that certifies the skills of ethical hackers.