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There is a burning need today for (millions! of) cybersecurity professionals who not only understand the technology but can also effectively communicate its economic implications. Students need to step up not just to build their own careers, but to solve a critical infrastructure crisis, create resilient digital economies and define the future. We are in the midst of an era of unprecedented digital acceleration. Our societies, our economies, even our security are all being more and more tied to complicated, interdependent digital systems. But take a closer look, and you'll discover there's a basic flaw hiding in the shine of this digital universe: a gaping, growing chasm in the human talent needed to protect it. It's not merely a technology issue; it's an economic crisis, an invisible infrastructure challenge, and for those ready to fill the gap – a fundamental challenge. Millions needed The World Economic Forum's Global Cybersecurity Outlook for the year puts the picture into stark relief. Cyberspace is becoming breathtakingly complicated, fueled by escalating geopolitical rivalries, the complicated mesh of global supply channels, the whirlwind velocity of up-and-coming technology and a true tsunami of patchwork regulations. We’re in the middle of a mine-filled ocean in a leaky vessel with a dwindling and inadequately trained crew. The numbers are sobering. It's estimated we have a need for millions of cybersecurity professionals worldwide – between 2.8 million and 4.8 million. Two in three organizations say their organizations are facing moderate-to-critical skills shortages, not having the talent on hand that they need for their security....
As AI models continue to strive for optimal performance, their deployability will be the real litmus test. Converting these cumbersome giants into nimble, effective and scalable solutions, model compression serves as an essential link between the research lab and the real world, making it an essential skill for any machine learning professional. The AI world has had a type of arms race for several years, particularly among researchers and lecturers. The primary aim was simple and often reiterated through leaderboard-style competitions: achieve the highest performance markers, typically precision. This relentless pursuit resulted in the creation of truly gigantic and complex deep learning models that require huge amounts of computational resources or language models with hundreds of billions of parameters. Don't let the fact that the giants make impeccable performances all the time deceive you. Here, though, the harsh realities of true deployment become evident, and real-world applicability hits a roadblock. It's one thing to make a model that does something fantastically well in a controlled lab setting and scores well on a well-curated validation set; it is an entirely different one to deploy that same exhaustive, processor-hungry model into a product that is by intent human-oriented, or worse, upon a low-powered, energy-limited edge device like a sensor or smartwatch. There is an evident disconnect between the goals of training and the requirements of true deployment. The debate is vastly different when a model crosses the gap from the controlled environment of training into the wilds of production. Raw accuracy is no longer the primary concern....
India's ambition to lead in AI hinges on urgently addressing talent, data, and research gaps. As global demand for AI talent surges, the country faces a critical shortage that could hinder its growth and innovation and ability to capitalize on the opportunity fully. As AI and macro trends enable globalization to shift from goods to services, India will also face a shortage of talent, despite being “a digital talent nation.” Underscoring the people aspect of monetizing investments in AI, a McKinsey reports points out that “employees will be the ones to make their organizations AI powerhouses. They are more ready to embrace AI in the workplace than business leaders imagine. They are more familiar with AI tools, they want more support and training, and they are more likely to believe AI will replace at least a third of their work in the near future. Now it’s imperative that leaders step up. They have more permission space than they realize, so it’s on them to be bold and capture the value of AI. Now.” Employees, according to this report, anticipate AI will have a dramatic impact on their work. Now they would like their companies to invest in the training that will help them succeed. The AI roles in demand today demand a unique combination of consulting expertise, leadership abilities, and technical proficiency. These inherently multidimensional positions are notoriously difficult to staff. Industry leaders emphasize that simply hiring AI specialists isn’t sufficient—organizations require professionals who can bridge technical mastery with strategic business acumen, prioritizing measurable organizational...
From theoretical possibility to a thriving criminal enterprise, ransomware has come a long way. Read on to know more: According to a recent survey, ransomware payments have nearly doubled $1.5 million over the past year, with the highest-earning organisations the most likely to pay attackers. These ransomware attacks, characterised by hackers encrypting sensitive data and demanding ransoms for its release, have become increasingly common and sophisticated, affecting governments, businesses, and individuals alike and posing an emerging threat to cryptocurrencies, particularly Ethereum. Figure 1: Global ransomware damage costs and forecasts; Source: World Economic Forum/The Conversation The Proliferation of Ransomware Ransomware attacks have become so frequent that they often fail to make significant headlines. However, exceptions occur, such as the May and June 2023 attack exploiting a vulnerability in the Moveit file transfer app, which garnered widespread attention due to its high-profile victims, including British Airways, the BBC, and Boots. This alarming trend is exemplified by the fact that the average ransomware payment by UK organisations in 2023 was even higher, at US$2.1 million. The National Cyber Security Centre (NCSC) in the UK thus issued new guidance in 2022, urging organisations to bolster their cybersecurity defences amid concerns of state-sponsored cyberattacks linked to the conflict in Ukraine. These attacks, frequently involving Russia, have highlighted the geopolitical implications of ransomware. Ransomware attacks can have diverse and severe financial and societal impacts, affecting various sectors, including government, healthcare, education, and small businesses. The May 2023 Dallas City Government attack, for instance, disrupted hearings, trials, and jury duty, leading to...
You want to succeed, surround yourself with the right kind of people who will support and encourage you all the way. Be with people who have utmost conviction and patience. The battle is never lost until you’ve abandon your vision. But what if you’re really exhausted physically, mentally, and most of all emotionally? Here are some sources of motivation to prompt you in reaching the peak of accomplishment. “Success is the result of perfection, hard work, learning from failure, loyalty, and persistence” Philip Reyes Let me share with you one of my favorite quotes, as stated in that quote, there are three key factors to achieve massive success in your life: Urban life in the city Never ever think of giving up. Winners never quit and quitters never win. Take all negative words out of your mental dictionary and focus on the solutions with utmost conviction and patience. The battle is never lost until you’ve abandon your vision. Martial arts figure prominently in many Asian cultures, and the first known traces. Seeing trends before they start Success needs hard work. Don’t listen to these ‘get rich quick’ schemes. You need to build your character and work hard on yourself and your business to achieve greatness. Work hard and work smart. Do the right things and do them in the right way. Don’t procrastinate. Take bold actions. Work long hours and craft your legacy. Learning from failure Successful people do not see failures as failures. They see them as important learning lessons. Lessons that are capable...
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