Artificial intelligence (AI) signals the beginning of a revolutionary period where technological advancement and social change interact to completely reshape economies, work paradigms, and industries worldwide. This essay addresses the opportunities and problems brought about by the AI-driven economy as it examines the effects of AI disruption on the IT sector and information technology education. By comparing the current AI revolution to previous industrial revolutions, we investigate the significant effects of AI technologies on workforce dynamics, employment, and organizational procedures. Human-centered design principles and ethical considerations become crucial requirements for the responsible development and implementation of AI systems in the face of the field's rapid advancements. IT education programs must change to meet the changing demands of the AI era and give students the skills and competencies they need to succeed in a digital world that is changing quickly. In light of AI-driven automation, we also examine the possible advantages and difficulties of moving to a shorter workweek, emphasizing chances to improve worker productivity, well-being, and work-life balance. We can build a more incslusive and sustainable future for the IT industry and beyond, enhancing human capabilities, advancing collective well-being, and fostering a society where AI serves as a force for good by embracing the opportunities presented by AI while proactively addressing its challenges.

"How did you go bankrupt?" "Two ways," answered Mike, "Gradually, then suddenly." The very same story describes how major industry disruption usually happens--gradually, and then suddenly. For board members and other industry leaders, being on the right side of such disruption typically requires looking years ahead. But with the release of ChatGPT in November, 2022, OpenAI "suddenly" and shockingly threatened to overthrow Google's hitherto total dominance of internet search.

I'm bringing you all some of the AI-related news and developments I found most interesting over the past week. Read on to learn more about neural networks, a cooperative AI infrastructure, AI crypto trading bots, and AI/human visual processing. A team of researchers at Los Alamos National Laboratory has developed a novel approach for comparing neural networks. According to the team, this new approach looks within the "black box" of artificial intelligence, and it helps them understand neural network behavior. A team of scientists at Incheon National University in South Korea has designed a cooperative infrastructure for artificial intelligence (AI)-assisted aerial and ground operations by using UAVs and mobile robots.

Hear from top leaders discuss topics surrounding AL/ML technology, conversational AI, IVA, NLP, Edge, and more. Critics say the age of AI is still far off, or even that the term "AI" is a fraud. The truth is, AI is already radically transforming our world behind the scenes. To be sure, no business has managed to replicate true human intelligence in a machine just yet. AI disruption is already here, even if we don't notice it In fact, many businesses are facing a key turning point in AI adoption.

Within the next decade, the world will see a major disruption of the workforce due to advances in artificial intelligence (AI) technology. According to a McKinsey Global Institute report, 375 million workers, or about 14 percent of the global workforce, may be required to shift occupations as digitization, automation, and AI technologies start to take over the workspace. In a separate 2018 report by the Organization for Economic Cooperation and Development (OECD), half of the global workforce is expected to be impacted one way or another by machine-learning technologies. AI technology will be at the forefront of the Fourth Industrial Revolution, and it will prove to be a far greater challenge than the ones that preceded it. If the world does not prepare, robots and technology could cause mass unemployment.

According to data from PitchBook, the funding for AI deals has continued its furious pace. In the latest quarter, the amount invested came to a record $31.6 billion. Note that there were 11 deals the closed more than $500 million. Granted, plenty of these startups will fade away or even go bust. But of course, some will ultimately disrupt industries and change the landscape of the global economy.

Venture Capital concept image with business icons and copyspace.For more variation of this image ... [ ] please visit my portfolio According to data from PitchBook, the funding for AI deals has continued its furious pace. In the latest quarter, the amount invested came to a record $31.6 billion. Note that there were 11 deals the closed more than $500 million. Granted, plenty of these startups will fade away or even go bust. But of course, some will ultimately disrupt industries and change the landscape of the global economy.

Artificial intelligence is rapidly evolving from a futuristic technology to one that embraces us in our daily lives. AI is displacing people, whether it is through moving employment to more productive activities or by automating the menial work. Such debates are certainly significant, but they overlook the greater transformational tale. After all, digital transformation occurs at all levels of organizations and industries. Let's take a look at the industries which are likely to get affected by AI Disruption.

Every department in a company has its own challenges. In the case of Human Resources, recruitment and onboarding processes, employee orientations, process paperwork, and background checks is a handful and many a time painstaking – mostly because of the repetitive and manual nature of the work. The most challenging of all is engaging with employees on human grounds to understand their needs. As leaders today are observing the AI revolution across every process, Human resources is no exception: there has been a visible wave of AI disruption across HR functions. According to an IBM's survey from 2017, among 6000 executives, 66% of CEO's believe that cognitive computing can drive compelling value in HR while half of the HR personnel believe this may affect roles in the HR organization.

Every department in a company has its own challenges. In the case of Human Resources, recruitment and onboarding processes, employee orientations, process paperwork, and background checks is a handful and many a time painstaking – mostly because of the repetitive and manual nature of the work. The most challenging of all is engaging with employees on human grounds to understand their needs. As leaders today are observing the AI revolution across every process, Human resources is no exception: there has been a visible wave of AI disruption across HR functions. According to an IBM's survey from 2017, among 6000 executives, 66% of CEO's believe that cognitive computing can drive compelling value in HR while half of the HR personnel believe this may affect roles in the HR organization.