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Our clients seem to be moving from discussing AI to actually hiring new talent with AI skills. Most of the roles I see focus on utilizing AI to drive efficiency and accuracy in the business. I am sharing an interesting article about AI job trends in 2024. #AI #Jobs

What Is an AI Engineer and How to Become One in 2024? Artificial Intelligence (AI) stands as a Monumental Advancement, Reshaping our World with every passing moment. At the Core of this Revolution lies AI Engineering, a Discipline that Combines the Intricacies of Computer Science with the Agility of Human-like Reasoning. Artificial Intelligence possesses vast potential to enhance and streamline various tasks traditionally performed by humans, such as Speech recognition, Image processing, business process management, and even disease diagnosis. AI is not merely a futuristic concept from Science Fiction, It is a practical, powerful tool transforming how we process, analyse, and leverage information, thereby revolutionizing decision-making processes across various sectors and AI Engineer are a Significant Part of it. https://lnkd.in/gvGemZnz #Hiring #Jobs #AI #ML #AIJobs #MLJobs #AImployed #Machinelearning #AImployedLaunch #AIRevolution #FutureOfWork #AIJobs #CareerDevelopment #TechCommunity #JoinUs #UnlockYourPotential #AIEngineering #TechInnovation #DataDriven #AIInnovation #DigitalTransformation #TechLeadership #TeamCollaboration #AIPrototyping #GrowthConsultancy #TechCareer 

It looks like figures confirm the prediction of the transformative effect of AI for the job market. Some of these effects are already visible in certain sectors. Software engineers and data scientists roles are smoothly transitioning to other profiles loosely linked to AI. Yan LeCun has a specific view on AI taking over. His main idea is that people who are afraid of AI are haters. They do not trust in AI like they do not trust humans. Lovers, are not afraid of AI. They trust other humans or, their first feeling is not beware or distrust. They believe in the good side of humanity. Coincidentally, the haters of AI are the super-rich and those who own the monopoly of markets. Their objective is to perpetuate their monopoly. They perceive the development of AI as a threat to the status quo or, if engaged in AI, they want AI services to be sold for a price or fee while those who trust want an open source AI freely accessible to everyone. #artificialintelligence #agi

AI guru Ruben Hassid says "Master AI before it masters you." 💡 To succeed in this competitive market, where AI is more than a buzzword, it's essential to understand the real game-changers behind the scenes - AI engineers. The true power isn't just in the numbers, it's in the expertise. Our insight-packed article goes beyond the surface, pointing out their crucial skills and responsibilities. Why does this matter for your business? Because mastering AI isn't just about deploying technology. It's about understanding the people who create and shape it. We've seen it time and again. Companies fixated on AI as a concept, missing out on leveraging the full potential of their AI talent. If AI is part of your strategy, it's time to shift focus. Dive into our latest blog post. Learn what sets apart a truly impactful AI team. When it comes to AI, it's not just about the tech. It's about people. 👉 https://lnkd.in/dDmYv_uh #hivex #ai #aiengineering #artificialintelligence #jobdescription

AI is creating new roles like prompt engineering (the process where you guide generative artificial intelligence (generative AI) solutions to generate desired outputs). Our CTO Tony Lee shares his views with Joe McKendrick at ZDNET

AI Jobs with Good Pay You probably thought AI was taking it all away. However, the current trends begin to show that there is much that meets the eye. Here is a list of AI jobs with hefty pay checks. Check it out so you can begin to plan on how to upskill and acquire new skills to ensure you remain relevant in the market. #AIjobs #artificialintelligenceforbusiness #artificialintelligencetechnology https://lnkd.in/d63M-FuS

A Transformative Future Awaits Introduction The advent of artificial intelligence (AI) has ushered in a new era of technological innovation that is reshaping industries and the labor market as we know it. While AI promises increased efficiency, improved productivity, and countless benefits, it also raises concerns about the potential displacement of human jobs. This article explores the profound impact of AI on the job market, examining the roles that are at risk of being replaced and the opportunities for adaptation and growth. The AI Revolution Artificial intelligence is not a recent concept, but recent advancements in machine learning, deep learning, and natural language processing have propelled AI to new heights. These technologies allow machines to analyze vast datasets, make complex decisions, and perform tasks that were once exclusively within the realm of human capabilities. As AI continues to evolve, it is poised to disrupt a wide range of industries. Jobs at Risk Manufacturing and Routine Tasks: The manufacturing sector has already witnessed a significant transformation, with AI-powered robots taking over repetitive and dangerous tasks. Assembly line jobs and routine factory work are being automated, reducing the need for manual labor. Customer Service and Support: Chatbots and virtual assistants have become increasingly sophisticated, offering 24/7 support and assistance. This threatens jobs in call centers and customer service roles. Data Entry and Analysis: AI algorithms can analyze vast amounts of data more efficiently than humans, potentially replacing jobs in data entry, data analysis, and research. Transportation and Delivery: Self-driving vehicles are on the horizon, which could disrupt the job market for truck drivers, delivery personnel, and taxi drivers. Banking and Finance: AI is being used for algorithmic trading, fraud detection, and even financial advisory services, which could impact jobs in the finance sector. Healthcare: AI-powered diagnostic tools and robotic surgery systems are becoming more prevalent, potentially affecting roles for radiologists, pathologists, and even surgeons. Adaptation and Opportunities While it is true that some jobs are at risk of being replaced by AI, the technology also creates new opportunities and the potential for the workforce to evolve. Here are some ways individuals and industries can adapt: Upskilling and Reskilling: As AI replaces certain roles, there is a growing demand for professionals who can design, develop, and maintain AI systems. Learning AI-related skills, such as machine learning, data science, and AI ethics, can open up new career paths. https://lnkd.in/gUYah5uG

Great Read! 👀 According to this CTech article by Calcalist, there's a growing demand for AI experts. The rapid advancements in technology have led to a shortage of machine learning engineers and developers. Additionally, AI researchers are in high demand and will continue to be so. Both technical and social-emotional skills are essential in this field. Therefore, ongoing training is crucial to attract and retain talent, and organizations should focus on upskilling their current employees to prepare for this advanced technological era. #ai #aidemand #techskills #machinelearning #airesearch #upskilling #techtraining #futureofwork #techinnovation #techindustry #aiexperts #talentretention #aiandml #workforcedevelopment https://lnkd.in/eT9q3M_R

We hear leaders say that AI won't replace your job - people who know how to use AI will - but looking at the situation realistically, AI poses a risk to some roles being automated. Take a look at Android Authority's recent article to check out which ones they think are at risk. #ConsultisExcellence #AI #Automation #TechJobs

Top Challenges to Enterprise AI Adoption: - Lack of AI expertise and talent: Implementing AI often requires specialized skills and knowledge that may not exist in-house. Hiring AI talent can be difficult and expensive. - Data challenges: AI models need large, high-quality, well-organized datasets to train on. Many companies struggle to consolidate data sources and prepare data for AI use. - Explainability: It can be difficult to understand how complex AI models like deep neural networks arrive at their outputs. Lack of model explainability makes it hard to troubleshoot or audit AI. - Integration difficulties: Incorporating AI into existing processes and IT systems can require substantial software engineering and infrastructure changes. Seamless AI integration is tough. - Organizational resistance: Adopting AI can require changes in processes and workforce management that some may resist. Overcoming organizational inertia and culture issues poses barriers. - Unclear ROI: Quantifying the return on investment from AI and justifying the costs can be hard upfront, making it difficult to secure buy-in and budget. #artificialintelligence #datasecurity #ai https://lnkd.in/g9bKnips