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Upskilling from Software Development to AI

In this world of growing technology, it is now essential more than ever to upskill oneself. Advancing technologies like Artificial Intelligence, Machine Learning and Data Science are on the rise.

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Upskilling from Software Development to AI

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  1. UPSKILLING FROM SOFTWARE DEVELOPMENT TO ARTIFICIAL INTELLIGENCE

  2. It's an exhilarating experience to get into the technology industry. Not only are advanced technologies like Artificial Intelligence and Machine Learning, and Data Science undergoing transformations, but so are new transactional foundations like blockchain and the way software is developed and deployed. Many current competencies may become obsolete in the near future. While traditional IT jobs are being lost, new age technologies are creating new ones for which Masters in Artificial Intelligence would be the best option to go for. future jobs will necessitate completely different skill sets, primarily driven by AI and Machine Learning (AIML), Industry 4.0, Digital Transformation, Augmented Reality-Virtual Reality (AR-VR), Blockchain, the Internet of Things (IoT), and other such intertwined technologies.

  3. Sundar Pichai, the CEO of Google, recently stated, "AI is perhaps the most significant project humanity has ever undertaken. It's something deeper than electricity or fire, in my opinion." AI applications are swiftly becoming mainstream, and as the market matures, demand for AI-skilled technologists is increasing. Despite the abundance of stock photographs depicting robots that resemble humans working at computers, AI occupations won't appear all that different from current jobs and will be commonplace. Soon, almost every industry, including the public and private sectors, will be using AI, creating a wide range of job opportunities for people who are interested in this field. AI jobs will be accessible in cities all over the world in the financial, healthcare, manufacturing, and other sectors.

  4. What are these jobs, exactly? The most sought-after AI positions at the moment, according to a TechRepublic report, are: • Data scientist • Software engineer • Machine learning engineer • Software architect • Data analyst The AI wave is coming. If you’re concerned that your current IT skillset will soon be irrelevant—and your job too—it’s time to consider your options. As you can see by the job list above, those already working in IT have a definite advantage when it comes to emerging technologies and new job creation, because they have a solid foundation to build upon.

  5. Since 2013, the number of jobs requiring AI capabilities has quadrupled, indicating increased acceptance of AI applications that fuel industry growth. And the potential influence in this developing field is enormous. According to Accenture research, Artificial Intelligence (AI) has the potential to double annual economic growth rates by 2035 by changing the nature of work and establishing new relationships between man and machine. A Masters in Artificial Intelligence will boost labour productivity by up to 40% and allow people to make better use of their time.

  6. Software Development Technology, languages, and processes are changing far too quickly to be ignored. Giving your development teams the opportunity to master these key skills demonstrates your commitment to keeping them on the leading edge and preparing them for future job. A key question is where can we expect job growth, and how can the IT industry reskill its employees. AI has three main components:1. Understanding of business2. Technology3. Al and ML algorithms

  7. Instead of focusing on Moon Shot projects, business awareness allows organisations to ask the correct questions and select significant projects. It is easier for IT companies to get projects if they show subject competence. There are close to 109000 Artificial Intelligence personnel working in India across enterprises and sectors – this represents a 20% jump in personnel from last year, and the median salary of the AI personnel is INR 14.3 Lakhs. Knowledge of Artificial Intelligence and Machine Learning combined with sectoral knowledge is what generates revenue, therefore training the workforce in AI as well as applications across sectors will boost the IT industry.

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