Companies Preferences on Artificial Intelligence (AI) Jobs position and other Skillsets
In Today’s era, every company is moving towards AI. Overall 10% of job opportunity is present in the AI sector as per market research.
The people who are losing jobs have different skills, they are going away. People are getting new jobs on different skill sets, Mitta Said.
Intel has started initiatives to teach AI in schools, said Mallya. As per Him, training skills outside the industry requires a collective ecosystem and efforts across different companies. To develop AI-ready talent, Intel India has trained more than 1,50,000 developers, students, and professors since 2017. The global opportunity of AI was estimated at about $15.7 trillion by 2030. We need to categories where you need most right, and what kind of jobs will get created, said das of Wipro. There are many giant companies that are working on different AI projects such as Nvidia, Google, Amazon, Facebook, Intel, Microsoft, OpenAI, Nauto, Tempus, Zoox, etc.
AI in marketing is already prevalent, and you probably interact with AI on a daily basis. Here are some ways you interact with AI 1. Search Engine Like Google uses AI(algorithms and Rankbrain) to determine the most appropriate result for the search . 2. Alexa from Amazon, Google Home, speech recognization in mobile phones, etc are some common AI products. 3. Automated marketing emails use AI to figure out what emails to send based on how youíve interacted with a business or website. 4. Various types of online ads use AI to determine who should see a specific ad, based on past behavior, interests and search queries. Artificial intelligence uses machine learning to mimic human intelligence. The computer has to learn how to respond to certain actions, so it uses algorithms and historical data to create something called a propensity model. AI can do much more than this, but those are common uses and functionality for marketing. And while it might seem like the machines are ready to rise up and take over, humans are still needed to do much of the work. Mainly, we use AI to save us time ó adding people to email automation and allowing AI to do much of the work while we work on other tasks.