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  • Artificial Intelligence (AI) and Machine Learning

     Raghav1996 updated 1 month, 1 week ago 2 Members · 2 Posts
  • Japo_Japo

    September 3, 2021 at 9:38 am

    Artificial Intelligence, or AI, has generated a lot of hype over the last decade, but it remains one of the newest technology trends since its significant effects on how we live, work, and play are still in their infancy. AI is already well-known for its supremacy in picture and speech recognition, navigation apps, smartphone personal assistants, ride-sharing apps, and a wide range of other applications.

    Aside from that, AI will be used to analyze interactions in order to uncover underlying connections and insights, to predict demand for services such as hospitals, allowing authorities to make better resource allocation decisions, and to detect changing patterns of customer behavior by analyzing data in near real-time, resulting in increased revenues and personalized experiences.

    By 2025, the AI market will be worth $190 billion, with global spending on cognitive and AI systems exceeding $57 billion in 2021. New opportunities will be created in development, programming, testing, support, and maintenance, to mention a few, as AI spreads across sectors. AI, on the other hand, pays some of the highest incomes today, with rates ranging from over $1,25,000 per year (machine learning engineer) to $145,000 per year (AI architect), making it the top new technology trend to keep an eye on.

    Machine Learning, a subset of AI, is being used in a wide range of businesses, resulting in a high demand for qualified workers. According to Forrester, AI, machine learning, and automation will generate 9% of new employment in the United States by 2025, including robot monitoring professionals, data scientists, automation specialists, and content curators, making it yet another new technology trend to be aware of!

  • Raghav1996

    January 20, 2022 at 6:28 am

    Artificial Intelligence (AI) is being integrated into enterprise planning (ERP), customer relationship management (CRM), intelligence (BI), cybersecurity, and analytics.

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