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Core technologies in AI
Core Technologies are the building blocks of technology systems. Investing in artificial intelligence may feel like taking a chance on the unknown. Artificial intelligence (AI) concepts can vary from futuristic to outright fantastical. Yet, when you break down AI and look at the key technologies that power it, consider what they can deliver today and what they can deliver tomorrow, it becomes clear how AI is transforming the world around us. These details make AI an investment opportunity that should not be overlooked.
The pillars on which AI is founded are the five core technologies of AI. Computer vision, machine learning, natural language processing, robotics, and deep learning are all transforming the future of different industries. AI makes it easier to build a next-generation workplace that thrives on seamless collaboration between enterprise systems and individuals. As a result, human resources are not rendered obsolete; rather, new technology augments their efforts. AI allows organizations to free up resources to focus on higher-level tasks.
The following are the primary advantages of AI:
- AI reduces the time it takes to complete a task. It allows for multitasking and lightens the burden on existing resources.
- Artificial intelligence (AI) facilitates the execution of previously complex tasks without incurring excessive costs.
- AI is available 24 hours a day, seven days a week, with no downtime.
- AI can benefit those who are differently abled.
- AI has a wide market potential and can be used in several industries.
- Artificial intelligence (AI) speeds up and improves decision-making.
There’s virtually no major industry modern AI — more specifically, “narrow AI,” which performs objective functions using data-trained models and often falls into the categories of deep learning or machine learning — hasn’t already affected. Modern AI — more precisely, “narrow AI,” which performs objective functions using data-trained models and sometimes falls into the categories of deep learning or machine learning — has already impacted nearly every major industry. This is especially true in recent years, because due to robust IoT connectivity, many connected devices and an ever more rapid computer treatment the data collection and analysis has grown considerably. Some industries are just getting started with AI, while others are seasoned veterans. Both have a lot of work ahead of them. Regardless, the effect of artificial intelligence on our daily lives is difficult to ignore.
With companies spending nearly $20 billion on AI products and services per year, tech giants including Google, Apple, Microsoft, and Amazon investing billions to develop those products and services, universities making AI a more prominent part of their respective curricula (MIT alone is investing $1 billion in a new college devoted solely to computing, with an AI focus), and the US Department of Defense investing billions, AI is becoming a more prominent part of their respective curricula. Some of these advancements are well on their way to being fully developed, while others are merely theoretical and could remain so in the future. All are destructive, for better or worse, and there is no sign of a slowdown in sight.
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