Artificial intelligence (AI) and blockchain are two of the most-talked-about technologies of the past 10 years, and their evolution has led to significant and promising innovations. The idea of combining them is particularly intriguing.
The profit potential for these two technologies is forecast to be in the billions for the foreseeable future. Gartner, a global technology research firm, estimates that the business value created by AI will near $3.9 trillion in 2022, while some anticipate the blockchain market will be worth roughly $23 billion by 2023.
The drivers behind this tremendous predicted growth are increased adoption, as well as the potential use cases that have been emerging across both sectors. AI, which is technically not a new technology, has taken on a prominent role in the tech world over the past two years. While we are still far from fully thinking machines, AI has been deployed in everything from marketing and sales to manufacturing and even health care. The technology has become a crucial part of most businesses’ plans moving forward. Read More
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Is The Future Of Artificial Intelligence Tied To The Future Of Blockchain?
Since the beginning of modern times, each industrial revolution was driven by different automation. While factory machines and fossil fuels drove the previous industrial revolutions, the on-going automation revolution is based on data-driven artificial intelligence (AI). Understanding its impact and what will be required to support the AI-driven automation revolution is a fundamental necessity.
So, as we evaluate the impact and the support needed to harness this automation revolution, it seems that at the center of this revolution is the growing need for computing power. There are indicators that raw computing power is on its way to replacing fossil fuels and will be the most valued fuel in the rapidly emerging intelligence age. From where we are to where we want to reach in our intelligence automation journey, further advances in artificial intelligence require enormous amounts of computational power. Read More
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