Artificial intelligence (AI): today and tomorrow – Hacker Noon

Some small companies and startups have been founded on the grounds of AI itself. Some other bigger firms and even Fortune 500 companies have decided to shift their activity by implementing AI in their current products and services.

Examples of this can be found in the tech giants of Apple, Amazon and Google.

Apple announced for the first time that it was going to move its first steps into AI by the end of 2016. This has been done, for example, with the research on techniques for images and handwriting recognition.

Amazon, on his side, has long benefited of the Artificial Intelligence algorithms to grow even more its e-commerce empire by making targeted and differentiated purchase recommendations.

In the end, Google has applied AI in many of its products, from Google Translate to TensorFlow, a library of files, announced in 2015, that facilitates computers decisions by breaking down the amount of data it stores.

What to expect from Artificial Intelligence, in this 2018?

It seems that it will affect our lives in even more tangible ways compared to what has been done until now.

Artificial Intelligence algorithms analyze quantities of data that until now had been represented a big concern for human beings, because very hard to examine in a fast and accurate way, avoiding major mistakes.

For this reason, the finance industry is one of the fields that has been benefitting the most from the advances that have been accomplished in this discipline, and seems to be full of potential for greater achievements in the nearest future.

As a matter of fact, very few industries are better suited and more promising for Artificial Intelligence application than finance, due to the extremely quantitative nature of this world and to the large amount of historical data that it presents.

Machine Learning, a specific branch of Artificial Intelligence, has been particularly useful in fraud detection, being able to successfully spot suspicious activities and behaviors, flagging them for security teams to monitor and analyze them.

Artificial Intelligence, also, has been predominant in training “robo-advisors”, algorithms that can calibrate a detailed financial portfolio according to the input that users give, stating their goals and risk tolerance.

In the nearest future, AI will be playing a key role in other aspect of the financial reality: it will improve banks’ customer service and conversational interfaces, it will strengthen data security and it will provide even more accurate data analysis.

For what concerns the trading activity, AI can be disruptive and beneficial for many different reasons.

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