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artificial intelligence and machine learning


How Square Is Using Artificial Intelligence and Machine Learning to Improve Cash App

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Today, I continue my top-AI-stocks video series. If you are new to this series, it covers my top 12 artificial intelligence stocks focused on growth and disruptive innovation. I have done my best to find the highest-growth companies in a variety of sectors with disruptive growth trends. Last time, I shared my favorite chatbot stock. In today's video, I am covering an unknown business that Square (NYSE:SQ) acquired in 2020 that focuses on artificial intelligence and machine learning.


How Square Is Using Artificial Intelligence and Machine Learning to Improve Cash App

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Square acquired this Toronto-based AI technology firm that helps combat deepfake AI cybercrime.



AI-Powered Tools In Software Development

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Artificial intelligence tools are increasingly being used in software development, given the rapid advances in artificial intelligence in recent years. Machine learning technology has come a long way to become a popular computer algorithm now. As companies strive to use the best artificial intelligence software in their internal processes, competition between market leaders is fiercer than ever. However, the use of AI-powered tools in software development can also be a game-changer for your business. In this article, we will introduce you to AI-powered tools in software development, which are becoming more and more popular.


How Artificial Intelligence Will Help You Protect Your Client Data

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The problem of cyber attack has been on the rise in the present-day digital economy. If you are conversant with the issues that have bedeviled businesses from gaining traction and achieving their objectives and goals, one of the big issues that has impeded the growth of businesses is cybercrime. Cybercrime is an act whereby unscrupulous individuals like internet fraudsters and data hackers have unflinching access to the database of a company without any restriction. If you operate a business in this digital age, there are ways that you can address the problem of data breaches regardless of the industry. Despite stringent norms, as well as high-powered government regulations that the government has put in place to discourage data theft, data protection is still a huge challenge for most businesses operating in the gig economy.


How does Quora use Artificial Intelligence and Machine Learning?

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Quora is an attractive website that appears like a duet of a program that uses artificial intelligence, data science, and machine learning. It's a simple concept where you can answer the questions asked by others on your favorite topic and vice versa. Lately, the usage of artificial intelligence and machine learning at Quora has grown a lot. It has not only gone deeper with bigger and better models for existing AI and machine learning applications but also has expanded the set of areas where AI and machine learning get used. So how does Quora use artificial intelligence and machine learning?


Top Use of Artificial Intelligence and Machine Learning in Financial Scams

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Machine learning refers to analytic techniques that "learn" patterns in datasets without being guided by a human analyst. Artificial intelligence refers to the broader application of specific kinds of analytics to accomplish tasks, from driving a car to, yes, identifying a fraudulent transaction. For our purposes, think of machine learning as a way to build analytic models and AI as the use of those models. Machine learning helps data scientists efficiently determine which transactions are most likely to be fraudulent, while significantly reducing false positives. The techniques are extremely effective in fraud prevention and detection, as they allow for the automated discovery of patterns across large volumes of streaming transactions.


Becoming Future Flexible - 4 Key Tech Investments for Retail Banking in 2021

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These are the 3 pillars behind the 4 key technology investments that can catalyse retail banking today – and in so doing, provide the foundation to build for digital agility well into the future. This piece considers the role of Artificial Intelligence and Machine Learning, Cyber Security, 5G and Edge Computing (MEC) and Safety Technology. And the integrative array of benefits afforded is vast, including real-time personalised consumer insights, 360 degree data visibility, embedded zero trust security, enhanced organisational and network efficiency, and enhanced safety. As a result, this builds consumer (and employee) trust, confidence, experience and loyalty. But what has sparked the need for transformation?


How Does Artificial Intelligence Help In Cyber Security Threat Detection? - ONPASSIVE

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The world is transforming into a digital environment at an unprecedented rate, and the transformation will only accelerate. Everything – business, entertainment, trends, new goods, etc. is moving at breakneck speed due to digitalization. Because the service provider has the resources to provide, the customer receives what they want right away. While the advantages and benefits of the digital age are numerous, it also has several drawbacks. One of the most severe and damaging risks it poses is that our personal information is now more vulnerable than ever.


Difference between Artificial Intelligence and Machine Learning

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Due to the emerge of big data, AI (Artificial Intelligence) gain a lot of popularity in a modern days, people uses the term AI and ML (Machine Learning) interchangeably, however, in fact both terms refer to different thing. AI is the computer program which can be able to perform task that usually required human intelligence. ML is the ability that allow computer program to learn by itself without explicitly program. The example of "learning without explicitly programed" would be to teach children to do basic addition between 2 numbers of input. We do not want them to memorize the answer for all possible combination of 2 input numbers (1 1 2, 1 2 3,…, 100 1 101, 100 2 102, …, 99999999…0 1 99999999…1 … that would be a lot!).