Artificial Intelligence (AI)

The emergence of artificial intelligence (AI) played an important role in leading the Fourth Industrial Revolution. According to the World Economic Forum, "It is confusing all industries in almost all countries."

"We are on the verge of a technological revolution that revolutionizes our lives, work and connection, and in terms of scale, scope, and complexity, what changes have been experienced so far Different. "- Global economy of Geneva Klaus Schwab, founder and executive chairperson of Forum

Artificial intelligence is a collection of concepts and technologies that means different things for different people - posing as an automobile, a human robot, etc. - its application is everywhere. The general definition of AI is as follows.

AI is a computer system that can perform tasks that normally require human intelligence. These artificial intelligence systems are enhanced by machine learning. Many of them are driven by machine learning, some of which are driven by special deep learning, some of which are moved by very boring things such as rules.

Artificial intelligence systems are important for companies wanting to extract value from data by automating and optimizing processes, or generating practical insight. With an artificial intelligence system that leverages machine learning, enterprises can use massive amounts of available data to discover insights and patterns that no one can combine, to provide more specific, individualized communications, Predict monitoring events, possible illegal transactions etc.

Almost all other industries, such as manufacturing, retail, transportation, finance, healthcare, law, advertising, insurance, entertainment, education, etc. transform the core process, the influence of artificial intelligence will expand in the next decade. Business model utilizing learning "

Retail, marketing, healthcare, financial technology, insurance, and other industries will benefit from artificial intelligence and machine learning

Data insight driven companies will receive $ 1.2 trillion annually from driven companies that are not insight by 2020.

The foundation of DataRobot is to enable all companies to use the new artificial intelligence and machine learning technology, regardless of size or resources. That's why we invented automated machine learning, allowing users of all skill levels to build and deploy machine learning models quickly and easily without requiring complicated programming and mathematics.

Since DataRobot believes in democratization of artificial intelligence, we developed a platform that enables business users throughout the organization to gain practical and practical insight to provide concrete business value. With DataRobot, users throughout the enterprise can access AI functions and turn organizations into AI led enterprises.

A new field of distributed artificial intelligence (AI) is becoming one of the most exciting technology trends in the past few months. The potential value of the intersection of artificial intelligence (AI) and block chain technology is written many times, and this year we have even a meeting devoted to topics of distributed artificial intelligence. However, many propaganda behind distributed artificial intelligence do not highlight some of the important value propositions of the new technology movement, which is one of the most basic technical trends of the decade It may become one. I believe that decentralized artificial intelligence will be an important factor in leading machine intelligence to descendants if you believe that artificial intelligence will become an increasingly influential factor in our lives. Does it sound dramatic? Let's look at some of the economic dynamics behind distributed artificial intelligence.

Welcome to the first of the 5 series series on AI and AI - Use the actual intelligence (ai) to fight the hype of artificial intelligence (AI) by the government. This week we will examine how the Canadian government uses artificial intelligence (AI) and existing or newly emerging information management and information technology (IM - IT) governance framework address artificial intelligence challenges I will explore how to do it. This is the easiest category for Canadian public and at the beginning it will be the most controversial category. Of course, harmless uses such as chat bots and automatic responses are only useful for most user experiences. As Canadian digital services drives the Canadian government to promote more modern service delivery, the AI ​​user support function will be the standard front line model