Artificial intelligence (AI) has become a well-known word across multiple businesses in recent years. AI is so popular that the International Data Corporation expects global spending on AI systems will grow from $35.8 billion in 2019 to $79.2 billion in 2022.

As leading tech companies continue to show interest in AI investment, users will continue to see the technology become increasingly integrated into more and more products and applications.

While AI technology has seen useful adaptations in the healthcare, education, and finance sectors, it’s the mobile app development industry that provides one of the most promising areas for AI.

The…


Retail giants like eBay and Amazon have already proved the success potential of AI mobile apps. With new advancements in technology and shifting consumer demands, AI mobile app development is the new digital frontier for enterprises.

The major tech companies are integrating these AI algorithms into various products to strategically secure users further into their brand ecosystems.

The technology helps businesses deeply engage users, providing more incentive to use their services, such as Amazon’s Prime delivery service that pairs well when using the Echo.

To Know About: How Do I Get Into AI Development? Where Do I Start?

Many devices…


Artificial intelligence in retail is being applied in new ways across the entire product and service cycle — from assembly to post-sale customer service interactions, but retail players need answers to important questions:

Which AI applications are playing a role in the automation or augmentation of the retail process? How are retail companies using these technologies to stay ahead of their competitors today, and what innovations are being pioneered as potential retail game-changers over the next decade?

In this article, we cover a variety of examples in which AI is being integrated with the retail industry, broken down into the…


What are Intelligent Mobile Apps?

Intelligent mobile applications are essentially AI compatible applications, providing a customized, personalized, and rich user experience. These applications combine Predictive Analytics and Standards, the latest technologies, customer information, and functional information with the latest design tools and application user-centric development technology to create an experience for the high-end user.

AI trends allow developers to automate mobile application development nd take advantage of technical features such as ad-powered content, productivity application, automated reasoning, image recognition, etc. AI mobile development has allowed companies to lead their customers to provide services before leading and implementing the brand.

The…


How much does it cost to develop an ai learning app like Socratic
This blog will guide you about the development cost of the Socratic ‘Ai educational application, its features, and functionality. So, let’s get started.

About

Socratic is an educational application developed and developed by Chris Pedregal and Shreyans Bhansal in New York to make learning easier for students. The app uses AI technology to familiarize themselves with their school work by giving instructional learning resources such as videos, definitions, quizzes, and more.

Have an idea to develop an AI-based app Explore — USM Business Systems

A technical AI-based…


4. AI and Trading

Data-based investments have been steadily rising over the past 5 years and closed in 2018 with trillions of dollars. This is also known as algorithmic, quantitative, or high-frequency trading.

This type of business is rapidly expanding in global stock markets and for good reason: Artificial intelligence offers multiple important benefits.
Intelligent trading systems monitor both structured (database, spreadsheets, etc.) and structured (social media, news, etc.) data that people take time to process. The adage “time is money” is nowhere better than trading: faster processing means faster decisions, faster transactions.

Because algorithms can test trading systems based…


Like many other technological advances, artificial intelligence came into our lives from the pages of fairy tales and fiction (think of The Vision of Oz from Tinman or Maria from the Metropolis). In the 21st century, people dream of machines that can solve problems and release the pressure that can be rapidly compounded.

Less than 70 years since the term Artificial Intelligence came into existence, it has become an integral part of the most demanding and fast-paced industries. …


As the world moves towards more automation, the ethical debate about the role of AI in health care is becoming more relevant. In this article, we will explore some of the ethics involved in AI in health care and how they affect health professionals.

Ethics of AI in Healthcare
A variety of ethics apply with AI in health care. The ethics body deals with medical consent. As AI becomes more and more a part of daily life, medical compliance becomes an issue. …


Artificial intelligence (AI) and human intelligence examine cognitive functions such as memory, problem-solving, learning, planning, language, reasoning, and understanding. Both of these play monumental parts in improving society.

In terms of their differences, AI is an invention created by human intelligence and is designed to make specific tasks much faster with less effort.

On the other hand, human intelligence is better at multi-tasking and it involves emotional aspects, human interaction, and self-awareness in the cognitive process. The following discussion further explores such differences.

What is Artificial Intelligence?

AI, sometimes called Machine Intelligence, was established in 1956 as an educational unit…


Brody Buhler (left), global managing director, post and parcel industry group, Accenture, talks to PPTI about the company’s latest research and the impact artificial intelligence services will have on the postal sector.

This is the 10th Achieving High Performance in the Post and Parcel Industry report Accenture has researched and published, what’s different about this one?

Our methodology has changed. We used to collect the financial data, rank the organizations from 1–30, and then look at the top performers and what they are doing differently.

We’re not doing any ranking now, and the methodology is much more like a stock…

venkat vajradhar

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