TECHNOLOGYWORLD

On the cusp of the artificial intelligence revolution

With these huge gains, we expect greater and faster progress on the level of connectivity of the entire planet – people and things – will become more connected. Already, five billion people have access to a mobile device, and more than three billion people have access to the internet. In the coming years, 50 billion things – from light bulbs and refrigerators, roads, clothes, and other things – will be connected to the internet as well.

 

During each generation or so, emerging technologies converge, and a revolutionary invention occurs. For example, the internet, affordable and by compressing files, Apple, the iconic iPhone, has helped enable companies like Uber, Airbnb, YouTube, Facebook, and Twitter to redefine the mobile experience to customers.

 

We are now on the cusp of another major convergence: big data and machine learning will double computing power, making AI available everywhere soon.

 

Artificial intelligence follows Albert Einstein’s quote: Genius turns complexity into simplicity. So, as the world itself is becoming more complex, AI is set to become the distinct technology of the 21st century, just as it was the processor in the 20th century.

 

Consumers already meet AI on a daily basis. Google uses machine learning for automatic search queries, often accurately predicting what one is looking for. Facebook and Amazon use forecasting algorithms to make recommendations based on reading or purchase date. Artificial intelligence is the central component of self-driving cars — which can now avoid collisions and traffic jams — gameplay systems such as Alpha Gu and Google Deep Mind, and the computer that beat South Korea’s Gu Master Sid Lee system in a five-game match earlier this year.

 

Given the wide applications of AI, all businesses today face the imperative of integrating it into their products and services. Otherwise, they will not be able to compete with companies that use data collection networks to improve customer experiences and communicate business decisions. The next generation of consumers has grown up with digital technologies and will wait for businesses to anticipate their needs and provide immediate answers to everyone.

 

So far, AI is too expensive or complicated for many companies that want to take advantage of it. Integrating AI into business-based processes can be difficult, and historically scientists may require highly skilled data. As a result, many companies still make important decisions spontaneously rather than relying on information.

 

This will lead to change in the next few years, and artificial intelligence will become more prevalent, making every company and every employee or worker smarter, faster and more productive. Machine learning algorithms can analyze billions of signals to automatically direct customer service to the most appropriate agent or identify customers most likely to purchase a particular product.

 

AI applications will go beyond online retail: brick and mortar shops still account for 90 percent of retail sales, according to consulting firm A. T.? Kearney. Soon, when customers enter a regular store, they will be greeted by an interactive robot who can recommend products by shopping history, offer special discounts, and deal with customer service issues.

 

Advances in so-called “deep learning,” a branch of artificial intelligence similar to the brain’s neural network, will enable intelligent digital technologies to plan holidays with the acumen of a human assistant, or determine consumer confidence toward a particular brand, based on millions of signals from social networks and other data sources. In healthcare, deep learning algorithms can help doctors identify cancer cell types or intracranial abnormalities from anywhere in the world in real time.

 

To effectively deploy AI, businesses will need to maintain privacy and security. Because AI feeds on data, the more data there is about an individual, the better for predicting their needs and acting on their behalf. But, of course, we can devote this massive flow of personal data to distrustful ways. Companies will have to be transparent in how people’s personal data is used. AI can also detect, defend, and falsify digital security breaches, and will play a critical role in protecting user privacy and building trust.

 

As in past times of economic transformation, AI will unleash new levels of productivity and the growth of our personal and professional lives, asking existential questions about the old human-machine relationship. It will disturb industries, disrupt workers, and will make more tasks automated or automated. But as the internet did 20 years ago, AI will also improve existing jobs and create new ones. We should anticipate and adapt to this shift by providing training for tomorrow’s jobs, as well as safety nets for those who are late.

 

AI still has a long way to go before it surpasses human intelligence. Sixty years ago, computer scientist John McCarthy was the first to use the word artificial intelligence during a conference at Dartmouth College, and only recently have computers been able to detect cats in YouTube videos or determine the best route to the airport.

 

In the future, we will be able to continue technological innovation at a greater pace than previous generations. AI will become like electric current – invisible and a new addition in every part of our lives. Thirty years from now, we will wonder how we were once able to live without digital supplies, just as it is today, as it is already hard to imagine walking more than a few minutes without checking the PC (centralized on 1980) in our pocket.

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