Artificial Intelligence: Emerging from University Labs into Daily Life, and Tomorrow?

Artificial intelligence is certainly the most significant technological advancement of this 21st century, although it appeared in the early 1950’s, with the first use of touring trials and machine learning.

Like many technological advances – industrial machines, transistors, the Internet or mobile computing – AI was conceived and designed at the academy before it was phased out. Already present in the daily life of many of us, yet it offers many additional fields of application to explore.

The first companies to use AI are large technology companies that have the scientific knowledge and computing resources to adapt and adapt neural networks to the needs of their customers. They did this by using the cloud and scaling AI from Academia into real-world business applications.

Google, for example, then uses in-depth learning in natural language processing to design Google translations, while Facebook uses AI to identify consumer products from images.

Tech giants are succeeding in creating platforms that allow companies and startups to benefit from AI in the cloud, quickly and at low cost. Large companies in all sectors are adopting this technology more widely to improve the quality, safety and efficiency of their workflow.

Data scientists in finance, healthcare, environmental services, retail and entertainment are then starting to train neural networks in their own data centers or in the cloud.

Conversational AI chatbots support call center teams by filtering requests and emergencies. Fraud detection AI, meanwhile, monitors unusual activity in online marketplaces. Computer visualization acts as a virtual assistant for mechanics, doctors and pilots, providing them with accurate information and making their decisions more reliable, both in real time and in simulation.

Despite the democratization of AI applications (machine-learning, deep-learning, NLP), only 10 to 15% of companies worldwide have managed to industrialize AI-based solutions in their companies while 30 to 40% of them will be limited in testing time, by firm EY *. According to a survey conducted.

In addition to the cloud or data center, the advent of 5G is in the process of becoming a catalyst that accelerates the deployment of peripheral computing devices, closer to end users: within factories, hospitals, airports, shops, restaurants, and electrical networks.

With the adoption of IoT devices and advances in computing infrastructure, data spread is already enabling enterprises to create and train AI models to be deployed “on the edge”, to serve end users and the general public.

AI “on the edge”, already used in many sectors, seems to be the promising answer to the need for very fast and very fast growth. Computer visualization of visits to and from the factory detects security breaches, scans medical images for abnormalities, and advises safe driving on highways.

The potential for new applications is endless. Recent technological advances have even paved the way for AI autonomy, the ability to operate mobile machines without human intervention. Cars, trucks, boats, planes, drones and other robots will soon be able to operate without human piloting.

Over the past 75 years, AI has moved from the lab to the living room, improving business performance and the daily lives of consumers. If companies invest in this field, there are still many challenges and barriers to adoption.

In many sectors, simulation capabilities will be crucial for modeling and testing all possible situations and learning how to estimate the security risks associated with deploying robots in the real world. One of the key elements that conditions the emergence of technology in consumers’ daily lives is a clear and appropriate regulation.

Moving from the company’s experimentation to well-framed marketing of products designed or operated with AI may stop the adoption and raise fears of bias.

If the projects remain numerous, it is a safe bet that the new generation of inventors will usher in a new era of greater confidence in AI. Not surprisingly, the trusted AI market now covers an estimated 53 billion euros *, covering all important business sectors (automotive, bancassurance, industry, pharmaceuticals, etc.).

* Ernst & Young Studies for Investment Secretariat

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