Why is it different this time and does AI have the best chance of going mainstream?

The relatively recent history of artificial intelligence has been linked to the advancement of information technology (IT). Every significant qualitative leap of IT, hardware or software, also meant a revival of the AI phenomenon, at least through studies, communications and media.

This time the AI phenomenon brought tangible innovations, namely computing tools in the form of platforms, bots, programming techniques and various technological grafts on existing tools that led AI to unprecedented levels in terms of public attention but also large-scale adoption of new technological tools built on AI architecture. These elements lead to the conclusion that this time, AI is here to stay with us in a new stage of the development of human civilization.

So, what exactly makes us say about AI that “this time is different” and that we are witnessing a paradigmatic evolution, without precedent and without return?

The current development and adoption of artificial intelligence (AI) has been influenced by a number of key factors that have created an environment conducive to the growth and mainstreaming of this technology. Here are some important factors:

1. The huge amount of data available: With the increase in the use of the Internet and digital devices, massive amounts of data have been generated. AI uses this data for learning and training, and the sheer volume of information has led to improved performance of AI models.
2. Increased computing power: Technological advances in hardware and computing power have enabled the training and use of much more complex and efficient AI models, such as deep neural networks.
3. Development of Machine Learning Algorithms: Innovative machine learning algorithms such as neural networks and deep learning have revolutionized AI’s ability to understand and make decisions from data.
4. Significant investment in research and development: Companies around the world, as well as academic institutions, have invested substantial amounts in the research and development of artificial intelligence, which has led to new discoveries and innovations.
5. Availability of open sources: Many researchers have published open sources and AI algorithms, allowing others to learn and develop new technologies based on these resources.
6. Industry interest and financial investment: Companies have recognized the potential of AI to improve their processes and innovate. This has led to significant investments in the development and implementation of AI solutions in various industries.
7. Advances in Data Analytics and Machine Learning: The development of data analytics and machine learning techniques has made it possible to extract meaningful insights from large data sets, thereby helping in informed decision making.
8. Successful applications of AI: Successes in areas such as voice recognition, machine translation, autonomous vehicles and virtual assistants have shown the practical potential of AI, generating public and industry interest and adoption.

These combined factors have created an environment conducive to the development and widespread adoption of artificial intelligence, transforming it from an emerging technology into an influential force in all aspects of society and the economy.

(Article generated and adapted by CorpQuants with ChatGPT)