Artificial Intelligence has been around for decades, but because of the latest technological trends, AI applications are constantly evolving.

AI has a deep history that is ever-changing. AI has the power to address different challenges and predict outcomes, but being able to take advantage of the opportunity requires an understanding of the past, the present and the future.

The Past

The field of AI goes back to the 1940’s. This concept grew academically in the 1950’s and through government-sponsored projects in the 1960’s. Finally, funding eventually died in the 1970’s.

The next phase was in the 80’s where AI techniques were being moved from academic applications into the business world. During this time it was discovered that AI could be used to predict stock prices allowing it to solve more complex business problems.

During the 80’s and 90’s, robotics entered factories, showing the potential for machines to completely change an industry. Hence, this created a fear and backlash against AI technology, slowing its growth again.

If you would like to understand the history of AI in more detail, then take a look at this youtube video: 

The Present

In recent years, we have seen a significant surge in Artificial Intelligence technologies, such as robotics being used for surgeries and the third generation of AI – The Era of Deep Learning. Therefore, we can see innovation happening at a fast pace, with leaders such as Google using deep learning algorithms to create predictive models.

Furthermore, AI is already being used many scale applications. The most common examples are:

  1. Vacuum cleaners

  2. Smart cars

  3. Self-driving cars

  4. Personal assistant robots

These are representative of the uses of AI today, and we are regularly seeing new milestones in AI technology.

AI is transforming many aspects of business functions, and software development is no exception to this. Traditionally, developing a computer program requires you to specify exactly what you want the system to do and then engineer all of the features yourself. However, I’m sure you know that some tasks are too difficult to teach computers to do. Enter AI techniques such as Machine Learning and Deep Learning. A machine learning model can deduce what features and patterns are important, without a human encoding this knowledge. The outputs of some ML models can even surprise humans and highlight details that we hadn’t thought about.

The Future

In the future, AI will continue to grow in a way that will enable new business models and functionalities.
It will also play a key role in improving quality of life through allowing humans to complete tasks more efficiently and in less time.
Although we cannot be sure of the exact future, it is quite evident that interacting with AI will soon become an everyday activity. These interactions could help our society evolve, particularly in regards to automated transportation, solving climate change, and improving the care of the elderly. Beyond these few impacts, there are even more ways that AI technology can influence our future.

Are there any other ways that you think Artificial Intelligence will change or shape the future?
Comment below and tell us your thoughts!