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Artificial intelligence technology, which has evolved since the 60s of the last century, has finally reached its peak. For example, IDC last year presented a forecast for the IT industry for 2021. Let’s try to show that artificial intelligence affects almost every point of this forecast. So, these are the trends that, according to IDC analysts, will determine the development of IT in 2021.
Define Your Needs
A common mistake many companies make is that they do not define their needs and therefore end up using technology that is not designed to help them achieve their goals. It will be useful to use robotic process automation and you will be able to understand how it works. However, such systems do not develop or learn. On the other hand, deep learning systems are almost impossible to understand, but they can learn from a huge amount of data. Knowing exactly what you want will help you determine what technology you can use and benefit from.
Set Your AI Budget
Nothing worthwhile is given for free. Every project in your company requires a separate budget and make sure you stick to it. We understand that this can be difficult at first and you are not expected to strictly follow this budget; most budgets are just a frame that people can work on. However, without this frame, people can easily lose focus and spend extra money for no reason. Worse, they may choose cheap options that will cost the business more in the long run. There are costs to hiring artificial intelligence engineers in your business, but it’s worth it. As with any other expense, you must decide how much you want to spend on that domain. Think of it as a separate department and start calculating how much you want to spend on it and how much income you expect to get from it. Not calculating finances is a bad sign for any business and does not mean promising growth.
Hire Experts
If you have never worked in this field before, it is best to hire specialists to help you. Seeking help from those who have long been in the field will save you time, money, and effort that you can put into other tasks. Working with a company that hires experienced developers will help you feel relaxed and comfortable as you embark on a new journey where you would like to avoid mistakes. If you want your business to stand out well and promote itself with the quality of the work it presents, then it’s best to work with someone who knows how to express your ideas and passion. The stages of work on a task for data scientists from different fields are similar:
- clarification of customer requirements;
- solving the fundamental question “Is it advisable to solve the problem using machine learning methods?”;
- preparation of data, their markup;
- adoption of metrics for evaluating the effectiveness of the model;
- developing and training a machine learning model.
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Resiliency is Central
Organizations must seek new approaches to maintaining a competitive advantage in a volatile environment. As you know, life is a stable state of instability, that is, it is impossible to create a system once and for all, put it into operation, and constantly use the results of its activity. Companies will need mechanisms to ensure this constant state of volatility – digital resiliency. IDC experts predict that already in 2022, enterprises focused on digital resiliency will adapt to disruptions 50% faster than enterprises focused on restoring existing business patterns and the status quo. As in real life, and in information systems, digital resiliency cannot be ensured without artificial intelligence, which makes it possible to assess how the current situation differs from the one before the crisis, and in which direction you need to move to come to a new equilibrium state.
