Surely as a developer or manager of a software product you will have found yourself having to make choices about which library, framework, programming language, etc … to use.
Often the answer to this question is not easy, but essential.
This is because making the wrong choice on which technology to use can be extremely dangerous both in personal terms (I spend time learning something that I will no longer need) and in business terms (with the chosen technologies I cannot satisfy all requests).
To date, choosing the right technology is a complex process, for 2 main reasons:
- Today there are almost infinite different technology to solve a problem
- To choose the optimal solution you need to know in detail every technology present on the market
This determines a complexity in choosing the most suitable solution, because on the one hand it is impossible to know in depth all the solutions on the market and on the other it generates uncertainty whether the solution that will be chosen will prove to be the best.
In this scenario of uncertainty we have seen the birth of the open source world.
One of the main reasons is precisely because the developer is able to modify the starting code according to his needs.
This determines the ability to take a solution, among the many available, and make it optimal according to your needs. In this way it is possible to correct the initial starting error if a non-optimal technology has been chosen.
This ability to be able to borrow solutions and modify them has a cost. In fact, high skills are required from the developer to succeed in customize it.
Often in fact, in many projects you tend to look for a sub-optimal solution, because the reality is that you don’t know where to put your hands, so you borrow what is there and try to make it work.
This methodology can work at first, but then when problems happen (and they will), code crashes, malfunctions etc … Only those who have really good skills will be able to solve the real problem.
So if the open world provides customizable and low-cost solutions, on the other hand it presents many problems and requirements:
- High skills
- Lack of Support
- Lack of documentation
In reality, this paradigm has been changing in the last period, but in fact high skills are still required.
Another factor to take into consideration on open technologies is that being free, you risk investing time in something that will no longer be supported tomorrow.
This is because being a code without any constraints, there are no commercial agreements between the parties and therefore the creator of the project can stop developing and there are no consequences.
In reality today this can also happen with non-open technologies that we define as proprietary. For example if the business goes bankrupt.
One way to be able to be immune to this problem is to take open technologies and become expert users. This way you will never have the problem of failing, because you will have every detail of the solution in your hands.
Recap:
Open technologies can provide enormous advantages for the developer and the company because they allow for considerable freedom, compared to closed software where it is impossible to modify the solution according to one’s needs or to ensure the continuity of a project compared to proprietary solutions.
Furthermore, they also offer a commercial advantage due to the almost absence of costs, in many cases there are often no license costs or other.
The cons of this freedom is the need to have in-depth skills and be able to understand which open technology is best suited to your case.
Why Ai4prod
If you have read this far then it will be clearer to you what advantages and problems the open source world offers for the developer and the company in general
If we take the field of artificial intelligence, we notice an ever-increasing number of open projects. This is mainly due to 2 reasons:
- To best apply AI, the developer often needs to be able to customize parts of the code of a pre-existing solution.
- AI is still a research-stage technology, so university groups provide the code for their research to allow other researchers to refute or confirm the findings. ..
By doing a simple google search we find numerous open projects in the AI field, so if you don’t know how to understand which project to choose, you could be in serious trouble.
In this scenario of uncertainty, our desire to create an ecosystem developer-friendly that allows you to use the best open technologies with only one solution
Ai4prod’s goal is to choose the best open projects in the AI field and create an ecosystem that simplifies their use to handle the entire lifecycle. In this way it is possible to provide the developer with maximum flexibility while maintaining a high standardization.
In fact, the cornerstone of our ecosystem is to provide a map to the developer to understand how to manage an internal AI project starting from open technologies.
As we often tell ourselves, We are not inventing the wheel or the frame or the rims, but we are creating the screws to put it all together and create the bicycle.
This means that our ecosystem integrates with each other several open source technologies that we have carefully chosen, and makes them communicate with each other to provide the maximum possible freedom to the developer to handle the entire lifecycle.
This, as in the case of the bicycle, has allowed us to create a solution that is better than the individual parts put together.
Conclusion
Ai4prod is the first ecosystem that unifies and simplifies the use of different open technologies, to provide a developer-friendly solution for the creation of artificial intelligence applications.
Thanks to our experience gained over several years of industrial development, the ecosystem is designed for the developer in order to provide standard, yet flexible and accessible methodologies.
If you want to find out more book a call here.