Product development with AI: challenges and expectations
Monday, January 29, 2024
Developers and entrepreneurs face certain challenges when deciding how to use AI. What questions should we ask ourselves and how to act accordingly?
What to do: Wait for perfection or start right away?
Currently, many observations have been made about AI. And although many of them have a real basis, they could be used as an excuse to justify inaction. Faced with this challenge, many technologists are proving not to be up to the task. But the reality is that you can accept imperfection and start working now, solving the problems raised.
Finding a problem in the use of an artificial intelligence tool should only mean that you have to become the expert who can solve them, look for alternatives and not get stuck. You don't need to be a programmer or an expert in machine learning, you just have to bring unique expertise in the field and work on a new, complicated and fascinating problem.
Developers: Should they rethink their careers?
There is some concern because many AI tools could end up doing a large part of developers' work. Given this, certain impulses arise.
The first impulse is: learn new programming languages. AI is largely accessible by knowing any programming language, or even through a variety of no-code and low-code approaches. You can learn the use of no-code tools to launch new prototypes quickly, as well as the use of OpenAI , Microsoft, Amazon and Google APIs . With them you can spend time creating useful tools before needing to touch a programming language.
The second impulse is: develop great software-as-a-service products. Before the AI boom, one of the main dreams was to create that product, platform or service that would mean millions of dollars. While it is possible to create SaaS tools that support web development goals, there is also a market for building websites or AI software for clients. You have to know how to take advantage of this new technological leap.
The third impulse is: invest a large amount of time conceiving ideas for powerful products or services. There is a market for developing small tools that dramatically improve specific processes using AI. Small improvements can be immensely popular, and most importantly, working on small, limited projects will help you learn. This will allow you to establish your expertise and position yourself as a market leader as new opportunities arise in the coming months and years.
Entrepreneurs: What should you consider about implementing AI tools for your business?
Certain questions create a kind of paralysis: How to compare between so many tools? What to do if a better one arises than the one chosen? Does choosing the most commonly used tool mean leaving aside others that can do the job better? What if the tool exists but is difficult to find?
This phase of indecision must be overcome because in the meantime others are already in the race and moving ahead to conquer that market niche. These are some of the considerations that cause this block:
The first: evaluate tools by their features, looking for exaggerated features. It is possible that this search is based on criteria of subjectivity. If the product to be obtained can be effectively made with any of them, one is chosen and the work begins.
The second: wait for a general and integrated solution that allows us to respond to the problem with a single action. It is almost expected that with a single command, be it voice or a click on the screen, the desired solution will be obtained. This can be overcome by thinking in terms of integrating several tools that solve a problem at the same time, and by combining this with experience in the process, obtaining the desired solution.
The third: gorge yourself with information hoping that the solution you are looking for will appear among all of it. It is very difficult to analyze all the information received from sites, social networks, newsletters, blogs, etc. Although it is necessary to review various sources of information, the capabilities of analyzing it must be taken into account. Therefore, it is pertinent to consider those schedules in which the capacity for attention and analysis is optimal, and rest when it begins to decrease.
The dilemma: Which path to take, products or processes?
1 - Products are software/tools created for public use. They can take the form of a software-as-a-service subscription or a one-time purchase. They can grow dramatically over time, and that profit growth over time is exponential if they keep adding users. They require a lot of marketing. Products can be expensive to build, especially if you don't have a clear plan to prototype and validate it right away. Some products will be less popular than expected, which may force new versions or prototypes to be generated.
2 - AI-automated processes are internal workflows that a business uses to improve the speed, quality and/or efficiency of its work. They do not require all the prototyping, validation, research and marketing phase that goes into creating a product. In this way, all the effort is placed specifically on what is best known, and on discovering where AI tools can facilitate this.
The downside to building an automated process with AI is that it's not as compelling as a product. Thinking that the final objective of automation is to maximize operability and obtain greater profits, it is possible to export that model to others that present the same problem, so eventually the automated process with AI tools could be seen as a product.
Suscríbete ahora.
Suscríbete a nuestra newsletter e indícanos cuál es tu necesidad como emprendedor. También puedes enviarnos tus dudas o sugerencias. ¡Son muy importantes para nosotros!
ENLACES
CATEGORÍAS
Creado con © systeme.io • Política de Privacidad • Términos del servicio