Much has been said about OpenIA in recent months, the development of ChatGPT, which is evolving the path of artificial intelligence research and democratizes it as one of the most specialized and most widely adopted technology platforms.
Undoubtedly, ChatGPT as such has been a catalytic agent that continues to accelerate the process of digital transformation. And, although it is the star today, there are also other platforms and models that are taking off, such as conversational artificial intelligence, chatbots, virtual assistants and voice assistants, among others. In addition, artificial intelligence is also driving the business process automation and data-driven decision makingwhich is generating significant benefits in terms of productivity and profitability.
The attention generated by the ChatGPT ecosystem pushes organizations to rethink your business model and, at the same time, to use this new platform to your advantagenot only as a muscle to gain speed and efficiency in the development of your solutions, but also to add it to your offering.
This platform opens up a world of possibilities to build new services and products, using behind the cognitive services it offers, whose access has been simplified. The possibility of developing a business model using artificial intelligence opens up where an army of expert machine learning engineers is not needed.
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Such is the case of call centers, whose interest lies in transcribing conversations to identify key points within the talk, or to attend to regulatory indicators. Or the case of streaming platforms, whose attention is focused on optimizing search engines. Or the e-commerce platforms, which seek to facilitate the analysis of their competitors.
But, beyond the great benefits that ChatGPT offers per se, companies must initiate a path guided by innovation and transformationwhere they must work hard to identify use cases that allow them to make tangible and measure the benefits in the shortest possible time.
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From our experience, the first step for a company that wants to start exploring GPT or any of these models for its business is identify the use case, the specific functionality on which you want to apply it, the interaction with the end user and, from there, research, develop and experiment. Use cases work like a agent catalyst to rethink and accelerate these processes of innovation and digital transformation.
This trajectory must keep in mind that we are talking about a new, incipient technology. You have to undertake it with a very experimental mindsetbeing willing to fail and, at the same time, to run into discoveries that we were not even looking to find.
In the process we must be very pending validations, to have a controlled environment. We must carry out an analysis of how to improve what we have, to complement what exists, instead of replacing one process with another.
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This way of proceeding is essential when working with such innovative technologies and is related to the managing expectations. The expected results will not always be obtained in the desired times, so we must be careful and accept that, on a day-to-day basis, different challenges will arise that we must be able to handle.
It is a race in which there will be winners and losers, where the offer will be expanded. This implies greater competition, because companies will have more options to resort to this type of service models to apply them in their operation and business models.
We are just observing the tip of the icebergwe will discover new applications and utilities, challenging ourselves to think out-of-the-box, to rethink pre-existing forms. only time will tell how far will we gosince technology always pushes the limits of the imaginable.
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There will also be ethical and moral questions, but the challenge is that, as an industry, we rise to the challenge, let us make the intellectual effort and the necessary investments in pursuit of increasingly improving the conditions in which business is done and people live.
Source: Ambito
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