More often than not, firms find themselves unable to adapt to new technologies, and this is not because they are not capable of effective adoption or lack of understanding.
Expertise in technology and the ability to adapt to new tech is the key quality that helps a firm sail through to the other side. The most important aspect of this journey is identifying the use cases — If you don’t know how to drive, it does not make a difference if you have an 82’ Yugo or shining red Ferrari.
This applies to AI as well, identification of use cases is the single most important aspect of AI adoption. We need to understand that in popular culture, AI has been hyped to a great extent. There is still a long way to go before we all have a Jarvis of our own. Till we get there, AI is all but a tool, a very useful one at that, for business processes.
Since our goal is to make AI accessible to all, identifying use cases is at the heart of what we do. Hazlo.ai has been built to ensure that anyone can log in and start building industry grade artificial intelligence without any code.
The model is accessible via our state of the art APIs. As users input their datasheet, Hazlo suggests the columns which can be predicted or optimized; cleans, extrapolates and augments their data; finally, it visualizes the share of each column in the prediction and deploys their very own AI to the cloud.
It’s being used as a chatbot, to diagnose diseases, optimize nutrition and so much more — and we’re pushing the boundaries every day.
Moving ahead we are building effective prompts to ensure that the users don’t miss out on any of the predictions that may be derived from their data. Trying to cover all use cases in this process.
