How AI Is Having An 'App-Etizing' Impact On Application Development

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Fabio Caversan is Vice President of Digital Business and Innovation at Stefanini, driving new product offerings and digital transformation. Read Fabio Caversan's full executive profile here.

The widespread excitement around AI—specifically the consumer-facing large language models like ChatGPT—has raised the profile of AI tools in popular consciousness. It has also prompted many decision-makers at companies around the world to ask pointed questions about how they can leverage the power of these game-changing new tools for their own benefit.

For example, you can run an AI model on a list of reported customer incidents with an application or customer process to sort and categorize those incidents and provide more insight into their causes and prevalence. This may not only identify the biggest problems but also inform an application developer’s approach to fixing them.

• Code optimization and code performance • Enhancing the quality assurance process by automating testing steps like generating and running test scripts, and following a task list• Enhancing communication by translating to and from virtually any spoken, written or programming languages

 

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