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By coupling Gen AI with a low-code platform that generates standardized code, even the one-time productivity boost offered by Gen AI can be monumental.
Declarative machine learning is going to be the preferred way most organizations operationalize task-specific AI to solve business problems.
It’s time to say hello to the ability to update, innovate, and adapt in payments without the endless cycle of coding and recoding.
Economic uncertainty coupled with recent mass layoffs, stock market meltdown, and plunging valuations have impacted the tech and enterprise software industries.
The coding environment has changed since the arrival of low-code solutions and is changing even more with the arrival of natural language processing (NLP), like ChatGPT.
If you want your CEO to sign off on your low-code/no-code modernization projects, you need to communicate to them how these tools will allow you to improve their daily operations.
A flood of data and the associated demand for more analytics and machine learning means low code is a must have for data engineering.
The shift to cloud environments requires developers to rapidly modernize their software. Low-code can help.
Low-Code/No-Code promotes collaboration and significantly increases the number of people in organizations empowered to contribute to cloud transformation.
If you haven’t adopted low-code development already, here are four ways to ensure your business benefits.
Security teams struggle to resource the people and the skills necessary to keep their organizations safe. No-Code can help.
Low-Code platforms can be a strategic value driver for ISVs, with a few considerations in mind to make them successful.
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