In a joint Harvard Business Review and Google Cloud report 97% of business leaders surveyed believe that democratising access to data and analytics across their organization is important to business success. The same study revealed that only 60% of these leaders believe their organization is very effective at giving employees access to data and analytics tools.With business leaders now seeing greater autonomy in deciding their technology directions, this may have led to the rising adoption of low-code and no-code methodologies for developing applications. Both approaches use visual programming and automation to create software solutions rather than relying on the IT team to write the code for them.FutureCIO has covered the economic benefits of low-code and no-code back in September 2020. This time around with the growing influence of artificial intelligence, we look at how AI may impact the use of low-code and no-code approaches when it comes to business applications.Returning to PodChats for FutureCIO is Leonard Tan, regional director for Singapore and Greater China, OutSystems.1. Where are we at as regards low-code/no-code adoption/integration in Asia in 2023?2. What have been the positive AND negative consequences of low-code/no-code use to the application development teams? [get access to this OutSystems study]3. How do you see AI impacting the future of low-code/no-code use in the enterprise? Please view from the perspective of (a) enterprise citizen developers and the IT function; from the (b) developer team to (c) security.4. How should the CIO balance the benefits and risks of AI-powered low-code/no-code platforms?5. 2024 is here. What is in store for low-code/no-code platforms, and how should the CIO and the enterprise view these developments as part of the overall business transformation?

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