Code Less, Build More: The AI future of Low-Code Development — Tech Transformed

AI is catalysing the evolution of low-code platforms and reshaping the landscape of low-code development tools. These new technologies can provide a strategic advantage in streamlining internal operations. By leveraging AI effectively organisations are able to deliver truly personalised, adaptive, and intuitive interactions.

However, organizations face challenges adopting these new technologies and risks like AI hallucinations need to be mitigated to ensure reliable outcomes.

In this episode, Paulina Rios-Maya, Head of Industry Relations at EM360Tech, speaks with Nikhil Nandagopal, Co-founder and CPO of Appsmith, about the transformative impact of AI on low-code platforms and application development.

Key takeaways

Low-code platforms are revolutionizing application development.
AI tools can generate code but require careful review.
Routine tasks can be automated, but decision-making still needs human input.
AI adoption comes with challenges like hallucinations and misinformation.
Organizations must adapt their culture and processes for AI success.
Developers need skills in data modeling and security for AI applications.
AI can simplify user interfaces and enhance user experience.
Interconnected applications will rely on AI to bridge data gaps.
Most AI projects fail due to underestimating necessary changes.
Enterprises face more challenges in AI adoption compared to SMBs.

Chapters

00:00 - Introduction to AI and Low-Code Platforms

02:59 - The Role of AI in Automating Tasks

05:51 - Challenges and Risks of AI Adoption

09:08 - Essential Skills for Developers in AI

12:01 - Future of Interconnected Applications

14:50 - Realities vs. Hype of AI in Enterprises