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.

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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