Mission Critical Software, Delivered

In order to gain a true competitive advantage today, IT teams need to build and launch mission-critical apps faster than ever before. Hence, a lot of organizations are looking to experiment with GenAI.

However, GenAI written code comes with its own risks around governance, security, trust etc. leading to adoption fear among tech leaders. Moreover, existing technological infrastructure challenges like legacy tech also create roadblocks towards AI adoption. IDC research shows that over 60% of Asia/Pacific applications are legacy, creating challenges like rigid systems, maintenance burdens, skill gaps, and technical debt accumulation*.

That's why more and more organisations are turning to enterprise low-code driven automation with in-built secure GenAI capabilities, to build their own unique software. IDC research notes that 68% of businesses in Asia/Pacific consider integration with modern development tools (e.g., integrated development environments [IDEs], low code, DevOps) as the top modernization strategy*.

Watch this webinar recording to explore synergies between Low-Code and GenAI that accelerate mission-critical software delivery. By leveraging the power of Low-Code platforms alongside structured prompt-based engineering, GenAI accelerates deployment timelines while maintaining the quality and specificity required for mission-critical applications.

Key Takeaways:

• Top challenges for GenAI adoption and top impact areas of GenAI in software development.
• Will AI make coding redundant? What are the options?
• Making safe GenAI adoption possible with the power of low-code.
• How can early AI successes be leveraged to build momentum?

Who Should Attend:

This webinar is ideal for IT leaders and executives who are exploring GenAI or facing challenges in advancing their initiatives. Whether you're in the early stages or looking to overcome implementation hurdles, this session is for you.

*IDC Infobrief - Mission-critical Software, Delivered: Harnessing the Synergy of Low Code and GenAI

Speakers

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