On February 3, Indonet and BytePlus successfully hosted Building “AI Made Easy” for Enterprise at the TikTok Office. We brought together industry leaders and practitioners to explore how AI can be practically adopted at the enterprise level.
The workshop focused on demystifying AI implementation for businesses, with hands-on discussions around building, deploying, and integrating AI solutions in a secure and scalable way. We introduced participants to the BytePlus ecosystem. The session started with a practical walkthrough on how enterprises can safely land AI applications on the cloud, covering key considerations around architecture, security and operational readiness.
The session also featured a collaborative discussion with AssistX, highlighting real-world use cases of Enterprise AI solutions and how intelligent automation is transforming business processes across industries.
In addition, Nexsoft shared insights into how AI is driving automation in the FMCG sector, showcasing how data-driven intelligence can enhance distribution management, operational efficiency, and decision-making at scale.
The event underscored the importance of collaboration across technology providers, solution partners, and enterprises in building AI solutions that are not only powerful, but also practical, secure, and ready for real business impact.
Event Highlights
- Introduction to the BytePlus AI ecosystem for enterprise use cases.
- Practical walkthrough on secure AI deployment in the cloud.
- Collaborative discussion on Enterprise AI Solutions with AssistX.
- Insights on AI-driven automation in FMCG from Nexsoft.
- Interactive knowledge-sharing session with industry practitioners.
Key Takeaways
- AI adoption must be practical, secure, and scalable to deliver real enterprise value.
- A strong cloud foundation is critical for safely deploying AI workloads.
- Collaboration between technology providers and solution partners accelerates AI readiness.
- AI-driven automation enables operational efficiency and smarter decision-making.
- Enterprise AI success requires not just technology, but clear use cases and execution strategy.
