Presenting at APPIS 2024, Gran Canaria 🇪🇸

Mostafa Hadadian
3 min read
Presenting at APPIS 2024, Gran Canaria 🇪🇸

At APPIS 2024, we had the honor of contributing to a crucial discussion on the Applications of Intelligent Systems. This conference provided a unique platform for scientists, researchers, and practitioners to collaborate, exchange knowledge, and explore the interplay of theory and practical applications in AI, machine learning, and data science.

Unlocking the Full Potential of AI

Our presentation addressed one of the most pressing issues in the AI industry: why over 80% of AI initiatives fail to deliver tangible value in production. This alarming statistic is not merely a reflection of conceptual or algorithmic challenges but rather the result of gaps in the engineering and operational aspects of AI lifecycle management.

Bridging the Engineering Gap in AI

AI development often focuses heavily on innovation and experimentation, leaving the critical phases of deployment and maintenance underexplored. During the presentation, we emphasized that AI systems are not just “build-and-forget” solutions. They require continuous monitoring, iterative updates, and a strategic focus on scalability and maintainability.

Key takeaways from our session included:

  • Modularity: Breaking down AI systems into smaller, reusable components simplifies development and accelerates the deployment process.
  • Transitioning to Microservices: Moving away from monolithic architectures reduces bottlenecks and enables more efficient system orchestration.
  • Monitoring as a Necessity, Not an Option: AI systems must be monitored continuously to ensure their predictions remain accurate and relevant in ever-changing environments.

The Bigger Picture

APPIS 2024 went beyond technical discussions, exploring the political, cultural, and ethical dimensions of AI. These broader conversations underscore the necessity of responsible AI adoption—recognizing not only its potential but also the responsibility to use it strategically and sustainably.

CAIDEL’s Role

At CAIDEL, we are deeply committed to enabling organizations to overcome these engineering and lifecycle management challenges. Our solutions are designed to simplify the development and deployment of AI systems, ensuring they deliver measurable value while remaining scalable and robust in real-world applications.

We believe events like APPIS 2024 are invaluable for fostering collaboration and advancing the field of AI. Our heartfelt thanks go to the organizers, Prof. Dr. Nicolai Petkov and Prof. Dr. Carlos Travieso, for bringing together such a diverse and inspiring group of participants.

Looking Forward

The journey to making AI successful in production is filled with challenges, but it also holds immense promise. By focusing on streamlined engineering processes, scalable architectures, and continuous maintenance, we can unlock the full transformative potential of AI.

If your organization is ready to take the next step in AI adoption, let’s connect. Together, we can make your AI systems not only functional but truly impactful.

References

Link to presentation