AI is a game changer across industries, with every department eager to integrate AI solutions for business value. However, despite strong interest, actual AI adoption often lags behind. A survey by Insider Intelligence found that 42% of North American companies have yet to adopt AI or ML.

Why is it so challenging to productize AI/ML solutions?

Key challenges include:

- Data Constraints: Quality data is often hard to obtain due to lack of infrastructure and compliance issues.
- Technical Experience: The complex ML lifecycle can create misalignment between teams, making integration difficult.
- Business Value: Companies may struggle to connect AI research with tangible business outcomes.

MLOps can bridge these gaps, providing automation, reproducibility, and monitoring throughout the AI lifecycle, ensuring that models deliver real business value.

At Gleecus, we help businesses unlock AI’s potential by guiding them through these challenges and supporting ML model deployment.