Operationalise your data science efforts into your business processes with our fully documented approach to agile deployment.
Agile Deployment supports organisations in realising value from data analytics: operationalising data science outcomes for consumption by the business. A majority of companies struggle to AI enable their business because operationalising data science outcomes is hard. Factors driving this problem include:
- There is often an underlying lack of expertise in data and machine learning model engineering
- Common challenges are found in the collaboration between business and IT
- Many experts from diverse areas often work concurrently on these projects.
The consequence of these challenges is an expensive and inert environment with high integration costs and a high maintenance tool landscape.
Jumping the data science deployment hurdle
So how do you overcome these challenges to deploy data science models into production?
Agile Deployment uses a blueprint and a fully documented approach to operationalise data science efforts into business processes. It can be tailored to any scale and provides a repeatable, trackable method for consistency.
Deployment: Productise → Monitor → Improve → Deliver
Agile Deployment extends our AI, ML & Agile Insights service for customers to:
- Deliver insights faster
- Iterate analytics more often
- Leverage the full analytics potential
AlphaZetta’s Agile Deployment service is an integral part of AlphaZetta’s DataOps / MLOps best practice; the foundation to go beyond descriptive analytics and the key enabler for advanced analytics.
The service also caters for training needs by providing staff with a unified nomenclature and thinking, which nurtures a data-driven corporate culture and collaboration.
Associated programs: Analytics Experience (AX)
Commonly associated services: Analytics Strategy, Analytics Roadmap, AI, ML & Agile Insights
Associated solutions: OmegaML
