Is your data ready for AI

Often, many organizations deploy data warehouse strategies and solutions to focus on historical and statistical data to predict a few business variables. However, is the data present in the warehouse does it suit the sophisticated systems that use Artificial Intelligence (AI) and Machine Learning (ML) algorithms ?

Business leaders understand the data warehouse and the application layer on top of it and they constantly look at various permutations and combinations of data to meet their business needs. Few data warehouses have almost the same data at the data warehouse and the application layer. The middle layer where there is lot of scope of data transform is not present. This is the opportunity where an AI or ML API should interfere and make the data more useful to the business needs.

And coming to the availability of data to AI and ML is the biggest gap to be filled by your data warehouse strategy.

How do we ensure that our data warehouse is ready for AI?

Data Readiness for AI is crucial for any AI Implementation Project.