When implementing AI into their data science strategies, organizations find themselves running into common barriers and challenges. Lack of data maturity makes it harder for organizations to ensure their data is secure and trustworthy. A shortage of data science skills creates costly bottlenecks, and inaccessibility to the right tools at the right time makes data integration a longer, inefficient process. However, IBM Watson Studio Premium on IBM Cloud Pak for Data can help accelerate time to value from AI by combining the power of predictive analytics, optimization and big data access techniques in a multicloud data and AI platform.
This whitepaper outlines how Watson Studio Premium for IBM Cloud Pak for Data helps organizations:
- Deploy data science models on any cloud — such as AWS, Google Cloud, Azure or IBM Cloud®—as well as on-premises.
- Solve data science skills shortages by democratizing access to data science tools with visual, guided and natural-language based modeling capabilities.
- Create faster plans, schedules and resource allocations with decision intelligence that combines predictive and optimization models without coding.