Transforming SAS language, Python, and other modern language technologies into a single, code to no-code analytics platform that remains agile and competitive in a world that is rapidly changing and offers cost savings.
Learn more about:
- What a transition away from legacy systems looks like and the benefits it can offer in terms of resource elasticity and scaling up the numbers of models produced compared to traditional models.
- How to deploy a complete high-performing alternative SAS Language environment and a look at industry use cases and common implementation journeys
- How you can easily include modern programming languages into your models for swift deployment, removing frustrating devops blocks.
- How to leverage the decades of investment in legacy systems whilst incorporating the best of what modern analytics systems can offer and continue utilize the resources ideally suited for your organizations modeling building process.
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