A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.
More templates for causal inference: Evaluate data feasibility more accurately and efficiently by checking causal effects in data related to marketing campaigns, customer interactions, and price setting.
More prototypes for LLM-powered use cases: Prototype GenAI solutions for applied use cases such as data cleanings or system integration faster.
Readiness assessment and requirement gathering questionnaires: Expedite project scoping, identify risks sooner, and avoid overlooking important requirements and readiness gaps.