How do I get started with Decision Intelligence?
Here are the keys to getting started with Decision Intelligence:
- Data fabric must be in place
- Investment in AI/ML models
- Experienced SME team
- Start with a focused use case
- A data-driven culture focused on driving business value vs. self-service
Having a data fabric in place is a critical prerequisite to decision intelligence.
Decision intelligence platforms are consumption platforms – they ingest existing data and use your AI and machine learning models to produce contextual recommendations. Most organizations today have AI or machine learning models to support specific analytic goals. Popular tools include DataRobot, H2O.ai, Dataiku, SAS and increasingly AI and machine learning services from AWS, Google and Microsoft. Diwo’s Decision Intelligence platform can consume information from any of these vendors. Additionally, Diwo does not require changes to the models to leverage them within the platform itself.
Subject matter experts are also critical. It is essential to keep people with institutional knowledge involved in operationalizing your DI system to fine-tune AI. Despite its ability to supercharge analytics with automation, a DI system will benefit from a human to deliver the necessary continuous tuning and adjustment.