No-code/low-code environment and built-in explainability empower teams to introduce rich, adaptive insights and ML models to business processes company-wide.
Finding the hidden drivers of operational ebbs and flows allows you to avoid problems instead of constantly reacting to them.
In discovering novel and subtle patterns, including complex multi-dimensional combinations, AI accurately identifies the most impactful variables on your KPIs.
Discovery’s production-ready models adapt automatically to changes in the environment, giving you continuous, accurate, and actionable insights and recommendations.
The retail landscape has completely shifted since its installment in the early 20th century. Today, the industry offers customers a limitless variety of choices while it continues to change.
A global mining company wanted to optimize operational costs by reducing fuel consumption for each vehicle across its fleet.
Nearly all existing models have been invalidated by the coronavirus pandemic. They will presumably be invalidated again as the situation evolves as the world recovers. Even after recovery, it is unlikely that we will return to where we started before the crisis began. So how does that affect our data models?
AI analytics helps major banks stay connected to their customers – especially during the dramatic rise of online financial management use. As leading banks apply a range of strategies to navigate the new normal, AI analytics is opening greenfield opportunities to raise profits, combined with agility and ethical responsibility.