How? By using deep reinforcement learning to construct contextual timelines that provide probabilistic predictions for proactive customer engagement and reach-out, before issues arise. We can anticipate high probability events and recommend mitigations proactively.
This is done using our cutting edge Responsibly Applied AI Research approach applied to industry specific models siuch as BioTech, FinTech, Telecommunications and Retail.
Using technology that helps generalize to larger scopes of business scenario sizes, and can learn to navigate in dynamic business contingency environments, we that enable deep learning to plan when the environment also includes stochastic elements, providing a cost-efficient learning system to build low-level size-invariant planners for a variety of interactive navigation problems.