Advice to Humans or Automate Decisions
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The IMS consulting team includes numerous Data Scientists, who are able to develop predictive and prescriptive models
that provide advice to humans, or automate decision-making. IMS’s Data science capabilities bring together multiple data
science modalities and approaches to provide predictive insights that can be used to improve decision-making.
This includes:
- Development of bespoke data models to integrate disparate data from multiple data sources into single view / source of truth
- Implementation of classification algorithms (including Decision Tree, Random Forest, Naiive Bayes etc.) to enable categorisation and segmentation of groups of customers / assets / products etc.
- Implementation of recommendation engines (including collaborative and content based methods) to assist with operational processes.
- Asset management reliability-centered maintenance models that determine whether to replace or maintain network assets such as pipes, roads or powerlines.
- The use of recommendation engines to determine the next best action or conversation with a customer or citizen e.g. offering them a renovation loan because they’ve just had a child; advising insurance customers to move their vehicles to avoid a potential hail storm
- The use of decision trees to determine whether to pay an invoice based on contractual terms.
