AI Steward

Save Money

Increase Accuracy

Problem

By investing in an MDM / EMPI / MPI platform you recognize the need to match your data accurately and completely but all of these platforms fail to match the entire population of data and leave the unresolved matches as potential duplicates (also known as tasks, suspects, worklists, reviews etc...) for humans to work manually.

This leaves Two Options

Ignore the Problem

This leaves unmatched records which lowers overall accuracy.

Get A Data Team

This is costly and very time consuming.

Approach

There are 3 steps to resolving any potential duplicate on any platform:

  1. Get the Potential Duplicate out of the Platform

  2. Examine and Make Decision on the records

  3. Put the Answer back into the Platform

This is true whether you are doing this through a team of people or through an automated process.

AI Steward works in conjunction with your existing platform to help resolve these tasks.

Engagement

How do we engage?

We can engage:

  • As a one-time project to eliminate a backlog and allow your data team to  catchup (a services engagement)​​

  • As a subscription where we continuously resolve an ongoing workload 7x24x365

  • As a file based engagement where we receive a file of potential duplicates and return them resolved.

How AI Steward Works

Why are Data Stewards able to resolve tasks when the MDM/EMPI/MPI cannot.

Data Stewards examine a pair of records differently than a match platform that employs a Deterministic or Probabilistic match approach.

A human looks at each of the attributes individually and makes assessments that weigh the balance of which attributes are more important in addition to how well the values match and strike a balance that is not possible from traditional approaches.

 

Machine Learning, what AI Steward uses, approaches the decision making process exactly the same way a human does.

It learns from the data steward and can see what the data steward see's when making the decision.

Solution

AI Steward can resolve tasks on platforms or file based projects

(e.g. MPI Cleaups) at 20x the speed of a data team and at 1/3 the cost.

And as a machine learning technology

it will learn the match behavior from your

team and mimic their accuracy while

saving money.

To see an AI Steward customer example click here

To watch a webinar about AI Steward click here

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