Our Technology
We learn from you for the most accurate solution
What’s The Problem with Current/Old Solutions?
Every organization has their own unique approach to matching data. Which means that accuracy is measured by aligning the solution to the organizations approach. Most services do not custom fit solution to each organization which will be far from accurate. Imagine asking an external service to guess at matching your data. ​​ We don't guess but rather our machine learning service will "learn" from your organization and perfectly align our algorithm with your approach. Essentially our service becomes a virtual team member that can execute at scale and speed.
Our Technology
Identity Match Service made simple and accurate
Why Machine Learning Is a Better Technology
Drawing from our 17 years of expertise in matching technologies, we've extensively worked with all three primary approaches: deterministic, probabilistic, and machine learning. Our experience has conclusively shown that machine learning stands out as the superior method for data matching.Key advantages of machine learning in data matching:
Adaptive Capabilities
ML models can learn from new data patterns, continuously improving their matching precision over time.
Scalability
ML algorithms efficiently handle large, complex datasets without sacrificing speed or accuracy.​
1
2
3
4
5
Unparalleled Accuracy:
Machine learning algorithms consistently outperform traditional methods, delivering up to 30% higher accuracy rates.​
Nuanced Decision-Making
Unlike rigid rule-based systems, ML can capture subtle relationships in data that humans might overlook.
Reduced False Positives/Negatives
The sophisticated pattern recognition of ML significantly minimizes erroneous matches or missed connections.
By leveraging machine learning for your matching needs, you're not just adopting a technology – you're implementing a solution that evolves with your data, ensuring the highest level of accuracy and efficiency in your data integration efforts.
Why Machine Learning Is a Better Technology
​As Experts In Match
we have experience in all 3 match technologies; deterministic, probabilistic , and machine learning and we can say that machine learning is by far the best approach to the match problem. All traditional match platforms, IBM, Epic, Cerner, Meditech, Informatica etc... use old technology to try to solve the problem.
Will Your Approach Meet Our Match Requirements?
Absolutely, Our approach customizes it's approach to meet your needs better than any other approach on the market.
​Other Match Platforms
IBM, Informatica, Epic, Cerner, Intersystems, Quadramed etc… create tasks, which are potential matches that are left by these platforms for humans to resolve. AI Steward steps in and resolves them, making the machine learning approach more accurate.
Can I trust Machine Learning Technology?
Absolutely. Just as you trust your current match platform, machine learning is a better and more accurate technology than older approaches.​​
Machine learning is a non-linear
technology that can apply match logic that mirrors a customer's requirement much closer and can do so through a simple use of data samples rather than configuring algorithms.
Does your approach work with other MPI/EMPI Platforms?
Absolutely, our solution can work with other technologies and resolve those matches the other platforms cannot.
​The Number One Goal
But how data is matched is seen differently by each customer which means a custom match approach, tailored to their needs, is an absolute requirement for the best accuracy. One-size fits all solutions will not achieve the same level of accuracy.
​Is This Approach Reliable?
Absolutely, once trained and tested the answers will always be 100% consistent.