AI (Artificial Intelligence) has been a center of several topics in the last many years. It has been a topic for health care from vendors, to practices, all the way to federal government. The reason it’s on this stage is that the compute power has become so inexpensive and the data accessible that it is less expensive to create and deploy machine learning algorithms. There are two challenges when looking at the business cases to invest in AI are, identify true AI from augmented information, or advances in analytics and from true AI with machine learning algorithms and not just statistical analysis. The assessment requires a technical acumen, which we can help with.

The data governance will guide the data feeds and organization of the data. This becomes essential for AI or augmented information initiatives. The best use case for this comes from MIT. They were doing a AI project having machines learn digital images from radiology. These images were from patients who were suspected of having breast cancer. The machine learning was to review the images and detect areas where a tumor may be present.

The first group of images were very successful. The machine learned and was more than 85% accurate. This was very encouraging and another 3 years of data was loaded into the system The machine learning became more than 95% accurate. This raised suspicion more than celebration.

After further investigation it was discovered that the new images came from an updated system that had arrows pointing to suspicious attributes on the image. This wasn’t always indications of tumors, but grouping the arrow indicators and the name of the physician on the image the machine learning algorithm became very accurate. It wasn’t because of the image, but the attributes added to the image, in other words, the change to the data changed that outcomes.

This is why Data Governance and data planning is so important. This is where Data Shepherds can help you with. The planning, organizing, and testing of the data for AI to be successful is key and should be a part of an organization’s operational processes.

Reach out to The Data Shepherds to learn more.