Ai data quality

1. How to Improve Data
Quality for AI and
Machine Learning?
PRESENTED BY TYRONE SYSTEMS

2. AI helps in improving data quality by
automating the process of data entry
through implementing intelligent
capture. This ensures all the necessary
information is captured, and there are
no gaps in the system.
Automatic data capture

3. AI can be used to eliminate duplicate
records in an organisation’s database
and keep precise golden keys in the
database. It is difficult to identify and
remove recurring entries in a big
company’s repository without the
implementation of sophisticated
mechanisms.
Identify duplicate
records

4. A small human error can drastically affect
the utility and the quality of data in a CRM.
An AI-enabled system can remove
defects in a system. Data quality can
also be improved through the
implementation of machine learning-
based anomaly.
Detect anomalies

5. Apart from correcting and maintaining
the integrity of data, AI can improve
data quality by adding to it. Third-party
organisations and governmental units
can significantly add value to the
quality of a management system and
MDM platforms by presenting better
and more complete data, which
contributes to precise decision making.
Third-party data
inclusion

6. Our Social
Pages
FACEBOOK
www.facebook.com/tyronesystems
TWITTER
www.twitter.com/tyronesystems
BLOG
www.blog.tyronesystems.com
Find out how Tyrone AI can
supercharge the productivity
of your business? Get in
touch
info@tyronesystems.com