The rise of Artificial Intelligence (AI) and Machine Learning (ML) is revolutionizing the way businesses operate. From predictive analytics to natural language processing, these innovative technologies offer countless opportunities to drive efficiency, productivity, and growth. However, with the increasing volume and complexity of data, businesses need to ensure that their business-critical data is safeguarded while leveraging these advanced technologies.
JD Edwards (JDE) is a popular enterprise resource planning (ERP) solution used by organizations worldwide. JDE enables businesses to streamline their operations by integrating various business functions, such as finance, human resources, inventory management, and supply chain management. While JDE offers significant benefits, it also stores sensitive and confidential data, making it an attractive target for cybercriminals.
The question that arises is how to protect JDE data while leveraging AI and ML technologies. At eyko, we specialize in helping organizations protect their critical data while harnessing the full potential of these innovative tools. The eyko data platform can help organizations safeguard their JDE data and leverage the power of AI and ML.
Data Classification and Discovery
One of the first steps in protecting JDE data is understanding what data is sensitive and what is not. At eyko, our JDE Application Intelligence naturally understands the data and can classify the data into either prohibited, restricted or unrestricted states according to its sensitivity level.
Data Masking and Anonymization
Data masking and anonymization are critical in protecting sensitive JDE data from unauthorized access. Data masking involves creating a replica of the data with obfuscated values that can be used in non-production environments. Anonymization, on the other hand, involves removing identifiable information from data sets. The eyko platform automatically obfuscates data that is relevant to pass to an AI engine and translates the AI response back into human recognizable data on its return to the eyko application.
Another way to protect your JDE ERP data while leveraging AI and Machine Learning is through data shaping. This process involves pulling data from multiple systems and cleaning and reconciling it into a single consolidated data source. By shaping your data in this way, you can significantly reduce the volume of data that needs to be passed to an external AI data service. Additionally, data shaping can improve the quality of the response returned from the AI engine.
In conclusion, protecting JDE data while leveraging AI and ML technologies is critical to the success of any organization. The eyko data platform offers organizations protect their sensitive data while harnessing the full potential of these innovative tools. Contact us today to learn more about how we can help you safeguard your critical data and shape it for optimal utilization of AI and ML.