AI For All Employees
Iteru Hides Data Complexity
Removing Obstacles To Analytics By Employees
Iteru’s Top Priority is Accuracy
Lack of accuracy is the main reason for the well-publicized failures in many AI applications. Iteru recognizes that AI accuracy depends on data accuracy, consistency and completeness. It sets the objective of 90% accuracy. In this respect it has developed powerful preprocessing algorithms to attain that goal. The results obtained indicate that Iteru is taking the right path.
Iteru Puts data directly into the hands of domain experts
In many industries data is very complex to the extent that only domain experts understand its intricacy and specialized terms. Data mining performed by those who do not understand the data results in time-consuming erratic data selection, leading to inaccurate AI analysis. An example of such data is biomedical data. Iteru hides data complexity and provides self-service data mining tools.
Tools To Select data based on the objective of analysis
Iteru provides domain experts with tools to set the rules to ensure that data selected is directly related to the objective of analysis. Once the rules are set, data selection is automated. If new data arrives, it is seamlessly included. If the objective of analysis is cancer, only documents related to cancer is selected. Moreover, a domain expert can narrow his selection to a specific type of cancer, oncogenes, enzymes, etc.
Iteru ‘s Data Cleansing
Performing analytics on messy data leads to wrong or statistically biased results. Once data mining and selection is done, Iteru’s data cleansing is performed to remove extraneous and inconsequential data to ensure AI accuracy.
Self-service AI tools
Iteru provides self-service tools for AI algorithms. Domain experts can tune those algorithms, themselves or with minimum help from others, to ensure that they obtain the accurate results.