AI Challenges

AI has the potential to accelerate organizational productivity and operational decision making. Integrated as a vital part in operational- and analytics systems, providing services like anomaly detection, checking for compliance, making recommendations and relating chat sessions to structured data.

The success of AI algorithms based on structured data input, largely depends on the quality of the data collected from different sources. If the labelled data contains ambiguity, overlaps or contains uncertainty in classifications, it will render poor input. The result will be poor outcome with the risk of making poor decisions. 

inorigo® provides an interconnected metagraph based platform that serve AI algorithms with contextualized and precise labels to deliver more accurate nuanced insights.

Metagraph Technology Supporting AI

Thanks to sophisticated modeling, categorizing, governance and integration capabilities, the structured inorigo® data can provide data points that leaves no ambiguity about their classification, concepts or categories. This leads to outcomes of high quality.

By keeping a universal metagraph based model in one place, labelling and classifications can be distributed to the transactional systems, to be used by the integrated AI.

Black Box AI vs. Explainable AI 

Many AI implementations are based on a black box approach. The ML algorithms reach conclusions from the data input, but the process by which the program arrives at these conclusions is not transparent. In many cases even the developers cannot explain or understand the actual logic behind the result.

This raises questions around accountability, trust, transparency, and legal consequences. Who will be accountable for the conclusions? The algorithm or the human person?

In contrast, Explainable AI (XAI) is transparent about how it reached its output, enabling a decision maker to understand which factors influenced its conclusion, which makes XAI more trustworthy and transparent. 

By having inorigo®’s metagraph-based model in place it will be easier to implement the XAI approach and facilitate transparency.

Through comprehensive data integration, enhanced metadata management and improved data quality inorigo® reinvents Data Governance. Secure data sharing is facilitated, promoting transparency and accountability.

To truly understand how your business operates, responds to changes, and delivers value to customers you need to implement a dynamic digital model of your entire organization. The only technology enabling these connections spanning from conceptual to specific level in one and the same model is a metagraph.