Semantic Artificial Intelligence (AI) emerged as a result of the limitations in Machine Learning (ML). However, it has grown from there to drive semantic search engines with the help of ontologies, semantic extraction using an ontology-based knowledge model, and chatbots infused with the domain knowledge of an organization. But, where is semantic AI heading and how will it impact enterprise automation?
Semantic Artificial Intelligence (AI) emerged as a result of the limitations in Machine Learning (ML). However, it has grown from there to drive semantic search engines with the help of ontologies, semantic extraction using an ontology-based knowledge model, and chatbots infused with the domain knowledge of an organization. But, where is semantic AI heading and how will it impact enterprise automation?
The current state of ML heralds the need for more semantic-based technologies that will deal with complex workflows as well as enhance the efficacies of existing ML applications. Based on this understanding, the future portends that there will be three semantic AI trends that will shape the future of enterprise automation. The first trend would be the emergence of ontologies as the standard bedrock of multiple AI applications. With the proliferation of unstructured information and the creation of data lakes within organizations, ontologies will be needed to document the relationships between data points to eliminate silos and empower existing ML functions. The next trend will be a demonstration of how semantic AIs transparency will build trust. Typically, trust leads to scalability because ontologies are based on accessible and editable knowledge models. Therefore, after an initial setup phase, applications can achieve a semi-supervised or fully unsupervised state and thereby learn and optimize performance without the need for intervention. The third trend indicates AI will emerge as a service. AI is becoming increasingly invisible in its applications and progressive in its business model. Therefore, AI will continue to evolve from a self-build model, where companies build their software and work toward a marketplace model, building, selling, integrating, and upgrading software as a service. Based on these three trends, the day is not far when codeless and semantic AI will bring out the exponential possibilities of automation. Click here to read the original article published by Forbes.
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