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Open Data Labelling Standard for Automated Driving

Machine Learning (ML) techniques enable automated driving. The techniques help a vehicle perceive its environment and process the data it collects. To ensure reliable functioning, ML algorithms require high-quality annotated data. However, the large volume of data and ambiguous labeling prevent the data from being reused and shared, and the results being reproduced. Besides open […]

Sub-Ontology for International Patient Summary

SNOMED International announced it would create and release an open, standalone International Patient Summary (IPS) sub-ontology in the first half of 2022, which will support international data sharing. According to SNOMED, implementers will be able to leverage the IPS sub-ontology in healthcare tools using SNOMED CT through its query language and hierarchies for specified scopes. […]

How Ontologies Help Enterprises Overcome Data Challenges

Today most enterprises in their endeavor to be data-centric, face challenges like disconnected and heterogeneous data; legacy infrastructure that cannot scale; and complex data that analysts are unable to utilize. Ontology can help an enterprise overcome these challenges. Technically, an ontology is a set of statements. Each statement is triples made up of a subject, […]

New Taxonomy for Aiding Privacy by Design

Privacy by design is conceptually simple. It is putting privacy into practice in system architectures and software development from the beginning and throughout the system lifecycle. However, system developers and privacy engineers responsible for implementing it face many simple but hard-to-answer questions. The first release of Fides, an open-source, human-readable description language, constitutes a step […]

How Artificial Intelligence is Transforming Due Diligence

During mergers and acquisitions, enterprises need to understand quickly the company’s IP, the IPs of the competitors, and the way the product offerings could affect the technology landscape. For a small team on a budget or deadline, keyword searches and technical expertise in the subject are insufficient to accomplish this. Advancements in Artificial Intelligence (AI) […]

The Benefits of Having a Marketing Taxonomy

The benefits of implementing a marketing taxonomy range from how marketing assets get distributed with improved personalization, to ensuring the data used in the assets are privacy compliant and even brand safe. Besides, the interconnectedness the taxonomy offers allows marketers to measure the effectiveness of campaigns, content, coupons, catalogs, and other assets. A marketing taxonomy […]

Version 1 of the ASEAN Taxonomy for Sustainable Finance Released

The ASEAN Taxonomy Board (ATB) released the ASEAN Taxonomy for Sustainable Finance (ASEAN Taxonomy) – Version 1. By introducing a common language across ASEAN for financing sustainable economic activities, ASEAN finance sectoral bodies have taken a significant step towards meeting Paris Agreement commitments. The ASEAN Taxonomy represents the collective commitment of ASEAN Member States (AMS) […]

A Standard for Streamlining Access to Biomedical Datasets

Researchers require permission to access sensitive biomedical datasets, which slows down research. Permission for accessing and sharing biomedical data is needed because the data has to comply with legal, ethical, and informed consent rules and regulations. The Data Use Ontology (DUO) standard is designed to streamline these processes. For retrieving and reusing biomedical datasets, researchers […]

Transforming Customer Service with Semantic Artificial Intelligence

When it comes to designing modern customer self-service strategies, how do enterprises create a great human-like experience for customers when no human is involved? How do they mimic the personalization and meaningfulness of a human-to-human engagement through self-service interactions? The answer to these questions is through semantic Artificial Intelligence (AI). Understanding user intent is a […]

An Approach to Developing a New Discovery Data Architecture That Supports New Modalities

The development of medicines from any modality in pharmaceutical research is a data-driven activity. The activity involves effective representation of substances and the efficient capture and presentation of research data for key decision-making. Considering the rate at which new modality types are being developed, there is a need for developing an alternative architecture for pharmaceutical […]