Collaboration and cooperation is instinctual and an essential driver of innovation. Computer Weekly brought this interesting information to our attention in their article, “How data sharing and collaboration can solve great challenges.”
In the field of data science, collaboration has created a thriving open source community that is built on data sharing and the exchange of expertise, and has even led to ground-breaking advancements in the field itself.
Managing data and creating insights is not enough to accelerate digital business transformation. These activities must deliver measurable business outcomes.
Many organizations inhibit access to data, preserve data silos and discourage data sharing. This undermines the efforts to maximize business and social value from data and analytics.
Data sharing is the way to optimize higher-relevant data, generating more robust data and analytics to solve business challenges and meet enterprise goals.
Making the content findable is important to knowledge management. However, findability works only when a proper taxonomy is in place. Proper indexing against a strong standards-based taxonomy increases the findability of data. Access Innovations is one of a very small number of companies able to help its clients generate ANSI/ISO/W3C-compliant taxonomies.
Melody K. Smith
| Data Harmony is an award-winning semantic suite that leverages explainable AI. |
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Sponsored by Data Harmony, harmonizing knowledge for a better search experience.
