Dark data is data which is not ‘seen’ by the business: not ‘seen’ because it is not ‘known’ about and therefore, not used. Dark data typically includes a significant amount of unstructured data, such as: graphics, photos, scans, free text in e-mails & social media, audio-visual files & biometric information. Dark data can be as…
No knowledge, no AI? If you want meaningful results from an AI or ML project, then make sure your data house is in order – data, metadata, content & their curation – otherwise you are just fuelling your systems with your past mistakes. Of course, it may be an expensive way of doing it, but…
Do you ‘know your content’? Organisations typically only ‘know’ 20% of their digital content. Your searchable content may not be as large as Google’s, but 80% of your digital estate is still a lot of knowledge value going begging! Sir Tim Berners-Lee proposed semantics as a way of applying logic to the vastness of the…
Why you need our knowledge strategy workshop Most organisations possess 80% unstructured content, most of which is under-utilised because it is not understood; is too big to easily or effectively search; is split amongst applications causing downstream integration costs; is difficult to govern reliably or manage cost-effectively. That’s 80% of your digital estate which is…
Given that data sources may include the following, the chances of your migration (to cloud) working first time round, are very small: Each cloud has its own characteristics and may be informed by: Different data sources require different discovery and preparation: If the source data is in a packaged application, this does not necessarily guarantee…
Rekognition represents a significant step forward by Amazon in the digital battle to understand and grasp unstructured content via metadata.