Why Must You Use Cognitive Computing for GDPR?
Any business that operates in Europe is scrambling to meet the impending deadline on May 25, 2018 to comply with Europe’s General Data Protection Regulation (GDPR). The regulation in itself transforms the scope of data management, security and privacy, and is turning out to be a bigger challenge than the business community initially thought.
The Challenge of GDPR
For the uninitiated, GDPR is the regulation by which the European Parliament and the European Union (EU) look to strengthen and unify data protection for all individuals in the EU. The regulation also addresses the export of all personal data outside the EU. That means stringent parameters of data management and privacy. That means an overhaul of data repositories or customer data from enterprise systems. That also means a noticeable impact on information management processes.
There are a lot of approaches already in the market to manage data that is structured – or is already neatly entered in tables and databases. The labels are well understood in such situations. Some of the leading companies have data processing solutions that take care of personal information.
The problem really lies in all the unstructured data – every business has a large amount of documents, many times untracked, which contain sensitive data – think of all the correspondence, consultant invoices, reports and publications – all the text that is tucked away in corners of an enterprise IT environment. Further, the sensitive data itself does not follow any pattern or predictable structure while in free texts.
There have been many attempts to solve the problem. Manual redaction is the obvious one, and it is also obvious why it cannot work – on all counts: costs, accuracy and subjectivity. There are software products that can spot patterns and names off a list. They work very well within those parameters. However, they are very limited outside of them.
Getting it All Right in One Shot
Complying with the GDPR deadline is one thing. Businesses are of the view that if they are going to make this investment, why not also achieve other related goals. Almost every graph shows that in the coming years unstructured data will outgrow structured data by orders of magnitude.
For example, can some software track every piece of personal data, in all forms, contained within enterprise repositories? Perhaps it can create Single Person Views so that this data can be readily managed, or reproduced on demand. Similarly, can the software track all communications real time to stop inadvertent leak of such data to unauthorized sources.
Businesses also want their investments to be future proof. The patterns and lists that identify sensitive data today will very likely change in the coming years. For example all the social media handles have emerged over just the last 10 years. The nature of the business may change as well. Businesses need something that is self learning and can adapt with changing nature of information.
In short, they want cognitive computing.
Cognitive Computing for GDPR Compliance
Using cognitive computing solutions, all the above is just a matter of installing some software and training it. With options like Coseer, even the training can be done without the need for annotation, and the complete process is 4 to 12 weeks.
Cognitive computing solutions are self-learning, self-adapting and experts at processing unstructured texts in any format – PDF, Microsoft Office, HTML, Text, etc. They are not dependent on patterns, lists or ontologies. They are comprehensive – they manage the imminent GDPR problem, and also provide the platform for better data management in future.
The problem itself mandates that the software must be very secure, behind the client firewall and with impeccable security credentials.
Among cognitive computing providers, Coseer wins because it can train without the need for annotated data. This brings down the cost and time for implementing a solution to weeks. To learn more about why leading consulting and legal firms around the world choose Coseer, click here.