GDPR: threat or opportunity?

Talk #1

GDPR: threat or opportunity?

In May 2018, the European Union’s General Data Protection Regulation (https://en.wikipedia.org/wiki/General_Data_Protection_Regulation) (GDPR) will take effect. Companies that do not comply might be fined 20M, or 4% of their annual global turnover, whichever is greater. Despite the evident threat, GDPR is also a huge opportunity to rethink how your business works, and turn that threat into an opportunity. In this talk, we will show how GRAKN.AI (http://grakn.ai/) – a knowledge base – provides everything you need to turn your centralised record of users, as required by GDPR, and use it to provide value to your users. Adding them to a knowledge base, as well as your content or product, can open many new perspectives.

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About

Samuel Pouyt (https://www.linkedin.com/in/samuel-pouyt/), Web Specialist, European Respiratory Society (https://www.ersnet.org/)

https://secure.meetupstatic.com/photos/event/9/0/2/1/600_466536897.jpeg

Samuel Pouyt (https://www.linkedin.com/in/samuel-pouyt/) is a software architect and full stack developer at the European Respiratory Society (https://www.ersnet.org/) (ERS). His curriculum reflects his interests and curiosity. He started in mechanical automation, then obtained a Master of Arts in English Linguistics, American Literature, Russian and Musicology, while working as a developer. He is currently working on Natural Language Processing solutions and recommendation engines for the ERS while taking care of numerous websites and applications.

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Event Details

Date: Tuesday, January 16, 2018

Address: CodeNode, 10 South Pl, London EC2M 7EB

Timings:

18.30 - 19.00: Networking & Pizza

19.00 - 19.45: GDPR: Threat or Opportunity?, Samuel Pouyt

19.45 - 21.00: Networking & Drinks

Don't forget register on Skillsmatter:
skillsmatter.com/meetups/10451-gdpr-threat-or-opportunity

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What is Cognitive & AI Data Infrastructures?

AI and Cognitive systems process knowledge that is far too complex than traditional datasets that current databases were made for. Current databases could not model complex domains and the query languages are not capable of interpreting complex data relationships. Therefore, these knowledge-oriented systems require much advanced data infrastructure to meet the needs of Artificial intelligence computing.

In this community, we will discuss various use cases in AI and Cognitive computing and the data infrastructure built to support the system. We will discuss the applications of relational databases, NoSQL databases, graph databases, as well as hyper-relational databases such as GRAKN.AI tailored for knowledge-oriented systems.

The group is for engineers to demonstrate their solution and share the lessons they learnt, as well as business stakeholders who have implemented or invested in AI and Cognitive computing systems in their organisations.

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