Monetizing IoT Digital Summit
Big data. Big questions.
Future proofing: enable intelligent investment decisions by understanding the high level concepts which will shape your future opportunities to use big data.
Big data versus smart data: discover how to target and unlock which data sources are valuable to your business.
Epicentre energy: when and where should data be mined?
Standards and fragmentation: up to date guidance and advice from the experts at the forefront of technology
Scalability: learn from real life case studies to future-proof your architecture
Pushing the limits: understand how developing data mining techniques will change the way your business can utilize and present data.
Man or machine: evaluate the risks of trusting all data analysis to the IoT and gain an appreciation of which human skills will still apply in a digital world
Globalization: how to develop a global system, recognising the variations in privacy laws in different regions
Stepping up: navigating the step change between the old world and the new – and can security scale up alongside?
Compromise: managing the conflict of interests between security and big data
Putting it in context: data lifecycles and the legacy of data
Embedding security: it may currently be economically unviable on a large scale, but is it even desirable to incorporate encryption?
Standards: get the latest industry updates on supporting a multi-layered security policy