14 June 2016
Data & Security: Chair’s welcome and opening comments
Keynote: Data is everything
- Where is IoT data making an impact?
- Optimising the benefits of embedded sensor technology
- Uncovering new economic structures made available by access to intelligent data – How to become a data driven company.
- Can existing data silos be broken by the IoT?
- Consequences for businesses and consumers
Panel: IoT data analytics for intelligent decision making
- Identifying target-rich, high-value data that can be used to generate business intelligence
- Using cloud analytics platforms to derive value from IoT data
- Discussing the barriers to widespread IoT/Big Data value delivery and how these might be overcome.
- Real time data analytics in practice – examples of how IoT data is creating business efficiencies and revolutionising working practices
Scalability of data analytics
- Issues with scalability in data modelling for the IoT; maintaining data quality whilst keeping analytics cost effective and timely.
- Do we need a new computing paradigm to handle this volume of data?
- Big Data vs Small Data
- Importance of structures in scalability – the need for simple but dynamic structures to enable real time data analytics.
Case Study: Privacy/data in Connected Industry
Panel: Blockchain – Building a chain of trust
- How is Blockchain currently being implemented for within the IoT, including and beyond Bitcoin in the financial, insurance and healthcare industries.
- Identity management and provenance for people, things, and IP – how Blockchain can improve your business.
- Addressing the need for interoperability in Blockchain.
Preparing for the future of IoT security
- Preparing for the next evolutions of the devices involved in IoT and how to keep them secure. What do individual organisations need to do to mitigate anticipated security risks?
- Discussing the increasing importance of making security your most valuable asset.
- Saving your products from cybersecurity attacks – how to safely secure IoT products to limit consumer security concerns as a potential barrier in the purchase decision
- Implementing security that can enhance flexibility to support future proofing and potential new services
Panel: An E2E approach to tackling data security challenges of the IoT
- Understanding the unique challenges of security for the IoT, and that every party in the supply chain needs to understand these risks from chip vendors and software developers to ODM’s and service providers.
- Enabling data security in IoT – protecting integrity, authenticity and confidentiality of information
- Addressing the risks of big data – greater volume of sensitive data creating a greater risk of data and identity theft, device manipulation, data falsification, IP theft and server/network manipulation etc.
- What are the different considerations for consumer owned connected device vs. those owned by legal entities?
- Importance of other aspects of IoT security; testing, education of staff and physical security.
Overcoming privacy and security as a barrier to consumer adoption
- Exploring issues of privacy – to what extent users require privacy, and how it can be maintained whilst still making data useful
- Public concerns over security as a barrier to open data sharing
- Real life examples of overcoming these customer perceptions
- Standards, certification and legislation: how to work your way through the ever changing landscape.
Cloud, Fog & Open Data in Smart Cities: a Case Study
- Data management via the cloud? – Exploring different strategies for making smart use of the width of data generated via smart cities
- How does open data technology help to improve smart cities? From public safety, to urban transportation, water and energy management and public sentiment analysis
- What cloud platforms, data analytics tools and other big data technology are currently available? What are the advantages and disadvantages of using those?
- In what way can cloud-based big data analytics help cities to achieve competitive advantage?