Day 1

29 November 2017

Data & Security

“As organizations step into IoT, they must understand the symbiotic relationship between it and big data. For IoT deployments to really make an impact, they must provide some sort of useful tool or service, while also collecting relevant data.” – ZDNet

Data has been described as the glue that holds the Internet of Things together. With a seemingly limitless numbers of connections, the Big Data generated has potential to streamline business processes, improve profit margins, and assist in customer retention and cost reduction. In these sessions we review how businesses can manage IoT generated Big Data for intelligent decision making. This track will delve into both consumer and business concerns over security which have arisen from the increasing connectivity brought about by IoT. With the application of IoT to an infinite number of devices, and the acceleration of the market, we will be exploring the new areas of technology which are responding to these perceived threats.  


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.


Harnessing the Power of Real Time Analysis in IIoT

  • The future of manufacturing is moving from descriptive to prescriptive analytics and operational intelligence
  • The role of technology such as unmonitored plant and processes; gauges and sensor; remote monitoring by telemetry; semi-automated control and remote reporting of alarms
  • What can predictive platforms: devices that can autonomously adjust parameters based upon measured and received data, and artificial intelligence that creates its own rules and outcomes based on learned experiences play within the modern business?
  • Real life examples from across the industrial IoT.


Networking Break


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.


Panel: The role of hackers in innovating within IoT security?

  • How the sheer number of devices involved within the IoT make it especially vulnerable to hackers, what companies developing and utilising IoT technologies have to consider to protect their devices and data from outside attacks.
  • What role white and grey hat hackers can play in developing secure IoT systems?
  • Discussing the challenges and opportunities in this field, with real life examples from enterprises.


Session Close

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