Applied Strategies For The IoT

• What are the current challenges across the IoT space including, granular data, data protection, security and legacy equipment?
• What technologies are enabling operators to adapt and overcome these challenges?
• How industries are adapting to new business models and thriving from IoT enabled processes.

• What are the best practices to achieve an intelligent enterprise?
• How can IoT help enable transformation?
• Examples of these solutions in practice

• How digital transformation will change how enterprises operate and deliver value to customers.
• What role can integrating IoT play in improving service delivery, health and safety and efficiency?
• What else can IoT vendors do to aid digital transformation within their customers businesses – discussing future technologies and directions.
• Examples of how enterprises have successfully employed IoT to digitally transform their businesses.

• Breaking down silos – barriers to entry.
• How to evaluate new technologies for your business.
• Understanding the risks.
• How to make strategic decisions that are right for your company, not just your technology strategy.

• What is Cloudification?
• How a full shift to the cloud for business processes will enable digital transformation across industries.
• The security flaws inked with Cloud and Edge computing and how these can hind utilisation.
• Where to start with this process and the evolution of the ‘cloud broker’ title.

Session overview to follow soon ….

To follow soon ….

• The Edge is a data-rich environment – how do you integrate this technology into your current infrastructure?
• How to maximise the key data you gather.
• Looking further at how to extract business value from this data-rich environment.

• Discovering the challenges and opportunities modern manufacturing presents
• How to apply a 3-D approach based on:
  • Bringing new skills (internal, open innovation, ecosystem etc.)
  • Strategy and governance (including change management)
  • Infrastructure (data lakes)
• Leveraging this strategy to scale-up machine learning and AI
• Examples of enterprise-wide value creation:
  • Our Smart Innovative Operations program e.g. predictive maintenance, detecting energy drifts, optimization through a digital twin etc.
  • What perspectives and other use cases for Air Liquide and the Industry

Session overview to follow soon ….

• Identifying target-rich, high-value data that can be used to generate actionable insights.
• Using cloud analytics platforms to derive value from IoT data.
• Discussing the barriers to widespread IoT/ AI /Big Data value delivery and how these might be overcome.
• Real time data analytics in practice – examples of how IoT / AI data is creating business efficiency and revolutionising working practices in the predictive maintenance space.