Applied Strategies for the IoT

Chair’s Opening Remarks Day 1

• 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.

• Exploring which Digital Technologies can increase business optimisation, rather than unnecessary adoption.
• The power of Edge for optimised processes.
• Finding the balance – the importance of cultural progression and sustainability capabilities to enable the workforce.
• Looking beyond productivity and growth, how else can IoT be leveraged for better ROI?

• How disruptive technologies are allowing manufacturers to reach ROI in a low-margin industry, from IIoT to Edge Computing and the Cloud.
• Understanding your ‘Data Cake’ – Optimising all aspects of the business, not just an element for true efficiency.
• Living in the age of Industry 4.0 – How predictive maintenance and other key industry technologies have changed optimisation and sustainability.

• 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.

• At the heart of Industry 4.0 is IoT and machine learning – what is the process for breaking down the mass data gathered to develop operations?
• How do you integrate M2M devices into your current infrastructure?
• Are we reaching a stage in industry 4.0 where we can operate purely from fully automated systems?

• As data typically comes from third party sensors, does this data belong to them or to your own device?
• Does data ownership need to be regulated as companies are able to monitor more and more our everyday interactions, emotions ad behaviours?
• The importance of identifying where your key data is before you aim to regulate it – an example of this in industry.

• 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.

Chair’s Closing Remarks Day 1