From Big Data to Smart Data: Energy management using Cognitive Computing


Building energy utilization is influenced by many aspects, a factor which makes it difficult to detect and diagnose abnormal usage within a reasonable timeframe.

 This talk will discuss how adaptive machine-learning models, which explain the building energy usage by individual influences such as day of week, weather (using The Weather Company) occupancy, etc. help energy managers and building owners to:

  • Understand energy flow 
  • Predict energy utilization 2 days in advance
  • Learn normal energy usage data based on energy use, weather and occupancy
  • Receive automatic notification of anomalous usage
  • Easily identify and solve issues.
  • Reduce energy and maintenance costs

Who should attend this session?

Architects, Corporate Real Estate Managers, Energy Managers, Facilities Managers, IT professionals working alongside these roles, Consultants.

What will delegates learn from this session?

Delegates will gain an understanding of how cognitive computing can be utilized in energy management.  This will be combined with an understanding of the benefits that can be derived from this approach and guidance on how to approach potential projects.

Why is this issue of interest to delegates?

Organisations are under pressure to continually improve energy efficiency. The advent of technologies such as AI and cognitive computing have profound implications for both areas.


Claire Penny, Global Leader for Watson IOT for Buildings at IBM

D2 Connected 10:45

Claire is a member of the extended leadership team in the IBM Watson IoT business unit.  She has a record of successfully converting innovation projects into commercialized revenue generating products, and, for driving results across matrixed global teams. She is renowned for her passion, getting things done, love of evangelizing, and sharing IBM capabilities with internal and external audiences. She attained her PhD in 1998.

Claire is the Global Leader for Watson IOT for Buildings. Claire gets to combine all her passion, experience and learning from the past 17 years and focus it into IOT for Buildings and Retail, focusing on the operational phase of a building. This combination means that she can add value to customers, whilst working and collaborating with brilliant teams, to develop and deliver cognitive building solutions. In this role, Claire is also driving IBM’s thinking and vision to strategically shape IBM’s Buildings and Retail cognitive (IOT) solutions, which are helping clients to drive operational efficiencies, cost savings and even generate new revenue streams.

She regularly shares her knowledge and passion through public speaking, publications and social media activities. Delivering presentations on topics such as Cognitive Buildings, IoT, BIM, IWMS, Energy Optimisation and Environmental Affairs.

Not one to sit still even after hours, Claire’s external commitments include:

  • Chair of the CitA BICP (BIM Innovation Capability Programme) Client BIM Task Group, Ireland (Jan 2016 – present)
  • Non-executive Director of WEEE (Waste Electrical & Electronic Equipment) Ireland, (2005 – present)