Head of IoT, SAS UKI
Jennifer has spent her entire career helping organisations use data to support fact-based decision making. This covers the whole process from data collection and cleansing, through creating analytical models, to deploying those models to support strategic and operational decision-making.
During her long career at SAS, Jennifer has worked across a wide range of industry sectors including telecommunications, pharmaceutical R&D, media, retail and services. She has also worked extensively with the energy sector. She relishes the opportunity to support organisations through this time of great change, as we make the transition from carbon-dependency to the use of renewable resources. Another area of keen interest for her is in helping organisations to make better use of their analytical resources across the different departments, by facilitating the implementation and sharing of best practise.
Jennifer has always enjoyed specialising in emerging ‘hot topics’ within the world of analytics. Most recently, with Machine Learning and Artificial Intelligence becoming fashionable (they’re just analytical techniques on steroids!) her focus has been on how to embed AI into operational processes. This includes the ability to speed up decision making using streaming analytics and decisioning technologies.
|Kindness in the new normal Making the right decisions for managing credit & collections for Utilities
|Emerging Technology for Smart Cities, Connected Places & Tomorrow's Digital World Keynote presentation: ‘How to get Smart’
|Connected World Summit
|Managing the Deluge the data from IOT
|Joined a panel of tech leaders to discuss:
cyber security, AI & Robotics, Marketing tech
|Data Presentation and Panel Q&A “Digitalization: How to extract value from data”
|OWI EU 2019 (Offshore Well Intervention
|The role of AI and the Internet of Things in energy retailers
|SAS Energy Forum
|Presentation and panel Q&A “Analytics for the Smart Grid”
|Grid Analytics Europe, London, Sep 2018