Presented by: Liang Downey, Business Development Executive for IBM’s New Energy and Environment Group
Thursday, October 5, 2017 | 1:00pm – 2:00pm ET
IoT creates huge amount of data and it can become a stress factor for organizations. A Cognitive New Energy System will consume less resources based on knowing the real-time energy demand, weather, consumption, thus it only generates the right amount of energy when and where it is needed. The system not only captures machine2machine and human2machine knowledge from the past by learning from each interaction but also be able to predict future behaviors.
To thrive amid the DER complexity and digital disruption, the new energy sector must overcome struggles unlocking the value of massive amount of IoT data that is largely underutilized to better manage system, offer new customer solutions that delights them, such as energy trading. Cognitive-based systems are unique in their ability to make sense of all kinds of data to build knowledge and provide confidence-weighted actions. This capability is critical to build the new energy future that is more distributed, flexible, efficient and sustainable.
About the Speaker:
Liang works for IBM as a Business Development Executive for IBM’s New Energy and Environment Group. She promotes emerging solutions that leverage IOT, analytics and cognitive computing to better balance the distributed energy supply and demand, eliminate energy waste and reduce GHG emission. Her professional experience spans over 20 years in consulting, program management and emerging technology development across multiple industries. For 5 years at a renewable energy start up, she helped the company grow, from business strategy and partnership to licensing company’s IP.
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