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Jasmine Wilkes Gordon
Big Data Technology Writer

Jasmine Wilkes Gordon (née Jasmine Henry) is a Nashville-based analyst with professional interests in energy, data analytics and big data technologies. She holds a MS in Informatics & Analytics from Lipscomb University in Nashville, where she also completed a graduate certificate in Health Care Informatics.

I am an independent writer reporting on industry topics and trends, the views expressed in my content are my own and are not endorsed by IBM.

Analytics for renewable energy storage integration: Predicting the unpredictable

Analytics for renewable energy storage integration: Predicting the unpredictable

December 16, 2015 | by Jasmine Wilkes Gordon, Big Data Technology Writer
Renewable energy storage and predictive analytics have the potential to solve challenges in the wind and solar energy field. Advanced analytics, IoT technologies and energy storage technologies provide energy and utility organizations the opportunity to increase the sophistication of their demand...
The future of wind energy: Seamlessly powering urban areas

The future of wind energy: Seamlessly powering urban areas

December 14, 2015 | by Jasmine Wilkes Gordon, Big Data Technology Writer
Sophisticated urban developments will play a key role in the future of wind energy. As areas with higher population densities consider integrating high-tech wind developments, city planners and energy providers must adopt some of the latest technologies and approaches to preliminary impact modeling...
Shaping a global energy solution: Analytics for renewable insights

Shaping a global energy solution: Analytics for renewable insights

December 7, 2015 | by Jasmine Wilkes Gordon, Big Data Technology Writer
As governments increase reliance on clean energy, provider analytics plays a crucial role in developing a global energy solutions. China and Germany are two examples of countries leading the way in renewable energy adoption and the potential economic impact of clean energy.
Mining user-generated energy consumption data for profit-driven insights

Mining user-generated energy consumption data for profit-driven insights

August 18, 2015 | by Jasmine Wilkes Gordon, Big Data Technology Writer
User-generated data can be rich with insights on consumer perception, priorities and response. This is often an untapped or underutilized source for organizations in any industry, despite having big implications for customer experience management. For utility companies in particular, user-generated...