NarrativeWave has a client currently in our pilot process who has exceeded their business goals within the first few weeks of starting the engagement. The power of preparation is one of the key ingredients to a successful pilot. Let me share a live experience with a Top 5 global renewables company with whom we are currently executing a paid pilot.

As companies engage in the implementation of analytics and data science applications, many challenges lie ahead. According to the Harvard Business Review, many data science applications fail due to poor goal definition, a lack of understanding of the key data, or a lack of focus on business value. We believe the best route to data analytics and particularly analytics for the Industrial Internet of Things, must have several key elements.

The terms Big Data, Data Analytics, Artificial Intelligence (AI), and Machine Learning (ML) are being used increasingly in articles and publications about energy - but what is the real intrinsic value customers are trying to achieve, and what are some of the specific types of analytics that can have a real impact on generating assets?