The remarkable and rapid development of AI and Machine Learning techniques for supervised learning has generated a high level of interest in applying algorithms that enable companies to solve use-cases such as predicting consumer sentiment and churn.
Utilitiy companies which fail to proactively embrace and invest in taking advantage of new data related technology but instead continue to operate their infrastructure with legacy methods will risk increased competition from both existing and new market participants. These new players treat data as core to their business. Utilities that continue a trajectory of investing in and maintaining outdated technology will lag and may risk acquisition or worse. Those who successfully reconstruct themselves as data-driven next-generation utilities will have a bright future.
- How Utility Firms can start building their AI and Machine Learning Capabilities
- Real-world business cases and Application of AI/ML techniques in Utility Operations
- How to demonstrate the limitations of pure predictive models and outline solutions
- An Introduction to AWS AI and Machine Learning Platform