Energy in 2022 is facing significant changes as demand soars. The world dynamics and increased demand has complicated all aspects of the way transmission providers and renewable providers interact with supply chains and electrical grids. These market changes are made more complicated with Federal and State & Local government safety standards that include wind, fire, and storm regulations. Further complicating the landscape is the rise of IoT information, ML and predictive analytics that the Department of Energy is touting as "Building a Smarter Grid" to spur the development of new long-distance, high-voltage transmission lines.
During this webinar, we will discuss how to create a competitive advantage through leveraging Graph Analytics and Machine Learning technology with Visualizations, which helps many industries: gas pipeline, smart cities, energy suppliers and distributors, oil & gas supply chains, oil field asset management, and utility companies better manage complex networks and real time end to end visualization by modeling the myriad relationships and dependencies in a way that closely mirrors real life scenarios.
Designed as a ‘Lighting Round’ format, this event will focus on key topics for under 15 minutes in order to maximize insights.
Expero and Neo4j's team of experts will show you how to utilize Graph, Machine Learning, and Visualizations to unlock the potential in your organization.
Unique Challenges in Energy and Related Industries - discussion about why managing complex electrical grids, complex networks of IoT devices and 'smart' platforms is so difficult, and technology options to help mitigate the complexities
IoT, Innovation & Technology - importance of utilizing real-time grid views, assets, IoT meters and data using new technologies like Graph Analytics and ML, and how they assist in the reduction of false positives to increase accuracy
Empower the Network Analysts & Risk Team - capabilities in visualization and human intelligence technologies that will increase throughput and provide valuable data analytics, create quicker and more efficient outcomes for IoT and Data and Analytics teams, Capacity Planners, Asset Managers, Risk Managers, and Predictive Maintenance teams
Visualizations with Explainable ML - How to implement practical methods of cyber identification, complex dependency, and case management using ‘human-in-the-loop’ technology for higher accuracy and process streamlining