BKO AI’s Common Model combines market and trading data with plant maintenance, inventory and operational data.
By Shaun Wright.
Brief description:
It’s important for every application used by an energy supplier to use common asset and configuration definitions. This is critical where enterprise-wide simulations are using the massive volumes of data stored by Databricks for enterprise-wide logistics and operational optimization.
BKO’s Common Model combines market and trading data with plant maintenance, inventory and operational data to produce a level of optimization far beyond simple plant maintenance and inventory management. The vast amounts of operational and financial data that can be stored in Databricks and managed by Unity Catalog and BKO AI’s Common Model, enables the synchronized exchange of the situational information required for enterprise-wide optimization and supporting better business and operational decision making.
Today, BKOAI is excited to be a launch partner for the Databricks Data Intelligence Platform for Energy:
This is Databricks’ first industry-specific data intelligence platform built on the lakehouse architecture for energy customers.
With Databricks’ Data Intelligence Platform for Energy, energy leaders are enabled with a centralized data and AI platform that can democratize data access to their entire enterprise by delivering the full value of asset, operations, environmental, and customer data to deliver a safer, more reliable, and smarter energy system.
BKOAI is developing its Common Model using the Databricks Data Intelligence Platform for energy to deliver an open, flexible data platform infused with AI. This solution aims to provide one model, a single source of truth by integrating real-time and financial applications across the enterprise. Integrating vast amounts of real-time data with financial systems to inform business decisions is a common challenge, particularly in the continuous manufacturing industry. The Common Model’s ability to synchronize and maintain contextual information between applications leverages the value of your data to help you predict, plan and schedule for optimized productivity throughout the supply chain.
Building and maintaining the same reference configurations for all applications.
Analyses and predictions produced using different asset configurations between applications provide for inaccurate planning and scheduling, and confusion reigns while the problems caused are resolved. In the worst case, wrong decisions based on faulty data can seriously de-optimize a business or operational plan.
The Common Model is just that, it provides and maintains a set of common asset attributes and connectivity between different applications and provides a means of editing this information in one place, and having it reflected to all applications immediately.
Routing all configuration data through a single node enables the information required by a particular app to be routed to that app, and also provides a single point of access control.
Synchronizing time information across the enterprise:
Turning an optimized production plan LP or continuous plan into a compliant and viable schedule. The Common Model helps to synchronize past, present, and future simulations so that the plan can be turned into a discrete schedule using the best data available. This is particularly important where discrete operations use a continuous plan to formulate a daily schedule. This is the case with most “flowing” use cases, such as a refinery.
Supporting look-ahead trading and hedging:
It is difficult for a trader to decide to close on a trade that involved supply materials that will not hit the manufacturing process for a period of weeks or even months without a clear operational schedule that describes the predicted state of the process at that time.
By tying together all the operational real-time and business data and synchronizing across time, the Common Model is able to provide a good estimate of that future state, and thus inform the trader whether the trade is viable or not.
Linking data through time and process, such as in any flowing operation, enables the business owner to make informed decisions across global operations.
To learn more about the Common Model,
please visit our Common Model Page.