In Energy, Environment and Utilities industry the use of Gen AI and Cloud based Data Storage system Saas can help the clients.
Gen AI can be used in industry for Descriptive and predictive analytics.
following are the use cases:
1) Reading Data from Devices: there are use of Advance meter infrastructures, it is providing real time data like Meter Reading remotely, it has improved grid stability and fault detection also. Gen AI can read this data from various sources and can analyze it to gain better understanding of it that can lead to meaningful information.
2) Analytics: using GEN AI we can connect to the databases and can understand the data structures and relationship between tables. we can use this information to find the security alerts, Geographical location, environmental hazards. as of now it is taking weeks of time to find this information however using GEN AI we can get into data and find this information in seconds once the model is trained for queries.
3) Device Health: based on data from Meters, Routers we can see if the Meter is of good health. or its high usage or our Network is performing well or not. based on this information a incident can be raised automatically for the support team.
Â
Cloud based Data Storage system like Saas: are really game changer in the industry. Cloud based data storage has its benefits like no need of physical infrastructure, providing flexibility, on demand scalability, and lowering cost of ownership. there is no maintenance cost or support engineer required. connectivity to almost all Business Intelligence and ETL tool using JDBC or ODBC is possible.
1) Data Collection: data is collected from various sources like meters, routers and is sent out to cloud storage like Microsoft Azure using Kafka or other real time engines.
2) Data processing: data collected in Cloud storage is cleaned and processed so that it can be stored in proper structure in relational database. various tools like informatica, abinito or python is used to clean data and later this processed data is stored in the Snowflake or other database tables.
3) Analytics: Using Cloud database storage connectivity to various business Intelligence tools is very easy, the storaged data can be used to build model and can be exposed to Business intelligence tools (PowerBI, Cognos, MSBI etc) for descriptive analytics. the data can be shared with GEN AI also.