Our Blog
We are incredibly proud of the achievement and accomplishment of our Award winning team and for congratulate them for their achievement .
The COVID-19 pandemic has shaken the world and derailed most walks of life. Industries, such as Utilities, are essentials, and therefore, have had to find ways to provide uninterrupted services during COVID-19. We have seen all of our customers achieve this quite successfully. Resilient operations have always been the focus of every Utility company. However, unlike other macro events and emergencies of the past, this pandemic has exposed many other vulnerabilities across the Utilities value chain. Stress on the financial structure, challenges of the supply chain, and risks to the workforce have been quite unprecedented. There has been a widespread impact due to customers’ anxiety to pay bills, securing the health and safety of the field workforce, and reduced demand in industrial consumption. The financial stress and regulatory intervention, as well as the volatile markets, further complicate the state of affairs.
Let me ask you a question! Can we create a warehouse framework by stacking up machine learning models, templates, pre-trained models, and a set of customized ML algorithms, and deploy it for enterprise use? Why not? When we can dump our enterprise data (structured or unstructured) in a data warehouse or in a data lake, then the same should be possible for machine learning models as well! Data warehouse holds integrated data from multiple and disparate sources to serve analytical queries. Likewise, ML warehouse can hold ML models or ML templates with integrated machine learning techniques, customized models, model parameters, input data to the models or output from the models, metadata and information exchange mechanism between models to solve business puzzles
