“Ever growing unstructured data brings a lot of information and insight for the business. However, industry experts have come up with various ways to make sense out of unstructured data and one of the recent innovations being LLM models. Even before getting unstructured data to process, there is lot of data that is still in physical format & many engineers still prefer to use classic old pen & paper method to document and note their observation.
Optical Character Recognition (OCR) is the process that converts an image of text into a machine-readable text format. There are multiple ways that this unstructured data is converted into digital format that can be used to provide actionable insights for the business to increase profit margins and optimize the operational cost.
This hack session will involve designing an end to end MLOps framework that will showcase OCR model, Natural Language Processing (NLP) & how Machine Learning models can help solve real-world problems.
Key Takeaways :
- Understand the methodologies to convert the physical data to digital data using OCR technique like
- DocumentAI and know other methodologies like Google Vision API
- Understand with real time example on how NLP can help extract information to derive business insights
- Understand now Machine Learning can help to do proactive maintenance of the spare parts
- Design an end-to-end MLOps pipeline
