Data Transformation Data Validation Data transformation is performed to restructure the data into a format that is more suitable for analysis. This step includes tasks such as filtering, pivoting, and aggregating the data. This step can be done by using pre-built data transformation scripts or by using the provided U I interface to transform the data. The final step in the data preparation process is data validation. This step involves validating the data to ensure that it meets the requirements for the analysis. This step includes tasks such as checking for data completeness and consistency, as well as ensuring that the data is in the correct format. This step can be done by using pre-built data validation scripts or by using the provided U I interface to validate the data. ConverSight also has a feature called "Data Lineage" that allows users to trace the data from its source to its final form, making it easy to understand the data and its quality. This feature also allows users to go back to the previous state of data and make any necessary changes if needed. Overall, the data ingestion and preparation process in ConverSight is designed to be efficient, user-friendly, and comprehensive. It supports a wide range of data sources, includes a set of pre-built data preparation and transformation recipes, has an intuitive interface for data preparation and data wrangling, and has the data lineage feature to help in understanding the data and its quality. The data ingestion and preparation process in ConverSight is designed to be efficient, user-friendly, and comprehensive. It supports a wide range of data sources, includes a set of pre-built data preparation and transformation recipes, and has an intuitive interface for data preparation and data wrangling. 3. Data Modeling The importance of effective data management cannot be overstated when it comes to developing Al applications. A well-designed data model facilitates the effective storage, retrieval, and processing of data, whilst proper indexing helps to provide quick and accurate search results. ConverSight is a premier Al platform with comprehensive data management features, such as data modelling and indexing. This section of the whitepaper will provide a full analysis of these characteristics and how they can benefit Al application developers and organizations. Train Athena(SME Coaching): The Train Athena option in the ConverSight platform is a key feature that allows organizations to train Athena to process their queries in the manner they prefer. This option provides a range of tools and capabilities that enable ad min to provide the necessary vocabulary, proactive Insights, and schema on their data to help the ML and Al model identify and process their queries accurately. One of the key benefits of the Train Athena option is that it allows organizations to customize the behavior of their conversational bot to meet their specific needs. One of the biggest benefits of ConverSight's data modeling is that it helps business users stay away from technical jargon and complex programming languages. With a well-designed data model, business users can easily understand and work with data, even if they have limited technical expertise. - 0 ...__,,· www.conversight.ai __:__