AI-assisted data transformation with Osmos

As a college student, I worked part-time for Los Angeles County. I was assigned the unenviable task of taking data from a Lotus 1-2-3 file and copying it into a DBase III table (yes, I’m that old). This problem was complicated by the fact that the columns in the spreadsheet did not correlate directly with the fields in the database. It took me a full day to copy a few hundred rows of data. While I could have written DBase code to handle the mapping, it would have taken a fair amount of time, and writing robust code to handle cleaning would have complicated the project even further.

Had I been assigned the same task today, I could have completed it in minutes with Osmos (assuming Osmos supported Lotus 1-2-3 and DBase 😄). Osmos makes this possible by using AI to handle data mapping and cleaning tasks. AI uses human-like intelligence to figure out how to do some of the most tedious data wrangling tasks - such as mapping source columns to destination fields, allowing users to provide natural language instructions to clean data quickly and accurately, mapping category values to a predefined list of lookup values.

Today’s Data Transformation Landscape

Traditional data ingestion methods suffer from siloed processes, with different teams handling various aspects of the workflow. This lack of integration leads to inefficiencies, duplicated effort, errors, and data inconsistencies.

Data transformation is at the heart of the challenge. The inflexibility and complexity of commonly used data transformation methods leave teams relying heavily on IT or data specialists, creating bottlenecks and hindering efficiency. For many, manual processes are still a part of the mix, creating ample opportunity for human error.

IT leaders find themselves in a tricky position. They are caught in a persistent cycle of constantly addressing mapping issues every time data moves instead of focusing on strategic initiatives that drive business value. Attempts at programmatic data cleaning often fall victim to corner case-ism and ultimately require costly, manual work.

What is AI-Assisted Data Transformation?

AI-assisted data transformation is a process by which AI tools help clean, map, and transform data within a singular system. Osmos offers an end-to-end data ingestion solution that uses AI to map, transform, and clean data.

Today's multi-vendor, multi-system business environments make it challenging for data to flow freely and securely between organizations. Osmos accelerates and reduces costs for data ingestion by eliminating integrations that require complex coordination between yours and your customers’ IT systems.

Osmos automates data cleanup and data mapping with adaptive AI and data quality enforcement at every step. We take a source-agnostic approach to data transformation that enables seamless integration across diverse technological ecosystems, enabling true interoperability and data fluidity.

Osmos’s AI-assisted data transformation workflow

The typical data ingestion process involves the following steps:

1. Map incoming file fields to your internal data model
2. Validate the data for errors
3. Clean the data to meet quality requirements
4. Match category values against internal lookup tables
5. Join and aggregate the data as needed
6. Finally, ingest the cleaned and processed data

Powerful AI-driven tools that accelerate data ingestion company-wide

Data Mapping Simplified: Osmos Automap AI eliminates the manual effort of mapping fields by automatically aligning source data to the destination schema. Anyone working with data knows it rarely arrives in a “standardized schema,” often requiring hours of manual cleanup. Osmos minimizes this effort, significantly reducing the need for manual intervention.

Effortless Data Cleanup with Osmos AutoClean: Osmos AutoClean empowers your business teams to easily perform complex data cleanup tasks, transforming messy data like a pro. For example, with a single short instruction, users can harness AI to replace a country name with its corresponding continent, showcasing both the power and simplicity of AutoClean.

Streamlined Value Mapping with Osmos AI ValueMap: Osmos AI ValueMap enables your teams to effortlessly map and transform data values, saving hours of manual effort. For instance, with one simple instruction, a user can leverage AI to standardize product names and map categories or convert codes to meaningful labels, demonstrating the power and efficiency of ValueMap in handling complex transformations.

Seamless Monitoring with Osmos Chat Interface: Once the data is transformed, your teams can effortlessly monitor and query it using the Osmos Chat interface. This intuitive tool enables quick insights and data validation, ensuring seamless oversight and streamlined operations.

What used to be a cumbersome, complicated data transformation process is now automated with AI assistance guiding the user along the way. Human oversight and continuous improvement are key to Osmos AI-assisted data transformation. Powerful generative AI learns and adapts to your data, use case, and workflow. The more you transform data, the faster data ingestion becomes. This means your regular customers get updates faster, product catalogs are always fresh, and your entire team accelerates customer activation. With an AI solution this adaptive, your data ingestion processes remain effective even as your data landscape evolves.

Osmos Empowers IT Leaders with Adaptive AI

Traditional data ingestion processes often involve a patchwork of tools and manual interventions, resulting in fragmented and inefficient workflows.

IT leaders need customizable data ingestion solutions that scale without introducing operational complexity. They need to grow their data operations without worrying about the added burden of managing complex systems. IT leaders need Osmos.

‍Discover how easily your organization can integrate Osmos solutions into your data ingestion infrastructure.

Contact an Osmos expert to learn more!