ERP Artificial Intelligence

Transform Your Business with W5 A.I.

Traditional tools may identify data quality problems, but resolving these issues often requires extensive manual effort. Our innovative approach changes the game. We employ advanced AI tools to significantly accelerate the data quality remediation process, bringing a new level of efficiency and accuracy to your operations.

Our AI-driven solutions offer:

Programmatic Labeling: Streamlining data categorization with intelligent, automated labeling
Synthetic Data Generation: Creating robust data models that enhance the training and effectiveness of machine learning algorithms
Standardization and Alternate Naming: Ensuring consistency in data nomenclature, crucial for accurate data analysis and decision-making
Phase-Based Component Categorizations: Sophisticated categorization of data elements, including nouns, verbs, descriptors, and primary product names, as well as attributes like form, fit, and function
Data Enrichment: Enhancing your data by integrating it with internal and third-party sources, providing a more comprehensive view for deeper insights

Our approach not only identifies but also rectifies data-quality issues, transforming your data into a powerful asset. Embrace the future of data management with W5 A.I. and unlock the full potential of your industry-specific data.

Our approach ensures that your data and transformation dictionaries remain current with the latest industry terms, technologies, and trends. By continuously updating and refining our AI models, we provide a dynamic solution that evolves alongside your data. This means you can confidently rely on your data systems to reflect the most up-to-date information, keeping you at the forefront of industry developments.

Our Expertise

Our expertise extends to sectors such as manufacturing, pharmaceuticals, transportation, and oil & gas/commodities, among others. We understand that material and product-based data quality presents a substantial challenge in these fields, and we're here to address this critical issue.

Adapting to Evolving Data and Emerging Trends

In an ever-changing digital landscape, the evolution of data and industry terminologies is constant. At W5, we recognize the critical need for your data management strategies to stay in step with these advancements. Our AI-driven solutions are designed not just for the present but are agile enough to adapt to the future.

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W5 NLPA-HC ™

Start

The starting point involves extracting data, which may contain a mix of valid and invalid material items, misspellings, non-standard conventions, and missing content such as categorization.

The raw data then goes through an NLP and AI-driven process to clean and standardize the material items, categorizing them by industry.

Clean

The cleansed data is then ready for review. This stage involves checking for errors and ensuring the data meets quality standards.

Post-review, the approved data is compiled into a Cleansing Dictionary, which is used for real-time or batch data cleansing. This dictionary includes enhanced data for accurate item categorization, classification, sizing, and units of measurement (UOMs) and is accessible via API or databases.

Distill

Rejections during the review process are fed back into the NLP/AI processing step for re-cleansing.

Finally, approved material items are released for production, and a new Production Cleansing Dictionary is created for ongoing and future cleansing needs.

The entire process is supported by an FDA repository, suggesting compliance with regulatory requirements. The slide also emphasizes confidentiality, indicating that the information is not for public distribution.