To achieve lasting competitive advantages, your own applications need to be trained with artificial intelligence (AI) in the best possible way. High data quality is the key to the success of AI and ML.
Often, erroneous or irrelevant data significantly impair the training process and the productive operation of algorithms. The decisive step lies in effective data cleansing and preparation. It increases the performance and accuracy of the models - and thus the valuable, business-relevant output.
Up to 80 per cent of corporate data is unstructured and of varying quality, so selection, analysis and classification must be done efficiently and correctly. Only then algorithms can be trained with useful and high-quality input. Intelligent data management solutions are essential for the first step in AI development.
APARAVI effortlessly transforms unstructured data into valuable AI resources. Our software cleanses and transforms raw data precisely, analyses features and assigns them to classes. Context, content, permissions, metadata and much more can be taken into account.
The result? Perfectly prepared data for automated use, whether for standard tasks or special requirements. The preparation process is 100% transparent and customisable, DSGVO-compliant data sets are available for algorithm training.
Trust APARAVI to carry out and/or optimise your AI projects more efficiently.
No duplicated or obsolete, incomplete data – instead original data and transparent, relevant classified and structured data
Cross-platform overview of the entire data stock with information on metadata, content, file types, storage location, etc.
The indexing and classification of data brings about a clear focus on relevant, useful data
Verify metadata and file content through 250 predefined and unlimited custom classifications
Eliminate critical, corrupted and incomplete data
Cleansing the data of sensitive, business-critical, irrelevant and personal data (classification) and unlicensed third-party data
In accordance with the requirements of the specific AI model employed, unstructured data is converted into the corresponding formats.
Reduce time-to-market for AI applications, secure competitive advantage
Learn more about the challenges and solutions to prepare your unstructured data for better AI results:
Drastic time and cost savings.
Efficient and automated processing of unstructured data
GDPR-compliant data use
100% clean data for AI and machine learning
Simple and fast AI projects relieve the burden on your experts