Revolution in data management: Verdantis brings AI solutions for companies!

Revolution in data management: Verdantis brings AI solutions for companies!

Ort, Land - Verdantis today presented new AI-based solutions to improve master data management in companies. The innovative products, Auto -Enrich AI and Auto -Spec AI, should make revolutionary progress in particular in the areas of data enrichment, normalization and standardization. The target industries for this technology include the oil and gas industry, mining, the chemical industry as well as the food and beverage industry and the building materials industry. The challenge on today's market is unstructured and isolated data that significantly impair operational efficiency and decision -making, such as OTS reported.

Auto-Spec AI extracts key attributes, measurement units and product categories from unstructured raw data and is trained at over 1 billion data points. The advantages of this AI solution include the standardization of data for material and supplier data sets and the optimization of procurement through precise and reliable data. At the same time, Auto-Enrich Ai has a lack of data from public and company-owned databases, which significantly increases the efficiency in inventory management and manages outdated material data.

The role of data integrity and KI

The introduction of such AI solutions can also be seen against the background of a falling trust in the data landscape. According to a Precisely-Study , 67% of the respondents are only restricted to their data and see the data complexity, 42% Concern organizations, one main cause. In addition, 60% of companies identify a lack of qualified specialists as the main obstacle to the successful implementation of AI initiatives.

Data quality and governance are also central challenges, with 64% of the organizations that consider data quality as critical. Experts recommend a proactive approach to providing trustworthy data, which can be realized by using AI to improve data management practices.

synergy between AI and data management

Digital change in all industries is significantly promoted by artificial intelligence and machine learning. According to a Deloitte-Study consider over 2,620 AI experts to be decisive for the future of their companies. 76% report rising investments in AI, especially in data management. This indicates the growing importance of intelligent data management that is necessary to effectively use and implement AI.

The successful integration of AI in business processes not only requires access to high -quality data, but also a clear strategy for data management. Questions about the origin of the data and documentation are decisive to ensure the quality of the predictive models. Automated processes in data management, as with Banco ABC Brasil, have already shown that AI can reduce the time for predictions by up to 70%, which significantly accelerates efficiency and decision -making.