AI and Data Management

Turn data into strategic opportunities with artificial intelligence

Data is the beating heart of your business. With the right solutions, you can turn it into strategic insights, accelerate decision making, and gain a sustainable competitive advantage.

Using Artificial Intelligence and advanced data management technologies, we help you optimize processes, reduce costs, and drive innovation.

The most important areas of enterprise data management

Managing data effectively opens up new opportunities to improve competitiveness and efficiency.
Here are the main areas for action:

Data integration and knowledge management:

centralizes information to eliminate silos and improve accessibility.

Quality of the dataset:

Ensure reliable data by reducing errors and duplicates.

Strategic Insight:

Leverages data to obtain clear analyses and support informed decisions.

Compliance and security:

Protect sensitive data and comply with privacy regulations.

Practical applications of AI for business

A solid, comprehensive and reliable data base is the starting point for applying truly effective AI solutions. Here are some examples of how our solutions transform processes and improve outcomes in different industries. Each project is customized to meet the specific needs of enterprises, creating value in complex and highly competitive environments.

Generative AI – Intelligent Agents

Solutions based on Generative Artificial Intelligence open up new operational possibilities, automating complex tasks and improving interaction with customers, partners and internal systems. Here are some of our cases already applied in different industries:

  • Email and offer management: an AI assistant processes 600 emails per day for order entry and offers, integrating SAP and BI. Result: -70% load on 30 employees and increased operational speed.
  • Document analysis: AI extracts data from more than one million pages for automatic reconciliation of invoices and payments, reducing time and risk of error.
  • Bills of Materials: automated generation of production bills of materials from drawings and technical tables, integrated with the configurator. Reduction of analysis time by up to 95%.
  • Commercial back office: a conversational agent integrates data from ERP to handle customer requests quickly and accurately, improving service efficiency.

Visual Inspection

A supervised machine learning system enables a client company to monitor hundreds of signals from production processes in real time, checking deviations from predefined parameters.

This approach is applied, for example, to laser cutting of materials, improving accuracy and minimizing scrap. Operators can take timely action to correct any anticipated defects, ensuring consistent quality throughout the production chain.

Predictive model

Predictive models based on advanced algorithms, such as classification trees, can analyze data in real time to detect anomalies before they become problems. These systems predict deviations in production processes with high accuracy, allowing operators to intervene early and correct any defects before they impact the final product.

For example, for onesteel pipe manufacturing company, this technology significantly reduced scrap, thanks to the ability to predict anomalies at 5 minutes’ notice. The result was a tangible improvement in quality, a reduction in production costs, and a return on investment (ROI) in less than a year.

Let’s choose together the right tools to grow

Artificial intelligence and data management travel on common tracks: only by combining the right technologies can real value be generated.

We support you in choosing the right solutions, from SAP Business AI to predictive analytics tools to SAP Business Data Cloud, the platform that centralizes and harmonizes data into strategic insights.

Each project is modeled on the specifics of your business to create solutions that are scalable, concrete and immediately operational.

Why us?

We turn your data into competitive advantage!

Contact us and let’s find out together how to leverage your data and implement AI strategies aimed at growing your business.