Artificial Intelligence

Artificial Intelligence by INFORM

INFORM is a global pioneer in AI-powered optimization. We empower companies to master complexity in business processes by utilizing cutting-edge AI technologies consistently aligned with human objectives.

Decision Intelligence in complex environments

We are convinced that AI will empower people to take action. In a business context, where AI applications will continue to grow in the coming years, it is designed to support people at work and improve decision-making in companies. This comes into play wherever sufficiently complex processes, possibly under time pressure, require far-reaching operational decisions. We can optimize or automate all these business processes using artificial intelligence.

INFORM is increasingly focusing on cloud-based solutions that give customers easy access to AI systems. Our software is not built on algorithms applied arbitrarily to different problems, but on algorithms that we have developed for the specific requirements and challenges of certain industries and applications. In doing so, we stand for a transparent, responsible approach to AI in which the responsibility always remains with the human in the loop.

OUR TECHNOLOGY

AI and data are driving the next revolution. This is an inspiration for us to shape the coming age of Process AI. Process AI from INFORM will think along with people to skillfully manage workflows and realize business goals. We will see adaptive AI applications that generate comprehensive digital representations of the world, understand the processes they work on and support human employees in their everyday work environments.

With the help of data mining and process mining, these systems will learn from every step and share their new insights, point out upcoming challenges and automate decision-making processes to an appropriate extent. This is what we are working on to define the future of machine-based intelligence that is oriented towards and strengthens human agency.

Dr. Jörg Herbers, CEO of INFORM
Large Language Models (LLMs) have shown us what is possible. Whereas many remain impressed by their performance, we are actually only at the beginning.AI processes will be closely interlinked with the real world in order to continuously achieve better results, also in terms of a human-centered approach.
Dr. Jörg Herbers, Co-CEO INFORM

Ethical approach to artificial intelligence

Our goal is trustworthy AI. That is why we have defined guidelines for the responsible use of AI. These are based on six central principles:

  1. Beneficial AI: Ensuring AI systems enrich both users and society, mitigating negative impacts like bias and misinformation.
  2. Human-centric AI: Promoting AI's supportive role to humans, enhancing decision-making processes, and upholding human responsibility.
  3. Aligned AI: Guaranteeing AI is in sync with human and business values, with clear and understandable AI as a foundation.
  4. Privacy-preserving AI: Upholding European Union’s GDPR standards and achieving top-tier security standards endorsed by ISO 27001 certifications.
  5. Reliable AI: Prioritizing quality, consistency, and transparency in AI applications, especially in vital sectors.
  6. Safe AI: Crafting AI algorithms that ensure safety, and ward off potential threats.
Dr. Jörg Herbers, Co-CEO INFORM, on the announcement of OUR new AI guidelines.

EXPLORE USE CASES OF PROCESS AI

AI-powered methods for optimal initial inventory levels in Supply Chain Management

Learn how neural networks enable an initial inventory strategy in supply chain management. 

Enhancing Terminal Operations with Machine Learning

Find out how the application of machine learning (ML) enhances operational efficiency in container terminal operations. 

AI optimized demand planning for fresh produce

Revolutionizing Customer Service Efficiency with AI

Find out how large language models and process AI are setting new standards in vehicle logistics. 

Increasing On-Time Delivery and Transparency Along the Production Chain

Find out how machine learning (ML) optimizes production and process planning by improving the accuracy of forecasts for component lead times.

USING AI TO OPTIMIZE FORECASTING IN WORKFORCE PLANNING

Learn how Machine Learning (ML) improves the accuracy of staffing requirement predictions across various industries. 

Transforming Fraud Detection in Internet Banking with AI

Explore how Hybrid AI significantly improves fraud detection in the financial sector by combining advanced analytics, pattern recognition, and human expertise. 

A Proactive Approach to Managing Disruptions in Aviation with AI

Discover how Artificial Intelligence (AI) and its predictive capabilities are essential for managing and mitigating IROPS in aviation. 

PREDICTING LOADING, TRAVEL, AND UNLOADING TIMES IN READY-MIX CONCRETE DELIVERIES WITH AI

Explore how Machine Learning (ML) can help make better predictions for loading, travel, and unloading times of ready-mix trucks.

USING AI TO OPTIMIZE CONTAINER AND REUSABLE PACKAGING MANAGEMENT

Discover how AI algorithms enable dispatchers to have the right number of lift vans ready when needed, avoiding shortages and overstocking.

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