Blog

Artificial Intelligence (AI)

Put simply, artificial intelligence (AI) reveals patterns in large quantities of data. Here, AI is an umbrella term for a group of technologies that is divided into several levels. On the one hand, there is a distinction between strong and weak AI. Strong AI tries to map human intelligence as a whole. It covers multiple thematic areas and tries to learn holistically in order to answer questions from many different areas of life. Strong AI has not been implemented yet, and it will probably take a few more years of development until it is so sophisticated that it can be used in practice. Weak AI focuses on particular topic areas. Through the focus, a better response structure is achieved. valantic uses artificial intelligence in the business analytics sector, for example. But other technologies that valantic uses, such as some SAP solutions and chatbot technologies, also take advantage of artificial intelligence.

Supply Chain Management & Logistics July 8, 2025

Production planning 4.0: Agility as a success factor in volatile times

In a world where change has become the norm, companies are under massive pressure to make their production processes flexible and efficient. Especially in manufacturing industry, the dynamics of the market require more agile production planning.

Blick auf einen Mitarbeiter, der im Büro an seinem Schreibtisch sitzt und auf seinen Desktop schaut

Customer Experience June 17, 2025

AI in the Optimizely CMP – smart support from “Opal”

In the first part of our blog series on AI in content marketing, we explore the capabilities of Optimizely CMP. At the heart of it: the intelligent AI “Opal”, which acts as a virtually limitless and highly efficient work resource. In this post, we explain how Opal works and the crucial role its agents play in the process.

Eine Frau in einem Meeting, die aufmerksam zuhört.

Customer Experience June 13, 2025

Between Human and Machine: Reflections on Knowledge for Growth 2025

At Knowledge for Growth 2025, valantic colleagues Eddy Peeters and Kasim El Bastani explored the intersection of AI, healthcare, and human-centered innovation. While AI plays a supportive role, human expertise remains central. From AI’s real-world applications to ethical considerations, the event highlighted a cautious but optimistic future for technology in healthcare.

A businessman's analyzing graph on laptop in home office

Customer Experience June 5, 2025

Agentforce from Salesforce: An overview of the AI revolution in the business

While many companies are still experimenting with isolated chatbot solutions, Salesforce takes a decisive step forward with Agentforce: The platform seamlessly integrates AI agents into service, sales, and commerce enabling efficient, data-driven business processes.

A happy colleague working on the laptop.

Customer Experience June 3, 2025

What are AI agents – and why are they more than just chatbots?

In a time when automation and digitalization are becoming increasingly important, many companies initially think of traditional chatbots when it comes to AI-driven customer interactions. However, it quickly becomes clear that these chatbots often offer only limited value.

Customer Experience May 28, 2025

Salesforce World Tour 2025: Focus on Agentforce

At the Salesforce World Tour 2025 in Frankfurt, Agentforce, Customer 360, and the Data Cloud were in focus. The event showed how AI, automation, and real-time data help businesses operate more efficiently and customer-centric. valantic supports companies along this journey – from strategy to technical implementation.

Two railway workers are walking along the train tracks in the evening for asset lifecycle management.

SAP Asset Lifecycle Management April 30, 2025

Asset lifecycle management: challenges and opportunities in the railway sector

Paving the way to a sustainable future with SAP technologies: The railway industry is facing major challenges. In this article, we highlight the most important aspects of asset lifecycle management and show how SAP solutions combine operation, sustainability and efficiency.

Four people in meeting, discussing generative ki and use cases

SAP Asset Lifecycle Management April 16, 2025

Generative AI in maintenance: Three use cases

Generative AI helps automate manual maintenance, reduce costs, and improve decision-making. Through three practical examples, we show how companies can avoid downtime, optimize maintenance, and allocate resources more effectively.

People in business meeting discussing ai in maintenance strategy

SAP Asset Lifecycle Management April 16, 2025

Six Success Factors for the Effective Use of AI in Maintenance

Six key success factors for applying AI in industrial maintenance – from data management and IT infrastructure to change management and governance. Learn how to unlock the full potential of Generative AI and turn it into real business value.

1 2 … 4 »