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Mitarbeiter beim produktiven Einsatz von Claude im Arbeitsalltag. Das Bild steht für die zentrale Herausforderung des Cost Managements: KI-Nutzung ermöglichen und skalieren, während Kosten, Verbrauch und Mehrwert transparent und kontrollierbar bleiben. AI generated

Artificial Intelligence October 28, 2026

AI Cost Optimization: The Right Model for Every Task

Most AI projects default to the most powerful model, even when the task doesn't require it. By routing requests to smaller models, optimizing context, and using traditional ML where appropriate, organizations can cut AI costs by 50% or more without compromising quality.

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Mitarbeiter beim produktiven Einsatz von Claude im Arbeitsalltag. Das Bild steht für die zentrale Herausforderung des Cost Managements: KI-Nutzung ermöglichen und skalieren, während Kosten, Verbrauch und Mehrwert transparent und kontrollierbar bleiben. AI generated

Artificial Intelligence October 21, 2026

Your AI Bill Isn’t About the Price Per Token

AI inference prices have fallen by around 90%, yet most companies aren’t seeing lower bills. The reason: costs depend on more than token prices. Usage volume, model choice, context size, and repeated agentic workflows all drive spending. To control AI costs, organizations need to understand not just how much they spend, but what drives that spend in the first place.

Your AI Bill Isn’t About the Price Per Token
Businesswoman and colleague reviewing content on a laptop in a modern office AI generated

Artificial Intelligence October 16, 2026

Autonomous Enterprise Journey: How AI value engineering creates measurable business value

How can the ROI of AI initiatives be reliably assessed and measured? How can companies identify the biggest levers and key processes for AI? Katrin Luft, Senior Expert at valantic and co-developer of the “Autonomous Enterprise Journey,” provides answers and recommendations in a conversation with Darya Basarhina, Vice President of Sales & Marketing and Manufacturing Practice Lead at valantic.

Autonomous Enterprise Journey: How AI value engineering creates measurable business value
Picture of man at PC gesturing

Customer Experience October 8, 2026

Interview: From PIM to Data Spine – How companies prepare their data for AI

AI is changing the requirements for data, governance, and processes. Where should companies start, and what skills do they need? In this interview, Dietmar Rietsch, CEO of Pimcore, and Timo Huguet of valantic discuss the importance of clean data, the concept of the “Data Spine,” and the changing role of humans in the age of agentic AI.

Interview: From PIM to Data Spine – How companies prepare their data for AI
A man in a retail store is trying on different outfits in front of a smart mirror, using AI. AI generated

Customer Experience September 18, 2026

From webshop to virtual try-on: how AI is making its way into retail stores

Digital interfaces such as smart mirrors turn AI in the store into a tangible business case. What potential does this hold for the customer experience and in-store personalization? Matthias Vollmer explains how the retail industry can combine the best of both worlds and turn physical touchpoints into an intelligent part of the omnichannel journey.

From webshop to virtual try-on: how AI is making its way into retail stores
The valantic team of authors and their SAP BDC Handbook

SAP Services September 17, 2026

The SAP BDC handbook: An interview on Business AI and data culture

Five valantic consultants wrote the SAP Business Data Cloud handbook. In this interview, they explain why SAP BDC is the enabler for business AI and why this book is a must-read.

The SAP BDC handbook: An interview on Business AI and data culture
Three people are standing at a glass table with laptops in a modern office. In the background is a whiteboard and an industrial hall visible through glass. AI generated

Customer Experience August 27, 2026

Interview: How manufacturing stays digitally visible and AI-relevant

In the manufacturing sector, purchasing decisions are increasingly being made before the sales team is even involved. Designers, planners, maintenance technicians, and buyers conduct online research—and are increasingly receiving AI-generated responses. How can marketing teams at manufacturing companies ensure digital visibility and AI relevance? Answers and recommendations from the Manufacturing Practice.

Interview: How manufacturing stays digitally visible and AI-relevant
Four business colleagues discussing data on a laptop in a modern office AI generated

Artificial Intelligence August 26, 2026

From pilot to real value: scaling Claude successfully across your organization

Scaling Claude Across the Organization: Why 95% of AI pilot projects fail to deliver a return on investment—and how to turn licenses into daily, measurable usage.

From pilot to real value: scaling Claude successfully across your organization
Businesswoman working on laptop in modern open-plan office AI generated

Digitalization August 20, 2026

How many spreadsheets does it take to answer one HR question?

HR teams spend hours every day stitching data together across disconnected systems — 77% say integrating people data is one of their biggest analytics challenges. Discover what real, unified people analytics looks like, and how choosing the right HRIS turns scattered snapshots into one source of truth.

How many spreadsheets does it take to answer one HR question?
Four people are working together at a desk in an office. One man points to the screen of a laptop with an outstretched arm. His colleagues stand around him, smiling and looking at the screen

Digitalization August 18, 2026

Does your HR tech stack really need five different tools?

Managing HR across multiple countries is already complex—add five different tools for payroll, expenses, talent, recruiting, and surveys, and the complexity multiplies. Discover why disconnected systems drain productivity and how a single unified HRIS gives multi-national scale-ups one source of truth.

Does your HR tech stack really need five different tools?
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