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Artificial Intelligence October 28, 2026
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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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
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
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
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
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
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
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
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?
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?