AI Readiness Checklist for Retail Banking — DACH 2026
🔵 Stay updated on AI & data for your industry — Follow mindit.io on LinkedIn → Organisations in DACH (Germany, Switzerland, Austria) face mounting pressure to deliver AI initiatives that satisfy both business stakeholders and BaFin and FINMA regulators. This checklist gives CDO, CAIO, and CTO at DACH retail banks a systematic way to assess […]
AI in Banking 2026: How Tier-1 Banks Are Scaling Agentic AI
Free Report · 2026 Edition 65 real-world case studies. A practical roadmap for CTOs, CFOs, and Heads of Digital. The post-hype era is here. The banks that act now will define the next decade. ↓ Download the Free Report Published February 2026 · by mindit.io · Free · No paywalls 65 Real-World Case Studies 3 […]
The State of Modern AI in Banking 2026: What DACH Leaders Need to Do Now
Modern AI is no longer a lab topic for banks. In Germany, Austria, and Switzerland, the conversation has moved from “Can we pilot this?” to “How do we run the bank safely and profitably with it?” That shift is exactly why we created “The State of Modern AI in Banking 2026”, a practical, executive-ready report […]
Databricks as a Compute Layer: Core Concepts, Best Practices, and Why It Outperforms Legacy Systems
Modern data platforms are no longer built around fixed infrastructure and monolithic systems. As data volumes grow and workloads become more diverse, organizations need architectures that are scalable, flexible, and cost-efficient. Databricks addresses these needs by positioning itself not as a traditional database, but as a compute layer on top of cloud storage. What Databricks […]
From Monoliths to Modern Platforms: How AI Simplifies Cloud Migration
Migrating legacy applications to the cloud is no longer just a technical project, it’s a business imperative. AI-assisted tools are making it possible to modernize even the most complex systems, from monolithic apps to supply chain platforms and online transaction-heavy services. Monolithic Applications Monoliths have long been a headache: tightly coupled components, high maintenance costs, and limited scalability. […]
Reinventing Cloud Migration with Agentic AI
Cloud migration has become a strategic priority for enterprises, yet legacy systems remain a persistent obstacle. According to industry studies, 74% of organizations recognize legacy systems as a barrier to digital transformation, and 70% of IT budgets are consumed by maintenance rather than innovation. Add to that the fact that 42% of developers’ time is spent repairing old systems, and it becomes […]
Avolta at mindit Forward: Modernizing Global Travel Retail with Data and AI
At mindit Forward: Data & AI Transformation Lift Off, we welcomed Ioannis Zouroudis, Global Head for Commercial Applications and Integration at Avolta, one of the world’s leading travel retailers. Ioannis shared how Avolta (known to many historically as Dufry) is reshaping the travel experience through large-scale modernization, hybrid retail concepts, and AI that serves real […]
mindit Forward: Data & AI Transformation Lift Off
About mindit Forward mindit Forward marked ten years of mindit.io with a simple idea at its core: people, partnership, and disciplined collaboration turn technology into impact. The room felt less like a conference hall and more like a workshop where leaders compared scars, traded lessons, and aligned on what actually ships. What followed were stories […]
The Ultimate Enterprise AI Resource Hub: Curated Expert Content & Insights
Discover curated, updated, insights and content from the world’s leading technology authorities to master AI Strategy in your organization. This Ultimate Enterprise AI Resource Hub is a compilation of expert content, including articles, whitepapers, videos, and webinars, designed to help you master AI strategy in your organization. We’ve curated insights from trusted sources to ensure […]
RAG Retrieval 101: How to Pick the Right Embeddings for Your AI App
What are embeddings and embedding models? Embeddings are vector representations of data such as text, images, audio, video, etc. The arrays of numbers in an embedding capture the semantics and important features of the data in a way that maps similar entities close together in vector space while dissimilar entities are farther apart. Embedding models […]