• 
  Columbus named as Infor Partner Network (IPN) award winner in two categories

  Columbus, the global digital transformation consultancy, has been announced as an Infor Partner Network (IPN) Award winner in two categories: 2026 Infor Partner Award winner for EMEA North Source, Co-Sell Partner of the Year, and Source and Co-Sell Industrial Manufacturing Partner of the Year. These awards recognise Columbus's achievements in delivering value and innovation to customers through its partnership with Infor. These two awards are proof of Columbus’s succe...

  View Article »

  March 11th, 2026

  Blog: Columbus

  Author: Columbus
• 
  Infor announces M3 13.4 technical upgrade "Tech 2.0": Why you should upgrade now

  Infor’s recent announcement of the M3 13.4 Tech 2.0 upgrade signals the upcoming end of support for legacy Tech 1.0 platforms. This significant update presents both challenges and strategic opportunities for your business. With the end of support approaching, your business faces a critical decision: upgrade your existing M3 13.4 on-premises infrastructure to Tech 2.0 or transition strategically to the cloud. At Columbus, we've secured early access to Infor’s T...

  View Article »

  March 3rd, 2026

  Blog: Columbus

  Author: Alex Schick, ERP Technician/Specialist
• 
  Welcome to the new shift with AI

  The AI hype has reached new heights. But despite the buzz, many organisations still struggle to see how these technologies translate into tangible outcomes. That’s why we focus on showing results. Underneath you will find real-life examples of how we’ve worked with leading companies to identify pain points, uncover new opportunities, and deliver measurable business value. With the help of new AI and automation tools, we’re developing solutions that generate a ...

  View Article »

  January 6th, 2026

  Blog: Columbus

  Author: Magnus Oxenwaldt, Global AI Director
• 
  2025 Predictions: Preparing for AI Success

  Data readiness is critical for AI adoption — in 2025, organizations will finally acknowledge this fact. Data quality and readiness have always been foundational to business success in the broadest of senses. But with AI and other advanced systems now entering the equation, the ramifications of poor-quality data are steeper than ever. Bad data contributes significantly to the fact that AI projects fail about 80% of the time. It all goes back to the “garbage in, garbage out&rdq...

  View Article »

  January 24th, 2025

  Blog: Columbus

  Author: Michael Simms

Tags