IGEL
- Hanna-Kunath-Straße 31 Bremen, Bremen 28199 Germany,
- 2001
- 500
- Website
About
A world leader in thin client solutions, IGEL Technology helps organizations improve the agility, efficiency, and security of their virtual desktop and application delivery systems. We produce a very wide range of thin clients, based on Linux and Microsoft Windows, allowing customers to access a very broad spectrum of server-based infrastructures and applications. We also offer our powerful and intuitive management software for easy deployment and administration of thin clients throughout any-size organization. Partnerships with industry leaders like Citrix, Red Hat, VMWare, and Microsoft ensure that we provide the most up-to-date technology and trust-worthy security to our clients in industries that include Healthcare, Education & Research, Public Sector, Financial, Insurance, Retail, Logistics, and Manufacturing. IGEL Technology has offices in Australia, Austria, Belgium, China, Germany, France, the Netherlands, Singapore, Sweden, Switzerland, the United Kingdom and the United States. Our award-winning, in-house R&D team is located in Augsburg, Germany.
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Something About AI Still Doesn’t Feel Right
Something About AI Still Doesn’t Feel Right
This report brings the current AI conversation together and makes sense of the signals people are seeing in isolation.
- Why AI can look like it’s slowing down and accelerating at the same time
- How work is changing at the task level, rather than through sudden job replacement
- Why productivity gains often come with increased pressure and workload
- What changes when AI moves inside tools instead of sitting alongside them
- Why readiness, not capability, is now the biggest constraint for organisations
- How agentic AI shifts the conversation from output to action
This report brings the current AI conversation together and makes sense of the signals people are seeing in isolation.
- Why AI can look like it’s slowing down and accelerating at the same time
- How work is changing at the task level, rather than through sudden job replacement
- Why productivity gains often come with increased pressure and workload
- What changes when AI moves inside tools instead of sitting alongside them
- Why readiness, not capability, is now the biggest constraint for organisations
- How agentic AI shifts the conversation from output to action