Tag: Artificial Intelligence
AI Bots as Friends? Digital Intimacy Needs Human Boundaries
AI companions are always available and seem attentive. That is precisely why we must distinguish between helpful interaction, emotional dependence, and genuine relationships.
MCP and A2A: The Infrastructure for Networked AI Agents
MCP and A2A create open connections between models, tools, and agents. For companies, this means that not only the model but also the integration architecture becomes crucial.
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Generative AI and the Future of Work: A New Collaboration
Generative AI does not simply replace tasks. It changes the division of labor between humans and machines—and requires new processes, skills, and quality control mechanisms.
AI in the Automotive Industry: From Recall Checks to Virtual Apprentices
At the 43rd Automotive Industry Day, Hans Baldinger and Gerhard G. StocKinger demonstrated practical AI applications for car dealerships and repair shops—including a browser-based recall check.
Robot Control or Enablement: How Companies Should Respond to AI
It is not the taxation of technology that will determine the future of work, but rather how well companies empower people to take on new tasks, use new tools, and assume new responsibilities.
MS Access with AI: Why Proven Systems Aren't Necessarily a Burden
A mature Access solution can take on new tasks with APIs and AI. What matters is not the age of the tool, but whether processes, data, and risk are under control.
IntraAut: this comes after ChatGPT
From Proper Prompting to Comparing Conditions: AI in the Real Estate Agency
Four WKO Tyrol webinars demonstrated how insurance brokers use ChatGPT, Copilot, and AI for communication, meeting minutes, documents, and comparing policy terms.
