{"id":11876,"date":"2025-07-01T11:02:20","date_gmt":"2025-07-01T08:02:20","guid":{"rendered":"https:\/\/mediabranch.gr\/?p=11876"},"modified":"2025-07-01T11:02:21","modified_gmt":"2025-07-01T08:02:21","slug":"i-techniti-noimosyni-stin-epicheirisi-sas-kainotomia-eykairies-kai-to-mellon-poy-erchetai","status":"publish","type":"post","link":"https:\/\/mediabranch.gr\/en\/blog\/i-techniti-noimosyni-stin-epicheirisi-sas-kainotomia-eykairies-kai-to-mellon-poy-erchetai\/","title":{"rendered":"Artificial Intelligence in Your Business: Innovation, Opportunities and the Coming Future"},"content":{"rendered":"
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Artificial intelligence (AI) and machine learning (ML) are no longer technological narratives of the future. Today, they influence our decisions, the way we work, and the direction of the global economy. From e-commerce to medicine, from agriculture to energy, AI is evolving rapidly and critically impacting every aspect of business operations.<\/p>\n\n\n\n

But how ready are Greek businesses to seize this opportunity? What does the integration of artificial intelligence mean in practice and how can companies harness this power without getting lost in the translation of technological terminology? Our article today attempts to delve deeper into the relationship between AI and entrepreneurship, not as a theory, but as a transformative force.

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From Theory to Practice: Where We Are Today<\/strong><\/p>\n\n\n\n

Machine learning is not just an \u201calgorithm that learns.\u201d It is the tool with which huge amounts of data can be analyzed, patterns identified, and predictions produced with accuracy far superior to classical statistical methods.<\/p>\n\n\n\n

In the Greek market, many companies are already using AI without calling it that:<\/p>\n\n\n\n