Enthusiastic experts have no doubt at all that artificial intelligence will prevail. But leaving the rose-colored AI glasses aside and assuming the viewpoint of customers and employees, obstacles beyond the technology itself become evident: Currently, there are three problems preventing the widespread acceptance of artificial intelligence.
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Themen:
AI,
KI,
Machine Learrning,
Bot,
Big Data,
ML,
customer service,
Ethics,
Chat Bot,
Algorithm,
technology,
customer support,
data
Algorithms accompany our lives and our workdays, but most of us do not really know what they actually are. It is all the more important to find out what the term stands for, and where algorithms come into play.
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Themen:
AI,
Machine Learrning,
ML,
Artificial Intelligence,
Ethics,
Algorithm
Impolite service agents, too-long waiting times, inquiries without reply: poor customer service has many faces. This is not only extremely annoying for the customer but also has far-reaching consequences for the company.
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Themen:
Machine Learrning,
ML,
customer service
Many companies see high potential in the use of artificial intelligence (AI) and would therefore like to implement the technology. However, not every project is suitable. As a first precondition for beneficial use of AI, the proper use cases must be identified; secondly, it must be ensured that certain criteria are met.
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Themen:
AI,
Machine Learrning,
ML,
Artificial Intelligence,
Use Cases
Three days at Germany’s capital, third time an exhibitor and three major takeaways: the 21st edition of CCW was held from February 19-21st at the Estrel Convention center in Berlin. With 270 exhibitors and more than 8000 exhibitors from 46 countries CCW provided an international forum featuring latest technological trends and innovative services in customer dialogue.
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Themen:
AI,
Machine Learrning,
networking,
telecommunication,
CCW,
ML,
customer service,
Artificial Intelligence
An increasing number of companies want to use artificial intelligence to improve their internal processes across industries. At first glance, initiating and setting on track AI projects seems simple: Just implement some AI-based software, and the company will promptly start to benefit from the latest technology! In reality, however, it is not quite so easy. The preconditions for a truly successful implementation are thorough preparations, well-targeted realization, and permanent monitoring and testing. See the following seven tips for a successful start of an AI project:
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Themen:
Customer Experience,
Machine Learrning,
ML,
Artificial Intelligence