Themen: AI, Machine Learrning, telecommunication, Artificial Intelligence
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.
Themen: AI, Machine Learrning, networking, telecommunication, CCW, ML, customer service, Artificial Intelligence
Though artificial intelligence (AI) has been the technical buzzword in recent years, the field of AI is far from new: The first pioneer projects were already conceived back in the 1950s. But what developments have taken place to make almost every industry think about using AI? Let us have a look at the historical development of the technology to this day.
Themen: AI, Artificial Intelligence, Watson, Alexa, Ethics
Looking at artificial intelligence, one is quickly confronted with the question of ethics. This topic is also much discussed in recent media reports on artificial intelligence – the voices range from euphoric to anxious, from hopeful to warning. The questions posed in this context show that there are limits for AI and for the developers.
Themen: AI, Artificial Intelligence, Ethics
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:
Themen: Customer Experience, Machine Learrning, ML, Artificial Intelligence
Machine learning (ML) provides support not only for the service staff in the call center: Intelligent algorithms also make everyday work easier for the field service employees.
Themen: Machine Learrning, telecommunication, ML
