About the Author

Andreas Klug

Andreas Klug

Andreas is the chief marketing officer of ITyX AG. Being a leader of the AI group - Bitkom association, he regularly speaks and writes about digital transformation in the industry magazines and blogs. He is also the co-founder of the i-Service Initiative and the think-tank “AI Experts”.

Other Posts

How Artificial Intelligence Aids in 5 Central Areas of Marketing

Key Points:

  • Social media marketing is made simple, with AI-based automation tools like Buffer.
  • Like other emerging technologies, AI is a culture that every organization will have to adopt and adapt for it to be successful using AI driven technologies.
  • Marketing is critical to other functions within the organization.
  • Marketing enables organizations to offer products and services that satisfy customers’ needs and, in turn, make a profit.
  • Customer loyalty is the bonus that helps to grow a brand.

 

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How Small Businesses Are Using AI and Winning at It

As human beings, we have a penchant for machines doing our mundane tasks for us. The industrial age mass-produced the toaster, the electric kettle and the washing machine as prevalent “labor-saving” devices, and they eventually became part of our everyday life.
The progression to artificial intelligence (AI) makes sense in that context. Artificial intelligence — the latest buzzword in the business world — has already proven effective at automating repetitive tasks in sales and marketing, accounting, HR and more.

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Automated customer communication: Four ways to success

The requirements are demanding, individual and personal, up to date and consisting of modern technical standards and in all this showing immediate results - our digital era has led to business activities in which customer communications take centre stage, demanding a great deal of rethinking from companies of all sizes and segments.

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Small data adds up to big problems

We often associate big data with research problems that are important to humanity as a whole - problems like human evolution, energy sources and cancer. To process big data, we often think that one needs big iron like computer nodes, scale-out storage and parallel systems to compute the massive amounts of data.

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What does RPA actually mean? The term at a glance...

Most of us have heard about it, but are we all able to explain what it is? Robotic Process Automation (RPA) is based on artificial intelligence. A wide variety of definitions have been used to try to predict its effect on years to come in business and privacy. People do not tire of discussing possible future changes, with both skepticism and emotion. So, what exactly lies behind the terminology, and in which way can RPA improve our future workflows and processing?

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