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Artificial Intelligence

65 articles

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  • Big Data - data lake versus data leak

    Data and information play an increasingly important role in companies and increasingly represent a significant production factor. The concept of so-called data lakes promises much when it comes to the analysis of such data and information, supported by machine learning and artificial intelligence. However, there are not only advantages.

    IT-Security & Cyber SecurityKlaus-Peter Kaul4 minutes

  • 10 promising innovations that will change our world

    The world has witnessed a huge technological leap in the last decade. From the rise of smartphones and tablets to 3D printing, artificial intelligence and blockchain. As the saying goes, these technologies are here to stay and have not only generated the occasional stir, but have permanently changed our daily lives and the way we work. These 10 innovations have the potential to shape our future.

    InnovationBritta Daffner5 minutes

  • Reality and misconceptions about the future of artificial intelligence (AI).

    AI clearly has a key role to play in the business world - now and in the future. It holds unprecedented potential for efficiency gains and new business models. Because AI is unlike any other technology, it also holds the potential for unexpected consequences and disruption on an unprecedented scale. No company should deploy AI blindly and without strategy, and no responsible board can afford not to engage with and understand its potential.

    AI & Machine LearningBritta Daffner6 minutes

  • Banks in the Corona Crisis - Focus on Customer Experience and Increased Efficiency

    Many companies as well as banks are facing many challenges but also opportunities in this crisis. Continued rising customer expectations are juxtaposed with the need for efficiency improvements as well as the establishment of flexible operating models to ensure business continuity. In each of these areas, Artificial Intelligence is a key component to establish tools and services that meet customer expectations while driving efficiencies and enabling dynamic and flexible operating models through automation or tailored information delivery to the advisor or service center agent.

    Banking & Financial ServicesBritta Daffner5 minutes

  • Identify and implement applications for artificial intelligence (AI) - Data-driven business architecture

    Artificial intelligence (AI) has many practical applications for businesses. Think of AI as a larger framework that provides different capabilities. Companies implementing AI should review their vision and develop an AI strategy that aligns with their larger goals and focus. To implement, data-driven use cases are the basic requirement. Also, a flexible and modular architecture should be chosen from the beginning, which can be expanded and improved as needed in the future.

    Strategy / VisionBritta Daffner4 minutes

  • Data-Driven Business Architecture - Executive Guide Artificial Intelligence (AI)

    In today's era of big data, Artificial Intelligence (AI) and cognitive technologies are becoming a powerful focal point for businesses. They are increasingly being used to intelligently automate and accelerate business processes, make valid predictions, create more engaging and personalized customer interactions, and ultimately recommend the best possible approach to assess a business problem. And in doing so, create an enterprise that is data-centric, agile, and future-focused: the Cognitive Enterprise.

    AI & Machine LearningBritta Daffner5 minutes

  • 3 steps for a strategic Robotic Process Automation (RPA) implementation and integration

    Numerous companies are currently working on the introduction of Robotic Process Automation as a strategic technology for the automation of their processes. The complexity of introducing Robotic Process Automation is low from a technical point of view due to the non-invasive technology and the simple application architecture. Nevertheless, many things have to be taken into account when introducing Robotic Process Automation in order to place the technology successfully in the company.

    ProcessesMarcel Schneider5 minutes

  • 9 points for successful Robotic Process Automation (RPA) - Which processes can be automated?

    The suitability of a process for automation with Robotic Process Automation can be easily checked by means of 9 factors. These 9 factors are presented and explained in detail in this article. The factors presented are of both technical and business nature. Especially in the field of process automation the following is very important and should always be considered: Just because the automation of a process makes sense from a technical point of view, it does not necessarily mean added value for the company from a business point of view. And vice versa, it is also true that just because a process should be automated from a business point of view, it is also technically possible.

    ProcessesMarcel Schneider5 minutes

  • Digitization - New business models for SMEs

    Digitization offers great opportunities especially for SMEs. In our article we explain which business models are in vogue, which are becoming important and which technologies are causing these trends.

    Beginner / BasicBenjamin Talin7 minutes

  • "Talk to me" – Conversational Banking

    How the use of chatbots and voice assistants will change banking. The Millenials Generation in particular wants to experience services differently and we show how.

    Banking & Financial Servicesandrion ag7 minutes