AI

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• NLP explained - What is Natural Language Processing?

  Natural Language Processing (NLP for short) links the machine processing of natural language in computer science. Based on the natural and written or spoken language, the computer can analyze, understand and process the language of humans.

  Technology•Bastian Maiworm•31 May 2021•6 minutes

  

• What is unstructured data? - Different types of data

  Unstructured data is information that exists in a non-normalized and non-identifiable data structure. Classically, this includes text, image, audio and video files that are not stored in databases. Especially in the environment of Big Data, unstructured data is of enormous importance.

  Beginner / Basic•Bastian Maiworm•27 May 2021•4 minutes

  

• Scaling Artificial Intelligence (AI) - 4 Reasons for People and Enablement

  Data has been called the most valuable resource of the new world. Ultimately, however, people are essential to derive value from data and apply it in innovative ways. Leaders recognize that advances in intelligent automation and artificial intelligence will have a significant impact on the workforce. And that they need to invest in talent that understands the intersection of data and algorithms and their impact on workflows. This article highlights strategies that will have the greatest impact on closing organizational skills gaps.

  Human Ressources•Britta Daffner•30 Jan 2021•5 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.

  Innovation•Britta Daffner•6 Jan 2021•5 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 Learning•Britta Daffner•16 Dec 2020•6 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 Services•Britta Daffner•16 Dec 2020•5 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 / Vision•Britta Daffner•15 Dec 2020•4 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 Learning•Britta Daffner•15 Dec 2020•5 minutes

  

• 5 things we have learned from the digital transformation in the last 5 years

  For years, digital transformation has been an established term beyond the IT world. Reason enough to take a closer look at what has happened in practice since the emergence of this ongoing trend and what role intelligent technologies play - and will play in the future.

  Technology•Markus Pichler•28 Nov 2020•5 minutes

  

• Artificial intelligence vs. human - Are we replaceable?

  Everyone is talking about artificial intelligence. Whether in medical technology, marketing or mechanical engineering - the industries in which AI is used are diverse. Above all, the ability to objectively analyze huge amounts of data within the shortest possible time and to recognize patterns in it, is a technology ahead of mankind. As a result, a large number of workers are already being replaced by intelligent machines. The question that inevitably arises is: What role does man still play when AI is superior to him in supposedly decisive matters?

  AI & Machine Learning•Mathias Wengeler•5 Oct 2020•6 minutes