Author
19 articles
Biography in German
As Director Data & AI at O2 Telefónica, Britta champions data-driven business transformation. She is also the founder of "dy.no," a platform dedicated to empowering change-makers in the corporate and business sectors. Before her current role, Britta established an Artificial Intelligence department at IBM, where she spearheaded the implementation of AI programs for various corporations. She is the author of "The Disruption DNA" (2021), a book that motivates individuals to take an active role in digital transformation.
What really matters to customers today is a personalized customer experience. Tech companies like Netflix are leading the way, but traditional companies shouldn't let that scare them away. Every company has the opportunity to personalize and start where it is conceptually, communicatively and technically. Because at the core of personalization are three information characteristics.
E-CommerceBritta Daffner4 minutes
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 RessourcesBritta Daffner5 minutes
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
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
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
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
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
