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Author

Britta Daffner

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.

Latest

  • The AI Promise Problem

    The “AI promise problem”: how overhyped AI and robotic solutions blur the line between vision and reality - and why trust is the new currency in AI.

    AI & Machine LearningBritta Daffner5 minutes

  • AI Agents Were Tasked With Running a Company

    AI agents are hyped as the future of work, with CEOs predicting they’ll replace significant parts of the corporate workforce. But a recent Carnegie Mellon study shows that reality hasn’t caught up: when AI agents were tasked with running a virtual company, even the best models completed less than a quarter of their assignments. From poor social understanding to a lack of flexibility and self-awareness, the current generation of agents struggles with real-world complexity. While early use cases — like AI in software development or CEOs using avatars in earnings calls — show promise, full automation is still far off. The real opportunity? Augmenting human teams, not replacing them.

    AI & Machine LearningBritta Daffner5 minutes

  • Mastering AI Risks and AI Governance - A Guide

    The implementation of artificial intelligence (AI) in companies is an important step toward innovation and efficiency. But with opportunities come risks. In this blog article, we take a look at AI risks and the importance of robust AI governance.

    AI & Machine LearningBritta Daffner5 minutes

  • The dark side of automation - Why companies need to think ahead for sustainable success

    The article deals with the importance of responsible automation in companies. While automation can lead to efficiency gains and cost savings, it is important to also consider the impact on employees, society and the environment. The article provides specific recommendations on what companies should consider when automating, including involving teams, considering ethical standards, and regularly evaluating impact. Only through responsible automation can companies achieve long-term success and positive impact.

    AutomationBritta Daffner5 minutes

  • Why Artificial Intelligence (AI) will be the technology of 2023 and beyond

    Only 10 years ago, barely any machine could reliably provide language or image recognition. Today, machines have learned to outperform humans on many tasks. In the past few months, we’ve seen progress in AI capabilities that has impressed even skeptics. A “golden decade,” one researcher called it. In 2023 and beyond, we will see more such systems (especially Generative AI systems like ChatGPT) complementing or replacing us human creators in many areas.

    AI & Machine LearningBritta Daffner9 minutes

  • Diversity and variety as the secret ingredient for innovation

    Many companies are increasingly evolving from lead suppliers to subcontractors. Innovations? Not a chance. One ingredient is needed to make employees as individuals or an entire company more innovative. And this ingredient is called diversity. Diversity drives innovation. At the same time, companies with greater diversity can improve productivity, profits and employee motivation.

    InnovationBritta Daffner6 minutes

  • China and Europe lead the way in regulating artificial intelligence (AI)

    EU Commission proposed April 2021 first-ever legal framework for AI. But some Asian countries are following suit, not only to lead in the development of AI systems but also to create a positive environment for the use of AI. Leading the way is China. Will a global set of rules from China soon follow?

    AI & Machine LearningBritta Daffner6 minutes

  • Mars is irrelevant in the fight against CO2 - Let's sequester CO2 from the atmosphere

    To reach the 1.5 degree target and capture CO2 from the atmosphere, we need clean energy and clean technologies. Ideas on how to do this are plentiful and range from biological solutions to technical ones. Most of the offers that companies can already use to offset their emissions lie in reforestation or new technologies to capture the gas from the air.

    Environment & Social AffairsBritta Daffner4 minutes

  • Ethics, trust, and explainability in artificial intelligence (AI).

    As artificial intelligence (AI) continues to evolve at a rapid pace, becoming part of more and more business processes, and as regulatory and customer pressures continue to mount, we need to address some very deep ethical issues. AI designers and developers in particular can help reduce bias and discrimination by addressing these areas of ethical consideration and using supporting toolkits.

    EthicsBritta Daffner4 minutes

  • Kill Your Project Managers - Building Successful Project Teams

    Successful project teams in companies that want to successfully exploit the present and the future cannot be led by classic project managers. What is needed is a new breed of project managers who act as business shapers. Away from controlling the rigid framework of project management and keeping to time, budget and other resources, they must mobilize people and relentlessly strive to leave the status quo behind.

    Project ManagmentBritta Daffner4 minutes