Kategorie: Strategy
Europe is rearming — she closes the gap between deep tech and capital
European defense and dual-use technology has crossed from policy ambition into measurable capital deployment — and the window for founders, investors and partners to stake a position is open right now. This picture was generated with ChatGPT.
Europa rüstet auf — Innovatrice schließt die Lücke zwischen Deep-Tech und Kapital
Die europäische Verteidigungs- und Dual-Use-Technologie hat den Übergang von einer politischen Ambition hin zu messbaren Kapitalallokationen vollzogen – und das Zeitfenster für Gründer, Investoren und Partner, sich strategisch zu positionieren, ist genau jetzt offen. Das Bild würde mit ChatGPT generiert.
Data Leadership in Transition: Navigating Generative AI and Business Value
This year is a time of transition for many data leaders—at the intersection of Generative AI, economic shifts, and political change. Data Leader Divya Bokaria and Elizabeth Press (D3M Labs) explore how the world is evolving, while emphasizing that data leaders remain stewards of business value.🧩
Data leaders navigate complex, evolving value chains and translate insights into strategies, objectives, and processes. Technologies and workflows may change, but the core mission remains: turning data and complex technologies into measurable business outcomes, whether in formal leadership roles or beyond. The image was generated by ChatGPT
The AI Inflection Point: Generative AI and the New Era of Regulation and Resilience
We are standing at an inflection point in the evolution of AI. The field is moving from hype to maturity. After a decade in which cheap capital and boundless optimism fueled sky-high expectations—when data was hailed as “the new oil”—the post-COVID era has brought a dose of sobriety. The age of “move fast and break things” is being replaces by a new mantra: move thoughtfully, build sustainably, and govern wisely. This picture was generated with ChatGPT.
Toxic Leadership in Data: The Hidden Costs of Hype-Based-Growth
In 2023, Kasia Musur CEO and Founder of Vent, conducted a study about Toxic Leadership in Data based on experiences of members in the D3M Labs community. Vent is THE platform addressing experiences of toxic leadership through storytelling and research. VENT brings together multidisciplinary collaborators, survivors, and technology to reduce the impact of toxic leadership on individuals, communities, businesses, and the environment. Through educational campaigns, research, and powerful storytelling, VENT sheds light on real experiences, offering insights to inspire change!
Image was generated by ChatGPT
Fall in love with the problem, not the data – an interview with Mor Eini
Mor Eini’s career started in the Israeli Defense Force in the Office of the Prime Minister and took her to the VC ecosystem in Berlin. Mor Eini from APX, which is an early stage investor, explains how she evaluates a startup’s use of data. Mor also talks about the Israeli and Berlin ecosystems. She also shares her insights as a B2B investor on how data is a tool to create, foster, accelerate innovation, but data is not the innovation.
Building defensibility with Data Moats – an interview with Raúl Berganza Gómez
Competitive advantages enable your business to be successful. Defensibility is what you need to keep that competitive advantage. Data Moats leverage data to create parts of your business that are hard for competitors to replicate. In an open source, fast-moving digital world, building a deep moat gives your business the margin and time to maintain competitiveness.
Bridging the gap between data and money
This article was co-authored by Elizabeth Press and Peter Schroeter Data is a top priority on almost…
The co-dependence between data governance and growth – An interview with Irina Nikiforova
Irinia Nikiforova explains what data governance is and why it is essential for any business that not only wants to survive, but use insights from data or data-driven products to drive growth.
What can stop the cycle of chaos, under investment, attrition and over hiring in data teams? – An interview with Stevan Lazic
Data teams are often chaotic places to work, which leads to attrition, over hiring, burn-out and other bad side effects. Stevan Lazic, an experienced product engineering leader who has worked at numerous startups and scaleups, talks with Elizabeth Press about what he thinks is driving the unhealthy dynamic in many data teams and what measures can be taken so that data teams are properly resourced.