Posted in AI Strategy, Business, Data as an asset, Data product management, Data strategy, Strategy

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.

Posted in Data careers, Data Leadership, Immigration

Growing the AI Guild  – An interview with Dânia Meira, Co-Founder and Director of the AI Guild

The AI Guild has become a brand synonymous with AI thought leadership and expertise in the Berlin Tech Scene and beyond. Immigration, integration, sharing personal challenges and working together towards professional growth are all elements of the human story behind the technology that are talked about in this interview and retrospective.

Posted in AI Strategy, AI use case, Data education, Data politics, Data Products, Data science, Education

The prevalence of AI and importance of engaging in dialogue

AI is becoming omnipresent in our lives and is shaping our world. Thus wider public involvement in determining how AI is designed and used is important for society. Understanding AI and getting involved in how it is applied and governed might seem daunting, but Varsh Anilkumar offers some ways to get involved and learn about AI.

Posted in Change management, Data Leadership, Immigration, Inclusion, Society

Why managers should drink coffee: A Military Veteran’s take on change management

Neil Herzog-Gilroy is a former British Army Military Intelligence Operator. He draws on 20 plus years of experience of working with various Intelligence and Law Enforcement Agencies around the world to bring us some food for thought on how to manage change in fast paced environments where people are the most important resource.

Posted in Business, Data Leadership, Data strategy, Hiring, Strategy

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…

Posted in Business, Data as an asset, Data Leadership, Data strategy, Finance

Data only has financial value if it can be monetized – An interview with Michael Guthammar

Having no physical form, data is an intangible asset. Data is often a contributory asset as well, its value being realized via the ability to generate profit through, for example, insight used in decision making or algorithmic-product such as a recommendation engine. Certain methods and considerations are required when valuing data.

Posted in Data governance, Data Leadership, Data politics, Data privacy, Deutsch

Die Interoperabilität von Daten als Voraussetzung für Innovation im Gesundheitswesen – Ein Gespräch mit Jörg Godau

Startups im Gesundheitswesen wie doctorly sehen die Chance, mit SaaS-Plattformen, die auf offenen Standards im Gesundheitswesen basieren, das Rad neu zu erfinden. Das etablierte Gesundheitssystem basiert auf einer fragmentierten Landschaft von Softwareanbietern und Datenlösungen. Dateninteroperabilität bietet die Chance, Innovationen im Gesundheitswesen in Deutschland und darüber hinaus zu ermöglichen.

Posted in Data governance, Data Leadership, Data politics, Data privacy

Data interoperability is a precondition for healthcare innovation – An interview with Jörg (Jack) Godau

Healthtech startups such as doctorly and others see the opportunity to reinvent the wheel with SaaS platforms based on open standards in healthcare. The incumbent healthcare system is based on a fragmented landscape of software providers and data solutions. Data interoperability presents an opportunity to unblock innovation in healthcare in Germany and beyond.

Posted in Data governance, Data Leadership, Data quality, Data strategy, Technical debt

Tech debt sloth breeds a culture of sloppy operations – An interview with Daniele Marmiroli, PhD

Tech debt is often unavoidable in most early stage startups. Not fixing the tech debt as a company gets traction and scales is more of a problem than the original creation of the tech debt. Turning a blind eye to tech debt has implications beyond the stack and creates an unstructured and sloppy culture.

Posted in Data governance, Data Leadership, Data quality, Data strategy

Data governance starts at both the C-Suite and metadata level of your organization- An interview with Laurent Dresse

Facilitating the interface between IT and business is data governance, which is filled with opportunity. There is no specific career path into data governance, but the ability to understand metadata and contextualize organizational insights to executives holds much opportunity.