Boyan Angelov
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Data Manifesto
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data2day 2024, Heidelberg
At this event I covered the most important strategic methods for data people, such as systems thinking, value stream mapping and building backwards.
Sep 17, 2024
Metaphorum 2024, Berlin
A presentation on product design and futures thinking.
Sep 16, 2024
ProductLab AI Products Strategy
At this event I described the best strategies to avoid failiure in data and AI-powered product design and development.
Aug 27, 2024
CDO Mag Article on Incentives for Data Leaders
In this article for CDO Magazine I describe the productive approaches data leaders can take in making invisible data work visible.
Jul 18, 2024
SDG Podcast
Elements of AI & Data Strategy and the via negativa approach
Mar 14, 2024
AIMag Article
Der Weg Zum KI-Getriebenen Unternehmen
Feb 1, 2024
Analytics Vidhya DataHour
Crafting and Implementing a GenAI Strategy with StratOps Principles
Jan 8, 2024
CDO Network Frankfurt
Taking Advantage of Unused Data in the Enterprise
Nov 13, 2023
Data Makers Festival
Lean Principles for Data and AI Product Development
Oct 23, 2023
Data for Good Podcast
Consulting skills for data people
Oct 21, 2023
StratOps for Data and AI
How to operationalize a Data and AI Strategy
Sep 7, 2023
Handelsblatt Article
Advanced analytics for traditional organizations
Aug 24, 2023
Let’s Talk AI Podcast
Discussion on career, strategy and being a CTO
Aug 21, 2023
Unlocking a Knowledge Factory
How can we combine the lean and agile frameworks?
Jul 26, 2023
Operationalizing Data Strategy (Data Masterclass)
A conversation on how to make data strategy operational.
Jun 8, 2023
Data Strategy: Key Principles and Best Practices (DataTalks.Club)
A conversation on what technical people need to know about data strategy.
Jun 2, 2023
Systems Thinking: 3 Steps to Tackle Complex Technical Problems
Practical advice on dealing with complex systems for engineering managers.
May 30, 2023
Hyper-personalization in LLMs
As of early 2023, most of us are still grappling with the opportunities, challenges, and unforeseen implications of Large Language Models (LLMs), such as GPT. GPT-4 is…
Mar 19, 2023
Datentreiber Interview
Interview with the data strategy consultancy Datentreiber
Feb 28, 2023
Defining Data Strategy (Univ.AI)
In this talk I cover the skills of data strategists, and the fundamental questions that they need to answer.
Dec 16, 2022
Managing the century of complexity
Progress in human society’s technological and social development has come at the cost of staggering complexity. Understanding this complexity’s origin, evolution, and…
Nov 28, 2022
Decision Making in Black Box Scenarios (LeadDev)
Making technology decisions on well-documented and stable systems can already be challenging, but how about opaque ones - when we deal with a black box? As technology…
Nov 21, 2022
Via Negativa for Data Projects (Unstructured)
A negative view on the current state can allow us to see productive patterns. In this talk I describe typical scenarios in how data initiatives fail and uncover ways forward.
Mar 18, 2022
Project Management for Data Teams Panel
The adoption and subsequent success of data science projects in organizations are still limited. Even with skilled teams and an abundance of resources and data, this can…
Oct 8, 2021
DataFramed Podcast
In this episode of DataFramed, we speak with Rick Scavetta and Boyan Angelov about their new book, Python and R for the Modern Data Scientist: The Best of Both Worlds, and…
Sep 6, 2021
VSM Workshop Template
The Viable System Model is a tool to model the organizational structure of a system. It was invented by Stafford Beer in the 1970s. While it can be used in numerous domains…
Jun 1, 2021
Elements of Data Strategy Workshop Template
The Data Strategy Workshop template provides all the materials necessary for the design of a basic data strategy. It consists of a representation of a data strategy’s…
May 10, 2021
Towards homeostatic project management
Visualization describing a self-correcting project management system
Jan 5, 2021
Explainable AI for Ecology
Species distribution models (SDMs) are widely used in ecology, biogeography and conservation biology to estimate relationships between environmental variables and species…
Nov 17, 2020
Research Data Strategy
The need for large amounts of data permeates almost all fields of research. New technologies related to machine learning (deep learning in particular), cloud computing, the…
Nov 10, 2020
species2vec
Word embeddings are omnipresent in Natural Language Processing (NLP) tasks. The same technology which defines words by their context can also define biological species. This…
Dec 22, 2019
sdmbench
sdmbench
is an R package for benchmarking species distribution models. It provides a set of functions to compare the performance of different species distribution models…
Sep 29, 2018
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