# Raphaël Hoogvliets Welcome to my blog! Articles will cover MLOps from the CxO level to beginner code. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## The Benefits and Costs of Building a Personal Brand DevFeed: [The Benefits and Costs of Building a Personal Brand]() Original publisher: [Read original article]() Author: Raphaël Hoogvliets Published: 2025-01-15T11:50:14Z Content type: opinion Language: en Sources: [Raphaël Hoogvliets]() Topics: [Website](), [Code](), [genai]() Tags: [blog](), [burnout](), [career](), [code](), [linkedin](), [mental-health](), [networking](), [personal](), [social-media]() ### AI overview The article argues that building a personal brand can help tech professionals with networking, learning, confidence, and career opportunities, but it also requires substantial time, may have an uncertain return, and can harm mental health through social-media use. The author concludes that it is valuable for some people but not suitable or necessary for everyone. ### Source excerpt Maybe you shouldn't be building a personal brand ## Issue #1 - The ML platform ghost ship DevFeed: [Issue #1 - The ML platform ghost ship]() Original publisher: [Read original article]() Author: Raphaël Hoogvliets Published: 2024-05-30T17:18:28Z Content type: opinion Language: en Sources: [Raphaël Hoogvliets]() Topics: [Machine learning](), [databricks](), [Data Science](), [CSV]() Tags: [csv](), [data-science](), [databricks](), [ml](), [ml-platform](), [platform]() ### AI overview A consultant recounts a data science project that produced a Databricks ML platform but could not integrate with organizational systems because of blocked IT migrations. The team resorted to manually uploaded CSV files to trigger the pipeline, and the project was eventually abandoned. ### Source excerpt Really? csv-files? 🥲 ## MLOps seen by a CIO DevFeed: [MLOps seen by a CIO]() Original publisher: [Read original article]() Author: Raphaël Hoogvliets Published: 2024-02-07T09:41:29Z Content type: opinion Language: en Sources: [Raphaël Hoogvliets]() Topics: [MLOps](), [data-platforms](), [digital]() Tags: [article](), [insights](), [leadership](), [mlops]() ### AI overview An interview with Ahmed Fessi examines MLOps and broader technology transformation from a CIO's perspective. It discusses executive-level challenges, the differences between technology work in tech and non-tech companies, and the importance of evaluating technologies beyond hype, including their value, opportunities, risks, and implementation considerations. ### Source excerpt Beyond the hype to real-world applications ## How to sell MLOps in large Organizations DevFeed: [How to sell MLOps in large Organizations]() Original publisher: [Read original article]() Author: Raphaël Hoogvliets Published: 2024-02-07T09:36:58Z Content type: tutorial Language: en Sources: [Raphaël Hoogvliets]() Topics: [MLOps](), [data-governance](), [Security]() Tags: [how-to](), [mlops](), [organizations](), [stakeholder-management](), [strategy]() ### AI overview This article offers practical advice for gaining management buy-in for MLOps initiatives in non-technical organizations where machine learning is still viewed as a nice-to-have. It argues that MLOps is often overlooked despite helping keep data investments and ML results available, dependable, and tested. ### Source excerpt A toolbox for strategy and stakeholder management ## Installing Python on a Mac with pyenv and pyenv-virtualenv DevFeed: [Installing Python on a Mac with pyenv and pyenv-virtualenv]() Original publisher: [Read original article]() Author: Raphaël Hoogvliets Published: 2024-02-07T09:27:30Z Content type: tutorial Language: en Sources: [Raphaël Hoogvliets]() Topics: [Python](), [Dependency management]() Tags: [dependency-management](), [install](), [mac](), [python]() ### AI overview This tutorial recommends using pyenv with pyenv-virtualenv to install and manage Python on a Mac. It explains how pyenv supports multiple Python versions, project-specific version pinning, user-local installations, and isolated per-project dependencies. ### Source excerpt Carefree and flexible Python use awaits you! ## A miniguide to AI Product Management DevFeed: [A miniguide to AI Product Management]() Original publisher: [Read original article]() Author: Raphaël Hoogvliets Published: 2024-02-07T09:23:52Z Content type: tutorial Language: en Sources: [Raphaël Hoogvliets]() Topics: [Artificial Intelligence](), [Product Management](), [MLOps](), [Continuous integration](), [Requirements](), [Data Quality](), [Testing](), [Deployment]() Tags: [ai](), [data-quality](), [deployment](), [management](), [mlops](), [product-management](), [requirements](), [testing]() ### AI overview A practical guide for aspiring AI product managers covering MLOps processes, business alignment, requirements gathering, iterative development, governance, data privacy, and data quality. ### Source excerpt Navigate the challenges of tech innovation in a multi-stakeholder landscape ## CI/CD for MLOps on GitLab (part 1) DevFeed: [CI/CD for MLOps on GitLab (part 1)]() Original publisher: [Read original article]() Author: Raphaël Hoogvliets Published: 2024-02-07T09:17:27Z Content type: tutorial Language: en Sources: [Raphaël Hoogvliets]() Topics: [CI/CD](), [GitLab](), [MLOps](), [Python](), [Testing]() Tags: [ci-cd](), [gitlab](), [mlops](), [pre-commit-hooks](), [python](), [quality-assurance]() ### AI overview A tutorial introducing CI pipelines as part of CI/CD for MLOps and demonstrating how to build a simple CI pipeline with GitLab CI/CD for a Python project. It explains benefits including consistency, speed, scalability, version control, reproducibility, and automated testing. ### Source excerpt Code your way to your first CI pipeline ## Building an effective MLOps team DevFeed: [Building an effective MLOps team]() Original publisher: [Read original article]() Author: Raphaël Hoogvliets Published: 2024-02-07T09:10:46Z Content type: tutorial Language: en Sources: [Raphaël Hoogvliets]() Topics: [MLOps](), [Software Engineering](), [Testing](), [data-engineering]() Tags: [article](), [data-engineering](), [engineering](), [mlops](), [testing]() ### AI overview This article proposes a team structure for MLOps, discussing the positions and organizational system needed to support machine learning operations. It explains why robust MLOps teams matter as ML pipelines become increasingly tied to business operations. ### Source excerpt A template for building your dream team ## Pre-commit hooks for Python and MLOps CI and deployment practices DevFeed: [Pre-commit hooks for Python and MLOps CI and deployment practices]() Original publisher: [Read original article]() Author: Raphaël Hoogvliets Published: 2024-02-07T08:53:41Z Content type: tutorial Language: en Sources: [Raphaël Hoogvliets]() Topics: [pre-commit](), [ci](), [Deployment](), [MLOps](), [Python]() Tags: [best-practices](), [ci](), [code](), [deployment](), [mlops](), [pre-commit](), [python]() ### AI overview This tutorial explains how pre-commit hooks run code checks before changes enter local or remote repositories and in CI pipelines. It introduces categories of hooks and previews a selection for Python and MLOps workflows. ### Source excerpt Where I learned to stop worrying and love deployment