Gigi’s Notebook
October 2026 editionThoughts on AI, content, product, and whatever I'm learning
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- 61ContentA Day in My Life as a Technical Content Writer at a Data Science CompanyA self-interview on daily life as an Internal Journalist at Appsilon, covering morning routines, writing workflow, tools, and continuous learning.
- 62Productivity5 Productivity Tools I Absolutely Love in 2024Five favorite productivity tools for 2024, from the Groove coworking community to ChatGPT, Claude, digital planners, Google Calendar, and Finch.
- 63AI/MLA Simplified Guide to AI Governance in AfricaAn accessible overview of how African countries govern AI through policies and regulations, with key players, core issues, and a Rwanda case study.
- 64Other Tech TopicsBuilding a Simple Web Server in GoA beginner-friendly Go tutorial that builds a small web server handling HTTP requests and returning JSON, with greet and penguin endpoints.
- 65AI/MLResponsible AI Practices for Product ManagersAs AI has become an integral part of our lives, shaping almost everything from our online experiences, critical decision-making processes and handling day-to-day interactions.As product managers, it is our responsibility to ensure that the AI systems we develop adhere to ethical guidelines and promote responsible practices.By implementing these principles, we can create products that utilize AI to have a positive impact on users and society at large.In this article, we will explore some essentia
- 66AI/MLInclusivity, Values to Shape Future Scenarios When AI Outwits HumansOnly if humanity can devise AI systems that are inclusive and align with its shared values may it avert the AI apocalypse.
- 67AI/MLSourcing Data for AI Model Building: Exploring Methods and ConsiderationsIn the field of AI product management, the availability and quality of data play a crucial role in building successful models.The process of sourcing data involves considering various factors such as open and closed sources, outsourcing data collection and annotation, in-house efforts, and alternative methods.In this article, we will explore these different approaches, their pros and cons, and determine which methods work best based on specific situations. Let’s begin:1. Open SourcesOpen sources
- 68AI/MLChallenges and Considerations for AI Product ManagersWith great power comes great responsibility. As product managers embark on the journey of implementing machine learning systems, they must navigate various ethical and privacy concerns, ensure data quality and mitigate bias, integrate with existing systems, and prioritize continuous learning and improvement. Furthermore, effective collaboration with the data and machine learning team is crucial for success.In this article, we will delve into these key considerations and explore how product manag
- 69AI/MLKey Steps in Implementing Machine Learning ProjectsSuccessful implementation of machine learning projects requires careful planning and execution.This article will outline the key steps in implementing machine learning projects and provide questions to help product managers navigate the processes effectively.Problem Definition and Goal SettingThe first step in implementing a machine learning project is to clearly define the business problem that needs to be addressed and establish specific goals for the ML project.Product managers must have a de
- 70AI/MLThe Basics of Machine Learning for Product ManagersInthis article, we will delve into the fundamental concepts of artificial intelligence, machine learning and explore their significance for product managers.Let’s begin.What is Artificial Intelligence (AI)?Artificial Intelligence (AI) refers to developing computer systems that can perform tasks that typically require human intelligence.It encompasses a wide range of technologies, algorithms, and approaches to enable machines to mimic cognitive functions like learning, problem-solving, perception
A note from the editor
Hi, I'm Gigi.
AI content marketer, product storyteller, and founder of Asele. I turn technical work into content that moves people to act.
More about me ↗