During a time of high interest rates and restrained spending, Buy Now, Pay Later (BNPL) is offering another avenue for consumers to cope financially. In...

Business professionals are constantly looking for new ways to extract value from their data as the world becomes increasingly data-driven. The AI and Big Data platform DigiXT has emerged as a game-changer in this space. With its Generative AI capabilities, DigiXT empowers business users to make data-driven decisions efficiently. On-the-fly analytics generated by AI DigiXT’s AI-generated visualization capability is a significant departure from traditional data analysis methods. By leveraging machine learning algorithms, DigiXT can generate visualizations in real time, providing business users with instant insights into their data. This feature is useful for business users who need to analyze large datasets quickly and accurately without needing support from the technical team. For instance, a marketing manager can...

How to create a production-grade pipeline for object detectionOverview of the project flow. Image by author.Table of ContentsIntroduction (Or What’s in a Title)The Reality of MLOps without the OpsManaging Dependencies EffectivelyHow to Debug a Production FlowFinding the Goldilocks Step SizeTakeawaysReferencesRelevant LinksNavigating the world of data science job titles can be overwhelming. Here are just some of the examples I’ve seen recently on LinkedIn:Data scientistMachine learning engineerML Ops engineerData scientist/machine learning engineerMachine learning performance engineer…and the list goes on and on. Let’s focus on two key roles: data scientist and machine learning engineer. According to Chip Huyen in her book, Introduction to Machine Learning Interviews :The goal of data science is to generate business insights, whereas...