CIOs find big benefits in shift to human-centered design
As a service organization, Save the Children wants to know the impact of its programs. And the information it needs to gather to make that
As a service organization, Save the Children wants to know the impact of its programs. And the information it needs to gather to make that
AI text-to-image software like Midjourney, DALL-E and Stable Diffusion has the potential to change the way that architects approach the creation and concept stages of
Say it with me: bad data is inevitable. It doesn’t care about how proactive you are at writing dbt tests, how perfectly your data is
Not too long ago, professional web designers wouldn’t dream of using a no-code website builder—if you didn’t personally write each line of HTML and CSS,
Meta’s AI research labs have created a new state-of-the-art chatbot and are letting members of the public talk to the system in order to collect
Through the new partner initiative dbt Labs looks to strengthen integration links with developers of data governance, data quality and data management tools and leading
That’s not because companies are using the wrong methods or tools. Work-breakdown structure or analogy-based? Mechanical or judgmental combination? Function, use case, or story points?
A machine learning engineer is a programmer proficient in building and designing software to automate predictive models. They have a deeper focus on computer science,
Ask anyone in the data industry what’s hot these days and chances are “data mesh” will rise to the top of the list. But what
Data engineering combines elements of software engineering and data science and is one of the fastest-growing roles in IT. According to Indeed.com, data engineers develop and maintain
Deciding whether to build or buy a new software is a challenge every engineer has to deal with. In the world of data engineering, building
In 2022, data observability will be a must-have for every data team. But what is it and what does a good approach look like? Across