Systems | Development | Analytics | API | Testing

Palo Alto Networks used BigQuery ML to automatically identify and label the owner, environment, and cost center for each of its cloud projects.

Find out how Livesport reduced data engineering by 70% while increasing data activation with Dataddo and BigQuery.

Today, e-commerce has become much of the world's preferred way to shop, thanks to its convenience and accessibility. With more shoppers looking at online stores, both small and large businesses alike need to establish their presence in the online marketplace. A key player in this transition is Shopify, a game-changing commerce platform that simplifies building, customizing, growing, and managing an online store.

In the face of Canada’s housing crisis, the University of British Columbia’s Housing Assessment Resource Tools (HART) set out to make government census data more accessible. By developing more intuitive tools and offering valuable resources, HART plays a key role in providing essential information for governments, housing developers, and the public to make informed, data-driven decisions.

I am a software engineer and part of a team at Mobi Lab, a design agency. In Mobi Lab, we build successful digital products and augmented reality solutions for people on the go. In this post, I will share what we have learned about the importance of continuous integration and delivery (“CI/CD”) and how Codemagic improves our workflow and makes our clients happy.

The global software development firm builds a scalable data stack that reduces the time to acquire data by 92% and supports predictive AI.

Sense is a talent engagement platform that improves recruitment processes with automation, AI and personalization. Since AI is a central pillar of their value offering, Sense has invested heavily in a robust engineering organization, including a large number of data and data science professionals. This includes a data team, an analytics team, DevOps, AI/ML, and a data science team. The AI/Ml team is made up of ML engineers, data scientists and backend product engineers.

Sense is a talent engagement company whose platform improves the recruitment processes with automation, AI and personalization. Since AI is a central pillar of their value offering, Sense has invested heavily in a robust engineering organization including a large number of data and AI professionals. This includes a data team, an analytics team, DevOps, AI/ML, and a data science team. The AI/Ml team is made up of ML engineers, data scientists and backend product engineers.

Seznam.cz is the most visited internet portal in the Czech Republic. Launched in 1996, it now incorporates more than 30 other web services and has expanded to radio, TV, print news and more. With over 382 million monthly visits, the most popular site in the country even outranks Google. But sustaining this growth in the data-driven era would never have been possible without leaving behind Seznam’s outdated legacy systems.