A universal human problem that we don’t often address is that historically, knowledge has been relatively siloed by language. But with advancements in AI, there are new opportunities to capture broader and deeper insights across the written and spoken word by breaking down global language and distance barriers. This was the topic of discussion on our most recent Data Legends podcast episode, featuring Amr Awadallah, founder and CEO at ZIR AI and former technology exec at Cloudera, Google, and Yahoo.

In this load test tutorial, you’ll learn how to use Postman for small-scale API testing. You’ll also learn about some shortcomings and challenges of the framework that can be solved by using a tool like Speedscale. Because HTTP services don’t have a graphical user interface, you’re forced to test web APIs by simulating requests from a known client so that you can control the traffic data.

Gaining an accurate view of revenue intelligence for B2B markers is challenging. With disconnected and dirty data residing in many systems, customers need a solution that collects, normalizes, and aggregates information into reports that answer the questions B2B marketers should have a handle on. And let’s face it, no matter how great a set of standard reports might be, every customer wants to see their data a little differently.

Data infrastructure is rapidly growing and evolving along with infrastructure for AI/ML, with the latter growing largely independent from the former. An emerging generation of AI/ML tooling emphasizes data-centric versus model-centric approaches to the ML development lifecycle. These tools recognize that data is the foundation for AI and seek to open opportunities for all data professionals to participate by eliminating the unnecessary complexity of traditional model-centric solutions.

While the title to this post is clearly playful, when it comes to customer success it’s all business. Our rapid growth has always been a function of our customers’ happiness. Regardless if it’s a new release or a service engagement, our internal focus revolves around a few key themes.

Creating Custom Google Sheets Metrics Made Easy with Databox.

In last week's office hours, Nicole and Paul sat down with engineering manager Marko Pandurovic to discuss the ever-evolving k6 backend. All systems turn more complex with time, and the k6 backend is no exception.

TL;DR: To add events monitoring with Crashlytics to a Unity Android app, you’ll first need to prepare a Firebase project, then add the Firebase plugin to Unity and configure Unity to work with Firebase. Finally, you also need to update your CI/CD pipeline to support the changes. Let’s see how to integrate Firebase Crashlytics into a Unity Android app to monitor and troubleshoot errors easily!

Anybody interested in providing products and services to consumers dreams of building a start-up. For any entrepreneur who aspires to create a market-leading product, this is the first step. In the post-covid pandemic era, you may easily start a digital business by simply creating a website. However, exposing all of your services and products on an internet platform has become a requirement. You will not be able to survive in the market if you do not do so.

All product designers, builders and owners strive to create true ‘ah-ha!’ moments in the products they create. But how do you do so in an era of incremental innovation? GM of Design & Digital at Yellowfin, Tony Prysten, shares his experiences.