Systems | Development | Analytics | API | Testing

Everyone associated with Business Intelligence (BI) applications is talking about their Artificial Intelligence (AI) journey and the integration of AI in analytics. Artificial intelligence encompasses a broad spectrum of categories, including machine learning, natural language processing, computer vision, and automated insights. ThoughtSpot has been a leader in augmented analytics, leveraging AI to automate insights and empower users to make data-driven decisions.

In this episode, Derric Gilling sits down with David Biesack, Chief API Officer at Apiture, to discuss building an API-first, customer-centric digital banking platform from the ground up. David shares the origin story of Apiture, a joint venture born from a vision of open banking, and how his team embedded API design and governance into every layer of the product.

Feeling the pressure to test faster and ship cleaner code? You’re not alone. Test automation has become the secret weapon for teams that want speed, accuracy, and zero surprises in production. And the numbers back it up—according to MarketsAndMarkets, the automation testing market is set to grow from $28.1 billion in 2023 to a massive $55.2 billion by 2028. That’s not just growth—it’s a clear sign that the future of QA is fully automated.

We know how it feels when a critical build gets stuck in a long queue.

In the world of web applications, linking a hosted user interface (UI) with a secure backend on an AWS EC2 instance is essential for creating a seamless, scalable, and secure user experience. This guide covers each step in the process, from launching and configuring an EC2 instance to implementing HTTPS for secure communication.

Go is an incredibly useful programming language, but not all that popular among web developers. Most other languages that are used for web development have dominant frameworks - Ruby has Rails, PHP has Laravel, Python has Django, and so on. Golang web frameworks for web development are a bit more fractured with several competing (and in some cases complementary) options.

An engineering Key Performance Indicator (KPI) or metric is a clearly defined quantifiable measure that an engineering firm uses to gauge its success over time. With engineering being a very broad field, KPIs are employed in a variety of ways, ranging from company-wide analysis to project specific performance metrics. Company wide KPIs can be used to compare companies in the same industry, while project specific KPIs should be used internally to evaluate project performance.

As data-driven decision-making becomes more complex, businesses need tools that don’t just analyze data but actively guide smarter, faster decisions. At Databox, we are embracing the shift. In 2024, AI became one of our top strategic priorities. Now, we are taking an even more significant step: transitioning into an AI-first company.

Data visualization is an elementary component of human learning and understanding. It's also a significant capability of business intelligence (BI) and analytics solutions today. So, how did data visualization first come to be? The humble origins and gradual evolution of data visualization tools has led to an interesting timeline.

Cloud computing has reshaped the digital landscape, offering unparalleled scalability, flexibility, and cost-effectiveness to businesses worldwide. Imagine entrusting your most valuable possessions to a high-tech, automated storage facility—accessible anytime, anywhere, but also potentially vulnerable if not adequately protected. This analogy perfectly encapsulates cloud computing: convenient, yet requiring robust security measures to guard against threats.