Systems | Development | Analytics | API | Testing

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12 Tips for Developing a Successful Data Analytics Strategy

Building a data-driven company starts with having a data analytics strategy. An effective data analytics strategy relies on three key components: people, processes, and data infrastructure. This ensures that your analytics strategy is actionable and accessible to everyone who needs it to make decisions. In this post, we’re sharing 12 tips to help you develop an effective data analytics strategy.

Deep Diving Into the Erlang Scheduler

Erlang is renowned for its remarkable fault tolerance and high concurrency. Erlang's scheduler efficiently handles many lightweight processes. The scheduler plays a crucial role in managing processes, concurrency, and system resources, efficiently coordinating these elements to help Erlang maintain fault tolerance and support high levels of concurrency in its applications. This post will dissect some of the scheduler's key components and shed light on how it works internally. Let's get started!

Have We Already Exceeded AI's Capabilities?

Are we in an AI bubble? We can't stop talking about AI in tech. It's at every conference and in every startup pitch. But is the rest of the world as enamored as we are? In this conversation, we explore AI’s impact beyond the echo chamber of the tech industry. We look at attitudes toward AI in other spaces, from healthcare to finance, weighing the risks and benefits of its application. We also look to the future, questioning whether we’ve reached the limits of AI given compute power constraints.

Monorepos: HAL 9000-Approved Code Management and Collaboration

This is the third in a series. Read Part 1 and Part 2. “2001: A Space Odyssey” doesn’t spend time on the training contexts of its antagonist, HAL 9000. The only clues we get are upon its “death,” where it regresses back to its earliest lessons, like singing “Daisy Bell” as it winds down for the last time, suggesting it started with the very basics and grew more complex only with time and practice.

What Is Low-Code Integration and Is It Right for Your Enterprise?

Enterprises have complex IT and technology needs. To reach business goals, organizations must often stitch together a patchwork of software and IT systems. So, it’s understandable that the thought of adding yet another technology—low-code—might cause trepidation. But low-code excels at integrating seamlessly with any technology. Low-code tools speed up development work and enable rapid application development.

3 Key Drivers and Considerations for AI Analytics in 2024

For independent software vendors (ISVs), creating unique differentiators and value increasingly entails adopting the latest technologies to enhance your product experience, especially in an ever-evolving competitive landscape with multiple new tech solutions. AI analytics is the latest emerging field in business intelligence (BI) solutions that offers new sophisticated capabilities for the user experience (UX) of your product’s analytics component.

Confidential Computing: Reinforcing Security at the Point of Processing

Confidential computing offers a groundbreaking approach to data security confidentiality, vital for industries like healthcare, finance, and government, where sensitive information reigns supreme. Unlike traditional security measures that center on data at rest or in transit, confidential computing shields data during the processing phase itself.