Systems | Development | Analytics | API | Testing

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The AI Financial Bubble Point of View

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.

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.

REST API Security Essentials

Cybersecurity is one of the most prominent and pressing concerns for businesses today. As developers move more of their web applications to a microservices architecture, data is shared by web service APIs now more than ever. Industry analysts predicted that API attacks would become the most common attack vector by the end of this year. Unfortunately, that prediction has come true.

What is Metadata Governance?

Metadata governance is the systematic approach to managing metadata, or data about data, to ensure it is accurate, consistently formatted, and securely stored. The main goal of metadata governance is to improve data quality, ensure data privacy, and streamline metadata management. As metadata provides the necessary details about data, such as when it was created, by whom, and its content or purpose, it becomes easier for employees to find, understand, and trust the data they use.

What is a Microapp: An Emerging Trend

The microapp trend is on the rise! In the approximately two years since joining the DreamFactory team, I’d estimate I’ve conversed with more than one thousand companies about their API-based projects. These conversations provide a great opportunity to peer inside the IT operations of organizations large and small, not to mention pick up on emerging technology trends.

7 Data Quality Metrics to Assess Your Data Health

No matter their size, all organizations rely heavily on the data they collect and manage. This data ranges from customer information to sales records, employee performance, and more. However, if this data is inaccurate, outdated, or incomplete, it becomes more of a liability than an asset, making it more important to measure its health. To do so, they need data quality metrics relevant to their specific needs.

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.

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!

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.