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Latest Posts

Does Your Company Suffer From a Lack of Data Democratization?

In the era of big data, an unprecedented amount of data is available to companies to drive growth. Yet up to 73% of companies’ data never get used. What are the bottlenecks to accessing data? And why is there such a wide gap between the data we have in our data lakes and data warehouses and the data we end up using for making business decisions? The smoking gun is in the hands of data democratization.

How IoT is Revolutionizing the Insurance Sector: Use Cases and Benefits

Traditional businesses are projected to be disrupted and revolutionized at an unprecedented rate as the Internet of Things (IoT) emerges. These new technologies have the potential to benefit the insurance business, which has been hesitant to adapt in the past. Before we get into how the Internet of Things will affect insurance, let’s define what we mean by “IoT” in this context.

A CFO's Perspective: Understanding The Positive Business Impact of a Modern Financial Analytics Approach

I recently sat down with CFODive to discuss the importance of modern financial analytics in transforming the way financial leaders and their organizations operate – a topic that is only becoming increasingly prominent. Business strategies have had to rapidly adjust to address market volatility, consumer trends, and unpredictable world events. These dynamics have forced finance teams to rethink how they are using data and analytics and take a more modern approach.

What is a DevOps Test Toolchain and Why it Matters for Your Mobile App Development

The digital experience is now primary to our everyday lives. Our recent consumer report, Every Experience Matters, dove into quality and how it affects consumer behavior. We know, for example, that 20% of users will abandon a brand after encountering even one error on a mobile app. At the user level, everything comes down to customer experience.

6 Reasons Why Python Is Best for Apps Using AI, ML and Data Analytics

There are a variety of technology stacks for Artificial intelligence (AI), Machine learning (ML) and data analytics applications. However, the ideal programming language for AI must be powerful, scalable and readable. All three conditions are met by the Python programming language. With outstanding libraries, tools and frameworks for AI, ML and data analytics, Python has proven success leveraging all three technologies.

Why Data Engineers, Scientists, and Analysts Need Data Observability.

Data has become the lifeblood of most organizations. Yet, despite using data almost daily to make critical business decisions, few organizations have complete visibility into the health and usage of their data. Moreover, as the acceleration of data usage has increased, so too has the complexity of data systems, increasing the risks of data-related issues and making it even more difficult to identify and resolve issues related to data quickly.

The Future of Passwordless Authentication

Do you recall what your first password was? It was probably something easy that you could remember easily, such as your birthdate or the name of your pet. However, as you created additional online accounts, your passwords grew more complex and difficult to remember. It's a problem that many people face. As a result, many of us tend to reuse passwords across many accounts, exposing our personal information to theft.

Why Software Development and Quality Teams Need a Testing Platform, Not Just Tools

As Agile and DevOps development methodologies have matured over the past decade, companies have made great strides in creating software development platforms that are open and integrated. These platforms have greatly improved the efficiency and collaborative capability of development teams. They have helped break down silos of work, improve communication and clarity, and provide visibility into all activities in software development.

Bootstrapping with Ruby on Rails Generators and Templates

Rails' batteries-included approach is one of its greatest assets. No other framework makes it so effortless to get your application off the ground quickly, at least partially due to Rails' generators. If you've used Rails for any amount of time, you have come across generators. Need to create a new application? Run rails new. Need to scaffold a bunch of new models and views? Run rails generate scaffold. There are dozens more available to help you get started rapidly or streamline your workflow.