We know that data is a key driver of success in today data-driven world. In fact, according to Forrester, data and insight-driven businesses are growing at an average of more than 30% annually. However, becoming a data driven organization is not easy. Companies often struggle with speed in accessing and analyzing their data, as well with ensuring delivery of trustworthy data that is free of critical errors.

One of the things I'm really passionate about is data and how it can be used to influence decision-making. But everyone has their own personal biases and opinions that they use to create a narrative and this can affect how they look at data. So even when the data tells us one thing, we may see something completely different.

Continuous Integration and continuous delivery (CI/CD) is a complex part of any development cycle. It involves continuously integrating code into a shared repository to keep code progression amongst a team of developers running smooth and steady. This helps prevent merging errors, duplicated efforts and promoting collaboration to create a better product. That code is then thoroughly and continuously tested to keep problems from arising.

The integration landscape is changing. According to Gartner, “Two-thirds of all business leaders believe that their companies must pick up the pace of digital transformation to remain competitive.” One of the byproducts of this increasing pace is the desire to get results quickly. In a cloud-first world, that means expectations are changing for how products are trialed, procured, and billed. People expect things to be simpler, faster, and more intuitive.

As machine learning continues to address common use cases it is crucial to consider what it takes to operationalize your data into a practical, maintainable solution. This is particularly important in order to predict customer behavior more accurately, make more relevant product recommendations, personalize a treatment, or improve the accuracy of research.

We are excited to announce a partnership establishment with Sauce Labs – a cloud-hosted, web, and mobile application automated testing platform company. This collaboration aims at delivering better automated cloud execution, allowing software development businesses to release high-quality products faster. “One of the challenges that software development teams often face is not having a user-friendly test automation tool, or insufficiency in testing environments.

Katalon has recently rolled out an in-app integration with LambdaTest. LambdaTest is a cross-browser testing cloud services company that offers a wide range of real browsers and operating systems to perform live interactive testing, online automation with Selenium, as well as seamless testing collaboration.

Here at Ghost Inspector, we're continually rolling out new browser versions and automation logic updates. However, this month we've got a number of big changes launching at once and I wanted to discuss each in a little more detail. Here's a rundown of what's being added or changed — and how it might affect your tests.

Data lakes: smooth sailing or choppy waters? In May, Talend announced its support for Databricks’ open source Delta Lake, “a storage layer that sits on top of data lakes to ensure reliable data sources for machine learning and other data science-driven pursuits.” What does this mean for your company, and is Delta Lake right for you?

Data in organizations has become a significant risk issue. In recent years, new risks have emerged that have led many organizations to centralize their data and seek out new ways to mitigate their data risks through tighter data governance. Regulatory change, like the General Data Protection Regulation (GDPR) in Europe and the California Consumer Privacy Act (CCPA) in the US, have focused on data privacy.