About 80% of the world’s data is unstructured. Unstructured data within documents, emails, web pages, images, comments on blogs and social media sites, and more can be extraordinarily valuable, making the ability to process this kind of data vital for organizations that want to make data-driven decisions.

With cybercrime continuing to grow at an alarming rate and cybercriminals getting increasingly clever about how they get their hands on your precious data, API authentication is more important than ever. If you’ve ever logged into an app or website using your Facebook or Google account, then you’ve used API authentication. APIs are the backbone of the internet. They allow disparate systems and login pages to communicate, exchanging user data and triggering actions.

Ecommerce businesses have been dominating the online community for quite some time now. Over the years, we have seen many enterprises transform to operate online, and customers rely more on online marketplaces due to accessibility and comfort. Perhaps the most important outcome of this digital transformation was the concept of Software-as-a-service (SAAS). SAAS has allowed organizations to sell digital solutions and create a client base.

Complete guide on how to use Google Search Console for SEO, combined with 19 expert tips gathered from 100+ marketers.

In the first part of this series on maintainable Elixir code, we started by applying rules for code predictability in our code design. We immediately saw an emerging pattern: a series of transformations on state. In this part, we'll explore this pattern further. We'll first learn how to write expressions as reducers. Then we'll use metaprogramming to make use of reducers and enforce code style seamlessly. Finishing up, we'll see an example where all the pieces fit together. Let's get going!

Every organization knows what quality should look like for the products they work on. However, what’s the best way of knowing whether the obtained quality compares to the expected quality of the product(s)? Quality can be both quantitative and qualitative. Many questions could be asked to determine quality. For example, "How do you feel about the product you use? How easy is it to use? Does it behave as expected? Do customers keep coming back to use our product?

For the future of business, merely maintaining the status quo won’t be enough. Organizations need to both improve the speed at which they are building applications and expand their pool of developers. Sound challenging? Low-code can help.

Here at Appian we're really excited to have released our low-code data security feature earlier this year. If you're not sure what that is, you're in good company. Even our parents just look at us blankly before saying "that's nice, dear" and changing the subject. Someone who doesn't love us unconditionally might be more skeptical.

AutoML with experiment tracking enables logging and tracking results and parameters, to optimize machine learning processes. But current AutoML platforms only train models based on provided data. They lack solutions that automate the entire ML pipeline, leaving data scientists and data engineers to deal with manual operationalization efforts. In this post, we provide an open source solution for AutoMLOps, which automates engineering tasks so that your code is automatically ready for production.

Global data, analytics and technology companies such as Equifax, and their Engineering teams, depend on log analytics for a variety of operational analytics use cases, from application troubleshooting to streamlining cloud operations and regulatory compliance management. ChaosSearch is uniquely positioned to help companies like Equifax significantly reduce the time, cost, and complexity of log analytics.