Yesterday, Testlio officially announced a revolutionary new methodology for software quality: fused testing. This is a major milestone for our company. We are breaking down long-standing tensions between quality, speed, and coverage by seamlessly bringing together manual and automated testing through freelance talent, partnerships, platform capabilities, and strategic services.

Currently, there is an estimated 1.145 trillion MB of data created every single day. With such enormous volumes of data constantly being generated, businesses are quickly adopting cloud computing storage options. However, even with the popularity of cloud computing, many companies are still lagging in storage efficiency. One of the more innovative and efficient data warehouses is the cloud-based data storage solution Firebolt.

Amazon Web Services (AWS) has millions of customers, making it one of the most popular cloud platforms in the world. With over 200 services from data centers globally — compute, storage, databases, machine learning, artificial intelligence, data lakes, analytics, Internet of Things, etc. — AWS makes it easier for businesses to move applications to the cloud and streamline workflows. Still, many gaps exist in native AWS tools, which can limit your company’s AWS capabilities.

Last time, we discussed why organizations might require the functionality of a feature store like Iguazio's. In this blog, we will actually get into the project and cover the following.

We are excited to announce the release of Cloudera Streaming Analytics (CSA) 1.6 for CDP Private Cloud Base. With this release, we build on the foundation on 1.4 and 1.5 – with a number of fixes, enhancements, and features. Starting with this release, we now have an aligned release cycle for CSA Community Edition (CE). You can now expect simultaneous releases of CSA for both CE and CDP Private Cloud Base versions.

Gartner® recognized Cloudera in three recent reports – Magic Quadrant™ for Cloud Database Management Systems (DBMS), Critical Capabilities for Cloud Database Management Systems for Analytical Use Cases and Critical Capabilities for Cloud Database Management Systems for Operational Use Cases.

Organizations with the best Artificial intelligence (AI) capabilities are poised to deliver better customer outcomes, maximize revenue opportunities, and leave the competition behind. AI-driven insights can help companies achieve many business objectives such as improving customer loyalty, delivering effective training, reducing the impact of outages or providing better healthcare to patients. Applications are aplenty.

Founded in 1934 as a postal and telephone betting service, William Hill was historically synonymous with the world of horse racing. Since then, the company has continued to grow into other sporting avenues, with the retail arm—which opened in 1966—now amounting to more than 1,400 shops. Fully embracing the potential of the digital revolution, the company now comprises over 10,000 employees over six brands, operating through offices in ten countries.

Transforming customer experience is at the heart of digital transformation. Digital technologies are changing the game when it comes to customer interactions, with new rules and possibilities that were unimaginable only a few years ago. Customer identity and access management (CIAM) is a new field of identity and access management (IAM) that is fundamentally a component of digital customer experience.

The main objective of Customer IAM (CIAM) is to drive revenue growth by leveraging identity data to acquire and retain customers. It will build an identity-centric ecosystem to nurture an anonymous website visitor into a well-known loyal customer. We have come across multiple phases in the past, and today at the age of the customer, identity has become the glue for all contextual marketing. In doing that, in our journey towards CIAM, we face multiple challenges.