Systems | Development | Analytics | API | Testing

I’m a firm believer that banks rarely invest to drive revenue and elevate customer service. But I recently hosted a roundtable discussion in London with Appian, a process automation platform company, where leaders from mainstream and challenger banks in the UK gathered to discuss the challenges facing financial institutions when adopting new technology.

Data management in the modern enterprise requires skill and stamina. With the mountainous rise in data volume and the complexity of managing disparate data sources across a wide variety of legacy systems and hybrid cloud environments, it can seem virtually impossible to successfully climb past enterprise data obstacles to success. However, data fabric technology eliminates some of those obstacles. Is it the answer for your data strategy?

Traditionally, manual test management and automated testing generate independent quality reporting data that has to be either manually integrated in spreadsheets or programmatically via scripts and reporting tools. This process takes valuable QA time away from actual testing and can also create inconsistency and inaccuracy when reporting on release readiness due to both the lag time in combining data from both sources and general human error.

The UX design career is one of the most sought-after at the moment, and with good reason – the role of the UX designer has become more important. According to Econsultancy, businesses are now realizing that 74% of users will return to their websites if they have good UX. Conversely, companies lose visitors if their websites have bad UX. With the popularity of the UX designer comes decent remuneration, and understandably, many people are starting careers in UX design.

Data movement is an essential aspect of modern computing, as it involves the transfer of data from one location to another. This process is critical for data processing, storage, and analysis, and it can be performed in various ways, including network transfers, file transfers, and memory transfers.

Your team needs the latest, cutting-edge upgrades for reporting so they can communicate and collaborate via a central platform. How can you ensure they are enabled to access the real-time data and build the reports they need? Keep reading to see some benefits that upgrading to Hubble Enterprise can provide. Hubble Enterprise allows existing Hubble customers to achieve their business goals with easy, immediate access to business-critical data.

From DIY opportunity cost and pipeline maintenance to moving and transforming data, here’s how to judge the cost-effectiveness of ELT.

If you have managed a cloud data platform, you have undoubtedly gotten that call. You know the one, it's usually from finance or the office of the CFO, inquiring about your monthly spend. And it usually comes in one of two forms: While both are clear and present dangers to cloud data platform owners, they don’t have to be.

Deciding where to run your enterprise workloads is one of the biggest business decisions you’ll make. That’s because your chosen deployment model influences how you access software and systems, scale your business, and safeguard sensitive data. There are three main deployment methods you need to know about: Self-hosted, on-premises, and cloud. All three models have pros and cons, so it’s important to do your research before investing in new infrastructure and/or services.

We recently rolled out our very own GPU autoscaler in Collaboration with Genesis Cloud and it has been quite a success. Also recently, YOLOv8 by Ultralytics was unveiled, the new king of object detection, segmentation and classification. In this blogpost we’ll see that you can train a computer vision model using the ClearML/Genesis Cloud autoscaler at a fraction of the cost of competing cloud services like AWS or GCP. And it even runs 100% off of green energy! 😎