Systems | Development | Analytics | API | Testing

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Will #AI Take Over Software Testing Jobs? | Vikas Mittal | #softwaretesting #chatgpt #aiandjobs

Join Vikas Mittal in a thought-provoking session as he delves into the question looming over the testing community—will AI take away a tester's job? In this talk, Vikas explores the impact of AI on testing roles, examining the potential challenges and opportunities. Gain valuable insights into how AI is reshaping the testing landscape and what it means for testers. Whether you're a testing professional curious about the future or an AI enthusiast interested in its applications, this session offers a nuanced perspective on the evolving intersection of AI and testing roles.

SaaS in 60 - Tabular Reporting

This week Qlik Cloud customers can now address common operational report and distribution requirements with our new Tabular Reporting capabilities. Report developers can use an O365 Excel add-in to create custom, formatted, Excel documents from Qlik data and Qlik visualizations. Governed Report Tasks can burst these reports, delivering recipient specific data to any stakeholder, with the Qlik platform as the source for business decisions.

How Your API Strategy Is Fundamental to Any Data Mesh Strategy

The data mesh approach has gained popularity over the last couple of years as organizations look for reliable ways to break down data silos. At first, data lakes looked like a good way to improve data management and make information more discoverable. Unfortunately, data lakes — and data warehouses — don’t always conform to business needs. They’re often slow and even unresponsive to queries. Potentially even worse, they can still lead to data silos.

Why Is Unique, Dynamic and Run-Time Test Data Important? | Vishal Parmar #testdata #softwaretesting

In this insightful session, Vishal Parmar sheds light on the critical significance of dynamic, unique, run-time, and compliant test data in the testing landscape. Explore the key takeaways, including the essential role of unique and dynamic test data, ensuring it aligns with prerequisites and localization requirements. Vishal emphasizes the importance of comprehensive data compliance, covering the removal of data during execution.

Enhancing Customer Service with Generative AI in Core Banking Systems

Customer services now constitute one of the key distinguishing factors of banks in an ever-changing environment. With increasing customer requirements, banks must adopt and incorporate novel technological methods to provide customized services. A very promising technology in this regard is generative AI. Generative AI in core banking systems will enable banks to transform their customer services by increasing efficiencies and building meaningful customer relationships.

Using ClearML and MONAI for Deep Learning in Healthcare

This tutorial shows how to use ClearML to manage MONAI experiments. Originating from a project co-founded by NVIDIA, MONAI stands for Medical Open Network for AI. It is a domain-specific open-source PyTorch-based framework for deep learning in healthcare imaging. This blog shares how to use the ClearML handlers in conjunction with the MONAI Toolkit. To view our code example, visit our GitHub page.

Microservices Trends: The Top 4 Trends That Will Shape Microservices Development

Microservices architecture has emerged as a popular approach for developing software applications in recent years. Instead of building monolithic applications, microservices architecture involves breaking down an application into smaller, independent services that can be developed, deployed, and scaled independently. This approach offers a number of benefits, including increased flexibility, better scalability, and improved fault tolerance.

What is Confluent?

Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion – designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations.