Systems | Development | Analytics | API | Testing

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The Future of Testing - A Roundtable Discussion on AI and Automation

Recent advances in artificial intelligence (AI), particularly in generative AI with the release of large language models (LLM) such as OpenAI’s GPT 3.5 and 4.0, Google’s Gemini, and Meta’s Llama in 2023, have had a profound effect on business procedures and practices in several industries, including software development, operation, and quality engineering (QE).

Episode 9: From cloud migration to real-time analytics | Davey Resource Group

Clinton McFall from Davey Resource Group explores the challenges of cloud migrations and the lessons learned along the way. McFall and his team tackle complex data challenges including client data isolation across large data lakes, managing asynchronous data collection from field technicians and safely leveraging GenAI to explore GIS data in new ways. Listen to learn about how the country’s 8th largest employee-owned company is using data to manage difficult environmental projects.

Transportation and Logistics Platform Showcase: Last-Mile Delivery

Are you interested in exploring software concepts for transportation and logistics? At ORIL, we utilize innovation and advanced technology to offer you our latest conceptual designs for Last-Mile Delivery Software. With a user-friendly interface, we've integrated essential features like route optimization, real-time delivery tracking, detailed analytics, and efficient management of drivers and customers. By combining all these elements, our conceptual design is set to make deliveries smoother, reduce costs, and satisfy customers even more.

7 Crucial Data Governance Best Practices To Implement

Data governance covers processes, roles, policies, standards, and metrics that help an organization achieve its goals by ensuring the effective and efficient use of information. It sets up the processes and responsibilities necessary to maintain the data’s quality and security across the business. Data governance manages the formal data assets of an organization.

Cypress vs. Playwright for Node: A Head-to-Head Comparison

It's essential to test web applications to ensure reliability, functionality, and a good user experience. That's why robust testing frameworks have become so important for web developers. Among the plethora of available tools, Cypress and Playwright have emerged as two of the most popular choices for automating end-to-end testing. In this Cypress versus Playwright comparison guide, we'll explore the strengths and weaknesses of the two tools, their features, and their differences. Cypress or Playwright?

A Ride Towards the Successful Bike Taxi App Development

Bike-Taxi Apps: Hailing as the powerful giant who emerged to take control, take charge, and change the commutation landscape! But are you aware of the rising popularity of bike taxi app development? According to GlobeNewswire, the market for online taxi services will increase from $34.82 billion in 2022 to $38.54 billion in 2023, growing at a 10.7% CAGR. Actually, we are talking about way ahead of 2023.

What's New in Kong Gateway 3.7?

We're thrilled to announce the general availability of Kong Gateway Open Source (OSS) 3.7. This latest version features cutting-edge AI Gateway updates with new streaming plugins, as well as performance and security improvements. Let’s dive into the enhancements and explore the tangible benefits that these features bring to your organization.

Upgrade Your Processes with 11 New Generative AI Skills in Appian 24.2

AI can offer transformative business value. But you need the right combination of capabilities. Appian is continuing its history of providing practical value to enterprises across industries with the new AI capabilities in our 24.2 release—from 11 new generative AI skills that help you optimize mission-critical processes to the release of our Enterprise Copilot that gives users instant answers to their questions. This post will cover the latest enhancements to our AI offerings.

What is QA Automation: Tools, Benefits, and Best Practices

Quality Assurance (QA) teams must run extensive tests to ensure that a website or application performs as intended before release. However, rather than manually running these tests, which can hinder productivity, modern teams are using QA automation. By automating QA testing workflows, teams can rapidly execute these tests using standardized processes, frameworks, and software. Developers can quickly fix any errors and deliver high-quality code so that product teams can speed up release times.

Data Engineering for AI at Scale with Qlik and Databricks

For data engineers, the Generative AI (Gen AI) era is a transformative shift in how we approach data architecture and analytics. Professionals at the forefront of this shift will be gathering in San Francisco, at the Data+AI Summit June 10-13. Attendees will be exploring tools that integrate with Databricks Intelligent Data Platform that decrease data management costs and improve data's impact on business outcomes.