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Using GraphQL API in Android

Since it was created by Facebook in 2012 and made publicly available in 2015, GarphQL has changed everything about how we fetch data from servers for our front-end apps. Most front-end clients typically use REST APIs to retrieve data from the server, this includes mobile apps for platforms like Android, iOS, and Flutter, as well as JavaScript frameworks like React, Angular, Vue, and Next. A huge advantage of GraphQL is that it enables front-end clients to request only the API they require.

15+ Mobile App Testing Statistics

As global app downloads have doubled every quarter since 2015, and users now spend more time on apps than websites, the need for thorough mobile app testing is more critical than ever. The app testing market is projected to reach $13.6 billion by 2026. This blog will cover key mobile app testing statistics and explore why it is essential for delivering high-quality user experiences and maintaining competitive advantage.

How to Implement Gen AI in Highly Regulated Environments: Financial Services and Telecommunications and More

If 2023 was the year of gen experimentation, 2024 is the year of gen AI implementation. As companies embark on their implementation journey, they need to deal with a host of challenges, like performance, GPU efficiency and LLM risks. These challenges are exacerbated in highly-regulated industries, such as financial services and telecommunication, adding further implementation complexities. Below, we discuss these challenges and present some best practices and solutions to take into consideration.

Build Scalable AI-Enabled Applications with Confluent and AWS

In this video, Confluent and AWS address enterprises' challenges in deploying generative AI and how Confluent Cloud and Amazon Bedrock empower organizations to build scalable, AI-enabled applications. We'll explore how Confluent's comprehensive data streaming platform enables you to stream, connect, and govern data at scale, creating real-time, contextualized, and trustworthy applications that differentiate generative AI.

The Bank of Things (BoT): What IoT Brings to Fintech Software Development

IoT is driving the digital metamorphosis in the banking industry. The surge in internet-enabled devices, like smartphones, tablets, and smartwatches, signifies an increase in opportunities for fintech software development to scale their business through the Bank of Things (BoT). IoT technologies are enabling real-time connections, making banking more efficient and customer-centric.

Data Actionability: Cost Governance with Unravel's New FinOps AI Agent

80% of data management professionals surveyed cited difficulty accurately forecasting data-related cloud costs (Forrester). Why? They lack granular visibility to allocate costs, the information they need is in silos, and they don’t have AI or automation to forecast spending. With this in mind, Unravel introduces the new FinOps AI Agent. Learn how this new AI agent enables teams to go beyond observing overall spend to taking immediate action with purpose-built AI and automation.

Top 10 Software Testing Tools To Build Quality Software in 2024

Testing tools in AI and data automation have evolved to offer sophisticated features that ensure the quality of the end product and reduce its time to market. With reports suggesting 50% of manual testing being replaced by automated, these tools can help with various aspects of software testing, including unit testing, performance testing, and security testing. They can be integrated practically anywhere across the CI/CD pipeline for continuous testing and shift left testing.

How Generative AI is Transforming Product Engineering?

‍McKinsey’s latest research projects that generative AI could contribute between $2.6 trillion and $4.4 trillion annually across various sectors. Experts have also observed that integrating AI-driven automation, threat detection, and low-code platforms redefines next-gen software development. Whether it is code generation, bug fixing, or even designing a new digital component, generative AI is seeping into all product engineering processes.

Ensuring an Ethical Ecosystem in Open Source Testing

Ever wondered what it's like to have a virtual robot in your toolkit, a trojan horse in your test scripts, or a lil' rockstar named Selenium? Welcome to the world of test automation, as unfolded by none other than Jason Huggins. In this part 2 episode of our interview with Jason, we continue to dive into the world of testing. You’ll learn how Java and Python enthusiasts have propelled Selenium to global fame with impressive stats and precision, and Jason also sheds light on the power of community. Tune in to hear how collaboration turned dreams into reality through his experiences with Selenium and Sauce Labs.