Systems | Development | Analytics | API | Testing

How ChatGPT Could Be a Data Security Problem

There’s no doubt in just a short period of time, ChatGPT and other large language models (LLMs) have become so immensely popular, they are now used by millions of people daily. ChatGPT’s ability to provide human-like responses and generate content has shown to be valuable to businesses and people across customer service, education, healthcare, and other industries. However, to get access to OpenAI’s powerful AI-tool, what do these businesses and people give up?

What is Visual Testing?

Companies today deploy new releases constantly, some even daily. This constant deployment means regular updates are occurring or existing lines of code are being altered, which can cause problems. The slightest change of code can break the functionality of an existing code structure causing the user experience to suffer. Maintaining a visually perfect UI is important for retaining customers.

Infuse AI into Your Processes with AI Skills

Artificial intelligence (AI) has captured the collective imagination. Most news stories focus on the impact AI will have on the future and the productivity growth we might see. Yet, the rank-and-file at most companies know the challenges of truly integrating AI into their workstreams. Organizations need results now. Solving real business challenges requires combining the power of AI with human workers in a seamless workflow.

How to Use ChatGPT in Your Automated Tests

OpenAI's ChatGPT has become the fastest-growing app of all time – and if you've tried it, that probably doesn't come as a surprise! ChatGPT has become popular for everything from creative tasks like writing a poem to technical tasks like writing code. Meanwhile, the business world is quickly discovering its ability to summarize complex data sets or perform complicated analyses. But, of course, these use cases are just scratching the surface of what may be possible long term.

What's new from Google I/O 2023 for developers: Key announcements

This years I/O can be easily summed up by just one phrase: “AI”. AI absolutely everywhere. Sundar Pichai started, mentioned numerous times and ended the Keynote by mentioning AI. Some of the main announcements around AI for developers included the general availablity of “Bard” supporting 20 programming languages and use of the “PaLM 2” based models with some like “Gecko” small enough to run on mobile devices.

4 ways GPT will change the data and analytics industry

The GPT euphoria got doused with some reality recently as Samsung employees realized they were sending false information to customers and Italy outright banned ChatGPT. The hype and concerns further accelerated last week with the godfather of AI, Hinton, resigning from Google, President Biden summoning AI leaders to Washington, and several stocks nose-diving on the threats generative AI poses to their business models.

How to increase active users (MAU and DAU)

According to UBS, ChatGPT was the fastest growing consumer application in history. In just two months it went from launch to 100 million monthly active users. That led to a cultural and technological impact that saw Microsoft invest billions in the product’s parent company. But even if your product doesn’t break records, knowing the number of active users can help you understand its product/market fit, the impact of the changes you make, and how well the product retains user loyalty.

Applying AI in Software Development: Best Practices and Examples

There’s no doubt that artificial intelligence has transformed the business world and that more changes are yet to come. In December 2022, the US government issued a report showing that nearly all industries have adopted AI in some fashion to improve their workflows.

A Day in the Life of an SDET: How to Use Automation to Improve Your Workflow

Software testers, or SDETs, have several responsibilities in today's QA-driven software industry. In addition to collaborating with developers to plan and execute tests, they are often responsible for setting up and maintaining continuous integration (CI) processes, analyzing test results, and generating reports for stakeholders. In this article, you'll learn about the evolution of the SDET role and how automation and artificial intelligence (AI) can help improve efficiency.