User engagement means how much a person uses an app and stays interested in it. It's super important for developers to give users good reasons to keep using their app. In mobile marketing, a big goal is to get more people engaged with apps. This can be done in different ways like sending them emails that they're interested in, making content that's just for them, and trying out new marketing ideas.
The sheer breadth of data that telecommunications providers collect day-to-day is a huge advantage for the industry. Yet, many providers have been slower to adapt to a data-driven, hyperconnected world even as their services — including streaming, mobile payments and applications such as video conferencing — have driven innovation in nearly every other industry. The speed with which generative AI will change how we work, live, communicate and entertain ourselves is nearly unfathomable.
Generative AI is a powerful tool for rapidly creating and iterating on content of all kinds.
A new BigQuery view that leverages the recent FOCUS specification to help simplify cloud cost management across clouds.
If 2023 was the year we woke up to how generative AI would change our world, 2024 is the year we realize the change. The real-time AI-driven enterprise may not be pixel-perfect yet, but we’re well on the way. Gen AI has a knock-on effect on all the trends and challenges we will see in 2024. Here’s our take.
SonarQube is an open-source platform that allows you to continuously inspect and measure code quality as you develop your project. It provides static code analysis for code issues, security issues, and code smells in various programming languages, including Swift. This helps development teams maintain and improve code quality by identifying and finding issues in the development lifecycle, if paired with a good testing methodology it can make a difference in your app quality.
Artificial intelligence is changing the world. With use cases ranging from content generation to deep data analysis to detecting health issues, AI can greatly improve lives and enhance business outcomes. And with the explosion of generative AI services and large language models, we can expect AI to become even more ubiquitous than it already is. But AI isn’t perfect. In particular, AI privacy issues put organizations at risk or prevent adoption in the first place.
Engineering Managers, Team Leads and Product Managers can now identify and address collaboration inefficiencies before they escalate. Using metrics such as pull request cycle time and merge frequency, you can pinpoint bottlenecks more quickly, quantifying Git collaboration and enhancing overall productivity.
