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Insights from your JIRA data to help improve your team

Xebia

Many teams are using Atlassian’s JIRA as an issue tracker, which then becomes a valuable source of information for their daily operations. As a team leader utilizing JIRA, you probably have employed JIRA dashboards to monitor the status of work, usually in context of a (release) planning. “won’t fix”).

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Best Mobile App Development Frameworks in 2023: Benefits & Comparison

KitelyTech

Choosing the right framework for your mobile app development project is essential. There are several popular frameworks available on the market today, but with new technologies being developed every day, it can be difficult to know which one is best for you. since this decision impacts how successful your application is after launch.

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Vetted lands $15M for AI that helps shoppers find top products and deals

TechCrunch

Vetted , the startup formerly known as Lustre, today announced that it secured $15 million to fund development of its AI-powered platform for product reviews. There’s plenty of product comparison tools out there, like PayPal-owned Honey and Paribus (now Capital One Shopping). Image Credits: Vetted.

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The Good and the Bad of Flutter App Development

Altexsoft

We understand the hesitation and excitement of the new, transformative technology for developers, so here’s our overview of the best and the worst of Flutter – and what you can do with it. Flutter follows the reactive development architecture , but with a twist. Pros of Flutter development. Reactive frameworks vs Flutter.

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The Good and the Bad of the Elasticsearch Search and Analytics Engine

Altexsoft

To help her, Banon developed a search engine for her recipe collection. From those home-made beginnings as Compass, Elasticsearch has matured into one of the leading enterprise search engines, standing among the top 10 most popular database management systems globally according to the Stack Overflow 2023 Developer Survey.

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The Good and the Bad of Apache Spark Big Data Processing

Altexsoft

Spark Streaming enhances the core engine of Apache Spark by providing near-real-time processing capabilities, which are essential for developing streaming analytics applications. Companies employ Spark for customer churn prediction , fraud detection , and recommender systems. Here are some of the possible use cases. Data analysis.

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Weighing the risks of moving too fast with gen AI

CIO

And there are dangers of moving too fast,” including bad PR, compliance or cybersecurity risks, legal liability, or even class-action lawsuits. Before AI, the review was manual, and humans were manually comparing hard copies of purchase orders with entries in our system,” he says. They can say, ‘This doesn’t sound right.