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Generative AI use cases for the enterprise

IBM Services

Automate tedious, repetitive tasks. Experienced developers are leaning on generative AI to advance complex coding tasks more efficiently. Project management and operations : Generative AI tools can support project managers with automation within their platforms. Best practices are evolving rapidly.

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Why do energy players need to leverage current LNG market trends?

Infosys Consulting

It’s predicted that by 2040, LNG will meet 75% of Asia’s increasing gas demand. 4. Digital innovation Intelligent automation and other digital innovations are providing the LNG market with an exciting platform from which to improve and grow. It’s an opportunity that energy firms must harness now to be ahead of the curve.

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8 Key Mobile Application Testing Challenges and Their Solutions

Amzur

As soon as your app is live on the Play or App stores, customers will begin to judge its performance and operational efficiency. billion by 2040. There are many automated and cloud-based mobile application testing tools available for testers. Explore the top automation testing tools that can make your app testing easy.

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The different types of renewable energy 

IBM Services

Solar power Solar energy has evolved to be efficient, versatile and resilient. The next generation of nuclear power plants and generators are smaller, more versatile and energy efficient. With minimal new investment being made, nuclear power generation may be reduced by two-thirds by the year 2040.