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Outsourced Software Product Development: A Comprehensive Guide

Arkenea

In a fastmoving digital economy, many organizations leverage outsourced software product development to accelerate innovation, control costs, and tap into global expertise. Rather than building and maintaining a large inhouse team, businesses partner with specialized vendors to handle design, development, testing, and deployment.

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From iPhone to AI: How lessons from the mobile boom can help navigate the new era of software development

Modus Create

From iPhone to AI By Patrick Sheridan Posted in Digital Transformation , Product Published on: January 9, 2025 Last update: January 9, 2025 How lessons from the mobile boom can help navigate the new era of software development Were going to make some history together today.

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The ROI of AI-assisted product development: What every business leader needs to know

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The ROI of AI-assisted product development What every business leader needs to know By Wesley Fuchter Posted in Product Development Published on: July 8, 2025 Last update: July 10, 2025 AI-assisted product development is now a practical part of modern developer workflows, not just a future idea.

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8 AI trends that will define product development in 2025 & beyond

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8 AI trends that will define product development By Greg Sterndale Posted in Digital Transformation , Product Published on: February 12, 2025 Last update: February 10, 2025 From modular architecture to agentic AI How product development will evolve in 2025 & beyond In product development, change is the only constant.

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How AI and ML Can Accelerate and Optimize Software Development and Testing

Speaker: Eran Kinsbruner, Best-Selling Author, TechBeacon Top 30 Test Automation Leader & the Chief Evangelist and Senior Director at Perforce Software

Though DevOps is a relatively new role, it’s one that allows visibility across the whole operation, making it important to senior tech positions. It's no secret that CTOs need to have a full understanding if they want to be successful, but does that make them responsible for developer productivity?

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Strategies to mitigate AI security and compliance risks

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However, the rapid integration of AI usually overlooks critical security and compliance considerations, increasing the risk of financial losses and reputational damage due to unexpected AI behavior, security breaches, and regulatory violations. Failure to comply can result in significant penalties.

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Are you ready to transform life sciences with intelligent apps? Five questions to help kickstart your AI journey

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McKinsey has estimated that AI technology could generate $60 billion to $110 billion per year in economic value for the pharma and medical-product subsectors alone. With the average cost of developing a new drug at approximately $2.3 billion , streamlining and automating clinical development processes are perfect use cases for AI.