Brought to you by the marketing & communications team at TechnoScore. In this section, we bring expert takes on AI, automation, and emerging enterprise technology, focusing on how digital engineering is redefining intelligence and efficiency. Catch up on insights, news, and opinions to stay informed and ready for what's next. 
Every extra second a website takes to load costs businesses customers, credibility, and revenue. Research shows users form an opinion about a site within seconds, and if they face slow pages, broken navigation, or a poor mobile experience, they won’t hesitate to move on. For modern businesses, that doesn’t just mean lost traffic; it means lost opportunities, weaker lead pipelines, and wasted marketing spend.
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According to Accenture’s Tech Debt Report, IT leaders had significantly increased their spending on technical debt remediation from 2020 to 2023. Between 2020 and 2022, nearly 17% of their total budget was allocated to addressing technical debt, a figure that surpassed 24% in 2023.
In 2018, Flutter entered the app development market with one bold promise: code once, run anywhere. While it was revolutionary, the vision was met with skepticism. However, just six years later, Flutter has not only silenced its critics but has fundamentally transformed the development landscape. It now leads the cross-platform framework market with an impressive Net Promoter Score of 73 and is recommended by a staggering 95% of early adopters who would choose it again for their projects.
Misplaced data in a multi-cloud or hybrid IT setup can significantly increase your cloud costs, whether due to increased data egress fees, over-provisioned resources, or other latency-induced issues. Keeping track of this data can become challenging, especially since the total data volume generated and consumed globally has exceeded 149 zettabytes as of 2024.
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The Android segment in the application development market has been remarkably dynamic. With emerging technologies, evolving Play Store guidelines, and constantly changing user preferences, it has grown into a vast ecosystem, projected to reach a market size of approximately USD 320 billion by 2032!
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We’ve moved beyond using AI as a tool. Today, most organizations aren’t just adopting AI—they’re delegating real work to it, shifting from proof-of-concept experiments to real-world production deployments.
Gone are the days of proprietary software and technologies. As AI becomes more democratized, open-source models are gaining momentum. You must have heard of DeepSeek—a Chinese AGI (artificial general intelligence) startup that has made it to the headlines in the last few weeks. It’s everywhere, from social media to developer community forums.
Debugging is the backbone of software development. As modern applications become increasingly complex—often leveraging cloud platforms, microservices, and real-time data streams—ensuring that your code functions as intended is more challenging than ever. Effective debugging not only resolves errors but also enhances performance, user experience, and application scalability.
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Agility has always been the heartbeat of successful software development, but what happens when you infuse it with the cognitive power of Artificial Intelligence? You get a paradigm shift—AI for Agile project management—a fusion that’s not just changing the game but rewriting its rules. This powerful combination enables teams to move beyond reactive workflows into predictive insights, intelligent automation, and seamless collaboration.
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Technical debt refers to the future costs incurred when software development teams take shortcuts to expedite delivery, often resulting in suboptimal code or architecture. While these shortcuts can lead to immediate gains, they frequently cause increased maintenance costs, reduced productivity, and hindered scalability over time.