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AI Skilling

PCQuest

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October 2019

The new age EduTech startups teach the emerging tech concepts in sequence, so that participants can learn and apply the concepts well. Navdeep Sandhu, Instructor & Content Developer, Coding Ninjas, tells more about it

- Dr Archana Verma

AI Skilling

The importance of skilling for beginners in Artificial Intelligence, failing to which might create crisis and bring a period of slump in the Tech industry

Artificial Intelligence is the most sought after skill now-a-days and if we look at the products which have been developed in the recent years, we will be able to comprehend how the introduction of AI has impacted us. Nowadays, developers don’t just create applications, but rather create “Intelligent Products”. For example, there have been a lot of “Q&A” Forums wherein users can share and discuss various topics. With the application of Artificial Intelligence, these discussion forums are now able to recommend questions to the users based on the past activities.

Reading pattern, likes/ dislikes are analysed and users are provided with individual recommendations which provides a personal touch to all the users. Going by the current trends, we can see both the big tech giants and the startups adopting Machine Learning and Artificial Intelligence in their products and processes to guarantee a much better User Experience. Thus, it becomes necessary for developers to skill themselves with the knowledge and skills to develop “Intelligent” applications.

Different career opportunities where coding skills can help students grow

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When Software Drives the Machine Need for Enterprise-Grade Software

Cars used to fail because of broken parts.Now they fail because of broken code. As vehicles become rolling computers, enterprise-grade software, ruthless testing, and fail-safe architecture decide one thing: whether a car keeps moving safely at 100 km/h

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AI on the ground Practical use cases of AI in large enterprise operations

AI isn't a side project anymore, it's the quiet operator inside global giants. It reads invoices, senses machine fatigue, tailors every customer moment, flags risk in real time, and feeds leaders sharper instincts. Scale just got smarter

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From AI experiments in 2025 to enterprise scale in 2026: Why data foundations will decide the winners

Everyone's betting big on Al, but most are burning cash instead of building value. The hidden culprit? Dirty data, clunky processes, and missing context. What if fixing your foundation, not your algorithms, was the real AI game-changer?

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How automation at the periphery is accelerating digital transformation

Digital transformation is not tearing down the core anymore. It is happening at the edges. With AI and automation layered onto existing systems, companies are cutting costs, boosting productivity by up to 40%, and scaling smarter without risking operational chaos

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When AI moves from chips to racks

AI performance is no longer just about faster chips. It is about how racks, power, networking, and orchestration work together. As agentic AI grows, infrastructure must become predictable, open, and built for scale from day one

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Designing enterprise AI systems that stay fair

In 2026, bias is no longer treated as a communications issue or a public relations headache.

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HALO smart sensor

What if bathrooms, locker rooms, and isolated spaces could become safer without adding cameras?

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Building enterprise AI that doesn't discriminate

Bias in enterprise AI is not a side issue. It starts in data pipelines, training systems, product design, and engineering workflows. As AI scales, fairness, transparency, and accessibility are becoming core software requirements

time to read

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Bias travels faster than code

Bias in enterprise AI is not a surface issue. It enters through data, features, model training, APIs, and UI logic, then spreads across the stack. The technical response is shifting from audits to architecture, observability, and deployment controls

time to read

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How hospitals can use AI without risking patient data

With the fast pace of adoption of Artificial Intelligence (AI) and digital health systems in Indian hospitals, issues related to the security of patient data are also increasing at an equal rate.

time to read

2 mins

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