Intentar ORO - Gratis
Achieving Pervasive Digitization: An Overview
PCQuest
|February 2018
There is no doubt that digital transactions are on an upswing in the country.
However, despite the rising popularity of digital transactions, the segment is still grappling with numerous challenges.Some of these key challenges along with possible solutions necessary to achieve a successful and large scale digitization are discussed herewith:
1. Accessibility
For a successful cashless economy, financial inclusion is imperative. The Pradhan Mantri Jan Dhan Yojana is one such successful step which has created 18.15 crore bank accounts in rural/semi-urban areas and 12.7 crore in urban geographies, adding 23.27 crore RuPay debit cards to the cashless ecosystem. Further, UPI and Bharat QR scan & pay instruments have simplified cashless transactions and made it accessible for the rural and marginalized income groups with lower literacy rates.
While these are encouraging initiatives, there still remains a large divide in the cashless instruments and the available infrastructure to use them. For e.g. there are currently over 830 million debit card users in the country with only 2.9 million POS terminals, where these can be swiped. Similarly, while UPI and QR code operated asset light instruments is expected to reach 1.5 million users by March 2018, there are currently only 7 lakh shops or POS terminals where these can be accepted.Matching the rise in digital payments instruments with accessible payment infrastructure is a vital challenge that needs immediate attention.
2. Digital Literacy
With the second largest population of internet users in the world, India is an active digital player when it comes to entertainment, social networking, communication, online shopping etc.
Esta historia es de la edición February 2018 de PCQuest.
Suscríbete a Magzter GOLD para acceder a miles de historias premium seleccionadas y a más de 9000 revistas y periódicos.
¿Ya eres suscriptor? Iniciar sesión
MÁS HISTORIAS DE PCQuest
PCQuest
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
2 mins
March 2026
PCQuest
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
3 mins
March 2026
PCQuest
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?
4 mins
March 2026
PCQuest
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
2 mins
March 2026
PCQuest
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
4 mins
March 2026
PCQuest
Designing enterprise AI systems that stay fair
In 2026, bias is no longer treated as a communications issue or a public relations headache.
6 mins
March 2026
PCQuest
HALO smart sensor
What if bathrooms, locker rooms, and isolated spaces could become safer without adding cameras?
2 mins
March 2026
PCQuest
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
4 mins
March 2026
PCQuest
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
6 mins
March 2026
PCQuest
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.
2 mins
March 2026
Translate
Change font size

