Facebook Pixel How RPA is poised to influence the pharma industry | PCQuest - technology - Lisez cet article sur Magzter.com
Passez à l'illimité avec Magzter GOLD

Passez à l'illimité avec Magzter GOLD

Obtenez un accès illimité à plus de 9 000 magazines, journaux et articles Premium pour seulement

$149.99
 
$74.99/Année

Essayer OR - Gratuit

How RPA is poised to influence the pharma industry

PCQuest

|

February 2023

RPA is an innovative technology that automates mundane and repetitive tasks associated with pharma processes. By removing manual labor from the equation, RPA allows for faster production and more efficient operations within the sector

- Dr. Radhika Mahadev

How RPA is poised to influence the pharma industry

Many of the processes and tasks across industries take up a huge bandwidth of manpower and time – the direct consequence of which is reduced and slower productivity and smaller profit margin. This is where automation of processes can come in handy. The usage of Robotic Process Automation (RPA) has seen a great rise in the past few years, with many industries actively seeking and implementing effective pre-programmed software bots to handle processes that are repetitive, time-consuming, and more prone to errors.

Speaking of the pharmaceutical industry in particular, some of the primary bottlenecks it faces are the high costs of drug testing, regulatory expenditure, supply of new drugs into the market, and a lot more. Add the aforementioned people-intensive tasks to this, the expenses only rise even further. This is why RPA has already made inroads into the industry, especially in light of the COVID-19 pandemic. Now, the pharmacy automation market projected to reach $8.2 billion by 2027, according to MarketsandMarkets. With this in mind, let’s take a look at the different avenues RPA will impact the pharma industry:

DR. RADHIKA MAHADEV, Head of Robotic Process Automation, Shared Business Service, Merck Life Science

Clinical Trials 

PLUS D'HISTOIRES DE PCQuest

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

time to read

2 mins

March 2026

PCQuest

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

time to read

3 mins

March 2026

PCQuest

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?

time to read

4 mins

March 2026

PCQuest

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

time to read

2 mins

March 2026

PCQuest

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

time to read

4 mins

March 2026

PCQuest

PCQuest

Designing enterprise AI systems that stay fair

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

time to read

6 mins

March 2026

PCQuest

PCQuest

HALO smart sensor

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

time to read

2 mins

March 2026

PCQuest

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

time to read

4 mins

March 2026

PCQuest

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

time to read

6 mins

March 2026

PCQuest

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.

time to read

2 mins

March 2026

Translate

Share

-
+

Change font size