मैगज़्टर गोल्ड के साथ असीमित हो जाओ
10,000 से अधिक पत्रिकाओं, समाचार पत्रों और प्रीमियम कहानियों तक असीमित पहुंच प्राप्त करें सिर्फ
कोशिश गोल्ड - मुक्त
INDUSTRIAL ROBOTS: DON'T OVERLOOK THE RISKS
PCQuest
|February 2020
Thomas Fuhrmann, MD, TÜVRheinland India speaks on the growth prospects for industrial robots in India, talent gap in the sector, and how it helps companies address the potential risks and hazards to ensure the overall safety of robotic products
Interesting times ahead for the industrial robotics market, as Artificial Intelligence has made it easier to train robots now and thereby, making them more accessible to a wider array of industries besides traditional manufacturing. Today the collaborative robots which are designed to work alongside humans have made the adoption of robots easier for industries which are not traditionally associated with the use of robots, such as construction, retail, logistics, healthcare, etc.
What kind of business transformation and market growth opportunities for industrial robotics do you see here in India vis-a-vis globally?
Globally, the Industrial Robotics sector has been on the upswing for the past few years. Industrial robots are improving in terms of capability and performance, and their use is rapidly growing across manufacturing and associated industries where fast, accurate and repetitive work is the norm. In India too, Industrial Automation is on the rise, marking a significant increase in the adoption of human-machine collaborative tools primarily in the automotive and electronics sectors.
The demand for industrial robots has been witnessing a huge upsurge over the past decade due to the rising adoption of smart factory systems. Global manufacturers, who would like to set up their smart factory production facilities in India and be a part of the Government’s marquee ‘Make in India’ initiative, will definitely look at deploying industrial robot ecosystems in the country. As per published market research, robotics is a desired necessity for making the Indian industry globally competitive and for attracting the right domestic as well as global companies to invest in the ‘Make in India’ dream.
How has been the adoption among discrete and process manufacturing sectors?
यह कहानी PCQuest के February 2020 संस्करण से ली गई है।
हजारों चुनिंदा प्रीमियम कहानियों और 10,000 से अधिक पत्रिकाओं और समाचार पत्रों तक पहुंचने के लिए मैगज़्टर गोल्ड की सदस्यता लें।
क्या आप पहले से ही ग्राहक हैं? साइन इन करें
PCQuest से और कहानियाँ
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