Facebook Pixel Preparing Engineers for the Modern Workplace | DataQuest - business - इस कहानी को Magzter.com पर पढ़ें
मैगज़्टर गोल्ड के साथ असीमित हो जाओ

मैगज़्टर गोल्ड के साथ असीमित हो जाओ

10,000 से अधिक पत्रिकाओं, समाचार पत्रों और प्रीमियम कहानियों तक असीमित पहुंच प्राप्त करें सिर्फ

$149.99
 
$74.99/वर्ष

कोशिश गोल्ड - मुक्त

Preparing Engineers for the Modern Workplace

DataQuest

|

september 2024

In recent years, the landscape of engineering education has undergone a significant transformation. However, the rapid pace of technological advancements and shifting industry demands have exposed critical gaps in the skills and knowledge of recent engineering graduates. As these young professionals step into the workforce, they are often confronted with challenges that their academic training has not adequately prepared them for. To address these issues, industry experts and educators are calling for a comprehensive overhaul of engineering curricula, emphasizing the importance of real-world problem-solving, projectbased learning, and the integration of emerging technologies.

- Aanchal Ghatak

Preparing Engineers for the Modern Workplace

THE CRITICAL SKILLS GAP

“Engineering graduates often lack the soft skills such as communication, teamwork, and problem-solving abilities,” notes Dr. Gaurav Sethi, Professor and Additional Dean at the School of Electronics and Electrical Engineering.

This observation is echoed by Dr. L. Koteswararao, Principal at KLH Bachupally Campus, who highlights the “significant knowledge and ability gaps” in areas such as project management, communication, and practical problem-solving. Despite their technical expertise, many graduates struggle to translate academic knowledge into real-world applications, often due to limited hands-on experience and a lack of exposure to industry practices and standards.

Aishwarya Rai, an EdTech expert and Product Manager from India, adds that graduates are often great at passing exams but struggle when it comes to applying knowledge in real-world situations. “They need to learn how to think independently, make decisions with incomplete information, and adapt quickly to unexpected challenges,” she asserts. This skill gap is further exacerbated by a lack of experience with industrial tools and software, which are critical in today’s technology-driven job market.

INTEGRATING REAL-WORLD PROBLEM-SOLVING

One of the most effective ways to address these gaps is through the integration of real-world problem-solving and project-based learning into engineering programs. “By incorporating industry partnerships, internships, and capstone projects, engineering programs can enhance real-world problem-solving,” says Dr. Sethi. He cites the example of Lovely Professional University (LPU), which collaborates with numerous IT companies, providing students with hands-on experience through various projects. This approach not only exposes students to practical challenges but also prepares them to tackle the complexities of the modern workplace.

DataQuest

यह कहानी DataQuest के september 2024 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?

DataQuest से और कहानियाँ

DataQuest

DataQuest

Horse-Whisperers Win. Cat-Herders Lose.

And Dog-Walkers Stay. It's the post-AI world in coding and software engineering. More about humans.

time to read

4 mins

April 2026

DataQuest

DataQuest

The marketing team of tomorrow is being built today

AI tools are already inside marketing teams. The real advantage lies in building strategy, workflows, and measurement that turn speed into measurable revenue growth.

time to read

2 mins

April 2026

DataQuest

DataQuest

Inside the Autonomous Enterprise

For years, enterprise AI lived at the edge of work, surfacing insights, suggesting actions, and helping people move faster.

time to read

2 mins

April 2026

DataQuest

DataQuest

AI without subtitles. For how long now?

Explainability is not just about wiping away the mystery of that stubborn and evasive AI Black Box. It is also about interpretability, trust, safety and responsibility. Has the industry cracked this mystery? Will it?

time to read

12 mins

April 2026

DataQuest

DataQuest

Are You Ready for Sovereign AI?

Governments could function as orchestrator, investor, regulator & anchor customer to drive strategy.

time to read

6 mins

April 2026

DataQuest

DataQuest

Forget the Genie, Read The AI Bottle's Label

Who owns the data, where is that data coming from, how will it be used, is it all sovereign, what about input-indemnity, what about multiplier-pricing, what about new SLAs and pricing models – so many questions, so many what-ifs, so many words to squint at when you look closely at the shiny AI packaging!

time to read

6 mins

April 2026

DataQuest

DataQuest

AI- stuck in the petri-dish paradox

Legacy complexity is a big reason for the AI pilot quicksand. Most pilots stall, not because the model is weak, but because the surrounding environment is not ready to operationalise it. Let's get a closer look at this AI dead-end.

time to read

6 mins

April 2026

DataQuest

DataQuest

The Doorman may open the gates for AI, but he never leaves

With over 23 years of experience in this uniquely-human industry, Nikhil Dev, General Manager, IT, The Lalit Suri Hospitality Group has the room with the perfect view of humans intermingling with technology.

time to read

5 mins

April 2026

DataQuest

DataQuest

The autonomous enterprise: When AI moves from support to execution

AI is no longer just helping people work. In more and more enterprises, it is beginning to execute tasks, trigger workflows, and act inside live systems. But before businesses hand AI real authority, they must solve for trust, control, and accountability.

time to read

8 mins

April 2026

DataQuest

DataQuest

Cognizant CAIO Babak Hodjat explains how Agentic AI will transform enterprises

Cognizant CAIO Babak Hodjat discusses agentic AI, sovereign compute, multilingual models, and Green AI, outlining how India can translate its AI ambitions into scalable enterprise impact and ecosystem growth.

time to read

7 mins

March 2026

Listen

Translate

Share

-
+

Change font size