Try : Insurtech, Application Development

AgriTech(1)

Augmented Reality(20)

Clean Tech(9)

Customer Journey(17)

Design(45)

Solar Industry(8)

User Experience(68)

Edtech(10)

Events(34)

HR Tech(3)

Interviews(10)

Life@mantra(11)

Logistics(5)

Manufacturing(1)

Strategy(18)

Testing(9)

Android(48)

Backend(32)

Dev Ops(11)

Enterprise Solution(31)

Technology Modernization(8)

Frontend(29)

iOS(43)

Javascript(15)

AI in Insurance(38)

Insurtech(66)

Product Innovation(58)

Solutions(22)

E-health(12)

HealthTech(24)

mHealth(5)

Telehealth Care(4)

Telemedicine(5)

Artificial Intelligence(149)

Bitcoin(8)

Blockchain(19)

Cognitive Computing(7)

Computer Vision(8)

Data Science(23)

FinTech(51)

Banking(7)

Intelligent Automation(27)

Machine Learning(47)

Natural Language Processing(14)

expand Menu Filters

How can AI help in Remote Recruiting during COVID-19

4 minutes, 42 seconds read

The outbreak of Coronavirus has set off a chain reaction across industries taking the world economy into probably what can be called the worst recession so far. Various sectors like travel, hospitality, BFSI, supply chain, and logistics are getting hit due to social distancing and lockdowns. The effect of 2008 depression can be felt again and possibly more this time. This will have an adverse effect on employment as organizations will now re-evaluate their current business position. The initial wave of unemployment has already hit due to a lack of demand and limited cash flow in the economy. 

Due to the lockdown in India, the number of unemployed people increased from 32 million to 38 million in March, said a report released by Centre for Monitoring Indian Economy (CMIE). The unemployment rate crossed 23%. Many small and medium businesses have already started layoffs and furloughs. Organizations have become more cognizant of the money spent on human resources and deploying methods to simplify hiring through remote recruiting. Even though there’s less demand for workforce, this situation will prove to be an opportunity for jobs in some sectors.

Jobs in demand during this pandemic

The current crisis is difficult for businesses as they have to reassess crucial positions and develop new roles and responsibilities for its workforce. Organizations will look for multiple skills and capabilities within their workforce. In the post-pandemic world, once the crisis is under control, there will be an upsurge in the employment opportunities for people. The COVID-19 crisis will end one day but it has taught the world an important lesson about being prepared for any possible future pandemics. 

Professions like virologists and epidemiologists which were neglected earlier will now be more in demand. Much is said about supply chains being disrupted but the essential products and services still need to reach the end consumer. Organizations still have money and inventory which needs to be delivered. Those working in the supply chain system will still be in high demand. The education sector has gone under a transformation due to social distancing. The rise of online education has led to a rise in teaching jobs. 

Now that organizations have seen that ‘Work from Home’ actually works, there’ll be an increase in freelance job opportunities leading to a growth in the ‘gig economy’, which, in-turn will focus on efficient remote recruiting.  

[Also read: Enterprises investing in Workplace Mobility Can Survive Pandemics]

Applications of AI in Recruitment

In the current situation, there is a need for people with multiple skill-sets for critical positions. Temporarily, the job scene might not look good but it will soon pick up the pace and when it does, recruiters will have a lot of work cut out for them to hire the right people. In both scenarios, AI will play an important role. Here are some applications of AI in remote recruitment- 

Candidate screening

One of the most tedious and challenging tasks in remote recruiting is to screen candidate profiles for the relevant positions. AI-powered tools can investigate millions of profiles saving time and helping them to focus on other important tasks like building relations. 

Skill-set matching 

Every position needs a certain set of skills, talent, personality, and qualifications. AI can use data and match the job description with the applicant’s work experience, skill-sets, personality etc. This helps in improving the selection criteria of the potential candidates.

Recommendation for positions

Some AI-powered tools screen the pool of candidates and grade them in the ranks which are best suitable for the mentioned positions. This gives a much clearer picture to the recruiters enabling them in better decision making.

Identifying potential skills within the organization 

In many organizations, there are internal job postings which employees can apply for. Now, during the on-going crisis, companies need employees who can take up additional responsibilities. AI here can screen the profiles within the organization and identify the potential candidates for the required positions.

[Details: AI in Recruitment & Discovering Talent]

Post-pandemic world: Role of AI in Remote Recruiting

Post this pandemic, once the economic graph picks up, the market will see a rise in employment opportunities as well. This will increase the pool of candidates applying for jobs. There will be huge pressure on recruiters to screen thousands of profiles and source the right candidates for required positions. AI here can help in automating time-consuming workflows. With automation, organizations can cut down on costs and save a lot of time for their recruiters. 

AI-powered tools bring speed and accuracy in recruitment which helps improve the quality of hiring. Even after the pandemic, the world doesn’t seem likely to go back to normal. Many organizations will continue to have their employees work from home. In the recent news, TCS announced that around 75% of its workforce is likely to work from home by 2025. The entire recruitment process will will have to adapt to remote working. 

Conclusion

AI has been around for quite some years and is strengthening its position in across industries. Organizations have understood the importance of AI in increasing operational efficiency. The success of AI-powered tools has shown that it would be a necessity for a recruiter soon. Yet, they hesitate to invest in AI for recruitment. Sure there might be budgetary concerns right now due to the slowdown but sooner or later organizations will have to integrate AI into their recruitment process. An organization’s strength lies in the quality of its workforce. Sure AI cannot replace the intelligence brought in by recruiters but in the coming years, quality hiring will depend on how well the recruiters automate their workflows which would be possible with the help of AI.

Cancel

Knowledge thats worth delivered in your inbox

Smart Machines & Smarter Humans: AI in the Manufacturing Industry

We have all witnessed Industrial Revolutions reshape manufacturing, not just once, but multiple times throughout history. Yet perhaps “revolution” isn’t quite the right word. These were transitions, careful orchestrations of human adaptation, and technological advancement. From hand production to machine tools, from steam power to assembly lines, each transition proved something remarkable: as machines evolved, human capabilities expanded rather than diminished.

Take the First Industrial Revolution, where the shift from manual production to machinery didn’t replace craftsmen, it transformed them into skilled machine operators. The steam engine didn’t eliminate jobs; it created entirely new categories of work. When chemical manufacturing processes emerged, they didn’t displace workers; they birthed manufacturing job roles. With each advancement, the workforce didn’t shrink—it evolved, adapted, and ultimately thrived.

Today, we’re witnessing another manufacturing transformation on factory floors worldwide. But unlike the mechanical transformations of the past, this one is digital, driven by artificial intelligence(AI) working alongside human expertise. Just as our predecessors didn’t simply survive the mechanical revolution but mastered it, today’s workforce isn’t being replaced by AI in manufacturing,  they’re becoming AI conductors, orchestrating a symphony of smart machines, industrial IoT (IIoT), and intelligent automation that amplify human productivity in ways the steam engine’s inventors could never have imagined.

Let’s explore how this new breed of human-AI collaboration is reshaping manufacturing, making work not just smarter, but fundamentally more human. 

Tools and Techniques Enhancing Workforce Productivity

1. Augmented Reality: Bringing Instructions to Life

AI-powered augmented reality (AR) is revolutionizing assembly lines, equipment, and maintenance on factory floors. Imagine a technician troubleshooting complex machinery while wearing AR glasses that overlay real-time instructions. Microsoft HoloLens merges physical environments with AI-driven digital overlays, providing immersive step-by-step guidance. Meanwhile, PTC Vuforia’s AR solutions offer comprehensive real-time guidance and expert support by visualizing machine components and manufacturing processes. Ford’s AI-driven AR applications of HoloLens have cut design errors and improved assembly efficiency, making smart manufacturing more precise and faster.

2. Vision-Based Quality Control: Flawless Production Lines

Identifying minute defects on fast-moving production lines is nearly impossible for the human eye, but AI-driven computer vision systems are revolutionizing quality control in manufacturing. Landing AI customizes AI defect detection models to identify irregularities unique to a factory’s production environment, while Cognex’s high-speed image recognition solutions achieve up to 99.9% defect detection accuracy. With these AI-powered quality control tools, manufacturers have reduced inspection time by 70%, improving the overall product quality without halting production lines.

3. Digital Twins: Simulating the Factory in Real Time

Digital twins—virtual replicas of physical assets are transforming real-time monitoring and operational efficiency. Siemens MindSphere provides a cloud-based AI platform that connects factory equipment for real-time data analytics and actionable insights. GE Digital’s Predix enables predictive maintenance by simulating different scenarios to identify potential failures before they happen. By leveraging AI-driven digital twins, industries have reported a 20% reduction in downtime, with the global digital twin market projected to grow at a CAGR of 61.3% by 2028

4. Human-Machine Interfaces: Intuitive Control Panels

Traditional control panels are being replaced by intuitive AI-powered human-machine interfaces (HMIs) which simplify machine operations and predictive maintenance. Rockwell Automation’s FactoryTalk uses AI analytics to provide real-time performance analytics, allowing operators to anticipate machine malfunctions and optimize operations. Schneider Electric’s EcoStruxure incorporates predictive analytics to simplify maintenance schedules and improve decision-making.

5. Generative AI: Crafting Smarter Factory Layouts

Generative AI is transforming factory layout planning by turning it into a data-driven process. Autodesk Fusion 360 Generative Design evaluates thousands of layout configurations to determine the best possible arrangement based on production constraints. This allows manufacturers to visualize and select the most efficient setup, which has led to a 40% improvement in space utilization and a 25% reduction in material waste. By simulating layouts, manufacturers can boost productivity, efficiency and worker safety.

6. Wearable AI Devices: Hands-Free Assistance

Wearable AI devices are becoming essential tools for enhancing worker safety and efficiency on the factory floor. DAQRI smart helmets provide workers with real-time information and alerts, while RealWear HMT-1 offers voice-controlled access to data and maintenance instructions. These AI-integrated wearable devices are transforming the way workers interact with machinery, boosting productivity by 20% and reducing machine downtime by 25%.

7. Conversational AI: Simplifying Operations with Voice Commands

Conversational AI is simplifying factory operations with natural language processing (NLP), allowing workers to request updates, check machine status, and adjust schedules using voice commands. IBM Watson Assistant and AWS AI services make these interactions seamless by providing real-time insights. Factories have seen a reduction in response time for operational queries thanks to these tools, with IBM Watson helping streamline machine monitoring and decision-making processes.

Conclusion: The Future of Manufacturing Is Here

Every industrial revolution has sparked the same fear, machines will take over. But history tells a different story. With every technological leap, humans haven’t been replaced; they’ve adapted, evolved, and found new ways to work smarter. AI is no different. It’s not here to take over; it’s here to assist, making factories faster, safer, and more productive than ever.

From AR-powered guidance to AI-driven quality control, the factory floor is no longer just about machinery, it’s about collaboration between human expertise and intelligent systems. And at Mantra Labs, we’re diving deep into this transformation, helping businesses unlock the true potential of AI in manufacturing.

Want to see how AI-powered Augmented Reality is revolutionizing the manufacturing industry? Stay tuned for our next blog, where we’ll explore how AI in AR is reshaping assembly, troubleshooting, and worker training—one digital overlay at a time.

Cancel

Knowledge thats worth delivered in your inbox

Loading More Posts ...
Go Top
ml floating chatbot