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The CIO guide to keeping operations up during pandemics

8 minutes, 50 seconds read

The COVID-19 crisis has put the top-management to a test of their lifetime. Apart from the disruption in supply chains and international trade, the pandemic has created a deep impact on the internal operations of organizations. Amongst the others in the top management, the role of CIOs has come to the spotlight. Their decisions under this highly pressurized environment will determine the future of an organization and also the economy at large. CIOs from different industries will have to adopt different strategies to mitigate risks of the crisis on the daily operations. However, one common thing is that all industries will have to integrate technology into their systems and rapidly set-up their digital business models.  

Current Concerns of CIOs

Due to extended periods of lockdowns and social distancing, maintaining daily business activities has been challenging. Technology will be the key factor in salvaging the immediate losses and finding solutions to keep the businesses functioning. There are a couple of obstacles that CIOs are facing in this adversity. Financial constraint is one of them. Every organization is re-evaluating its plans. Since the revenue is less due to low demand, all the departments are facing budgetary cuts. 

For a CIO, the biggest challenge is to ensure good IT infrastructure with limited resources in hand. It is indeed a humongous task to provide systems and necessary tools in huge corporations consisting of thousands of employees. 

Furthermore, hackers are taking advantage of this chaos which puts the organizations at risk of sensitive data getting exposed. Data protection and privacy would be the top concern for IT management. 

Once the immediate threats are averted, then comes the main challenge of long term sustainability. To sustain in the long run, CIOs will have a tough time managing transition from manual/semi-manual processes to digital ones. Any kind of change brings along some resistance to it. Getting the workforce on-board to new work-systems and adapting to new behavioral patterns of consumer behavior will be a task. CIOs are worried about Operational Continuity not just for survival but to thrive in the New Normal

[Check out – Embrace the New Normal | Business Continuity Solutions]

CIO’s Focus of Attention

Undoubtedly, we are still at a stage where the effects of the pandemic on businesses are still fresh. CIOs still have to navigate through the operational issues and chalk out emergency plans. Apart from the concerns mentioned in the early paragraph, CIOs are facing many ad hoc requirements from various stakeholders. Now is the time when CIOs need to contemplate different scenarios and take their organizations to a better position which can sustain the after-effects of the pandemic.

Here are some areas where an organization’s CIO can look up to help reduce the damage-

Integrating digital tools to enable better customer support

At the initial stage of the lockdown, there was a spike in customer queries. It was difficult to handle such a huge load of queries at a time. However, going forward CIOs can prepare themselves better by integrating technologies like chatbots, IVR systems, mobile apps into their processes. This will relive some of the bandwidth of customer support teams to handle complex issues.

Personalizing customer relationships

Services with a personal touch have a greater impact on customers. Sales in the B2B segment are also affected due to the lack of face-to-face interaction. In time like these, a CIO needs to equip their salesforce so that they can build relationships with their existing clients. Technologies like video conferencing and tools like CRM and ERP can help understand the workflows and identify the potential needs of the customers. 

[Learn more: Visual AI Platform for Insurer Workflows]

Pivoting towards new business opportunities

The current situation has led to increased demand for certain products and services. Hospitals need medical supplies, people need protection gear, remote working needs some hardware and software tools, etc. This is the time when CIOs can direct some resources towards building tools, manufacturing products, and creating applications that can help the society as well as earn revenue. Instead of radically shifting the business model, some parts can be modified to sustain in the short term. 

Market Research to gather real-time data

The high volatility in the market is making it difficult to study consumer behavior patterns. Projections before the outbreak of the pandemic for the next 1-2 years might not work anymore. CIOs need to enable it’s R&D teams by creating AI-driven technologies which can capture real-time data of the consumer behavior. For industries worst hit such as food, lifestyle, travel, and hospitality; data in hand will be beneficial to work towards creating technologies which will help to adapt into the New Normal.

Strengthen Remote-working capabilities

Earlier, much of the IT workforce used to work remotely but the pandemic brought this concept to other sectors as well. This brings its own set of perks and challenges. The CIO needs to check whether all its employees have the necessary equipment such as internet connectivity, laptops, videoconferencing, software etc. to carry out their work. Many do not have experience working-from-home. According to a study by SCIKEY, around 99.8% of the workforce is not capable of working remotely. CIOs need to create a robust internal communication framework where managers help their subordinates whenever they need it. 

Training needs to be provided to the employees on best work-from-home practices, skill-enhancement and new technologies that are being integrated into the processes. Personalization not just for customers but also for the workforce is critical for better functioning of the organization under remote working models. 

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

Check out the latest interview with Dr. Robin Kiera as he shares tips on how to empower the workforce under these circumstances.

Company-Service Provider relationships

Many organizations outsource certain processes to service providers. This crisis has created a domino effect wherein when one company faces losses subsequently the service providers companies also get affected. CIOs need to show the utmost transparency to their providers about the level of damage. Crisis monitoring dashboards need to be created for every project to identify the gaps and find possible solutions. The CIO can plan out the project workflow with the outsourcing providers to track the progress regularly. CIOs should treat the outsourced workforce as their own to reduce the impact of the on-going crisis. Indeed, due to less revenue generation, CIOs would look towards cutting down costs but that might lead to issues in the future. Now is the time to work together with the vendors to build long-lasting relationships 

Contingency Planning to build resilience

The economy currently is highly volatile and consumer behavior is unpredictable. Things may go either way in the coming months. The situation might get better but some sectors might not recover so soon. Small start-ups are already facing the brunt of it. Some medium-sized companies will face adversities soon. 

The CIO needs to come up with back-up plans to mitigate potential risks. Innovation that will help people adapt to the New Normal will take the front seat. CIOs can focus their energies on product and service innovation based on the market research. The first wave of the crisis has come under control in some countries but there is no guarantee that a second wave might not come. CIOs need to build a technology infrastructure that will stand any future crisis and stay operational. 

Cybersecurity

Remote working puts a whole lot of data vulnerable for the hackers. CIOs need to build multi-layer security systems so that data is secure even when accessed remotely. Rules for remote employees need to be laid down. Some significant changes to the privacy policies need to be made. Timesheet compliances, multi-level authentication, remote VPN access, and secure collaboration tools should be made compulsory for the entire workforce. The security plans should include data centers, network support, and critical servers. CIOs should build a virtual command center to overlook the operations.

The role of CIO in the Insurance Industry

The current pandemic crisis has forced even the Insurance industry to adapt to digital distribution models. Some insurance lines such as motor, travel, home, etc. have been worst hit due to lesser demand during the lockdown periods. Selling agents are facing hurdles in getting leads and converting them. On the other hand, health and life insurance will see an upsurge in the demand but will face issues in operations. The pandemic put a huge strain on claims processing for health insurance. 

[Also read: The Impact of Covid-19 on the Global Economy and Insurance]

The role of CIO is very crucial in automating processes such as claims, underwriting, customer support to serve its customers better. The other aspect where CIOs in insurance companies need to focus is equipping their sales force with training, tools, and products that might help them make the sales even in this crisis. 

Many industry experts believe that this crisis will give the much-needed boost for technology to the Insurance sector. With limited physical interaction, Insurers have to automate their processes and take distribution channels online. 

[Also read: How Technology is Transforming Insurance Distribution Channels]

Another aspect where the CIO needs to focus on is the investment in AI. This crisis would be a huge opportunity to think ahead and collaborate with InsurTech for creating better customer experiences and optimizing company resources. 

Wrapping-up

All this while, organizations have been focusing on operational activities at the cost of investing in digital business and long-term sustainability. No one could have predicted the scale of impact due to this pandemic but, a positive attitude towards continuous innovation could have reduced the impact by some margin. 

At the very initial stage of the outbreak, some CIOs got into action mode and started making Operational Continuity plans in anticipation of the worst-case scenario. Technology is going to be the most important part of Business Continuity planning. There will be budgetary constraints, but industry experts foresee huge shifts in investment towards new-age technologies such as AI across industries. The crisis is a problem for now, but it will be a huge opportunity especially for CIOs to accelerate technological innovation into manual processes. Businesses that can tap into this opportunity by shifting investments to digital platforms will have an upper hand in mitigating future risks and enabling smooth functioning of operations.

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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.

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