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Artificial Intelligence(AI) is innovating healthcare sector

We are under the spell of the Fourth Revolution or the digital revolution. The ability of technology to help the humankind is empowering each day. With AI, Machine Learning, IoTs, and Virtual Reality we are witnessing a diminishing line between man and machine. While the machine is helping man to live luxuriously, it has also extended its help in saving lives. 
The use cases of Artificial Intelligence[AI] in healthcare are fascinating – be it Robotic Surgery, digital consultation, managing medical records over a blockchain network or a virtual nurse assisting you. AI in health is assisting machines to sense, analyze, act, diagnose and help in the clinical and administrative task in a hospital.

Let’s explore in detail on how AI is helping humans to stay healthy and save lives.

Assisting Patient at Every Step

An AI app/product could effectively scan the medical records and help in diagnosing the particular disease, minimizing chances of human error. Based on the prescriptive analysis, the AI software could aid real-time case prioritization. It can precisely analyze actions and predict the risk associated with specific clinical procedures.
AI programs could also help in providing personalized services based on patient data and moods. In fact, an AI app can also recommend the best doctor as per your medical record. AI can be a helping hand for many expectant mothers, with continuous monitoring and ability of early diagnosis.

Several wearable devices and health apps are assisting customers in keeping track of their health. Health apps like Cure.fit help customers to order healthy food and keep tabs on their daily workouts. People can also book appointments and buy medicines through apps like Practo. 

 

Reaching New Heights in Research and Development

Collecting data samples of all the patient in a clinic/hospital, applying big data techniques and deep learning technology could help in extracting meaningful information. Such information could be used to study pattern for a disease or about an individual.
Genetics and study of genes are one of the most crucial jobs in healthcare, with AI the study could be exhaustive and precise resulting in impactful drugs and medicine. Applying medical intelligence could help in understanding the connection between drug and disease at the root level.

Helping Hospitals with Pricing, Risk, and Operations

In need of a marketing strategy that highlights the pain points, lessons learned, target segment and market perception? AI could help you. It can present you a unique strategy that helps in modeling competitive pricing charts,understanding market risk and structuring market data into meaningful actions. Rehauling of your repetitive tasks or back office could be achieved by implementing Robotic Process Automation[RPA] into your system.

With voice-enabled chatbots and video conferencing chatbots, customer queries and appointment booking can be facilitated in private clinics and healthcare sectors 

 

Virtual Nurses, Healthcare Bots

Are you in need of the second opinion from the country’s best doctor at the convenience of your home? AI can help you with Digital Consultation. Or you need a nurse who helps in keeping track of your medicines and food; Virtual Nurse is on his way. Or you need help in picking the best diagnostic center based on your health records? Or you need help in what are the side effects of a drug? Healthcare bots are in for the rescue.

All of this may sound like a sci-fi movie being watched, but now is a possibility with AI and machine learning technology.

Other significant innovation is the chatbot. Chatbots help in raising alarms during life-threatening incidents and save the needful. During an emergency situation, a call made by the chatbot to the needy’s family/ friends or a health center can help the suffering person.

Write us at hello@mantralabsglobal.com to know how we are helping healthcare businesses through AI technology.

Check out the webinar on ‘Digital Health Beyond COVID-19: Bringing the Hospital to the Customer’ on our YouTube channel to know more about how the digital health industry is disrupting the traditional ways of healthcare. 

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Why Netflix Broke Itself: Was It Success Rewritten Through Platform Engineering?

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Let’s take a trip back in time—2008. Netflix was nothing like the media juggernaut it is today. Back then, they were a DVD-rental-by-mail service trying to go digital. But here’s the kicker: they hit a major pitfall. The internet was booming, and people were binge-watching shows like never before, but Netflix’s infrastructure couldn’t handle the load. Their single, massive system—what techies call a “monolith”—was creaking under pressure. Slow load times and buffering wheels plagued the experience, a nightmare for any platform or app development company trying to scale

That’s when Netflix decided to do something wild—they broke their monolith into smaller pieces. It was microservices, the tech equivalent of turning one giant pizza into bite-sized slices. Instead of one colossal system doing everything from streaming to recommendations, each piece of Netflix’s architecture became a specialist—one service handled streaming, another handled recommendations, another managed user data, and so on.

But microservices alone weren’t enough. What if one slice of pizza burns? Would the rest of the meal be ruined? Netflix wasn’t about to let a burnt crust take down the whole operation. That’s when they introduced the Circuit Breaker Pattern—just like a home electrical circuit that prevents a total blackout when one fuse blows. Their famous Hystrix tool allowed services to fail without taking down the entire platform. 

Fast-forward to today: Netflix isn’t just serving you movie marathons, it’s a digital powerhouse, an icon in platform engineering; it’s deploying new code thousands of times per day without breaking a sweat. They handle 208 million subscribers streaming over 1 billion hours of content every week. Trends in Platform engineering transformed Netflix into an application dev platform with self-service capabilities, supporting app developers and fostering a culture of continuous deployment.

Did Netflix bring order to chaos?

Netflix didn’t just solve its own problem. They blazed the trail for a movement: platform engineering. Now, every company wants a piece of that action. What Netflix did was essentially build an internal platform that developers could innovate without dealing with infrastructure headaches, a dream scenario for any application developer or app development company seeking seamless workflows.

And it’s not just for the big players like Netflix anymore. Across industries, companies are using platform engineering to create Internal Developer Platforms (IDPs)—one-stop shops for mobile application developers to create, test, and deploy apps without waiting on traditional IT. According to Gartner, 80% of organizations will adopt platform engineering by 2025 because it makes everything faster and more efficient, a game-changer for any mobile app developer or development software firm.

All anybody has to do is to make sure the tools are actually connected and working together. To make the most of it. That’s where modern trends like self-service platforms and composable architectures come in. You build, you scale, you innovate.achieving what mobile app dev and web-based development needs And all without breaking a sweat.

Source: getport.io

Is Mantra Labs Redefining Platform Engineering?

We didn’t just learn from Netflix’s playbook; we’re writing our own chapters in platform engineering. One example of this? Our work with one of India’s leading private-sector general insurance companies.

Their existing DevOps system was like Netflix’s old monolith: complex, clunky, and slowing them down. Multiple teams, diverse workflows, and a lack of standardization were crippling their ability to innovate. Worse yet, they were stuck in a ticket-driven approach, which led to reactive fixes rather than proactive growth. Observability gaps meant they were often solving the wrong problems, without any real insight into what was happening under the hood.

That’s where Mantra Labs stepped in. Mantra Labs brought in the pillars of platform engineering:

Standardization: We unified their workflows, creating a single source of truth for teams across the board.

Customization:  Our tailored platform engineering approach addressed the unique demands of their various application development teams.

Traceability: With better observability tools, they could now track their workflows, giving them real-time insights into system health and potential bottlenecks—an essential feature for web and app development and agile software development.

We didn’t just slap a band-aid on the problem; we overhauled their entire infrastructure. By centralizing infrastructure management and removing the ticket-driven chaos, we gave them a self-service platform—where teams could deploy new code without waiting in line. The results? Faster workflows, better adoption of tools, and an infrastructure ready for future growth.

But we didn’t stop there. We solved the critical observability gaps—providing real-time data that helped the insurance giant avoid potential pitfalls before they happened. With our approach, they no longer had to “hope” that things would go right. They could see it happening in real-time which is a major advantage in cross-platform mobile application development and cloud-based web hosting.

The Future of Platform Engineering: What’s Next?

As we look forward, platform engineering will continue to drive innovation, enabling companies to build scalable, resilient systems that adapt to future challenges—whether it’s AI-driven automation or self-healing platforms.

If you’re ready to make the leap into platform engineering, Mantra Labs is here to guide you. Whether you’re aiming for smoother workflows, enhanced observability, or scalable infrastructure, we’ve got the tools and expertise to get you there.

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