Try : Insurtech, Application Development

AgriTech(1)

Augmented Reality(20)

Clean Tech(8)

Customer Journey(17)

Design(43)

Solar Industry(8)

User Experience(66)

Edtech(10)

Events(34)

HR Tech(3)

Interviews(10)

Life@mantra(11)

Logistics(5)

Strategy(18)

Testing(9)

Android(48)

Backend(32)

Dev Ops(11)

Enterprise Solution(29)

Technology Modernization(7)

Frontend(29)

iOS(43)

Javascript(15)

AI in Insurance(38)

Insurtech(66)

Product Innovation(57)

Solutions(22)

E-health(12)

HealthTech(24)

mHealth(5)

Telehealth Care(4)

Telemedicine(5)

Artificial Intelligence(143)

Bitcoin(8)

Blockchain(19)

Cognitive Computing(7)

Computer Vision(8)

Data Science(19)

FinTech(51)

Banking(7)

Intelligent Automation(27)

Machine Learning(47)

Natural Language Processing(14)

expand Menu Filters

Is AI replacing Architects?

Architecture is perhaps the most complex discipline operating in more dimensions than any other coordinated human activity. However with the advancement of artificial intelligence, like every other profession, architects to are worried about the level of automation that has already taken away specific tasks from their roles.

While the ‘Humans are hooked and Machines are learning’, AI and ML are disrupting all manner of industries. Although AI has taken decades to go from crazy lab demos to a finished consumer product — today, there are immense possibilities for the industry to be augmented and enhanced by artificial intelligence. 

The earliest sense of advancement in the construction field came with Building Information Modelling (BIM) — a term that has existed since the 1970s, but came to its penultimate fore in the early 2000s, when Autodesk began popularizing the tag. 

The resulting by-product was the BIM software which is a type of intelligent 3D-modelling process used by architecture, engineering, and construction (AEC) practitioners to design and construct any kind of infrastructure. BIM software includes computer-aided design (CAD software) tools and libraries specifically targeted toward architectural design and construction and goes beyond traditional drawings to generate a fully digital model. 

Over several years the BIM (Building Information Modelling) software has had a huge influence on the day-to-day operations undertaken in an architectural firm

The Parametric design or the programming architecture can scrape through several design styles in no time and can come up with a perfect Zaha style building plan — that would otherwise take years to be designed. 

Over the last few decades, BIM has transformed the roles of engineers, contractors, architects, developers, and consultants by allowing them to communicate the same language and collaborate better. It has quite literally revolutionized both the design process itself and the designs themselves. 

BIM software produces an immense volume of big data, so much so that most architecture firms and their consulting partners don’t know what to do with them. Once AI permeated the technological landscape and bled over into every imaginable business use case — the industry learned to create value by collecting, organizing and storing building-related data (collected from models, simulations, etc.) It is now widely believed, that the scope for innovating the most optimal designs for each construction project becomes completely conceivable.

AI BIM = Optimized [Affinity]

When ‘parametric design’ technology is combined with AI that can actually use 6D BIM-models, and can record the whole life cycle of the building — it can come up with better decisions and insights into project execution by learning from the mistakes of the past.

Today, there are machines that can run through an infinite number of datasets, simulate for each model, pick the best option, verify its efficiency and continue to learn and communicate when introduced with the new autonomous building technology.

AI is the next frontier for architecture
Changes in the demographics, technology and business models have opened up a plethora of far-reaching opportunities for architects to explore areas like urban housing in more ecosystems than ever before.

Let’s have a look at some architectural products augmented and enhanced by AI.

Road Printers
The six meters wide machine that can pave entire streets at once. Naturally, the stones fall on the road directly into the appropriate pattern. The device is simple to handle and can finish the work in no time.

Concrete 3D Printers
3D printing as a core method to fabricate buildings or construction components. At a construction scale, it will have a wide variety of applications within the private, commercial, industrial and public sectors. The concrete 3D printers enable faster construction, lower labor costs, increased accuracy, greater integration of function and less waste produced.

Brick Laying Machine
The bot can lay between 300 to 400 bricks an hour, compared to a human which can only lay around 60 to 75 bricks an hour. It works 5 times faster than a human and can alleviate the labor shortage.

Brick Laying & 3D Printing Concrete Drone
Though in its infancy, researchers from Imperial College London have taken the first step towards making this a reality with their work on a drone that is able to ‘3D print’ while it is in flight.

However efficient bots may be, it will always lag in understanding the personality and the character of the customer — and this is where humans intervene.

Architects with the help of AI can create something different from the one-size-fits-all range of products already in the marketplace, to create more personalized solutions that perfectly align with user needs — but it is the imperfections in our creative decisions that truly makes something personal and truly unique.

What is your opinion about AI in architecture? Do you think AI will either augment or eliminate every profession in the near future?

Let us know by commenting.

To know us in person, reach us on hello@mantralabsglobal.com  

Cancel

Knowledge thats worth delivered in your inbox

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

By :

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.

Cancel

Knowledge thats worth delivered in your inbox

Loading More Posts ...
Go Top
ml floating chatbot