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Digital Transformation in 2024: Trends and Predictions

Digital transformation has been a buzzword in the business world for the past few years, and for good reason. According to Statista’s latest report, global digital transformation spending is forecasted to reach 3.4 trillion U.S. dollars by 2026. Artificial intelligence (AI), big data, and the cloud are considered to be core transformative technologies with broad applications across multiple industries. As technology continues to advance at a rapid pace, companies must adapt and evolve to stay competitive. But what does the future hold for digital transformation?

In this article, we will explore the top trends and predictions for digital transformation in 2024, shedding light on the future of this ever-evolving landscape. From the rise of artificial intelligence to the integration of physical and digital experiences, we’ll uncover the key drivers shaping digital transformation in the coming years. 

The Rise of Artificial Intelligence (AI)

AI-powered technologies such as machine learning, natural language processing, and robotic process automation are already being used to streamline processes, improve customer experiences, and increase efficiency. 

In 2024, we expect to see even more companies incorporating AI into their digital transformation strategies. This will not only improve internal processes but also enhance the overall customer experience. AI-powered chatbots, for example, will become more sophisticated and will be able to handle more complex customer inquiries, freeing up human employees to focus on more high-value tasks.

Hitee, a conversational AI platform developed by Mantra Labs has helped insurers in India in managing millions of customer queries related to onboarding and retention.

Companies have long struggled to enhance employee and customer experience, with overburdened employees, manual work, and delayed responses to customer queries. The introduction of Gen AI last year has opened new opportunities for companies across industries. For example, gen AI in healthcare can streamline laborious and error-prone operational work, instantly placing years of clinical data at a clinician’s fingertips in seconds and upgrading health systems infrastructure. 

(Read our latest blog on Gen AI to know more: Gen AI’s next leap: Predicting the Future of AI in 2024 & Beyond)

The Importance of Data and Analytics

Data and analytics

Data has always been important in business. In 2024, we can expect to see a continued focus on data and analytics as companies strive to make data-driven decisions.

According to the report by Expert Market Research (EMR), the global predictive analytics market size reached a value of USD 15.70 billion in 2023 and is estimated to increase at a CAGR of 21.7% between 2024 and 2032. Data analytics has opened a new horizon for companies across industries. They can gather and analyze vast amounts of data in real-time enabling them to have a closer look at customer behavior, forecast trends, and optimize their business processes. This helps them offer a better experience and service to their customers and improve operations at the same time. 

Biopharma company like Abbvie uses an AI-powered research tool developed by Mantra to extract information about genes and their interconnectivity from research papers. This helps interpret screening results in an unbiased way, significantly reducing drug development time. 

The Shift to Cloud Computing

Cloud computing has been a game-changer for businesses, allowing them to store and access data and applications remotely. In 2024, we can expect to see a continued shift towards cloud computing as more companies realize the benefits it offers.

Cloud computing not only allows for more efficient and cost-effective data storage, but it also enables remote work and collaboration. 

McDonald’s has collaborated with Google to utilize Google Cloud technology in its restaurants to transform its business and customer experiences. 

Increased Focus on Cybersecurity

Cybersecurity

As technology continues to advance, so do the threats to cybersecurity. In 2024, we can expect to see an increased focus on cybersecurity as companies work to protect their data and systems from cyber-attacks.

With the rise of remote work and the use of cloud computing, companies must ensure that their data and systems are secure. This will lead to the adoption of more advanced cybersecurity measures, such as biometric authentication and AI-powered threat detection.

The Integration of Physical and Digital Experiences

In 2024, we can expect to see a blurring of the lines between physical and digital experiences. With the rise of technologies such as augmented reality and virtual reality, companies will be able to create immersive experiences for their customers.

Companies like Loreal & Nykaa offer AR-powered virtual try-ons where customers can try the product from the comfort of their homes before making the purchase. 

The Continued Importance of Customer Experience

Customer experience

Conclusion

In 2024, customer experience will remain a top priority for businesses. With the rise of digital transformation, companies will have even more opportunities to enhance the customer experience and build strong relationships with their customers.

This will involve using data and analytics to gain insights into customer behavior and preferences, as well as leveraging technologies such as AI and chatbots to provide personalized and efficient customer service. Companies that prioritize customer experience will have a competitive advantage in the digital landscape.

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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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