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New Strategies For Using Big Data Analytics For Healthcare Advancements

Big data carries a weighted name. Many people associate data collection with some invasive practices. In the healthcare world, patient privacy is paramount. However, big data also holds some promising possibilities for advancements in healthcare. Analyzing data from patients and providers can help to improve medical technology and treatments which ultimately leads to better healthcare for patients. 

In a world of constant change, technology requires a responsible and trustworthy hand. Using big data analytics for healthcare requires some strategic planning and implementation. Let’s look into the benefits and risks of big data analytics and healthcare and how to improve the relationship between the two. 

Benefits Of Data Analytics For Healthcare

Medical studies work to achieve an unbiased account of treatment, symptoms, and the effects of medication. With big data, the information is readily available. Processing this data into usable information takes some tact and strategy but there is potential for massive benefits for the healthcare world. The information holds promise to continue to improve patient care in the medical world for numerous conditions. 

Population Health

Population health refers to the approach to the healthcare of an entire human population. Data collection shows the overall health of a population based on location, demographic, and more. While it is important to note the issue of patient privacy, the potential for using data analytics to achieve an unbiased scope on the overall health of a population is unmatched. 

Medical Imaging

Medical imaging in itself is the analysis of images of the body and its organs. Big data holds the potential for sharing more diverse and expansive medical imaging to help advancements in this area of healthcare. Improvements to medical imaging will in turn benefit the processes of clinical analysis and medical intervention. 

Chronic Disease Management

Chronic disease management is a crucial aspect of healthcare for patients suffering from long-term symptoms from various conditions. The overall quality of life for these patients depends on advancements in this sector of healthcare. Data analytics helps to determine successful and unsuccessful treatment options for patients with various chronic conditions. 

Precision Medicine

With advancements in medical technology and gene profiling, precision medicine has made leaps and bounds in recent decades. Precision medicine seeks to create tailored treatment programs, medical decisions, products, and practices for individuals and sub-groups. The advancements of precision medicine are seeking to replace the one-fits-all drug model of previous eras of healthcare. 

Why Big Data Is Problematic

Despite the potential for beneficial advancements in many segments of healthcare, big data is undeniably problematic. There are aspects of how data is both collected and used that trouble many. Balancing the risks and benefits is a delicate dance. Finding new strategies for both the collection, processing, and implementation of data from individuals is paramount in responsibly incorporating the information in healthcare practices. 

Privacy Concerns

Patient confidentiality is a basic right for anyone receiving medical care. Using data collected from patients requires trust from providers. Finding ways around this hurdle is paramount in using data analytics for healthcare advancements. 

Data Access and Collection

Many individuals, patients, and providers express concerns about who has access to data and how it is collected. Transparency in this realm is incredibly important to building trust between patients and providers. This is another hurdle that must be overcome to incorporate information drawn from data analytics in healthcare advancements. 

Strategies For Implementing Big Data In Healthcare

Overcoming hurdles associated with big data is necessary for healthcare to take advantage of the promising benefits. Healthcare researchers and provider organizations are developing and implementing strategies to improve how data analytics are collected and used in healthcare. Many of these strategies rely on building trustworthy models as well as improving the reliability of how data is analyzed. 

 

Using Data For Training Purposes

Data analytic tools used in healthcare rely heavily on the quality of the information used to train them. These data analytic tools create algorithms based on the information they receive as training data. Algorithms based on low-quality data are significantly more likely to yield poor results. These poor results in turn lead to poor medical care, programs, and protocol. 

Improving the data used in these analytic tools will help to create more reliable and accurate algorithms. Without advancements in data analytics, obtaining quality material for training is both times extensive and expensive for healthcare organizations. Building effective models rely heavily on quality data and without it, these tools will be unable to deliver satisfactory care to patients.  

Researchers acknowledge this as a major hurdle that needs to be jumped to bring the promise of big data in healthcare to fruition. Researchers from MIT’s CSAIL (Computer Science and Artificial Intelligence Library) made headway on this issue in 2019. The team developed an automated system for gathering more information than ever from medical images. This system incorporates massive datasets of training examples to train machine learning models. 

These analytic tools will help to cut down on time and get to conclusions faster. Imagine individual researchers reading 20,000 pages of studies and synthesizing the information into usable data. This is laborious and time-consuming. With machine learning models, this information can be synthesized and processed quickly and effectively. With proper fine-tuning, these machines can quickly and accurately produce information to provide top-quality care for patients suffering from diseases and other health conditions. 

Making Patient Privacy A Priority In Developing Analytic Tools

To accurately synthesize information with analytic tools, the data must come from patients. Unfortunately, there is a lot of mistrust around data collection and access. Understandably, patients and the general population are concerned about their personal and private medical information being shared. 

For the proper training in analytic technology, researchers need access to the large and diverse medical data available. There are legal and privacy concerns about the security of an individual’s private data that must be addressed to responsibly gather data for analytic purposes. It is a major concern of both researchers, providers, and patients. In the current development of analytic tools, these concerns are being taken very seriously. 

The University of Iowa in partnership with the National Science Foundation has set out to seek a solution to this problem. The team of researchers is working on a machine learning platform for analytic training using data from all over the world. The researchers are working to create a decentralized system for organizations to share data models rather than individual patient data. This means the issue of privacy and patient security is not involved in the development of machine learning models. 

Previously, training models relied on access to patient data specifically rather than data models which are less invasive and provide less risk to patient privacy and confidentiality. By using a decentralized system, this new system developed by the University of Iowa, called ImagiQ also helps to take the work off of individual hospitals that in previous models had to maintain databases on their own. 

Federated Learning For Preserving Patient Privacy

Federated learning supports the efforts of other upcoming analytic tools and technology in preserving patient privacy. Federated learning is an emerging approach to data analytics where clinicians train algorithms across decentralized servers and devices. This approach allows for the devices and servers to hold samples without sharing them. This helps to protect individual patient data while still reaping the benefits of the information held in the data. 

Improving Algorithms By Removing Bias

Incorporating data systems in healthcare requires a lack of bias in the information provided to algorithms. If data sets hold any sort of bias, it will exaggerate inequities in certain population groups when it comes to healthcare. Eliminating bias in the data sets and models used to train algorithms is paramount in creating reliable and trustworthy technology. 

There are notable inequities in healthcare and these new algorithms can either remove or exaggerate these inequities. Algorithms are tricky and complicated when it comes to bias. Developing technology with unbiased information is of utmost importance for the future of healthcare. 

Properly developing algorithms is the difference between using data collection for good or bad intentions. Big data analytics are used in a wide range of industries. Some industries use data to exploit consumers. When it comes to healthcare, the algorithms must be as unbiased as possible to ensure patient care is a top priority. 

Creating Reliable and Trustworthy Analytic Tools

Building trust with patients is one part of the coin, analytic tools must build a reputation of reliability and trustworthiness for providers as well. Providers need confidence in the data and models produced by the algorithms trained with big data analytics. Artificial intelligence tools show a lot of promise in building trust with providers. 

AI tools help to manage large workloads and even augment clinical decision-making when it comes to patient care. Creating AI tools where clinicians and providers can tailor and refine the technology will help to build confidence in clinicians working with the technology. Getting clinicians on board with these new analytic technologies and algorithms will help build a reputation of trustworthiness around all these new technologies and tools in healthcare. 

Having clinicians working with new technologies in healthcare helps to make them even more efficient and accurate. All aspects of the healthcare industry are integral in creating new systems for data analysis for patient care. The expertise of practicing clinicians will reinforce the data and information in these systems and make them more reliable, accountable, and trustworthy for all parties involved. 

Conclusion

Big data analytics has its hang-ups but the potential for vast improvements across nearly all sectors of healthcare is extremely promising. Developing analytic tools with reliability and trustworthiness in mind is paramount for the future of this technology for medical developments and advancements. There are hurdles to overcome and they are being addressed by organizations, researchers, and providers alike. As the technology continues to be refined and developed, the possibilities for improving healthcare for patients around the world are exponential. 

Clutch Names Prestige Development Group as a Leading IT Company in Costa Rica

The IT industry has been the backbone of a lot of industries in the market today. Businesses are partnering with IT professionals to help improve their business and to utilize the latest technologies that the industry has to offer. At Prestige Development Group, we believe in empowering our clients, through our services, to help them reach their maximum potential and conquer their challenges.

clutch badge 278x300 - Clutch Names Prestige Development Group as a Leading IT Company in Costa Rica

Our love for creating and developing innovative solutions for our clients has recently helped us in securing our spot on Clutch’s list of top IT companies in Costa Rica. We are very honored and privileged to be featured on this amazing list and to stand alongside some of the best B2B companies in our country.

 

Clutch, in case you haven’t heard of them yet, is an established platform in the heart of Washington, DC, committed to helping small, mid-market, and enterprise businesses identify and connect with the service providers they need to achieve their goals. 

 

They officially announced their top companies in Costa Rica this 2022 and we are proud to be one of these companies. To officially receive this award, here is our CEO Tiffany Jorge Sequeria:

 

“It is an honor to receive recognition from Clutch. We believe in their model and value the independent feedback from our customers. With that being said, we would like to express our gratitude to Clutch and their team for a job well done and for making this award possible.”

 

Let’s turn your ideas into reality! Contact our team today and let us know how we can help you.

Five Software Outsourcing Trends to Watch in 2022

The flexibility of software outsourcing greatly benefited companies that scrambled to readjust to new normals during the pandemic. Global outsourcing generates strong opinions both against and in favor but has been growing rapidly for years. In 2019 alone, the global outsourcing market generated more than US$92 billion. As competition increases, companies are searching for more cost-effective solutions for IT and software development. Experts predict the market will grow to US$98 billion by 2024.

 

Check out our picks for the top five 2022 software development outsourcing trends.

 

  1. The Tech Skills Shortage Continues to Grow

 

At the same time that demand for technology increases in every aspect of global trade and everyday life, there is also a fast-growing talent shortage in tech. While the problem isn’t new, it is accelerating more quickly as the development cycles of emerging technologies speed up. This acceleration and the mismatch between supply and demand mean that the tech skills problem is double-barrelled. Existing tech workers may need significant reskilling, and available workers are in high demand. The Great Resignation added additional pressure to an already-strained market, as workers sought better salaries and benefits and reevaluated their priorities. 

 

The tech skills shortage is so critical that many see it as a significant hindrance to the growth and adoption of emerging technologies. According to a Gartner survey, four percent of IT executives in 2020 believed the tech skills shortage would significantly impact emerging technologies. By 2021, that number had skyrocketed to 64 percent

 

The Impact of the War in Ukraine

 

A growing number of IT jobs have been outsourced to Eastern Europe and, in particular, Ukraine. By 2021, 4 percent of Ukraine’s GDP came from the IT industry. Despite the displacement of millions of Ukrainians, many in the IT and tech sectors have continued working. Some have fled to other parts of Ukraine or out of the country altogether, while others continue working amidst the shelling and bombardment. However, the future of IT outsourcing in Ukraine is uncertain and fragile as hostilities continue unabated.

 

  1. Acceleration of Digital Transformation

 

Digital transformation is likely to trend well beyond 2022 as organizations recognize the need to streamline operations to remain competitive and operate efficiently. However, the tech skills shortage is hindering transformation initiatives for many companies. Nearly two-thirds of IT executives are looking to outsource the expertise needed for digital transformation. 

 

Cost reduction is a top driver for outsourcing digital transformation, but there are other critical reasons for outsourcing. Investing in new and advanced technologies means searching for artificial intelligence (AI), cloud computing, and automation specialists. 

 

Outsourcing for digital transformation will continue to expand in 2022 and beyond for several reasons, including:

  • Risk mitigation: Specialists tackle industry-specific problems regularly and are familiar with them.
  • A larger talent pool: already-overburdened IT departments can share the enormous workload of digital transformation via outsourcing.
  • Scalability: as companies tackle each aspect of digital transformation, they can expand or contract the team as needed.
  • Security: outsourcing also relieves the burden on IT to have the right resources in place by bringing in specialized, professional services.

 

  1. Outsourcing for a Dynamic Cyber Defense

 

Ransomware incidents are growing in both scope and number. Hackers caused significant disruption and temporarily shut down the Colonial Pipeline in 2021, and widespread data breaches have impacted millions. Congress has attempted to combat the growing threat by increasing the penalties for cybercriminals. The White House addressed the threats to critical infrastructure during two summits in 2021 with top tech CEOs and representatives from over 40 countries. 

 

From these meetings came pledges of funding to invest in zero-trust programs, which require all users to undergo continuous validation and authentication for security configuration and expand training and certification of new talent. Since 2021, the White House has issued statements, and President Biden signed an executive order to modernize defenses.

 

However, there aren’t enough trained IT workers to handle the growing cybersecurity threat. In 2022, many organizations are rethinking their modern security operations centers and exploring a diversified, global network for greater resiliency.

 

  1. The New Reality of Remote Work

 

The pandemic accelerated an already growing growth in the remote work sector, and post-pandemic, remote work continues to trend upward. Software outsourcing and remote work go hand in hand. While only 16 percent of companies globally are fully remote, experts predict that number will rise as outsourcing continues to trend. Whether companies are tapping into specialized talent from around the globe or IT workers from Ukraine are logging in on the go, remote work provides organizations with targeted and timely solutions for software development.

 

Turning to outsourced software development in the new world of remote work makes perfect sense. Remote workers are more productive, and companies see lower turnover rates. Outsourcing to remote workers means companies can have more flexibility and tap into 24/7 software development, implementation, patching, and cybersecurity. 

 

  1. Next-Level Partnership Management

 

Co-sourcing has gained traction as companies sought to create networks with outside vendors for analytical and strategic support. But with the need for more complex software development initiatives, the stakes are higher than ever, and client-partner relationships are evolving. 

2022 will see this evolution develop in several ways:

  • Detailed due diligence: For many companies, the margin of error is slimmer than ever before. To tighten risk management, a greater focus on due diligence to reconcile assumptions with current conditions is vital. 
  • Timely partner selection: Unfortunately, thorough partner vetting takes time that many organizations cannot afford. Some organizations are turning to networks of pre-vetted partners to ensure greater success.
  • Careful contracting: In 2022, the importance of service level agreements (SLAs) in outsourcing software development partners will be front and center. The risks are too significant to allow for ineffective or weak contracts with partners, so updating or strengthening SLAs is vital. 
  • Innovative project control: Outsourcing project development can allow a more focused and cost-effective approach. Get timely expertise within the budget without overburdening the IT department.

 

The Expansion of Outsourcing in 2022 and Beyond

The pandemic accelerated software development trends that were already in place. Outsourcing has allowed organizations to find room in their margins by reducing overhead and squeezing greater efficiency out of processes during an extended time of uncertainty. In 2022, these trends will continue post-pandemic as companies turn to outsourcing to solve key challenges. Businesses with dynamic, adaptable IT models are better positioned to overcome lingering uncertainties and meet new challenges head-on. 

2021’s emerging technologies hype cycle featured Non-fungible tokens (NFTs), digital humans, and physics-informed AI among the 25 technology profiles.

The Gartner Hype Cycle highlights the 25 breakthrough technologies it projects will profoundly affect business, culture, and society within the next two to ten years.

“Breakthrough technologies are continually appearing, challenging even the most innovative organizations to keep up,” says Brian Burke, Gartner Research Vice President. “Your focus on digital business transformation means you must accelerate change and cut through the hype surrounding these technologies.”

Gartner selected the technologies featured in the 2021 Hype Cycle for their potential transformational benefits and broad potential impact. These technologies fall under three main themes:
Engineering trust
Accelerating growth
Sculpting change

Let’s take a closer look at just three innovative technologies within Gartner’s three themes predicted to make big waves in the near future.

Engineering trust in emerging technologies

Whether NFTs—non-fungible tokens—will revolutionize how we invest or whether they will prove to be a very expensive flash in the pan remains to be seen. Although the technology has existed since 2014, NFTs have only recently entered the mainstream. NFTs are unique digital assets that link to real-world assets such as digital art, music, or tokenized physical assets like cars or real estate. Like cryptocurrencies, NFTs are bought and sold in the online world and are stored in a blockchain. Most NFTs are located in Ethereum blockchain, but others can support NFTs as well.

However, unlike cryptocurrencies, NFTs each have a unique value and its own code. An NFT is not traded for another NFT the way an investor might trade one bitcoin for another. NFTs had their best year ever in 2021, generating a trading volume exceeding $23 billion. There is an infinite supply of many digital creations, but NFTs create scarcity by their very nature, which has led to some remarkable purchase prices.

Mike Winklemann, better known as the digital artist Beeple, created an NFT composed of 5,000 images. In the spring of 2021, the auction house Christie’s announced that not only would it begin accepting cryptocurrency, but it would also offer Beeple’s NFT. The NFT in question sold for more than $69 million.

NFTs are a dynamic addition to the Gartner Hype Cycle for Emerging Technologies 2021 and are rapidly forming part of an entirely new digital ecosystem. Anyone can view the images from Beeple’s work, entitled “EVERYDAYS: The First 5000 Days,” for free. But the allure when it comes to things like artwork seems to be in the proof of ownership. Owners have the rights to the original work, and authentication is built into the blockchain.

Where NFTs go from here is uncertain. Many are essentially digital collector’s items since there can only be one owner at a time. While many appear willing to outlay vast sums for many NFTs, it’s not yet clear whether their function will change in the future.

Accelerating growth in emerging technologies

Digital twin technology is not a new concept and has existed in some format for decades. At its simplest, a digital twin is a virtual construct of a physical thing, like an engine or a bike. However, digital human technology represents a potential revolution in the making. Gartner has been watching digital twin technology as one of its top ten trends for several years now and is predicting that digital human technology will soon see explosive growth in various sectors.

Digital human technology takes digital twinning to the next level by creating a virtual self that digitally mimics the physical body. While many use cases are beginning to integrate digital human twins, many experts predict the healthcare industry will see phenomenal growth as it turns to digital twins and AI. Many believe that digital human technology will continue to improve in scope and complexity within the next few years, allowing medical professionals to help patients treat and manage health conditions. Researchers may also be able to map and explore the human body beyond the current limitations of medicine.

Beyond the scope of healthcare and medicine, digital human technology also holds the intriguing potential for people to create virtual extensions of themselves. These extensions could potentially hold meetings and even make decisions in the virtual world on our behalf. And some people are exploring the ethical issues surrounding the creation of a human digital twin for a person who is deceased. As the technology supporting digital human twins accelerates, so do the possibilities for utilizing it.

Sculpting change in emerging technologies

While it may seem counterintuitive, understanding how AI can distinguish between one item and another is not always clear-cut. Researchers are turning to physics-informed AI (PIAI) and physics-informed neural networks (PINNs), using physics models to explain the processes and place realistic boundaries on AI outcomes. Researchers in the industry have frequently described artificial neural networks (ANNs) as virtually black boxes, where processes leading to output are unknown even to the designers and heavily dependent on vast quantities of data.

Bottlenecks to progress have occurred because AI processes remain frustratingly opaque and require large amounts of data. By applying physics models to AI, developers are solving the issue of unpredictable outcomes and mysterious processes by tying physics laws to the process. This can also drive functionality without the need for a large amount of data and shines a light into the black box. ANNs cannot make predictions in areas for which they have no data, but PIAI can bridge that gap. PIAI could lead to what some are calling ‘gray boxes,’ which meld ANNs with PINNs in a complementary role. Combining these approaches could result in an incredibly fast and adaptive network that can continue to train and refine as data is added.

Gartner’s Hype Cycle highlights trust, growth, and change in emerging technologies

While predicting the future is always a bit of a gamble, it’s clear that NFTs, digital human twins, and PIAI are compelling examples of innovative tech trends. Gartner’s Hype Cycle carefully screens and curates the latest in tech news and developments to highlight exciting developments that have the potential to change the world. Staying on top of these changes can be the difference-maker in developing a winning business strategy.

Application Modernization Trends to Watch in 2022

As the pandemic surged and then dragged on in many places, many organizations experienced a boost in digital transformation. 

Legacy app modernization services offer organizations the opportunity and the ability to respond dynamically to various challenges. Organizations are now deploying and enhancing software technologies at an unprecedented scale. Companies are adopting the app modernization strategy in an effort to create growth and continuity in an increasingly volatile global market. 

Using app modernization on the existing systems within an organization is an excellent choice for extracting additional capital from applications that were often costly to implement initially.  Application modernization can deliver measurable results without scrapping the legacy system.  Integrating an entirely new system or application can require extensive retraining, whereas application modernization may only require a quick training update. 

Application modernization, also known as legacy app modernization, refers to the practice of updating obsolete software to handle computing innovations, including the latest frameworks,  languages, and infrastructure platforms.  

Legacy app modernization helps improve structural integrity, safety, and efficiency and boosts the longevity of business enterprise apps. Let’s discuss application modernization trends a little further. 

Application Modernization Trends to Watch 

Businesses deal with all types of pressure, both externally and internally. COVID-19 certainly changed the game for many and required organizations to fundamentally rethink modernization during the unprecedented crisis. So many organizations have seen significant disruption in revenue streams as global events have played havoc with supply chains. 

Organizations across various seemingly unrelated industries can struggle with similar challenges when it comes to legacy integration and how outdated services can have adverse business effects and complications. Most application modernization trends stem from one or  more of the following issues: 

  • The legacy apps restrict organizational growth 
  • A lack of integration can be expensive 
  • Onboarding is considered to be more critical 
  • The new technology demands are constantly growing

Integrating the Latest Services and Features with Application  Modernization 

Many organizations invest in developing software, but the pace of technological growth means applications must have the capacity to flex and adapt. 

The pandemic painfully highlighted that change is the only constant. Apps that work correctly today may not perform properly tomorrow. The latest updates, releases, and new patches could prove to be an issue and cause an app to perform less than optimally. Moreover, it’s a challenge to accomplish the changing customer requirements during the economic downturn. 

App modernization allows organizations to develop the latest services and features, which align with planned, future objectives. Additionally, the organization can purposely construct these services and features, ensuring that the legacy app offers continuing value to the company. 

Common Patterns in Application Modernization The common modernization app patterns include: 

Lift and Shift 

Lift and shift, also known as rehosting, is an integral part of software development to simply move the existing app to some other infrastructure from the legacy environment. Lift and shift result in little to no change to the underlying architecture and code of the app. Though this technique is the least intensive approach, it may not be optimal, depending on the app and the organization’s changing needs. 

Refactoring 

Refactoring is also known as restructuring or rewriting. This particular app modernization approach requires adapting the legacy app, followed by the retooling of significant underlying pieces of code so that it functions more smoothly in the newer environment. 

Apart from the latest codebase restructuring, this approach involves rewriting the code. The development team can select the method for breaking the monolithic app into decoupled and smaller pieces. The development team can appropriately adapt the microservices to boost the cloud-native infrastructure benefits. 

Replatforming 

Replatforming allows organizations to take a middle ground stance and functions as a  compromise between refactoring and lift and shift approaches. Replatforming doesn’t require significant changes in the architecture or code.

However, it does include contemporary updates, allowing the legacy application to reap the benefits of the modern cloud platform, like replacing and modifying the app’s back-end outbase. 

Essential Technologies for App Modernization in 2022 A variety of intersecting technologies are fundamental to app modernization: 

Containers 

Containers are a cloud-centric technique in which organizations can pack, deploy, and operate other applications and workloads. Using containers can have several benefits, including operational efficiency, portability, and scalability. Containers are suitable for cloud infrastructure and many hybrid and multi-cloud environments. 

Cloud Computing 

Cloud computing refers to the process of migrating regular apps to run in the latest cloud environments. This method encompasses public cloud platforms and both private and hybrid cloud systems. 

Microservices 

Rather than developing the app as a complete and single codebase, microservices allow an organization to divide various components into discrete and smaller codebases, referred to as monolithic development. Microservices decouple a wide assortment of components into discrete and smaller pieces allowing organizations to operate, update and deploy the elements independently. 

Automation and Orchestration 

The software development orchestration contributes to automating different operational tasks related to various containers, including networking, scaling, and deployment. Automation considered an integral technology and principle, ensures security teams, operations, and development can manage the latest applications during scaling. 

The modernization of legacy apps is essential for ensuring the success of the digital transformation. Businesses can and should modernize in a variety of ways. By recognizing the opportunities and capturing the issues, legacy app modernization strategies help boost an organization’s revenue. 

Application Modernization Is a Cost-Effective and Nimble  Method 

There are several reasons why app modernization is advantageous. First, it can deliver greater speed and efficiency, offering better performance. In addition, it provides more opportunities for employees to access improved cloud technology, which helps to serve clients more efficiently. 

In many industries, the competitive edge is razor-thin, and this trend is likely to continue beyond  2022. 

Application modernization is a great place to begin when thinking about different investment possibilities, including using AI and different ML looks and transferring the data into the data pool. App modernization allows organizations to develop and deliver the latest services and apps across cloud-native containerization and architecture adoption.