As a field, computer vision has got a lot of exposure and a good amount of investment.
Computer vision, or the capability of artificially intelligent systems to “see” like people, has been a subject of expanding interest and thorough examination research in the recent decades. As a method of copying the human visual framework, the research in the field of computer vision intends to create machines which can automate tasks that require visual cognition. Notwithstanding, the way towards interpreting pictures, because of the fundamentally, more noteworthy amount of multidimensional information that needs analysis, is considerably more perplexing than understanding different types of binary information. This makes creating AI systems that can perceive visual information more complicated.
Keeping the growth prospects in mind, advances or amalgamation of computer vision with different technologies will dominate the year of 2021.
1. Integration with Edge Computing
Machines that connect with the internet and the cloud can gain from the information accumulated by the network overall and change as need be, optimizing the system’s performance. However, internet connection and the cloud isn’t generally an assurance. That is the place where edge computing comes in.
Edge computing tackles the issue of network accessibility and latency. Presently devices can be set in areas where a network connection is awful or nonexistent without it considering the consequences of the analysis. Moreover, edge computing can counterbalance some of the expenses of utilization and maintenance of cloud computing for data sharing.
For computer vision software, this implies a likelihood to respond better in real-time, and just move significant bits of knowledge to the cloud for further analysis. This component is particularly helpful for autonomous cars.
2. Emotion AI
Emotion AI utilizes computer vision technology to analyze facial appearances and eye developments in photographs and videos, with the point of reading a person’s emotional responses. A London-based emotion AI start-up records the facial expression of a sample crowd who watch a specific promotion through the camera of their PC or cell phone. Realeyes brought $12.4m of funding up in 2019 to help large brands, for example, AT&T, Mars, Hershey’s, and Coca-Cola, distinguish emotions from pictures of facial expressions prior to rating every promotion for attention, emotion, sentiment, etc. Apple additionally gained Emotient in 2016, and Facebook is building up its own products too.
3. Embedded Vision
Embedded vision incorporates image capturing and processing abilities to a single device. This computer vision innovation has discovered its way into numerous modern applications which incorporate arranging systems that demand inspection services. Moreover, providers have even integrated embedded vision into autonomous drones, smartphones and self-driving automobiles.
4. Mixed Reality: VR and AR upgraded
Today, any VR or AR framework establishes a vivid 3D environment, yet it has little to do with the real one the consumer is situated in. Most AR devices can perform basic outputs of the climate (Google ARCore can, for instance, recognize level surfaces and changes in light conditions), and VR frameworks can identify the developments of the customer through head tracking, controllers, and so on, however, their capacities stop there.
Computer vision programming is driving VR and AR into the next phase of advancement that some call Merged Reality (MR). It’s already in the market, however, 2021 will see more developments in this phase.
5. CV as a Service (CVaaS)
CVaaS is a sort of software-as-a-service hosted in the cloud. It permits organizations to lease as opposed to building a computer vision platform. Running computer vision in the cloud has carried innovation to new customers. The on-demand access to algorithms and APIs under a pay-as-you-go model, make the innovation both affordable and scalable.
In the years to come, CVaaS will turn into a vital piece of a business’ automation process. Additionally, computer vision models will progressively run at the edge, permitting them to be embedded in a more noteworthy number of devices.
Today, it is hard to imagine any business without an accompanying software application and that’s the prime reason for the software development industry to forecast a growth of $650B by 2025. This apparently also requires the development community to constantly innovate tools, technologies, and frameworks that can deliver scalable & sustainable solutions with quick time-to-market.
Here, we are going to talk about 10 approaches that simplify the development of a brilliant and scalable software solution.
1. Low Code Development
Low Code development is a modular approach comprising of reusable, component-based architecture that both boosts the delivery cycle and reduces the time-to-market. Low Code development approach makes bug fixing and maintenance easy, improves code reusability, makes tech-stack versatile, simplifies testing, etc.
2. Multi-Platform UI Development
As the name suggests, the Multi-Platform approach is best suited for designing a solution catering to multiple platforms (like iOS, Android, web application, etc.). React Native, Xamarin, and Flutter are some of the popular choices for building cross-platform apps. This approach of frontend development offers reusability and reduced time-to-market and delivery time for all platforms.
3. Serverless Architecture
Serverless architecture is a new lining that allows building scalable applications without having to manage the infrastructure. Applications run on third-party servers such as Amazon AWS, Microsoft Azure, etc. Resources in a Serverless architecture can be scaled up or down as per the need. This frees the engineering team from managing applications, databases, storage systems, and server runtimes, allowing them instead to focus on the core product.
4. AI-First Solutions
Artificial Intelligence has a disruptive effect on almost every industry. Considering the numerous benefits that AI brings in, developers are integrating AI in one form or the other to give an edge to the software applications. Some of the prominent use cases of AI include chatbots, data recognition & classification, object detection, predictive analysis, etc.
5. Microservices And Micro Frontends
These two are modular approaches to backend and frontend development.
Microservices architecture uses independent group components to build a software application. It makes it easy for an app development team to accelerate the development cycle, reduce time-to-market for new features, and keeps an application open for experimentation.
Micro frontends is the microservices approach to frontend development. Herein, an application is broken up by its pages and features, with each feature being owned end-to-end by a single team.
6. Edge Computing
In Edge Computing, an edge server is placed between the cloud and the user at a location within the user’s proximity. This approach is popular because it reduces the workload on the cloud server considerably and, as a result, reduces the data transmission latency.
7. Headless CMS
Headless content management system follows an API-first approach to software development. A headless CMS is a backend-only content management system. It offers backend capabilities for editing, organizing, and storing digital content, irrespective of the platform where it is to be published, displayed or used. Such an approach to development works best when omnichannel experiences are to be developed.
8. Automation Through DevOps
Software development is a collaboration between development and IT operations team. DevOps bring a cultural shift to software development wherein the teams collaborate to automate integration, deployment, delivery, testing, and monitoring of applications.
9. Voice-Enabled Solutions
Voice assistants like Siri, Google Assistant, Alexa introduces a new way to how humans interact with digital devices. With their growing popularity amongst users, especially the millennials, integration of voice assistants with software applications or skill development has become a much adopted trend.
10. Multi-Cloud Strategy
A multi-cloud strategy has two or more cloud services for an application. In this case, a software application utilizes multiple services (SaaS or PaaS) of different service providers which helps to improve efficiency, reduce cost, and offers high resiliency.
Modern day e-commerce needs to be incredibly responsive to user needs. A glitch-free website isn’t enough these days. The website owner needs to continually better the website based on the subsequent user input that is acquired from different engagement mediums.
Given the gargantuan scale at which e-commerce sites have to operate these days, DevOps is the perfect methodology to provide a seamless coding and development platform through which updates and changes can flow.
To give website owners a better perspective of DevOps, we need to look at its two most important categories of automation: Continuous integration (CI) and Continuous deployment (CD). CI and CD are formulated to ease the delivery pipeline by reducing the time and resources required to initiate the development and maintenance processes of a product. A development team needs to have strengthened collaboration in order to fully leverage the benefits that the CI/CD model offers.
If an e-commerce business wants to improve its conversion rates and performance, then the CI/CD model is the best way to do it.
Understanding CI and CD model
Continuous integration (CI) is a process that helps developers in creating, testing and merging their code through to the repositories in an automated manner, thereby reducing the chances of conflict that accompany a wide range of changes being done to the main source code from different development aspects.
In simpler words, CI allows developers to push code with automated testing in order to make sure that once the code is merged with the main website code, nothing breaks or experiences a crash. This reduces the chances of getting integration-related bugs from any external tools that your e-commerce website might have acquired. In CI, the code quality is improved before its released through iterative changes and by tracking of real-time reports.
Continuous delivery (CD) is a major part of this model as it wrests control over the other problematic aspect of code deployment after CI has done its job (i.e., integrating that live code within multiple environments).
With CD, you can release your code at any point in time, without having issues with the state of the product. Together, the CI/CD model automates most of the testing and QA parts of the delivery pipeline resulting in a highly efficient and coherent system that suits modern-day development needs.
Below are some of the advantages of the CI/CD model for e-commerce websites.
1. Faster Development Response Time
- The CI/CD model is primed for ensuring that you can test as many types of codes as you want and integrate it within your existing product without running into any major performance issues. This provides e-commerce websites with an incredible opportunity to respond to user demands and needs in real time by pushing everything from updates to feature introductions flawlessly and in a quicker manner than ever before.
- You can even use this model to test various versions of your user interface (UI) and the tools on your website so you can align your website with changing market and user trends. This will result in increased optimization of your site’s conversion funnel.
2. Reduced Time To Reach Market-Ready State
- Engaging customers before your competition does is crucial toward the success of an e-commerce website. If someone else is able to capture a segment first, then it becomes incredibly difficult for you to carve out your own space there.
- Reducing your time to deliver features and tools is a turnaround issue you will continuously encounter in the e-commerce space. Once you leverage the CI/CD model, you will be able to reduce the amount of time between gauging demand and responding to it, thus increasing your market success rate via capturing the space before others do.
3. Better Code Quality and Reduced Costs
- One of the major benefits of following the CI/CD model is that your development team can release multiple builds in a very short span of time via automated testing, resulting in a much more robust, glitch-free e-commerce website. E-commerce websites have diverse tools, features and categories, so efficiency and robustness in coding are imperative to deliver a stellar experience to the end user.
- This also helps reduce development costs because the same process of releasing new code requires fewer hours. With reduced errors and faster deployment, the overall expense budget allocated to development can be scaled down significantly.
Delivering an exceptional end-user experience is a necessity for modern-day e-commerce web development, and the CI/CD model is the perfect way to achieve it. Integrating this model can help you optimize your conversion rates and increase profitability in a sustainable manner.
Enterprises rely heavily on technology to build scalable, agile and highly available businesses. Event-Driven Architecture is emerging as a key cornerstone enabling modern enterprises to operate in real-time, adapt to changes quickly, and make intelligent business decisions.
“Event-driven architecture (EDA) is a design paradigm in which a software component executes in response to receiving one or more event notifications.”– Gartner
Combining agile methodologies with a platform that can respond rapidly to real-time events empowers businesses to make manual or automated intelligent decisions and achieve true enterprise agility. Events from a variety of sources from Servers to Wearables can then be harnessed to support a number of industrial use cases.
Large organizations that adopt such architectures need to treat Events as first-class citizens of their Platform, along with their APIs and Business Services.
Event-Driven Architecture Adoption Patterns
- Enterprises that embrace event-driven architecture can capitalize on the benefits of scalable and reliable real-time communication. This can help drive many strategic initiatives across IoT, eCommerce, Data Integration across systems, data and applications, Edge and Financial Fraud Detection, among others.
- Companies that add event-driven architecture to their systems and applications can improve the scalability and responsiveness of applications. They can also access the data and context needed for better business decisions, be that stream processing, data integrations or website activity tracking.
Events are captured as they occur from a spectrum of event sources. On a high-level, these events are categorized into Business/Functional or Technical.
True Stories of EDA Driving Business Value
1. Create a new business model through new channels
Emirates NBD uses Red Hat Fuse and Apache Kafka on Red Hat OpenShift to support real-time banking and partner interactions.
2. Incredible improvement in customer experience
A global Financial Services leader implements a real-time campaign solution that delivered a ~60% increase in campaign conversion rates.
3. Measurable and Effective Operational improvement
A global logistics provider uses an events fabric to provide real-time visibility to shipments across its wide global network.
4. In the field of IoT
A global electronic devices manufacturer used proactive event-based monitoring to reduce the number of service maintenance calls by 45%. Event streaming analytics helped to recognize patterns and prioritize responses to alerts.
5. EDA for Inter-microservices communication
A European bank used an event-driven architecture to improve its relationship with customers. A lightweight event bus-based solution helped keep applications in sync and provided a single view of customer data that enabled in streamlining the customer experience.