Latest Software Development Trends

Change is the only constant, they say. This adage holds good more so for technology as it is ever evolving.?Sometimes, the need to change is accelerated by unforeseen circumstances like Covid-19. During this pandemic, technology has not only helped us survive the changing world but also showed us how to thrive in times of chaos through openness to flexibility, agility, and innovative thinking.?Let’s look at the top trending software development technologies that are going to rule the software industry in the near future.

Artificial Intelligence:

Previously, the word “smart” means connected to the Internet. Smart TVs, smartphones, and other smart devices are all the same old devices but connected to the Internet. But today, “smart” increasingly means powered by AI. These smart devices powered by AI can help us in innovative ways. From unlocking your phone using face detection, to helping us take better pictures AI can now detect, using facial recognition algorithms, whether you are paying attention while driving your smart car and alert you when you are tired. We all know how AI played a major role in vaccine development and trials. Now businesses are thinking about how to harness this technology to operationalize AI models for their businesses. Making an AI model for a business and running the same on the production requires continuous evolution with new data sets, and new business use cases pouring in and this is where AI Engineering comes in.?AI Engineering focuses on developing tools, systems, and processes to enable the application of AI in real-world contexts.

Robotic Process Automation (RPA) and Machine Learning are two sections of AI. RPA is a business process automation that can handle tedious, repetitive manual tasks with utmost accuracy and speed.?RPA uses business logic and a predefined set of rules to complete autonomous execution of a set of processes, activities, transactions, and tasks across various software systems to deliver the desired result without the intervention of a human.?Examples of RPA include call centre operations, data migration/data entry and forms processing, scheduling systems, and expense management.?Machine Learning is broadly defined as the capability of a machine to learn and adapt without following explicit instructions but to draw inferences from patterns of data using algorithms and statistical data. Examples of Machine Learning include image and speech recognition, medical diagnosis, and predictive analytics.

Whatever your industry or job function, you are likely to find that there are AI-powered solutions planned to make your life easier. So, AI is here to stay and evolve!?

?Blockchain:

Blocks of data chained together is a blockchain in simple terms. Before understanding the concept of blockchain, let’s look at a scenario where you took a huge loan from a bank with the malicious intent of not paying it back. You go to the system administrator who maintains the centralized bank server, bribes him and he can make your loan vanish without anyone knowing, at least for a period till the bank does an audit by which time it may be too late. This vulnerability arises because the data is in one place and there is a single entity who manages it and can manipulate it. blockchain is the answer to combat such vulnerabilities. blockchain is a system of recording information in small blocks which are chained or connected to all the entities involved making it impossible to change, hack or cheat the system. blockchain is a digital ledger of transactions that is replicated and distributed across the entire network of computers that exists in the blockchain.?Each block in the chain contains diverse transactions, and every time a new transaction turn out on the blockchain, a record of that transaction is added to every participant’s ledger with an immutable cryptographic signature called the hash. Since the data is decentralized and distributed across all the participants, data is never lost robotic.

Now, let’s look at how transactions happen in a blockchain. When a transaction is requested from an authorized participant, a block that represents the specific transaction or data is created. The block is then delivered to every node in the network. Authorized nodes double check the transaction and add the block to the current blockchain. These authorized nodes are called miners and the task of verifying the transaction is called Proof of Work.?Once the new block is added to the blockchain, the update is distributed across the network and the transaction is then complete.

You might have heard about blockchain mostly associated with cryptocurrency, bitcoin. But blockchain technology has far more reach.?Because of the trust it offers, decentralized structure, improved security, and privacy, reduced costs, speed, visibility and traceability, immutability, blockchain technology can be applied to varied fields such as money transfers, financial exchanges, lending, insurance, real estate, logistics & supply chain tracking.

This is one technology that you can look forward to in the near future that will be adopted in every field of business.

Cloud-Native Platforms:

What’s the need of using a cloud-native platform when the businesses are already using the cloud??Cloud adoption is like a lift and shift where a monolithic application on-prem (on-premises) is lifted and shifted to a cloud. The disadvantage of this is the time taken to migrate the monolithic application to a cloud is very large and the complexity that comes with the monolithic applications are very high. Also, because the software is built on a legacy platform, it is not that flexible even after shifting the same to the cloud.?Cloud-native applications are the one that has been based on the cloud as opposed to the one that was re-architected to run in the cloud. If an application is cloud-native, that means it’s been built with the technologies and services that also have been built on the cloud. These technologies are more agile and flexible than the traditional ones and can be consistently tuned and optimized as required. Also, cloud-native applications allow DevOps teams to deliver new tools and services more rapidly and these can be realigned, reconfigured, and customized faster and easier than ever. Cloud-native applications are much more in control of their environments than traditional applications. Traditional applications rely on an operating system and assume that the server has the correct drivers, system configuration, dependent application, and necessary resources to run an application without failure. In a cloud-native application, their environment is dictated by interacting directly with the cloud or infrastructure provider through an API. Instead of being installed on a server and OS, cloud-native applications run on a cloud infrastructure and call the required infrastructure as a part of its code.

The cloud-native application platform provides coherent development and automated management experience across public, private, and hybrid clouds. The benefits of cloud-native platforms include the faster release of new versions, ease of management, reduced costs, reliable system, scalability, and auto-provisioning.?

No matter what the business is, you need to adopt all the above ABCs i.e., Artificial Intelligence, Blockchain, and Cloud-Native Platforms to stay ahead and on top!

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