Category: Business

Microsoft’s cloud-based platform Azure has helped many businesses expand while reducing costs associated with hosting and storing data and applications in the cloud. SNP Technologies leverages AI-based cognitive services to add intelligence, automation and search capabilities to your applications. And by adding easy to use APIs (application program interfaces), machine learning algorithms and real-time computing, SNP can help you build powerful intelligence within your applications to trigger natural and contextual interactions with features like facial recognition, speech recognition, emotion detection, and speech and language understanding.

Here are the top five most popular Azure cognitive services and how they help your business grow:

 

Vision

This is a Microsoft Cognitive Service to build custom image classifiers. Custom Vision makes it easier and faster to build, deploy and improve image classifiers with artificial intelligence and machine learning. This service features facial analysis, handwriting recognition, optical character recognition (OCR) from images and real-time video analyses.

Speech

Through Azure’s speech cognitive services API, you can integrate speech processing capabilities into any app or service. So, regardless of speech style, geography or technical term, the application allows users to recognize everything that’s spoken and transcribe the text accordingly.

Language

Language and context-based meaning are two of the most important features that define communication. Through the cognitive services language API, you can develop apps that understand a wide variety of text.

Knowledge

Azure’s cognitive services offer some of the most comprehensive and accurate database creation and search tools available. The knowledge API can leverage or create resources to be integrated into apps and services with several other capabilities. For instance, a Q&A service can be used to scan vast amounts of content and text and quickly extract the most relevant information. So, no matter the question, you’re bound to find the answers you’re seeking.

Search

Search helps users find what they need while searching through billions of web pages, videos, news search, and images. Leveraging Bing, cognitive services employ powerful AI-powered algorithms capable of searching, comparing results, and summoning only those that are relevant to your inquiry.

Microsoft Azure has a wide range of intelligent AI-powered services, each designed to accommodate various needs. Through this, you can create systems that can see, hear, speak and understand people in their own natural language and use the same communication method to relate to them.

Interested in incorporating Azure Cognitive Services into your next app? Let us assist you! Contact SNP here.

Over the past few years, Continuous Delivery, Continuous Integration, and Continuous Delivery have become a part of our daily technology vocabulary. As we continue to implement these practices into our Application Lifecycle Management (ALM) workflows, these three terminologies can be confusing.

In this post, we will define each of these processes and how they work together so that stakeholders, developers and project managers can work in alignment in one integrated environment.

Continuous Integration (CI), Continuous Delivery (CD), and Continuous Deployment (CD) are essential practices in modern software development that enhance collaboration, speed, and quality. Here’s a breakdown of the key differences between them:

Continuous Integration

Continuous Integration is the process of automating the build and testing of code every time a team member commits changes to version control. CI encourages developers to share their code and unit tests by merging their changes into a shared version control repository after every small task completion. Committing code triggers an automated build system to grab the latest code from the shared repository and to build, test, and validate the full master branch. In the continuous integration process, most of the work is done by an automated test technique, which requires a unit test framework. It is a best practice to have a build server designed specifically for performing these tests, so your development team can continue merging requests even while tests are being performed. Implementing Continuous Integration is a best practice that enhances the development workflow, improves code quality, and accelerates the overall software delivery process. By automating the build and testing phases, development teams can focus more on writing code and less on integration issues, ultimately leading to a more efficient and collaborative environment.

Continuous Delivery

Continuous Delivery is a software development practice that ensures code changes are automatically prepared for release to production. It involves delivering every change to a production-like environment, where rigorous automated testing validates that applications and services function as expected. Continuous Delivery is a vital practice in modern software development that streamlines the deployment process while ensuring high quality. By automating the delivery pipeline and conducting thorough testing, organizations can achieve a state of readiness for production at any time, empowering them to respond swiftly to business needs and market demands. This practice not only enhances efficiency but also fosters a culture of continuous improvement and collaboration within development teams.

Continuous Deployment

Every change that passes the automated tests is deployed to production automatically. Continuous deployment relies on small changes, which are constantly tested, deployed, and released to production immediately upon verification. The ownership of the code from development to release must be controlled by the developer and must be free-flowing. The automation of steps allows this process to be implemented and executed without cumbersome workflows. Post-deployment, logs must be inspected to validate whether any key metrics are affected—positively or negatively. Continuous deployment should be the goal of most companies that are not constrained by regulatory or other requirements.

Understanding these key differences is crucial for teams looking to implement effective DevOps practices. While CI focuses on integrating code and running tests, CD ensures that the software is always ready for deployment, and Continuous Deployment automates the release process. Together, these practices enable teams to deliver high-quality software quickly and efficiently.

How they work together

When you’re ready for deployment, you need to have your automation in place. Automate your continuous integration build server and continuous delivery to staging, which gives you the ability to automatically deploy to production. This means you will automate the entire process from start to finish.

 

 

For more information about Continuous Integration, Continuous Delivery, and Continuous Deployment, Contact SNP Technologies Here