Conversational AI is a ‘brain’ that enables computers to understand, process, and respond to voice or text inputs in natural ways, and is typically used in conjunction with bots or virtual agents. It can communicate just like human beings by recognizing speech and text, understanding intent, decoding languages, and responding in a way that imitates human conversation. We have advanced from a world where people had to be learned about and adapt to computers, to one where computers are learning how to interact with people. Microsoft comes with Azure Bot Service and Bot Framework to help develop conversational experiences in applications.
Since its inception, Microsoft Azure has seen a tremendous transformation in the way it provides cutting-edge Cloud services.
A survey by Gartner predicts that cloud computing will be a whopping $300 billion business by 2021. The concept has gained a lot of traction in the last few years with enterprises across industries and geographies leveraging the power of the cloud.
The software development world is evolving continually. The advent of new technologies has radically impacted the world of software development. Among the various technologies, cloud-based services have had a tremendous impact on the software development process.
When Microsoft announced it is transitioning from Azure Mobile Services to Azure App Service, it was a huge move for this giant corporation. However, with the option of letting Microsoft make the move automatically for you, there is no harm in being proactive about the sequences to follow when migrating.
An architecture style can be defined as a family of architectures that share some common characteristics. The right architecture is a critical aspect of any systems development process. Although an architecture should be independent of any specific technology, certain technologies may greatly facilitate the implementation of certain architectures. In this article, we will look at some architecture styles commonly used in cloud applications.
Back in early days software was developed as a single unit constructed from a mishmash of custom technologies that were clubbed together. As can be imagined, with the addition of more features, it started becoming more complicated with a codebase that steadily grew bigger and harder to work with. Microservices break apart this model into a set of small, discrete and most importantly, independent processes, helping developers improve the software faster and more efficiently.
The Internet of Things or IoT has opened various new avenues for the intersection of technology, connectivity, and everything in between. It has extended internet connectivity to physical devices and everyday objects, giving you the power to control them remotely. It relies on the principles of electronics and communication and uses hardware such as sensors to enable connectivity and interaction over the internet. Apple, Amazon, Google, and a number of organizations around the world are using IoT to bring forth innovative changes. At the same time, there are many organizations that are looking to deploy IoT in their products and services.
As a data science technique that permits predictive analysis, machine learning has brought about a major change in the way most organizations function. It has streamlined a wide array of computing processes and operations by employing data as the basic foundation upon which the success of various production systems can be built. Be it the evaluation of patterns, the discovery of trends, the measurement of outcomes, or the forecast of behaviors - machine learning has allowed business apps and devices to become smarter, without being limited by the need for extensive technical programming.
The systems, applications, and products in data processing software, commonly known as SAP, has brought about a complete transformation in the way most organizations manage their ERP ecosystems. By providing an efficient platform to integrate various business processes and information flows, SAP has permitted collaborative management, enhanced productivity, and effective resource use within its comprehensive framework.