Skip to main content

Communication platform as a service


Communications platform as a service (CPaaS) is a cloud-based delivery model that allows organizations to add real-time communication capabilities such as voice, video and messaging to business applications by deploying application program interfaces (APIs). The communication capabilities delivered by APIs include Short Message Service (SMS), Multimedia Messaging Service (MMS), telephony and video. Communication services can be embedded into business applications, such as sales software, to add features such as notifications, click-to-call and multifactor authentication.

CPaaS is deployed by organizations that want to embed communications in their business applications, as well as cloud service providers and developers looking to add communications capabilities to their applications and services. The platforms include standards-based APIs, comprehensive software developer's kits, and Java or .NET libraries for building applications on various platforms. CPaaS providers can also offer bundles that provide pre-packaged, fully functional communication features that can be dropped into applications. CPaaS is typically billed on a monthly basis at a fixed rate for blocks of messages or minutes. Some CPaaS providers offer a pay-per-call, per-video or per-message billing model.

CPaaS offers organizations a faster and lower-cost alternative to communication-enable applications rather than developing their own custom applications. Early CPaaS deployments have focused on applications in telehealth, field services, education, customer service and social media. The CPaaS market was originally driven by startups, such as Twilio, TokBox and Plivo, which offer APIs for embedding communications. Legacy unified communications vendors have entered the market with new services, including Genband's Kandy and Avaya's Breeze. Other vendors have acquired startups, such as Cisco acquiring Tropo and Vonage acquiring Nexmo.

Comments

Popular posts from this blog

Understanding the Evolution: AI, ML, Deep Learning, and Gen AI

In the ever-evolving landscape of artificial intelligence (AI) and machine learning (ML), one of the most intriguing advancements is the emergence of General AI (Gen AI). To grasp its significance, it's essential to first distinguish between these interconnected but distinct technologies. AI, ML, and Deep Learning: The Building Blocks Artificial Intelligence refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. Machine Learning, a subset of AI, empowers machines to learn from data and improve over time without explicit programming. Deep Learning, a specialized subset of ML, involves neural networks with many layers (hence "deep"), capable of learning intricate patterns from vast amounts of data. Enter General AI (Gen AI): Unraveling the Next Frontier Unlike traditional AI systems that excel in specific tasks (narrow AI), General AI aims to replicate human cognitive abilities across various domains. I...

Normalization of Database

Database Normalisation is a technique of organizing the data in the database. Normalization is a systematic approach of decomposing tables to eliminate data redundancy and undesirable characteristics like Insertion, Update and Deletion Anamolies. It is a multi-step process that puts data into tabular form by removing duplicated data from the relation tables. Normalization is used for mainly two purpose, Eliminating reduntant(useless) data. Ensuring data dependencies make sense i.e data is logically stored. Problem Without Normalization Without Normalization, it becomes difficult to handle and update the database, without facing data loss. Insertion, Updation and Deletion Anamolies are very frequent if Database is not Normalized. To understand these anomalies let us take an example of  Student  table. S_id S_Name S_Address Subject_opted 401 Adam Noida Bio 402 Alex Panipat Maths 403 Stuart Jammu Maths 404 Adam Noida Physics Updation Anamoly :  To upda...

How to deal with a toxic working environment

Handling a toxic working environment can be challenging, but there are steps you can take to address the situation and improve your experience at work: Recognize the Signs : Identify the specific behaviors or situations that contribute to the toxicity in your workplace. This could include bullying, harassment, micromanagement, negativity, or lack of support from management. Maintain Boundaries : Set boundaries to protect your mental and emotional well-being. This may involve limiting interactions with toxic individuals, avoiding gossip or negative conversations, and prioritizing self-care outside of work. Seek Support : Reach out to trusted colleagues, friends, or family members for support and advice. Sharing your experiences with others can help you feel less isolated and provide perspective on the situation. Document Incidents : Keep a record of any incidents or behaviors that contribute to the toxic environment, including dates, times, and specific details. This documentation may b...