IT AND TELECOM
The telecom and IT industry have been constantly changing in terms of technology advancements and competition. The unpredictable nature of the telecom marketplace and the high subscriber churn rate have compelled many telecom providers to become more responsive and integrate robust customer experience management tools in their business systems. The use of a voice assistant application is an effective way for telecom operators to serve their customers by providing accurate information and real-time resolutions to customer concerns. Voice assistant applications enable service providers to deflect general and simple queries, which account for a major portion of the customer calls to the voice channels. Additionally, voice assistant reduces the burden on the support teams and enables them to focus more on the complex issues faced by the end-users. Moreover, the deployment of virtual assistant for business applications also enables the companies to reduce their support and operational costs. Voice assistant application in the telecom sector has created a self-service experience for both the customers and the employees while delivering enhanced business outcomes.IT companies are leveraging the capabilities of the voice assistant to improve workforce productivity and streamline business process. Enterprises are integrating voice assistant on enterprises software, such as CRM, content collaboration, meeting solution, and sales. Using voice assistant, IT sector employees can minimize the repetitive task resulting in increased workforce productivity. Businesses are utilizing voice assistant on enterprises tool to increase workforce collaboration, improve customer experience, and drive business revenue.Voice Assistant Application Startups in IT and Telecom
A.ware is an innovative AI Platform with deep domain knowledge to build Intelligent chatbots for enterprises. The platform is built on six different engines that use innovative core concepts- Advanced NLP, Context, Actionization, Learning, Conversations, Analytics & Insights. The platform is flexible and versatile enough that works across a range of locations - cloud, on-premise or even a hybrid of the two. It is embedded with various pre-built connectors to different channels. Moreover, the platform allows to build generative model smart bots with deep learning capabilities that minimize the need for human management over time.
Voicea is a voice association platform supported by an Enterprise Voice Assistant named EVA. EVA is an AI that accepts commands, completes actions and captures highlights in meetings to share them and create actionable recaps. Using EVA on conference lines, on calls, or in-person, Voicea helps to focus on the conversation knowing EVA will capture and share whatever is highlighted. The platform ensures to turn talk into an action. Moreover, it accepts Voice Commands to create reminders, tasks, answer questions and provide meeting recaps.
Kore.ai’s AI and NLP teams have both depth and breadth of Industry experience in designing and implementing multiple complex Chabot projects across Enterprises. This ensures a successful implementation, irrespective of how complex the use cases are. They assist and guide their enterprise clients on how to incorporate chatbots as part of an overall digital strategy. As part of the development and implementation services, they help users design architecture for conversational applications. Their managed services include ongoing maintenance and enhancements, QA, analytics and dashboard-based reporting for management of the chatbot infrastructure.
Rasa is an open source machine learning framework for building contextual AI assistants and chatbots. Rasa has two main modules- NLU for understanding user messages and Core for holding conversations and deciding what to do next. Rasa X is a tool that helps to build, improve, and deploy AI Assistants that are powered by the Rasa framework. Rasa X includes a user interface and a REST API.
Bubblez is capable to handle the sporadic text messaging and the massive volumes involved for large enterprises to handle messaging with “standard” help desk / CRM desktop applications. It also deals with high volume of casual texts and asynchronous discussions that can last days. Moreover, Bubblez is quite capable to tell when the next message from the customer will arrive and what is the context.
Orbita Voice platform controls solutions that increase operational efficiencies and improve consumer, patient and member experiences to enhance remote patient monitoring, population health, customer service, member wellness, clinical trials and more. The company's award-winning, HIPAA-compliant platform for voice and chatbot applications in healthcare unveiled a trio of enhancements that significantly expand the capabilities of Orbita Voice.
The Platform can be used to build AI enabled chatbots that enable a conversational interface with systems—both Text and Voice. It can be integrated with Natural Language Processing (NLP) engine enhanced by additional customizations, open source Machine Learning/AI technology, and a Visual Conversation (Dialog) Builder. Moreover, Chyme has built-in algorithms to recognize and score knowledgebase search results and improve user experience. Chyme Platform includes multiple intelligent bots like IT Help Desk Assistant, Sales Assistant, Customer Services Assistant, SAP Assistant, etc. Chyme enables a Conversational Interface (Chatbots) with systems like SAP, Salesforce, Oracle, ServiceNow, and others to Simplify Work.
Mycroft Mark II is designed with an array of six individual microphones capable of detecting where the user is speaking from. A 10-watt speaker with dual two-inch full-range drivers capable to fill the space with your music, or at least make its voice heard across the room. Mark II is in-built with a 4-inch LCD panel that can be used to display information, graphics, or a friendly face. As it’s an open source it is modifiable, open to scrutiny and audit, and unencumbered by patents and other ugly legal hindrances to a vibrant community-developed platform.
