AI ML Solutions being the special ingredient of digital-first strategy is the key enabler for digital operating models. These models are creating unicorns and transforming established businesses into digital powerhouses. Gone are the days of achieving operational excellence through just human intelligence. AI-augmented and AI-driven decisions are helping companies adapt and scale at lightning speeds; they are becoming decision factories. Customers expect Computed User Experiences, which are nimble-witted, like a smart human. Embedded Systems need to interact with users in more natural ways using technologies like Sensor Fusion .
We strive to provide a digital experience to you through advanced AI, enabling you to be the best in business. We offer innovative Artificial Intelligence solutions through our most advanced AI technologies automating and digitizing your day-to-day operations. We help rearchitect digital processes, the confluence of data, and algorithms to break silos. The journey starts with Data Discovery, building next-generation data platforms, and then incorporating algorithms to create Systems of Intelligence. Xavor has a team of certified professionals with certifications in all the major platforms like Google, Amazon, and Azure. We also have a team of world-class advisors who run major AI research centers across the globe.
At Xavor, AI is in the front seat – leading our innovation across the globe.
Silos of data and disintegrated systems are the significant obstacles in uncovering hidden knowledge. Cultivating the potential of untapped data requires a deeper understanding of data, its organization, semantics, patterns, and flows. Xavor’s Data Discovery process helps companies gain deeper insights into their data assets. It’s the first step in fully harnessing an organization’s data for making critical business decisions.
Instead of just acting as an underlying technology, AI/ML solutions are defining new models of user engagement. At Xavor, we incorporate AI to make the design platforms more personalized while ensuring more intuitive interaction with users.
Xavor provides operating models where algorithms make up the critical components of overall business value. Through our AI-driven operating models, we are rearchitecting organizations, changing the way you use data and makes decisions, and making the value curve increase more rapidly by removing traditional bottlenecks.
Xavor specializes in developing enterprise-grade conversational AI assistants using Azure Bot and Azure Cognitive Services on Microsoft Teams Channel, Android Devices, and Web Applications. These AI assistants can interpret both voice and textual responses either in the form of media attachments or rich card attachments.
We design the Bot to communicate as humanly as possible using appropriate training data for intent and entities, keeping the context of the conversation in memory.
The data collected during customer interactions provides vital insights that help share the consumer journey. Businesses can measure satisfaction level, sentiment, and other metrics using custom modeling with the Azure Bot.
Xavor AI team has created LUIS applications and trained relevant models to understand and extract the user’s intent during a conversation. The service derives essential information obtained from natural text, which is employed to understand the user’s mood and deviate from the normal course of action to cater to mood changes. The trained LUIS applications are integrated with Azure Bot Service for context–aware conversation-based interfaces.
Wake–up words serve as the entry point for most user-initiated conversations. We can train custom models for activating the AI assistants to explicitly request the Bot’s attention using a spoken word or phrase.
Our implemented AI ML solutions based chatbot systems have been designed to communicate with the user using Azure’s neural text to speech services while transcribing audio to text with remarkable accuracy.
Xavor uses Text Analytics to leverage state-of-the-art NLP techniques within various systems.
Key Phrase and Entity extraction is frequently used within our AI assistants to identify the intent of sentences communicated by the user and serve them back in the most natural way possible. Entity extraction helps organizations collect information to drive our systems and proactively store valuable data personalized to each user.
Azure NLU services for sentiment analysis and opinion mining is being leveraged within our AI assistants to change the course of action during the conversation and understand the user’s behavior and mood to better cater to their needs. The service is customized to serve as a personal mood driver for our various deployed systems.
Xavor has incorporated Microsoft QnA Service to build a bot based on existing data (knowledge base) around empathetic chitchat. The Bot carries regular communication with the elderly in care homes to cater to their basic needs. The QnA-based Bot offers a helping hand to see, hear, and interpret more humanly.
The QnA Bot can be deployed as a standalone service incorporating LUIS and speech services to provide web search, small talk, weather information, etc. It also offers graceful fallbacks and hand-offs capability if the user’s question is not found in the QnA knowledge base.
We have the capabilities of designing human analytics software using Face API. Such applications can detect and track humans in Robotics and Surveillance applications.
Our team has implemented End to end access control systems that can be designed using the Facial Recognition API.
Xavor implemented Azure Face API to extract users’ age, gender, and emotions. Based on these data points, Xavor designed the system to reduce error rates on facial recognition for men and women of Asian ethnicity and brown complexion.
The Azure Face service can recognize the elderly’s emotions while interacting with the robot. Based on this, we analyzed the correlation between facial emotions and the likelihood of the user having a stressful day. These capabilities can be used to change the course of conversations and suggest possible insights and validation to improve their current health state. The application is deployed on a robotic system designed for elderly care.
Azure Databricks enables processing, transforming, and exploring an enormous volume of data. The system is designed in Python to identify suitable hyperparameters and algorithms to perform ETL processes, data transformations, and ML modeling. These measures enable DevOps for ML to simplify monitoring, management, and updating of ML models.
The product is successfully integrated with the Azure Data Lake Store and Blob Storage to retrieve and update data. Additional MongoDB database is built to cater to separate data points and logs for each user while establishing enterprise-grade compliance and security for the system.
The service is frequently used as a central registry for in-house ML experiments, pipeline creation, and complex modeling.
Xavor has successfully deployed end-to-end voice-enabled Bot in English and Chinese, leveraging the latest NLP and NLU techniques using Azure Cognitive and Bot Framework Services.
The application learns the patterns, extracts the hidden intent in the sentences, and performs Keyword Extraction using Azure LUIS. It communicates seamlessly in a life-like neural voice, with a custom wake-up word activation and minimum response delay. The Bot’s design revolves around CBT (Cognitive Behavioral Therapy) that serves as a sympathetic caregiver for the elderly while relying on Azure Text Analytics Service to identify the user’s sentiment and opinions while changing its course of action based on Key Phrase and Entity Extraction.
The AI ML solutions has been deployed on a custom Android device and Microsoft Teams Channel provisioning to interact using voice or text as per user’s ease. The system is also supported by an existing knowledge base collected through various care homes to train a QnA model and the context-aware conversational assistant. An online learning mechanism in place helps the Bot to improve over time.
Bot Framework, LUIS, Face Service, QnA Maker, Data Bricks, PySpark
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