0-9
A
- Ad Campaign Optimization
- Agile Development
- Agile Project Management
- AI Analytics
- AI assistant
- AI Chat Assistant
- AI Chatbot for Banking
- AI Conversational Commerce
- AI customer experience
- AI driven engineering
- AI driven software testing
- AI in hiring
- AI in quality assurance
- AI in recruiting
- AI legal assistant
- AI Marketing
- AI Powered Chatbot
- AI software development
- AI Voice Assistant
- AI-Powered Engineering
- API Automation Testing
- API Testing Solutions
- Application Development
- Application Management
- Application Modernization
- Application Programming Interface (API)
- Application Transformation
- Applied Artificial Intelligence
- Artificial Intelligence (AI)
- Assurance Engineering
- Augmented Reality (AR)
- Automated Machine Learning
- Automation Solutions
C
- Chatbot For Legal Services
- Chatbots
- Cloud
- Cloud Automation
- Cloud Consulting
- Cloud Data Platform Solutions
- Cloud Data Services
- Cloud Data Warehouse
- Cloud Deployment
- Cloud Enablement
- Cloud Engineering
- Cloud Infrastructure
- Cloud Integration
- Cloud Managed Services
- Cloud Management
- Cloud Migration Solutions
- Cloud Operations
- Cloud Optimization
- Cloud Security
- Cognitive Automation
- Computer Vision
- Conversational AI
- Conversational AI
- Conversational AI Agent
- Conversational AI Analytics
- Conversational AI Assistant
- Conversational AI Chatbot
- Conversational AI Chatbot
- Conversational AI Commerce
- Conversational AI Experience
- Conversational AI Platform
- Conversational AI solutions
- Conversational Analytics
- Conversational Customer Experience
- Core Modernization
- Cross Platform Development
- Custom Software Development
- Customer Experience (CX)
- Customer Experience Solutions
- Customer Intelligence
- Customer Support Chat Agent
- Cyber Security
- Cyber Threat Response
- Cybersecurity Awareness
- Cybersecurity Awareness Training
- Cybersecurity Management
- Cybersecurity Solutions
- Cybersecurity Threat Detection
D
- Data
- Data Analytics
- Data Analytics Insights
- Data Analytics Solutions
- Data Automation
- Data Ecosystem
- Data Encryption
- Data Engineering
- Data Governance
- Data Hygiene
- Data Management
- Data Management Solution
- Data Migration
- Data Mining
- Data Platform
- Data Privacy
- Data Quality Management
- Data Reporting Solutions
- Data Science
- Data Security Solutions
- Data Transformation
- Data Visualization
- Deep Learning
- Desktop as a Service
- Desktop Automation
- DevOps
- DevSecOps
- DevSecOps Implementation
- Digital Banking
- Digital Business
- Digital Corporate Banking
- Digital Engineering
- Digital Experience Platform
- Digital Operations
- Digital Platform
- Digital Product Development
- Digital Product Development Process
- Digital Product Development Services
- Digital Retail Banking
- Digital Systems and Technology
- Digital Transformation
I
- Industrial IoT (IIoT)
- Industry 4.0
- Infrastructure Engineering Services
- Innovation Product Design
- Innovation Product Development
- Intelligent Automation
- Intelligent Process Automation (IPA)
- Internet of Things (IoT)
- Internet of Things Platform
- Internet of Things Strategy
- IT Infrastructure
- IT/OT Convergence
K
S
- Salesforce
- Salesforce Lexi
- Salesforce Org Health Assessment
- Salesforce Tuner
- Security Testing
- Self-Service Visual Analytics
- Service Desk
- ServiceNow
- ServiceNow Testing
- Site Reliability Engineering
- Software Development
- Software Testing
- Software Testing Solutions
- Source Code Summarization
- Structured Data
W
Natural Language Processing (NLP)
The primary aim of Natural Language Processing (NLP) is to create algorithms and models that can analyze, process, and generate human language efficiently and effectively. NLP is a sub-vertical of artificial intelligence that enables machines to understand, interpret and generate human understandable language.
NLP is used in a wide range of applications, from voice assistants and chatbots to language translation and sentiment analysis. Some standard techniques used in NLP include machine learning, deep learning, and natural language generation.
One key challenge in NLP is the variability and complexity of human language. Languages can vary significantly in terms of syntax, grammar, and vocabulary, making it challenging to create algorithms that can accurately analyze and understand language in all its forms. NLP has numerous practical applications across a wide range of industries like healthcare, finance, etc.
NLP is a rapidly evolving field that can transform many aspects of our lives. As NLP technology continues to advance, we can expect to see more innovative and creative applications of this technology in a wide range of industries and contexts.
Apr 2024 
5 Min read
