Smart Grabber (SG), an innovative web-based tools, you can import complex data for the people who want to understand the meaning of the data. Business Users/Analysts will discover data preparation easier, which also makes business operation faster and more productive. Featuring a simplicity interface, yet embedded business intelligence and advanced processing; SG renders the time-consuming, complex, and error-prone process of preparing datasets of any volume into a single click activity.
Chatbot is a computer program that simulates human conversation to solve customer queries. When a customer or a lead reaches out via front end channel, MarioBot is there to welcome them and solve their problems. They can also help the customers solve their problems or connect to human agents if need be.
Large and hard-to-manage volumes of data – both structured and unstructured that impact businesses on a day-to-day basis.
It’s not just the type or amount of data that’s important, what the organizations do with the data that matters.
Big data can be analyzed for insights that improve decisions and give confidence for making strategic business moves.
Hence, it’s always worth careful consideration before launching a big data project.
Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems.
AI systems work by ingesting large amounts of labeled training data, analyzing the data for correlations and patterns, and using these patterns to make predictions about future states.
AI emphasizes on cognitive skills that includes :
Machine learning algorithms build a mathematical model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to do so.
It derives useful information from large volumes to identify patterns and learn in an iterative process.
Machine learning use cases :
Push & Preferences: Suggest and recommend products to target audiences
Fraud detection: Identify transactions that are outlier and alert you when unusual activity occurs.
Chatbots: AI-based assistant to resolve an issue online, a trained machine learning model is at work, giving responses based on your input.
Customer retention: Use machine learning models to identify customers who may are willing to spend or leave for others.
Sentiment analysis: Uses natural language processing and machine learning to understand the underlying sentiment in social media posts. Businesses can use this analysis to discover how people feel about their brand or product.
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