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Artificial Intelligence applications

Application that exhibits traits of human mind.

Learning, Analysis and Problem-solving.

Overview

The goal of AI and ML is to make a system like humans to solve complex problems and simulate human behaviour.

Compare to Human, the AI and ML-based application have incredible precision, accuracy, and speed. It is not affected by hostile environments, thus able to complete dangerous tasks, explore in space, and endure problems that would harm us.

We at SILWANA INFOTECH have been empowering businesses to automate their repetitive work, make an error-free decision, increase speed and reduce operation cost.

AI & ML Use Cases across Industries?

AI and ML allow a machine to automatically learn from past data without programming explicitly, provide intelligent insights by learning patterns from data and then can proceed autonomously on new and changing data

Education

Develop skills and testing systems which drive efficiency, personalization and streamline admin tasks. Provide intelligent insights by learning patterns from data.

Automotive

AI-based Vehicle constantly learns road rule and pass the information to the rest of the fleet, resulting in a virtual neural network of self-driving vehicles that learn as they go.

Internet of Things

AI applications for IoT enable companies to avoid unplanned downtime, increase operating efficiency, spawn new products and services, and enhance risk management etc.

Healthcare

Better data-driven decisions, increase disease diagnosis efficiency, integrate information, reduce unnecessary hospital visits and create time-saving administrative duties etc.

Gaming

AI is used to generate responsive, adaptive or intelligent behaviour primarily in non-player characters (NPCs) similar to human-like intelligence.

Finance

In the capital market, AI produces better, faster, and more accurate predictions. AI can examine investment accounts to check the financial health of individual and organization.

Data

AI reduce human error. Precision in decision making and automation in processes enhance production speed. AI and ML allow a machine to automatically learn from past data.

Bioscience

AI enhance pattern recognition and support more sophisticated data analysis for cognitive ability, memory, learning, and decision making.