IT Support with AI: Practical Strategies for IT Support Specialists

Zero-Day Attack

A cyber attack that exploits previously unknown software vulnerabilities

Machine Learning

A subset of AI that enables systems to learn from data and improve over time without human intervention

Anomaly Detection

AI-based identification of unusual patterns that may indicate issues

Error Detection

AI-driven identification of system faults and failures

Predictive Maintenance

AI-driven monitoring that detects system anomalies before failures occur

Chatbots

AI-powered virtual assistants that handle IT requests and provide automated responses

AI-Driven Insights

Actionable information generated by AI through data analysis

Password Reset

Allowing users to securely change or recover their passwords

Microsoft Copilot

An AI assistant that enhances productivity in IT environments

Natural Language Processing

An AI capability that enables machines to understand and respond to human language

IBM Watson

An AI platform used for IT operations, analytics, and automation

Virtual Assistant

An AI-driven tool that interacts with users to resolve common IT issues

ServiceNow

An IT service management platform that uses AI to automate workflows

Ticketing System

An IT system that tracks and manages support requests

Phishing

An online scam that tricks users into revealing sensitive information

Knowledge Base

An organized repository of IT solutions and troubleshooting guides

Patch Management

Applying updates to software and systems to fix security vulnerabilities

AI

Artificial Intelligence refers to computer systems that can perform tasks that typically require human intelligence

Threat Intelligence

Data and analysis used to anticipate and respond to cyber threats

Network Latency

Delays in data transmission affecting system performance

Cloud Computing

Delivering IT services over the internet rather than on local servers

Server Optimization

Enhancing server performance through AI-driven insights

Business Continuity

Ensuring IT services remain operational during disruptions

Security Compliance

Ensuring IT systems meet regulatory and security standards

Data Analysis

Examining raw data to extract useful insights

ITSM

IT Service Management - a framework for delivering IT services efficiently.

Root Cause Analysis

Identifying the primary reason behind an IT issue

Big Data

Large volumes of data that require AI and advanced analytics for processing

AI-Powered Alerts

Notifications triggered by AI detecting potential IT issues

Incident Management

Processes for responding to and resolving IT issues

Cloud Security

Protecting cloud-based data and applications from cyber threats

Endpoint Security

Protecting individual devices such as computers and smartphones from security threats

Remote IT Support

Providing IT assistance to users in different locations

IT Support

Providing technical assistance to users experiencing hardware or software issues

System Logs

Records of events occurring within IT systems used for diagnostics

User Experience

The overall experience a user has when interacting with IT support systems

Cybersecurity

The practice of protecting computer systems from digital threats

Troubleshooting

The process of diagnosing and resolving technical issues

Automation

The process of using technology to perform tasks without human assistance

Network Monitoring

Tracking and analyzing network activity to ensure performance and security

Workflow Automation

Using AI to automate repetitive IT processes

Proactive IT Support

Using AI to prevent IT issues before they occur

Help Desk

An IT service center that provides user support

Multi-Factor Authentication

An extra layer of security requiring multiple forms of verification for access

Data Breach

An incident where sensitive information is accessed without authorization

Self-Service Portal

An online platform where users can troubleshoot and resolve IT issues without IT intervention

Downtime

Periods when IT services are unavailable due to technical issues

Disaster Recovery

Strategies for restoring IT operations after system failures

Scalability

The ability of IT systems to handle growing workloads efficiently

Log Analysis

Using AI to examine IT logs for error detection and performance monitoring