Definitions
A
Artificial Inteligence (AI)
The simulation of human intelligence in machines, enabling them to learn, reason, and perform tasks that typically require human cognition.
Adaptive AI
AI that changes its behavior based on new data.
AI Ethics
Guidelines to ensure AI is used responsibly and fairly.
AI Governance
Rules and policies for managing AI technology.
AI Integration
Adding AI to existing business tools and software.
AI Model
A trained system that makes predictions or decisions.
Automation
The use of technology to execute repetitive tasks with minimal human intervention, improving efficiency and consistency.
A/B Testing
A method of comparing two versions of a webpage, email, or ad to determine which performs better based on user engagement.
Application Programming Interface (API)
A set of rules that allows different software systems to communicate and share data seamlessly.
Attribution Model
A framework that determines how credit for conversions is assigned to marketing touchpoints across the customer journey
C
Customer Relationship Management (CRM)
A system for managing interactions with potential and existing customers, often integrating AI for personalization.
Click-Through Rate (CTR)
The percentage of users who click on a specific link or ad after seeing it, indicating engagement levels.
Chatbot
An AI-powered virtual assistant that interacts with users through text or voice, providing customer support, recommendations, and automation.
Conversion Rate Optimization (CRO)
The process of enhancing a website or marketing funnel to increase the percentage of visitors who take a desired action.
Cybersecurity
Using AI to protect computers and data from online threats.
D
Data-Driven Marketing
The strategic use of data analytics to guide marketing decisions and personalize customer experiences.
Data Augmentation
Expanding training data to improve AI learning.
Data Mining
AI searching through large amounts of information to find useful insights.
Data Privacy
Protecting personal information when using AI.
Data Science
The field of studying data using AI tools.
Dynamic Content
Website or email content that changes based on user behavior, preferences, or demographics.
E
Email Automation
The use of AI and software to send targeted emails based on user actions, behaviors, or schedules.
Engagement Rate
A metric that measures how actively users interact with digital content, including likes, shares, and comments.
Explainable AI (XAI)
AI systems designed to explain their decisions to humans.
F
Funnel Optimization
The process of refining each stage of the customer journey to maximize conversions and retention.
Future-Proofing
Using AI to prepare businesses for changes in technology.
Forecasting
AI predicting future trends based on past data.
G
Growth Hacking
A marketing strategy that focuses on rapid experimentation and innovation to drive business growth efficiently.
Graphical User Interface (GUI)
The visual way users interact with AI, like buttons and icons.
H
Human-in-the-Loop (HITL)
AI systems that still require human guidance.
Hyperautomation
Using AI to fully automate complex business tasks.
Hybrid AI
A mix of human intelligence and AI working together.
I
Industry 4.0
The AI-driven transformation of industries with smart automation.
Intelligent Automation
AI combining human-like thinking with automation.
Intelligent Document Processing (IDP)
AI reading and organizing digital documents.
Internet of Things (IoT)
Devices connected to the internet that share data with AI.
Interactive Voice Response (IVR)
AI-powered phone menus that help callers.
Interpretability
Making AI decisions understandable for humans.
J
Job Matching AI
AI that helps find the best candidates for a job.
L
Language Modeling
AI predicting and generating text in a human-like way.
Language Processing
AI understanding and responding to human speech or text.
Lead Scoring
A method of ranking potential customers based on their likelihood to convert, using AI-driven analysis.
Low-Latency AI
AI that processes data quickly with minimal delay.
M
Machine Learning
A subset of AI that enables systems to learn and improve from data patterns without explicit programming.
Machine Learning Operations (MLOps)
The process of maintaining and improving AI models.
Marketing Automation
The use of software and AI to automate marketing tasks, such as email campaigns, social media posting, and lead nurturing.
Model Training
The process of teaching AI how to make predictions.
Multi-Agent AI
Multiple AI systems working together to complete a task.
N
Natural Language Processing (NLP)
AI’s ability to understand and communicate in human language.
Neural Network
AI modeled after the human brain to solve problems.
Neuro-Symbolic AI
A combination of neural networks and rule-based logic.
O
Optimization
AI improving systems or processes for better performance.
Optical Character Recognition (OCR)
AI that reads and converts printed or handwritten text into digital form.
On-Device AI
AI that runs directly on a device instead of the cloud.
P
Pay-Per-Click (PPC)
A digital advertising model where advertisers pay a fee each time their ad is clicked.
Predictive Analytics
AI using past data to predict future outcomes.
Process Mining
AI analyzing workflows to improve efficiency.
Q
Quantum AI
AI that uses quantum computing for faster and smarter decision-making.
R
Retargeting (Remarketing)
A strategy that displays ads to users who have previously interacted with a brand, increasing conversion opportunities.
Reinforcement Learning
AI learning by trial and error, improving with feedback.
Retrieval-Augmented Generation (RAG)
AI that pulls from external knowledge sources to enhance responses.
Robotic Process Automation - RPA
The use of software bots to automate rule-based, repetitive business tasks.
S
Software as a Service (SaaS)
A cloud-based service model where users access software applications on a subscription basis, eliminating the need for local installations.
Search Engine Optimization (SEO)
The process of optimizing web content to rank higher in search engine results, increasing organic traffic.
Sentiment Analysis
AI understanding emotions in text or speech.
Supervised Learning
AI learning with guidance from humans.
U
Unsupervised Learning
AI learning patterns without human instruction.
Want to Work With Us?
Submit a request with your Name, Business, Phone Number and Email. One of our support members will reach out to you within 24 hours.
COMPANY
CUSTOMER CARE
250 Tanglewood Lane
King of Prussia, PA 19406
LEGAL
Copyright 2025. All Rights Reserved.
✉️ info@myflowsync.com
☎️ (267) 710-9347
Owned and Operated in the USA