Examples of successful cases
Netflix uses AI to personalize recommendations. The system analyzes users’ preferences, past viewing behavior, and on-platform behavior to suggest relevant content. This approach helps increase customer engagement and retention.
Shopify has implemented AI to create and optimize online stores. The system analyzes user behavior to suggest improvements in content, design, or functionality of the site, which helps increase conversions and sales.
Artificial intelligence
Errors, risks and difficulties
Common Mistakes and How to Avoid Them
Misuse of data: If the data on myanmar bulk sms packages user behavior is not accurate or complete, the AI may draw erroneous conclusions. To avoid this, it is important to ensure that the data collected is accurate and complete.
Ignoring human oversight: AI, while it has great potential, should not completely replace human intervention. It is important to remember that automated decisions may not take into account contexts and subtleties that only humans can perceive.
Overestimating AI capabilities: Many companies may expect more from AI than it can deliver at the current state of technology. It is important to start with realistic goals and not expect instant results.
Testing and optimization: Before implementing AI on a full scale, test solutions on small projects or individual website elements. This will help avoid errors and tune the system for maximum efficiency.
Continuously update data: Continuously update and improve the collected data so that the AI can work with relevant information.
Employee training: