Data Analytics & AI for Customer Success

420.000 د.ك

Level:
Intermediate
Type:
In Person
Dates:
01/06/2025 – 03/06/2025
Times:
9:00 am – 3:00 pm
Location:
Kuwait City, KIPCO Tower (To Be Confirmed)

In stock

Prerequisites

Although no essential prerequisite is needed, participant are required, participants are requested to bring their laptop on the day and be open minded and ready to listen.

Program Overview

Unlock the power of AI in customer service analytics, leveraging AI technology to enhance customer interactions. Learn how to analyze customer data, predict behavior, and optimize service strategies for maximum impact. Stay ahead of the curve in the competitive digital landscape by mastering AI-enhanced customer service analytics.

Learning Outcomes

• Understand the role of AI in customer service analytics and its impact on business success.
• Analyze customer interactions using AI-driven data analytics techniques.
• Apply machine learning models to predict customer behavior and preferences.
• Optimize customer service strategies through AI-powered insights and automation.
• Leverage AI tools to enhance customer satisfaction and loyalty.
• Interpret real-world case studies to identify best practices in AI-driven customer service.
• Develop data-driven decision-making skills to improve service efficiency and performance.

Intended Audience

This course is designed for professionals who are looking to enhance their skills in AI-enhanced customer service analytics. Whether you are a customer service manager, analyst, or executive, this course will provide you with the knowledge and tools needed to leverage AI technology to improve customer service performance and drive business growth.

Trainer Bio

Kosmas Kosmopoulos, MBA

Kosmas has been teaching at HULT since 2004, specializing in Business
Computing and Information Systems. He is also a fractional lecturer at the
University of Westminster. Through Kognitiv Academy, he delivers seminars
and training globally, including collaborations with institutions in Greece and
China. His research interests include Management Information Systems, Global
Computing, and Mobile Learning, and he holds memberships in MIET and BCS.

For Further Information

📞 Dana Al-Enezi at +965 6699 3467

💬 Whatsapp: Chat on WhatsApp

📧 aseel@nest.edu.kw