ChatGPT is not enough: How to achieve real growth with AI data analytics and agents
You will also see a real example of using AI in customer data analysis in a Slovak bank.
Why attend?
AI is not just about asking questions and finding answers. In the webinar, we will explain what MCP frameworks are, why they are key for communication between AI agents, and how they will fundamentally impact the full use of AI and automation at the enterprise level. You will learn what prerequisites need to be met for successful AI deployment at scale and what opportunities – as well as risks – AI can bring to your company.
Practical example: AI and text data extraction
In the second part of the webinar, we will present an AI solution we developed for a Slovak bank – focused on extracting text data from customer communications (calls, emails, chats, social media…). We will show how AI can effectively identify key topics, track sentiment, detect risk situations, and create new business opportunities.
Who is the webinar for?
For business leaders of mid-sized and large companies, CIOs, CTOs, CDOs, and managers who want to effectively use AI in their teams and gain a competitive advantage. The second part will be especially beneficial for leaders of customer teams, marketing, or sales.
- Explain what MCP frameworks are and why they are key to the future use of AI
- Show how connecting an AI agent with your existing systems works
- Demonstrate how to effectively use AI to identify business opportunities and predict risks
- Present a practical example of text data analysis from a real project in a bank
- Heads of production operations and operations, production managers
- Heads of IT departments, CIOs, heads/directors/managers of data and analytics who improve the software and data platform for planning
- Managers at and above the level in manufacturing, distribution, and wholesale
Speaker
Róbert Šrotýř
Chief Business Officer, EMARK
Radovan Oreský
Chief Data Officer,
EMARK
Webinar program
MCP Framework and AI agents – the foundation for practical use of AI
What MCP Framework is and how it supports the deployment of AI agents
What technical prerequisites are required for successful use of AI
What risks and opportunities AI agents bring to companies
Practical demo – AI and text data extraction
Demonstration of a real AI solution for a Slovak bank
- Analysis of customer communication (calls, emails, chats, social media)
- Alerts for risky expressions and customer dissatisfaction
- Sentiment analysis (overall and ongoing)
- Identification of cross-sell/up-sell opportunities and prediction of customer churn
Discussion and Q&A
Space for your questions and our answers