Sentiment Analysis and Opinion Mining
AI-powered sentiment analysis enables a bot to go beyond words, interpreting user emotions and sentiment. This allows the bot to assess what a user feels or thi
Intent and Entity Recognition
Intent and entity recognition is a core function of modern AI applications, enabling precise classification of user inputs. This technology analyzes two critical compon
Compliance Call Recording
Financial Regulators across the globe are enacting regulation that requires the recording of mobile phone conversations of finance sector professionals, apart from the alrea
Projects with Bots and AI
The integration of bots and artificial intelligence (AI) into business processes presents immense opportunities—whether for improving customer interactions, automating workf
1. Defining Objectives and Planning
The success of an AI project starts with a clear definition of goals:
What should the bot achieve? Should it automate customer inquiries, support internal proce
2. Data Preparation and Training
The quality of a bot depends largely on the data it is trained on:
Data collection and preparation: Gather and clean data from relevant sources such as chat logs,
3. Technical Implementation and Integration
Once the data foundation is established, the technical implementation follows:
Choosing the right technology: Should generative AI be used, or are tradi
4. Monitoring and Continuous Optimization
Project completion is not the end—it marks the beginning of an ongoing optimization process:
Performance monitoring: Continuously track bot performance to
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