Technology Transfer - since 1986
Leading Edge Information Technology Education
If you think education is expensive, try ignorance...
Derek Bok
Online Events
Due to time zones, events presented by American speakers will be spread over more days, and will take place in the afternoon from 2 pm to 6 pm Italian time
AI-Assisted Active Data and AI Governance
ONLINE LIVE STREAMING
Jun 19 - Jun 20, 2025
By: Mike Ferguson
Designing, developing and deploying a Microservices Architecture
ONLINE LIVE STREAMING
Jun 27, 2025
By: Sander Hoogendoorn
Introduction to Generative AI for Java Developers
ONLINE LIVE STREAMING
Oct 16 - Oct 17, 2025
By: Frank Greco
Generative AI:
Creating a LLM Chatbot for Business
ONLINE LIVE STREAMING
Oct 20, 2025
By: Ivan Reznikov
Data Quality:
a “Must” for the Business Success
ONLINE LIVE STREAMING
Oct 29 - Oct 30, 2025
By: Nigel Turner
Generative AI
Unlocking Business Potential using Agentic AI with LangChain and LangGraph
ONLINE LIVE STREAMING
Nov 05, 2025
By: Ivan Reznikov
Upcoming Events

June 2025
Upcoming events by this speaker:
June 3-4, 2025 Online live streaming:
Integrating AI into UX
Integrating AI into Enterprise Applications with a User-Centric Approach
Today’s enterprises rely on large, complex systems for everything from customer service to supply chain management. With rapid progress in Artificial Intelligence (AI), these systems can be enhanced through predictive analytics, conversational interfaces, and real-time personalization. However, deploying AI without focusing on user needs can cause low adoption, mistrust, and inefficient use of resources.
Below, we examine how a user-centric perspective drives successful AI integration. We discuss selecting suitable AI technologies, ensuring transparency, addressing enterprise-scale constraints, and building agile prototypes. You will also find guidance on harnessing data for personalization and creating a strategic roadmap for long-term impact and stakeholder support.
1. Aligning AI with user Experience
Transactional systems often feature outdated interfaces, while AI is sometimes viewed purely as a technical add-on. When AI—such as machine learning or natural language processing—is integrated into real user workflows, organizations enhance overall usability and efficiency. A user-centric approach helps identify where AI creates the most value, whether by automating repetitive tasks or providing advanced insights.
Key Considerations:
- Address Genuine Needs: Implement AI to solve tangible user challenges, not just to follow trends.
- Foster Trust: Users who understand how AI works are more likely to embrace it.
2. Evaluating AI Technologies for UX Impact
AI is not a single technology but a collection of specialized methods. Recognizing how each can improve the user experience guides proper tool selection:
- Machine Learning (ML): Identifies patterns to predict user needs or detect anomalies.
- Natural Language Processing (NLP): Powers chatbots, speech interfaces, and sentiment analysis for natural interactions.
- Computer Vision: Analyzes images or video for tasks like document scanning or defect detection.
- Predictive Analytics: Leverages past and current data to forecast trends, enhancing efficiency and cutting errors.
Focus on prototyping AI features that solve real user challenges, rather than adopting new technologies without clear benefits.