Technology Transfer - since 1986

Leading Edge Information Technology Education

If you think education is expensive, try ignorance...

Derek Bok

First Class Speakers

Our motto has always been: “Go to the source”, and this research has brought us together over the years with key figures in the history of Information Technology.

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Courses and Conferences

Our courses address the most critical topics of Information Technology.

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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

Modern Data Architecture

ONLINE LIVE STREAMING

Jun 16 - Jun 17, 2025

By: Mike Ferguson

AI-Assisted Active Data and AI Governance

ONLINE LIVE STREAMING

Jun 19 - Jun 20, 2025

By: Mike Ferguson

Chief Data Officer Master Class

ONLINE LIVE STREAMING

Jun 23 - Jun 26, 2025

By: Derek Strauss

Designing, developing and deploying a Microservices Architecture

ONLINE LIVE STREAMING

Jun 27, 2025

By: Sander Hoogendoorn

AI for the Modern Enterprise

ONLINE LIVE STREAMING

Oct 14 - Oct 15, 2025

By: Frank Greco

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

Free article of the month

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.

Continued to read…

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