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

Data Governance
A Practical Guide

ONLINE LIVE STREAMING

Apr 03 - Apr 04, 2025

By: Nigel Turner

Building a Data and AI Strategy for a Data-Driven Enterprise

ONLINE LIVE STREAMING

Apr 07 - Apr 08, 2025

By: Mike Ferguson

AI for the Modern Enterprise

ONLINE LIVE STREAMING

Apr 14 - Apr 15, 2025

By: Frank Greco

Introduction to Generative AI for Java Developers

ONLINE LIVE STREAMING

Apr 16 - Apr 17, 2025

By: Frank Greco

Generative AI:
Creating a LLM Chatbot for Business

ONLINE LIVE STREAMING

Apr 28 - Apr 29, 2025

By: Ivan Reznikov

Artificial Intelligence, Machine Learning and Data Management

ONLINE LIVE STREAMING

May 05 - May 06, 2025

By: Derek Strauss

Practical Guidelines for Implementing Data Products

ONLINE LIVE STREAMING

May 08 - May 09, 2025

By: Mike Ferguson

Data Stewardship

ONLINE LIVE STREAMING

May 12, 2025

By: Nigel Turner

Generative AI
Unlocking Business Potential using Agentic AI with LangChain and LangGraph

ONLINE LIVE STREAMING

May 15 - May 16, 2025

By: Ivan Reznikov

Free article of the month

March 2025

Upcoming events by this speaker:

April 14-15, 2025 Online live streaming:
AI for the Modern Enterprise

April 16-17, 2025 Online live streaming:
Introduction to Generative AI for Java Developers

AI for the Busy Executive
What Every Business Leader Needs to Know

Since the release of OpenAI’s ChatGPT in November 2022, Artificial Intelligence (AI) has captivated global audiences. Terms like “Generative AI (GenAI)” and “Large Language Models (LLMs)” have become prevalent in business circles, with promises of improving productivity, optimizing operations, fostering creativity, and reducing costs.

However, as an AI consultant and educator, I’ve noticed a significant gap in understanding these tools among technical and non-technical leaders. Even seasoned professionals such as CTOs, medical experts, senior legal partners, and educators often mischaracterize GenAI as a sophisticated search engine or a magical fountain of knowledge.

This misunderstanding often leads to frustration. Leaders experimenting with tools like OpenAI’s ChatGPT, Anthropic’s Claude, or Google’s Gemini enter search-style queries, receive unexpected responses, and dismiss the technology as flawed or irrelevant. Yet, this view underestimates AI’s transformative potential. AI is reshaping industries, but for many executives, its complexity can seem intimidating, especially when contrasted with traditional deterministic IT systems.

The Transition to Probabilistic IT Systems

For decades, businesses relied on deterministic IT systems, where the same input always produces the same output. AI, especially GenAI models, operates probabilistically, generating a range of potential outputs for a given input. While probabilistic systems are familiar in areas like financial modeling, risk assessment, and weather forecasting, they can feel foreign to industries accustomed to predictability.

Adopting AI demands more than technical integration. It requires bridging probabilistic AI with deterministic systems and fostering a cultural shift to embrace this dynamic technology. To unlock AI’s potential, executives must understand this new paradigm.

Continued to read…

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