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
Building a Data and AI Strategy for a Data-Driven Enterprise
ONLINE LIVE STREAMING
Apr 07 - Apr 08, 2025
By: Mike Ferguson
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
Generative AI
Unlocking Business Potential using Agentic AI with LangChain and LangGraph
ONLINE LIVE STREAMING
May 15 - May 16, 2025
By: Ivan Reznikov
Upcoming Events

February 2025
Upcoming events by this speaker:
April 7-8, 2025 Online live streaming:
Building a Data and AI Strategy for a Data-Driven Enterprise
May 8-9, 2025 Online live streaming:
Practical Guidelines for Implementing a Data Product
May 19-20, 2025 Online live streaming:
Embedded Analytics, Intelligent Apps, AI Agents and AI Automation
June 16-17, 2025 Online live streaming:
Modern Data Architecture
June 19-20, 2025 Online live streaming:
AI-Assisted Active Data and AI Governance
The Last Mile in Becoming a Data-Driven Enterprise
It is fair to say that right across Europe, the last twelve months have been hard with many countries’ economies flat lining if not shrinking. It seems we are now in an era where companies, more than ever, need to maximise value from data and AI. If that is to happen, data and analytics needs to underpin every business function and mass execution of enterprise business strategy is needed to enable people at all levels to execute on a common business strategy so that decision making at every level contributes to common outcomes.
However, for most organisations, that has never been possible mainly because the majority of employees are not using BI tools to access insights to support decisions. Most surveys indicate that it is rare to see more than 30% of employees with such tools. Generative AI may help increase that with the arrival of natural language queries, but nevertheless there is still a large number of employees that don’t have access to insights. So how do you solve this? Besides, BI tools there are three main ways to maximise value from business analytics, machine learning and AI to achieve data-driven business optimisation. These are:
- Embedded analytics
- Intelligent applications
- AI automation
Embedded analytics is where a user has the ability to analyse data and make use of insights, AI-driven recommendations relevant to a specific decision or decisions while using an application to perform task(s) as part of their normal workflow. There should be no need to switch to a BI tool or another application. A good example of this is a customer service representative (CSR). CSRs have no time to switch to a BI tool to analyse data about a customer they are communicating with in their headset or via webchat. Customer insights and recommendations need to be embedded in the customer service application in use. They just have to be there at the time they are needed, and they need to change each time a CSR starts communicating with another customer.