Technology Transfer - since 1986
Leading Edge Information Technology Education
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
Designing, developing and deploying a Microservices Architecture
ONLINE LIVE STREAMING
Apr 12, 2024
By: Sander Hoogendoorn
Practical Guidelines for Implementing a Data Mesh
ONLINE LIVE STREAMING
Apr 15 - Apr 16, 2024
By: Mike Ferguson
Embedded Analytics, Intelligent Apps & AI Automation
ONLINE LIVE STREAMING
Apr 17, 2024
By: Mike Ferguson
Artificial Intelligence, Machine Learning and Data Management
ONLINE LIVE STREAMING
Apr 18 - Apr 19, 2024
By: Derek Strauss
Introduction to Generative AI for Java Developers
ONLINE LIVE STREAMING
May 13 - May 14, 2024
By: Frank Greco
Building a Competitive Data Strategy for a Data-Driven Enterprise
ONLINE LIVE STREAMING
May 17, 2024
By: Mike Ferguson
Upcoming Events
March 2024
Upcoming events by this speaker:
May 13-14, 2024 Online live streaming:
Introduction to Generative AI for Java Developers
Generative AI and Enterprise Java Developers
(first part)
In the rapidly changing field of software development, it’s crucial for developers to stay ahead of the curve for success. Certainly, seasoned Java developers keep track of each regular release to grasp the use of the advanced capabilities in this continuously evolving programming language.
The advent of Generative AI has now added a new layer of complexity for Java engineers. They must understand how to assimilate this critical innovation into their development workflows where it makes sense. This integration introduces a powerful and transformative dimension to the overall software development process.
Why Generative AI Matters in Java Development
Before integrating Generative AI into your software development process, Java developers need to understand the foundations of generative AI. There are foundation concepts such as Artificial Intelligence, Machine Learning, Deep Learning, Predictive AI, and Generative AI that all Java software engineers must understand first.
Artificial Intelligence (AI), simply put, is the simulation of human intelligence in machines that are programmed to think and learn like humans. AI uses algorithms and specialized hardware to enable machines to perform tasks that typically require human intelligence. These tasks include problem-solving, learning, perception, language understanding, and decision-making. AI is not a new technology; it has a history that goes back many decades, at least to the 1940s and 1950s. With the advent of cloud computing with instantly available computing resources, now make AI capabilities easily accessible to all developers.
Machine Learning (ML) is one subset of AI. It is a broader concept that involves the development of algorithms and statistical models that enable a system to perform a specific task without being programmed using conventional techniques. The machine ingests large quantities of data and determines patterns from this data. This is similar to mathematical algorithms that determine formalized functions from a given dataset, a technique that I’m sure many of us learned during our university education.
A popular subset of ML is Deep learning. This type of machine learning uses a combination of data structure and algorithm called a neural network. A neural network is a cascading set of probabilistic weights determined by reading large quantities of historical data patterns. This data can be based on text, images, sound, or other types. The more layers in the neural network, the greater the accuracy (and complexity) of the machine learning model. Each additional layer that processes the input data increases the model’s ability to recognize patterns in the data. Along with the availability of significant cloud computing resources, deep learning attempts to simulate the human brain’s architecture to process data and make decisions. Of course, by using more layers to obtain more accuracy, additional computational resources are required.