Introducing: Automated decision intelligence and "biological decision systems"

In May 2017 we introduced ADI and "biological decision systems" to an audience of about 60 people at the Univate center at KU. Since then more than 100 people have joined the group, and we think they also deserve the introduction to ADI and biological decision systems. So a new event has been scheduled to the 24 of august at the Symbion Science Park facilities (close to the Ryparken S-train station). You are all well come, it is free and you will get pizza and drink for free.

We also promised to give a free education in ADI and biological decision systems for software architecture. This will take place in four evenings from 17 30 to 20 30, two days in September and two days in October. You can join this education for free. Everyone who passes the exam will get a certificate!

Read about the content for the introduction the 24 of August here:

ADI – Automated Decision Intelligence, is an umbrella concept embracing both real and artificial intelligence.

ADI builds on the existence of biological decision systems that, driven by evolution, convert data from “chance” into “probability” for predictive use. The advent of the digital computer has scaled this evolutionary process in both speed and capacity, and computerised systems that mimic biological decision systems are now taking the lead in complex decision making. Hence the hype right now about big data, machine learning, deep learning and AI in general. Biological decision systems determine all behaviour – from E. coli at the bottom of the evolutionary scale, to homo sapiens at the top. The human decision system is the most advanced of all biological decision systems.

We invite you to attend this introduction to biological decision systems. You will learn about their origins, structure and functions, and you will learn about the human decision system in detail. This knowledge will provide you with an essential grounding in Automated Decision Intelligence and its central future role in advanced decision making technologies and enable you to construct efficient and useful algorithms for life, business and science.