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Artificial Intelligence whitepaper
Existing AI-techniques explained
The topic of Artificial Intelligence is at the top of its hype curve. There are many good reasons for that; it is exciting, promising and a bit scary at the same time. In the coming months we will publish a series of cases of practical applied AI from Deloitte.
Part 1: Artificial Intelligence Defined
The most used terminology around AI
Various publications claim that AI knows what we want to buy, that it can create Netflix series cure cancer, or that it eventually take our jobs or even destroy mankind. The problem–and at the same time opportunity-with the label AI is that its definition is not rigorous and very broad. A person living in the 1980s would probably consider the navigation system of our car as a form of Artificial Intelligence, whereas nowadays we don’t. We see the same happening with speech and image recognition, natural language recognition, game engines and other technologies that are becoming more and more common and embedded in everyday technology.
Part 2: Artificial Intelligence Techniques Explained
Zooming in on fundamental AI techniques
In our first blog article, we explained some of the most commonly used definitions of AI. Now we will discuss some fundamental AI techniques: Heuristics, Support Vector Machines, Neural Networks, the Markov Decision Process, and Natural Language Processing.
Part 3: Applications of Artificial Intelligence
Discussing five applications
In this article we take the next step and will discuss 5 applications of AI: Image recognition, Speech recognition, automatic translation, Q&A and Games.
Part 4: Five technology trends that leap-frog Artificial Intelligence
Discussing five technology trends
In this article, we will elaborate on a few broader technology developments that are leap-frogging the adoption of AI. Trends or factors of growth that bring AI to more people and organizations, of which some of the more important trends are described in this article.