4 Emerging Trends Will Transform the Field of Artificial Intelligence in 2018 Posted on : Dec 22 - 2017

 1. Artificial Intelligence seen as commodity

In recent years, many tech giants (Google, Microsoft Azure, IBM) invested heavily in the general-use of Machine Learning and Deep Learning. In 2018, more SME businesses will learn how to use their solutions and full service platforms. They have managed to optimize Computer Vision and Natural Language Processing in such a way that it will most likely outperform any other (smaller) player in this field. With help of API’s they will take over (market share up to 85%) the general-use machine learning industry in 2018.

2. Democratization of ‘Click’ Machine Learning

In 2017 there has been an exponential use of so called ‘click – drag and drop’ tools. Usually highly specialised solutions are able to generate business value without any hassle of interference of writing code. It also looks amazing and is very visualized.

These tools allow users to model a solution without writing code (such as Orange, Dataiku, Exploratory). The threshold to start having fun with machine learning just decreased…

3. “Guys, these geeks are infiltrating”

Many organizations started in 2015 and 2016 ‘AI labs’ & ‘Advanced Analytics’ teams. These teams were build in a highly centralized set up in order to ensure that they could learn from each other and operate across different departments. However, organizations learned that the actual best practice is to embed data scientists and analytic team members within individual business units.

4. Predictive Analytics on the loose

As mentioned, many organizations invested heavily in new ways to apply advanced analytics and predict certain outcomes. In 2018 we will see more and more autonomous agents that will use the outcomes of these predictive analytics tools to plan and interact directly with customers. View More