Where AI and Big Data are causing disruption


As you're probably aware, AI isn't new. It has been in action for decades. Until recently, however, the lack of data available has hindered the development of AI. Today's wealth of data has driven AI to be at the forefront of digital transformation. Just one example is every time you fill out a form it's potentially being added to a big data set. Data also comes from sources such as IoT and internet-based transactions. AI needs data to work and consumes it in order to learn. As a result, it is causing disruption across many industries.

Here are some of the industries that we have identified disruption in:


E-commerce and Retail

Online shoppers will have already experienced AI tech in the form of chatbots, personalized shopping experiences and curated adverts. AI can also be used to predict customer orders for upcoming seasons. This will allow retailers to improve inventory planning and purchasing, and predict costs.


Digital Marketing

Digital marketing is all about well curated content and efficient targeting of audience. AI can help digital marketers personalize and target content (email and online), identify the most appropriate topics and analyse results of marketing campaigns.

AI can also help in more granular marketing tasks - specifically content creation. It will improve access to data and could be used to create machine-written articles on the most suitable topics.



AI is disrupting the transportation space by enabling vehicles to be autonomous and self-driven. Self-driving cars can control radar systems, lane control features, cameras, GPS and so much more! Much of the technology they make us of is driven and made possible by AI, but relies heavily on data to work.



One of the most prominent areas that AI will cause the most growth is with automation in manufacturing. There's been a lot of noise from robotics and it's transforming the manufacturing industry.

You could look as AI being the brain and robotics being the limbs! Robots are no longer limited to repetitive tasks only, but can collaborate and interact with people in the production process. This means they are able to carry out tasks that were impossible even just a few years ago.

In addition to manual processes, AI has also been playing an important role in research and development. AI software is being used for product testing and has an increased use in the creation of simulations.



AI has been used in the success of several healthcare developments including virtual diagnosis, robotic surgery and of course patient logistics. The potential for AI in the healthcare sector is extremely high in order to create better healthcare outcomes and reducing costs.