This article will give a brief overview of typical use cases we see in our practice when discussing AI projects in Singapore, Dubai, Abu Dhabi or other market in ASEAN & Middle East.
For instance large FMCGs use machine learning to send the right goods and products to the best stores before it runs out of stock. The healthcare industry is utilizing machine learning business applications to achieve more accurate diagnoses and provide better treatment to their patients. From other side medical researchers are also using ML/AI as many introduce newer and more effective medicines with the help of this technology. Many use cases are emerging from all sectors as machine learning is being implemented in logistics, manufacturing, hospitality, travel and tourism, energy, and utilities. Below are seven most interesting cases we see in our practice.
Real-time chatbot systems (using Natural Language Processing)
Chatbots are one of the foremost forms of automation. You probably have encountered them in banks (for instance DBS is using them), e-commerce (Lazada, Zalora are among them in Singapore) and even air companies (check our case study for AirAsia). The first generations of bots were designed to follow specific scripted rules that instructed the bots on what actions to execute based on certain keywords.
However, NLP (natural language processing) and ML (machine learning), which are another part of the AI technology body, enable chatbots to be more productive and more interactive, thus creating better service for Enterprise customers
Product recommendation engines
Another common use case is use of ML to power the customer recommendation engines built to deliver customized experiences and improve the overall experience. At the start algorithms analyze data points about each customer, including customer’s previous purchases, demographic trends, purchase histories of other customers, an organization’s present inventory in order to know what services and products to offer as recommendations to each individual customer. There are few examples of businesses in ASEAN and Middle East whose business models are based on recommendation engines: Zalora, Lazada, Carefour (check their Frequently Bought Together), and so on. Even food deliveries companies like Grab Food and Talabat using it.
Image classification and image recognition
Few years ago Fortune 2000 companies have started turning to neural networks, deep learning, Computer Vision (CV) and ML to assist them to make meaning of images. The application of this machine learning technology is wide – from brand’s intention to create fancy AR mask for IG/Snapchat, to the enabling of security teams to detect illegal activities in real-time, or store tracking number of unique customers and creating store “heatmap”.
The end of PART I. See other three use cases in our next post.