2018 AI development caused dramatic changes in existing big data technologies. The innovations create significant economic value, drive the highly skilled jobs market, and offer an increased level in both business and customer experiences. AI is reported to accelerate GDP growth by up to 1.2% annually over the next decade.
The 2019-2025 trend is shifting towards the deep learning and computer vision markets with the following primary use cases:
- Video surveillance
- Customer service
- Image content analysis
- Medical image analysis
- Voice and speech recognition
- Marketing video content analysis
Business owners in the retail, transportation, healthcare, education, and finance sectors are investing in AI, but the mobile applications is one of the fastest growing areas for AI.
AI and video surveillance recently became a popular tool to better understand customer behavior in an offline supermarket environment to form offline and online sales strategies as well as analyze products on the shelves to improve product stocking. The data analysis results are used to deliver a new level of personalization for positive customer experience. One example of AI shopping technology is Amazon Go stores, where they know who you are immediately when you walk into the store.
AI and video surveillance has a great potential for improving driver safety. Cameras can control the driver’s gaze to alert them of distractions or sleepy conditions. A great example is OpenViNO (Open Visual Interference and Neural Network), which is an Intel open-source optimization toolkit for interference deployment on the CPU/GPU/FPGA.
AI is improving healthcare for patients, doctors, clinics, and pharmaceutical companies. It can be used as a wise assistant to offer more accurate diagnoses than human doctors alone. Clinics and doctors also need efficient administrative management to make sense of medical records and have them easily available when required. A good AI use case in healthcare is Medical Sieve, the IBM-developed algorithm for decision making in radiology and cardiology for accurate diagnoses.
An average person spends 2-5 hours daily using his or her smartphone and as mentioned earlier, mobile applications is one of the areas of the most growth for AI. Smartphones provide a number of features to supplement AI performance such as GPS tracking, microphone and camera features. iPhone X has an A11 Bionic chip featuring a neural engine designed for Face ID’s 3D scanning that is based on AI. Combining AI technology with these features makes apps more personalized to radically improve user experience and secure customers into brands on a long-term basis.
How you can use AI on your mobile app
- Personalization: Use deep learning and AI to personalize content for your customers to achieve higher engagement.
- Customer care: Talk to your customers with the help of AI and create customized responses according to your brand’s message.
- Personal assistant: Get a personal assistant for help with your daily routine.
- Speech recognition: Improve your brand user experience with voice technologies.
Brands like eBay, Amazon, Starbucks and Taco Bell have already proved the success of AI mobile apps, going beyond just automated ordering. A new customer experience has been set by Google Home, Microsoft Cortana, Samsung Viv, Amazon voice-controlled assistant, and Alexa!
At EGO, we are sure that in upcoming years AI will become an integral part of most applications with algorithms to continuously adjust according to their learned behavior. Business owners are investing in AI advantages as they strengthen the consumers’ connection to brands. This is not a common practice yet, since it requires sufficient investments.
We also anticipate a very active AI talents hunt. In spite of social concerns that AI is killing thousands of jobs, the AI controlled machine market is creating a big demand for very skilled personnel. This generation of data scientists is being replaced by AI specialists as the most valuable talents in the IT industry with compensation package starting from USD 400k.
Feel free to approach EGO to learn how you can develop truly personalized experiences by leveraging AI and big data in your mobile app.