Business

AIoT solutions, the convergence of Artificial Intelligence and Industrial Internet of Things

AIoT, the confluence of Artificial Intelligence (AI) and Industrial Internet of Things (IIoT) technological forces, gives rise to a new digital solution category – the Artificial Intelligence of Things (AIoT). AIoT is built for industrial companies looking for better ways to connect their Convergence of Artificial Intelligence evolving workforce to data-driven decision tools and digitally augment work and business processes and make better use of industrial data already collected. 

However, leveraging AI requires data science capability, which adds additional complexity to an already complex environment. While engineering roles are skilled in analysing large amounts of data, setting up and creating production grade machine learning environments is not easily accomplished. Unlocking the value of industrial data through AI requires a hybrid approach. 

This is where we get to the paradigm of Industrial AI, which combines data science and AI with software and domain expertise to deliver measurable business outcomes for capital-intensive industries.

At one time, this manufacturing digital nervous system was primarily based solely on legacy systems and architectures. But today, the industry is borrowing from IT approaches and architectures developed for enterprise systems with a focus on speed and scale. These next generation of Industrial AI solutions make it easier for the industry to embed and deploy AI into industrial systems and allow users to solve industrial problems without retraining or adding data science capabilities to industrial organisations.

With the IoT and AI era coming into full swing, various intelligent and connected devices are also emerging onto the scene. In this special series, Samsung explores the current integration of AI into consumer electronics, from TVs to refrigerators, to highlight the smart life that users can enjoy and experience right now.

Take a look at Bixby, Samsung’s intelligent assistant. Voice recognition technology has drawn big crowds at recent home appliance and electronics exhibitions such as CES and IFA, but Bixby stands out in its ability to control appliances and TVs in optimised ways that fit users’ lifestyle. 

It’s natively embedded into some of the most important electronics or home appliances such as the TV and fridge, and it uses AI to be context-aware. In addition, an entire array of smart home gadgets, not just those made by Samsung, can be connected to the same connected network with just one click of an app. It has created a new way to experience and interact with the home.

The TV is one area where Bixby innovates and enhances entertainment. The boredom of channel surfing is banished once and for all. Many will already be familiar with searching for channels or shows with their voice. Bixby goes further by using the power of AI to recommend shows based on previous viewing habits and searching based on additional parameters beyond just the title or channel.

Bixby draws on information from set-top boxes and real-time TV channels Samsung Electronics has accumulated, thus recommending content that exactly meets users’ demand. It analyzes users’ voice commands to hear whether the commands include genre, cast, or title, thereby drawing accurate results. 

When a user plugs a set-top box into a TV, the TV automatically detects the brand of the set-top box and provides the user with custom content and channel information. So the user doesn’t have to command specifically by saying, “Find Suits.” Instead, if the user says, “Play TV series starring Meghan Markle,” Bixby analyses the content and channels to deliver the desired result.

The world’s first 8K AI Technology that realises a definition nearly the equivalent of 8K is based on machine learning. Computers or smartphones run according to directive values that humans enter. In contrast, machine learning refers to the way AI learns certain patterns and gives optimised answers based on various examples.

Samsung’s Machine Learning Super Resolution (MLSR) utilises AI technology to compare low and high-quality versions of the same content to learn the technological differences between the two and form a vast database. It analyses millions of pieces of video content and finds a correlation. Based on its analysis, it can select the optimum filters that support brightness, the level of blackness, spread and other errors from all inputs, and transform low-definition content to close to 8K high definition.

The input content is recognised as ‘real-time’ based on a frame and is enhanced by scenes, which makes it possible to upgrade image and sound quality immediately, regardless of whether the video source is live streaming or OTT (Over The Top).

The potential of AI is exciting and vast, with researchers just starting to understand all the potential applications. However, one solution which users can tap into now, to experience how AI can make their lives more convenient and easier, is Samsung Electronics’ HomeCare Wizard. 

The unique AI-based service solution, available on Samsung’s smart home appliances, essentially enables devices to diagnose themselves for not only system errors, but to enhance efficiency and to help users use their appliances better.