| A total of 25 technical sessions across 5 tracks
Applying AI requires considering the surrounding environment.
| Insights within the enterprise must be applied and integrated with AI.

MathWorks held 'MATLAB EXPO 2019' in Samseong-dong, Seoul on the 23rd.

Now in its 12th year, MATLAB Expo is a venue for engineers, scientists, and researchers to share their research and insights on updates to the MATLAB and Simulink product families, as well as the latest technological advancements and industry trends.

The MATLAB Expo 2019 began with a welcoming address by MathWorks Korea CEO Jongmin Lee, and was followed by keynote speeches by MathWorks Consulting Services Director Chris Hayhurst and Hyundai-Kia Motors ICT Division Head Jeongsik Seo.

Director Hayhurst spoke about how engineers and scientists can successfully design and integrate artificial intelligence into next-generation smart, connected systems using MATLAB and Simulink, under the theme of “Beyond the Intelligence of AI.” Executive Director Seo addressed the topic of 'Transcendence of Automotive Connectivity and Big Data.'

Following the keynote address, MathWorks Korea Director Youngjun Lee introduced new features added to the latest release (R2019a) of MATLAB and Simulink.

In addition, the event shared the latest technology trends with more than 25 technical sessions across five tracks: ▲Engineering Data Analytics ▲Artificial Intelligence and Deep Learning ▲Control and Embedded Systems ▲Sensor Signal Processing and Wireless Technology ▲Tech Talk Special.


Applying AI to business requires focusing on other areas as well.
In his keynote address, CEO Hayhurst predicted that AI would transform the world more than steam engines or robotics. Companies are also recognizing this. However, many companies are struggling to apply AI to their business. MathWorks analyzed why this is happening.


There were four reasons. First, there was a lack of personnel capable of utilizing data. Second, there was either too little or too much data to analyze. Third, the use of incorrect analysis tools or the use of too many tools, leading to difficulties in integration. Fourth, the business either didn't need to utilize AI to solve the problem it was facing, or even if it did, it was too difficult. In other words, we shouldn't just focus on the introduction of AI itself. We should also focus on the other aspects behind it.

To effectively leverage AI in business through MathWorks software, there are three key considerations. First, you must be able to leverage the insights generated by engineers within your company. Second, you must be able to apply the company's data and insights to your overall workflow. Finally, you must be able to connect and integrate AI with other systems within your company.

Director Hayhurst gave three examples to illustrate this.

The first example is a New Zealand infant formula company that leveraged internal insights. The company wanted to monitor its infant formula production process. They fed data from the process into an AI model and ran predictions. However, the sheer volume of data, coupled with variations in processes across factories, led to inaccurate predictions. The company realized it needed to tailor the AI model to each factory and time period. They also realized that the biased data—data generated only when infant formula quality was good—was causing the predictions to be inaccurate. Based on these insights, the company collected standardized data to power its AI model, improving efficiency.

The second is Voyage, a self-driving car development company that applies corporate data and insights to its entire workflow. This company leveraged Simulink to enable its autonomous vehicles to drive autonomously in a retirement community in the United States. The company refined its AI model by combining existing real-world road data with virtual data generated by Simulink. The company's AI model, which continuously drove in the virtual space created with Simulink, was able to develop a Level 3 autonomous driving algorithm in just three months.

The third company is EarlySense, a medical device company that integrates and integrates AI into other systems used within the company. This company developed a system that installs sensors under a patient's bed to predict what symptoms the patient might experience in the next few hours, allowing doctors to take preemptive action. The sensors, installed under the bed, collect unique patient data without requiring any physical contact, enabling AI to predict the patient's symptoms. The company's AI model didn't operate in isolation. It integrated with existing hospital systems, allowing doctors and nurses to track the patient's movements and share the information via messenger.

Concluding his keynote address, Director Hayhurst stated, “AI will become an even more innovative technology in the future,” and added, “To successfully utilize AI, you need knowledge that goes beyond AI itself.”

He continued, “Matworks is continuously updating MATLAB and Simulink so that companies in various industries can apply AI to their businesses,” and emphasized, “Companies can easily integrate this into the systems and technologies they are already utilizing.”