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AI is still at the forefront of Southeast Asia. While some countries are implementing initiatives to build digital infrastructure and information ecosystems, Singapore, Malaysia and Vietnam are taking the lead, according to the McKensey report.
Machine learning is the basis of most usage issues – from chatboards to driverless cars, to the conclusion and prediction of an AI subdivision that trains computers to find patterns in large databases. Defining an hour of video content can take eight hours or more — while AI software requires millions of data inputs to be effective and reliable.
Malaysia-based Suphands has developed a convenient location for end-to-end data identification partners that provide training information for AI and machine learning. It does this with a crowd of 16,000 SupaAgents in Southeast Asia, as well as its own proprietary technology, to develop a variety of training databases.
The in-house software includes SupaAnnotator with customizable tags such as 2D binding boxes and polygon descriptions and SupaAnnotator, a data management platform for image to text, video and audio recording projects, which can determine metadata tagging and sharing.
“In terms of machine learning as a whole, tagging is an important part of the puzzle and is one of the most time-consuming and tedious tasks to develop at one time,” said Susian Yeap, co-founder and COO. “The more repetitive nature of the projects, the manpower we have, the infrastructure we can collect and the overall market opportunities – this was a perfect fit.”
Superheads wants to free up time for the greatest AI engineer or data scientist by helping their customers deploy their AI models faster. Usage issues range from automotive to facial recognition and geospatial imaging in a variety of industries, although part of the revenue comes from retail AI and agtech.
“To give you an example, we have a retail customer that we have helped by providing a real-time shelf label.”
For all the flashes and attractions associated with AI promises, collecting and naming huge and localized data sets is an important complaint in the AI supply chain. But it offers great market opportunities. Industry analyst Cognitive has forecast that the market for third-party information services will grow by $ 1.7 billion in 2019 and grow by more than $ 4.1 billion by 2024.
Suphands Ibotta, an American consumer technology company, has been able to allocate between 300,000 and 600,000 receipts per month and 200,000 images of AI firm Viscovery, which saves the customer 20-30%. A.D. In 2019, undisclosed Srie A funding led by Social Venture Capital Pattamar Capital for further expansion in the region with Cradle Seed Ventures.
Sexual algorithms
But there is another technology that the Supahands are not ashamed of. The AI / ML world has a history of not only incorporating gender bias into software but also highlighting it in algorithms. While the future of AI is bright, it is very worrying that women in particular have to deal with not only everyday sex but also technology.
“If five 20-year-old men create a chatbox, it looks like a completed 20-year-old chatbot,” Jep said. “How can it not be?”
Suphands is setting an example in an industry where there are so many professionals. Females make up about 50% of the workforce, and this is consistent across leadership, technology and SupaAgent teams.
“From the point of view of AI development, it is important for the technology provider to be aware of its strong tendency to create discriminatory machines and to actively ensure as much diversity and diversity as possible in the process,” Yap explains. “We do our part by providing quality training information to our clients as much as possible.
Keeping the balance
However, when asked if she would hire a supervisor for a different purpose, she replied that they would not. The company emphasizes the importance of hiring people with different perspectives, and with it, they are of different backgrounds in nature, culture, race and gender.
We don’t just want female engineers and business managers to increase the balance, says Jeep. “We are looking for the best engineers and the best designers, and based on these hiring principles and the people who have walked through our doors, this is what our team will look like today.”
It all starts with her. “It is important for women to stop identifying themselves and to see themselves as ‘women in technology,’” she says. “We need to present ourselves as professionals and industry experts – software engineers, data scientists, programmers and CEOs.”
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