Businesses are increasingly understanding that their employees will need to work alongside artificial intelligence to deliver the best results. Merging AI and human intelligence (HI) has the potential to provide better products and services, tap into different approaches to tasks, and free people from repetitive tasks as well as uncovering previously undiscovered creative solutions to problems. The more work that is shared with an artificially intelligent system, the more innovative solutions can be discovered and the human ability to build connections with customers and clients can flourish. However, recognising that AI can augment human workforces is only the first step. Businesses have to consider a whole host of infrastructural issues, and prepare their workers for a very different style of working.

Each day, Mark Koh and his team at Kuala Lumpur-based data training & content moderation company Supahands help their clients test the limits of the question'how much data is too much data?' Data drives innovation, but it is only valuable if it is assigned a purpose, and it is only usable if it is organized to serve that purpose. As companies continue to move toward digitization and automation, and more data is at their disposal than ever before, the amount of data requiring cleaning, tagging, and categorizing has exploded. Amazon and Google are two examples of companies that have set themselves apart through data-driven innovation, but many organizations don't have the scale, time or expertise to understand and make use of their data with the speed and accuracy needed to take full advantage of it. That's where Supahands comes in. Headquartered amidst the hustle-and-bustle and congestion of Malaysia's capital city, the Supahands team aims to create a less polluted data universe.