In an interview with Fortune, Canva CEO Melanie Perkins expressed concerns about the current state of artificial intelligence (A.I.). Perkins said that she believes A.I. is too fragmented across products, making it difficult for users to find and use the best A.I. tools for their needs.
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Canva CEO Melanie Perkins Observes One Major Problem With A.I. Right Now
In an interview with Fortune, Canva CEO Melanie Perkins said that she sees one major problem with artificial intelligence (AI) right now: it is too fragmented across products.
“The whole AI landscape is very fragmented today,” Perkins said. “There are a lot of different AI products out there, but they’re all kind of siloed. They don’t talk to each other. And that makes it really difficult for people to use AI effectively.”
Perkins gave the example of how AI can be used to help people create designs. There are a number of different AI-powered design tools available, but they all work in different ways. This can make it difficult for people to choose the right tool for the job, and it can also be difficult to integrate different AI tools into a workflow.
Perkins believes that the AI landscape needs to be more unified in order for AI to reach its full potential. She said that we need to develop “common standards” for AI, so that different AI tools can work together seamlessly.
“We need to create a more connected AI ecosystem,” Perkins said. “That’s the only way that we’re going to be able to unlock the full potential of AI.”
Perkins’s comments come at a time when AI is becoming increasingly important in the business world. A recent study by McKinsey found that AI could add $13 trillion to the global economy by 2030.
However, the study also found that many businesses are struggling to adopt AI effectively. One of the main reasons for this is the fragmentation of the AI landscape.
If Perkins is right, then the development of common standards for AI could help to overcome this challenge and make AI more accessible to businesses of all sizes.
Perkins is not the only one who sees this as a problem. In a recent report, Gartner predicted that by 2023, 70% of AI projects will fail due to lack of integration.
If AI companies can work together to create more integrated AI solutions, it will make it easier for businesses to use AI effectively. This will lead to a wider adoption of AI, which will benefit businesses and consumers alike.
In addition to the fragmentation problem, Perkins also sees two other challenges facing AI today:
- The lack of diversity in the AI workforce.
- The lack of transparency in how AI algorithms work.
Perkins believes that these challenges need to be addressed in order for AI to reach its full potential.
The lack of diversity in the AI workforce is a problem because it limits the perspectives that are brought to bear on AI development. If the AI workforce is more diverse, it will lead to the development of AI that is more inclusive and representative of the real world.
The lack of transparency in how AI algorithms work is a problem because it makes it difficult to understand how AI decisions are made. This can lead to concerns about bias and fairness in AI.
Perkins believes that these challenges can be addressed by making AI education more accessible and by promoting open source AI development.
About Melanie Perkins
Perkins is not only CEO and co-founder of Canva but also a role model for young women and entrepreneurs. She is proof that it is possible to achieve great things, even if you are from a small town in Australia.
Here are some of Melanie Perkins’s achievements:
- Co-founder and CEO of Canva, a graphic design platform with over 60 million monthly active users.
- One of the youngest female CEOs of a tech start-up valued over A$1 billion.
- As of May 2021, one of Australia’s richest women.
- Advocate for diversity and inclusion in the tech industry.
- Member of the World Economic Forum’s Young Global Leaders community.
Perkins is an inspiration to many people. She is a reminder that anything is possible if you set your mind to it.
Conclusion
Overall, Perkins is optimistic about the future of AI. She believes that AI has the potential to solve some of the world’s biggest problems, such as climate change and poverty. However, she also believes that there are some challenges that need to be addressed before AI can reach its full potential.
Perkins’ insights into the future of AI are valuable. Her views on the fragmentation problem, the lack of diversity in the AI workforce, and the lack of transparency in AI algorithms are all important considerations for businesses and individuals who are interested in AI.
What do you think? Do you agree with Perkins that the AI landscape is too fragmented? What do you think needs to be done to address this problem?
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