Ever wonder how machines learn about the world? Your mind might be blown! Sure, artificial intelligence (AI) sounds complicated and high-tech, but it depends on real people doing actual jobs. Enter Appen Limited. In our blog, we’ll dig deep into Appen’s world, a key player in AI advancement. We’ll examine their role, their stock performance, and, importantly, how they use information to better AI. So, brace yourself and get ready to learn the human aspect of artificial intelligence!
What does Appen Ltd do?
What does Appen Ltd do?
Even though Appen is now big in the AI world, its story didn’t start there. Way back in 1996, Julie Vonwiller, a smart business lady good with words, started the company. In her own words, “I started Appen, my own business, because I couldn’t get a job as a linguist. At the time, my skills weren’t of any interest to companies. It’s been extremely exciting and rewarding to be at the forefront of this change. We were the first to employ a lot of linguists in the speech and language technology area, and were on the cutting edge of information technology, software engineering and linguistics.” (Source: Macquarie University)
Now, the company is a big name in “data annotation.” So what’s this “data annotation”? Sounds fancy, right? In simple terms, it’s all about training AI systems on loads of data. This can be text, pictures, sounds, or even videos. But, the AI can’t learn from raw data alone. It needs to understand it, like knowing how a cat looks in a picture, or what spoken words mean. That’s when the actual human team steps in.
This team works across borders and is made up of people called annotators. They help label and sort data, giving AI the info they need to learn and become better.
Appen Stock (Note: Not Actual Representation)
How is their stock performing?
If you consider yourself an investment buff, and keen on AI, then Appen.Limited is a cool prospect. This company is up for grabs on the Australian Securities Exchange (ASX) with the code APX. Basically, you can buy a slice of the company and may even cash in on its wins.
But remember, it’s important to get an understanding of the company’s stock behavior before you jump in. Like most tech firms, the company’s stock value has ridden a roller coaster recently. Sure, there were high points earlier, but it’s stumbled a bit too. Here’s a quick pic of the company’s recent stock performance:
- Upward Side: Even with ups and downs, the company’s stock has shot up overall. Relative to its lowest point in the past year, the company’s stock is way up there.
- Short-Term Fluctuations: Over the last year, the company’s stock has seen both peaks and valleys. Despite some dips, there have been jumps too.
- Predictions: Financial analysts can’t agree on the company’s future. Some see a rosy path, and others hold their horses.
Strategy: stocks are a game of luck. While the company’s vital work in AI counts, other factors can upset the performance too.
Ready to find out how Appen uses data annotation to help AI grow? Let’s check it out in the following section.
How Does Appen Improve AI with Data?
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How Does Appen Improve AI with Data?
Let’s simplify Appen’s prime work: data annotation. What’s it do for AI? Think of a kid learning words. They see pictures and hear words like “cat,” “dog,” “home.” After some time, they know what each one is without being told. AI needs the same teaching. Here’s where Appen’s human annotators come in.
Check out how the company helps AI grow:
- Training Data: The company gathers a ton of information. Text, images, sound, and video. All this data is AI’s learning material.
- Human Labeling: Appen has a big team around the world. They label and sort the data. They might tag photos with cars or write down what’s said in audio files.
- AI Learns from Examples: By tagging and sorting, AI starts to ‘get’ the data. It learns to spot trends, know items, and understand info.
- Quality Check: Appen’s very strict about getting the data right. Top-notch data is key for creating dependable, trusted AI.
Appen adds value to AI by offering essential learning data. Take a look at some real-life uses.
- Facial Recognition: Through data annotated by Appen, AI systems can recognize faces in images and videos. Such a function is useful for security measures and phone unlocking.
- Autonomous Cars: Self-driving cars use AI to manage routes. Data tagged by the company helps in training AI to spot street signs, individuals, and other things on the highways.
- Virtual Helpers: Assistants like Siri or Alexa use AI to understand spoken instructions. Audio data annotated by Appen enables system training, helping it in understanding speech trends and providing correct responses.
Fundamentally, Appen serves as a bridge between raw data and the smart AI systems we engage with every day. The precision and quality of Appen’s data annotation services have a direct effect on the accuracy and trustworthiness of AI tech.
P.S. Why are we telling you about Appen Limited? Well, to be clear this is not a sponsored post. Since we talk about AIs a lot, we always find it intriguing what makes these AIs tick.
And to find the answer we stumbled upon Appen company. Even though it’s a small cog in a massive machine, it’s still fun to read up on these companies.
For informative blogs like this stay tuned!
Until next time, fellow learners, Ciao!!
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