What are the new trends in artificial intelligence and data training in 2023?

Recently, the versatile "all-round netizen" ChatGPT has become popular again and again. How fast and to what extent will artificial intelligence develop in the future? People have begun to sit down and seriously explore and think.

We live in an era of rapid change. In the new year, what evolutions have taken place in the true capabilities and application scenarios of artificial intelligence? We invited several industry leaders to share their 4 trend predictions for artificial intelligence and data training in 2023.

Generative AI will change the way we work

Generative AI has taken the world by storm, and people have even used it to create complex artwork, write animated articles in almost no time...  

Creating art requires skill and training to master. People lack the time or talent to come up with the ideas they want, which is one factor that makes this new type of AI so appealing. Another factor is budget , and the ease of use of generative AI also contributes to cost-effectiveness.

Producing high-impact creative work is expensive, and the return on investment may not be great. Leveraging generative AI to quickly fill in gaps in business presentations will save executives time and money. 

— Jen Cole, senior vice president and general manager of enterprise sales, Appen

Speed ​​and scale will advance business

Appen believes that speed and scale will be important concerns for enterprises in 2023. In the future, businesses should see results faster with more powerful machine learning models that combine speed and scale.

In terms of time-consuming data processing, more and more enterprises are seeking high-quality data partners to help reduce costs, shorten turnaround time, and improve automation levels to focus on other key links such as human-machine collaboration and achieve efficient expansion .  

We have seen that when enterprises obtain high-quality data and expand AI application systems, they combine technology and human supervision to discover areas that need improvement in a timely manner, helping to balance speed and quality, and helping enterprises realize AI in the next year Leap target for deployment.

—— Sujatha Sagiraju, Chief Product Officer, Appen

Privacy and edge cases will be even more important

With the implementation of relevant laws and regulations and the continuous improvement of people's awareness of privacy protection, the market's expectations for privacy protection in the process of data collection and model output will continue to increase , including data collection methods, collection content, and how people will be affected by these data. application impact.

Taking edge cases as an example, we see an increasing need to collect very rare datasets. Synthetic data, on the other hand, does not contain personally identifiable information and can generate large amounts of data quickly. In Appen's last year's forecast, we foresee the rising market demand for synthetic data and cooperate with Mindtech to provide synthetic data solutions. 

When dealing with real-world data, the importance of data security and identity privacy will continue to grow.

— Erik Vogt, Vice President of Enterprise Solutions, Appen

Autonomous driving will be more dependent on safety and experience

In terms of general trends, people's trust in autonomous driving will continue to increase. Maybe people are still complaining about the poor performance of the automatic driving assistance system, but as the technology improves in new models, it is expected that more people will start to like and seek to use the automatic driving assistance system.

In terms of the safety of autonomous driving, the European Union predicts that by 2038, autonomous driving will save about 25,000 lives and prevent 140,000 serious injuries. In the coming year, artificial intelligence will also make significant progress in the safety technology and consumer experience of autonomous driving.

Innovations in autonomous driving are not limited to safety, as artificial intelligence is also expected to improve the consumer experience inside the vehicle. In the coming year, we will find more comfort in the car experience, such as self-adjusting seats, automatic anti-glare protection and more personalized infotainment systems.

——Sujatha Sagiraju, Chief Product Officer, Appen

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Origin blog.csdn.net/Appen_China/article/details/130263857