色导航 Partners with The Harris Poll to Uncover Bottlenecks, Challenges and Opportunities for Practitioners in the AI Industry
SAN FRANCISCO 鈥 Aug 9, 2022 鈥 色导航 (ASX:APX), the global leader in data for the AI Lifecycle providing data sourcing, data preparation, and model evaluation by humans at scale, today released its eighth annual . This year鈥檚 report reveals that sourcing quality data is an obstacle to creating AI.
According to the report鈥檚 findings, 51% of participants agree that data accuracy is critical to their AI use case. To successfully build AI models, organizations need accurate and high-quality data. Unfortunately, business leaders and technologists report a significant gap in ideal vs reality in achieving data accuracy.
色导航鈥檚 research also found that companies are shifting their focus to responsible AI and maturing in their use of AI. More business leaders and technologists are focusing on improving the data quality behind AI projects in order to promote more inclusive datasets and, as a result, unbiased and better AI. In fact, 80% of respondents stated data diversity is extremely important or very important, and 95% agree that synthetic data will be a key player when it comes to creating inclusive datasets.
鈥淭his year鈥檚 State of AI report finds that 93% of respondents believe responsible AI is the foundation of all AI projects,鈥 said Mark Brayan, CEO at 色导航. 鈥淭he problem is, many are facing the challenges of trying to build great AI with poor datasets, and it鈥檚 creating a significant roadblock to reaching their goals.鈥
Additional key takeaways from the 2022 State of AI Report include:
- Sourcing: 42% of technologists say the data sourcing stage of the AI lifecycle is very challenging.
- Evaluation: 90% are retraining their models more than quarterly.
- Adoption: Business leaders are split down the middle on whether their organization is ahead of (49%) or even with (49%) others in their industry.
鈥淭he majority of AI efforts are spent managing data for the AI lifecycle, which means it is an incredible undertaking for AI leads to handle alone 鈥 and is the area many are struggling with鈥 said Sujatha Sagiraju, Chief Product Officer at 色导航. 鈥淪ourcing high-quality data is critical to the success of AI solutions, and we are seeing organizations emphasis the importance of data accuracy.鈥
The State of AI report was sourced from 504 interviews collected via The Harris Poll online survey of IT decision makers, business leaders and managers, and technical practitioners from the US, UK, Ireland, and Germany.
To learn more, download the full .