Connect with us

Hi, what are you looking for?

Technology

Report: 37% of ML leaders say they don’t have the data needed to improve model performance

Chart

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 – 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Register today!

A new report by Scale AI uncovers what’s working and what’s not working with AI implementation, and the best practices for ML teams to move from just testing to real-world deployment. The report explores every stage of the ML lifecycle – from data collection and annotation to model development, deployment, and monitoring – in order to understand where AI innovation is being bottlenecked, where breakdowns occur, and what approaches are helping companies find success.

The report’s goal is to continue to shed light on the realities of what it takes to unlock the full potential of AI for every business and help empower organizations and ML practitioners to clear their current hurdles, learn and implement best practices, and ultimately use AI as a strategic advantage.

For ML practitioners, data quality is one of the most important factors in their success, and according to respondents, it’s also the most difficult challenge to overcome. In this study, more than one-third (37%) of all respondents said they do not have the variety of data they need to improve model performance. Not only do they not have variety of data, but quality is also an issue — only 9% of respondents indicated their training data is free from noise, bias and gaps. 

Chart
The majority of respondents have problems with their training data. The top three issues are data noise (67%), data bias (47%) and domain gaps (47%).

Most teams, regardless of industry or level of AI advancement, face similar challenges with data quality and variety. Scale’s data suggests that working closely with annotation partners can help ML teams overcome challenges in data curation and annotation quality, accelerating model deployment. ML teams that are not at all engaged with annotation partners are the most likely to take greater than three months to get annotated data. 

This survey was conducted online within the United States by Scale AI from March 31, 2022, to April 12, 2022. More than 1,300 ML practitioners including those from Meta, Amazon, Spotify and more were surveyed for the report.

Read the full report by Scale AI.

VentureBeat’s mission is to be a digital town square for technical decision-makers to gain knowledge about transformative enterprise technology and transact. Learn more about membership.

Advertisement. Scroll to continue reading.
Click to comment

Leave a Reply

Latest

California

More details have emerged in the case of a California dermatologist who allegedly poisoned her husband by surreptitiously pouring Drano into his lemonade.  Jack...

Washington

Placeholder while article actions load SEOUL — As rainwater gushed into Yoon Jin-hyeok’s semi-underground apartment on Monday, the night of South Korea’s historic downpour,...

Georgia

OXFORD, Ga. — Walton County sheriff’s detectives on Monday were continuing to investigate a case in which two Oxford residents were charged with engaging...

Online Business Success

A representational image of the International Monetary Fund (IMF) logo. — Reuters/File The letter is now to be jointly signed by finance minister and...

Loan And Finance

From left, Firefighters Sergio Porras, Jerome Alton and Natasha Rodocker mop up hot spots while battling the Oak Fire in the Jerseydale community of Mariposa County,...

Social Media

Google’s looking to add more context to its Search results, in order to mitigate the spread of misinformation, by adding improved contextual data matching...

Advertisement

You May Also Like

Uncategorized

Introductions get a lot of attention. I’ve explored the topic of how to write them even though as a reader, I always skip them....

Online Business Success

The internet is now our nervous system. We are constantly streaming and buying and watching and liking, our brains locked into the global information...

SEO Guide

There are all kinds of pictures of the world on the internet, but to find one of these specific pictures that you want to...

Online Business Success

You can think of link building in many ways. I like to call it tedious, painful, and a test of patience. It’s also necessary...

Advertisement