Data labeling software is crucial in developing artificial intelligence (AI) systems. It is designed to label and annotate data in a consistent and standardized manner, just like in a commonly known ...

In this special guest feature, Michael Goldberg, VP of Marketing at Innodata (NASDAQ: INOD), indicates that even the most technically advanced algorithm cannot address or solve a problem without the ...

Different projects require different workflows. In data annotation platforms, flexible workflows help manage quality, speed, and complexity. Rigid workflows can lead to delays and errors, especially ...

Artificial Intelligence (AI) continues to capture attention for its ability to transform financial services. From accelerating onboarding to improving anti-financial crime outcomes, AI is reshaping ...

Appen CEO Ryan Kolln recently joined us on the innaugural edition of the Big Data Debrief to talk about Appen’s work in data annotation and labeling, and how the rise of GenAI will impact the world’s ...

On this episode of DEMO, Keith Shaw welcomes Kathleen Wiener, Vice President of Data Management Services at EXL, to unveil ...

The transformative impact of AI on language translation, content creation and other areas is undeniable. However, behind every high-performing AI system lies a critical foundation that human ...

DUBLIN--(BUSINESS WIRE)--The "Data Collection And Labeling Market Size, Share & Trends Analysis Report By Data Type (Audio, Image/ Video, Text), By Vertical (IT, Automotive, Government, Healthcare, ...