Data validation vs. data verification: What’s the difference?
Torsten Malchow
6. March 2024
It’s a fact that just about any modern business, regardless of the industry, is fueled by data. And perhaps the
Category: Insights
Should you crowdsource your data labeling and annotation?
Torsten Malchow
5. February 2024
In the dynamic realm of AI and machine learning, the pivotal role of data labeling and annotation often intersects with
Three key ways ChatGPT drives innovation for ScaleHub solutions
Dan Dubiner
30. November 2023
It’s hard to ignore the influence artificial intelligence (AI) has on the working world. And it’s even harder to believe
What is collective intelligence?
Torsten Malchow
7. July 2023
Along with “generative AI,” the term “collective intelligence” has been making significant rounds in the business and tech arenas. While
Do data privacy rules apply to crowdsourcing?
Torsten Malchow
5. May 2023
With so much data processing to be had these days, crowdsourcing has become an invaluable opportunity for organizations to manage
What is the difference between outsourcing and crowdsourcing?
Torsten Malchow
2. March 2023
The line is blurry between crowdsourcing and outsourcing and for good reason: there are lots of areas where the two
How to find the right outsourcing provider
Torsten Malchow
15. February 2023
Outsourcing isn’t just a cost effective way to streamline certain processes. It’s the logical next step in expanding your company’s
Why you should consider outsourcing data entry tasks
Torsten Malchow
10. February 2023
Companies have outsourced work for a long time. In 2019, IT outsourcing was worth $92.5 billion and is estimated to
3 reasons companies shy away from automation–are they still valid in 2023?
Torsten Malchow
10. January 2023
By now, we’re all familiar with the promises of automation: efficiency gains, relief from talent shortages, greater efficiency, and increased
3 key ways IT teams are using crowdsourcing
Torsten Malchow
21. September 2022
If you’re looking for some of the first adopters of crowdsourcing, look no further than information technology (IT) teams. As