Lucid launches machine learning tool for samples
Users define their audience, survey length and targeted number of completes and then Reach can determine the viability and cost, based on the past 45 million survey completes on Fulcrum.
Reach is built using Google’s TensorFlow platform and uses neural networks to continuously analyse 45,000 qualifications. It learns and adapts to trends that are happening within the Fulcrum marketplace in real time.
Patrick Comer (pictured), founder and CEO of Lucid said: “Reach has solved a major pain point for the programmatic sample marketplace: feasibility and price.
“Its launch is the latest example of Lucid’s focus on moving the sample industry forward with groundbreaking technology and solutions. Training the Reach neural network is a major accomplishment for the Lucid engineering and data teams.”
Reach is currently available in the US.
We hope you enjoyed this article.
Research Live is published by MRS.
The Market Research Society (MRS) exists to promote and protect the research sector, showcasing how research delivers impact for businesses and government.
Members of MRS enjoy many benefits including tailoured policy guidance, discounts on training and conferences, and access to member-only content.
For example, there's an archive of winning case studies from over a decade of MRS Awards.
Find out more about the benefits of joining MRS here.
0 Comments