Our Alpha marks the first phase towards introducing a self-service model to help data scientists everywhere have high quality data at their fingertips.
Every company is finding itself thrust into a new era where data-driven decision-making and automation are key to scaled growth. While recent advancements in artificial intelligence (AI) powering everything from chatbots to personal assistants have helped consumers and enterprises realize the promise of what the technology might bring, we feel there’s plenty of room to improve.
At DefinedCrowd, we believe the key to improving the interaction between humans and machines is access to better data. Too many companies building AI and machine learning (ML) applications are hampered by poor quality data, resulting in inconsistent interactions, slow time to market and lack of language coverages. This results in a halt of innovation that creates poor user experiences.
Today’s announcement of our Alpha release of the Enterprise SaaS platform gets us one step closer to realizing the vision we’ve had since day one of starting DefinedCrowd: Helping all companies reduce cost and time to ship high quality machines through access to intelligent data.
In the alpha release of the Data-Science-as-a-Service platform, we focused our efforts in building intuitive and easy-to-use workflow templates based on our core domain expertise. Speech and Natural Language Processing (NLP). As the only data platform designed for data scientists by data scientist, the platform uses the power of ML and humans-in-the-loop (or crowd) to help enterprise data teams to collect, augment and structure high quality training data for AI and ML applications.
From the alpha release, we have two specific goals in mind:
- Expand the ways we help AI and ML application builders gain access to high quality data through a self-service model (while continuing the more hand-on approach we offer today)
- Invite a group of enterprises to bang away and give us feedback to improve/inform our Beta release
One of the big goals of DefinedCrowd is to help make machines smarter in a way that always puts humans at the center of the AI experience. The ability to naturally and effortlessly communicate with machines is paramount to realizing a truly human-centric interaction model. What we announced today is only a start to this exciting journey. Over the next several months, we’ll be shipping new sets of workflows to methodically chip away at the data problem. And if we do our job right, it should free up the AI builders to do what they do best – ship machines that understand us, naturally.
You can apply for a trial access here today!