Labelbox

Data scientists and ML engineers, join our COO, Brian Rieger, next Thursday (6/25 at 9am PT) to learn how Arturo is building AI-first products from the ground up and how they use Labelbox. Sign up for the webcast here: https://explore.labelbox.com/build-ai-first-products-webcast

Excited to be featured today in The New York Times on how Seattle Sport Sciences uses Labelbox's training data platform to revolutionize coaching and make advanced analytics available to all types of teams with AI. #sportsanalytics #artificialintelligence #machinelearning

We're excited to team up with Omdena on their latest Coronavirus AI Challenge. We'll be providing Labelbox tools to AI experts and data scientists to apply AI and enable governments to design data-driven policies to deal effectively with pandemics like Coronavirus. If you want to get involved, learn more here: https://lnkd.in/gQ3rmXR #artificialintelligence #machinelearning #aichallenge

Our CEO, Manu Sharma just wrote an article in Harvard Business Review on ways business and data science leaders can better navigate the new landscape of AI platforms. An essential part of the toolkit will be a Training Data Platform that helps companies efficiently create and manage all their ML training data to reach production AI. #computervision #machinelearning #artificialintelligence... https://hbr.org//navigating-the-new-landscape-of-ai-platfo

AI that would make Captain Planet proud! Excited to showcase how Omdena & Sintecsys harnessed Labelbox to create a rich dataset and built a model to prevent wildfire outbreaks #computervision #AIforGood #ArtificialIntelligence

We’re excited to announce that we’ve raised $25M in Series B funding led by Andreessen Horowitz! Since day one, we set out to build the world’s best training data platform. With this funding, we look forward to advancing our capabilities and empowering even more customers to build and deploy their AI ambitions.

Join our very own Nathana Sharma & Clarice Wong tomorrow on Futureproofing Now's webcast sessions entitled "A.I. & the Dimension of Innovation+". Alongside a panel of other experts, we'll be discussing AI trends and demoing our technology. Time: Tuesday, Jan 28th (8am PT for Conversations and 11pm PT for Demos) Sign-up Link: https://zoom.us/webinar/register/WN_9hHwSKPdRK6LVzfpHwcGoQ... Some topics explored: AI table stakes and myth busting The top 10 applications of AI ranked Incorporating AI into corporate growth strategy Positive impacts (+ the potential risks) #artificialintelligence #ai #machinelearning #deeplearning #aitrends #ml

January updates are here! We're excited to announce the new video labeling editor (sign-up for the private beta), vector labeling in the image editor, general release of our Python SDK, launch of release notes, and much more. https://labelbox.com/blog/labelbox-january-update/ #AI #machinelearning #computervision #labelbox #ML

Thrilled to be selected by Built In in #BuiltInSF's 50 San Francisco Tech Companies To Watch list this year! We like to think it’s only fitting as we’re in computer vision and it’s 2020 We’re also hiring for many roles so please get in touch!

Interested in deploying enterprise machine learning for your organization? Asking the right questions is what helps you get it right from the start. Learn how in our latest blog post: https://lnkd.in/gNDcASX

Manu Sharma and Brian Rieger of Labelbox join the ARK Invest podcast for a discussion on training data for #AI and the need for software companies in this space. https://ark-invest.com/research/podcast/labelbox-podcast #machinelearning #artificialintelligence #ML #podcast