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CrowdFlower March Events

The CrowdFlower team has a busy March ahead. We’ll be attending and speaking at five different conferences in Palm Springs, San Francisco, Las Vegas and New York City. If you’re attending any of these events, stop by our booth to talk with our team and learn more about our human-in-the-loop platform.



eTail West- February 27-March 2, JW Marriott, Palm Springs, CA

From the conference website:

eTail is where the top minds at America’s most successful retailers meet and learn. We give you the most disruptive content, designed to help you optimize the profits from your business. Over 220+ speakers representing the best from America’s largest retailers, to innovative startups and eCommerce disruptors. We purposely find the executives that are in trenches, doing the dirty work – so they can tell you the why, how, and what they would change next time. Our content is all about your growth and education.

Come visit the CrowdFlower team at Table 10. We’re excited to showcase our platform. Use our discount code to receive 25% off registration: ETW17CROWDFLOWER.


AI by the Bay – March 6-8, The Pearl, San Francisco, CA

From the conference website:

AI By the Bay is a technical conference defining AI in the context of startups and enterprises. We start with a rigorous introduction to AI by the hands-on industry leaders, live-coding the major open-source AI implementations to highlight the key algorithms, data pipelines, and application context. We dig deep into autonomous transportation as an industry deploying Deep Learning at scale and transforming most rapidly. We end with a groundbreaking day of AI strategy defined by the full-stack AI leaders who both build AI and define its strategy and future.

Lukas Biewald, our Co-Founder, will be speaking at The Real Future of AI Panel on Wednesday, March 8 from 5:10 – 6 pm. We’ll also be sponsoring the 3-day event, stop by our booth to talk with our team.  


ShopTalk – March 19-22, Aria, Las Vegas, NV

From the conference website:

Shoptalk is the new blockbuster retail and ecommerce event. It covers the rapid evolution of how consumers discover, shop and buy—from new technologies and business models to changes in consumer preferences and expectations.

Randi Barshack, VP of Marketing, will be speaking at the event. You can visit us at Startup Row SR58 to learn how the CrowdFlower platform has helped e-commerce companies increase their revenue. Receive $150 off registration using our promo code: CrowdF150.


Machine Intelligence Summit – March 23-24, South San Francisco Conference Center, San Francisco, CA

From the conference website:

The Machine Intelligence Summit brings together senior industry leaders, influential technologists, data scientists, founders, CEOs, CTOs and data engineers to collaborate and reshape the future. Gain insight into future AI trends and advanced machine learning through the world’s leading innovators and decision-makers.

Nick Gaylord, Senior Data Scientist, will be speaking at the panel: How Can Machine Intelligence Impact Business & Society? The panel will be on Thursday, March 23 at 3:50 pm.  Visit us at our booth to discuss AI, machine learning and more.


MLConf – March 24, 230 FIFTH, New York City, NY

From the conference website:

MLconf events host speakers from various industries, research and universities. MLconf aims to create an atmosphere to discuss recent research and application of Machine Learning methodologies and practices and how they’re presently applied in industry. Each event is a single-track, single-day event, composed of 14-16 presentations, averaging 25 minutes in length. The goal of this format is for attendees to take home practical tips and methods to apply in their own work; as well as cited papers, code samples and work to reference for their own research.

CrowdFlower is excited to be sponsoring another MLConf event, this time in New York City. Visit our booth to chat with our team and see a demo of the CrowdFlower platform.


Can’t make any of these events? Join us for Train AI on May 17, an event focused on making machine learning work in a human world. Click here for more details.