Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA

Robot farmers and chefs: In the field and in your kitchen

Tim Gasper (
11:50am12:30pm Wednesday, March 15, 2017
Sensors, IOT & Industrial Internet
Location: LL20 D Level: Advanced
Secondary topics:  Architecture, IoT, Streaming
Average rating: *****
(5.00, 1 rating)

Who is this presentation for?

  • Big data architects, technologists, data scientists, hackers, and tinkerers

Prerequisite knowledge

  • An intermediate understanding of common data science techniques, machine-learning approaches, and big data and IoT technology architectures

What you'll learn

  • Understand how to build the technology stack and implement the data science techniques that enable IoT-connected robotic systems for farm tech and kitchen tech—and inspire broader applications


Food production and preparation have always been labor and capital intensive. Today, these traditional industries are rapidly moving beyond technology and tools to support humans and into the realm of compete automation. With the internet of things, low-cost sensors, cloud-computing ubiquity, and big data analysis, farmers and chefs are being replaced with connected, big data robots—not just in the field but also in the kitchens of our homes and restaurants.

Internet-connected systems can be built with just commodity sensors and open source software that gather millions of sensor readings, transport those readings into the cloud, and process that information in real time and with large-scale, batch machine-learning engines. From farming to food shipment and logistics to food prep and cooking, we can:

  • Diagnose plant issues with image recognition
  • Automate food production in both outdoor and indoor environments
  • Automate food prep and even basic cooking functions
  • Learn in both unassisted and assisted ways to improve food taste, nutritional value, and food production yield
  • Collect and process thousands of sensor readings per second
  • Integrate natural language analysis or interfaces
  • Monitor complex robotics systems

Tim Gasper explores the tech stack, data science techniques, and use cases driving this revolution. You’ll learn about some very cool next-generation use cases in food production and food prep, the big data and IoT architectures that support those use cases, and how to implement the software and data science techniques that drives these innovations.

Photo of Tim Gasper

Tim Gasper

Tim Gasper is Director of Product at, the cloud data catalog company and largest open data community in the world. With over a decade of experience in product management, Tim has spent his entire career helping companies gain value from their data. He previously ran data product management for Janrain (now Akamai Identity Cloud), led product and marketing for Bitfusion, an artificial intelligence (AI) software company, led product for Rackspace’s Hadoop and NoSQL as a Service, and managed global offerings for CSC (now known as DXC) Big Data & Analytics business unit. Prior to that he was VP of Product at Infochimps, an enterprise big data cloud services company, acquired by CSC in 2013. Tim is a Case Western Reserve University alumnus, and writes and speaks on entrepreneurship, big data, data governance, and AI.