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Friday, February 14 • 1:00pm - 1:25pm
PRO SESSION: Agriculture 4.0: Growing Tomorrow’s Intelligence from Today’s Technology LIMITED

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We frequently hear companies talk about Industry 4.0, but what about Ag 4.0? The agriculture industry has hit a turning point, where technology is not just something that’s nice to have but it’s a necessity and a critical element in the success of the farm and revolutionizing the way the food on our plates is grown. Farmers deal with extremely high stakes every day, and ensuring that the technology delivers on what it promises is more important than in any other industry. However, bringing this level of intelligence to the farm requires data.

Agriculture machines of all types are now connected, serving as their own IoT-enabled factories that use intelligent data to operate more effectively and efficiently. Through IoT sensors, millions of data points are being gathered and enriched by real-time observations to inform and enable farmers to learn from millions of similar decisions across the world. Data is key to managing important variables tied to productivity and profitability, and with these in check, farmers can spend more time focusing on the operation’s other performance factors.

And the intelligence doesn’t stop there; just as farmers are learning from this swell of information, farming equipment is getting smarter too. Computer vision and sensors are integrated into machines to echo the farmer’s senses, with machine learning acting as the brain, analyzing data generated by the machine to make the right decision. By measuring every action customers take in the field, as well as the results of those actions, machines can learn from both failures and successes on every farm, crop and job each season. By applying those learnings, farmers will be set up for more successful and efficient farming.

However, while agriculture was an early adopter for technology reliant on, it wasn’t without its challenges. For example, a big challenge in developing analytics on IoT data is the issue of data quality, a similar problem faced by a multitude of industries outside of ag. In order for an organization to truly get value out of its data, teams responsible for capturing and defining the data must be aligned with those handling the analysis and insight generation. To add to this, companies also need to think about getting IoT data into a data environment, where it can be made valuable and lead to more powerful insights. Ensuring that teams are aligned around data quality is critical to receiving true value from IoT data.

John Deere’s Doug Sauder will address these challenges faced within the ag industry, and how other industries can apply lessons learned as they look to integrate data analysis into their own business operations. Doug, whose role in Applied Intelligence is to lead Deere’s efforts on using data and advanced analytics to make the company’s equipment more intelligent and automated, will also address:

• Real-time data analytics and data quality metrics in practice through examples of how IoT and data is creating business efficiency and revolutionizing working practices.
• High-value data that can be used to generate business intelligence.
• The use of cloud analytics platforms to derive value from IoT data.
• The barriers to widespread IoT, AI and big data value delivery and how to overcome them.

DeveloperWeek Speakers
avatar for Doug Sauder

Doug Sauder

Director, Digital Product Management & Analytics, John Deere Intelligent Solutions Group
Doug Sauder is the Director, Digital Product Management & Analytics for the John Deere Intelligent Solutions Group (ISG), where he leads efforts to leverage data and analytics to help farmers become more productive via improved equipment and digital tools. Prior to joining John Deere... Read More →


Friday February 14, 2020 1:00pm - 1:25pm PST
DeveloperWeek PRO Stage D (Room 208)