AI Meets Agriculture: Harvesting Actionable Insights with Machine Learning
In a recent survey conducted by Object Computing, Inc., 86% of respondents across a wide range of industries agreed that machine learning (ML) is essential to remaining competitive in today's economy, yet only 12% felt strongly that their organizations currently lead in its application.
That leaves approximately 74% who recognize a need to innovate using ML and AI but have yet to initiate a strategy that assists them in uncovering truly valuable data.
Our takeaway? Business leaders need a fast, uncomplicated path to ML implementation.
To meet this need, our team has developed a groundbreaking new solution that leverages proven ML patterns to significantly accelerate the process by which ML generates breakthrough predictive insights – insights that can be used to match products to customer needs, increase production process efficiencies, improve supply chain certainty, and more.
In this talk, we provide a sneak peek at this revolutionary new technology and demonstrate how the insights gleaned from its use can be used to improve processes and gain a competitive advantage across all industries, including agriculture.
Meet the Presenters
JAson Bull, Ph.D.
Vice President, Machine Learning
As Vice President, Machine Learning for Object Computing, Inc. (OCI), Dr. Jason Bull contributes more than 20 years of expertise inventing, operationalizing, and commercializing transformational technology and business models in agriculture. His passion is in helping clients see new opportunities in their businesses and developing new product lines. He brings a visionary, analytics-driven approach to his quest to co-create a better, more sustainable, and more prosperous future for farmers.
Jason was a key executive leader in a Fortune 500 agricultural biotechnology company where his work was recognized by Forbes for accelerating the development of analytics-driven decision models to transform an industry-leading, global R&D pipeline. He also pioneered the application of AI, Big Data, and IoT to create predictive digital advisors that are enabling digital farming and transforming agriculture.
Jason holds numerous patents, has been the recipient of multiple awards for technological innovation, and has served as a volunteer advisor for an economic empowerment initiative in Sri Lanka. When he's not fusing business innovation with technology innovation to change the world, he is focused on inclusion and development of women leaders in technology and cheering for his son, who is an inspiration in the special needs community.
Tonya Ehlmann, MBA
Director of Business Development, Machine Learning
As Director of Business Strategy Development, Machine Learning at Object Computing, Inc. (OCI), Tonya Ehlmann works with clients and partners to build technology solutions that connect systems and data, streamline decision-making, and accelerate speed to market through the power of artificial intelligence (AI).
Tonya has nearly twenty years of deep industry experience, recently serving as a key leader for a Fortune 500 agricultural biotechnology company. Her work has had global impact in the delivery of insect-resistant and herbicide-tolerant seed varieties that have transformed agriculture and improved rural prosperity.
Tonya also pioneered the application of AI, Big Data, and IoT to create predictive digital advisors that enable digital farming and create new value. She has a proven track record of building next-level teams where innovation, personal flair, and focused outcomes combine to ignite game-changing creativity that snowballs into industry-changing new value.
When she's not using technology to light up the world, Tonya focuses on inspiring a high-energy, creative environment where all team members can be their best selves. She is a role model of executive accomplishment for women in technology and is often seen on the soccer sidelines, proudly cheering as her son defends for Lutheran High School.