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Ari Siesser
Co-Founder of Automation Intelligence
Professional Background
Ari Siesser is a seasoned professional in the field of automation and machine learning, best known for his dynamic role as Co-Founder and Chief Scientist at Automation Intelligence. With a keen focus on optimizing automated material handling systems, Ari leverages groundbreaking academic research and industry best practices to deliver innovative solutions that enhance operational efficiency.
At Automation Intelligence, Ari plays a pivotal role in developing digital twins of manufacturing and warehousing facilities. His work allows for the virtual commissioning of robotic equipment, providing clients with an opportunity to simulate and validate automated systems before making significant investments. This pioneering approach, which includes rapid prototypes, empowers customers to “try before they buy,” significantly reducing risks associated with automation investments. Furthermore, Ari's strategies enable businesses to discover new methods to maximize their existing automated systems. By utilizing digital twins, clients can retrospectively assess their performance against AI's advanced algorithms, identifying factors that can lead to better outcomes.
Education and Achievements
Ari Siesser’s educational background is a testament to his commitment to excellence in the fields of machine learning and industrial engineering. He pursued his Doctor of Philosophy (Ph.D.) in Machine Learning at the prestigious Georgia Institute of Technology. Although he did not complete the Ph.D., the educational experience provided him invaluable insights and a robust foundation in the field.
Ari also holds a Master of Science (M.S.) in Analytics and a Bachelor of Science (B.S.) in Industrial Engineering, both acquired from Georgia Tech. His academic journey was marked by hands-on research that enhanced his skills and understanding of real-world applications of his studies.
While at Georgia Tech, Ari held two notable research positions that significantly shaped his professional trajectory. In the Interactive Optimization and Learning Lab, he focused on first-order methods to solve constrained convex optimization problems. This research is crucial in optimizing processes within various industries, enhancing decision-making efficiency. Additionally, at the Physical Internet Center, he dedicated his research efforts to supply chain optimization—further solidifying his expertise in the intersection of technology and operational efficiency.
Organizations and Career Path
Ari Siesser’s illustrious career began with roles that laid the groundwork for his expertise in automation and data science. Before co-founding Automation Intelligence, he served as a Senior Analyst at Cardlytics, Inc., where he leveraged data science techniques to drive business insights and strategies. His proficiency in data analysis and his hands-on experience in process improvement were further honed during his tenure as a Graduate Research Assistant at Georgia Tech and as a Process Excellence Intern at Cbeyond.
Ari's entrepreneurial spirit led him to become a Managing Member at Eden Property Group, LLC, and a Principal at Pinnacle ATM, Inc. These positions allowed him to apply his analytical skills and understanding of automated systems in diverse sectors, ultimately contributing to successful outcomes across different markets.
Ari's involvement in the academic community is also noteworthy, having served as a Graduate Student Ambassador at the Center for Machine Learning (ML@GT) at Georgia Tech. This role involved advocating for machine learning education and promoting collaboration within the community, reflecting his passion for fostering innovation and knowledge sharing among peers.
Achievements
Ari Siesser's achievements in the realm of automation and machine learning are impressive and numerous. His co-founding of Automation Intelligence stands out as a transformative venture that aims to reshape the landscape of automated material handling systems. By integrating the latest technologies with strategic methodologies, Ari is actively contributing to the evolution of how industries implement and utilize automation.
His research and publications during his time at Georgia Tech have added valuable insights to the fields of optimization and analytics, making him a respected thought leader among his peers. Ari's innovative approach has garnered attention from various industry stakeholders who are keen on exploring the future of automated solutions in manufacturing and warehousing.
In summary, Ari Siesser's career is characterized by a strong foundation in machine learning, innovative approaches to optimized automation, and an unwavering commitment to advancing industry standards. His journey from an academically driven Ph.D. candidate to a leading figure in technological innovation exemplifies the impact one can have through a blend of education, experience, and entrepreneurial vision. Ari continues to inspire others in the field of automation, paving the way for smarter, more efficient operational practices across various sectors.
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