WEBINAR / EVENT
Add Decision Making to Your Databricks Toolkit with Mathematical Optimization
Solve the most complex decision intelligence problems at scale by unlocking the potential of mathematical optimization.
October 12 2023
WEBINAR / EVENT
Add Decision Making to Your Databricks Toolkit with Mathematical Optimization
Solve the most complex decision intelligence problems at scale by unlocking the potential of mathematical optimization.
October 12 2023
WEBINAR / EVENT
Add Decision Making to Your Databricks Toolkit with Mathematical Optimization
Solve the most complex decision intelligence problems at scale by unlocking the potential of mathematical optimization.
October 12 2023
On-Demand Webinar
Add Decision Making to Your Databricks Toolkit with Mathematical Optimization
Join us for the on-demand webinar “Add Decision Making to your Databricks Toolkit with Mathematical Optimization”, presented by Gurobi Optimization and Aimpoint Digital. Solve the most complex decision intelligence problems at scale by unlocking the potential of mathematical optimization and understand how Databricks, renowned for its machine learning capabilities, can be a catalyst in your journey.
In this webinar, we will cover:
The power of Databricks in handling vast datasets and its seamless integration with machine learning, setting the foundation for robust optimization techniques
The value mathematical optimization can bring to decision making and its superiority over heuristic processes
The synergy of mathematical optimization and machine learning for enhancing the efficacy and precision of decision support systems
Whether you’re an operations research professional aiming to implement optimization models at scale or a data scientist looking to enhance decision making in your organization, this webinar promises a wealth of knowledge.
Take advantage of this opportunity to stay ahead of the curve in both data science and optimization. Watch now!
Additional Resources:
Go from Predictions to Decisions video
Gurobi Quick Start guides
On-Demand Webinar
Add Decision Making to Your Databricks Toolkit with Mathematical Optimization
Join us for the on-demand webinar “Add Decision Making to your Databricks Toolkit with Mathematical Optimization”, presented by Gurobi Optimization and Aimpoint Digital. Solve the most complex decision intelligence problems at scale by unlocking the potential of mathematical optimization and understand how Databricks, renowned for its machine learning capabilities, can be a catalyst in your journey.
In this webinar, we will cover:
The power of Databricks in handling vast datasets and its seamless integration with machine learning, setting the foundation for robust optimization techniques
The value mathematical optimization can bring to decision making and its superiority over heuristic processes
The synergy of mathematical optimization and machine learning for enhancing the efficacy and precision of decision support systems
Whether you’re an operations research professional aiming to implement optimization models at scale or a data scientist looking to enhance decision making in your organization, this webinar promises a wealth of knowledge.
Take advantage of this opportunity to stay ahead of the curve in both data science and optimization. Watch now!
Additional Resources:
Go from Predictions to Decisions video
Gurobi Quick Start guides
On-Demand Webinar
Add Decision Making to Your Databricks Toolkit with Mathematical Optimization
Join us for the on-demand webinar “Add Decision Making to your Databricks Toolkit with Mathematical Optimization”, presented by Gurobi Optimization and Aimpoint Digital. Solve the most complex decision intelligence problems at scale by unlocking the potential of mathematical optimization and understand how Databricks, renowned for its machine learning capabilities, can be a catalyst in your journey.
In this webinar, we will cover:
The power of Databricks in handling vast datasets and its seamless integration with machine learning, setting the foundation for robust optimization techniques
The value mathematical optimization can bring to decision making and its superiority over heuristic processes
The synergy of mathematical optimization and machine learning for enhancing the efficacy and precision of decision support systems
Whether you’re an operations research professional aiming to implement optimization models at scale or a data scientist looking to enhance decision making in your organization, this webinar promises a wealth of knowledge.
Take advantage of this opportunity to stay ahead of the curve in both data science and optimization. Watch now!
Additional Resources:
Go from Predictions to Decisions video
Gurobi Quick Start guides
register
Secure Your Spot Today!
Don't miss out on these invaluable insights. Register now to revolutionize your customer engagement strategy.
register
Secure Your Spot Today!
Don't miss out on these invaluable insights. Register now to revolutionize your customer engagement strategy.
register
Secure Your Spot Today!
Don't miss out on these invaluable insights. Register now to revolutionize your customer engagement strategy.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Yash Puranik
Principal Data Scientist
Yash is a Principal Data Scientist with deep expertise in the development and implementation of optimization and machine learning algorithms. Yash is particularly interested in helping clients derive value by leveraging data science and optimization techniques to solve practical problems.
Prior to joining Aimpoint Digital, Yash was an Optimization Research Scientist at The Optimization Firm, where he contributed to the development of state-of-the-art optimization solver BARON. Before this, Yash was a Research Scientist at Rockwell Automation, where Yash developed novel algorithms for learning on streaming data, which led to multiple patents. Yash obtained his PhD in Chemical Engineering from Carnegie Mellon University.
Jerry Yurchisin
Senior Data Science Strategist
Mr. Yurchisin has over ten years’ experience applying operations research, machine learning, statistics, and data visualization to improve decision making. Before joining Gurobi, Jerry (who also goes by Jerome) was a Senior Consultant at OnLocation, Inc. where he customized several linear programming models within the National Energy Modeling System (NEMS) to analyze implementing specific energy policies and utilizing new technologies.
Prior to OnLocation, Jerry was an Operations Research Analyst & Data Scientist at Booz Allen Hamilton for over seven years. There he formulated scheduling and staffing integer programming models for the US Coast Guard, as well as led a project to quantify the maritime risks of offshore energy installations with the Research & Development Center. Further, Jerry was the technical lead on several Coast Guard studies including Living Marine Resources and Maritime Domain Awareness, providing statistical analysis and building supervised and unsupervised machine learning models. He also performed statistical analyses, machine learning modeling, and data visualization for cyberspace directorates at DoD and DHS.
Jerry has several years of experience teaching a wide variety of college-level mathematics and statistics courses and has a passion for education. He also enjoys golfing, biking, and writing about sports from an analytics point of view. He lives in Alexandria, Virginia with his wife, son, and two dogs.
Jerry holds B.S., Ed. and M.S., Mathematics degrees from Ohio University and an M.S. in Operations Research and Statistics from The University of North Carolina at Chapel Hill.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Yash Puranik
Principal Data Scientist
Yash is a Principal Data Scientist with deep expertise in the development and implementation of optimization and machine learning algorithms. Yash is particularly interested in helping clients derive value by leveraging data science and optimization techniques to solve practical problems.
Prior to joining Aimpoint Digital, Yash was an Optimization Research Scientist at The Optimization Firm, where he contributed to the development of state-of-the-art optimization solver BARON. Before this, Yash was a Research Scientist at Rockwell Automation, where Yash developed novel algorithms for learning on streaming data, which led to multiple patents. Yash obtained his PhD in Chemical Engineering from Carnegie Mellon University.
Jerry Yurchisin
Senior Data Science Strategist
Mr. Yurchisin has over ten years’ experience applying operations research, machine learning, statistics, and data visualization to improve decision making. Before joining Gurobi, Jerry (who also goes by Jerome) was a Senior Consultant at OnLocation, Inc. where he customized several linear programming models within the National Energy Modeling System (NEMS) to analyze implementing specific energy policies and utilizing new technologies.
Prior to OnLocation, Jerry was an Operations Research Analyst & Data Scientist at Booz Allen Hamilton for over seven years. There he formulated scheduling and staffing integer programming models for the US Coast Guard, as well as led a project to quantify the maritime risks of offshore energy installations with the Research & Development Center. Further, Jerry was the technical lead on several Coast Guard studies including Living Marine Resources and Maritime Domain Awareness, providing statistical analysis and building supervised and unsupervised machine learning models. He also performed statistical analyses, machine learning modeling, and data visualization for cyberspace directorates at DoD and DHS.
Jerry has several years of experience teaching a wide variety of college-level mathematics and statistics courses and has a passion for education. He also enjoys golfing, biking, and writing about sports from an analytics point of view. He lives in Alexandria, Virginia with his wife, son, and two dogs.
Jerry holds B.S., Ed. and M.S., Mathematics degrees from Ohio University and an M.S. in Operations Research and Statistics from The University of North Carolina at Chapel Hill.
Speakers
Meet Your Expert Speaker
Learn from the best in the industry, bringing years of experience and groundbreaking insights to the forefront of AI personalization.
Principal Data Scientist
Yash Puranik
Yash is a Principal Data Scientist with deep expertise in the development and implementation of optimization and machine learning algorithms. Yash is particularly interested in helping clients derive value by leveraging data science and optimization techniques to solve practical problems.
Prior to joining Aimpoint Digital, Yash was an Optimization Research Scientist at The Optimization Firm, where he contributed to the development of state-of-the-art optimization solver BARON. Before this, Yash was a Research Scientist at Rockwell Automation, where Yash developed novel algorithms for learning on streaming data, which led to multiple patents. Yash obtained his PhD in Chemical Engineering from Carnegie Mellon University.
Senior Data Science Strategist
Jerry Yurchisin
Mr. Yurchisin has over ten years’ experience applying operations research, machine learning, statistics, and data visualization to improve decision making. Before joining Gurobi, Jerry (who also goes by Jerome) was a Senior Consultant at OnLocation, Inc. where he customized several linear programming models within the National Energy Modeling System (NEMS) to analyze implementing specific energy policies and utilizing new technologies.
Prior to OnLocation, Jerry was an Operations Research Analyst & Data Scientist at Booz Allen Hamilton for over seven years. There he formulated scheduling and staffing integer programming models for the US Coast Guard, as well as led a project to quantify the maritime risks of offshore energy installations with the Research & Development Center. Further, Jerry was the technical lead on several Coast Guard studies including Living Marine Resources and Maritime Domain Awareness, providing statistical analysis and building supervised and unsupervised machine learning models. He also performed statistical analyses, machine learning modeling, and data visualization for cyberspace directorates at DoD and DHS.
Jerry has several years of experience teaching a wide variety of college-level mathematics and statistics courses and has a passion for education. He also enjoys golfing, biking, and writing about sports from an analytics point of view. He lives in Alexandria, Virginia with his wife, son, and two dogs.
Jerry holds B.S., Ed. and M.S., Mathematics degrees from Ohio University and an M.S. in Operations Research and Statistics from The University of North Carolina at Chapel Hill.
