- All
- Epidemiology & Health Care
- Food & Agriculture
- Information Systems/Technology
- Pharmaceutical
- Financial/Insurance/Real Estate
ONE OF THE MOST POWERFUL TOOLS FOR FINANCIAL DATA
“DataModeler is one of the most powerful tools available for analyzing financial data and constructing models which recognize hidden patterns amongst the avalanche of data that is used in trading. The reason for DataModeler’s advanced analysis powers rests with the high-level programming capability of Mathematica, on which it is built and for which it stands as an outstanding example of the type of complex tool that can be built using Mathematica. If one is serious about making profits in the markets then one needs a powerful tool like DataModeler.”
Dr. Michael Kelly
Wolfram Finance Technology Consultant, WRI, IL, U.S.A.
VARIABLE IMPORTANCE INSIGHTS FROM DATAMODELER
“We integrated consumer-oriented variable importance insights from DataModeler into a product design flow rapidly. DataModeler helped us identify the driving variable behind a consumer’s product preference in a matter of hours. From there, it was a rapid step to segment the consumers and design for each segment.”
Kalyan Veeramachaneni, Ph.D
Director, Data-to-AI, MIT, Cambridge, MA, USA
INCREDIBLE SPEED AND OUT-OF-THE-BOX PERFORMANCE
“With DataModeler we were able to model a data set with 32 attributes and over 10,000 rows in less than an hour. The ensemble it produced was far more accurate than anything else we’ve seen. This is incredible out-of-the-box performance..”
Dr. Conor Ryan
Director at the Biocomputing and Developmental Systems Group in the Computer Science and Information Systems Department at the University of Limerick, Ireland
ROBUST CAPABILITIES FOR DIFFICULT PROBLEMS
“I have used it with success to explore optimal insurance contracts, issues in legal education and a host of other difficult problems. Often producing results that are superior to those from neural networks and that end up more amenable to traditional statistical analysis, DataModeler never fails to astound me with its robustness, its capabilities, and its ever-growing network of documentation.”
Prof. Seth J. Chandler
Foundation Professor of Law, Director of the Program on Law and Computation, University of Houston Law Center, U.S.A.
PROVIDES QUICK TIME TO INSIGHT AND PUBLICATION-READY OUTPUT
“At Economy Monitor we evaluated genetic programming software from multiple vendors before choosing DataModeler. Evolved Analytics has created a unique technology that offers the flexibility of visualization-based exploration (suitable for data scientists) while allowing for rigorous statistical and scientific analysis. DataModeler simultaneously provides quick time to insight, and publication-ready output — thus, unrivaled research ROI.”
Percy Venegas
Chief Scientist, Economy Monitor
FRIGHTENING SPEED AND EFFICIENCY
“DataModeler is one of those rare products that changes the way you think. It ends any excuse for extending an assumption of linearity in modeling beyond the domains in which it is truly appropriate. Using brilliant and flexible design that is itself the result of years of evolution, DataModeler harnesses natural selection to hunt down from the infinite computational universe and with frightening speed and efficiency ensembles of parsimonious non-linear models that predict well.”
Prof. Seth J. Chandler
Foundation Professor of Law, Director of the Program on Law and Computation, University of Houston Law Center, U.S.A.
DATAMODELER IS AHEAD BECAUSE IT GENERATES TRUSTABLE MODELS
“The genetic programming approach for risk hedging will become central to algorithmic finance. First, idealized economic decision making models can not capture the complexity of human and human-machine behavior: only empirical time series models can. Second, in a world where information is abundant but attention and trustworthiness are scarce, value does not depend only on what we know, but on how much we can trust what we think we know. DataModeler is ahead because it generates trustable models.”
Percy Venegas
Chief Scientist, Economy Monitor
QUICKLY DETERMINE THE OPTIMAL MANUFACTURING PARAMETERS
“To keep our manufacturing operations as efficient and sustainable as possible, we constantly work to improve our understanding of the mechanisms and underlying correlations that make agricultural active ingredients effective. In few hours, DataModeler gave us a set of explicit, non-linear models that improved our understanding of how key product variables changed with the manufacturing inputs. Other machine learning models which we have tried, are either linear and miss the non-linear interactions, or give a black box model that does not provide any learning. They did not provide the level of visibility that leads to greater understanding and were not nearly as accurate in their ability to predict accurate outcomes. The models were able to quickly determine the optimal manufacturing parameters needed to reliably and efficiently produce the specialized product intended.”
Sweta Somasi
Manufacturing Technology Scientist, Corteva Agriscience
DATAMODELER IS A KING OF MACHINE LEARNING
“I started learning machine learning (ML) and deep learning. In a course, a sheet of data was given to do regression analysis. The data had so-called multiple co-linearity. I ran DataModeler for 3 hours and got a function plot [with] 1- R^2 equivalent with Scaled Vector Modeling. This value would be the lowest (best) one any ML can reach with the dataset. And it can be attained by anyone using DataModeler with little knowledge of ML. So, I’d like to call DataModeler a king of ML. It should be more widely used in the world.”
Kazuhiro Iwadoh
Tokyo Women’s Medical University, Japan
Kazuhiro Iwadoh researches organ transplants
SUPPORTS THE DEMANDING WORKFLOWS OF SPECIALISTS AND SCIENTISTS
“DataModeler makes applied genetic programming accessible to practitioners across different disciplines, while being also robust to support the demanding workflows of specialists and scientists.”
Percy Venegas
Chief Scientist, Economy Monitor
POWERFUL SOFTWARE TO ENHANCE THE SCOPE AND IMPACT OF RESEARCH
“Evolved Analytics is both a team member and industry partner. They are engaged at a level that is comparable to (or greater than!) many core CMaT academic team members. They train CMaT students and faculty on the use of the powerful software and in the process teaches many of us new concepts. Without a doubt, Evolved Analytics has enhanced the scope and impact of Thrust 1.”
Art Edison
CMaT Thrust 1 Co-leader, University of Georgia, U.S.A.
CMaT is the National Science Foundation’s (NSF) Engineering Research Center for Cell Manufacturing Technology. Thrust 1 is Cell-Omics: Comprehensive Characterization, Big-Data Analytics, and Computational Modeling to Identify Predictive Cell Therapy Biomarkers.
“Evolved Analytics is both a team member and industry partner. They are engaged at a level that is comparable to (or greater than!) many core CMaT academic team members. They train CMaT students and faculty on the use of the powerful software and in the process teaches many of us new concepts. Without a doubt, Evolved Analytics has enhanced the scope and impact of Thrust 1.”
Art Edison
CMaT Thrust 1 Co-leader, University of Georgia, U.S.A.
CMaT is the National Science Foundation’s (NSF) Engineering Research Center for Cell Manufacturing Technology. Thrust 1 is Cell-Omics: Comprehensive Characterization, Big-Data Analytics, and Computational Modeling to Identify Predictive Cell Therapy Biomarkers.
“I started learning machine learning (ML) and deep learning. In a course, a sheet of data was given to do regression analysis. The data had so-called multiple co-linearity. I ran DataModeler for 3 hours and got a function plot [with] 1- R^2 equivalent with Scaled Vector Modeling. This value would be the lowest (best) one any ML can reach with the dataset. And it can be attained by anyone using DataModeler with little knowledge of ML. So, I’d like to call DataModeler a king of ML. It should be more widely used in the world.”
Kazuhiro Iwadoh
Tokyo Women’s Medical University, Japan
Kazuhiro Iwadoh researches organ transplant.
“To keep our manufacturing operations as efficient and sustainable as possible, we constantly work to improve our understanding of the mechanisms and underlying correlations that make agricultural active ingredients effective. In few hours, DataModeler gave us a set of explicit, non-linear models that improved our understanding of how key product variables changed with the manufacturing inputs. Other machine learning models which we have tried, are either linear and miss the non-linear interactions, or give a black box model that does not provide any learning. They did not provide the level of visibility that leads to greater understanding and were not nearly as accurate in their ability to predict accurate outcomes. The models were able to quickly determine the optimal manufacturing parameters needed to reliably and efficiently produce the specialized product intended.”
Sweta Somasi
Manufacturing Technology Scientist, Corteva Agriscience
INCREDIBLE SPEED AND OUT-OF-THE-BOX PERFORMANCE
“With DataModeler we were able to model a data set with 32 attributes and over 10,000 rows in less than an hour. The ensemble it produced was far more accurate than anything else we’ve seen. This is incredible out-of-the-box performance.”
Dr. Conor Ryan
Director at the Biocomputing and Developmental Systems Group in the Computer Science and Information Systems Department at the University of Limerick, Ireland
PROVIDES QUICK TIME TO INSIGHT AND PUBLICATION-READY OUTPUT
“At Economy Monitor we evaluated genetic programming software from multiple vendors before choosing DataModeler. Evolved Analytics has created a unique technology that offers the flexibility of visualization-based exploration (suitable for data scientists) while allowing for rigorous statistical and scientific analysis. DataModeler simultaneously provides quick time to insight, and publication-ready output — thus, unrivaled research ROI.”
Percy Venegas
Chief Scientist, Economy Monitor
SUPPORTS THE DEMANDING WORKFLOWS OF SPECIALISTS AND SCIENTISTS
“DataModeler makes applied genetic programming accessible to practitioners across different disciplines, while being also robust to support the demanding workflows of specialists and scientists.”
Percy Venegas
ONE OF THE MOST POWERFUL TOOLS FOR FINANCIAL DATA
“DataModeler is one of the most powerful tools available for analyzing financial data and constructing models which recognize hidden patterns amongst the avalanche of data that is used in trading. The reason for DataModeler’s advanced analysis powers rests with the high-level programming capability of Mathematica, on which it is built and for which it stands as an outstanding example of the type of complex tool. that can be built using Mathematica. If one is serious about making profits in the markets then one needs a powerful tool like Data Modeler.”
Dr. Michael Kelly
Wolfram Finance Technology Consultant, WRI, IL, U.S.A.
DATAMODELER IS AHEAD BECAUSE IT GENERATES TRUSTABLE MODELS
“The genetic programming approach for risk hedging will become central to algorithmic finance. First, idealized economic decision making models can not capture the complexity of human and human-machine behavior: only empirical time series models can. Second, in a world where information is abundant but attention and trustworthiness are scarce, value does not depend only on what we know, but on how much we can trust what we think we know. DataModeler is ahead because it generates trustable models.”
Percy Venegas
Chief Scientist, Economy Monitor
“Evolved Analytics is both a team member and industry partner. They are engaged at a level that is comparable to (or greater than!) many core CMaT academic team members. They train CMaT students and faculty on the use of the powerful software and in the process teaches many of us new concepts. Without a doubt, Evolved Analytics has enhanced the scope and impact of Thrust 1.”
Art Edison
CMaT Thrust 1 Co-leader, University of Georgia, U.S.A.
CMaT is the National Science Foundation’s (NSF) Engineering Research Center for Cell Manufacturing Technology. Thrust 1 is Cell-Omics: Comprehensive Characterization, Big-Data Analytics, and Computational Modeling to Identify Predictive Cell Therapy Biomarkers.
ONE OF THE MOST POWERFUL TOOLS FOR FINANCIAL DATA
“DataModeler is one of the most powerful tools available for analyzing financial data and constructing models which recognize hidden patterns amongst the avalanche of data that is used in trading. The reason for DataModeler’s advanced analysis powers rests with the high-level programming capability of Mathematica, on which it is built and for which it stands as an outstanding example of the type of complex tool that can be built using Mathematica. If one is serious about making profits in the markets then one needs a powerful tool like DataModeler.”
Dr. Michael Kelly
Wolfram Finance Technology Consultant, WRI, IL, U.S.A.
“The genetic programming approach for risk hedging will become central to algorithmic finance. First, idealized economic decision making models can not capture the complexity of human and human-machine behavior: only empirical time series models can. Second, in a world where information is abundant but attention and trustworthiness are scarce, value does not depend only on what we know, but on how much we can trust what we think we know. DataModeler is ahead because it generates trustable models.”
Percy Venegas
Chief Scientist, Economy Monitor
All
“DataModeler is one of the most powerful tools available for analyzing financial data and constructing models which recognize hidden patterns amongst the avalanche of data that is used in trading. The reason for DataModeler’s advanced analysis powers rests with the high-level programming capability of Mathematica, on which it is built and for which it stands as an outstanding example of the type of complex tool. that can be built using Mathematica. If one is serious about making profits in the markets then one needs a powerful tool like DataModeler.”
Dr. Michael Kelly
Wolfram Finance Technology Consultant, WRI, IL, U.S.A.
VARIABLE IMPORTANCE INSIGHTS FROM DATAMODELER
“We integrated consumer-oriented variable importance insights from DataModeler into a product design flow rapidly. DataModeler helped us identify the driving variable behind a consumer’s product preference in a matter of hours. From there, it was a rapid step to segment the consumers and design for each segment.”
Kalyan Veeramachaneni, Ph.D
Director, Data-to-AI, MIT, Cambridge, MA, USA
INCREDIBLE SPEED AND OUT-OF-THE-BOX PERFORMANCE
“With DataModeler we were able to model a data set with 32 attributes and over 10,000 rows in less than an hour. The ensemble it produced was far more accurate than anything else we’ve seen. This is incredible out-of-the-box performance..”
Dr. Conor Ryan
Director at the Biocomputing and Developmental Systems Group in the Computer Science and Information Systems Department at the University of Limerick, Ireland
ROBUST CAPABILITIES FOR DIFFICULT PROBLEMS
“I have used it with success to explore optimal insurance contracts, issues in legal education and a host of other difficult problems. Often producing results that are superior to those from neural networks and that end up more amenable to traditional statistical analysis, DataModeler never fails to astound me with its robustness, its capabilities, and its ever-growing network of documentation.”
Prof. Seth J. Chandler
Foundation Professor of Law, Director of the Program on Law and Computation, University of Houston Law Center, U.S.A.
PROVIDES QUICK TIME TO INSIGHT AND PUBLICATION-READY OUTPUT
“At Economy Monitor we evaluated genetic programming software from multiple vendors before choosing DataModeler. Evolved Analytics has created a unique technology that offers the flexibility of visualization-based exploration (suitable for data scientists) while allowing for rigorous statistical and scientific analysis. DataModeler simultaneously provides quick time to insight, and publication-ready output — thus, unrivaled research ROI.”
Percy Venegas
Chief Scientist, Economy Monitor
FRIGHTENING SPEED AND EFFICIENCY
“DataModeler is one of those rare products that changes the way you think. It ends any excuse for extending an assumption of linearity in modeling beyond the domains in which it is truly appropriate. Using brilliant and flexible design that is itself the result of years of evolution, DataModeler harnesses natural selection to hunt down from the infinite computational universe and with frightening speed and efficiency ensembles of parsimonious non-linear models that predict well.”
Prof. Seth J. Chandler
Foundation Professor of Law, Director of the Program on Law and Computation, University of Houston Law Center, U.S.A.
Epidemiology & Health Care
“Evolved Analytics is both a team member and industry partner. They are engaged at a level that is comparable to (or greater than!) many core CMaT academic team members. They train CMaT students and faculty on the use of the powerful software and in the process teaches many of us new concepts. Without a doubt, Evolved Analytics has enhanced the scope and impact of Thrust 1.”
Art Edison
CMaT Thrust 1 Co-leader, University of Georgia, U.S.A.
CMaT is the National Science Foundation’s (NSF) Engineering Research Center for Cell Manufacturing Technology. Thrust 1 is Cell-Omics: Comprehensive Characterization, Big-Data Analytics, and Computational Modeling to Identify Predictive Cell Therapy Biomarkers.
DATAMODELER IS A KING OF MACHINE LEARNING
“I started learning machine learning (ML) and deep learning. In a course, a sheet of data was given to do regression analysis. The data had so-called multiple co-linearity. I ran DataModeler for 3 hours and got a function plot [with] 1- R^2 equivalent with Scaled Vector Modeling. This value would be the lowest (best) one any ML can reach with the dataset. And it can be attained by anyone using DataModeler with little knowledge of ML. So, I’d like to call DataModeler a king of ML. It should be more widely used in the world.”
Kazuhiro Iwadoh
Tokyo Women’s Medical University, Japan
Kazuhiro Iwadoh researches organ transplant.
Food & Agriculture
“To keep our manufacturing operations as efficient and sustainable as possible, we constantly work to improve our understanding of the mechanisms and underlying correlations that make agricultural active ingredients effective. In few hours, DataModeler gave us a set of explicit, non-linear models that improved our understanding of how key product variables changed with the manufacturing inputs. Other machine learning models which we have tried, are either linear and miss the non-linear interactions, or give a black box model that does not provide any learning. They did not provide the level of visibility that leads to greater understanding and were not nearly as accurate in their ability to predict accurate outcomes. The models were able to quickly determine the optimal manufacturing parameters needed to reliably and efficiently produce the specialized product intended.”
Sweta Somasi
Manufacturing Technology Scientist, Corteva Agriscience
Information Systems/Technology
“With DataModeler we were able to model a data set with 32 attributes and over 10,000 rows in less than an hour. The ensemble it produced was far more accurate than anything else we’ve seen. This is incredible out-of-the-box performance.”
Dr. Conor Ryan
Director at the Biocomputing and Developmental Systems Group in the Computer Science and Information Systems Department at the University of Limerick, Ireland
PROVIDES QUICK TIME TO INSIGHT AND PUBLICATION-READY OUTPUT
“At Economy Monitor we evaluated genetic programming software from multiple vendors before choosing DataModeler. Evolved Analytics has created a unique technology that offers the flexibility of visualization-based exploration (suitable for data scientists) while allowing for rigorous statistical and scientific analysis. DataModeler simultaneously provides quick time to insight, and publication-ready output — thus, unrivaled research ROI.”
Percy Venegas
Chief Scientist, Economy Monitor
SUPPORTS THE DEMANDING WORKFLOWS OF SPECIALISTS AND SCIENTISTS
“DataModeler makes applied genetic programming accessible to practitioners across different disciplines, while being also robust to support the demanding workflows of specialists and scientists.”
Percy Venegas
ONE OF THE MOST POWERFUL TOOLS FOR FINANCIAL DATA
“DataModeler is one of the most powerful tools available for analyzing financial data and constructing models which recognize hidden patterns amongst the avalanche of data that is used in trading. The reason for DataModeler’s advanced analysis powers rests with the high-level programming capability of Mathematica, on which it is built and for which it stands as an outstanding example of the type of complex tool. that can be built using Mathematica. If one is serious about making profits in the markets then one needs a powerful tool like Data Modeler.”
Dr. Michael Kelly
Wolfram Finance Technology Consultant, WRI, IL, U.S.A.
DATAMODELER IS AHEAD BECAUSE IT GENERATES TRUSTABLE MODELS
“The genetic programming approach for risk hedging will become central to algorithmic finance. First, idealized economic decision making models can not capture the complexity of human and human-machine behavior: only empirical time series models can. Second, in a world where information is abundant but attention and trustworthiness are scarce, value does not depend only on what we know, but on how much we can trust what we think we know. DataModeler is ahead because it generates trustable models.”
Percy Venegas
Chief Scientist, Economy Monitor
Pharmaceutical
“Evolved Analytics is both a team member and industry partner. They are engaged at a level that is comparable to (or greater than!) many core CMaT academic team members. They train CMaT students and faculty on the use of the powerful software and in the process teaches many of us new concepts. Without a doubt, Evolved Analytics has enhanced the scope and impact of Thrust 1.”
Art Edison
CMaT Thrust 1 Co-leader, University of Georgia, U.S.A.
CMaT is the National Science Foundation’s (NSF) Engineering Research Center for Cell Manufacturing Technology. Thrust 1 is Cell-Omics: Comprehensive Characterization, Big-Data Analytics, and Computational Modeling to Identify Predictive Cell Therapy Biomarkers.
Financial/Insurance/Real Estate
ONE OF THE MOST POWERFUL TOOLS FOR FINANCIAL DATA
“DataModeler is one of the most powerful tools available for analyzing financial data and constructing models which recognize hidden patterns amongst the avalanche of data that is used in trading. The reason for DataModeler’s advanced analysis powers rests with the high-level programming capability of Mathematica, on which it is built and for which it stands as an outstanding example of the type of complex tool that can be built using Mathematica. If one is serious about making profits in the markets then one needs a powerful tool like DataModeler.”
Dr. Michael Kelly
Wolfram Finance Technology Consultant, WRI, IL, U.S.A.
DATAMODELER IS AHEAD BECAUSE IT GENERATES TRUSTABLE MODELS
“The genetic programming approach for risk hedging will become central to algorithmic finance. First, idealized economic decision making models can not capture the complexity of human and human-machine behavior: only empirical time series models can. Second, in a world where information is abundant but attention and trustworthiness are scarce, value does not depend only on what we know, but on how much we can trust what we think we know. DataModeler is ahead because it generates trustable models.”
Percy Venegas
Chief Scientist, Economy Monitor
Evolved Analytics LLC
PO Box 676225
Rancho Santa Fe, CA 92067
USA
+1-989-785-0513
info@evolved-analytics.com