Download PDF
dotData
Overview
HQ Location
United States
Year Founded
2018
Company Type
Private
Revenue
< $10m
Employees
11 - 50
Website
Company Description
DotData delivers an end-to-end Data Science automation for the enterprise. Its Data Science automation platform speeds time to value by accelerating, democratizing, and operationalizing the entire Data Science process through automation. Founded in 2018, dotData is a spin off of NEC Corporation, and is led by Dr. Ryohei Fujimaki, a data scientist, and the youngest research fellow ever appointed in the 119-year history of NEC.
IoT Solutions
dotData frees your business to focus on the results of your AI and Machine Learning applications, not the headaches of the Data Science process by automating the full Data Science life-cycle.
Data Scientists
Accelerate Data Science projects from months to days with Feature Engineering Automation.
BA & BI Professionals
Empower BI and business analysts to execute AI & ML projects.
IT Professionals
Deploy full-cycle AI & ML pipeline in minutes, update in real-time with Continuous Deployment.
Executives & LOB
Discover the "unknown unknowns" of your business automatically with Data Science Automation.
Data Scientists
Accelerate Data Science projects from months to days with Feature Engineering Automation.
BA & BI Professionals
Empower BI and business analysts to execute AI & ML projects.
IT Professionals
Deploy full-cycle AI & ML pipeline in minutes, update in real-time with Continuous Deployment.
Executives & LOB
Discover the "unknown unknowns" of your business automatically with Data Science Automation.
IoT Snapshot
dotData is a provider of Industrial IoT platform as a service (paas), and analytics and modeling technologies, and also active in the finance and insurance, healthcare and hospitals, and retail industries.
Technology Stack
dotData’s Technology Stack maps dotData’s participation in the platform as a service (paas), and analytics and modeling IoT Technology stack.
-
Devices Layer
-
Edge Layer
-
Cloud Layer
-
Application Layer
-
Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
Similar Suppliers.
Supplier
FogHorn
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT applications. FogHorn’s software platform brings the power of Machine Learning and advanced analytics to the On-Premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, asset performance optimization, operational intelligence and Predictive Maintenance use cases.
Supplier
Neo4j
Neo4j is the graph company behind the #1 platform for connected data. The Neo4j graph platform helps organizations make sense of their data by revealing how people, processes and digital systems are interrelated. This connections-first approach powers intelligent applications tackling challenges such as Artificial Intelligence, fraud detection, real-time recommendations and master data. The company boasts the world's largest dedicated investment in native graph technology, has amassed more than ten million downloads, and has a huge developer community deploying graph applications around the globe. More than 250 commercial customers, including global enterprises like Walmart, Comcast, Cisco, eBay and UBS use Neo4j to create a competitive advantage from connections in their data. Neo4j is privately held and funded by Eight Roads Ventures (an investment arm of Fidelity International Limited), Sunstone Capital, Conor Venture Partners, Creandum, Dawn Capital and Greenbridge Investment Partners. Headquartered in San Mateo, Calif., Neo4j has regional offices in Sweden, Germany and the UK. For more information, please visit Neo4j.com and @Neo4j. All trademarks and registered trademarks, including Neo4j? are the property of their respective owners.
Supplier
DataRobot
DataRobot offers a Machine Learning platform for data scientists of all skill levels to build and deploy accurate predictive models in a fraction of the time it used to take. The technology addresses the critical shortage of data scientists by changing the speed and economics of predictive analytics.The DataRobot platform uses massively parallel processing to train and evaluate 1000's of models in R, Python, Spark MLlib, H2O and other open-source libraries. It searches through millions of possible combinations of algorithms, pre-processing steps, features, transformations, and tuning parameters to deliver the best models for your dataset and prediction target. The DataRobot platform evaluates hundreds of cutting-edge Machine Learning algorithms to discover, deploy, and customize the best Machine Learning models for every situation. It also delivers the most accurate insights at scale, providing the fastest path to Data Science success for organizations of all sizes. DataRobot was founded in June 2012 and is headquartered in Boston, Massachusetts, USA.