about Dataminr
Dataminr is recognized as one of the world's leading AI businesses. The company’s clients are the first to know about high-impact events and emerging risks so they can mitigate and manage crises more effectively. Dataminr solutions are relied on 24/7 by hundreds of clients in over 70 countries to help them solve real-world problems. Dataminr is one of New York's top private technology companies, with nearly 650 employees across seven global offices.
Real-time AI for Event and Risk Detection
Dataminr’s real-time AI platform detects the earliest signals of high-impact events and emerging risks from within publicly available data. Dataminr has been pioneering AI/ML systems for real-time event detection since 2010, when we filed our first Natural Language Processing and Machine Learning patent for detecting events in micro blogs. Our team of data scientists, engineers, and researchers use a range of Deep Learning AI methods from a number of scientific fields, ranging from Natural Language Processing, Natural Language Understanding, Natural Language Generation, Computer Vision, Audio Processing and Classification, and Anomaly Detection on both Machine and Human-Generated Public Data Streams.
Webinars
Join Dataminr’s Senior Vice President of Product, Michael Affronti, and Vice President of Customer Success, Emily Gates, for a discussion about:
The role that real-time information plays in every stage of the COVID-19 response
Business trends we’re seeing based on public data
How to best position your business for success in a post-COVID era
3 Best Practices for Using Real-time Information to Manage a Crisis
Modern risk management is a highly collaborative exercise. Forward-thinking companies know that risk management cannot be confined to a single department or performed on an ad hoc basis inside operational silos. Teams must share a common view into the specific details around a crisis, and use real-time information as a group to make better business decisions.
Join Dataminr’s VP of Customer Success, Ed Oliver, and VP of Product Marketing, Brooks Crichlow, for a discussion on:
How to categorize and assign responsibility to the four major types of corporate risk
The role of real-time information as a catalyst for action in risk management
The importance of democratizing access to information during a crisis
Ellie May Case Study:
Real-time information is a vital catalyst for action at Silicon Valley-based software company Ellie Mae. Read the case study to learn how the company used Dataminr to protect their employees in the Midwest, following a devastating cyclone in 2019.
Hollywood Case Study:
Hollywood film studios face a dynamic and ever-changing security risk profile. Security teams are tasked with protecting the studio's permanent offices and film lots, temporary filming locations, traveling executives and employees—plus the hundreds of temporary workers and A-list celebrities working on active film shoots. Download this case study to learn how one major Hollywood studio uses real-time alerts from Dataminr to help keep people safe.
Corporate Risk ebook:
Modern risk management is a highly collaborative exercise. Forward-thinking companies know that risk management cannot be confined to a single department or performed on an ad hoc basis inside operational silos—ownership of risk must be shared across the enterprise. Download this eBook to learn:
How to categorize and assign responsibility to the four major types of corporate risk
The role of real-time information as a catalyst for action in risk management
The importance of democratizing access to information during a crisis
want to know more?
If you would like to learn more about Dataminr, their technology, the markets they serve, or how you can engage with them, please click the link below to get in direct touch.