13 More Companies Leading the Way in AI and Data Science
In the weeks since we announced our first group of partners for ODSC East 2023, we’ve added even more industry-leading organizations and startups helping to shape the future of AI and data science for enterprise. Check out a few of them below.
Comprising more than 200 products and cloud services, Microsoft Azure aims to meet organizations where they are (in the cloud, in-person, or a hybrid of the two) to help develop new business solutions. With an emphasis on continuous development, Microsoft Azure is ready to support its clients whatever the future might bring.
Growing out of the open-source community, Plotly has become the premier low-code data app platform. Their mission is to help enterprises quickly and efficiently build and scale data applications.
With origins in the open-source community, Anaconda is dedicated to improving data literacy and helping organizations establish the necessary security and governance infrastructure in place to effectively use open-source data science at scale.
DotData’s goal as a company is to help organizations improve machine learning models, pipelines, and insights through feature discovery. Through feature discovery, DotData can help businesses shorten development times and more efficiently leverage their enterprise data.
At TDEngine they specialize in the ingestion, processing, and monitoring of the large amounts of data generated by the Internet of Things (IoT), Industrial IoT, and connected cars. This cloud-native, open-source database is optimized to help organizations effectively manage their essential time-series data.
Since its start with the Red Hat® Enterprise Linux®, Red Hat has expanded its products to include agile integration, management and automation solutions, middleware, cloud-native application development, and hybrid cloud infrastructure. 25 years in, they remain committed to operating transparently, responsibly, and open source.
Started in 1977 as Software Development Laboratories, Oracle has grown in the past 40+ years and matured in its mission to “help people see data in new ways, discover insights, unlock endless possibilities.” It currently offers services in a wide range of industries, from life sciences to wholesale distribution.
Comet’s mission is to provide support for enterprise deep learning at scale. Providing DevOps, product, and technical support, Comet enables organizations to personalize their experience on Comet’s platform, training their models with their own tools.
Founded in 2000, JetBrains has spent the past 20+ years dedicated to creating the most effective and strongest developer tools available. Through automating part of the process JetBrain frees developers to focus on growing, developing and creating.
Valohai enables ML Pioneers to continue to work at the cutting edge of technology with its MLOps which enables its clients to reduce the amount of time required to build, test, and deploy deep learning models by a factor of 10.
University of Kansas Medical Center
The University of Kansas Medical Center utilizes data science and AI to further its mission to improve lives through innovation in research, healthcare, and education.
At GramX, the team aims to help organizations successfully deploy NLP models by enabling easy collaboration, model comparisons, and faster AI adoption without having to use any code for your MLOps.
Opaques goal is to enable organizations to use AI and collaborative analytics on sensitive or confidential data with its Confidential AI platform. Opaques platform protects data end-to-end by leveraging secure hardware enclaves and cryptographic fortification and layering them on top of cloud security.
Conclusion
These organizations, and all of our AI Expo partners, are transforming industries with their products and services. Get your free AI Expo pass to connect with their representatives one-on-one and see their products demoed live!
Originally posted on OpenDataScience.com
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