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  • Writer's pictureDhruv Parmar

Top 10 AI Companies


Leading the charge in AI-powered security, Oracle just recently announced their new Advanced HCM to help HR professionals secure sensitive data. Every company must face issues of compliance and fraud when it comes to the storage of sensitive data.

Don’t Miss:

  • ODSC East keynote speakers Oracle’s Dr. Hari Bhaskar and Jean-Rene Gauthier’s Is Your ML Secure? Cybersecurity and Threats in the ML world, as it will tackle the intersection of machine learning and cybersecurity. How safe is your machine learning world, and are you ready to take on emerging threats?

  • AI Expo Speaker Adam Pocock: Building Provenance and Reproducibility into ML Systems.

Microsoft Azure

Microsoft is a leader with multiple cloud computing and AI solutions, such as PowerBI, Azure, and Microsoft AI. They’re among the top companies on Earth investing in AI infrastructure to keep pace with the growing scale of AI in our everyday lives.

Don’t Miss:

  • ODSC keynote speaker Luis Vargas will dive deep into the trend of larger AI models and what it means for complexity, tasks, impact, and more. He will also discuss Microsoft’s impacts on engineering and what it means for other companies.

  • AI Expo Speaker Doris Zhong.

Z by HP

Bringing scale, speed, and flexibility into machine learning and AI projects. Z by HP is an open-source and hybrid approach to could-native analytics. Companies such as Mercedes-Benz are utilizing the power of Z to push forward their highly automated and fully autonomous vehicles.

Red Hat

Working with companies such as NVIDIA, Red Hat’s automation solutions focus on their customers spending less time on old problems, and more time on getting new projects off the ground. Their AI-focused approach allows you to scale to meet your needs.


One of the most experienced AI leaders, SAS delivers AI solutions to enhance human ingenuity. Narrowing the communications gap between humans and machines is one of SAS’s lead projects in their work with NLP. To deliver on their commitment to enhancing human ingenuity, SAS’s ML toolkit focuses on automation and more to provide smarter decision-making.

Don’t Miss:

  • AI Expo Speaker: Nancy Rauish’s “Building Trust: Data Governance for Artificial Intelligence”


Neo4j is where the best and brightest go for scalable graphs that are capable of visualizing predictions through both machine and deep learning. Offering an open-source NoSQL graph database, they have also worked with organizations such as eBay, NASA, Lyft, Airbnb, and more.


Iterative’s efforts to provide solutions to house unstructured datasets such as images, text, and videos put the needs of the AI development team in mind. Their open-sourced solutions not only allow for tracking and insights but methods of deployment while providing much-needed flexibility.


For Cloudera, it’s all about machine learning optimization. Their CDP machine learning allows for teams to collaborate across the full data life cycle with scalable computing resources, tools, and more.


Businesses are more and more utilizing the power of AI. Iguazio’s MLOps platform allows for AI projects to provide real-world business outcomes, such as scaling and accelerating the management, development, and deployment of AI applications.

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