NVIDIA
It is a world leader in Artificial Intelligence and Analytics technologies. They are at the forefront of employing GPU technology for scientific problems. They have also developed NVIDIA AI to transform existing enterprises into AI-backed organizations.
Key Features
How NVIDIA Uses Data Science
- A leader in AI and analytics hardware, particularly Graphics Processing Units (GPUs).
- Develops accelerated analytics software that utilizes GPUs for faster processing.
- Provides APIs for data science and supplies hardware essential for running complex AI models.
Top 10 Data Science Companies in 2024
Data Science combines multiple fields, including statistics, machine learning, and data analytics, as well as computer science and mathematical concepts like linear algebra and calculus. Data is the foundation of growth in many industries, including health, finance, e-commerce, education, and, most crucially, technology and its derivatives (ed-tech, fintech, etc.).
Everything from managing databases to building the most complex of AI models comes under the umbrella of Data Science. Every company now has an AI branch, and every major tech company has dedicated part of itself to finding breakthroughs in AI.
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