What is Articul8, Intel’s independent AI company

Articul8 is a new company that was launched by Intel and DigitalBridge Group on January 3, 2024. It is an independent enterprise generative AI software platform that offers solutions for various industries and domains. Articul8 aims to help large enterprises operationalize and scale AI by providing them with secure, cost-effective, and scalable GenAI services. Articul8: What is it and how does it work?

GenAI stands for generative artificial intelligence, which is a branch of AI that can create new content or data from existing data. For example, GenAI can generate text, images, audio, video, code, and more. GenAI has many potential applications in fields such as finance, aerospace, life sciences, cybersecurity, and more.

Articul8 was created with intellectual property (IP) and technology developed at Intel. It will leverage Intel’s hardware architectures such as Intel Xeon Scalable processors and Intel Gaudi accelerators to deliver high-performance GenAI engines. Articul8 will also support a range of hybrid infrastructure alternatives such as cloud or on-premises deployment.

Articul8 has already partnered with several customers who are using its GenAI platform to solve their complex problems. Some of these customers are Uptycs, a cloud security solution provider; Shiley Center for Orthopaedic Research & Education (SCORE), a medical research institute; and Invest India, an investment promotion agency.

Articul8 is led by Arun Subramaniyan, who was formerly vice president and general manager in Intel’s Data Center and AI Group. He has over 20 years of experience in leading AI initiatives at Intel. Articul8 will remain strategically aligned with Intel on go-to-market opportunities and collaborate on driving GenAI adoption in the enterprise.

If you want to learn more about Articul8 and its products, you can visit their website or read some of the news articles about them. You can also watch this video where Arun Subramaniyan talks about Articul8’s vision and value proposition. Articul8: What is it and how does it work?

Artificial intelligence (AI) is transforming the world in unprecedented ways. From self-driving cars to smart assistants, AI is enabling new possibilities and solutions for various industries and domains. However, AI is not a one-size-fits-all technology. Different AI applications require different types of AI models, data, and infrastructure. Moreover, AI is not easy to implement, scale, and manage. It requires specialized skills, resources, and tools that are often scarce, expensive, and complex.

This is where Articul8 comes in. Articul8 is a new company that was launched by Intel and DigitalBridge Group on January 3, 2024. It is an independent enterprise generative AI software platform that offers solutions for various industries and domains. Articul8 aims to help large enterprises operationalize and scale AI by providing them with secure, cost-effective, and scalable GenAI services.

GenAI stands for generative artificial intelligence, which is a branch of AI that can create new content or data from existing data. For example, GenAI can generate text, images, audio, video, code, and more. GenAI has many potential applications in fields such as finance, aerospace, life sciences, cybersecurity, and more.

GenAI is powered by deep learning, which is a subset of machine learning that uses neural networks to learn from data and perform tasks. Neural networks are composed of layers of artificial neurons that process information and pass it to the next layer. The output layer produces the desired result, such as a text, an image, or a sound.

One of the most popular types of neural networks for GenAI is the generative adversarial network (GAN), which consists of two competing networks: a generator and a discriminator. The generator tries to create realistic content or data, while the discriminator tries to distinguish between real and fake content or data. The generator and the discriminator learn from each other and improve over time, resulting in high-quality and diverse content or data.

Another type of neural network for GenAI is the variational autoencoder (VAE), which consists of two parts: an encoder and a decoder. The encoder compresses the input data into a latent representation, which is a lower-dimensional representation that captures the essential features of the data. The decoder reconstructs the input data from the latent representation, adding some variation or noise. The encoder and the decoder learn to optimize the trade-off between the accuracy and the diversity of the reconstructed data.

Articul8 is a cloud-based platform that provides access to a suite of GenAI engines, each designed for a specific use case or domain. Articul8’s GenAI engines are pre-trained on large and diverse datasets, and can be customized and fine-tuned for specific customer needs. Articul8’s GenAI engines can generate content or data.

Articul8’s GenAI engines are accessible via APIs, SDKs, and GUIs, and can be integrated with various platforms and tools, such as Microsoft Azure, Amazon Web Services, Google Cloud Platform, TensorFlow, PyTorch, and more. Articul8 also provides a dashboard that allows users to monitor, manage, and optimize their GenAI projects and workflows.

Articul8 leverages Intel’s hardware architectures such as Intel Xeon Scalable processors and Intel Gaudi accelerators to deliver high-performance GenAI engines. Articul8 also supports a range of hybrid infrastructure alternatives such as cloud or on-premises deployment.

Innovation: Articul8 enables enterprises to create new and novel content or data that can enhance their products, services, and processes. Articul8 can help enterprises discover new insights, generate new ideas, and solve new problems with GenAI. Articul8: What is it and how does it work?

Efficiency: Articul8 reduces the time, cost, and complexity of developing and deploying GenAI solutions. Articul8 eliminates the need for extensive data collection, labeling, and cleaning, as well as the need for building and training GenAI models from scratch. Articul8 also simplifies the integration and maintenance of GenAI solutions with existing systems and workflows.

Security: Articul8 ensures the privacy and security of the content or data generated by GenAI. Articul8 uses encryption, authentication, and authorization to protect the data in transit and at rest. Articul8 also uses watermarking, hashing, and digital signatures to verify the authenticity and integrity of the data.

Shiley Center for Orthopaedic Research & Education (SCORE): SCORE is a medical research institute that uses Articul8’s GenAI engine to generate synthetic medical images and data that can augment their existing datasets and improve their research outcomes.

Invest India: Invest India is an investment promotion agency that uses Articul8’s GenAI engine to generate natural language summaries and reports of the investment opportunities and policies in India for potential investors.

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