GlobalLogic Launches Innovative Architecture for Enterprise-Grade AI

Artificial Intelligence (AI) has become an integral part of various industries, offering immense potential for growth and transformation. In line with this, GlobalLogic, a subsidiary of Hitachi Group, has recently introduced a groundbreaking architecture to drive the deployment of enterprise-grade AI solutions.

The Platform-of-Platforms architecture developed by GlobalLogic aims to address the complex challenges faced by enterprises in operationalizing AI and generative AI (GenAI) at scale. By partnering with leading hyperscalers, GlobalLogic has created a unique architecture that unifies and industrializes enterprise-grade AI and GenAI solutions.

Responsibility, reliability, and reusability are the key principles that GlobalLogic emphasizes in developing enterprise-grade AI. With their extensive experience in assisting enterprises in adopting AI technologies, GlobalLogic understands the importance of ensuring these principles in AI platforms, particularly in high-stakes situations.

The AI Platform-of-Platforms architecture offered by GlobalLogic tackles critical needs related to observability, security, governance, and consumption. It enables seamless integration of models, algorithms, and solutions, whether deployed in the cloud or on-premises. Additionally, it provides accelerators for rapid deployment of various use cases, including customer support, software development, legacy migration, and enterprise knowledge management.

“The GenAI landscape is highly dynamic,” says Sumit Sood, COO and Head of Engineering at GlobalLogic. “In an environment where the ‘best’ technology can change frequently, GlobalLogic’s Platform-of-Platforms approach enables our clients to choose the most suitable AI solutions to support their business outcomes.”

Frequently Asked Questions (FAQs)

  1. What is enterprise-grade AI?
  2. Enterprise-grade AI refers to the application of artificial intelligence technology specifically tailored for use in enterprise environments. It involves developing AI solutions that are reliable, scalable, and capable of meeting the unique needs and challenges of businesses.

  3. What is generative AI (GenAI)?
  4. Generative AI, or GenAI, refers to AI technologies that are capable of generating new content, ideas, or solutions based on existing data or patterns. It involves using algorithms and models to create original and creative outputs.

  5. What are the key benefits of the Platform-of-Platforms architecture?
  6. The Platform-of-Platforms architecture offered by GlobalLogic provides several benefits, including seamless integration of AI solutions, observability to monitor and analyze AI deployments, enhanced security measures, efficient governance and consumption of AI resources, and accelerators for rapid deployment of various use cases.

  7. How does GlobalLogic ensure responsibility, reliability, and reusability in AI platforms?
  8. GlobalLogic places high importance on responsibility, reliability, and reusability in AI platforms. This is accomplished through rigorous testing, adherence to industry standards and regulations, continuous monitoring, and a focus on creating scalable and robust solutions that can be easily modified and reutilized.

Sources:
ETTelecom

Artificial Intelligence (AI) is a technology that has gained significant traction across various industries due to its potential for growth and transformation. GlobalLogic, a subsidiary of Hitachi Group, has recently introduced a groundbreaking architecture called the Platform-of-Platforms to drive the deployment of enterprise-grade AI solutions.

The Platform-of-Platforms architecture developed by GlobalLogic aims to address the complex challenges faced by enterprises when operationalizing AI and generative AI (GenAI) at scale. By partnering with leading hyperscalers, GlobalLogic has created a unique architecture that unifies and industrializes enterprise-grade AI and GenAI solutions.

Responsibility, reliability, and reusability are the key principles emphasized by GlobalLogic in developing enterprise-grade AI. The company understands the importance of ensuring these principles in AI platforms, particularly in high-stakes situations, through its extensive experience in assisting enterprises in adopting AI technologies.

The AI Platform-of-Platforms architecture offered by GlobalLogic tackles critical needs related to observability, security, governance, and consumption. It enables seamless integration of models, algorithms, and solutions, whether deployed in the cloud or on-premises. Additionally, it provides accelerators for rapid deployment of various use cases, including customer support, software development, legacy migration, and enterprise knowledge management.

According to Sumit Sood, COO and Head of Engineering at GlobalLogic, the GenAI landscape is highly dynamic. In an environment where the “best” technology can change frequently, GlobalLogic’s Platform-of-Platforms approach enables their clients to choose the most suitable AI solutions to support their business outcomes.

As the demand for enterprise-grade AI continues to grow, it is important to understand key concepts related to the industry:

1. Enterprise-grade AI: Refers to the application of artificial intelligence technology specifically tailored for use in enterprise environments. It involves developing AI solutions that are reliable, scalable, and capable of meeting the unique needs and challenges of businesses.

2. Generative AI (GenAI): Refers to AI technologies that are capable of generating new content, ideas, or solutions based on existing data or patterns. It involves using algorithms and models to create original and creative outputs.

The Platform-of-Platforms architecture offered by GlobalLogic provides several benefits. These include seamless integration of AI solutions, observability to monitor and analyze AI deployments, enhanced security measures, efficient governance and consumption of AI resources, and accelerators for rapid deployment of various use cases.

GlobalLogic ensures responsibility, reliability, and reusability in AI platforms through rigorous testing, adherence to industry standards and regulations, continuous monitoring, and a focus on creating scalable and robust solutions that can be easily modified and reutilized.

For more information, you may refer to the source: ETTelecom.

The source of the article is from the blog portaldoriograndense.com

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