-
-
-
-
URL copied!
This paper addresses specific building blocks for approaching a data platform journey for architecting. By understanding the essential elements of architectural design considerations, organizations can aid their decision-making process when evaluating value realization outcomes associated with modern data platform goals.
Read more to learn how to apply these proven methodologies to improve at-scale benchmarking, cost modeling, and operational efficiency. Building and operating a data platform has never been more accessible with the right tools, modern technology, and efficient workflows.
Let’s Work Together
Related Content
Accelerating Digital Transformation with Structured AI Outputs
Enterprises increasingly rely on large language models (LLMs) to derive insights, automate processes, and improve decision-making. However, there are two significant challenges to the use of LLMs: transforming structured and semi-structured data into suitable formats for LLM prompts and converting LLM outputs back into forms that integrate with enterprise systems. OpenAI's recent introduction of structured … Continue reading Cloud Data Platform Architecture Primer →
Learn More
Connected Vehicle Cybersecurity Considerations That Vehicle Manufacturers Need to Know
According to Deloitte, there will be 470 million connected vehicles on highways worldwide by 2025. These connected vehicles provide opportunities and have a higher cybersecurity risk than any other connected devices; even the FBI had to make a statement about it. A typical new model car runs over 100 million lines of code and has … Continue reading Cloud Data Platform Architecture Primer →
Learn More
Accelerating Enterprise Value with AI
As many organizations are continuing to navigate the chasm between AI/GenAI pilots and enterprise deployment, Hitachi is already making significant strides. In this article, GlobaLogic discusses the importance of grounding any AI/GenAI initiative in three core principles: 1) thoughtful consideration of enterprise objectives and desired outcomes; 2) the selection and/or development of AI systems that are purpose-built for an organization’s industry, its existing technology, and its data; and 3) an intrinsic commitment to responsible AI. The article will explain how Hitachi is addressing those principles with the Hitachi GenAI Platform-of-Platforms. GlobalLogic has architected this enterprise-grade solution to enable responsible, reliable, and reusable AI that unlocks a high level of operational and technical agility. It's a modular solution that GlobalLogic can use to rapidly build solutions for enterprises across industries as they use AI/GenAI to pursue new revenue streams, greater operational efficiency, and higher workforce productivity.
Learn More
Share this page:
-
-
-
-
URL copied!