Cloud Data Platform Architecture Primer

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 →

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GenAI in Action: Lessons from Industry Leaders on Driving Real ROI

Generative AI (GenAI) has the potential to transform industries, yet many companies are still struggling to move from experimentation to real business impact. The hype is everywhere, but the real challenge is figuring out where AI can drive measurable value—and how to overcome the barriers to adoption. In the latest episode of Hitachi ActionTalks: GenAI, … Continue reading Cloud Data Platform Architecture Primer →

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GlobalLogic Cafe: Digital Leadership — Creating a (Software) Product Driven Organization 

A (software) product driven organization delivers value through software and challenges the current structure and legacy approaches to IT and product development.

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Secure Engineering – Threat Modeling

Learn what threat modeling is, how it works, and how you can use it to secure your company’s platforms and applications.

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Azure Data Factory Data Integration in the Cloud

Learn how to use Microsoft Azure in an Azure Data Factory (ADF) to solve challenges in big data analysis.

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If You Build Products, You Should Be Using Digital Twins

Digital twin technology is one of the fastest growing concepts of Industry 4.0. In the simplest terms, a digital twin is a virtual replica of a real-world object that is run in a simulation environment to test its performance and efficacy

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Accelerate Your Automotive Software Innovation

GlobalLogic's SDV Cloud Framework and Eclipse Automotive Integration

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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.

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