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Generative AI for Connected Cars: Solution-Oriented Chatbots for Personalized User Support


Generative AI is becoming a major player in automotive innovation. The market is already valued at USD 480.22 million in 2024, and it’s expected to grow to USD 3,900.03 million by 2034, with a stea...



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LLM Comparison: Find the Best Fit for Legacy System Rewrites


Legacy systems often struggle with performance, are vulnerable to security issues, and are expensive to maintain. Despite these challenges, over 65% of enterprises still rely on them for critical ope...



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From Data to Decisions: The Role of Data Platforms in Automotive


Connected, autonomous, and electric cars are changing the automotive industry. Yet, the massive amount of data they generate often remains siloed across different systems, making management and colla...



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Spring AI Framework Overview – Introduction to AI World for Java Developers


In this article, we explain the fundamentals of integrating various AI models and employing different AI-related techniques within the Spring framework. We provide an overview of the capabilities of...



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Ragas and Langfuse Integration – Quick Guide and Overview


With large language models (LLMs) being used in a variety of applications today, it has become essential to monitor and evaluate their responses to ensure accuracy and quality. Effective evaluation h...



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Modernizing Legacy Applications with Generative AI: Lessons from R&D Projects


As digital transformation accelerates, modernizing legacy applications has become essential for businesses to stay competitive. The application modernization market size, valued at USD 21.32 billion...



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How to Make Your Enterprise Data Ready for AI


As AI continues to transform industries, one thing becomes increasingly clear: the success of AI-driven initiatives depends not just on algorithms but on the quality and readiness of the data that fu...



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Challenges of the Legacy Migration Process and Best Practices to Mitigate Them


Legacy software is the backbone of many organizations, but as technology advances, these systems can become more of a burden than a benefit. Migrating from a legacy system to a modern solution is a d...



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GrapeChat – the LLM RAG for Enterprise


LLM is an extremely hot topic nowadays. In our company, we drive several projects for our customers using this technology. There are more and more tools, researches, and resources, including no-code,...



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Choosing the Right Approach: How Generative AI Powers Legacy System Modernization


In today's rapidly evolving digital landscape, the need to modernize legacy systems and applications is becoming increasingly critical for organizations aiming to stay competitive. Once the backbone...



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How to Design the LLM Hub Platform for Enterprises


In today's fast-paced digital landscape, businesses constantly seek ways to boost efficiency and cut costs. With the rising demand for seamless customer interactions and smoother internal processes,...



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Integrating Generative AI with Knowledge Graphs for Enhanced Data Analytics


The integration of generative AI into data analytics is transforming business data management and interpretation, opening vast possibilities across industries. Recent statistics from a Gartner sur...



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From Silos to Synergy: How LLM Hubs Facilitate Chatbot Integration


In today's tech-driven business environment, large language models (LLM)-powered chatbots are revolutionizing operations across a myriad of sectors, including recruitment, procurement, and marketing....



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Addressing Data Governance Challenges in Enterprises Through the Use of LLM Hubs


In an era where more than 80% of enterprises are expected to use Generative AI by 2026, up from less than 5% in 2023, the integration of AI chatbots is becoming increasingly common​. This adoption...



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Exploring Texas Instruments Edge AI: Hardware Acceleration for Efficient Computation


In recent years, the field of artificial intelligence (AI) has witnessed a transformative shift towards edge computing, enabling intelligent decision-making to occur directly on devices rather than r...



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