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RAG: The Future of Reliable and Accurate Generative AI

Generative artificial intelligence (AI) has made significant strides, with models like GPT-4 demonstrating human-like language generation capabilities. Conventional generative models often need help delivering precise and current information. Retrieval augmented generation (RAG) addresses these limitations by incorporating real-time data retrieval into the generative process. Recent studies show that RAG models have achieved up to a 30 […]

Future-Proofing Your Data Strategy: A Deep Dive into Data Engineering Trends

Businesses today rely heavily on data and strive to harness its full potential while navigating a constantly changing landscape. The secret is to combine smart analytics with a strong data engineering strategy. As we continue into 2024, data engineering trends and insights will continue to be critical for businesses hoping to prosper in this cutthroat industry. Future-proofing […]

Bringing High-Value Sustainability to the Data Center

Data storage plays a critical role in the current environmental landscape, and power and cooling requirements and expenses are now a substantial consideration in data center design.  While data is invaluable for driving innovation and decision-making when analytics is applied, storage and management methods have substantial environmental consequences. With the exponential growth of data that […]

The Overlooked Powerhouse: Leveraging Machine Learning Over Generative AI

Generative AI (GenAI) is dominating headlines, celebrated as a groundbreaking technology with vast potential. Beyond the initial (and warranted) excitement, however, a more balanced perspective reveals the substantial – often overlooked – value of another AI technology: traditional machine learning (ML). While generative AI garners attention for its creative capabilities, machine learning remains an unsung hero, utilizing […]