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  • Laying the Foundation for Data- and AI-led Growth

    This research content sheds light on how enterprise leaders are modernizing their data infrastructures to support generative AI initiatives and drive business growth. Access the full report now to learn how you can lay the foundation for data- and AI-led success.

  • State of Data+AI

    This report offers insights into the rapid adoption of machine learning, the rise of generative AI, and the role of data intelligence platforms in AI success. It discusses trends in model production, NLP growth, and enterprises customizing large language models. Discover how leading organizations excel with data and AI in the full report.

  • Building a High- Performance data and AI Organization

    This report explores how data and analytics leaders are delivering business results with cloud data and AI platforms. Key findings include the importance of sound data management, the challenges in scaling analytics and machine learning, and the role of open standards in future data architectures. Download the full report now to learn more.

  • A Compact Guide to Retrieval Augmented Generation (RAG)

    Discover how Retrieval Augmented Generation (RAG) can enhance large language models by providing relevant external information to improve accuracy and reduce hallucinations. Learn the key components and use cases of RAG with vector search. Read the full e-book to learn more.

  • The Big Book of Genai 5 Ways to Leverage Your data to build Production-Quality GenAl Applications

    This 118-page e-book is a thorough guide to deploying GenAI applications. It details the entire GenAI process, from using foundation models to custom model pretraining and fine-tuning. Access the full e-book now to learn how you can unlock the potential of GenAI for your organization.

  • A Compact Guide to Large Language Models

    Large language models (LLMs) are becoming increasingly important in a variety of applications such as natural language processing, machine translation, code and text generation, and more. Read on to understand the recent rise of LLMs and discover strategies you can leverage to become more data-driven with an LLM.

  • The Big Book of MLOps

    Generative models such as large language models (LLMs) and image generation models have revolutionized the machine learning (ML) landscape. However, their arrival also introduces new challenges. Read on to learn how you can leverage a unified, data-centric AI platform to achieve long-term efficiency and performance stability of ML in production.

  • The Big Book of Machine Learning Use Cases – 2nd Edition

    This E-book contains a collection of technical blogs, including code samples and notebooks, designed to equip you with practical machine learning use cases you can put to work right now. Read on to gain insights from industry thought leaders and learn how you can leverage machine learning to bring your business into the future.

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