RESEARCH CONTENT: In this new report from MIT Tech Review Insights, 600 CIOs and senior tech executives from the world’s most innovative companies share their journeys to data intelligence. Read on now to learn the strategies — as well as the struggles — of top leaders at Walmart, Morgan Stanley, AT&T and more.

Posted: 05 Dec 2024 | Published: 05 Dec 2024

WEBCAST: In this webcast, Don Vu, CDO of Northwestern Mutual, joins Dael Williamson, Databricks Field CTO, and Grace Browne, Wired writer, to discuss generative AI and its impact at the enterprise level. Tune in now to learn how you can identify the right AI use cases to drive business value and minimize risks.

Posted: 03 Dec 2024 | Premiered: Dec 4, 2024

EBOOK: Eliminate the unnecessary costs and difficulties associated with accessing the data you need for innovation. With the Databricks Data Intelligence Platform for Healthcare and Life Sciences, you can move past the limitations of legacy systems to put data and AI in the hands of all your teams. Read on now to learn more.

Posted: 28 Nov 2024 | Published: 28 Nov 2024

RESEARCH CONTENT: Companies have been quick to adopt GenAI, but they’re still struggling to productionize and scale. That’s one of the findings in this Economist Impact study from a global survey of 1,100 technical executives, data engineers, data scientists and architects. Access the full report now to unlock more insights.

Posted: 27 Nov 2024 | Published: 27 Nov 2024

RESEARCH CONTENT: The State of Data + AI report is your playbook. Read on now to discover how more than 10,000 companies — now including over 300 of the Fortune 500 — have made massive progress in the span of one year and how your organization can follow suit.

Posted: 26 Nov 2024 | Published: 26 Nov 2024

WEBCAST: During this webcast, you’ll find out how a unified data management platform can help you eliminate silos and standardize your data to unlock AI’s potential. Tune in now to learn how you can navigate the challenges of becoming a data-driven organization.

Posted: 22 Nov 2024 | Premiered: Nov 23, 2024

RESEARCH CONTENT: 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.

Posted: 18 Nov 2024 | Published: 20 Nov 2024

RESEARCH CONTENT: This report provides a snapshot of how organizations are prioritizing data and AI initiatives, including insights on accelerating AI adoption, the rise of natural language processing, and the growing use of open-source language models and retrieval-augmented generation. Read the full report now to discover the latest trends in enterprise AI.

Posted: 18 Nov 2024 | Published: 19 Nov 2024

RESEARCH CONTENT: 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.

Posted: 15 Nov 2024 | Published: 16 Nov 2024

EBOOK: 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.

Posted: 08 Nov 2024 | Published: 09 Nov 2024

RESEARCH CONTENT: By analyzing insights gathered from 600 technology professionals, this research report aims to identify why and how organizations are investing in a data and AI-driven future. Read on to uncover key insights and discover why organizations are chasing the upside of AI despite its potential challenges.

Posted: 29 May 2024 | Published: 29 May 2024

EBOOK: Generative AI is revolutionizing enterprises, democratizing access to AI and driving adoption across business functions. This e-book from MIT Technology Review explores how IT leaders are leveraging large language models to unlock business value. Read on to discover key considerations to get started and more.

Posted: 17 May 2024 | Published: 17 May 2024

RESEARCH CONTENT: Organizations are increasingly deploying cloud-based analytics and machine learning to drive business results. But scaling these capabilities requires overcoming data management complexity. Access this research content to explore how high-performing companies are succeeding with modern data architectures.

Posted: 14 May 2024 | Published: 14 May 2024

EBOOK: In this e-book, you’ll discover how the Databricks Lakehouse for Media & Entertainment can help you drive more intelligent consumer and advertiser outcomes with data, analytics, and AI. Read on to find out how your organization can harness the full potential of your data.

Posted: 10 May 2024 | Published: 10 May 2024

EBOOK: 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.

Posted: 07 May 2024 | Published: 07 May 2024

EBOOK: 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.

Posted: 14 Feb 2024 | Published: 14 Feb 2024

EBOOK: If you were to break down machine learning operations (MLOps) into a formula, this e-book by Databricks explains, it would the following: MLOps = DataOps + DevOps + ModelOps. Now that you know what MLOps is, why should you care about it? Find out in the 78-page ultimate guide.

Posted: 13 Feb 2024 | Published: 13 Feb 2024

EBOOK: 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.

Posted: 13 Feb 2024 | Published: 13 Feb 2024