The Guide to Databricks Optimization
By: Intel Software View more from Intel Software >>
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The Big Book of Machine Learning Use Cases – 2nd Edition
By: DataBricks
Type: eBook
The world of machine learning is evolving so quickly that it’s challenging to find real-life use cases that are relevant to your day-to-day work.
That’s why Databricks created this comprehensive guide. Get everything you need — use cases, code samples and notebooks — so you can start putting the Databricks Lakehouse Platform to work today.
Plus, you’ll get case studies from leading companies like Comcast, Regeneron and Nationwide.
Learn how to:
- Improve on-shelf availability with out of stock modeling
- Make real-time decisions using quantitative modeling
- Use dynamic time warping and MLflow to detect sales trends series
- Detect financial fraud at scale with decision trees and MLflow on Databricks
By registering, I agree to the processing of my personal data by Databricks in accordance with their Privacy Policy. I can update my preferences at any time.
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Supercharge Your Databricks Lakehouse
By: Qlik
Type: eBook
The Databricks Lakehouse platform is a go-to for organizations eager to leverage their data fully. But to reap its full value, one must navigate data integration hurdles. This e-book details how to supercharge your Databricks Lakehouse by:
- Facilitating universal, real-time data ingestion from any source into Databricks
- Streamlining data transformation into analytics-ready forms without manual coding
- And creating a secure, governed data catalog for easy access to reliable data
Read this e-book now to find out how you can automate your entire data pipeline to reduce risk, boost ROI, and free your data engineers.
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Deliver 1:1 personalization at scale: Data and AI strategies for M&E companies
By: DataBricks
Type: eBook
Deliver audience experiences that drive impact
Generative AI could revolutionize your content creation, personalization and customer support. But can your data ecosystem keep up? Find out what it will take to sustain your innovation in this eBook.
You’ll learn how M&E companies have used AI to:
- Increase revenue by 8%–10%
- Boost sales by 15%–25%
- Achieve a 30%–40% better return on ad spend
- Run personalization models with up to 97% accuracy
By registering, I agree to the processing of my personal data by Databricks in accordance with their Privacy Policy. I can update my preferences at any time.
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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.
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How generative AI will reshape the enterprise
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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.
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In this week's Computer Weekly, we talk to tech leaders in Barcelona and London about a collaboration to ensure ethical use of AI in the era of smart cities. The UK government wants to reform data protection law – we assess the implications. And we examine the latest best practice in hybrid cloud. Read the issue now.
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