Thu.Nov 14, 2024

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5 Cheat Sheets for Getting Started in Data Science

KDnuggets

Check out these 5 KDnuggets cheat sheets designed for the data science beginner, covering from introductory coding through to data cleaning, exploration, manipulation, and modeling.

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The state of enterprise AI: How early adopters are driving success

databricks

When the Generative AI boom first ignited, every enterprise rushed to deploy the technology. For many, that excitement remains. But companies are also.

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A New Python Package Manager

KDnuggets

Manage Python projects, run scripts and tools, handle dependencies, and install packages—all with the uv tool.

Python 112
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Building a Modern Clinical Trial Data Intelligence Platform

databricks

In an era where data is the lifeblood of medical advancement, the clinical trial industry finds itself at a critical crossroads. The current.

Medical 82
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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Paper Announcement: Leveraging Multimodal LLMs for Large-Scale Product Retrieval Evaluation

Zalando Engineering

We are excited to share our latest research paper Retrieve, Annotate, Evaluate, Repeat — Leveraging Multimodal LLMs for Large-Scale Product Retrieval Evaluation. We introduce a novel approach to large-scale product retrieval evaluation using Multimodal Large Language Models (MLLMs). Evaluated on 20,000 examples, our method shows how MLLMs can help automate the relevance assessment of retrieved products, achieving levels of accuracy comparable to human annotators and enabling scalable evaluation

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Introducing Structured Outputs for Batch and Agent Workflows

databricks

Many AI use cases now depend on transforming unstructured inputs into structured data. Developers are increasingly relying on LLMs to extract structured data.

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Providence Health: Scaling ML/AI Projects with Databricks Mosaic AI

databricks

Providence Health's extensive network spans 50+ hospitals and numerous other facilities across multiple states, presenting many challenges in predicting patient volume and daily.

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IMPACT 2024 Keynote Recap: Product Vision, Announcements, And More

Monte Carlo

After a couple of years recapping the excitement of the Snowflake and Databricks conference keynotes, it was beyond time to give the same treatment to the fourth annual IMPACT conference. So let’s take a closer look at the keynote delivered by Monte Carlo co-founder and chief technology officer, Lior Gavish, as he took the virtual stage to share the “vision and mission driving Monte Carlo into 2025.

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2025 Trends in SAP® Processes and Automation: New strategic insights

Precisely

Key Takeaways: Automation adoption is gaining momentum as a core component of digital transformation strategies – but integration and multi-dimensional complexity remain top challenges. Most companies are now using SAP ® S/4HANA, which significantly affects how they use their SAP ® ERP system and the software client user interfaces they choose to deploy.

Process 52
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Unified Checkout: Streamlining Uber’s Payment Ecosystem

Uber Engineering

From payment chaos to calm: Discover how Uber’s game-changing Unified Checkout System powers payment methods across every product line, worldwide.

Systems 58
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Introduction to Databricks Lakehouse Monitoring

Hevo

Databricks Lakehouse is an open data management architecture which combines the scalability, cost-effectiveness, and flexibility of data lakes with the data management and ACID transactions of data warehouses. Databricks Lakehouse is the best of both worlds of data lakes and data warehouses. It enables machine learning and business intelligence on all data with more reliability.