Mon.Dec 09, 2024

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Streamline AI Agent Evaluation with New Synthetic Data Capabilities

databricks

Our customers continue to shift from monolithic prompts with general-purpose models to specialized agent systems to achieve the quality needed to drive ROI.

Systems 102
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Visualizing Data Directly from Numpy Arrays

KDnuggets

Data 78
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How to Read Unity Catalog Tables in Snowflake, in 4 Easy Steps

databricks

Learn how to connect to Unity Catalog's Iceberg REST APIs from Snowflake to read a single source data file as Iceberg.

Data 81
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Drug Launch Case Study: Amazing Efficiency Using DataOps

DataKitchen

A Drug Launch Case Study in the Amazing Efficiency of a Data Team Using DataOps How a Small Team Powered the Multi-Billion Dollar Acquisition of a Pharma Startup When launching a groundbreaking pharmaceutical product, the stakes and the rewards couldnt be higher. This blog dives into the remarkable journey of a data team that achieved unparalleled efficiency using DataOps principles and software that transformed their analytics and data teams into a hyper-efficient powerhouse.

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Apache Airflow® Best Practices for ETL and ELT Pipelines

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

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No Code, No Problem: How to Use Open Interpreter

KDnuggets

Coding 73
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Databricks at NeurIPS 2024

databricks

68

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Scaling AI Solutions with Cloudera: A Deep Dive into AI Inference and Solution Patterns

Cloudera

As organizations increasingly integrate AI into day-to-day operations, scaling AI solutions effectively becomes essential yet challenging. Many enterprises encounter bottlenecks related to data quality, model deployment, and infrastructure requirements that hinder scaling efforts. Cloudera tackles these challenges with the AI Inference service and tailored Solution Patterns developed by Clouderas Professional Services, empowering organizations to operationalize AI at scale across industries.

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Why Data Quality for AI Matters

Monte Carlo

Data quality for AI is essential. Why? AI without quality data is like a master chef without fresh ingredients. Hand either of them compromised raw materials and, no matter their expertise or sophisticated techniques, the end result will fall flat. You can have the smartest AI models in the world, but without clean, accurate data, youre setting your AI up to be less Einstein and more Mr.

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Introducing Accelerator for Machine Learning (ML) Projects: Summarization with Gemini from Vertex AI

Cloudera

Were thrilled to announce the release of a new Cloudera Accelerator for Machine Learning (ML) Projects (AMP): Summarization with Gemini from Vertex AI . An AMP is a pre-built, high-quality minimal viable product (MVP) for Artificial Intelligence (AI) use cases that can be deployed in a single-click from Cloudera AI (CAI). AMPs are all about helping you quickly build performant AI applications.

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Faster Analytics: Snowflake Improves Query Duration by 40%

Snowflake

56
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Apache Airflow®: The Ultimate Guide to DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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Monitor Snowflake Costs and resources with Streamlit

Cloudyard

Read Time: 3 Minute, 13 Second Efficient resource management is essential for organizations leveraging Snowflake’s powerful data platform. With this Streamlit app , you can monitor Snowflake costs and resources in real time, providing actionable insights to optimize performance and reduce unnecessary expenses. Imagine managing a large-scale Snowflake environment with multiple users, warehouses, and roles.

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Confluent’s Customer Zero: Supercharge Lead Scoring with Apache Flink® and Google Cloud Vertex AI, Part 1

Confluent

Follow along with an end-to-end real-time prediction project leveraging the combined capabilities of Confluent Cloud stacks and Google Cloud Vertex AI.

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Gen AI in Action: Customers Use Cortex AI to Garner New Insights

Snowflake

51
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Secure, scalable access to AI insights with enhanced identity and access management

ThoughtSpot

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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2025 Planning Insights: Data Governance Adoption Has Risen Dramatically

Precisely

Key Takeaways: Interest in data governance is on the rise 71% of organizations report that their organization has a data governance program, compared to 60% in 2023. Top reported benefits of data governance programs include improved quality of data analytics and insights (58%), improved data quality (58%), and increased collaboration (57%). Data governance is a top data integrity challenge, cited by 54% of organizations second only to data quality (56%).

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Typed Python in 2024: Well adopted, yet usability challenges persist

Engineering at Meta

This summer, JetBrains, Meta, and Microsoft collaborated to conduct a comprehensive survey on the state of Python typing*. The survey aimed to understand how developers in the open source community are using type hints, the challenges they face, and the tools they rely on. Over 1,000 people took the survey and we are delighted to share the findings.

Python 67