Trending Articles

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The Basics of SFTP: Authentication, Encryption, and File Management

Seattle Data Guy

If you’re looking to pass hundreds of GBs of data quickly, you’re likely not going to use a REST API. That’s why every day, companies share data sets of users, patient claims, financial transactions, and more via SFTP. If youve been in the industry for a while, youve probably come across automated SFTP jobs that… Read more The post The Basics of SFTP: Authentication, Encryption, and File Management appeared first on Seattle Data Guy.

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Artificial Intelligence for Noobs

KDnuggets

A beginners guide to AI and how to get started.

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How to Install and Run LLMs Locally on Android Phones

KDnuggets

Learn how to bring the power of AI right to your Android phone—no cloud, no internet, just pure on-device intelligence!

Cloud 134
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Alternatives to Azure Document Intelligence Studio: Exploring Powerful Document Analysis Tools

Seattle Data Guy

Document Intelligence Studio is a data extraction tool that can pull unstructured data from diverse documents, including invoices, contracts, bank statements, pay stubs, and health insurance cards. The cloud-based tool from Microsoft Azure comes with several prebuilt models designed to extract data from popular document types. However, you can also use labeled datasets to train… Read more The post Alternatives to Azure Document Intelligence Studio: Exploring Powerful Document Analysis Tool

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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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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 127
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What’s New for Spatial Analytics across ArcGIS (Q4 2024)

ArcGIS

Spatial Analytics and Data Science capabilities across ArcGIS have been enhanced this fall with new tools and optimized experiences.

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From Novice to Pro: A Roadmap for Your Machine Learning Career - KDnuggets

KDnuggets

Let’s take a look at a concise roadmap to building a lasting and effective machine learning career.

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Introducing Databricks Generative AI Partner Accelerators and RAG Proof of Concepts

databricks

In todays rapidly evolving technology landscape, generative artificial intelligence (GenAI) is revolutionizing the way organizations work and is opening up new worlds of.

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Data News — Small break until January

Christophe Blefari

Hey, it's been a few weeks since something has been published here—I hope you haven’t forgotten about me 😊 In the last weeks I've been all over the place and worked on a lot of topics except this newsletter, I've decided to take a break from the newsletter to catchup the rhythm in January! The Forward Data Conference was a huge success and I want to thanks again all the attendees, speakers, sponsors and my co-organisers.

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Attribute Rules Triggering Fields in ArcGIS Pro 3.4

ArcGIS

Attribute rules triggering fields, specify which fields trigger the rule on update

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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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15 Useful Python One-Liners for String Manipulation

KDnuggets

In this article, we'll explore 15 Python one-liners that make string manipulation not just efficient but also fun.

Python 108
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AWS S3 Tables. Technical Introduction.

Confessions of a Data Guy

Well, everyone is abuzz with the recently announced S3 Tables that came out of AWS reinvent this year. I’m going to call fools gold on this one right out of the gate. I tried them out, in real life that is, not just some marketing buzz, and it will leave most people, not all, be […] The post AWS S3 Tables. Technical Introduction. appeared first on Confessions of a Data Guy.

AWS 130
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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 111
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Value-Focused Data Leaders to Watch in 2025

Snowflake

As organizations mature in their execution of data and AI initiatives, a burning question remains: How do we measure the effectiveness of our teams and our impact on the business? This isnt the perennial Whats my data worth? dilemma often asked rhetorically and answered theoretically. Todays challenge is concrete: to define and track the metrics used to justify continued investment in data and AI innovation.

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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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Build Better Custom Geoprocessing tools (now with Enable Undo) in ArcGIS Pro!

ArcGIS

Learn how to build a custom geoprocessing tool and about some new features, like Enable Undo for Script and Model tools, in ArcGIS Pro 3.

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Beginner’s Guide to Unit Testing Python Code with PyTest

KDnuggets

Learn how to write and run effective unit tests in Python using PyTest, ensuring your code is reliable and bug-free.

Python 108
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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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Unlock the Predictive Power of Your Time Series Data

databricks

At Databricks, AutoML is our low-code/no-code model training API that empowers customers to create quality machine learning (ML) models with their data on.

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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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The Struggle Between Data Dark Ages and LLM Accuracy

Cloudera

Artificial Intelligence promises to transform lives and business as we know it. But what does that future look like? The AI Forecast: Data and AI in the Cloud Era , sponsored by Cloudera, aims to take an objective look at the impact of AI on business, industry, and the world at large. Hosted weekly by Paul Muller, The AI Forecast speaks to experts in the space to understand the ins and outs of AI in the enterprise, the kinds of data architectures and infrastructures that support it, the guardrai

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Use advanced calculation options in ArcGIS Business Analyst Pro’s suitability analysis workflow

ArcGIS

Learn about updates to Business Analyst Pros suitability analysis workflow in the November 2024 release.

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Multimodal RAG Implementation with Hugging Face

KDnuggets

Learn how to enhance RAG models by combining text and visual inputs using Hugging Face Transformers.

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Inside Facebook’s video delivery system

Engineering at Meta

Were explaining the end-to-end systems the Facebook app leverages to deliver relevant content to people. Learn about our video-unification efforts that have simplified our product experience and infrastructure, in-depth details around mobile delivery, and new features we are working on in our video-content delivery stack. The end-to-end delivery of highly relevant, personalized, timely, and responsive content comes with complex challenges.

Systems 74
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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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Česká spořitelna: How GenAI is Transforming Call Centers in the Financial Services Industry

databricks

Czech savings bank esk spoitelna , a division of Austrias Erste Group , recently collaborated with AI solution builder DataSentics to explore the.

Banking 105
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Mainframe Data Meets AI: Reducing Bias and Enhancing Predictive Power

Precisely

Key Takeaways : The significance of using legacy systems like mainframes in modern AI. How mainframe data helps reduce bias in AI models. The challenges and solutions involved in integrating legacy data with modern AI systems. The potential benefits of these integrations. In todays rapidly evolving technological landscape, businesses across industries are constantly looking for ways to harness the power of artificial intelligence (AI) to drive better decision-making, enhance customer experiences

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Introducing Configurable Metaflow

Netflix Tech

David J. Berg * , David Casler ^, Romain Cledat * , Qian Huang * , Rui Lin * , Nissan Pow * , Nurcan Sonmez * , Shashank Srikanth * , Chaoying Wang * , Regina Wang * , Darin Yu * *: Model Development Team, Machine Learning Platform ^: Content Demand ModelingTeam A month ago at QConSF, we showcased how Netflix utilizes Metaflow to power a diverse set of ML and AI use cases , managing thousands of unique Metaflow flows.

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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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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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Equiniti: From Zero to AI

databricks

Equiniti wanted to centralize data and insights to its operations. To this end, it utilized the Databricks Data Intelligence Platform and Mosaic AI tools to enhance customer experience and drive innovation.

Utilities 105
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Indexing code at scale with Glean

Engineering at Meta

Were sharing details about Glean , Metas open source system for collecting, deriving and working with facts about source code. In this blog post well talk about why a system like Glean is important, explain the rationale for Gleans design, and run through some of the ways were using Glean to supercharge our developer tooling at Meta. In August 2021 we open-sourced our code indexing system Glean.

Coding 55
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Discover the New Assess Sensitivity to Attribute Uncertainty Tool in ArcGIS Pro 3.4!

ArcGIS

Learn how to analyze uncertainty in your data using spatial statistics tools. Explore patterns of housing burden and make informed decisions with ArcGIS Pro 3.4.

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How to Get Addicted to Machine Learning

KDnuggets

A simple guide for getting hooked to machine learning and building a successful career in the field.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.