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Challenges You Will Face When Parsing PDFs With Python – How To Parse PDFs With Python

Seattle Data Guy

Scraping data from PDFs is a right of passage if you work in data. Someone somewhere always needs help getting invoices parsed, contracts read through, or dozens of other use cases. Most of us will turn to Python and our trusty list of Python libraries and start plugging away. Of course, there are many challenges… Read more The post Challenges You Will Face When Parsing PDFs With Python – How To Parse PDFs With Python appeared first on Seattle Data Guy.

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How to Implement Named Entity Recognition with Hugging Face Transformers

KDnuggets

Let's take a look at how we can perform NER using that Swiss army knife of NLP and LLM libraries, Hugging Face's Transformers.

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DuckDB … reading from s3 … with AWS Credentials and more.

Confessions of a Data Guy

In my never-ending quest to plumb the most boring depths of every single data tool on the market, I found myself annoyed when recently using DuckDB for a benchmark that was reading parquet files from s3. What was not clear, or easy, was trying to figure out how DuckDB would LIKE to read default AWS […] The post DuckDB … reading from s3 … with AWS Credentials and more. appeared first on Confessions of a Data Guy.

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Robinhood Crypto Expands Offering with Solana (SOL), Pepe (PEPE), Cardano (ADA) & XRP (XRP) for U.S. Customers

Robinhood

Robinhood Crypto’s commitment to expanding access and maintaining a safe, easy-to-use platform deepens with the addition of 4 digital assets Today, Robinhood Crypto announced the addition of Solana (SOL), Pepe (PEPE), Cardano (ADA) & XRP (XRP) to its U.S. platform, bringing the total number of cryptocurrencies available for trading to 19. You can see a full list of crypto assets currently available in the U.S. here.

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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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Celebrating Innovation: Announcing the Finalists of the Databricks Generative AI Startup Challenge

databricks

We are thrilled to unveil the finalists for the Databricks Generative AI Startup Challenge , a competition designed to spotlight innovative early-stage startups.

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From IC to Data Leader: Key Strategies for Managing and Growing Data Teams

Seattle Data Guy

There are plenty of statistics about the speed at which we are creating data in today’s modern world. On the flip side of all that data creation is a need to manage all of that data and thats where data teams come in. But leading these data teams is challenging and yet many new data… Read more The post From IC to Data Leader: Key Strategies for Managing and Growing Data Teams appeared first on Seattle Data Guy.

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Expert Insights for Your 2025 Data, Analytics, and AI Initiatives

Precisely

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. A long-term approach to your data strategy is key to success as business environments and technologies continue to evolve. The rapid pace of technological change has made data-driven initiatives more crucial than ever within modern business strategies.

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AnythingLLM: The LLM Application You’ve Been Waiting For

KDnuggets

Turn any document into a conversation-ready AI tool with AnythingLLM — a versatile, open-source platform for building a secure, private assistant.

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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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What is Unstructured Data? A Guide to Storage, Processing, and Analysis

Seattle Data Guy

Much of the data we have used for analysis in traditional enterprises has been structured data. It’s easy for humans to break down, understand, and, in turn, find insights from it. However, much of the data that is being created and will be created comes in some form of unstructured format. However, the digital era… Read more The post What is Unstructured Data?

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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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Sequence learning: A paradigm shift for personalized ads recommendations

Engineering at Meta

AI plays a fundamental role in creating valuable connections between people and advertisers within Meta’s family of apps. Meta’s ad recommendation engine, powered by deep learning recommendation models (DLRMs) , has been instrumental in delivering personalized ads to people. Key to this success was incorporating thousands of human-engineered signals or features in the DLRM-based recommendation system.

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Empower Your Cyber Defenders with Real-Time Analytics Author: Carolyn Duby, Field CTO

Cloudera

Today, cyber defenders face an unprecedented set of challenges as they work to secure and protect their organizations. In fact, according to the Identity Theft Resource Center (ITRC) Annual Data Breach Report , there were 2,365 cyber attacks in 2023 with more than 300 million victims, and a 72% increase in data breaches since 2021. The constant barrage of increasingly sophisticated cyberattacks has left many professionals feeling overwhelmed and burned out.

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7 Ways to Improve Your Data Cleaning Skills with Python

KDnuggets

Improve your Python data cleaning by fixing invalid entries, converting types, encoding variables, handling outliers, selecting features, scaling, and filling missing values.

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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.

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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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Snowflake Will Automatically Disable Passwords Detected on the Dark Web

Snowflake

Security has been an integral part of Snowflake’s platform since the company was founded. Through the security capabilities of Snowflake Horizon Catalog , we empower security admins and CISO’s to better protect their environments. As part of our continued efforts to help customers secure their accounts, and in line with our pledge to align with CISA’s Secure By Design principles, we are announcing the general availability of Snowflake Leaked Password Protection (LPP).

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Expert Insights for Your 2025 Data, Analytics, and AI Initiatives

Precisely

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. A long-term approach to your data strategy is key to success as business environments and technologies continue to evolve. The rapid pace of technological change has made data-driven initiatives more crucial than ever within modern business strategies.

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Enable Image Analysis with Cloudera’s New Accelerator for Machine Learning Projects Based on Anthropic Claude

Cloudera

Enterprise organizations collect massive volumes of unstructured data, such as images, handwritten text, documents, and more. They also still capture much of this data through manual processes. The way to leverage this for business insight is to digitize that data. One of the biggest challenges with digitizing the output of these manual processes is transforming this unstructured data into something that can actually deliver actionable insights.

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10 Python Libraries Every Data Analyst Should Know

KDnuggets

Interested in data analytics? Here's a list of Python libraries you cannot do without.

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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.

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Securing the Future: How AI Gateways Protect AI Agent Systems in the Era of Generative AI

databricks

Generative AI has become a powerful reality, transforming industries by enhancing customer experiences and automating decisions. As organizations integrate AI agent systems into.

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November 2024 Top 10 (by Monte Carlo)

Data Council

For this month's top ten, Lindsay MacDonald from Monte Carlo asks a critical question: Is data ready for GenAI? While AI seems ready to take off, are our data foundations really prepared? Let’s find out.

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CDC and Data Streaming: Capture Database Changes in Real Time with Debezium PostgreSQL Connector

Confluent

CDC has evolved to become a key component of data streaming platforms, and is easily enabled by managed connectors such as the Debezium PostgreSQL CDC connector.

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Secrets of Spark to Snowflake Migration Success: Customer Stories

Snowflake

Today’s business landscape is increasingly competitive — and the right data platform can be the difference between teams that feel empowered or impaired. I love talking with leaders across industries and organizations to hear about what’s top of mind for them as they evaluate various data platforms. In these conversations, there are a number of questions that I hear time and time again: Will my data platform be scalable and reliable enough?

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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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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Scaling MATLAB and Simulink models with Databricks and Mathworks

databricks

Whether you’re coming from healthcare, aerospace, manufacturing, government or any other industries the term big data is no foreign concept; however how that.

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Understanding Master Data Management (MDM) and Its Role in Data Integrity

Precisely

Key Takeaways : MDM delivers a unified holistic view of your data across domains, so you can make faster, more accurate decisions. Challenges around data literacy, readiness, and risk exposure need to be addressed – otherwise they can hinder MDM’s success Businesses that excel with MDM and data integrity can trust their data to inform high-velocity decisions, and remain compliant with emerging regulations.

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Mirroring SQL Server Database to Microsoft Fabric

Striim

SQL2Fabric Mirroring is a new fully managed service offered by Striim to mirror on premise SQL Databases. It’s a collaborative service between Striim and Microsoft based on Fabric Open Mirroring that enables real-time data replication from on-premise SQL Server databases to Azure Fabric OneLake. This fully managed service leverages Striim Cloud’s integration with the Microsoft Fabric stack for seamless data mirroring to Fabric Data Warehouse and Lake House.

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Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.

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9 Best Practices for Transitioning From On-Premises to Cloud

Snowflake

On a day-to-day basis, Snowflake teams identify opportunities and help customers implement recommended best practices that ease the migration process from on-premises to the cloud. They also monitor potential challenges and advise on proven patterns to help ensure a successful data migration. This article highlights nine key areas to watch out for and plan around in order to accelerate a smooth transition to the cloud.

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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.

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Introducing Predictive Optimization for Statistics

databricks

We are excited to introduce the gated Public Preview of Predictive Optimization for statistics. Announced at the Data + AI Summit, Predictive Optimization.

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Data Quality with Snowflake Data Metric Functions (DMF)

Cloudyard

Read Time: 4 Minute, 21 Second Snowflake’s Data Metric Functions (DMF) are powerful tools designed to ensure data quality and governance. By enabling automated checks and validations, DMFs allow organizations to monitor their data continuously and enforce business rules. With built-in and custom metrics, DMFs simplify the process of validating large datasets and identifying anomalies.

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What Is Entity Resolution? How It Works & Why It Matters

Entity Resolution Sometimes referred to as data matching or fuzzy matching, entity resolution, is critical for data quality, analytics, graph visualization and AI. Learn what entity resolution is, why it matters, how it works and its benefits. Advanced entity resolution using AI is crucial because it efficiently and easily solves many of today’s data quality and analytics problems.