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Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Automating GitHub Workflows with Claude 4 Learn how to set up the Claude App in your GitHub repository and invoke it directly through comments.
Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter AI Agents in Analytics Workflows: Too Early or Already Behind? A look at how AI agents are reshaping the data analytics workflow and whether you’re ahead or behind the curve.
Lately, it feels like there’s a new ChatGPT version popping up every other day. There’s GPT-4o, the all-rounder, o3, the deep thinker, some speedy “mini” models that no one knows what they do, GPT-4.5 for creative writing, and a few legacy versions you probably would want to avoid. So if you’ve ever wondered which ChatGPT […] The post All ChatGPT Models Explained: Which to Use and When?
Speaker: Jason Chester, Director, Product Management
In today’s manufacturing landscape, staying competitive means moving beyond reactive quality checks and toward real-time, data-driven process control. But what does true manufacturing process optimization look like—and why is it more urgent now than ever? Join Jason Chester in this new, thought-provoking session on how modern manufacturers are rethinking quality operations from the ground up.
Frankfurt a. M., June 13, 2025 — Federal Express said it has introduced an AI-powered sorting robot at its air network location in Cologne, Germany, the first of its kind in the European FedEx network.
Amazon Web Services is leveraging artificial intelligence to improve its security capabilities, according to Chief Security Officer Stephen Schmidt. By employing large language models, AWS is converting real-time attack data into actionable security intelligence, particularly for application security reviews and incident response. Speaking at the AWS Summit on Tuesday, Schmidt explained that AI facilitates advanced security measures previously unattainable.
Amazon Web Services is leveraging artificial intelligence to improve its security capabilities, according to Chief Security Officer Stephen Schmidt. By employing large language models, AWS is converting real-time attack data into actionable security intelligence, particularly for application security reviews and incident response. Speaking at the AWS Summit on Tuesday, Schmidt explained that AI facilitates advanced security measures previously unattainable.
As OpenAI, Anthropic, and Big Tech invest billions in developing state-of-the-art large-language models, a small group of AI researchers is working on the next big thing.
ETL and ELT are some of the most common data engineering use cases, but can come with challenges like scaling, connectivity to other systems, and dynamically adapting to changing data sources. Airflow is specifically designed for moving and transforming data in ETL/ELT pipelines, and new features in Airflow 3.0 like assets, backfills, and event-driven scheduling make orchestrating ETL/ELT pipelines easier than ever!
Image recognition is transforming how we interact with technology, enabling machines to interpret and identify what they see, similar to human vision. This remarkable capability has applications ranging from security and healthcare to social media and augmented reality. Understanding how this technology works can provide valuable insights into its potential and implications.
As OpenAI, Anthropic, and Big Tech invest billions in developing state-of-the-art large-language models, a small group of AI researchers is working on the next big thing.
Data virtualization is transforming the way organizations access and manage their data. By allowing seamless integration of information from various sources without physical data movement, businesses can gain better insights and streamline their operations. This innovative approach to data management makes it easier for companies to leverage their data assets effectively.
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
Security researchers have found a way to work around the protection mechanisms baked into some Large Language Models (LLM) and get them to respond to …
The importance of a data governance policy cannot be overstated in today’s data-driven landscape. As organizations generate more data, the need for clear guidelines on managing that data becomes essential. A well-defined policy ensures that data is treated as a valuable asset, promoting effective decision-making and compliance with regulations. This article delves into the core aspects of a data governance policy, its significance, and how to develop one tailored to your organization.
Data gravity is a fascinating concept that illustrates the way large datasets exert an influence on the location and functionality of applications. This gravitational pull can shape how organizations manage their data, particularly as they navigate challenges and opportunities in the modern digital landscape. As data volumes grow, understanding this phenomenon becomes essential for optimizing data management strategies.
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
Inductive argument is a fascinating aspect of reasoning that plays a crucial role in how we draw conclusions from the world around us. This method emphasizes moving from specific observations to broader generalizations, allowing us to make informed predictions and decisions based on less-than-absolute premises. As we delve into the intricacies of inductive reasoning, we’ll explore its characteristics, applications, and various types, highlighting its significance in everyday situations and
contact Kartik Agaram Freewheeling Apps Using computers more freely and safely Transcript for this video (18 minutes). Click on images for full-size versions. How can we use computers more freely and safely? the punchline Prefer software: with thousands rather than millions of users that seldom requires updates that spawns lots of forks that is easy to modify that you can modify These are my suggestions.
Hashing plays a pivotal role in the realm of data security and management, acting as a cornerstone for safeguarding sensitive information. Its applications transcend mere data organization, impacting how we store passwords, verify data integrity, and authenticate digital signatures across various platforms. Understanding hashing not only provides insight into cryptography but also helps grasp the fundamental principles of modern cybersecurity.
In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate
Skip to main content Skip to secondary menu Skip to primary sidebar Skip to footer Geeky Gadgets The Latest Technology News Home Top News AI Apple Android Technology Guides Gadgets Hardware Gaming Autos Deals About How to Work Smarter, Not Harder, with Artificial Intelligence 1:22 pm June 13, 2025 By Julian Horsey What if the future of work isn’t about competing with machines, but mastering the skills to work alongside them?
Research Strange radio pulses detected coming from ice in Antarctica The unusual radio pulses were detected by the Antarctic Impulsive Transient Antenna (ANITA) experiment, a range of instruments flown on balloons high above Antarctica that are designed to detect radio waves from cosmic rays hitting the atmosphere. Credit: Stephanie Wissel / Penn State.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
Depending on who you ask, the robotics revolution is happening quite rapidly. It’s not just a question of trying to design a more stable humanoid robot and making those gradual moves toward mimicry of human dexterity.
A post on Decision Science about a problem of Uri Wilensky's has been making the rounds: Imagine a room full of 100 people with 100 dollars each. With every tick of the clock, every person with money gives a dollar to one randomly chosen other person.
Alan Trefler, CEO of Pegasystems, is scathing about big tech companies that are pushing the use of AI agents and large language models for business-critical applications.
About Documentation Get OxCaml OxCaml OxCaml is a fast-moving set of extensions to the OCaml programming language. It is both Jane Street’s production compiler, as well as a laboratory for experiments focused towards making OCaml better for performance-oriented programming. Our hope is that these extensions can over time be contributed to upstream OCaml.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
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