Dataconomy
JULY 2, 2025
Streaming data architecture is transforming how organizations manage and analyze their data in real-time. With the increasing need for timely insights, businesses are adopting this architecture to process continuous streams of information efficiently. This paradigm shift allows companies to enhance decision-making capabilities and improve operational agility.
Towards AI
JULY 2, 2025
Last Updated on July 4, 2025 by Editorial Team Author(s): Sai Bhargav Rallapalli Originally published on Towards AI. Retrieval-Augmented Generation (RAG) has completely transformed how we build Large Language Model (LLM) applications. It gives LLMs the superpower to fetch external knowledge and generate context-rich answers. But here’s the problem →Traditional RAG is like a GPS that always trusts the first route it shows → even if there’s a traffic jam.
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Analytics Vidhya
JULY 2, 2025
Python powers most data analytics workflows thanks to its readability, versatility, and rich ecosystem of libraries like Pandas, NumPy, Matplotlib, SciPy, and scikit-learn. Employers frequently assess candidates on their proficiency with Python’s core constructs, data manipulation, visualization, and algorithmic problem-solving. This article compiles 60 carefully crafted Python coding interview questions and answers categorized by Beginner, […] The post 60 Python Interview Questions
Dataconomy
JULY 2, 2025
Spatial data plays a crucial role in our understanding of the world, enriching various applications from urban planning to environmental monitoring. As technology advances, the way we collect, analyze, and utilize this information continues to transform, unlocking new insights into patterns and relationships that are often invisible at first glance.
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.
JULY 2, 2025
Generative AI has revolutionized customer interactions across industries by offering personalized, intuitive experiences powered by unprecedented access to information. This transformation is further enhanced by Retrieval Augmented Generation (RAG), a technique that allows large language models (LLMs) to reference external knowledge sources beyond their training data.
Dataconomy
JULY 2, 2025
Star schema is a powerful framework in the realm of data warehousing, designed to optimize data organization for analytical purposes. By structuring data into a central fact table surrounded by multiple dimension tables, star schema enhances query performance and simplifies data retrieval. This design is particularly beneficial for businesses seeking efficient ways to analyze vast amounts of data and uncover insights.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Dataconomy
JULY 2, 2025
AI integration is expanding into the Linux command line, exemplified by tools like Ollama, making its presence in this environment increasingly common. The Gemini CLI tool enables users to access Google’s Gemini AI directly within their Linux terminal. This locally installed application supports various functions, including content generation, problem-solving, detailed research, and task management.
Towards AI
JULY 2, 2025
Last Updated on July 4, 2025 by Editorial Team Author(s): Kuriko Iwai Originally published on Towards AI. Explore strategies and practical implementation on tuning an ML model to achieve the optimal performancePhoto by Scott Webb on Unsplash Hyperparameter tuning is a critical step in both traditional machine learning and deep learning that significantly impacts model performance.
JULY 2, 2025
My professional career has spanned six major tech changes: minicomputer, PC, internet, social, mobile, and cloud. Each of these revolutions brought a wave of new providers and destroyed swaths of legacy companies.
ODSC - Open Data Science
JULY 2, 2025
This summer, the frontier of artificial intelligence meets the power of community through a dynamic collaboration between ODSC and Google Cloud. From exclusive webinars and hands-on hackathons to live meetups and technical deep dives, this series of events is designed to empower developers, data scientists, and AI enthusiasts to build the next generation of intelligent applications.
Speaker: Kenten Danas, Senior Manager, Developer Relations
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!
JULY 2, 2025
To better understand human cognition, scientists trained a large language model on 10 million psychology experiment questions. It now answers questions much like we do. Companies like OpenAI and Meta are in a race to make something they like to call artificial general intelligence.
Dataconomy
JULY 2, 2025
Hugging Face has discontinued its HuggingChat service as announced by Chief Technology Officer Julien Chaumond on LinkedIn. This closure, occurring 27 months after its April 2023 launch, aims to facilitate the development of a new, more integrated offering within the Hugging Face ecosystem. HuggingChat was introduced as an open-source alternative to chatbots like OpenAI’s ChatGPT, demonstrating the capabilities of open-source models.
KDnuggets
JULY 2, 2025
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 5 Fun Python Projects for Absolute Beginners Bored of theory? These hands-on Python projects make learning interactive, practical, and actually enjoyable.
Towards AI
JULY 2, 2025
Last Updated on July 4, 2025 by Editorial Team Author(s): Parsa Kohzadi Originally published on Towards AI. 🔗Available for non-Medium members here. 🌐 Photo by National Cancer Institute on Unsplash In the 1990s, a doctor who said, “I don’t use computers” raised eyebrows.In 2025, a doctor who says, “I don’t use AI,” raises serious red flags.
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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.
JULY 2, 2025
Sudden cardiac death from ventricular arrhythmias is a leading cause of mortality worldwide. Arrhythmic death prognostication is challenging in patients with hypertrophic cardiomyopathy (HCM), a setting where current clinical guidelines show low performance and inconsistent accuracy. Here, we present a deep learning approach, MAARS (Multimodal Artificial intelligence for ventricular Arrhythmia Risk Stratification), to forecast lethal arrhythmia events in patients with HCM by analyzing multimodal
The Data Administration Newsletter
JULY 2, 2025
We live in an age where the words we use for artificial intelligence are shaping the future faster than the technologies themselves. We talk about “hallucinations,” “assistants,” “intelligence” — as though these systems were merely quirky co-workers or precocious children. But these terms aren’t harmless shorthand.
JULY 2, 2025
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 Beginner’s Guide to Building AI Agents to Sell 2:39 pm July 3, 2025 By Julian Horsey What if you could turn your curiosity about Artificial Intelligence into a thriving business opportunity?
databricks
JULY 2, 2025
Introduction Large Language Models (LLMs) have swiftly become essential components of modern workflows, automating tasks traditionally performed by humans.
Speaker: Tamara Fingerlin, Developer Advocate
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.
JULY 2, 2025
Retrieval-augmented generation (RAG) has shaken up the world of language models by combining the best of two worlds: 
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Dataconomy
JULY 2, 2025
Over 300 managers and executives participated in a HBR study , revealing that those who consulted ChatGPT made less accurate stock predictions and exhibited greater optimism and overconfidence compared to those who engaged in peer discussions. The experiment design The experiment commenced with participants being shown a recent stock price chart for Nvidia (NVDA).
JULY 2, 2025
Sudden cardiac death from ventricular arrhythmias is a leading cause of mortality worldwide. Arrhythmic death prognostication is challenging in patients with hypertrophic cardiomyopathy (HCM), a setting where current clinical guidelines show low performance and inconsistent accuracy. Here, we present a deep learning approach, MAARS (Multimodal Artificial intelligence for ventricular Arrhythmia Risk Stratification), to forecast lethal arrhythmia events in patients with HCM by analyzing multimodal
The Data Administration Newsletter
JULY 2, 2025
Taking immediate action on sensor data is vital in modern Internet of Things (IoT) systems. Real-time streaming serves as the fundamental structure of IoT analytics because it enables automated responses, predictive insights, and operational efficiency. Analyzing and responding to real-time data has become mandatory for healthcare, aerospace, and manufacturing systems.
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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
JULY 2, 2025
In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of artificial intelligence …
insideBIGDATA
JULY 2, 2025
By Kamal Hathi, SVP and GM, Splunk Products & Technology Today’s fast-evolving digital landscape, especially with the explosive growth of AI, has rapidly added to the complexity of data management. This growing dependence on AI has not only added to complexity, but also transformed strategic data management from a competitive advantage into a business imperative.
JULY 2, 2025
Tarun Eldho Alias is a technology leader with over a decade of experience in software development and is the founder and CTO of Neem Inc.
The Data Administration Newsletter
JULY 2, 2025
The HealthTech industry is a by-product of the digital transformation currently underway in the health and wellness sector. Thanks to electronic health records (EHRs), genomics, wearables, and telemedicine, this growth is not even close to slowing down.
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.
JULY 2, 2025
Large language models (LLMs) like ChatGPT can generate and revise text with human-level performance.
Dataconomy
JULY 2, 2025
A system of record (SOR) represents a critical component in the digital landscape of modern organizations. By offering a centralized hub for storing and managing essential data, SORs play a pivotal role in ensuring data integrity and enhancing organizational efficiency. As businesses increasingly rely on data-driven decisions, understanding the function and significance of SORs becomes crucial for effective records management.
The Data Administration Newsletter
JULY 2, 2025
It’s July. That means budget season for most enterprises with a calendar fiscal year. And for data leaders, it’s time to shape how discretionary investments in 2026 can amplify strategic outcomes. It’s always challenging to decide on the “best bets,” and this makes me think about what advice I should give my clients.
JULY 2, 2025
Shopify's Head of Engineering, Farhan Thawar, shares how the company is using internal LLMs, unlimited AI tokens, and custom tooling to figure out how to use AI tools more efficiently - faster
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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