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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.
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.
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.
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.
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!
New York, July 2, 2025 – AI-based workflow automation company fileAI today announced the launch of its public platform designed to help enterprises and SMBs understand and collect business data trapped in unstructured formats, siloed systems, disconnected databases and externally.
Introduction Large Language Models (LLMs) have swiftly become essential components of modern workflows, automating tasks traditionally performed by humans.
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
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.
So, you have decided to leverage the power of AI for your trading. That’s a champion move, considering there are AI tools for stock trading that can analyze monumental market data in seconds. They can give you the exact insight you need for your trading strategy. In fact, many can now even frame a custom […] The post Top 10 AI Tools for Stock Trading appeared first on Analytics Vidhya.
Service planners are moving to establish a new enlisted military occupational specialty focused on artificial intelligence and machine learning, designated 49B, according to internal service documents.
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.
Websites displaying legally mandated U.S. national climate assessments seem to have disappeared. The reports tell state and local governments and everyday people what to expect in a warming world and how to prepare for it.
In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of artificial intelligence …
As a first-party Azure service, Azure Databricks has established itself as the leading Data + AI platform on Azure, enabling organizations to build scalable, enterprise-grade
It's astonishingly easy to prod OpenAI's large language models (LLMs) into doing the most abominable things you can imagine. In an editorial for the Wall Street Journal , the researchers from the AI firm AE Studio explained that all it took was some tricky prompting and a $10 charge to access OpenAI's developer platform — and once they were inside the machine, all hell broke loose.
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.
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).
Publish AI, ML & data-science insights to a global community of data professionals. Sign in Sign out Submit an Article Latest Editor’s Picks Deep Dives Newsletter Write For TDS Toggle Mobile Navigation LinkedIn X Toggle Search Search Large Language Models Software Engineering in the LLM Era On growing new software engineers, even when it’s inefficient Stephanie Kirmer Jul 2, 2025 13 min read Share Photo by Francesco Gallarotti on Unsplash In the broad software engineering space, debates abou
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
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.
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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.
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.
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.
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
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.
Spain and Brazil have launched a joint initiative to promote higher tax contributions from the super-rich worldwide, aimed at tackling soaring inequality by ensuring those with the most pay their fair share.
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
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.
Grammarly announced its intent to acquire the email application Superhuman, as detailed in a recent press release. This strategic move aims to integrate Grammarly’s AI-powered writing assistance directly into a dedicated email platform, leveraging email’s existing prominence as a primary function for its professional users. “Grammarly is evolving into a productivity platform for apps and agents, moving toward a multi-product company with hundreds of intelligent, task-specific agents,
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.
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
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