Thu.Jun 19, 2025

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10 Must-Know Python Libraries for MLOps in 2025

Machine Learning Mastery

MLOps, or machine learning operations, is all about managing the end-to-end process of building, training, deploying, and maintaining machine learning models.

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Go vs. Python for Modern Data Workflows: Need Help Deciding?

KDnuggets

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 Go vs. Python for Modern Data Workflows: Need Help Deciding? Need both performance and flexibility in your data workflows?

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Report Released on Enterprise AI Trust: 42% Don’t Trust Outputs

insideBIGDATA

". the report finds that while 58% of organizations have implemented or optimized data observability programs – systems that monitor detect, and resolve data quality and pipeline issues in real-time – 42% still say they do not trust the outputs.

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Forget Streamlit: Create an Interactive Data Science Dashboard in Excel in Minutes

KDnuggets

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 Forget Streamlit: Create an Interactive Data Science Dashboard in Excel in Minutes In this tutorial, we will show how to create an interactive data science dashboard in Excel in minutes without Streamlit.

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Airflow Best Practices for ETL/ELT Pipelines

Speaker: Kenten Danas, Senior Manager, Developer Relations

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A Gentle Introduction to Multi-Head Attention and Grouped-Query Attention

Machine Learning Mastery

This post is divided into three parts; they are: • Why Attention is Needed • The Attention Operation • Multi-Head Attention (MHA) • Grouped-Query Attention (GQA) and Multi-Query Attention (MQA) Traditional neural networks struggle with long-range dependencies in sequences.

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7 Key Highlights from Geoffrey Hinton on Superintelligent AI

Analytics Vidhya

If the Godfather of AI, tells you to “train to be a plumber” you know that you got to pay attention, atleast thats what got me hooked. In a recent conversation, Geoffrey Hinton discussed the various possibilities in the upcoming era of superintelligent AI and if you are wondering how did this conversation go about, […] The post 7 Key Highlights from Geoffrey Hinton on Superintelligent AI appeared first on Analytics Vidhya.

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AutoHRise: Resume Screening Using Crew AI, Watsonx AI and Discovery

IBM Data Science in Practice

Understanding the power of Agentic AI in automating resume screening using Crew AI, Watsonx AI, and semantic search with Watsonx Discovery. This is the second blog in our blog series on building agentic HR workflows using Crew AI and Watsonx. In this blog, we focus on designing and implementing an intelligent resume screening agent capable of parsing, analyzing, and ranking candidate profiles using semantic understanding powered by Watson Discovery and foundation models.

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Andrej Karpathy on the Rise of Software 3.0

Analytics Vidhya

Let’s talk about the future of software, and trust me, it’s happening right now! I recently caught Andrej Karpathy’s keynote at AI Startup School in San Francisco, and wow, I had to share what I learned. Karpathy, who has previously worked at Tesla, OpenAI, and Stanford, gave us an insider look at Software 3.0, the next big evolution in programming.

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Tech giants unleash AI on weather forecasts: are they any good?

Flipboard

A wave of machine-learning weather models have been unleashed by some of the very biggest businesses on the planet. These challenge the orthodoxy of traditional physics-based computer forecasts that have been incrementally developed and improved over many decades.

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How to Build Your Own Newsletter AI Agent

Analytics Vidhya

With the evolution of AI and its integration with social media, there is no doubt that it helps in creating valuable content. Since it has led to reducing human interaction, the aftermath of this integration has resulted in reduced attention span. So the question is, how can you get undivided attention from your reader while […] The post How to Build Your Own Newsletter AI Agent appeared first on Analytics Vidhya.

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Whats New in Apache Airflow 3.0 –– And How Will It Reshape Your Data Workflows?

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.

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Community Spotlight: Paola Ruiz, Néstor González, Daniel Crovo

DrivenData Labs

The Community Spotlight celebrates the diversity of expertise, perspectives, and experiences of our community members. In this post we sit down with Paola Ruiz, Néstor González, and Daniel Crovo, members of the IGCPHARMA team that earned prizes in both Phase 1 and Phase 2 of the PREPARE Challenge. Names: Paola Ruiz Puentes, Néstor González, Daniel Andrés Crovo Pérez ¶ Hometown: Bogotá, Colombia ¶ To get started, tell us a little about yourself!

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Top 7 Free AI Image Generators: Which Tool Wins?

Analytics Vidhya

With AI everywhere, you would be a fool not to use it for image generation. Be it creating content for your online blog, social channels, or just an invite for your birthday party (do invite us), AI is sure to make image generation super simple and fast. What’s more, some of the best AI image […] The post Top 7 Free AI Image Generators: Which Tool Wins?

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Community Spotlight: Kirill Brodt

DrivenData Labs

The Community Spotlight celebrates the diversity of expertise, perspectives, and experiences of our community members. In this post we sit down with Kirill Brodt, winner of challenges like Youth Mental Health Narratives: Automated Abstraction and BioMassters and a doctoral student in computer graphics at the University of Montreal. Name: Kirill Brodt ¶ Hometown: Almaty, Kazakhstan ¶ To get started, tell us a little about yourself!

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The Hidden Dangers of Using Generative AI in Your Business

Flipboard

Rushing to adopt generative AI can derail your business. Here's what leaders need to know.

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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

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.

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AutoHRise: An AI-Powered Hiring Assistant with Agentic AI, Crew AI, and Watsonx AI

IBM Data Science in Practice

Understanding the power of the Agentic AI using Crew AI with the Watsonx AI and Discovery. AutoHRise an AI-powered recruitment agentic assistant, automates the hiring process, reducing time-to-hire and improving candidate experience. The AI agent acts as an intelligent assistant, interacting with recruiters, candidates, and HR systems to streamline hiring.

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Data processing

Dataconomy

Data processing is at the heart of transforming raw numbers into actionable insights that drive decisions across various sectors. In our data-driven world, understanding how vast amounts of information flow through systems enables organizations to harness the right data effectively. What is data processing? Data processing is a systematic approach to converting raw data into meaningful information.

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It's Not Just You: Apple Intelligence is Down on iOS 26 and Other Betas [Fixed]

Flipboard

Apple Intelligence has not been working for many hours today across the first developer betas of iOS 26, iPadOS 26, and macOS Tahoe. The issue has been flagged by users across the Apple Developer Forums, Reddit, and other online discussion platforms throughout the day.

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Data architect

Dataconomy

Data architects play a pivotal role in today’s data-driven businesses, shaping the data landscape and ensuring that organizations can effectively manage and utilize their data resources. As the demand for data professionals continues to grow, understanding the unique functions and responsibilities of data architects becomes crucial for both aspiring individuals and organizations looking to enhance their data capabilities.

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A Guide to Debugging Apache Airflow® DAGs

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

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Scaling Laws for Unsupervised Finetuning of LLMs

Machine Learning Research at Apple

A widespread strategy for obtaining a language model that performs well in a target domain is to fine-tune it by training it to do unsupervised next-token prediction on data from that domain. Fine-tuning presents two challenges: i) if the amount of target data is limited, as is the case in most practical applications, the model will quickly overfit, and ii) the model will drift away from the original model and forget the pre-training distribution.

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Data mesh

Dataconomy

Data Mesh is revolutionizing how organizations handle their data, shifting from traditional centralized systems to a more decentralized approach. This innovative framework allows teams to treat data as a product, enhancing accessibility and governance while promoting collaboration across departments. What is data mesh? Data mesh is a decentralized data management architecture that focuses on distributing data ownership across different organizational domains.

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MIT Study: Using ChatGPT Won’t Make You Dumb (Unless You Do It Wrong)

Alberto Romero

Sitemap Open in app Sign up Sign in Medium Logo Write Sign up Sign in Member-only story MIT Study: Using ChatGPT Won’t Make You Dumb (Unless You Do It Wrong) A nuanced AI study, you’ve got to love it! Alberto Romero Follow 11 min read · 1 day ago -- Share MIT has published a study on how using large language models (LLMs) like ChatGPT affects your brain and your cognitive capacity.

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Dimensions in data warehousing

Dataconomy

Dimensions in data warehousing play a critical role in transforming raw data into meaningful insights. By organizing data into manageable structures, these dimensions provide context and enable businesses to analyze their operations effectively. Understanding dimensions allows for better querying, reporting, and decision-making, making them an essential aspect of any data warehouse design.

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

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.

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Leveraging viral genome sequences and machine learning models for identification of potentially selective antiviral agents

Flipboard

Viral genome sequencing provides valuable information for antiviral development, yet its integration with machine learning for virtual screening remains underexplored. To bridge this gap, viral genome sequences were combined with structural data of approved and investigational antivirals to identify virus-selective agents. In parallel, quantitative structure-activity relationship (QSAR) models were built to predict pan-antivirals.

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Actionable intelligence

Dataconomy

Actionable intelligence is a powerful concept that transforms raw data into decisions that drive immediate action. In today’s fast-paced environment, businesses and organizations need to move beyond traditional analytics and embrace insights that can affect change in real-time. This new wave of intelligence, characterized by its applicability and speed, plays a crucial role in various sectors, enhancing decision-making and operational efficiency.

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Giant, all-seeing telescope is set to revolutionize astronomy

Hacker News

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Wix acquires AI coding startup Base44 for $80M

Dataconomy

Israeli developer Maor Shlomo sold his six-month-old vibe-coding startup, Base44, to Wix for $80 million in cash, Wix announced Wednesday. Base44, which was bootstrapped, experienced rapid growth before the acquisition. While not a “solo unicorn,” as Base44 had eight employees, the sale has generated discussion regarding the potential for highly productive individuals to create valuable companies using AI.

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How to Modernize Manufacturing Without Losing Control

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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Trust ’25 Recap: The Latest in AI, Modernization, and Location Intelligence

Precisely

There’s a special kind of energy that comes from bringing data leaders together with a shared goal: unlocking more value from their data. At Trust ’25, our virtual Data Integrity Summit, that energy was palpable. Data and analytics professionals from around the world joined us to explore what’s next for trusted data – and how to achieve it. This year, we focused on one powerful idea: when you show your data some love , it returns the favor – with sharper insights, stronger performance, and more

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SequenceFile

Dataconomy

SequenceFile is a pivotal component in the Apache Hadoop ecosystem, instrumental in managing and processing large datasets efficiently. Its ability to package data in a format optimized for distribution makes it a valuable asset for data-heavy applications, particularly when utilizing the MapReduce programming model. What is a SequenceFile? A SequenceFile is a binary file type designed for Hadoop, which serves as a container for pairs of keys and values.

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Defending the Internet: how Cloudflare blocked a monumental 7.3 Tbps DDoS attack

Hacker News

In mid-May 2025, Cloudflare blocked the largest DDoS attack ever recorded: a staggering 7.3 terabits per second (Tbps). This comes shortly after the publication of our DDoS threat report for 2025 Q1 on April 27, 2025, where we highlighted attacks reaching 6.5 Tbps and 4.8 billion packets per second (pps). The 7.3 Tbps attack is 12% larger than our previous record and 1 Tbps greater than a recent attack reported by cyber security reporter Brian Krebs at KrebsOnSecurity.

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Decision-making process

Dataconomy

The decision-making process is foundational to effectively navigating challenges in both personal and professional contexts. It encompasses a structured approach that helps individuals and organizations analyze situations, explore options, and ultimately choose the most appropriate course of action. Understanding this process can significantly enhance your ability to tackle complex problems and make informed choices.

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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

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.