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. MORE
KDnuggets
JULY 8, 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 Build ETL Pipelines for Data Science Workflows in About 30 Lines of Python Want to understand how ETL really works?
Data Science Dojo
JULY 8, 2025
Model Context Protocol (MCP) is rapidly emerging as the foundational layer for intelligent, tool-using AI systems, especially as organizations shift from prompt engineering to context engineering. Developed by Anthropic and now adopted by major players like OpenAI and Microsoft , MCP provides a standardized, secure way for large language models (LLMs) and agentic systems to interface with external APIs, databases, applications, and tools.
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KDnuggets
JULY 7, 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 10 GitHub Repositories for Mastering Agents and MCPs Learn how to build your own agentic AI application with free tutorials, guides, courses, projects, example code, research papers, and more.
databricks
JULY 7, 2025
Skip to main content Login Why Databricks Discover For Executives For Startups Lakehouse Architecture Mosaic Research Customers Customer Stories Partners Cloud Providers Databricks on AWS, Azure, GCP, and SAP Consulting & System Integrators Experts to build, deploy and migrate to Databricks Technology Partners Connect your existing tools to your Lakehouse C&SI Partner Program Build, deploy or migrate to the Lakehouse Data Partners Access the ecosystem of data consumers Partner Solutions
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.
Data Science Dojo
JULY 7, 2025
Context engineering is quickly becoming the new foundation of modern AI system design, marking a shift away from the narrow focus on prompt engineering. While prompt engineering captured early attention by helping users coax better outputs from large language models (LLMs), it is no longer sufficient for building robust, scalable, and intelligent applications.
Analytics Vidhya
JULY 7, 2025
Recommendation systems are everywhere. From Netflix and Spotify to Amazon. But what if you wanted to build a visual recommendation engine? One that looks at the image, not just the title or tags? In this article, you’ll build a men’s fashion recommendation system. It will use image embeddings and the Qdrant vector database. You’ll go […] The post Build a Men’s Fashion Recommendation System Using FastEmbed and Qdrant appeared first on Analytics Vidhya.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
KDnuggets
JULY 4, 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 Serve Machine Learning Models via REST APIs in Under 10 Minutes Stop leaving your models on your laptop.
Dataconomy
JULY 9, 2025
A new report from Incogni evaluates the data privacy practices of today’s most widely used AI platforms. As generative AI and large language models (LLMs) become deeply embedded in everyday tools and services, the risk of unauthorized data collection and sharing has surged. Incogni’s researchers analyzed nine leading platforms using 11 criteria to understand which systems offer the most privacy-friendly experience.
Analytics Vidhya
JULY 8, 2025
The traditional single-modal data approaches often miss important insights that are present in cross-modal relations. Multi-Modal Analysis brings together diverse sources of data, such as text, images, audio, and more similar data to provide a more complete view of an issue. This multi-modal data analysis is called multi-modal data analytics, and it improves prediction accuracy […] The post What is Multi-Modal Data Analysis?
JULY 7, 2025
Researchers developed a way to make large language models more adaptable to challenging tasks like strategic planning or process optimization.
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!
Dataconomy
JULY 4, 2025
Google has open-sourced its Zero-Knowledge Proof (ZKP) libraries, delivering on a commitment and leveraging a partnership with Sparkasse to support age assurance within the European Union. This initiative aims to facilitate the development of privacy-enhancing applications and digital identity solutions by developers in both private and public sectors, addressing a pressing demand.
Machine Learning Research at Apple
JULY 9, 2025
Driven by steady progress in deep generative modeling, simulation-based inference (SBI) has emerged as the workhorse for inferring the parameters of stochastic simulators. However, recent work has demonstrated that model misspecification can compromise the reliability of SBI, preventing its adoption in important applications where only misspecified simulators are available.
Analytics Vidhya
JULY 8, 2025
Are you an AI engineer, wondering how to attain resources that can put your skills to a practical test? It might be difficult to look for the right solution for you, based on the vast amount of information out there. Hence, we present this list of all ten GitHub llm repositories every AI engineer ought […] The post 10 GitHub LLM Repositories Every AI Engineer Should Know appeared first on Analytics Vidhya.
JULY 9, 2025
The people building AI are saying — subtly and unsubtly — that the technology is advancing more rapidly than the vast majority of people realize.
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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.
KDnuggets
JULY 7, 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 7 DuckDB SQL Queries That Save You Hours of Pandas Work See how DuckDB outperforms Pandas in real world tasks like filtering, cohort analysis and revenue modelling all within your notebook.
Hacker News
JULY 9, 2025
More than likely the person buying your game is not going to play it.
insideBIGDATA
JULY 9, 2025
PALO ALTO, Calif.—June 24, 2025—Auxia, an agentic customer orchestration platform, today announced advancements to its Analyst Agent, enabling marketing teams to discover insights from their campaigns through natural language conversations that happen in real-time. Simple questions like “Which customers are most likely to upgrade?” now get immediate answers with visual explanations showing exactly why.
Analytics Vidhya
JULY 7, 2025
Artificial Intelligence is at an inflection point where computer vision systems are breaking out of their classical limitations. While good at recognizing objects and patterns, they have traditionally been limited when it came to making considerations of context and reasoning. Introducing Retrieval Augemented Generation (RAG) to the scenario – changing the game in the way […] The post 7 RAG Applications for Computer Vision appeared first on Analytics Vidhya.
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 7, 2025
Reinforcement learning, explained with a minimum of math and jargon.
KDnuggets
JULY 8, 2025
Forget data silos. You can build a modern data lakehouse that gives you transactional consistency, schema evolution, and top-tier performance, all in one place with Apache Iceberg and Apache Spark.
Machine Learning Research at Apple
JULY 6, 2025
This paper was presented at the Workshop on Reliable and Responsible Foundation Models at ICML 2025. Large Language Models (LLMs) have demonstrated impressive generalization capabilities across various tasks, but their claim to practical relevance is still mired by concerns on their reliability. Recent works have proposed examining the activations produced by an LLM at inference time to assess whether its answer to a question is correct.
Dataconomy
JULY 9, 2025
French AI startup Mistral is negotiating with investors, including Abu Dhabi’s MGX fund, to secure up to $1 billion in equity funding, according to Bloomberg. Concurrently, Mistral is engaging with French financial institutions, such as Bpifrance SACA, to obtain several hundred million euros in debt financing. These discussions aim to bolster Mistral’s financial position within the global artificial intelligence sector.
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.
Hacker News
JULY 9, 2025
Biomni: a general-purpose biomedical AI agent. Contribute to snap-stanford/Biomni development by creating an account on GitHub.
JULY 9, 2025
Hugging Face, the $4.5 billion artificial intelligence platform that has become the GitHub of machine learning, announced Tuesday the launch of Reachy Mini, a $299 desktop robot designed to bring AI-powered robotics to millions of developers worldwide.
KDnuggets
JULY 8, 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 7 Steps to Mastering Vibe Coding Learn how to master vibe coding in these 7 steps, and transform AI code generation into a professional superpower.
Machine Learning Research at Apple
JULY 9, 2025
Wearable devices record physiological and behavioral signals that can improve health predictions. While foundation models are increasingly used for such predictions, they have been primarily applied to low-level sensor data, despite behavioral data often being more informative due to their alignment with physiologically relevant timescales and quantities.
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
Dataconomy
JULY 8, 2025
Ruoming Pang, Apple’s head of AI models, is reportedly departing the company to join Meta, according to a Monday report by Bloomberg. This recruitment marks the latest addition of a high-ranking artificial intelligence executive to Meta CEO Mark Zuckerberg’s new AI superintelligence unit. Pang previously led Apple’s internal team responsible for training the AI foundation models.
Analytics Vidhya
JULY 5, 2025
Have you ever been stuck in a situation where you have a huge dataset and you wanted insights from it? Sounds scary, right? Getting useful insights, especially from a huge dataset, is a tall order. Imagine transforming your dataset into an interactive web application without any frontend expertise for data visualization. Gradio, when used alongside […] The post 9 Steps for Crafting an Interactive Dashboard using Python and Gradio appeared first on Analytics Vidhya.
JULY 6, 2025
Chances are that you have unknowingly encountered compelling online content that was created, either wholly or in part, by some version of a Large …
KDnuggets
JULY 10, 2025
Learn the key CLI commands for automated competition submission, downloading and uploading data, running code on free cloud compute, and accessing large AI models.
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.
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.
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