databricks

JUNE 11, 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

Analytics 331

Analytics Analytics Data Science AI 331

KDnuggets

JUNE 11, 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 Bridging the Gap: New Datasets Push Recommender Research Toward Real-World Scale Publicly available datasets in recommender research currently shaping the field.

Natural Language Processing 308

Natural Language Processing Data Science Machine Learning Machine Learning 308

insideBIGDATA

JUNE 10, 2025

A rare day in June to you! As the ISC 2025 supercomputing conference, we reflect on interesting recent news in the world of HPC-AI, including: – French government to acquire Eviden from Atos – Made-in-China 5nm chips from Huawei – World Semiconductor Trade Statistics (WSTS) market forecast – AI eerily defies human control.

AI 354

AI AI 354

Analytics Vidhya

JUNE 9, 2025

Ever waited too long for a model to return predictions? We have all been there. Machine learning models, especially the large, complex ones, can be painfully slow to serve in real time. Users, on the other hand, expect instant feedback. That’s where latency becomes a real problem. Technically speaking, one of the biggest problems is […] The post Accelerate Machine Learning Model Serving With FastAPI and Redis Caching appeared first on Analytics Vidhya.

Machine Learning 258

Machine Learning Machine Learning Analytics Analytics 258

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.

Analytics

Machine Learning Mastery

JUNE 10, 2025

There’s no doubt that search is one of the most fundamental problems in computing.

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databricks

JUNE 11, 2025

At the Data and AI Summit, we introduced a new category of operational databases called lakebases for building intelligent applications.

Database 352

Database AI AI 352

insideBIGDATA

JUNE 12, 2025

San Sebastian, Spain – June 12, 2025: Multiverse Computing has developed CompactifAI, a compression technology capable of reducing the size of LLMs (Large Language Models) by up to 95 percent while maintaining model performance, according to the company. The company today also announced a €189 million ($215 million) investment round.

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Analytics Vidhya

JUNE 12, 2025

Landing a data science role isn’t just about coding and modeling anymore. Interviewers increasingly focus on behavioral questions to assess your problem-solving, communication, and teamworking skills. In this article, we’ll explore what these questions are, why they matter, and how to answer them using proven techniques. I’ll also provide you with 20 sample behavioral questions […] The post 20 Behavioral Questions to Ace Your Next Data Science Interview appeared first on Analyt

Data Science 181

Data Science Analytics Analytics 181

Hacker News

JUNE 11, 2025

New! Platform Platform AI Runtime Protection Runtime Security for your AI applications and agents Aim for End Users Allow your employees to securely adopt AI AI Agent Security Enterprise-grade security for your AI agents AI Security Posture Management Secure your AI dev lifecycle, from training to inference Latest from our blog The Agentic AI Revolution is Here MCP Explained: The Security Essentials of Proactive AI Go to Blog Use Cases Use Cases Discover Shadow AI AI Adoption Acceleration End-to

AI 178

AI AI 178

databricks

JUNE 12, 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

Data Engineering 230

Data Engineering Data Engineering Data Engineer Data Engineering 230

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.

AI

KDnuggets

JUNE 10, 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 Integrating DuckDB & Python: An Analytics Guide Learn how to run lightning-fast SQL queries on local files with ease.

Python 274

Python Analytics Analytics SQL 274

insideBIGDATA

JUNE 12, 2025

Multiverse Computing has developed CompactifAI, a compression technology capable of reducing the size of LLMs (Large Language Models) by up to 95 percent while maintaining model performance, according to the company.

AI 195

AI AI 195

Analytics Vidhya

JUNE 11, 2025

The world of AI has just taken a gigantic leap forward by Edge Gallery Google. Just in the last week, Google quietly launched AI Edge Gallery, a democratizing application for AI. Google Edge AI enables the execution of powerful language models directly on our smartphones, eliminating dependency on the cloud and offering no subscription fees. […] The post Run LLMs Locally for Free Using Google’s Latest App!

Analytics 218

Analytics Analytics AI AI 218

Flipboard

JUNE 12, 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 How to Learn Math for Data Science: A Roadmap for Beginners Confused about where to start with data science math?

Data Science 152

Data Science Natural Language Processing Hypothesis Testing Machine Learning 152

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

AI

databricks

JUNE 11, 2025

Today, we are excited to announce the availability of Databricks Free Edition, a product for learning and exploring the latest data and AI technologies for free.

AI 277

AI AI 277

KDnuggets

JUNE 12, 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 Building a Custom PDF Parser with PyPDF and LangChain PDFs look simple — until you try to parse one.

Data Science 257

Data Science Natural Language Processing Python Machine Learning 257

insideBIGDATA

JUNE 12, 2025

Language AI company DeepL announced the deployment of an NVIDIA DGX SuperPOD with DGX Grace Blackwell 200 systems. The company said the system will enable DeepL to translate the entire internet – which currently takes 194 days of nonstop processing – in just over 18 days.

AI 221

AI AI 221

Analytics Vidhya

JUNE 10, 2025

A rather brutal truth has emerged in the AI industry, redefining what we consider the true capabilities of AI. A research paper titled “The Illusion of Thinking” has sent ripples across the tech world, exposing reasoning flaws in prominent AI ‘so-called reasoning’ models – Claude 3.7 Sonnet (thinking), DeepSeek-R1, and OpenAI’s o3-mini (high).

Analytics 201

Analytics Analytics AI AI 201

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.

AI

Dataconomy

JUNE 10, 2025

Nvidia CEO Jensen Huang stated at London Tech Week on Monday that artificial intelligence serves as an “equalizer,” enabling users to program with natural language. Huang addressed the challenges of traditional computing, noting the necessity for specialized programming languages and complex computer architecture. He said, “We had to learn programming languages.

AI 176

AI AI Artificial Intelligence Artificial Intelligence 176

databricks

JUNE 12, 2025

We’re excited to announce Lakeflow Designer, an AI-powered, no-code pipeline builder that is fully integrated with the Databricks Data Intelligence Platform.

ETL 216

ETL AI AI 216

KDnuggets

JUNE 11, 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 Why You Need RAG to Stay Relevant as a Data Scientist How retrieval-augmented generation (RAG) reduces LLM costs, minimises hallucinations, and keeps you employable in the age of AI.

Data Scientist 237

Data Scientist Data Science Natural Language Processing Machine Learning 237

insideBIGDATA

JUNE 10, 2025

Austrian synthetic data firm MOSTLY AI has launched a $100,000 prize challenge to raise awareness of how synthetic data can be used to create open-access datasets for businesses, AI developers and other organizations.

AI 221

AI AI 221

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?

Flipboard

JUNE 13, 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 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.

Analytics 158

Analytics Analytics Data Science Natural Language Processing 158

Analytics Vidhya

JUNE 11, 2025

Nowadays, machine learning has become an integral part of various industries such as finance, healthcare, software, and data science. However, to develop a good and working ML model, setting up the necessary environments and tools is essential, and sometimes it may create many problems as well. Now, imagine training models like XGBoost directly in your […] The post Browser-Based XGBoost: Train Models Without Jupyter or IDEs appeared first on Analytics Vidhya.

Machine Learning 160

Machine Learning Machine Learning Data Science ML 160

databricks

JUNE 11, 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

AI 191

AI AI SQL Data Science 191

KDnuggets

JUNE 10, 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 Python Errors That Are Actually Features You never expected these Python errors to help your work, but they do!

Python 226

Python Natural Language Processing Data Science Machine Learning 226

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

Hacker News

JUNE 11, 2025

Today's AI systems have human-designed, fixed architectures and cannot autonomously and continuously improve themselves. The advance of AI could itself be automated. If done safely, that would accelerate AI development and allow us to reap its benefits much sooner. Meta-learning can automate the discovery of novel algorithms, but is limited by first-order improvements and the human design of a suitable search space.

Algorithm 139

Algorithm AI AI 139

Flipboard

JUNE 10, 2025

Many enterprise AI agent development efforts never make it to production and it’s not because the technology isn’t ready. The problem, according to Databricks, is that companies are still relying on manual evaluations with a process that’s slow, inconsistent and difficult to scale.

AI 173

AI AI Artificial Intelligence Artificial Intelligence 173

Machine Learning Mastery

JUNE 12, 2025

Imbalanced datasets, where a majority of the data samples belong to one class and the remaining minority belong to others, are not that rare.

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databricks

JUNE 11, 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

Database 207

Database Data Lakes ETL Analytics 207

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

databricks

MAY 14, 2025

Today, we are excited to announce that we have agreed to acquire Neon, a developer-first, serverless Postgres company.

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