KDnuggets

JULY 21, 2025

Whether you’re visualizing climate data or plotting sales trends, the goal is clarity. The key is to start simple, iterate often, and don’t fear the documentation. Remember, even experts Google “how to add a second y-axis” sometimes.

Natural Language Processing 199

Natural Language Processing Data Science Machine Learning Machine Learning 199

databricks

JULY 23, 2025

Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data!

Database 218

Database Data Warehouse Data Engineer Data Engineering 218

KDnuggets

JUNE 19, 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 Go vs. Python for Modern Data Workflows: Need Help Deciding?

Python 284

Python Natural Language Processing Data Science Machine Learning 284

Flipboard

JULY 16, 2025

Document Everything : Keep clear and versioned documentation of how each feature is created, transformed, and validated. Use Automation : Use tools like feature stores, pipelines, and automated feature selection to maintain consistency and reduce manual errors.

Machine Learning 153

Machine Learning Machine Learning Natural Language Processing Data Science 153

databricks

JULY 22, 2025

Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data!

Data Engineer 202

Data Engineer Data Engineering Data Engineering Data Engineering 202

AWS Machine Learning Blog

DECEMBER 4, 2024

Building generative AI applications presents significant challenges for organizations: they require specialized ML expertise, complex infrastructure management, and careful orchestration of multiple services. The following diagram illustrates the conceptual architecture of an AI assistant with Amazon Bedrock IDE.

AWS 106

AWS AI AI SQL 106

AWS Machine Learning Blog

OCTOBER 23, 2024

The landscape of enterprise application development is undergoing a seismic shift with the advent of generative AI. This intuitive platform enables the rapid development of AI-powered solutions such as conversational interfaces, document summarization tools, and content generation apps through a drag-and-drop interface.

AI 89

AI AI AWS Database 89

KDnuggets

JULY 24, 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 Free Online Courses to Master Python in 2025 How can you master Python for free?

Python 252

Python Data Science Natural Language Processing Machine Learning 252

AWS Machine Learning Blog

DECEMBER 4, 2024

Businesses are under pressure to show return on investment (ROI) from AI use cases, whether predictive machine learning (ML) or generative AI. Only 54% of ML prototypes make it to production, and only 5% of generative AI use cases make it to production. This post is cowritten with Isaac Cameron and Alex Gnibus from Tecton.

ML 101

ML ML AWS AI 101

AWS Machine Learning Blog

JANUARY 7, 2025

It is critical for AI models to capture not only the context, but also the cultural specificities to produce a more natural sounding translation. The solution offers two TM retrieval modes for users to choose from: vector and document search. For this post, we use a document store. Choose With Document Store.

AWS 113

AWS Python AI AI 113

AWS Machine Learning Blog

JANUARY 7, 2025

Generative AI applications are gaining widespread adoption across various industries, including regulated industries such as financial services and healthcare. To address this need, AWS generative AI best practices framework was launched within AWS Audit Manager , enabling auditing and monitoring of generative AI applications.

AWS 111

AWS AI AI Database 111

AWS Machine Learning Blog

JULY 3, 2025

This challenge led Swisscom , Switzerland’s leading telecommunications provider, to explore how AI can transform their network operations. This solution combines generative AI capabilities with a sophisticated data processing pipeline to help engineers quickly access and analyze network data.

AWS 67

AWS AI AI SQL 67

phData

NOVEMBER 4, 2024

It must integrate seamlessly across data technologies in the stack to execute various workflows—all while maintaining a strong focus on performance and governance. Two key technologies that have become foundational for this type of architecture are the Snowflake AI Data Cloud and Dataiku. Let’s say your company makes cars.

Machine Learning 69

Machine Learning Machine Learning Data Science Data Preparation 69

How to Learn Machine Learning

DECEMBER 24, 2024

If you’re diving into the world of machine learning, AWS Machine Learning provides a robust and accessible platform to turn your data science dreams into reality. Today, we’ll explore why Amazon’s cloud-based machine learning services could be your perfect starting point for building AI-powered applications.

Machine Learning 52

Machine Learning Machine Learning AWS ML 52

AWS Machine Learning Blog

JANUARY 15, 2025

This post introduces HCLTechs AutoWise Companion, a transformative generative AI solution designed to enhance customers vehicle purchasing journey. Powered by generative AI services on AWS and large language models (LLMs) multi-modal capabilities, HCLTechs AutoWise Companion provides a seamless and impactful experience.

AWS 104

AWS SQL AI AI 104

AWS Machine Learning Blog

JULY 11, 2025

In Part 1 of this series, we explored how Amazon’s Worldwide Returns & ReCommerce (WWRR) organization built the Returns & ReCommerce Data Assist (RRDA)—a generative AI solution that transforms natural language questions into validated SQL queries using Amazon Bedrock Agents.

Business Intelligence 108

Business Intelligence Business Intelligence SQL AWS 108

AWS Machine Learning Blog

APRIL 3, 2025

At the heart of this transformation is the OMRON Data & Analytics Platform (ODAP), an innovative initiative designed to revolutionize how the company harnesses its data assets. The robust security features provided by Amazon S3, including encryption and durability, were used to provide data protection.

AWS 85

AWS Data Governance Data Silos SQL 85

Flipboard

JUNE 24, 2025

VB Transform brings together the people building real enterprise AI strategy. Learn more Walmart isn’t buying enterprise AI solutions, they’re creating them in their AI foundry. Learn more Walmart isn’t buying enterprise AI solutions, they’re creating them in their AI foundry.

AI 175

AI AI Data Scientist Data Pipeline 175

AWS Machine Learning Blog

OCTOBER 24, 2024

Amazon Bedrock Agents helps you accelerate generative AI application development by orchestrating multistep tasks. With the power of AI automation, you can boost productivity and reduce cost. The generative AI–based application builder assistant from this post will help you accomplish tasks through all three tiers.

AWS 97

AWS SQL Database AI 97

phData

APRIL 28, 2025

Well start by breaking down what a Matillion pipeline is, then dive into some best practices to keep your workflows clean, scalable, and easy to maintain. As a bonus, well check out Matillions AI Copilot and see how AI can help take workflow design to the next level. Data tables used and their role in the workflow.

AI 52

AI AI SQL ETL 52

Dataconomy

JUNE 25, 2025

Clean, interoperable data pipelines : Having region-specific analytics, differentiated content such as marketing materials translated into various languages, and numerous CRM instances all add up to global operations. Consistent execution requires defined change management workflows and clearly delineated onboarding documentation.

Analytics 103

Analytics Analytics Data Pipeline Data Science 103

Pickl AI

DECEMBER 25, 2024

It integrates diverse, high-quality content from 22 sources, enabling robust AI research and development. Its accessibility and scalability make it essential for applications like text generation, summarisation, and domain-specific AI solutions. Its diverse content includes academic papers, web data, books, and code.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning AI 52

Precisely

FEBRUARY 20, 2025

Key Takeaways Trusted data is critical for AI success. Data integration ensures your AI initiatives are fueled by complete, relevant, and real-time enterprise data, minimizing errors and unreliable outcomes that could harm your business. Data integration solves key business challenges.

Data Silos 69

Data Silos AI AI Data Quality 69

Pickl AI

NOVEMBER 29, 2024

Use Cases in ML Workflows Hydra excels in scenarios requiring frequent parameter tuning, such as hyperparameter optimisation, multi-environment testing, and orchestrating pipelines. It also simplifies managing configuration dependencies in Deep Learning projects and large-scale data pipelines.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

AWS Machine Learning Blog

FEBRUARY 21, 2025

Whether youre new to AI development or an experienced practitioner, this post provides step-by-step guidance and code examples to help you build more reliable AI applications. The agent knowledge base stores Amazon Bedrock service documentation, while the cache knowledge base contains curated and verified question-answer pairs.

AWS 124

AWS Natural Language Processing Machine Learning Machine Learning 124

Pickl AI

APRIL 21, 2025

Semi-Structured Data: Data that has some organizational properties but doesn’t fit a rigid database structure (like emails, XML files, or JSON data used by websites). Unstructured Data: Data with no predefined format (like text documents, social media posts, images, audio files, videos).

Big Data 52

Big Data Big Data Data Science Machine Learning 52

databricks

JUNE 12, 2025

Events Data + AI Summit Data + AI World Tour Data Intelligence Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more Databricks Mosaic Research Blog Discover the latest in our Gen AI research Data Brew Podcast Let’s talk data!

SQL 221

SQL Data Engineer Data Engineering Data Engineering 221

Dataconomy

MARCH 20, 2025

As AI technologies continue to evolve, understanding the functionalities and development stages of LLM applications is essential for both new and seasoned developers. Data collection and preparation Quality data is paramount in training an effective LLM. KLU.ai: Offers no-code solutions for smooth data source integration.

Data Preparation 91

Data Preparation Data Pipeline Data Quality Database 91

ODSC - Open Data Science

MARCH 19, 2025

As AI and data engineering continue to evolve at an unprecedented pace, the challenge isnt just building advanced modelsits integrating them efficiently, securely, and at scale. This session explores open-source tools and techniques for transforming unstructured documents into structured formats like JSON and Markdown.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Hacker News

JULY 1, 2025

Prior to that, I spent a couple years at First Orion - a smaller data company - helping found & build out a data engineering team as one of the first engineers. We were focused on building data pipelines and models to protect our users from malicious phonecalls. I am interested in contract work if it is the right fit.

Python 54

Python AWS SQL ML 54

Flipboard

JUNE 17, 2025

Generative AI has rapidly evolved from a novelty to a powerful driver of innovation. From summarizing complex legal documents to powering advanced chat-based assistants, AI capabilities are expanding at an increasing pace. Gartner predicts that 30% of generative AI projects will be abandoned in 2025.

Data Quality 145

Data Quality AWS AI AI 145

Flipboard

JUNE 3, 2025

To solve this, Noodoe has integrated large language models (LLMs) through Amazon Bedrock and Amazon Bedrock Agents to deliver intelligent automation, real-time data access, and multilingual support. In this post, we explore how Noodoe uses AI and Amazon Bedrock to optimize EV charging operations.

AWS 137

AWS Apache Kafka Database AI 137

Pickl AI

MARCH 19, 2025

Summary: Data engineering tools streamline data collection, storage, and processing. Learning these tools is crucial for building scalable data pipelines. offers Data Science courses covering these tools with a job guarantee for career growth. Below are 20 essential tools every data engineer should know.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Flipboard

APRIL 15, 2025

Most AI teams focus on the wrong things. Heres a common scene from my consulting work: AI TEAM Heres our agent architectureweve got RAG here, a router there, and were using this new framework for ME [Holding up my hand to pause the enthusiastic tech lead] Can you show me how youre measuring if any of this actually works?

AI 166

AI AI Database ML 166

Hacker News

JUNE 4, 2025

Give us feedback → Edit this page Scroll to top Blog Why Go is a good fit for agents Why Go is a good fit for agents Since you’re here, you might be interested in checking out Hatchet — the platform for running background tasks, data pipelines and AI agents at scale. They often involve input from a user (or another agent!)

Python 167

Python Database Data Pipeline Machine Learning 167

Towards AI

FEBRUARY 17, 2025

Originally published on Towards AI. RAFT vs Fine-Tuning Image created by author As the use of large language models (LLMs) grows within businesses, to automate tasks, analyse data, and engage with customers; adapting these models to specific needs (e.g., Solution: Use overlapping chunks (e.g.,

Database 96

Database Data Pipeline Data Preparation Data Quality 96

AWS Machine Learning Blog

MARCH 27, 2025

In this post, we explore how you can use Amazon Bedrock to generate high-quality categorical ground truth data, which is crucial for training machine learning (ML) models in a cost-sensitive environment. Lets look at how generative AI can help solve this problem.

AWS 111

AWS ETL ML ML 111