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Build a Men’s Fashion Recommendation System Using FastEmbed and Qdrant

Analytics Vidhya

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.

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The Sens-AI Framework: Teaching Developers to Think with AI

O'Reilly on Data

Developers are doing incredible things with AI. Tools like Copilot, ChatGPT, and Claude have rapidly become indispensable for developers, offering unprecedented speed and efficiency in tasks like writing code, debugging tricky behavior, generating tests, and exploring unfamiliar libraries and frameworks. When it works, it’s effective, and it feels incredibly satisfying.

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CIOs rethink public cloud as AI strategies mature

CIO Business Intelligence

CIOs have begun to rethink their reliance on the public cloud for AI and other workloads, with resurgent interest in private cloud and on-premises environments accelerating. While the public cloud provides the flexibility to spin up large numbers of GPUs for AI experimentation, CIOs are looking to private cloud or on-premises environments as their AI strategies mature , and settle into predictable AI workloads, to limit spending and protect data privacy, says Greg Whalen , CTO of data observabil

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10 GitHub Awesome Lists for Data Science

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 10 GitHub Awesome Lists for Data Science Most popular educational resource list on GitHub for Python, R, SQL, analytics, machine learning, datasets, and more.

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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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The Unreasonable Effectiveness of Data Management

David Menninger's Analyst Perspectives

If a single phrase could sum up the big data craze of a dozen or so years ago, it would be “more data beats better algorithms.” Attributed to Google research director Peter Norvig, the quote effectively summarized a research paper Norvig jointly authored called The Unreasonable Effectiveness of Data and was embraced by big data enthusiasts as articulating the prevalent thinking that enterprises with the largest volumes of data have an advantage over rivals.

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Overcome your Kafka Connect challenges with Amazon Data Firehose

AWS Big Data

Apache Kafka is a popular open source distributed streaming platform that is widely used in the AWS ecosystem. It’s designed to handle real-time, high-throughput data streams, making it well-suited for building real-time data pipelines to meet the streaming needs of modern cloud-based applications. For AWS customers looking to run Apache Kafka, but don’t want to worry about the undifferentiated heavy lifting involved with self-managing their Kafka clusters, Amazon Managed Streaming for Apache Ka

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Unlocking business transformation through agentic AI

CIO Business Intelligence

Digital transformation is not merely about adopting new technologies; it’s about fundamentally rethinking how an organization operates and delivers value to its customers. A transformational journey typically involves multiple stages from recognizing the need for change to implementing and sustaining new ways of working. Throughout this journey, agentic AI solutions can play a pivotal role by automating processes, enhancing decision-making and driving innovation.

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Serve Machine Learning Models via REST APIs in Under 10 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 Serve Machine Learning Models via REST APIs in Under 10 Minutes Stop leaving your models on your laptop.

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Boomi Enables Data Management and Agentic AI

David Menninger's Analyst Perspectives

One of the key questions that will need to be solved if agentic artificial intelligence is to fulfill its potential is which technologies and providers will serve the role of orchestrating communication and integration between the various models, applications and data repositories involved. ISG Research defines agentic AI as software designed to execute business processes through autonomous actions, potentially controlling multiple processes and systems through the orchestration of one or more A

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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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The 5 Silent Killers of Production RAG

Analytics Vidhya

Last week, I took the stage at one of the nation’s premier AI conferences  – SSON Intelligent Automation Week 2025 to deliver some uncomfortable truths about enterprise RAG. What I shared about the 42% increase in failure rate caught even seasoned practitioners off guard. Here’s what I told them ,  and why it matters for every […] The post The 5 Silent Killers of Production RAG appeared first on Analytics Vidhya.

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5 Ways Artificial Intelligence Can Support SMB Growth at a Time of Economic Uncertainty in Industries

DataFloq

Although 55% of small and medium-sized businesses (SMBs) realise that artificial intelligence (AI) could bring huge benefits to their operations, 43% still have no plans to use AI technology. Economic uncertainty is making many SMB owners hesitant to make changes since the market is so unstable and budgets are tightened. This hesitancy can result in businesses falling behind the competition and risking their growth.

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Business survival requires an IT org that stands apart

CIO Business Intelligence

Book reviewers agree that the best biographies focus on telling a complete story of how the life being discussed deviates from those around it. I believe an essential and all too frequently missing part of the CIO narrative and organizational strategy is how our IT differs from the IT of others in our sector, with granular elaboration of the benefits associated with said variance.

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A Gentle Introduction to Principal Component Analysis (PCA) in Python

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 A Gentle Introduction to Principal Component Analysis (PCA) in Python The most popular method for feature reduction and data compression, gently explained via implementation with Scikit-learn in Python.

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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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Learning That Learns: How AI is Changing the LMS Game

David Menninger's Analyst Perspectives

The learning management system (LMS) market is evolving, with the lines that once rigidly defined categories becoming increasingly blurred. Today, an LMS that lacks Learning Experience Platform (LXP) capabilities risks becoming obsolete in an environment where user expectations are shifting rapidly. In a similar vein, an LMS and LXP that fail to harness the power of artificial intelligence (AI) to guide learners through their diverse learning journeys face a similar fate.

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60 Python Interview Questions For Data Analyst

Analytics Vidhya

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

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Build conversational AI search with Amazon OpenSearch Service

AWS Big Data

Retrieval Augmented Generation (RAG) is a well-known approach to creating generative AI applications.

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4 things that make an AI strategy work in the short and long term

CIO Business Intelligence

Analysts have urged technology leaders to manage expectations, especially for gen AI, which often promises more than it delivers in the short run. Gartner suggests CIOs must help CFOs see AI as a long-term strategic play, while Forrester warns that unmet expectations of immediate returns on AI investments will cause many enterprises to scale back efforts sooner than they should.

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Data Talks, CFOs Listen: Why Analytics Are Key To Better Spend Management

Speaker: Claire Grosjean, Global Finance & Operations Executive

Finance teams are drowning in data—but is it actually helping them spend smarter? Without the right approach, excess spending, inefficiencies, and missed opportunities continue to drain profitability. While analytics offers powerful insights, financial intelligence requires more than just numbers—it takes the right blend of automation, strategy, and human expertise.

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AI-First Google Colab is All You Need

KDnuggets

Let's take a closer look at Google Colab's new AI features, and find out how you can use them to increase your daily data workflow productivity.

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Shift Happens: How Smart Scheduling and AI Are Reshaping Frontline Work

David Menninger's Analyst Perspectives

Frontline work is being reshaped from every direction: tighter labor pools, unpredictable demand and a workforce that expects more than just a paycheck. Yet too many organizations are still treating workforce scheduling like a game of Tetris—moving blocks around and hoping they fit. It’s time to admit that smart scheduling isn’t just a nice-to-have—it’s a frontline imperative.

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Top 10 AI Tools for Stock Trading

Analytics Vidhya

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.

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Using Graph Databases to Model Patient Journeys and Clinical Relationships

DataFloq

Rapid digitization in the healthcare segment is establishing a modern health ecosystem, improving patient care and process efficiency. With cutting-edge technologies like AI , IoT, and telehealth platforms, the ecosystem delivers more speed and precision to address key medical issues and public health challenges. The result is a well-established and interconnected health data framework that serves as the backbone for innovative solutions in healthcare.

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State of AI in Sales & Marketing 2025

AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.

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Hertz adopts AI for fleet and workforce management

CIO Business Intelligence

Hertz got its start renting out a dozen Model T Fords more than 100 years ago. Today, Hertz operates in 160 countries and has more than 20,000 employees and 500,000 vehicles in its fleet. To streamline an operation with so many moving parts, the company has deployed Hertz Connected Fleet OS, an AI-enabled operating system for fleet management. “This is all around our purpose for our customers, which is making sure we have the right car, at the right place, at the right time,” said EVP and CIO Ti

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7 DuckDB SQL Queries That Save You Hours of Pandas Work

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 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.

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Smarter AI Starts Here: Why DeepQuery Is the Next Step in GenAI Maturity

Data Virtualization

Reading Time: 4 minutes In the fast-moving world of business, getting the right answer quickly can mean the difference between seizing an opportunity and missing it altogether. We’ve recently seen a surge in the use of generative AI (GenAI) to power chatbots, streamline support, The post Smarter AI Starts Here: Why DeepQuery Is the Next Step in GenAI Maturity appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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7 RAG Applications for Computer Vision

Analytics Vidhya

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.

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Zero Trust Mandate: The Realities, Requirements and Roadmap

The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.

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AI Knowledge Bases vs. Traditional Support: Who Wins in 2025?

DataFloq

As we look toward 2025, the landscape of support systems is poised for transformative change, driven by advancements in AI and machine learning. Traditional support , often characterized by human interactions and scripted responses, is increasingly being augmented or even replaced by sophisticated AI knowledge bases. These systems not only provide instant answers but also learn and adapt from user interactions, creating a more personalized experience.

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AI, align thyself

CIO Business Intelligence

AI systems are no longer static tools. They are adaptive, goal-seeking agents increasingly embedded in high-stakes enterprise decision-making. As they evolve, so do the risks. Conventional alignment techniques like human-in-the-loop feedback, ethical principles and governance checklists offer a starting point, but they cannot ensure that AI continues to act in line with business intent over time.

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10 GitHub Repositories for Mastering Agents and MCPs

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 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.