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<title>Information Hygiene: The Security Discipline That Matters More Than Ever</title>
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<pubDate>Tue, 06 Oct 2026 00:00:00 GMT</pubDate>
<description>Why open files and forgotten folders became a real security risk in the age of AI</description>
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<title>Time Series Foundation Models: What They Are and When to Use Them</title>
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<pubDate>Wed, 30 Sep 2026 00:00:00 GMT</pubDate>
<description>What time series foundation models are, and when a simple baseline still wins</description>
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<title>What makes a good answer? Evaluating RAG systems in production</title>
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<pubDate>Mon, 31 Aug 2026 00:00:00 GMT</pubDate>
<description>How to evaluate RAG answers in production, and what we learned doing it</description>
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<title>Supply Chain Attacks in the Age of Agentic AI and Vibe Coding</title>
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<pubDate>Mon, 06 Apr 2026 00:00:00 GMT</pubDate>
<description>How agentic AI and vibe coding make supply chain attacks spread faster</description>
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<title>LiteLLM Supply Chain Attack: Advisory</title>
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<pubDate>Wed, 25 Mar 2026 00:00:00 GMT</pubDate>
<description>What happened in the LiteLLM supply chain attack, and what you should do now</description>
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<title>Voice Architectures</title>
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<pubDate>Fri, 27 Feb 2026 18:20:12 GMT</pubDate>
<description>The three voice agent architectures, compared on their pros and cons</description>
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<title>2025: Product, Consulting, and Production</title>
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<pubDate>Tue, 17 Feb 2026 22:27:50 GMT</pubDate>
<description>The year our strategy met customers, production systems and real constraints</description>
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<title>The Largest Challenge to Implement AI in Companies is Non-Determinism</title>
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<pubDate>Fri, 24 Oct 2025 19:09:02 GMT</pubDate>
<description>Why non-determinism is the biggest hurdle to getting ROI from AI in business</description>
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<title>Factory AI: How Smart Manufacturing is Powered by AI</title>
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<pubDate>Fri, 22 Aug 2025 16:27:24 GMT</pubDate>
<description>How AI is changing the factory floor, from maintenance to quality control</description>
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<title>GenOS: The Platform, the Apps, the Toolkit</title>
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<pubDate>Wed, 13 Aug 2025 08:49:47 GMT</pubDate>
<description>How to scale AI beyond the pilot stage with the right platform and tools</description>
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<title>AI at the game table: From Foosball trash talk to Poker face reads</title>
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<pubDate>Wed, 23 Jul 2025 13:32:10 GMT</pubDate>
<description>An AI foosball referee that talks trash and a poker bot that reads bluffs</description>
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<title>What’s LLMOps? A quick primer</title>
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<pubDate>Wed, 09 Jul 2025 14:13:19 GMT</pubDate>
<description>LLMOps explained: managing the full lifecycle of LLM apps in production</description>
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<title>DareData Use Case: Beyond Simple Chatbots</title>
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<pubDate>Wed, 02 Jul 2025 12:45:38 GMT</pubDate>
<description>How GenOS supports customer service with AI that goes beyond simple chatbots</description>
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<title>DareData Use Case: E-mail Replier</title>
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<pubDate>Wed, 28 May 2025 21:29:39 GMT</pubDate>
<description>How we automated 90% of routine legal requests without losing quality</description>
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<title>GenAI Applications - AI Sales Assistant</title>
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<pubDate>Thu, 22 May 2025 14:22:30 GMT</pubDate>
<description>The AI sales assistant we built for NOS, and how it lifted sales by 12%</description>
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<title>Keeping Purpose Alive: How Communication Systems Shape Company Culture</title>
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<pubDate>Tue, 01 Apr 2025 09:16:00 GMT</pubDate>
<description>How our communication systems keep the company's purpose and culture alive</description>
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<title>Can AI be deployed in Critical Processes? Addressing the Key Challenges</title>
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<pubDate>Tue, 25 Mar 2025 16:45:29 GMT</pubDate>
<description>What it takes to deploy AI in critical processes where mistakes are costly</description>
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<title>2024: A Year of Structural Transformation</title>
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<pubDate>Wed, 15 Jan 2025 09:28:38 GMT</pubDate>
<description>A look back at a year of structural change and slower growth at DareData</description>
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<title>The GenOS Newsletter - Is DareData Changing?</title>
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<pubDate>Wed, 20 Nov 2024 09:04:58 GMT</pubDate>
<description>What's changing at DareData and what GenOS means for our customers</description>
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<title>How to Retain Talent</title>
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<pubDate>Wed, 16 Oct 2024 15:00:00 GMT</pubDate>
<description>How DareData keeps its best people and why talent retention matters</description>
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<title>Tackling Technical Debt is Crucial for Long-Term Success</title>
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<pubDate>Fri, 20 Sep 2024 18:16:32 GMT</pubDate>
<description>Why tackling technical debt early pays off in your data pipelines</description>
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<title>Tips on How to Manage Large Scale Data Science Projects</title>
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<pubDate>Sat, 14 Sep 2024 14:15:29 GMT</pubDate>
<description>Practical tips for managing large-scale data science and ML projects</description>
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<title>AI Agents for Customer Support</title>
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<pubDate>Tue, 20 Aug 2024 13:07:38 GMT</pubDate>
<description>How AI agents can transform customer support and take on repetitive work</description>
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<title>Organizations’ Machine Learning Investment is (or should be) Incremental</title>
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<pubDate>Thu, 25 Jul 2024 08:02:35 GMT</pubDate>
<description>Why embedding ML in production works best as an incremental investment</description>
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<title>Fundamentals of Geospatial Data Analysis</title>
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<pubDate>Wed, 17 Jul 2024 08:38:25 GMT</pubDate>
<description>How to ask the right questions of spatial data using geographic principles</description>
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<title>PyTorch Introduction — Training a Computer Vision Algorithm</title>
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<pubDate>Tue, 11 Jun 2024 20:47:31 GMT</pubDate>
<description>PyTorch series: how to train your first computer vision algorithm</description>
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<title>You need an AI Team and an AI Lead</title>
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<pubDate>Tue, 02 Apr 2024 12:29:27 GMT</pubDate>
<description>Why having an AI team and an AI lead today is like having IT 20 years ago</description>
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<title>3 Use Cases for Generative AI Agents</title>
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<pubDate>Tue, 05 Mar 2024 14:56:17 GMT</pubDate>
<description>Three generative AI agents we built and put into real production use</description>
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<title>PyTorch Introduction — Using Custom Data</title>
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<pubDate>Wed, 28 Feb 2024 21:56:16 GMT</pubDate>
<description>PyTorch series: how to work with custom tabular, image and text datasets</description>
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<title>PyTorch Introduction — Enter NonLinear Functions</title>
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<pubDate>Sat, 13 Jan 2024 11:48:48 GMT</pubDate>
<description>PyTorch series: how non-linear functions help solve complex problems</description>
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<title>PyTorch Introduction — Building your First Linear Model</title>
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<pubDate>Sat, 16 Dec 2023 15:12:34 GMT</pubDate>
<description>PyTorch series: building your first model with the Linear layer</description>
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<title>PyTorch Introduction - The Tensor Object</title>
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<pubDate>Tue, 28 Nov 2023 19:57:19 GMT</pubDate>
<description>PyTorch series: getting to know tensors, the building block of the library</description>
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<title>Why teach MLOps to your Data Science Teams?</title>
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<pubDate>Tue, 28 Nov 2023 13:34:27 GMT</pubDate>
<description>Why data scientists should learn MLOps, with an introduction to the main ideas</description>
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<title>Tips to Build a Robust Data Lake Infrastructure</title>
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<pubDate>Wed, 05 Jul 2023 16:45:17 GMT</pubDate>
<description>How we build robust data lake infrastructure for organizations worldwide</description>
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<title>Why this time it may be different - Digesting Large Language Models and their implications for Society</title>
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<pubDate>Mon, 17 Apr 2023 08:35:22 GMT</pubDate>
<description>Why large language models like GPT-4 will have profound implications for society</description>
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<title>The Lean Structure Startup</title>
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<pubDate>Tue, 28 Feb 2023 14:11:46 GMT</pubDate>
<description>How DareData was set up as a lean network of exceptional data professionals</description>
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<title>2023, prepare to take-off</title>
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<pubDate>Mon, 06 Feb 2023 09:42:12 GMT</pubDate>
<description>A year of strong growth, cash pressure and big plans for what comes next</description>
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<title>Most important Data Engineering Concepts and Tools for Data Scientists</title>
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<pubDate>Mon, 30 Jan 2023 19:18:32 GMT</pubDate>
<description>The data engineering concepts and tools every data scientist should know</description>
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<title>DS Building Blocks - Regression vs. Classification</title>
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<pubDate>Thu, 21 Jul 2022 09:46:58 GMT</pubDate>
<description>The difference between regression and classification problems, explained simply</description>
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<title>Good data teams / Bad data teams</title>
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<pubDate>Wed, 06 Apr 2022 15:51:00 GMT</pubDate>
<description>The main traits that set good data teams apart from bad ones</description>
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<title>Locate your Data and Boost it with Geo-Processing</title>
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<pubDate>Wed, 30 Mar 2022 13:26:33 GMT</pubDate>
<description>How to work with geographic data in Python and get more out of it</description>
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<title>The best AI safeguards: thoughtful human beings</title>
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<pubDate>Wed, 18 Aug 2021 08:46:07 GMT</pubDate>
<description>Why thoughtful humans asking &quot;why&quot; are the best safeguard for your AI</description>
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<title>Why hire brilliant when average will do?</title>
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<pubDate>Fri, 13 Aug 2021 09:46:56 GMT</pubDate>
<description>Rethinking the conventional hiring process, and why average can be enough</description>
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<title>DS Building Blocks - A quick guide on experimentation for Non-Technical Users</title>
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<pubDate>Mon, 24 May 2021 09:53:19 GMT</pubDate>
<description>Correlation vs. causation, and how to bring experiments into business decisions</description>
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<title>MLOps = more money</title>
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<pubDate>Mon, 01 Feb 2021 11:33:14 GMT</pubDate>
<description>The business case for investing in MLOps, explained in real money</description>
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<title>DareData in 2021</title>
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<pubDate>Fri, 01 Jan 2021 19:22:32 GMT</pubDate>
<description>How DareData grew with no external investment, no debt and no hype</description>
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<title>How to introduce Data Science at your company</title>
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<pubDate>Fri, 11 Sep 2020 15:36:41 GMT</pubDate>
<description>How to introduce data science at your company and win over the sceptics</description>
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<title>On FMCG and Retail Forecasting</title>
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<pubDate>Fri, 03 Jul 2020 12:30:36 GMT</pubDate>
<description>The key questions to ask when forecasting sales in FMCG and retail</description>
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<title>Hiring: Data Engineers, Data Scientists</title>
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<pubDate>Fri, 05 Jun 2020 12:06:32 GMT</pubDate>
<description>We're hiring data engineers and data scientists to keep up with our growth</description>
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<title>Working at DareData</title>
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<pubDate>Fri, 05 Jun 2020 10:22:49 GMT</pubDate>
<description>What it's like to work at DareData and how the company is organised</description>
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