Notes from the team building enterprise AI.
Perspectives from the DareData team on AI systems, enterprise transformation and the engineering behind real-world deployments.
Strategy
The Ground Truth Line
Work with a right answer to check against moves to AI first. Work without one moves last. Find where that line runs in your company, and move it before your competitors do.
12 min readRead- The Ground Truth LineWork with a right answer to check against moves to AI first. Work without one moves last. Find where that line runs in your company, and move it before your competitors do.12 min readReadStrategyIvo Bernardo3 November 2026
- Information Hygiene: The Security Discipline That Matters More Than EverWhy open files and forgotten folders became a real security risk in the age of AI7 min readRead
Security
Nuno Cravino6 October 2026 - Time Series Foundation Models: What They Are and When to Use ThemWhat time series foundation models are, and when a simple baseline still wins8 min readRead
EngineeringForecasting
Manuel Oliveira30 September 2026 - What makes a good answer? Evaluating RAG systems in productionHow to evaluate RAG answers in production, and what we learned doing it12 min readRead
EngineeringGenerative AIManuel Oliveira31 August 2026 - Supply Chain Attacks in the Age of Agentic AI and Vibe CodingHow agentic AI and vibe coding make supply chain attacks spread faster15 min readRead
SecurityAgentsNuno Cravino6 April 2026 - LiteLLM Supply Chain Attack: AdvisoryWhat happened in the LiteLLM supply chain attack, and what you should do now8 min readRead
SecurityGenerative AINuno Cravino25 March 2026 - Voice ArchitecturesThe three voice agent architectures, compared on their pros and cons9 min readRead
EngineeringGenerative AI
Bruno Vaz27 February 2026 - Year in review · part 4 of 42025: Product, Consulting, and ProductionThe year our strategy met customers, production systems and real constraints3 min readRead
Company
Rui Figueiredo17 February 2026 - The Largest Challenge to Implement AI in Companies is Non-DeterminismWhy non-determinism is the biggest hurdle to getting ROI from AI in business5 min readRead
StrategyGenerative AIIvo Bernardo24 October 2025 - Factory AI: How Smart Manufacturing is Powered by AIHow AI is changing the factory floor, from maintenance to quality control5 min readRead
Use casesGenerative AIIvo Bernardo22 August 2025 - GenOS: The Platform, the Apps, the ToolkitHow to scale AI beyond the pilot stage with the right platform and tools4 min readRead
GenOSGenerative AIIvo Bernardo13 August 2025 - AI at the game table: From Foosball trash talk to Poker face readsAn AI foosball referee that talks trash and a poker bot that reads bluffs8 min readRead
EngineeringComputer vision
Tiago Mota23 July 2025 - What’s LLMOps? A quick primerLLMOps explained: managing the full lifecycle of LLM apps in production5 min readRead
EngineeringGenerative AIMLOpsIvo Bernardo9 July 2025 - DareData Use Case: Beyond Simple ChatbotsHow GenOS supports customer service with AI that goes beyond simple chatbots3 min readRead
Use casesGenerative AIAgentsIvo Bernardo2 July 2025 - DareData Use Case: E-mail ReplierHow we automated 90% of routine legal requests without losing quality3 min readRead
Use casesGenerative AIIvo Bernardo28 May 2025 - GenAI Applications - AI Sales AssistantThe AI sales assistant we built for NOS, and how it lifted sales by 12%4 min readRead
Use casesGenerative AIIvo Bernardo22 May 2025 - Keeping Purpose Alive: How Communication Systems Shape Company CultureHow our communication systems keep the company's purpose and culture alive3 min readRead
CompanyRui Figueiredo1 April 2025 - Can AI be deployed in Critical Processes? Addressing the Key ChallengesWhat it takes to deploy AI in critical processes where mistakes are costly5 min readRead
StrategyIvo Bernardo25 March 2025 - Year in review · part 3 of 42024: A Year of Structural TransformationA look back at a year of structural change and slower growth at DareData2 min readRead
CompanyRui Figueiredo15 January 2025 - The GenOS Newsletter - Is DareData Changing?What's changing at DareData and what GenOS means for our customers7 min readRead
GenOSGenerative AIIvo Bernardo20 November 2024 - How to Retain TalentHow DareData keeps its best people and why talent retention matters4 min readRead
Company
Sofia Ribeiro16 October 2024 - Tackling Technical Debt is Crucial for Long-Term SuccessWhy tackling technical debt early pays off in your data pipelines3 min readRead
StrategyRui Figueiredo20 September 2024 - Tips on How to Manage Large Scale Data Science ProjectsPractical tips for managing large-scale data science and ML projects7 min readRead
StrategyIvo Bernardo14 September 2024 - AI Agents for Customer SupportHow AI agents can transform customer support and take on repetitive work5 min readRead
Use casesAgentsIvo Bernardo20 August 2024 - Organizations’ Machine Learning Investment is (or should be) IncrementalWhy embedding ML in production works best as an incremental investment8 min readRead
StrategyMLOpsIvo Bernardo25 July 2024 - Fundamentals of Geospatial Data AnalysisHow to ask the right questions of spatial data using geographic principles7 min readRead
EngineeringGeospatial
Gustavo Fonseca17 July 2024 - PyTorch introduction · part 5 of 5PyTorch Introduction — Training a Computer Vision AlgorithmPyTorch series: how to train your first computer vision algorithm11 min readRead
EngineeringPyTorchComputer visionIvo Bernardo11 June 2024 - You need an AI Team and an AI LeadWhy having an AI team and an AI lead today is like having IT 20 years ago5 min readRead
StrategyIvo Bernardo2 April 2024 - 3 Use Cases for Generative AI AgentsThree generative AI agents we built and put into real production use5 min readRead
Use casesAgentsGenerative AIIvo Bernardo5 March 2024 - PyTorch introduction · part 4 of 5PyTorch Introduction — Using Custom DataPyTorch series: how to work with custom tabular, image and text datasets10 min readRead
EngineeringPyTorchIvo Bernardo28 February 2024 - PyTorch introduction · part 3 of 5PyTorch Introduction — Enter NonLinear FunctionsPyTorch series: how non-linear functions help solve complex problems8 min readRead
EngineeringPyTorchIvo Bernardo13 January 2024 - PyTorch introduction · part 2 of 5PyTorch Introduction — Building your First Linear ModelPyTorch series: building your first model with the Linear layer8 min readRead
EngineeringPyTorchIvo Bernardo16 December 2023 - PyTorch introduction · part 1 of 5PyTorch Introduction - The Tensor ObjectPyTorch series: getting to know tensors, the building block of the library8 min readRead
EngineeringPyTorchIvo Bernardo28 November 2023 - Why teach MLOps to your Data Science Teams?Why data scientists should learn MLOps, with an introduction to the main ideas12 min readRead
StrategyMLOps
Roberto Álvarez28 November 2023 - Tips to Build a Robust Data Lake InfrastructureHow we build robust data lake infrastructure for organizations worldwide8 min readRead
EngineeringData engineeringIvo Bernardo5 July 2023 - Why this time it may be different - Digesting Large Language Models and their implications for SocietyWhy large language models like GPT-4 will have profound implications for society9 min readRead
StrategyGenerative AIIvo Bernardo17 April 2023 - The Lean Structure StartupHow DareData was set up as a lean network of exceptional data professionals5 min readRead
CompanyRui Figueiredo28 February 2023 - Year in review · part 2 of 42023, prepare to take-offA year of strong growth, cash pressure and big plans for what comes next6 min readRead
Company
Nuno Brás6 February 2023 - Most important Data Engineering Concepts and Tools for Data ScientistsThe data engineering concepts and tools every data scientist should know7 min readRead
EngineeringData engineeringIvo Bernardo30 January 2023 - DS building blocks · part 2 of 2DS Building Blocks - Regression vs. ClassificationThe difference between regression and classification problems, explained simply10 min readRead
StrategyIvo Bernardo21 July 2022 - Good data teams / Bad data teamsThe main traits that set good data teams apart from bad ones4 min readRead
Strategy
DareData6 April 2022 - Locate your Data and Boost it with Geo-ProcessingHow to work with geographic data in Python and get more out of it9 min readRead
EngineeringGeospatialGustavo Fonseca30 March 2022 - The best AI safeguards: thoughtful human beingsWhy thoughtful humans asking "why" are the best safeguard for your AI6 min readRead
StrategyDareData18 August 2021 - Why hire brilliant when average will do?Rethinking the conventional hiring process, and why average can be enough8 min readRead
Company
Sam Hopkins13 August 2021 - DS building blocks · part 1 of 2DS Building Blocks - A quick guide on experimentation for Non-Technical UsersCorrelation vs. causation, and how to bring experiments into business decisions10 min readRead
StrategyIvo Bernardo24 May 2021 - MLOps = more moneyThe business case for investing in MLOps, explained in real money13 min readRead
StrategyMLOpsSam Hopkins1 February 2021 - Year in review · part 1 of 4DareData in 2021How DareData grew with no external investment, no debt and no hype4 min readRead
CompanyNuno Brás1 January 2021 - How to introduce Data Science at your companyHow to introduce data science at your company and win over the sceptics14 min readRead
StrategyIvo Bernardo11 September 2020 - On FMCG and Retail ForecastingThe key questions to ask when forecasting sales in FMCG and retail12 min readRead
Use casesForecastingIvo Bernardo3 July 2020 - Hiring: Data Engineers, Data ScientistsWe're hiring data engineers and data scientists to keep up with our growth5 min readRead
CompanySam Hopkins5 June 2020 - Working at DareDataWhat it's like to work at DareData and how the company is organised7 min readRead
CompanySam Hopkins5 June 2020 - Sales Forecast updating in times of COVID-19How businesses can adapt their sales forecasts in times of COVID-198 min readRead
Use casesForecastingIvo Bernardo28 May 2020 - Ghost is better than MediumWhy we think Ghost is a better blogging platform than Medium1 min readRead
EngineeringSam Hopkins27 May 2020 - Own your data - on the cloudWhy you should keep control of your data when choosing cloud and SaaS tools6 min readRead
EngineeringData engineeringSam Hopkins27 May 2020 - Free Sales ForecastsFree sales forecasts to help small businesses make better decisions4 min readRead
Use casesForecastingSam Hopkins14 April 2020 - COVID-19 Economic Recovery ModelA model of the economic recovery after COVID-19, and how to use it7 min readRead
EngineeringForecastingSam Hopkins8 April 2020 - The practical path to AIQuick AI wins that led to longer-term strategic and infrastructure work14 min readRead
StrategySam Hopkins11 March 2020 - DareData ManifestoThe DareData vision: machine learning and AI democratized worldwide4 min readRead
CompanySam Hopkins24 February 2020
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Want this team on your AI problem?
The engineers writing these posts design, build and run AI for large companies. Tell us what you want AI to do and we will show you how we would approach it.
- 01A 30-minute call with an engineer, not a sales deck
- 02A first view of how we would build it
- 03A clear next step, or an honest no