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  • 2025-05-27 DevOps Best Practices for Automated AWS Infrastructure Management
  • 2025-04-30 SQLMesh vs dbt Core: Is a New Challenger Emerging in Analytics Engineering?
  • 2025-04-17 Key Insights from AWS Summit 2025: What Stuck with Us (and Why)
  • 2025-03-25 GenAI Is Taking Over the Modern Data Stack - Starting with dbt Copilot
  • 2025-03-17 #technoshare summary - week 11
  • 2025-03-10 #technoshare summary - week 10
  • 2025-03-03 #technoshare summary - week 9
  • 2025-02-26 Why Microsoft Copilot Adoption Fails (and How to Fix It)
  • 2025-02-24 #technoshare summary - week 8
  • 2025-02-17 DevOps in Power BI/Fabric: Why It Matters for Your Business
  • 2025-02-17 #technoshare summary - week 7
  • 2025-02-10 #technoshare summary - week 6
  • 2025-02-03 #technoshare summary - week 5
  • 2025-01-27 #technoshare summary - week 4
  • 2025-01-20 #technoshare summary - week 3
  • 2025-01-13 #technoshare summary - week 2
  • 2025-01-06 #technoshare summary - week 1
  • 2024-12-30 #technoshare summary - week 52
  • 2024-12-23 #technoshare summary - week 51
  • 2024-12-02 #technoshare summary - week 48
  • 2024-11-25 #technoshare summary - week 47
  • 2024-11-21 Podcast Ep: #69 From Engineer to CEO: Alex Gallego on Building Red Panda
  • 2024-11-18 #technoshare summary - week 46
  • 2024-11-14 Podcast Ep: #68 GenAI meets Minecraft, OpenAI’s O1 Leak, Strava’s AI Moves, HTMX vs. React & Octoverse Trends
  • 2024-11-11 #technoshare summary - week 45
  • 2024-11-07 Podcast Ep: #67 The AI Race: ChatGPT's New Web Search, Meta’s Llama AI Scaling Efforts & Python 3.13's Upgrades
  • 2024-11-04 Inside the Roots Academy: The Launchpad for New Data Talent
  • 2024-11-04 #technoshare summary - week 44
  • 2024-10-31 Podcast Ep: #66 From Will Smith to Meta's MovieGen: How AI Video Got Real. Plus Claude 3.5’s “Computer Use” & Open Source Tools
  • 2024-10-28 #technoshare summary - week 43
  • 2024-10-25 Podcast Ep: Altair, AI, and the Art of Data Storytelling: A Deep Dive with Angelica Lo Duca
  • 2024-10-21 #technoshare summary - week 42
  • 2024-10-17 Podcast Ep: #64 Python WTF moments, Rust rants & Quantum flops
  • 2024-10-14 #technoshare summary - week 41
  • 2024-10-08 Podcast Ep: #63 What’s Next for Open Source? Astral’s business model, WordPress, Deno 2.0 & One Year of DataTopics!
  • 2024-10-07 #technoshare summary - week 40
  • 2024-09-30 #technoshare summary - week 39
  • 2024-09-26 Podcast Ep: #62 The End of Pandas, Rise of Ibis: AI, Function Calling, & Python’s New Tools
  • 2024-09-23 #technoshare summary - week 38
  • 2024-09-19 Podcast Ep: AI is Officially Smarter Than Humans: First Look at OpenAI O1 'Strawberry'
  • 2024-09-16 #technoshare summary - week 37
  • 2024-09-09 #technoshare summary - week 36
  • 2024-09-02 #technoshare summary - week 35
  • 2024-08-26 #technoshare summary - week 34
  • 2024-08-19 #technoshare summary - week 33
  • 2024-08-14 Innovation Takes the Wheel: Smart Solutions for Urban Management
  • 2024-08-12 #technoshare summary - week 32
  • 2024-08-08 Podcast Ep: #60 AI and the Paris 2024 Olympics: From Tech to Yusuf Dikec Memes
  • 2024-08-05 #technoshare summary - week 31
  • 2024-07-29 #technoshare summary - week 30
  • 2024-07-25 Introducing PaliGemma: A Vision Language Model for the Future
  • 2024-07-22 #technoshare summary - week 29
  • 2024-07-18 Podcast Ep: #59 Did AI Accurately Predict the Euro 2024 Winners?
  • 2024-07-16 Data 4 Green: Data Insights for Sustainable Manufacturing
  • 2024-07-15 #technoshare summary - week 28
  • 2024-07-12 Podcast Ep: Maximizing Productivity: Bookmarklets, Q Command-Line, RouteLLM, and DuckDB Extensions
  • 2024-07-08 #technoshare summary - week 27
  • 2024-07-04 Podcast Ep: #57 Can the Music Industry Win the Battle Against AI?
  • 2024-07-01 #technoshare summary - week 26
  • 2024-06-27 Podcast Ep: #56 What Skills Do You Need to Become an AI Engineer?
  • 2024-06-24 #technoshare summary - week 25
  • 2024-06-21 Podcast Ep: #55 Can AI Predict Euro 2024 Winners?
  • 2024-06-17 #technoshare summary - week 24
  • 2024-06-13 Podcast Ep: #54 Is Apple Intelligence...Intelligent?
  • 2024-06-10 #technoshare summary - week 23
  • 2024-06-06 Podcast Ep: #53 Can AI Replace Human Creativity?
  • 2024-06-03 #technoshare summary - week 22
  • 2024-05-31 Can Modern BI Democratize Data Analytics?
  • 2024-05-29 Podcast Ep: #52 Can AI-Generated Voices Fool Us? Insights from 'De Mol' TV Show
  • 2024-05-27 #technoshare summary - week 21
  • 2024-05-24 State of Data Quality Tools 2024 Q1
  • 2024-05-22 Podcast Ep: #51 Is Data Science a Lonely Profession?
  • 2024-05-21 Disguising the real voice of De Mol among fakes
  • 2024-05-20 #technoshare summary - week 20
  • 2024-05-15 Podcast Ep: #50 Where Will ChatGPT-4o Take Us? Exploring AI's Future & Latest Updates
  • 2024-05-13 #technoshare summary - week 19
  • 2024-05-08 Podcast Ep: #49 How Will the EU AI Act Affect the Future of AI?
  • 2024-05-06 #technoshare summary - week 18
  • 2024-05-02 Podcast Ep: #48 How Can We Define DevRel in the Tech World? Tech Insights with Mehdi Ouazza
  • 2024-04-29 #technoshare summary - week 17
  • 2024-04-29 Orchestrating data quality with Soda, Motherduck and Prefect.
  • 2024-04-24 Podcast Ep: #47 MLFlow Mastery, Llama 3 Unleashed, and the OpenTofu vs. Terraform Drama
  • 2024-04-22 Creating a Fabric integration for Soda and checking data quality
  • 2024-04-17 Podcast Ep: #46 Debunking Devon, Exploring RAG Frameworks, and Tech for a Better World
  • 2024-04-16 #technoshare summary - week 15
  • 2024-04-12 Podcast Ep: #45 Tech Check: Amazon's AI, Rust vs. Go vs. C++ and the Intricacies of AI in Coding
  • 2024-04-08 Podcast Ep: #44 Unpacking Open Source: A Look at GX, Monetization, Ruff's Controversy, the xz Hack & more
  • 2024-04-08 #technoshare summary - week 14
  • 2024-04-01 Podcast Ep: The Privacy Paradox - The Tug of War Between Data Privacy and Safety
  • 2024-03-27 #technoshare summary - week 12
  • 2024-03-25 Podcast Ep: #42 Unraveling the Fabric of Data: Microsoft's Ecosystem and Beyond
  • 2024-03-21 1 hour-long video Q&A is now possible
  • 2024-03-18 Podcast Ep: #41 Regulations, Rust, and Rights: Navigating EU AI Regulations, Memory Safety, and Digital Contracts
  • 2024-03-18 #technoshare summary - week 11
  • 2024-03-11 #40 Code, Comedy, and Creativity: Navigating the Digital Data Tapestry
  • 2024-03-11 #technoshare summary - week 10
  • 2024-03-05 #technoshare summary - week 9
  • 2024-03-04 #39 Microsoft, Musk, and Extremely Fast Image Gen using SDXL Lightning
  • 2024-02-26 #technoshare summary - week 8
  • 2024-02-23 #38 Open Source AI, SQL Dialects, and New Terminals
  • 2024-02-21 Decoding Mamba's Potential: Strengths, Weaknesses, and Where It Shines
  • 2024-02-19 #technoshare summary - week 7
  • 2024-02-19 #37 Text2Video with Sora and Blazing-Fast Python Packaging
  • 2024-02-13 Developing user-focused BI dashboards for business adoption (part 2)
  • 2024-02-12 #technoshare summary - week 6
  • 2024-02-12 #36 Altman's Chips, Mojo Gets Fast and TUIs
  • 2024-02-06 #35 Mamba to Challenge the Transformer Architecture?
  • 2024-02-05 #technoshare summary - week 5
  • 2024-01-29 #34 Thoughts on Sports, Data & AI
  • 2024-01-29 #technoshare summary - week 4
  • 2024-01-26 Developing user-focused BI dashboards for business adoption (part 1)
  • 2024-01-22 #technoshare summary - week 3
  • 2024-01-22 #33 Everything is Technical Debt
  • 2024-01-15 #32 NY Times sues OpenAI and Rabbit R1s LAM Device
  • 2024-01-09 #technoshare summary - week 1
  • 2024-01-01 Insights from RootsConf: AI's Socio-Historical Impact & BI Advancements (pt 2/2)
  • 2023-12-23 DataTopics: Data Roles & MistralAI
  • 2023-12-20 Dataroots x Soda: Partnership Announcement
  • 2023-12-19 Insights from RootsConf: Voice Cloning, Data Solutions & Dashboards (pt 1/2)
  • 2023-12-19 Celebrating RootsConf's Fifth Anniversary
  • 2023-12-18 #technoshare summary - week 50
  • 2023-12-11 LLM Updates and Sports Illustrated's Authorial Escapades
  • 2023-12-11 #technoshare summary - week 49
  • 2023-12-06 Tracking Carbon Emission During MLOps
  • 2023-12-06 Insights from PyData: Effortless MLOps with dbt Python models
  • 2023-12-05 Make AI generated Christmas cards in seconds
  • 2023-12-04 #technoshare summary - week 48
  • 2023-11-28 We're sponsoring PyLadiesConf
  • 2023-11-27 #technoshare summary - week 47
  • 2023-11-27 An (Almost) Cyber Week Deal of the Century & Data-Driven Basetball
  • 2023-11-20 #technoshare summary - week 46
  • 2023-11-20 🆕 DataTopics - Unplugged: Data Quality, Contracts and 100 Year Old Hares
  • 2023-11-10 State of Data Quality - November 2023
  • 2023-11-09 Fabric: Lakehouse or Data Warehouse?
  • 2023-10-19 Is Microsoft Fabric just a rebranding?
  • 2023-10-05 Our highlights from Big Data London
  • 2023-09-28 Fabric end-to-end use case: Analytics Engineering part 2 - Reports
  • 2023-09-25 An Azure infrastructure to run Great Expectations on a Notion database
  • 2023-09-21 Fabric end-to-end use case: Analytics Engineering part 1 - dbt with the Lakehouse
  • 2023-09-18 Data Quality and Governance in Google Cloud: Data Catalog vs Dataplex
  • 2023-09-14 Fabric end-to-end use case: Data Engineering part 2 - Pipelines
  • 2023-09-11 Building Data Mesh Architectures with Dataflow on Google Cloud
  • 2023-09-07 Fabric end-to-end use case: Data Engineering part 1 - Spark and Pandas in Notebooks
  • 2023-09-04 Data Warehousing Made Easy: Leveraging Google BigQuery for Seamless Analytics
  • 2023-08-31 Fabric end-to-end use case: overview & architecture
  • 2023-08-28 Best Practices for Selecting a Database on Google Cloud Platform
  • 2023-08-24 Let Fabric teach you how to code with Data Wrangler
  • 2023-08-21 Best Practices for Data Engineering on Google Cloud Platforms
  • 2023-08-17 How to use service principal authentication to access Microsoft Fabric's OneLake
  • 2023-08-17 Enhancing Data Consistency in AI-powered Q&A Systems
  • 2023-08-14 How to use Whisper, Open AI and ChatGPT to improve inclusivity with an intelligent voice assistant in the On Wheels app
  • 2023-08-10 A closer look at Microsoft Fabric pricing, billing, and autoscaling
  • 2023-08-07 Recovering the ink of Herculaneum using neural networks
  • 2023-08-03 Migrating Azure Synapse Dedicated SQL to Microsoft Fabric
  • 2023-08-02 Evaluating large language model applications with LLM-augmented feedback
  • 2023-07-31 Transforming Tabular Data in Python
  • 2023-07-27 Connect to Fabric Lakehouses & Warehouses from Python code
  • 2023-07-24 PySpark, Dask or Ray, how to scale your python workloads?
  • 2023-07-20 Preparing a migration to Microsoft Fabric: from Azure Synapse Serverless SQL
  • 2023-07-18 Comprehensive analytics engineering offering to enhance speed-to-insight
  • 2023-07-17 Data Spaces: Unlocking the Power of Connected Information
  • 2023-07-13 Microsoft Fabric's Auto Discovery: a closer look
  • 2023-07-10 How to win your first Kaggle competition?
  • 2023-07-06 Exploring OneLake with Microsoft Azure Storage Explorer
  • 2023-07-02 Data preparation for a Q&A application powered by LLMs
  • 2023-06-29 6 x 6 ways to engage with your data community
  • 2023-06-26 Fine-tuning BERT for an unbalanced multi-class classification problem
  • 2023-06-22 Herding the flock with MotherDuck: your next data warehouse?
  • 2023-06-21 Introducing a prototype LLM API Starter Kit
  • 2023-06-19 Streamlining Data Exploration: A Comparison of Profiling Tools for Effective EDA
  • 2023-06-15 Welcome to the 3rd generation: SQL in Microsoft Fabric
  • 2023-06-12 Kickstart your next Python project 🚀
  • 2023-06-08 The Power of AI in Songwriting: Creating a Sensational Hit for Niels Destadsbader
  • 2023-06-05 Managing Federated Learning Infrastructure with Terraform and Azure
  • 2023-06-01 Artificial General Intelligence: The Quest for an ultimate invention - Experts opinion
  • 2023-05-29 How Open is Open Data?
  • 2023-05-29 LLMOps, GenerativeOps or AgentOps? Distinguishing the challenges in contemporary LLMOps
  • 2023-05-22 From MLOps to LLMOps - what's the difference?
  • 2023-05-22 Applying a MLOps approach to Federated learning using ML Flow with NV Flare: A Healthcare use case
  • 2023-05-17 From Pandora's Box to the Genie's Lamp: Overcoming Challenges in Enterprise Adoption of Large-Language Models
  • 2023-05-16 Was the weather beginning of May 2023 normal? Let's visualize the data
  • 2023-05-08 Cloud-native framework for federated learning, designed with privacy and security at its core
  • 2023-05-02 What is data circularity, and why should you care?
  • 2023-04-18 From doodle to bedazzled - with generative AI
  • 2023-04-14 GPT4 - Unlocking the power of multimodal learning: overcoming challenges and harnessing opportunities
  • 2023-04-03 Using Twitter to predict Covid infections in Belgium
  • 2023-03-27 SOS - RuntimeError: CUDA Out of memory
  • 2023-03-20 A gentle introduction to blockchain
  • 2023-03-06 Quantitatively measuring speech quality and training a text-to-speech model for Flemish Dutch
  • 2023-02-27 Is edge computing just a buzzword?
  • 2023-02-19 Changepoint detection with Prophet
  • 2023-02-05 Song of the Machines (4): Digital Music Production
  • 2023-01-22 Anomaly detection in images using PatchCore
  • 2023-01-15 Rootsacademy project: Fixing a slow AWS Lambda function
  • 2023-01-10 Running Power
  • 2022-12-22 Create your own Christmas miracle with AI generated art
  • 2022-12-18 Setting up AWS Infrastructure Using Terraform for Beginners
  • 2022-12-11 Song of the machines (3) : Generating lyrics with musical context.
  • 2022-12-04 Tokyo Drift : detecting drift in images with NannyML and Whylogs
  • 2022-11-23 Is the role of Chief Data Officer still hot or not?
  • 2022-11-10 Real-Time Voice Cloning - tutorial
  • 2022-10-27 Hyper parameter tuning with Optuna - tutorial
  • 2022-10-13 MLOps - tutorial
  • 2022-10-10 Songs of the machines (2) - Harmonisation
  • 2022-10-03 Snowflake + Snowpark Python = machine learning?
  • 2022-09-29 Face Mask Detection - tutorial
  • 2022-09-26 AI a catalyst for innovation
  • 2022-09-18 The imagery revolution and how to create a logo with DALL-E
  • 2022-09-15 Great Expectations - tutorial
  • 2022-09-12 The price of healthy eating
  • 2022-09-08 Tremplin IA by Digital Wallonia
  • 2022-09-05 Our most popular posts - looking back
  • 2022-08-29 Statistics Saga 2: Dimensionality Reduction
  • 2022-08-22 Network analysis and community detection using Gephi
  • 2022-08-08 To be sentient or not to be sentient?
  • 2022-08-08 Keep posted on our events!
  • 2022-08-01 Federated Learning - a tour of the problem, challenges and opportunities
  • 2022-07-25 Next best action recommendation - part 3: recommending actions using reinforcement learning
  • 2022-07-25 Leaning in for HuggingFace Spaces
  • 2022-07-18 Terraforming Snowflake ❄️
  • 2022-07-04 Terraform with Azure became even more awesome: filling the gaps in your code with the azapi provider
  • 2022-06-30 Song of the Machines (1): Sampling musical sections
  • 2022-06-27 Weather Nowcasting - Model compression
  • 2022-06-21 🍔 Burgers & Drinks - Get to know Dataroots!
  • 2022-06-20 The Great Industry - Heurisko - take aways
  • 2022-06-13 Home design: how AI helps you customize your furniture
  • 2022-06-09 Some interesting takeaways from this year's Techorama
  • 2022-06-06 Weather Nowcasting - deploying a model on edge
  • 2022-06-02 Arty Farty - AI Song Contest 2021
  • 2022-05-29 How to develop a business-driven data strategy
  • 2022-05-23 A gentle introduction to Geometric Deep Learning
  • 2022-05-16 Recipe for a Data Burger
  • 2022-05-12 Arty Farty - AI Song Contest 2020
  • 2022-05-09 Next best action recommendation - part 2: causal inference techniques
  • 2022-05-02 Statistics Saga 1: Matrix Factorization
  • 2022-04-25 Trends in statistical visualisation
  • 2022-04-11 Next best action recommendation - part 1: measuring the effect of a campaign
  • 2022-04-11 Non-existent quotes by GPT-3
  • 2022-04-04 What is architecture?
  • 2022-03-28 Is AI an eco disaster?
  • 2022-03-21 Open source alert: Rootsstyle
  • 2022-03-21 A light introduction to transformers for NLP
  • 2022-03-16 Marketing strategy - How to go beyond propensity models
  • 2022-03-09 Internships
  • 2022-03-08 How to make AI fair and influence data science projects.
  • 2022-02-28 Deep learning model compression
  • 2022-02-25 Gender Equality at the Olympics
  • 2022-02-23 What the Duck?!
  • 2022-02-20 The explainable AI boom: Why is XAI important? And why now?
  • 2022-02-14 Marriage problem - a matching theory story
  • 2022-02-06 Data Quality for Notion Databases 🚀
  • 2022-02-04 Trends in XAI tools & research at NeurIPS 2021
  • 2022-02-02 Data science and notebooks = databooks: a love story
  • 2022-01-30 What we are excited about for 2022!
  • 2022-01-28 Publication Alert: Tim Leers
  • 2022-01-27 DataTrends 2022
  • 2022-01-24 Open Source is at the heart of the way we work
  • 2022-01-17 AI applications in the financial technology sector
  • 2022-01-16 cheek: a KISS job scheduler
  • 2022-01-12 Databooks: supercharging notebook collaboration
  • 2022-01-12 2021: Our Year in Sports
  • 2022-01-10 Data stories
  • 2022-01-03 Next Generation Bike Fitting
  • 2021-12-12 Reinforcement learning is more and more relevant for the industry!
  • 2021-12-06 Own your metadata with metadata hubs
  • 2021-11-28 Great_expectations: writing custom expectations
  • 2021-11-22 Machine Learning Explainability - an Introduction to Cracking open the black box
  • 2021-11-15 EU regulations for AI
  • 2021-10-24 Customer churn in the utilities sector
  • 2021-10-05 MLOPs Tips and Tricks
  • 2021-09-28 Hyperparameter Optimization Fun
  • 2021-09-21 Pointers on data quality
  • 2021-09-17 AI Maturity Curve
  • 2020-06-17 Focusing on people is essential for growing tech companies
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