When analyzing time series data, your main objective is to consider the period during which the data is collected and how your variable of interest changes over time. There are various libraries for time series forecasting in Python, and Darts is one...| freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
From smart cities to safer communities, Denodo is helping governments deliver on their promise to serve better, faster, and more personally.| Data Management Blog - Data Integration and Modern Data Management Articles, ...
Author(s): Aditya Gupta Originally published on Towards AI. Introduction What would be easier: teaching someone to play the guitar who has already learned the piano, or teaching someone who has never touched a musical instrument? Most of us would agree that the person with piano experience would pick up guitar much faster. They already understand concepts like reading music, rhythm, and finger coordination, which transfer easily to the new instrument. Transfer learning in artificial intellige...| Towards AI
Last Updated on September 30, 2025 by Editorial Team Author(s): Kuriko Iwai Originally published on Towards AI. A step-by-step guide to achieving continuous data integration and delivery in production ML systems Building robust Machine Learning (ML) applications demands meticulous version control for all components: code, models, and the data that powers them. Photo by Mohamed Nohassi on UnsplashThe article explores the complexities of establishing a Data CI/CD pipeline tailored for scalable ...| Towards AI
The present-day world is based on data that influences almost all decisions. Algorithms can process immense quantities of data super-fast, from customized product suggestions to predicting future success or failure. But the strength of such instruments is not such that they could substitute the richness and instinct of human comprehension. Big Data is made up… Read More »Beyond the Algorithm: The Art of Human Insight in a Data-Driven World| The Data Scientist
Every data scientist remembers the early days of Scaling Data Collection into spreadsheets, downloading reports from vendor portals, or writing one-off scrapers that mysteriously break after a few weeks. Those approaches may be enough for a pilot project, but they fall apart the moment an organization needs to deliver reliable datasets to multiple teams. The… Read More »Scaling Data Collection: From Manual Processes to Automated Pipelines| The Data Scientist
Curious about building a future-proof Data Science career? Explore the role of the right strategy and Data Science certifications in 2026.| Datafloq
We're excited to announce the release of Heroku-Streamlit, a template that makes deploying interactive data visualization applications on Heroku simpler than ever before. Streamlit is an open-source app framework built for machine learning and data science projects. This Streamlit App brings together Heroku's scalable cloud platform and Streamlit's intuitive Python-based data application framework. Whether you're a data scientist, educator, or developer, you can now spin up a cloud-based Stre...| Heroku
We're excited to introduce Heroku-Jupyter , an open-source, production-ready solution for running Jupyter Notebooks on Heroku with persistent storage, seamless deployment, and built-in security. Whether you're a data scientist, educator, or developer, you can now spin up a cloud-based Jupyter environment in minutes. Why Jupyter on Heroku? Jupyter Notebooks provide an interactive computing environment ideal for data analysis, visualization, and machine learning. However, cloud-based Jupyter de...| Heroku
Tiempo de lectura: 4minutos La entrada Big Data e inteligencia de negocios: qué es y cómo aplicarlo en empresas reales en 2025 se publicó anteriormente en Nuclio Digital School.| Nuclio Digital School
This data was originally featured in the August 27th, 2025 newsletter found here: INBOX INSIGHTS, August 27, 2025: Organizational Assessments, 2025 Hiring Demand by Industry In this week’s Data Diaries, let’s take a step back and look at the USA economy and hiring demand as it has changed year to date (apologies to our non [...]Read More... from 2025 Hiring Demand by Industry| Trust Insights Marketing Analytics Consulting
So What? Marketing Analytics and Insights Live airs every Thursday at 1 pm EST. You can watch on YouTube Live. Be sure to subscribe and follow so you never miss an episode! In this episode of So What? The Trust Insights weekly livestream, you’ll learn how to extract insights from qualitative YouTube data with AI. [...]Read More... from So What? Analyzing your YouTube data with generative AI| Trust Insights Marketing Analytics Consulting
Before I get to the main gist, I am going to talk about another site. The National Institute of Justice (NIJ) paid RTI over $10 million dollars to develop a forensic technology center of excellence…| Andrew Wheeler
Il nuovo report analizza come machine learning e AI generativa stiano trasformando la gestione del rischio di credito, tra benefici concreti, sfide aperte e prospettive di lungo periodo. Rimane forte il divario fra le aziende L'articolo Rischio di credito: perché machine learning e Gen AI sono strumenti indispensabili proviene da AI4Business.| AI4Business
I have low vision and a degree in computational and data sciences, here are my tips for introducing R programming to a low vision student.| Veroniiiica
Après ces premières semaines de rentrée, je vous souhaite la bienvenue dans ce troisième article de notre série sur le traitement du langage naturel après avoir vu les n-grams et les embeddings. Au…| enioka
Author(s): MKWriteshere Originally published on Towards AI. How Apple eliminated the need for separate visual AI systems with one tokenizer that handles all ...| towardsai.net
It turns out that AI really is doing the work. At least a growing chunk of it. Artificial intelligence is spreading through the global workforce like wildfire, dwarfing the adoption pace of the internet, with a new Anthropic report citing Gallup research that 40% of U.S. employees now use AI at work. While the field… The post As the pharma industry grapples with a talent shortfall, AI makes inroads in drug-safety workflows appeared first on Drug Discovery and Development.| Drug Discovery and Development
Is your data team constantly feeling the pressure to deliver? Do members of your team say they feel like they’re doing work meant for two people? If the answer to either or both of these questions is a resounding yes, you may feel tempted to think, “We just need more hands on deck.” However, hiring… Read more| Seattle Data Guy
For more than two decades, Charles “Chuck” Allias built his career in emergency medical services (EMS). As an educator and program director, he trained the next generation of paramedics and EMTs, designing programs that met national standards, coaching students through tough exams, and finding new ways to boost their success rates. Data was always part […] The post From Educator to Online Learner: Chuck’s Learning Journey with the Pitt MDS appeared first on Coursera Blog.| Coursera Blog
Moe Obeidat knows data. Based in the Chicago area, he works as a data analyst at a Fortune 500 company, where reporting, visualization, and SQL are part of his everyday toolkit. But like many working professionals in the field, Moe was eager to take the next step: moving from analysis into advanced roles in data […] The post Why Moe Obeidat Chose Pitt’s Online Master of Data Science appeared first on Coursera Blog.| Coursera Blog
Partners: Zach Almquist and June Yang SSEC Engineer: Anant Mittal Graduate Student Leads: Ihsan Kahveci, Emily Porter Undergraduate and Graduate Student Engineers: Arushi Agarwal, Hana Amos, Zack Crouse, Devanshi Desai, Elizabeth Deng, Kristen L. Gustafson, Finley Hutchison, Kaden Kapadia, Hannah Lam, Aryan Palave, KelliAnn Ramirez, Natalie Robbins, Hrudhai Umashankar, Jasmine Vuong, Ella Weinberg Research Goals […]| eScience Institute
Looking to learn Python for Free? Check out this article on how beginners can learn this popular programming language for free.| Flatiron School
TLDR: Numerical data comes in two main types: discrete data (counts, whole numbers, things you can list) and continuous data […] The post Discrete vs continuous data: What digital marketers need to know appeared first on ASK BOSCO®.| ASK BOSCO®
The U.K. was the center of the AI world this week as NVIDIA, U.K. and U.S. leaders announced new initiatives toward making the nation an AI superpower. NVIDIA founder and CEO Jensen Huang’s visit to the U.K. this week culminated in an NVIDIA AI ecosystem celebration today at Vision Hall in London, where he welcomed Read Article| NVIDIA Blog
This data was originally featured in the August 13th, 2025 newsletter found here: INBOX INSIGHTS, August 13, 2025: Why Soft Skills Aren’t Soft, AI and Jobs In this week’s Data Diaries, let’s explore some of the impacts of generative AI on professions. In a recent academic paper from Microsoft titled “Working with AI: Measuring the [...]Read More... from AI and Jobs| Trust Insights Marketing Analytics Consulting
So What? Marketing Analytics and Insights Live airs every Thursday at 1 pm EST. You can watch on YouTube Live. Be sure to subscribe and follow so you never miss an episode! In this episode of So What? The Trust Insights weekly livestream, you’ll learn how to extract insights from qualitative data with AI. Discover [...]Read More... from So What? How to Extract Insights from Qualitative Data With AI| Trust Insights Marketing Analytics Consulting
AI systems powering critical decisions have become prime targets for sophisticated cyberattacks exploiting machine learning vulnerabilities.| KDnuggets
Reading Time: 2minutesFrom the corridors of national intelligence to frontline emergency responders, public agencies are under constant pressure: adapt to evolving threats, comply with ever-changing laws, and safeguard mission-critical systems—all while modernizing IT infrastructure and improving citizen services. But here’s the paradox:... The post Compliance, Cyber Threats, and National Security: The Data Playbook for Resilient Government appeared first on Data Management Blog - Data In...| Data Management Blog – Data Integration and Modern Data Management Articles...
Reading Time: 2minutesThe promise of artificial intelligence in government is compelling: smarter decision-making, proactive citizen services, and lightning-fast crisis response. Yet for many agencies, AI projects stall—not because of a lack of models or ambition, but because of one fundamental obstacle: Data... The post Beyond Silos and Red Tape: How Ethical Data Sharing is Powering Trusted AI in Government appeared first on Data Management Blog - Data Integration and Modern Data Managemen...| Data Management Blog – Data Integration and Modern Data Management Articles...
A logical approach to data management can play a significant role in data repatriation by reducing the risks.| Data Management Blog - Data Integration and Modern Data Management Articles, ...
Want to stay relevant in a workplace being reshaped by AI? Here are some tips. Hint: it isn’t about doubling down on deep technical skills!| Datafloq
| Boost Labs – Digital Product Agency
A friend recently recommended The Idea Factory: Bell Labs and the Great Age of American Innovation by Jon Gertner. It is one of the best books I have read in awhile, so also want to recommend to the readers of my blog. I was vaguely familiar with Bell Labs given my interest in stats and […]| Andrew Wheeler
How I document my preferred accessibility and AT settings for software that I use in college as a student with low vision.| Veroniiiica
This data was originally featured in the August 6th, 2025 newsletter found here: INBOX INSIGHTS, August 6, 2025: T-Shaped Marketers, Dataset Validation In this week’s Data Diaries, let’s talk about dataset validation. One of the most important skills you can build in processing data is to understand correlation and pattern matching. Being able to put [...]Read More... from Dataset Validation| Trust Insights Marketing Analytics Consulting
The UC Carpentries Coding and Data Management 2025 Workshop Series, open to all University of California students, staff, and faculty, will take place online September 15-25. This nine-day workshop series is an opportunity for the University of California community to learn foundational concepts and skills in R (RStudio), Python (Jupyter Notebook), an introduction to the Unix Shell, Version Control with Git, SQL, OpenRefine, and Tidy Data. Whether you are a data novice or just looking to brus...| UC Davis Library
Your ideal customer profile starts as an aspiration about who you want to sell to. Over time, it should become a data-driven regression.| Kellblog
Biomarkers are strategic assets for biopharma companies, significantly improving the success rate of clinical trials1. Yet, discovering them often feels like navigating through a blizzard of unstructured information, searching for the one true signal that can guide the way. While laboratory automation has eased benchwork, the real storm rages in the data, obscuring access to… The post Finding signals in the storm: Automation in biomarker discovery appeared first on Drug Discovery and Deve...| Drug Discovery and Development
Neural networks, supervised learning, reinforcement learning — what are they, and how will they impact our lives? The post Deep Learning vs. Machine Learning: What’s the Difference? appeared first on Flatiron School.| Flatiron School
JavaScript, Python, C/C++ — what data science programming language should you learn if you want to become a data scientist in 2021? The post Top Programming Languages for Data Science appeared first on Flatiron School.| Flatiron School
See why HatchWorks AI partnered with Databricks to help businesses unify data, improve AI readiness, and scale smarter with a powerful data platform.| HatchWorks AI
Databricks & Generative AI: Learn how to transform data into intelligent solutions with large language models, RAG, and scalable AI workflows.| HatchWorks AI
Your AI platform sends a notification that says, “I have detected an anomaly in Market 26. Recent weather events have resulted in supply chain issues that must be addressed. I have adjusted our marketing investments and re-routed supply logistics. I will report back in 14 days with results and next steps.” Who gets this notification? The CMO? The CFO? The CEO? The board? The investors? Let's explore.| Shelly Palmer
For some housekeeping, if you are not signed up, also make sure to sign up for the RSS feed of my crime de-coder blog. I have not been cross posting here consistently. For the last few posts: Using…| Andrew Wheeler
Transform your data workflows with this comprehensive guide to building enterprise-grade automation pipelines using n8n's visual workflow platform.| KDnuggets
So What? Marketing Analytics and Insights Live airs every Thursday at 1 pm EST. You can watch on YouTube Live. Be sure to subscribe and follow so you never miss an episode! In this episode of So What? The Trust Insights weekly livestream, you’ll learn to revamp case studies with the power of generative AI. You discover [...]Read More... from So What? Summer Makeover Series: Using Generative AI to revamp case studies| Trust Insights Marketing Analytics Consulting
This data was originally featured in the June 18th, 2025 newsletter found here: INBOX INSIGHTS, June 18, 2025: When AI-First Goes Wrong Part 4, Helping AI Read Text with Markdown In this week’s Data Diaries, let’s talk about another AI data format. Previously, we talked about how to convert CSV files (tables) into JSON (written [...]Read More... from AI Data Format: Helping AI Read Text with Markdown| Trust Insights Marketing Analytics Consulting
This data was originally featured in the June 4th, 2025 newsletter found here: INBOX INSIGHTS, June 4, 2025: When AI-First Goes Wrong Part 2, Changing Data Languages In this week’s Data Diaries, let’s talk about a specific format problem with generative AI and data. Changing data languages. The most common form of generative AI is [...]Read More... from Changing Data Languages| Trust Insights Marketing Analytics Consulting
This data was originally featured in the May 21st, 2025 newsletter found here: INBOX INSIGHTS: Fear-Based Management Failures, Economic Indicators In this week’s Data Diaries, let’s pick up where we left off two weeks ago with a look at leading economic indicators. There are two kinds of economic indicators, leading and lagging. Lagging indicators tell [...]Read More... from Economic Indicators| Trust Insights Marketing Analytics Consulting
This data was originally featured in the May 14th, 2025 newsletter found here: INBOX INSIGHTS, May 14, 2025: Strengthening Your Foundation, Ethics in AI In this week’s Data Diaries, let’s talk about AI ethics. I was teaching at Harvard Business School last week, and one of the students in my guest lecture asked what I [...]Read More... from Ethics in AI| Trust Insights Marketing Analytics Consulting
This data was originally featured in the May 7th, 2025 newsletter found here: INBOX INSIGHTS, May 7, 2025: AI Integration Strategy Part 5, Sustainability in AI In this week’s Data Diaries, let’s talk about sustainability. One of the questions that keeps coming up over and over again at events like the two-day workshop I just [...]Read More... from Sustainability in AI| Trust Insights Marketing Analytics Consulting
This data was originally featured in the April 26th, 2025 newsletter found here: INBOX INSIGHTS, April 23, 2025: AI Integration Strategy Part 3, AI Data Privacy In this week’s Data Diaries, let’s talk about AI data privacy. I recently had the opportunity to speak at the Trace One User Conference in Miami, and one of [...]Read More... from AI Data Privacy| Trust Insights Marketing Analytics Consulting
INBOX INSIGHTS: AI Integration Strategy Part 5, Sustainability in AI (2025-05-07) :: View in browser 👉 Take our new course, Generative AI Use Cases for Marketers, now live! Watch This Newsletter Listen to the audio version here as an MP3. Approaching AI Integration Strategically – Part 5: Now What? Putting It All Together A marketing [...]Read More... from INBOX INSIGHTS, May 7, 2025: AI Integration Strategy Part 5, Sustainability in AI| Trust Insights Marketing Analytics Consulting
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss navigating the pressure of AI transformation and competitive parity. You’ll learn why chasing AI trends without a clear purpose can harm your business. You’ll discover how to distinguish between merely optimizing current operations and driving real innovation. You’ll understand the importance [...]Read More... from In-Ear Insights: Generative AI Transformation vs. Optimization| Trust Insights Marketing Analytics Consulting
By Kate Rich The eScience Staff Spotlight is a series featuring individual members of our team and their career journey. This week’s featured staff member is Anthony Arendt, our Director of Community Engagement Programs and Senior Data Science Fellow. Anthony knows the importance of hard earned data all too well. As a Research Professor at […]| eScience Institute
The admissions process for Flatiron School includes an assessment test. Here's insider tips on how to pass the admissions assessment. The post Insider Guide: Flatiron School’s Admissions Assessment appeared first on Flatiron School.| Flatiron School
Dr. Kari Jordan from The Carpentries talks about her “aha moment” discovering open source and how teaching Zumba helps her create more welcoming tech communities. Discover the importance of succession planning in creating contribution pathways and the power of grassroots to help keep you going, because open source work is too important to stop.| Open Source Stories
Reading Time: 4minutesImagine you’re a financial analyst at a pension fund, racing against the clock to deliver a major corporate client’s portfolio breakdown before fiscal year end. You’re juggling CRM data, financial market reports, and a tangle of Excel exports. Or picture... The post Beyond the Lakehouse: Denodo’s RAG-Driven Data Revolution appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.| Data Management Blog – Data Integration and Modern Data Management Articles...
In this post, I’ll be covering the 2024 Gartner® Critical Capabilities for Data Integration Tools report, in which Denodo was again recognized as a Leader for five years in a row.| Data Management Blog - Data Integration and Modern Data Management Articles, ...
(2 min. read)| Innovation District
Since you're probably a data person, you're probably wondering "how did you calculate that?" Unfortunately, not very efficiently! Podbean, my platform for the Experiencing Data podcast, does not provide very good analytics information, so these stats are simply based on the # of downloads in the calendar year 2024. This doesn't account for when the ... Read more The post My 10 Most Popular Podcast Episodes of 2024 (for Experiencing Data) first appeared on Designing for Analytics (Brian T. O'N...| Designing for Analytics (Brian T. O'Neill)
Rather listen to this? I also recorded a 2-part podcast episode about this. Listen to Ep. 147 Let's look beyond the “rewrite with AI” button and chatbots! Generative AI in 2024 is all the rage and for the most part, to date, I haven’t seen or heard about many great examples of these making a ... Read more The post UI/UX Design Considerations for LLMs in Enterprise Applications in 2024 first appeared on Designing for Analytics (Brian T. O'Neill).| Designing for Analytics (Brian T. O'Neill)
A simpler path to coding real-time web applications.| Towards Data Science
By Kate Rich The eScience Staff Spotlight is a series featuring individual members of our team and their career journey. This week’s featured staff member is Senior Social Scientist Anissa Tanweer. From field site to workplace, eScience has come to serve many different roles for Anissa over the years. Being a qualitative interpretivist researcher at […]| eScience Institute
Author Dawn Foster View all posts| CHAOSS
Discover the key differences between Computational Data Science and traditional Data Science. Learn how each field approaches data analysis, modeling, and real-world applications to help you choose the right path for your career or project.| Big Data Analytics News
This is a copy of a two-part post on the Optimism Governance Forum. You can find the original post here.| Open Source Observer Blog
This is a copy of a two-part post on the Optimism Governance Forum. You can find the original post here.| Open Source Observer Blog
The first (of six) periods of rewards for Season 7 Retro Funding were just announced. Here's the official post; you can view the results on OP Atlas. This marks a significant milestone in Optimism’s journey toward scalable, transparent, and data-driven token allocations.| Open Source Observer Blog
We're excited to introduce Pyoso, a new Python library that makes it easy to query and analyze open source software data and metrics from OSO. Whether you're a data scientist, researcher, or builder, Pyoso gives you direct access to all our production data sets from your favorite analysis environment.| Open Source Observer Blog
Octant is an important funding partner for OSO and dozens of other open source projects in the Ethereum ecosystem. Since 2023, Octant has contributed approximately $5 million (in ETH) to over 60 projects.| Open Source Observer Blog
OSO is partnering with Gitcoin to enhance data infrastructure and analytics capabilities on top of Grants Stack.| Open Source Observer Blog
This is the final post in our Opening up the Ballot Box series for 2024. Changes planned for Retro Funding 2025 will likely reshape how we analyze voting behavior.| Open Source Observer Blog
Optimism’s Retro Funding Round 5 (RF5) just wrapped up, with 79 projects (out of ~130 applicants) awarded a total of 8M OP for their contributions to Ethereum and the OP Stack. You can find all the official details about the round here.| Open Source Observer Blog
The voting results for Optimism's Retro Funding Round 4 (RF4) were tallied last week and shared with the community.| Open Source Observer Blog
This post is a brief exploration of the before-after impact of Optimism’s Retro Funding (RF) on open source software (OSS) projects. For context, see some of our previous work on the Optimism ecosystem and especially this one from the start of RF3 in November 2023.| Open Source Observer Blog
Voting for Optimism’s fourth round of Retroactive Public Goods Funding (“Retro Funding”) opened on June 27 and will run until July 11, 2024. You can check out the voting interface here.| Open Source Observer Blog
Filecoin’s first RetroPGF round ("FIL RetroPGF 1") concluded last week, awarding nearly 200,000 FIL to 99 (out of 106 eligible) projects.| Open Source Observer Blog
Open Source Observer is working with the Optimism Collective and its badgeholder community to develop a suite of impact metrics for assessing projects applying for Retro Funding 4.| Open Source Observer Blog
Reading Time: 8minutesNowadays, the term “RAG” is fairly well understood. Or is it? Many know that it stands for retrieval augmented generation, but recently I’ve encountered some confusion around the “R” (retrieval) aspect of RAG. I think that much of that confusion... The post The R in RAG appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.| Data Management Blog – Data Integration and Modern Data Management Articles...
We’re excited to announce that Denodo now supports Model Context Protocol (MCP). This enables our customers to build and manage multi-agent AI systems using open.| Data Management Blog - Data Integration and Modern Data Management Articles, ...
While Generative AI (GenAI) is grabbing headlines, a successful AI strategy in financial services must span the entire AI spectrum.| Data Management Blog - Data Integration and Modern Data Management Articles, ...
Easily one of the most common critiques I make when reviewing peer reviewed papers is the concept, the difference between statistically significant and not statistically significant is not itself s…| Andrew Wheeler
When Sebastian Manley completed his university degree, he was eager to take his skills to the next level, but he wasn’t sure how. Freshly graduated and seeking a path that| HyperionDev Blog
One question I often come across is how to best organize cross functional data science teams where engineers and data scientists are working closely together. Here is what I’ve seen to work well in practice.| Marginally Interesting by Mikio L. Braun
As machine learning is becoming more mainstream (well that’s already long past I guess) more and more teams who are new to ML are attempting to run data science projects. One of the most common mistakes is to think that ML is “just another library” so that people are approaching a data science project like … Continue reading Machine Learning As The Ultimate Test Driven Development→| Marginally Interesting by Mikio L. Braun
I’m re-reading Inspired by Marty Cagan lately and came across this quote: “To set your expectations, strong teams normally test many product ideas each week-on the order of 10 to 20 or more per week.” To be honest I was pretty shocked.| Marginally Interesting by Mikio L. Braun
People who ask me “how do you solve a certain project with machine learning” often expect some kind of a recipe as if they were baking a cake. I understand the expectation and often find myself try…| Marginally Interesting by Mikio L. Braun
My lesson of how blindly over-controlling for noise can erase the effects you are measuring| Towards Data Science
Discover the key characteristics of AI-ready data, the unique challenges it poses, and which industry best practices are essential.| lakeFS
An AI Factory with data versioning doesn't just run smoother. It fundamentally changes how teams interact with their data. Read more.| Git for Data - lakeFS
Have recently participated in several projects that I think went well at the day gig – these were big projects, multiple parties, and we came together and got to deployment on a shortened timeline.…| Andrew Wheeler
At Tagetik inTouch 2025, the company presented its strategic focus on integrating AI into the CPM platform while advancing core functionalities.| BARC - Data Decisions. Built on BARC.
Creating interpretable rules to characterize the identified anomalies| Towards Data Science
In this blog, you would get to know the essential mathematical topics you need to cover to become good at AI & machine learning. These topics are grouped under four core areas including linear algebra, calculus, multivariate calculus and probability theory & statistics. Linear Algebra Linear algebra is arguably the most important mathematical foundation for machine learning. At its core, machine learning is about manipulating large datasets, and linear algebra provides the tools to do this ef...| Analytics Yogi
The regex in this post, explained via Regex101 Some applications can log multiple lines per log entry. PostgreSQL is a good example, when statement logging is turned on. Here's a bare bones example with log_statement set to all: 2025-06-23 22:00:00.000 CEST [6316] LOG: statement: select *| Ian's notes
The insurance industry has a longstanding reputation for meticulous risk assessment, but the integration of artificial intelligence (AI)| Indico Data
The motivation here, prompted by a recent question Abigail Haddad had on LinkedIn: For the machines, the context is hosting a dataset of 150 million rows (in another post Abigail stated it was around 72 gigs). And you want the public to be able to make ad-hoc queries on that data. Examples where you may […]| Andrew Wheeler
I have had this thought in my head for a while – criminology research to me is almost all boring. Most of the recent advancement in academia is focused on making science more rigorous – more open methods, more experiments, stronger quasi-experimental designs. These are all good things, but to me still do not fundamentally […]| Andrew Wheeler