These beginner-friendly projects guide you through the full data science workflow so you can learn by building and experimenting.| KDnuggets
This data was originally featured in our October 8th, 2025 newsletter here:INBOX INSIGHTS, October 8, 2025: Lost the Plot on Planning, AI For Data Analysis, Part 1 In this week’s Data Diaries, let’s talk about using AI intelligently with data analysis. We’ve shared many times, including on last week’s livestream, about how tools like Google [...]Read More... from AI for Data Analysis Part 1| Trust Insights Marketing Analytics Consulting
This post was originally featured in the October 1st, 2025 newsletter found here: INBOX INSIGHTS, October 1, 2025: AI Data Quality, Dealing With Information Overload Why Your Annual Plans Are Only as Good as Your Data I’ll never forget the planning meeting where everything fell apart. (Ok, so not just one meeting, but stay with [...]Read More... from AI Data Quality| Trust Insights Marketing Analytics Consulting
Hands-on PyTorch: Building a 3-layer neural network for multiple regression The post PyTorch Tutorial for Beginners: Build a Multiple Regression Model from Scratch appeared first on Towards Data Science.| Towards Data Science
LLMs are a seamless way to find value in your unstructured data, but the truth is, there is so much more value hidden within your structured data. This post explores what LLMs are (and aren’t) optimized for and how the industry is approaching AI over structured business datasets – including one approach developed by my team and me. The post Why LLMs Aren’t a One-Size-Fits-All Solution for Enterprises appeared first on Towards Data Science.| Towards Data Science
The search giant fires its latest salvo against traditional RAG processing.| Towards Data Science
Introduction Customer support used to sit in the background. It solved problems after they happened and focused on speed, not quality. The goal was to close tickets, not to build relationships. That approach no longer fits how people expect to be served. Customers now want... The post Custom AI Chatbot Development: Transforming Customer Support in 2025 appeared first on Boston Institute of Analytics.| Boston Institute of Analytics
Why you should not explain your time-series data with tabular Shapley methods| Towards Data Science
Learn how to initialize dataframes from dictionaries, lists, and NumPy arrays The post The Absolute Beginner’s Guide to Pandas DataFrames appeared first on Towards Data Science.| Towards Data Science
Learn how to take a manual process and optimize it using AI The post How to Automate Workflows with AI appeared first on Towards Data Science.| Towards Data Science
Janna Lipenkova on AI strategy, AI products, and how domain knowledge can change the entire shape of an AI solution. The post “The success of an AI product depends on how intuitively users can interact with its capabilities” appeared first on Towards Data Science.| Towards Data Science
Why data-driven stories remain an evergreen tool for practitioners The post TDS Newsletter: How Compelling Data Stories Lead to Better Business Decisions appeared first on Towards Data Science.| Towards Data Science
No more is the changeover from batch processing to real-time data integration a thing of the future; to be precise, it is the main operating model for today’s companies. The speedy week of November 7th to 13th, 2025, witnessed the industry experiencing a most remarkable... The post Industry Momentum: How Companies Accelerated Real-Time Data Integration This Week (7th Nov – 13th Nov 2025) appeared first on Boston Institute of Analytics.| Boston Institute of Analytics
If you are looking for an exciting career with great pay and job security, a data science job is an excellent choice. The hard-to-find combination of skills—in computer science, math and statistics, business strategy, and communications—puts you in an enviable position as a highly sought-after and well-paid professional. Technology jobs including data science are among The post Data Science Jobs appeared first on UW Online Collaboratives.| UW Online Collaboratives
Many UK businesses waste time and money chasing the wrong prospects because their data isn’t reliable. Inaccurate contact lists lead to poor engagement, low conversions, and missed opportunities. By building a reliable consumer data network to your business, you can eliminate this uncertainty and gain access to the insights that fuel consistent success. A dependable… Read More »The Benefits of Building a Reliable Consumer Data Network| The Data Scientist
Mark your calendars! The Women in Data Science (WiDS) India Conference will take place on March 14, 2026, uniting data science leaders, practitioners, and| WiDS Worldwide
Children’s Day is not only a day of fun and merriment but also a very good day to remind the world about how powerful curiosity can be if it is nurtured early. Kids of today are being raised in a world where technology is omnipresent... The post Children’s Day Special: Encouraging Kids to Learn AI Through Hands-On Tools and Projects appeared first on Boston Institute of Analytics.| Boston Institute of Analytics
Some approaches moving data from Spark to Redis| FvdH
One of the questions most data engineers need to answer is whether this data pipeline should be real-time or batch. Sometimes posed as streaming vs batch. The tools you might use to do that have changed over the past few years, but that was always the question. The business, of course, would always ask for… Read more| Seattle Data Guy
Swiss school of hotel management schools are famous across the globe for blending service culture with strategic business leadership. In this listing of six| Boston Institute of Analytics
Dame Angela McLean, Government Chief Scientific Adviser, explores how the Government Science and Engineering Profession is embedding scientific expertise across government to improve policymaking and public services.| A Modern Civil Service
Learn how to use the Databricks sandbox with our easy guide. Explore setup, navigation, and key features to boost your data skills.| HatchWorks AI
Understand the Coefficient of Variation's in regression modeling. Learn when high variability is good, when to investigate further with examples.| Analytics Yogi
Rory Bufacchi talks about the excitement of finding new understanding from existing data and developing computational models to describe living systems.| EMBL
If your portfolio feels a little light or a little dated, this list is for you. The projects below are practical, resume friendly, and realistic to ship in weeks, not months. Each one includes a short twist you can use to stand out. Mix a few beginner wins with a couple of stretch goals, and […]| Data Driven Daily
In the digital-first world of today, data is not just a business asset, it is the actual lifeblood of any modern enterprise that wants to survive and thrive. Think of every click, purchase, email, and transaction as a drop added to a growing ocean of information. This ocean holds immense, untapped value, but only when […] The post 10 Best Data Management Strategies for Modern Enterprises appeared first on Softude.| Softude
Enterprises are collecting more data than ever, from apps, APIs, sensors, and cloud platforms. The real struggle isn’t getting data; it’s organizing, processing, and delivering it fast enough to support analytics, AI models, and business decisions. Traditional ETL systems weren’t designed for this pace. They handle fixed schemas, batch updates, and on-prem environments well, but […] The post How ETL as a Service Simplifies Data Management appeared first on Softude.| Softude
How artificial intelligence is driving markets higher and why investor fear may be the real fuel behind the surge By Dave Deruytter Artificial Artificial intelligence is fuelling record stock prices and investor FOMO. Financial expert Dave Deruytter explores whether this AI-driven boom is sustainable — or the start of another tech bubble?| Together Magazine
Reading Time: 4minutesBy 2027, half of all business decisions will be made or augmented by AI agents. That’s not a sci-fi projection—it’s a Gartner prediction. But if you’ve ever asked ChatGPT a “why” question about your business, you already know the gap... The post Denodo’s Role in Agentic AI: Building the Data Foundation for Autonomous Decision-Making 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...
Unify SAP and enterprise data in real time to accelerate cloud migration, unlock the potential of AI, & enable innovation without disruption.| Data Management Blog - Data Integration and Modern Data Management Articles, ...
The Pistoia Alliance, a nonprofit alliance that advocates for greater collaboration in life sciences R&D, launched the next phase of its Chemistry, Manufacturing and Controls (CMC) Process Ontology project on Thursday. The project, which aims to develop a pharmaceutical CMC process ontology based on the ISA-88/95 framework, is supported by Eli Lilly, Amgen, Merck &… The post Pharma leaders support new Pistoia Alliance data standardization initiative appeared first on Drug Discovery and Deve...| Drug Discovery and Development
In pharmaceutical R&D, most leaders believe the constraints are scientific: new biology, rare targets, combinatorial complexity. But across the industry, promising drug discovery pipelines are being delayed – not by a lack of scientific progress, but by infrastructure that can’t keep pace. The next transformative molecule won’t be held back by biology – it will… The post Why the next breakthrough drug depends on smarter infrastructure appeared first on Drug Discovery and Development.| Drug Discovery and Development
Author(s): Luca Derumier Originally published on Towards AI. Why 95% of AI Automation Projects Fail As CTO at Codika, I spend a lot of time talking to business leaders about automation. Lately, these conversations have followed a predictable pattern. They start with excitement — “2025 is the year of AI agents!” — and end with frustration: “We tried to automate X, but it went nowhere.” Photo by Google DeepMind on Pexels.The article discusses the alarming rate of failure in AI autom...| Towards AI
Last Updated on October 28, 2025 by Editorial Team Author(s): MKWriteshere Originally published on Towards AI. How tree search revolutionizes reinforcement learning for multi-turn language model agents Training AI agents to handle complex, multi-step tasks has always been expensive. Really expensive. Every time an agent interacts with its environment, you’re burning through tokens and API calls. Image Generated by Author using AIThe article discusses a revolutionary method called Tree-Group...| Towards AI
Explore skills, certifications, and career growth for a thriving Data Scientist career. Achieve success with actionable insights.| Learnopoly
Data Scientist Christopher Penn walks through the importance of deep fact checking and why it's important.| 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, you’ll learn about common data horror stories that can plague any marketing team, and [...]Read More... from So What? Data Horror Stories| Trust Insights Marketing Analytics Consulting
Jason Brinkley on LinkedIn the other day had a comment on the common look of resumes – I disagree with his point in part but it is worth a blog post to say why: So first, when giving advice I try to be clear about what I think are just my idiosyncratic positions vs advice […]| Andrew Wheeler
The other day an officer from the French Gendarmerie commented that they use my python for crime analysis book. I asked that individual, and he stated they all speak English. But given my book is w…| Andrew Wheeler
Fewer than one in four companies—only 22%—consider their AI deployment as strategic. That’s according to the respondents of our State of Data Science and AI survey. An unclear or absent strategy can limit how productive artificial intelligence (AI) initiatives become. However, we’re seeing progress toward those strategic approaches. In particular, there’s a varied mix of […] The post State of Data Science and AI: How Companies Are Moving Ahead (Or Not) in the AI Race appeared fi...| Anaconda
Python has revolutionized data visualization by providing powerful, flexible tools that transform complex data sets into compelling visual narratives. Unlike traditional approaches limited to Excel spreadsheets or proprietary software like Tableau, Python offers unparalleled control over every aspect of data visualization—from basic bar charts and line graphs to sophisticated interactive dashboards and real-time data monitoring […] The post Five Python Data Visualization Examples to Trans...| Anaconda
The business intelligence [BI] market appears mature. Most tools already cover an extensive range of features. After years of incremental updates, AI has put real momentum back into front ends. Some capabilities are already integrated into daily workflows, while others face slower adoption. This analysis examines the current state of BI tools, identifying both practical […]| BARC – Data Decisions. Built on BARC.
The inevitable follow-up question I receive after telling someone I work with artificial intelligence (AI) is some version of the question, “So, will AI take my job?” This reaction isn’t surprising. Microsoft’s 2024 Workplace Learning Report shows nearly half of workers worry AI might replace them. But this framing misses a crucial nuance about our […]| Andesite
Die angeblich "souveräne" SAP Delos Cloud ist nicht wirklich unabhängig, da sie auf Microsoft Azure und OpenAI Technologie basiert, welche US-amerikanisches Recht unterliegen. US-amerikanische Gesetze wie der CLOUD Act zwingen diese Unternehmen zur Kooperation mit den amerikanischen Behörden bei der Überwachung von Daten aus aller Welt. Dadurch besteht ein hohes Risiko für die Sicherheit deutscher Daten in der SAP Delos Cloud.| Dr. DSGVO
KI-Chatbots wie ChatGPT bieten Chancen, bergen aber Risiken für Datensicherheit, Datenschutz und rechtliche Vorgaben. Unternehmen sollten lokale KI-Systeme bevorzugen, um Kontrolle über sensible Daten zu behalten und Datenschutzbestimmungen einzuhalten. Öffentliche Chatbots können sinnvoll in bestimmten Anwendungsbereichen eingesetzt werden, müssen aber stets kritisch hinterfragt und niemals als zuverlässige Quelle für präzise Ergebnisse angesehen werden.| Dr. DSGVO
From healthcare policies to economic strategies, statistics inform every decision government makes. Meet the Government Statistical Service - a vibrant community of professionals who collect, analyse and communicate the data that guides our nation forward.| A Modern Civil Service
One Big Thing 2025 - ‘AI for All’ is live. This year’s initiative is about all civil servants becoming more confident and responsible users of AI.| moderncivilservice.blog.gov.uk
Reading Time: 4minutesThe term “AI-ready data” has quickly become one of the most overused buzzwords in enterprise technology today. Every vendor claims to provide it — yet most organizations are left wondering: What does AI-ready data actually mean, and how do you... The post Build AI-Ready Data Products with Denodo 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...
Reading Time: 3minutesIn the first post in this two-post series, we talked about SAP, how many organizations spread their data across SAP, non-SAP, cloud, and on-premises systems, hindering performance and usability, and how SUSE and Denodo create a powerful foundation for SAP,... The post SUSE and Denodo, Part 2: A Look Inside the Architecture 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...
Across the world, public sector institutions are under pressure to deliver more citizen-centric services without compromising public trust, or compliance.| Data Management Blog - Data Integration and Modern Data Management Articles, ...
The Science Office is the Ministry of Justice’s home for applied science, a team bringing expertise in foresight strategy, emerging technology and the natural, physical and behavioural sciences, to some of the justice system’s toughest challenges. From countering drones that …| mojdigital.blog.gov.uk
Women in Data Science (WiDS) is delighted to announce that long-time WiDS Ambassador Louvere Walker-Hannon has joined the WiDS Advisory Committee (board).| WiDS Worldwide
In this blog post, we'll discuss techniques such as data and model parallelism which allow us to distribute the model training process across a large cluster of machines.| Jeremy Jordan
In this blog post, I'll cover a couple of techniques used for approximate nearest neighbors search. This post will not cover approximate nearest neighbors methods exhaustively, but hopefully you'll be able to understand how people generally approach this problem and how to apply these techniques| Jeremy Jordan
In this post, I'll discuss an overview of deep learning techniques for object detection using convolutional neural networks. Object detection is useful for understanding what's in an image, describing both what is in an image and where those objects are found.| Jeremy Jordan
When evaluating a standard machine learning model, we usually classify our predictions into four categories: true positives, false positives, true negatives, and false negatives. However, for the dense prediction task of image segmentation, it's not immediately clear what counts as a "true positive" and, more generally, how we can evaluate| Jeremy Jordan
INBOX INSIGHTS: Lost the Plot on Planning, AI For Data Analysis, Part 1 (2025-10-08) :: View in browser 👉 Ready to lead AI? Register for our new course, the AI-Ready Strategist! Watch This Newsletter 🎧 Listen to this newsletter as an MP3 We’ve Lost the Plot on Planning- Part 1 I’ve been in a lot [...]Read More... from INBOX INSIGHTS, October 8, 2025: Lost the Plot on Planning, AI For Data Analysis, Part 1| Trust Insights Marketing Analytics Consulting
This data was origially featured in the September 3rd, 2025 newsletter found here: INBOX INSIGHTS, September 3, 2025: Becoming AI Ready, Leading Economic Indicators In this week’s Data Diaries, let’s examine a few more leading economic indicators. Last week we looked at hiring demand to understand the state of the economy based on what industries [...]Read More... from Leading Economic Indicators| 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 approach a data quality audit in an AI-ready world. [...]Read More... from So What? The AI-Ready Data Quality Audit| Trust Insights Marketing Analytics Consulting
INBOX INSIGHTS: AI Data Quality, Dealing With Information Overload (2025-10-01) :: View in browser 👉 Ready to lead AI? Register for our new course, the AI-Ready Strategist! Watch This Newsletter 🎧 Listen to this newsletter as an MP3 Why Your Annual Plans Are Only as Good as Your Data I’ll never forget the planning meeting [...]Read More... from INBOX INSIGHTS, October 1, 2025: AI Data Quality, Dealing With Information Overload| Trust Insights Marketing Analytics Consulting
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss how user data quality fundamentally controls social media algorithms, including the new LinkedIn LLM system. You will learn how modern social algorithms use language models to predict your engagement, shifting the control back to you. You will discover why your likes, [...]Read More... from In-Ear Insights: How Data Quality Impacts Social Media Algorithms| Trust Insights Marketing Analytics Consulting
How we spend our time is one of the most important questions facing any mortal creature.1 While you can, with effort, earn more money, you cannot—at least in the course of normal life2—create more time for yourself. As an extensive recent review of the economics of attention points out (Loewenstein and Wojtowicz 2025), the time we have is limited and rivalrous: if you spend it on one thing, you cannot spend it on another. 1 Aren’t all creatures mortal? Perhaps not. Some jellyfish have ...| Arthur Turrell
Choosing the right statistical software can feel overwhelming with so many options available. While Minitab is a leading tool, it comes with a high price tag. This article compares Minitab with JMP, SigmaMagic, SigmaXL, SPSS, Statgraphics, R, and Python, breaking down their features, usability, and affordability. Whether you’re a student, engineer, or business leader, you’ll find which platform fits your data analysis needs without breaking your budget.| Enhancing Your Business Performance
This summer the UW Data Science Minor, in collaboration with eScience, offered the third iteration of the Humanities Data Science Summer Institute (HDSSI). Undergraduates, graduate students, and faculty from several university departments gathered to work together on humanities data science research projects. During this collaborative process, students attended training sessions with guidance from HDSSI co-founders […]| eScience Institute
When I first started exploring data science, the field felt both exciting and overwhelming, with so many tools, algorithms, and career paths to consider. And I’m not alone: the Bureau of Labor Statistics projects a 34% growth in data scientist jobs by 2032, while AI-driven roles are expanding rapidly. With innovation accelerating through machine learning, […] The post AI vs DS: Understanding the Differences and Overlaps appeared first on Flatiron School.| Flatiron School
What do data analysts do? They transform data into actionable insights that fuel smart business decisions. Learn about the role’s duties and career paths.| Flatiron School
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, ...
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
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
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®
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...
The promise of Trusted AI in government is compelling: smarter decision-making, proactive citizen services, & lightning-fast crisis response.| 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
How biomarker discovery automation—spanning assay analytics, metadata capture, and data lineage—enables reproducible results across omics, imaging, and clinical data.| Drug Discovery and Development
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