Social•Feb 14, 2026
Analytics: The Easiest Gateway Into Tech Careers
As a CS girlie, I started my journey in Analytics and to this day, I still believe it has one of the lowest barriers to entry into a career in tech. The barrier has never been lower. If you’re thinking about exploring a career in Analytics, start with my Guide. https://tekdlin.com/data-analytics-guide/
By Ebere Oyek (Nelo) — Data | AI | ML
Social•Feb 14, 2026
ISL Replaces ETL: Intelligence Beats Raw Data Ingestion
Ingest Structure Learn (ISL) is the new ETL. It used to be the case that a company would try to license this kind of data as an “edge”. I’ve seen many companies in SV try to make this claim. That...
By Chamath Palihapitiya
Social•Feb 14, 2026
WrenAI Automates BI with AI-Powered Text2SQL
Move over Tableau and PowerBI. There's a new Python library that automates Business Intelligence with AI using Text2SQL. Let me introduce you to WrenAI:
By Matt Dancho
Social•Feb 13, 2026
Unified Data Turns Branches Into Profit Engines
Branches can become profit engines, not cost centers, if supported by unified data and modern infrastructure. Execution is the difference. We discuss this with Benjamin Conant of @alkamitech and Co founder of @Mantl_tech. Watch the full video now: https://t.co/Jamreeb077 https://t.co/L1lau9ecEU
By Jim Marous
Social•Feb 13, 2026
Beyond Accuracy: Build Actionable AI Models and Agents
Most portfolios fail because they stop at “model accuracy.” A good AI/DS portfolio has: 1. A model that predicts something the business can act on 2. An AI agent that turns outputs into next steps It's that simple. Want help?
By Matt Dancho
Social•Feb 13, 2026
AI Agents Speed Up Database Benchmarking for Patch Reviews
I discovered a new favorite use of AI Agents. Get ☕️, its a bit long: If you follow the postgres-hackers list, you know this pattern: - Someone submits a patch - Someone else raises performance concerns with the patch The rational thing to do...
By Gwen (Chen) Shapira
Social•Feb 13, 2026
Data Engineering: Experience Beats Tutorials Through Pattern Recognition
After years in data engineering, I've realized the job is mostly pattern recognition. You see a problem. You recognize it as a variant of a problem you've solved before. You apply a known solution with modifications. This is why experience matters more...
By SSP Data
Social•Feb 13, 2026
Great Tables Turns DataFrames Into Presentation‑ready Tables
Turning a DataFrame into a presentation-ready table in Python. Recently I tried a library called Great Tables and it makes formatting tables very easy. - Works with Pandas & Polars - 19 formatting methods (currency, percentages, dates, scientific notation) - Export to HTML, LaTeX,...
By Karina | Python | Excel | Stats | DataScience | DataAnalytics
Social•Feb 11, 2026
5 XGBoost Hacks From a Kaggle Grandmaster
XGBoost Tips from 5x Kaggle Grandmaster Chris Deotte Top 5 ways to improve your ML models:
By Matt Dancho
Social•Feb 11, 2026
AI Agents Boost Platform Growth by Simplifying Data and Code
When thinking through the future of software, it’s helpful to think through what will we produce more of vs. less of in the future due to agents. And what systems are tied to that production or consumption. Whether it’s a new...
By Aaron Levie
Social•Feb 11, 2026
Iceberg's New API Validates DuckDB's Catalog Metadata Claim
The fact that iceberg has introduced a scan planning api is a tacit admission that ducklake is right and the metadata should just live in the catalog. https://t.co/PgsOWxx1v0
By George Fraser
Social•Feb 10, 2026
Executive Backing Turns Data Governance From Reactive to Strategic
Data governance is critical but tough. Without executive support, clear roles, and resources, committees stay reactive. Done right, it drives strategic decisions and strengthens both insights and cyber resilience. https://t.co/brZ80xsiyu
By Cristina Dolan
Social•Feb 10, 2026
AI Data Center Stack: System Build, Not Chip Cycle
AI DATA CENTER STACK — this is a systems build, not a chip cycle 👇 COMPUTE & SERVERS: $NVDA Owns accelerated compute end to end. CUDA locks software, NVLink locks topology. Sells architectures, not chips. Switching costs scale with clusters. $AMD Pressure valve...
By Sergey CYW
Social•Feb 10, 2026
Decompose Sales Data to Distinguish Real Growth
Your manager asks: "Sales jumped in December — is that a real growth or seasonality?" You pull up a line chart. Sure, it shows the spike. But it doesn't tell you why. And that's what they actually want to know. This is where time...
By Karina | Python | Excel | Stats | DataScience | DataAnalytics
Social•Feb 10, 2026
AI Infrastructure Drives Hardware Winners in Hyperscaler CAPEX
Hardware winners of the $600B+ hyperscaler CAPEX wave 🧵 Meta, Microsoft, Google, and Amazon are prioritizing compute, power, and networking control into 2026. ~75% of spend is AI infrastructure. Price sensitivity is low. Supply is tight. This is a vendor-selection cycle,...
By Sergey CYW
Social•Feb 9, 2026
AI Tools Remove Data Barriers, Driving Explosive Growth
I now constantly get questions about the SAAS meltdown, role of AI, system of records etc. I don't have an answer to all these. But I do know that we saw an acceleration in our business in Q2, Q3, and...
By Ali Ghodsi
Social•Feb 9, 2026
New Tech, Data, AI Roles Shaping the Last Five Years
Job titles that have emerged in Tech, Data and AI the last 5 years: 👇
By Ebere Oyek (Nelo) — Data | AI | ML
Social•Feb 9, 2026
StarRocks Delivers DWH‑Level Joins on Lakehouse Natively
Today, I dig into the details of StarRocks and how it is gaining traction in the real-time database world. DWH-like joins and fast retrieval from a #Lakehouse-native data architecture, without additional data engineering work to persist and ingest data. https://www.ssp.sh/blog/starrocks-lakehouse-native-joins/
By SSP Data
Social•Feb 9, 2026
Modern Tools Reshape Kimball’s Data Modeling Techniques
What's changed since Kimball wrote The Data Warehouse Toolkit: 1. Surrogate keys are less necessary with better databases 2. Denormalization for performance matters less with modern engines 3. Snapshotting dimensions beats complex SCD2 logic 4. Collaboration requirements mean looser conformance Kimball's principles still matter. But...
By SSP Data
Social•Feb 9, 2026
AI Success Mirrors Sports: Master Fundamentals Daily
Most AI programmes fail for the same reason sports teams lose: weak fundamentals. 🏅 In this video, I share 6 lessons from elite sport that make AI adoption work when it moves from pilot to daily workflow: 1️⃣ Clear roles and ownership,...
By Bernard Marr
Social•Feb 8, 2026
Visualize Churn Timing with Python Cohort Heatmaps
At my work every month we look at customer retention. A single churn rate doesn't tell the whole story. You need to show when customers are leaving. Here's how you can do it with a cohort analysis heatmap in python
By Karina | Python | Excel | Stats | DataScience | DataAnalytics
Social•Feb 8, 2026
Choosing Exit Over 2% $50M Gamble
I've been thinking about this math a lot and weighing if that 2% chance of $50m is worth it. I've built DataExpert.io to $2M ARR over the last three years. I could exit for $8-10m now. In 3 years not...
By Zach Wilson
Social•Feb 8, 2026
AI Flood Drowns Human Filters, Killing Traditional Docs
The signal-to-noise problem is about to become unsolvable for humans alone. When AI makes ALL content (texts, emails, PRs, job apps, grant apps, college apps, mail) high-quality and infinite in volume, every filtering process breaks. And when it can’t be filtered...
By Allie Miller
Social•Feb 6, 2026
ETL: The Backbone of Modern Data Workflows
📊 The ETL Data Pipeline From raw sources (databases, APIs, files) → clean & transform (cleaning, joining, aggregating) → load into warehouse/analytics for BI, reports & ML. E → T → L: the backbone of modern data workflows.🚀
By Big Data | Data Science | ML (bigdataspecialist)
Social•Feb 5, 2026
Deep Data Science and Startup Can't Coexist Full‑Time
Let me explain to y’all saying can’t i do both the $370k full time data science role at Anthropic & my startup. As someone who has analyzed 2.5billion daily active youtube user data, data science is intense You cannot do deep...
By Omozara
Social•Feb 2, 2026
Apply Sports AI Tactics: Real‑Time, Personalized, Scenario‑Driven Business
4 practical AI lessons from sport. Sport is one of the best stress tests for AI, because decisions are fast, public, and high stakes. Here are 4 AI lessons every executive can steal from elite sport 👇 4) Fan Engagement At Scale...
By Bernard Marr
Social•Feb 2, 2026
Match AI Capabilities to Tasks, Not Just Benchmarks
Choosing The Right AI In 2026 Is No Longer About Choosing The Right Model In 2026, choosing the right #AI comes down to matching #capability profiles to specific tasks, risk levels and business outcomes, rather than chasing benchmark winners. This #framework helps...
By Bernard Marr
Social•Jan 28, 2026
Build Reusable Anthropic Agent Skills for Any Workflow
Important new course: Agent Skills with Anthropic, built with Anthropic and taught by Elie Schoppik ! Skills are constructed as folders of instructions that equip agents with on-demand knowledge and workflows. This short course teaches you how to create them following...
By Andrew Ng
Social•Jan 27, 2026
AI Democratizes Analytics with Real‑Time Insight Agents
AI is transforming how organisations explore and understand their data. In this video, I show how natural language interfaces, real-time insight detection, and AI agents are reshaping decision-making and democratising analytics for everyone. 📊🤖 #DataAnalytics #AI #BusinessIntelligence #FutureOfWork #TechInnovation
By Bernard Marr
Social•Jan 23, 2026
AI Agents Erase Traditional Brand Loyalty Forever
AI Agents Are Killing Brand Loyalty — And Reshaping How We Shop AI driven personalisation and recommendations are changing consumer habits — the article argues we may be witnessing the end of traditional brand loyalty. Read more 👉 https://lnkd.in/eKJxW8du #AI #Retail #ConsumerBehaviour #BernardMarr
By Bernard Marr
Social•Jan 23, 2026
AI Poised to Add $4.4T, Reshape Jobs Worldwide
📊 AI is transforming business, education, healthcare, and the global economy at an unprecedented speed. But how big is the AI revolution really? In this video, I break down the most important AI facts, statistics, and trends that everyone needs to...
By Bernard Marr
Social•Jan 23, 2026
Five Hidden Davos 2026 Themes Shaping Business Strategy
5 Important Davos 2026 Signals Leaders Mustn’t Ignore Discover the five under-the-radar themes from #Davos2026 that are reshaping #AI #strategy , digital sovereignty, #supplychain #resilience , #workforce #skills , and #trust in business. Learn what global leaders discussed away from the...
By Bernard Marr
Social•Jan 21, 2026
Master Databricks Agent Skills with Gavita’s Tutorial
Checkout this video of how to use Agent Skills in Databricks. 👩🏽🔬 Gavita does a great job in this video.
By Ali Ghodsi
Social•Jan 17, 2026
AI Drives Healthcare's Major Leap in 2026
Beyond The Hype: How #Healthcare #AI Makes The Next Leap In 2026 by Adam Farren @Forbes Learn more: https://t.co/WZFfHRkG9b #MedTech #HealthTech #Tech #TechForGood https://t.co/MxMMb1Zduh
By Ronald van Loon
Social•Jan 16, 2026
Blocking Data Centers Harms Environment More Than Helps
Many people are fighting the growth of data centers because they could increase CO2 emissions, electricity prices, and water use. I’m going to stake out an unpopular view: These concerns are overstated, and blocking data center construction will actually hurt...
By Andrew Ng
Social•Jan 15, 2026
Instantly Detect and Track Anything with One Phrase
Turn chaos into clean cuts. Here’s the aha moment that stopped me: I can type a single phrase like “all cyclists” and instantly detect, segment, and track every one of them, even as the scene changes. No pipelines. No re-training. No frame-by-frame pain. This...
By Ronald van Loon
Social•Jan 15, 2026
CES 2026’s Missing Topics Reveal Real Tech Priorities
What We Didn’t See At CES 2026, And Why That Matters #CES2026 dazzled with AI, robots and smart devices, yet left critical questions unanswered around #jobs , #skills , #sustainability , #governance , #privacy , and real business value. This...
By Bernard Marr
Social•Jan 14, 2026
Computer Vision Enables Accurate Real‑Time Object Counting
Seeing Is Counting: Object Counting Powered by Computer Vision by @Ultralytics #Innovation #EmergingTech #TechForGood https://t.co/ZsIsqh5MrO
By Ronald van Loon
Social•Jan 13, 2026
2026: AI Moves From Hype to Measurable Business Value
2026 is the year when AI stops being about promise and starts being judged on outcomes. In this short clip, I discuss with Pascal Brier why we are entering the “year of truth” for AI. After years of pilots, proofs-of-concept,...
By Bernard Marr
Social•Jan 13, 2026
Telexistence Launches Massive Robotic Motion Data Hub
Telexistence Introduces Large-Scale #Robotic Motion Data Factory for #AI Training via @ZappyZappy7 #ArtificialIntelligence #MI #ML #Tech #Innovation https://t.co/Q43zRYjqCI
By Ronald van Loon
Social•Jan 12, 2026
Choosing Build vs Buy AI Agents Impacts Strategy
Build Or Buy AI Agents: Why This Choice Matters More Than You Think #AI agents are moving fast from experimentation to everyday #business use, forcing #leaders to make critical #decisions about how they deploy them. This article explores the real...
By Bernard Marr
Social•Jan 12, 2026
Robot Dog Collects Data in US Chip Factories
Robot Dog Deployed for #Data Collection in U.S. Semiconductor Production by @TXInstruments #AI #Robotics #Technology #Engineering #Innovation https://t.co/wYgIfCiEe4
By Ronald van Loon