🤖 Google teams up with gas plant for AI datacenter in sharp turn from climate goals

Texas power plant would emit 4.5m tons of carbon dioxide per year, more than that of the entire city of San FranciscoGoogle has struck a partnership for a natural gas power plant that could provide...

📰 Source: AI (artificial intelligence) | The Guardian
🔗 Archive: https://web.archive.org/web/https://www.theguardian.com/technology/2026/apr/02/google-ai-datacenter

#AI #ArtificialIntelligence #DataScience

📰 A New Google-Funded Data Center Will Be Powered by a Massive Gas Plant

Documents show that one of Google’s new data centers would be powered by a natural gas plant that emits millions of tons of emissions each year—an increasingly common trend in the industry.

📰 Source: Feed: All Latest
🔗 Archive: https://web.archive.org/web/https://www.wired.com/story/a-new-google-funded-data-center-will-be-powered-by-a-massive-gas-plant/

#DataScience

📊 Accelerate business insights with Lakeflow Connect, now with a Free Tier

AI agents like Databricks Genie are only as good as the data they can access. But...

📰 Source: Databricks
🔗 Link: https://www.databricks.com/blog/accelerate-business-insights-lakeflow-connect-now-free-tier

#AI #ArtificialIntelligence #DataScience

📊 Why agentic analytics starts with a well-governed data layer

As AI changes how executives interact with data, analytics is moving out of the dashboard...

📰 Source: Databricks
🔗 Link: https://www.databricks.com/blog/why-agentic-analytics-starts-well-governed-data-layer

#AI #ArtificialIntelligence #DataScience

🌳 I am finalizing a tool that allows for a rapid and accurate assessment of the green infrastructure in any Calgary community. This isn't just "green color" on a map—my algorithm recognizes the differences in the quality and structure of the urban environment.

What we can quantify right now:
🔹 Lawn (Grasses, low shrubs): Open spaces that tend to dry out and heat up quickly during summer.
🔹 Park (Sparse Canopy): Scattered groups of trees in parks and private yards.
🔹 Forest (Dense Canopy): The "lungs" of a neighborhood, characterized by closed canopies and thick undergrowth. These areas provide vital protection against urban heat.

❗ Why does this matter?
Using Inglewood as an example (see the chart), we can see that "dense forest" covers only about 5% of the area. This is a critical indicator of the territory's climate resilience.

#Calgary #UrbanForestry #CityPlanning #DataScience #Inglewood #CalgaryEnvironment #GIS #RemoteSensing #MachineLearning #Inglewood #Rstats #GreennesOfCalgary #YYC #yycPlanning

📰 Dataflows: Thank you for eight years of Gen1—and why Gen2 is the future

For more than eight years, customers have relied on Power BI Dataflows (Gen1) as a core part of their analytics solutions. We’re grateful for the trust you placed in the Power Query experience to b...

📰 Source: Microsoft Power BI Blog | Microsoft Power BI
🔗 Link: https://powerbi.microsoft.com/en-us/blog/dataflows-thank-you-for-eight-years-of-gen1-and-why-gen2-is-the-future/

#DataScience

🌌 A star from the cosmic dawn! In dwarf galaxy Pictor II, astronomers found PicII-503 – one of the most chemically primitive stars ever. Less than 1/40,000th of the Sun's iron, carbon-to-iron ratio 1,500× solar. A "second-generation" star preserving traces of the very first stellar explosions. Published in Nature Astronomy.

📅 Mar 16, 2026
🔗 https://noirlab.edu/public/news/noirlab2607/

#Astronomy #Science #DataScience #Space

Data's Shifting Landscape: The Evolving Role of the Data Scientist

Data scientists are shifting focus from complex AI models to practical applications and enabling tools. Learn how this changes their role and the use of data.

#DataScience, #AI, #TechTrends, #MachineLearning, #BigData

https://newsletter.tf/data-scientists-focus-practical-use-not-complex-models/

Data scientists are now using simpler tools like XGBoost more than complex AI for many tasks. This is a change from building only advanced models.

#DataScience, #AI, #TechTrends, #MachineLearning, #BigData
https://newsletter.tf/data-scientists-focus-practical-use-not-complex-models/