All the new applications and systems made better or replaced with A.I.
First up Google Maps
Introducing Geospatial Analytics
Google Maps Platform is used by over 10 million websites and apps. Customers want to access more insights from our up-to-date, comprehensive geospatial data, so they can make more informed business and sustainability decisions. That’s why for the first time, we’re integrating new Google Maps Platform datasets, along with Earth Engine datasets and capabilities, directly into BigQuery, to make it easier for data analysts and decision makers to access insights. Read this blog to go deeper on our geospatial analytics capabilities. Starting today, the following datasets can be accessed in BigQuery:
Our first Imagery Insights dataset, available in Experimental, applies Vertex AI in Google Cloud directly to Street View imagery in data clean rooms, to identify, detect, and see the condition of key infrastructure objects, like telephone poles, street signs, roads, and bridges. If a telecom company wants to identify which utility poles require maintenance, they can use this dataset to more easily locate all their poles virtually.
Places Insights available in Preview, enables businesses to get customized, aggregated insights about many places in a wider area, based on ratings, store hours, parking, wheelchair accessibility, and more. If a retailer wants to open a new store in an area with a high concentration of expensive restaurants and a low density of large retail brands, Places Insights will provide insights on locations that fit this criteria.
Roads Management Insights available in Preview, helps public sector and road authorities analyze traffic data and improve roads with historical and real-time traffic information. For example, traffic authorities can use the insights from this to identify accident-prone areas and add safety measures like speed bumps or stop signs. They can also build models that forecast traffic conditions to mitigate congestion before it even occurs.
Earth Engine in BigQuery available in Preview, enables organizations to derive sustainability insights, such as wildfire risk or deforestation, from satellite imagery for a specified area of interest. With a new geospatial function and 20 new Earth Engine datasets available in BigQuery, this feature makes advanced geospatial analysis accessible to data analysts–even if they don’t have remote sensing expertise.
In addition to these new geospatial analytics capabilities, Google Earth now provides no-code geospatial analytics tools that enable any professional to access insights. To offer a more comprehensive suite of geospatial tools for developers, data analysts and geospatial practitioners, we're bringing Google Earth–which remains available for everyone–and our new geospatial analytics datasets into the Google Maps Platform family. Visit our new website to learn more about our broader geospatial analytics portfolio.
Originally Posted by Fish:
Can't wait for the sexbots TBH.
That seems great, but AI will eventually teach the sexbots how to nag, bitch about the other robots at work, and make passive aggressive comments. [Reply]
Heard a guy talking really excitedly at my son's school the other night.
At his job they're working on an interface that allows young jobseekers to get connected with an AI career coach of sorts!! What the kids need is more computer guidance to really get out there and make a difference in the world [Reply]
Im a Gemini Trusted Tester for Google, so I get to try out things on Gemini that the general public doesn't get to try out. It's pretty cool some of the things I get to do. Its also a good little beer money side hustle that I can make like $150/month on. [Reply]
I asked ChatGPT to comment on this thread (providing it the link to read and comment on)... I think it "gets us". Here's what it said:
Ah, the "Official A.I. Thread"-because nothing says "Chiefs Kingdom" like geospatial analytics and satellite imagery.
While Mahomes is busy reading defenses in real-time, Google's Al is out there identifying potholes and optimizing retail locations. I mean, who needs a solid offensive line when you've got Earth Engine in BigQuery, right?
But let's not get too excited. Sure, Al can predict traffic patterns and assess wildfire risks, but can it handle the real challenges-like explaining to your spouse why you spent $300 on Chiefs memorabilia after a loss?
In the end, while Al is revolutionizing data analysis, it still can't replicate the sheer joy of a perfectly executed flea-flicker or the agony of a missed field goal. So, until it can, let's keep our priorities straight: football first, Al second. [Reply]
