****The Official A.I. Thread****

[BigRedChief]

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.

https://mapsplatform.google.com/reso...i-and-weather/

[Otter]

I have a theory that all the English majors who STEM peeps like myself have made fun of may take over due to how AI is engaged.

Any thoughts on that from the 40yol tech guys? Or anyone?

[BigRedChief]

Originally Posted by Otter

I have a theory that all the English majors who STEM peeps like myself have made fun of may take over due to how AI is engaged.

Any thoughts on that from the 40yol tech guys? Or anyone?

Sure. Almost every AI guru I’ve worked alongside with either had no interest in other fields of IT because they knew AI would last them through retirement. They just need to keep up with advances in the field. A full-time job these days.

Most of the jobs will be coding AI but there will still be plenty of high paying jobs like Cloud Architect and networking to get the AI feed in and out without compromise results of bots going into the data lake. Yes, English majors are working in tech. And other languages. Those that can make queries more succinct but still get the data volume of returns they are seeking will be well payed.

Or getting the AI bots out to its learning targets and back in with their results without picking something up in the wild. All that is making sure the bots are in a standard security group so they can get easily flagged upon returning home if something is flagged.

[Otter]

Originally Posted by BigRedChief

Sure. Almost every AI guru I’ve worked alongside with either had no interest in other fields of IT because they knew AI would last them through retirement. They just need to keep up with advances in the field. A full-time job these days.

Most of the jobs will be coding AI but there will still be plenty of high paying jobs like Cloud Architect and networking to get the AI feed in and out without compromise results of bots going into the data lake. Yes, English majors are working in tech. And other languages. Those that can make queries more succinct but still get the data volume of returns they are seeking will be well payed.

Or getting the AI bots out to its learning targets and back in with their results without picking something up in the wild. All that is making sure the bots are in a standard security group so they can get easily flagged upon returning home if something is flagged.

Thank you BRC.

I truly believe we're about to go through a slow burn paradigm shift over the next 5 years. As in industrial revolution part duex x100.