****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/

[ReynardMuldrake]

Originally Posted by Otter

I watched that video 3x looking for flaws (limbs, fingers and eye movement are most common) and couldn't find one.

You can definitely still tell. The skin has this fuzzy airbrushed quality that doesn't seem real. Mouth and hair movements look slightly off. When you freeze frame it, the stills are really convincing. But it's way harder to tell these apart than they used to be just a year ago.

[scho63]

Chorus.ai is the greatest note taking tool for online meetings you will currently find.

It is integrated with my Google calendar and each of the presentations/demos I perform for my prospects I receive an email with a number list of Action Items and a bulleted Summary of the discussion.

It is so damn accurate and to the point it is scary. It is NOT a speech to text tool but a true AI tool to take a 30 or 60 minute call and perfectly detail, including everyone's names.

When your meeting starts, Chorus automatically joins .There is also a dashboard on the Chorus tool with a list of all your meetings.

10/10

[scho63]

Our company does Predictive AI during the last 10 years for a specific vertical and we are the market leader. A huge advantage against all overs.

We have over 65TB of data from 450 sensor data points with 3,500+ combinations of the different specs we report on.

Really groundbreaking stuff and exciting to work on something at the forefront of new technology.

[Otter]

Originally Posted by htismaqe

Need to adjust the prompt to make the stadium seats red and yellow and it would be damn near perfect.

The liquid beer isn't responding to gravity either so we're still OK.

[Bowser]

This can be potentially problematic and terrifying in the wrong person's hands...

[chiefzilla1501]

It’s the 2001 space odyssey effect. Every so often we find an artifact that changes everything a lot. But humans learn to adapt. There’s a lot to be worried about with AI. But we had a lot of those same concerns with the internet.

My personal observation is that it will take a while for this to automate people away. On the manufacturing side we will continue to need people to build the tech and the robots and how this all work logistically. And we will need lots and lots of people to guide the AI. Meanwhile lots of business will roll this out carefully with data privacy and governance being a significant concern. And the majority of the workforce will take many years to be upskilled. So for the short term there will be lots of people working on adoption of the tech which will buy time for the world to adapt to figure out what the future of work is. I think the biggest concern will be making sure the work you do today can’t easily br automated away. If it can be, then there’s still plenty of opportunity to adapt what you do. If you are a technical writer for example, there is still a massive need for creatives who can help AI produce much better written content. And I don’t think that will go away for a while.

[BigRedChief]

Originally Posted by Bowser

This can be potentially problematic and terrifying in the wrong person's hands...

I Architected and built the first Cloud environment at Bank of America in 2018. They were the first bank in America to go to the cloud(as far as I now). I was also allowed to design the security. It was locked down.

7.5 years later that's a quaint dinosaur approach. At least some of those skills are still applicable to AI but, like others have said, unless you get those routines down, you'd better look to be changing fields.

[BigRedChief]

Originally Posted by chiefzilla1501

If you are a technical writer for example, there is still a massive need for creatives who can help AI produce much better written content. And I don’t think that will go away for a while.

As mentioned a couple of times in here, our observations in our individual IT departments that the people who write quality emails seem to do well with the AI routines. Too early to know if that's the skill you need for AI or not.

[BigRedChief]

New Orleans has been using AI cameras for 2 years to identify criminals

This controversial technology is helping to find the escaped New Orleans inmates
By Clare Duffy, CNN

Minutes after Louisiana State Police got word on Friday morning that 10 inmates had escaped a New Orleans jail, two of them were spotted on facial recognition cameras in the city’s French Quarter. Police arrested one of the escapees shortly after; the other, days later.

The cameras were part of a network of around 5,000 operated around the city by the non-profit Project NOLA, 200 of which are outfitted with facial recognition technology. State police had shared information about the jailbreak with the organization.

The incident marks a win for the organization, whose camera network is believed to be unprecedented in the United States. The group is emblematic of a growing — albeit controversial — push to use facial recognition technology to help solve crimes.

“This is the exact reason why facial recognition technology is so critical,” New Orleans Police Superintendent Anne Kirkpatrick said during a press conference earlier this week.

But as adoption of the technology has grown, advocacy groups warn that it could undermine individual privacy. Even worse, inaccurate matches by facial recognition technology systems run by police departments elsewhere have led to false arrests in other cities.

In New Orleans, those concerns may be heightened by the fact that Project NOLA is independent from local law enforcement agencies — although it shares information with police — and therefore isn’t necessarily subject to the same scrutiny or accountability.

https://www.cnn.com/2025/05/23/tech/...al-recognition