"This AI Revolution is not over-hyped. It is not made up" - Barack Obama

[NYSTATEOFMIND]

like they did into blockchain .. with a quantum leap still pending.

which is why i mentioned bitcoin and by extension blockchain earlier.

you can't see the pattern"?

i asked which businesses are "trusting LLMs" a few posts back?

could you perhaps answer and specify what they are using them for?

I know for a fact Mckinsey and BCBS is pumping money in GenAI- Mckinsey is building their own version of Chatgbt

 

[null]

I know for a fact Mckinsey and BCBS is pumping money in GenAI- Mckinsey is building their own version of Chatgbt

more "pumping money" is not what i mean. pumping money is speculative, not proof of concept.

where are LLMs employed offering front line services to businesses?

 

[NYSTATEOFMIND]

more "pumping money" is not what i mean. pumping money is speculative, not proof of concept.

where are LLMs employed offering front line services to businesses?

a 5 second search will tell you Delta airlines using GenAI for customer service as well as heathrow airport-there were ecommerce examples but not sure those functions were ever done using a human anyway. I am confident they arent the only ones

 

[null]

a 5 second search will tell you Delta airlines using GenAI for customer service as well as heathrow airport-there were ecommerce examples but not sure those functions were ever done using a human anyway. I am confident they arent the only ones

a fulsome and exemplary response .



with evidence like that i guess the matter is settled beyond a doubt.

 

[the bossman]

It’ll probably happen, but I think it’ll be a while before high skilled client facing jobs are affected.

Part of it is just because clients are not usually great at articulating requirements, and a human would still probably be more efficient in that regard (translating requirements).

Edit: Clients also want people to tell them what they SHOULD BE doing. While AI is getting much better at delivering solutions based on prompts, I don’t know how great they are at making recommendations and I don’t know how soon corporations would trust AI to directly determine their strategic decisions.

still at least another 5 years away I think. we have this AI chatbot thing they introduced at my work two years ago. The goal was to have it start handling all the low level repetitive issues that a support person would normally handle.

Even yesterday I was lmao because after it did its analysis of the problem, the thing ends up sending the wrong replacement info to the logistics team for a customer issue. The team then ends up sending out the wrong part to a customer because of the bad info they got from the AI bot. Now they have to assign a real support person to fix the mess

 

[bnew]

more "pumping money" is not what i mean. pumping money is speculative, not proof of concept.

where are LLMs employed offering front line services to businesses?

Source : Real-world gen AI use cases from the world's leading organizations | Google Cloud Blog

AI & Machine Learning

601 real-world gen AI use cases from the world's leading organizations​

April 9, 2025

Matt Renner​

President, Global Revenue, Google Cloud

Matt A.V. Chaban​

Senior Editor, Transform

AI is here, AI is everywhere: Top companies, governments, researchers, and startups are already enhancing their work with Google's AI solutions.​

Try Gemini 2.5​

Our most intelligent model is now available on Vertex AI

Try now

Published April 12, 2024; last updated April 9, 2025.

---

Exactly a year ago, we first published this list during Google Cloud Next 24. It numbered 101 entries.

It felt like a lot at the time, and served as a showcase of how much momentum both Google and the industry were seeing around generative AI adoption. In the brief period of gen AI being widely available, organizations of all sizes had begun experimenting with it and putting it into production across their work and across the world, doing so at a speed rarely seen with new technology.

What a difference a year makes. Our list has grown by 6X. And still, that’s just scratching the surface of what’s becoming possible with AI across the enterprise.

Many of these use cases are coming to life this week at Google Cloud Next 25, as we join with these customers and partners and thousands more in Las Vegas and virtually around the globe.

To name just a few: Wendy’s, Papa John’s pizza, and Uber are all managing orders faster, whether that’s at the drive-thru or through their app with predictive AI tools. Mercedes Benz and General Motors have enhanced in-vehicle services while Samsung’s newest phones and even its in-home robot, Ballie, have more responsive features thanks to AI. Financial institutions like Citi, Deutsche Bank, and Intesa Sanpaolo are providing new services securely, monitoring markets faster, and combatting fraud in novel ways.

Given the incredible pace of innovation and progress we continue to see, we are confident that AI will grow beyond even our imagination as our customers continue to challenge us to design, build, deploy, and create value.

Hopefully you find something here that will propel our own AI endeavors together.

---

The list is organized by 11 major industry groups, and within those, six agent types: Customer, Employee, Creative, Code, Data, and Security. There are 280 new entries, denoted with an asterisk (*) before the organization’s name.

Automotive & Logistics

Customer Agents​

• Continental is using Google's data and AI technologies to develop automotive solutions that are safe, efficient, and user-focused. One of the initial outcomes of this partnership is the integration of Google Cloud's conversational AI technologies into Continental's Smart Cockpit HPC, an in-vehicle speech-command solution.
  
• General Motors’ OnStar has been augmented with new AI features, including a virtual assistant powered by Google Cloud’s conversational AI technologies that are better able to recognize the speaker’s intent.
  
• *MercedesBenz is providing conversational search and navigation in the new CLA series cars using Google Cloud’s industry-tuned Automotive AI Agent.
  
• Mercedes Benz is infusing e-commerce capabilities into its online storefront with a gen AI-powered smart sales assistant.
  
• PODS worked with the advertising agency Tombras to create the “World’s Smartest Billboard” using Gemini — a campaign on its trucks that could adapt to each neighborhood in New York City, changing in real-time based on data. It hit all 299 neighborhoods in just 29 hours, creating more than 6,000 unique headlines.
  
• UPS Capital launched DeliveryDefense Address Confidence, which uses machine learning and UPS data to provide a confidence score for shippers to help them determine the likelihood of a successful delivery.
  
• Volkswagen of America built a virtual assistant in the myVW app, where drivers can explore their owners’ manuals and ask questions, such as, “How do I change a flat tire?” or “What does this digital cockpit indicator light mean?” Users can also use Gemini’s multimodal capabilities to see helpful information and context on indicator lights simply by pointing their smartphone cameras at the dashboard.
  

Employee Agents​

• 704 Apps creates applications serving the last-mile transportation segment, connecting thousands of drivers and passengers every day. During trips, the audio content of conversations between car occupants is sent to Gemini, which measures the emotional “temperature." Specific words such as “robbery”, “assault”, “kidnapping”, among others, can be classified as hostile by the tool, generating alerts to anticipate risky situations before they happen.
  
• Oxa, a developer of software for autonomous vehicles, uses Gemini for Google Workspace to build campaign templates for metrics reporting, write social posts in order to make marketing processes more efficient, create job descriptions, and proofread content across all teams, saving time and resources.
  
• *Rivian uses Google Workspace with Gemini to enhance communication and collaboration across tech and marketing teams, resulting in faster, higher quality work.
  
• Toyota implemented an AI platform using Google Cloud's AI infrastructure to enable factory workers to develop and deploy machine learning models. This led to a reduction of over 10,000 man-hours per year and increased efficiency and productivity.
  
• Uber is using AI agents to help employees be more productive, save time, and be even more effective at work. For customer service representatives, the company launched new tools that summarize communications with users and can even surface context from previous interactions, so front-line staff can be more helpful and effective.
  
• *Uber also uses Google Workspace with Gemini to save time on repetitive tasks, free up developers for higher-value work, reduce their agency spending, and to enhance employee retention.
  

Code Agents​

• *Renault Group’s Ampere, an EV and software subsidiary created in 2023, is using an enterprise version of Gemini Code Assist, built for teams of developers and able to understand a company’s code base, standards, and conventions.
  

Data Agents​

• BMW Group, in collaboration with Monkeyway, developed the AI solution SORDI.ai to optimize industrial planning processes and supply chains with gen AI. This involves scanning assets and using Vertex AI to create 3D models that act as digital twins that perform thousands of simulations to optimize distribution efficiency.
  
• Dematic is using the multimodal features in Vertex AI and Gemini to build end-to-end fulfillment solutions for both ecommerce and omnichannel retailers.
  
• Geotab, a global leader in telematics, uses BigQuery and Vertex AI to analyze billions of data points per day from over 4.6 million vehicles. This enables real-time insights for fleet optimization, driver safety, transportation decarbonization, and macro-scale transportation analytics to drive safer and more sustainable cities.
  
• Kinaxis is building data-driven supply chain solutions to address logistics use cases including scenario modeling, planning, operations management, and automation.
  
• *Nuro, an autonomous driving company, uses vector search in AlloyDB to enable their vehicles to accurately classify objects encountered on the road.
  
• *Picterra, which calls itself a search engine for the physical world, adopted Google Kubernetes Engine to power its platform, providing the ability to quickly scale to meet the demands of geospatial AI workloads. With GKE, Picterra can model the terrain of entire countries quickly, even at ultra-high resolutions.
  
• Prewave, a supply chain risk intelligence platform, utilizes Google Cloud's AI services to provide end-to-end risk monitoring and ESG risk detection for businesses. This enables companies to gain transparency deep into their supply chains, ensuring resilience, sustainability, and compliance with regulations like the European CSDDD.
  
• *TruckHouse specializes in expedition vehicles and speeds inventory tracking with Gemini in Sheets so they can spend more time in the great outdoors.
  
• UPS is building a digital twin of its entire distribution network, so both workers and customers can see where their packages are at any time.
  
• Woven – Toyota's investment in the future of mobility — is partnering with Google to leverage vast amounts of data and AI to enable autonomous driving, supported by thousands of ML workloads on Google Cloud’s AI Hypercomputer. This has resulted in 50% total-cost-of-ownership savings to support automated driving.
  

Business & Professional Services

Customer Agents​

• *Accenture is transforming customer support at a major retailer by offering convenient self-service options through virtual assistants, enhancing the overall customer experience.
  
• *Capgemini is using Google Cloud to build AI agents that help optimize the ecommerce experience by helping retailers accept customer orders through new revenue channels and accelerate the order-to-cash process for digital stores.
  
• *Deloitte offers a “Care Finder” agent, built with Google Cloud, as part of its Agent Fleet. The agent helps care seekers find in-network providers — often in less than a minute — significantly faster than the average call time of five to eight minutes.
  
• Ferret.ai uses AI to offer insights about the backgrounds of people in a user's personal and professional network, providing a curated relationship intelligence and monitoring solution for its users — increasingly important services in a world of growing reputational risks.
  
• *Intuit, the makers of TurboTax, integrated Google Cloud’s visual recognition platform, Doc AI, and Gemini models into Intuit’s proprietary GenOS. This will expand the capabilities of Intuit’s “done-for-you” autofill of tax returns across the ten most common U.S. tax forms (variations of the 1099 and 1040 forms), helping users save time and boosting accuracy.
  
• *Stax AI, which aims to revolutionize retirement planning with AI, uses MongoDB Atlas and Vertex AI to automate its manual processes and transform massive volumes of trust accounting data in minutes.
  
• Sutherland, a leading digital transformation company, is focused on bringing together human expertise and AI, including boosting its client-facing teams by automatically surfacing suggested responses and automating insights in real time.
  
• *Wagestream, a financial wellbeing platform for employee benefits, is using Gemini models to handle more than 80% of its internal customer inquiries, including questions about payment dates, balances, and more.
  
• *WealthAPI, the leading provider of wealth management interfaces in Germany, uses Gemini and DataStax Astra DB to deliver next-gen financial insights in real time to millions of customers for personalized guidance at scale.
  

Employee Agents​

• Allegis Group, a global leader in talent solutions, partnered with TEKsystems to implement AI models to streamline its recruitment process, including automating tasks such as updating candidate profiles, generating job descriptions, and analyzing recruiter-candidate interactions. The implementation resulted in significant improvements in recruiter efficiency and a reduction in technical debt.
  
• *BCG uses Google Cloud to provide a sales optimization tool that improves the effectiveness and impact of insurance advisors.
  
• Cintas is using Vertex AI Search to develop an internal knowledge center for customer service and sales teams to easily find key information.
  
• *Beyond is a technology consultancy that guides their clients through transformational journeys to unlock the potential of AI and cloud-based technology. Google Workspace with Gemini helps them reduce the time from project brief to project kickoff from months to weeks, and the time for first drafts of RFI responses from days to minutes.
  
• Dun & Bradstreet, a business research and intelligence service, built an email-generation tool with Gemini that helps sellers create tailored, personalized communications to prospects and customers for its research services. The company also developed intelligent search capabilities to help users with complex queries like, "Find me all the companies in this area with a high ESG rating."

 

[Vandelay]

Boomers retiring will be replaced by AI Agents that can handle their respective Business Unit functions. You will have a Managerial class made up of Millenials because as you mentioned Gen Z and younger are lol. The issue is Millenials are a large group of people and you don't need that many people with the productivity gains AI "should" yield. So Jobs will exist, "new jobs" will be created but willy you need as many people as we have that are working age?

We will be in a permanent gig economy for the underclass. 1% will have the money. 5% will be the managerial class. Bottom 90% will jockey for random jobs that will honestly be some not so veiled trials and tests to update AI's capabilities.