No Pun Intended: Cloud Adoption in Financial Services Is Soaring
Google AI Agents across Industries
In this article, we look at practical applications of generative artificial intelligence technology based on the latest real-world data released by Google itself.
Technology
Some (but not all) notable clients: Anthropic, Bosch Digital, Bosch SDS, Broadcom, Cognizant, FirefliesAI, Kakao Brain, Meta, Quora, Snapchat, Twilio, Vimeo.
Google AI agents are making life easier for developers. They catch mistakes, suggest fixes, and handle repetitive tasks so teams can write better code faster. Gemini for Google Workspace helps speed up development and reduce errors, while Gemini Code Assist makes it easier to manage large codebases and spot inefficiencies.
What’s more, Google AI isn’t just changing how we code. Hypercomputers are helping companies process massive amounts of information, simplify workflows, and roll out software faster. Google Kubernetes Engine and BigQuery observability tools also help teams keep an eye on their AI systems, fine-tune models, and boost reliability.
Google AI agents are also shaking up research. Patent analysts now have searchable databases that update weekly with hundreds of thousands of new documents. Market researchers use Gemini 1.5 Pro and Flash models to cut through manual requests and get insights faster. And with Vertex AI Search and Conversation, even non-technical users can tap into complex data using natural language.
When it comes to security, threats are evolving fast—but so is AI. Companies are using Vertex AI and Box Content Cloud to detect risks, automate compliance checks, and stop fraud in real time. These tools analyze massive datasets instantly, cutting response times from days to seconds. Keeping sensitive data safe is another priority. Confidential VMs on C3 machines with Intel TDX keep information encrypted even while it’s being processed. Plus, Vertex AI is strengthening security with Zero Trust frameworks that constantly verify access to prevent breaches.
Google Cloud AI agents aren’t just keeping businesses secure—they’re making them more efficient in terms of data management, search speed, and information availability. In finance, for example, Vertex AI can scan long email threads and pull out key details in seconds, reducing busywork and making loan approvals faster. With Jamba 1.5 and Vertex AI, businesses can summarize data, improve reasoning, and generate content more effectively. On top of that, AI-powered analytics boost accuracy while keeping processing costs down.
Sustainability is another area where Google AI agents are making a difference. Google Cloud Kubernetes, BigQuery, and Firebase-powered Cognition engines help companies cut energy use, save money, and reduce their environmental impact. Geospatial AI is also helping organizations understand how their operations affect biodiversity so they can make more responsible choices.
Handling messy, unstructured data is no longer a headache, either. Vertex AI can convert raw text or audio into structured reports on the go, saving time and effort along the way. In healthcare, Google AI-powered workflows are speeding up drug discovery while keeping things transparent and compliant.
Customer service is getting a major upgrade, too. Call centers now use Vertex AI to transcribe conversations and analyze customer sentiment in real time, helping agents respond more effectively. Beyond support, Google AI agents are making digital interactions feel more natural. Businesses are using Vertex AI and Llama 3.1 to create more intelligent, more intuitive conversations. AI-driven recommendation engines, revenue optimization tools, and engagement platforms are all helping companies offer more personalized experiences. Speaking of personalization, AI is also making tech more accessible. Voice commands are making apps easier to use, and real-time translation tools are breaking down language barriers—even converting spoken words into sign language.
Sales and marketing teams are seeing big wins, too. Vertex AI co-pilots analyze business data to help close deals faster, while automated content creation tools keep branding sharp and engaging. AI-driven transcription and meeting analysis tools make teamwork smoother, and digital twin technology is helping retailers fine-tune store operations in real time.
Even security and surveillance are getting smarter. AI-powered agents can monitor CCTV feeds 24/7, flagging anything suspicious and shipping real-time insights. Meanwhile, Google Cloud AI-driven analytics are automating reports and making product education easier.
What’s achievable:
- 2.5x greater engagement
- 71% reduction in technical debt
- 12x accelerated app delivery
- 3x quicker query execution
- 9% enhancement in model accuracy at a 96% accuracy rate
- 15% decrease in processed unit costs
- 12% drop in energy expenses
- 5x shorter time-to-deploy
- 30%+ improvement in developer productivity
- Up to 100x boost in AI application development speed
- 30% uplift in overall productivity
- 55% reduction in environment setup time
- 48% better code performance during unit testing
- 60% in reported focus on more fulfilling work
- 12 hours per week reclaimed for analysts
Retail and Consumer Goods
Some (but not all) notable clients: Best Buy, Carrefour, Estee Lauder, Etsy, Home Depot, Leroy Merlin, L’Oreal, McDonald’s, Mercado Libre, Procter & Gamble, Puma, Shopify, Target, Victoria’s Secret, Wendy’s
Gemini virtual assistants are now handling everything from troubleshooting and order tracking to personalized recommendations. Need help finding the perfect product? Conversational AI makes it easy, while Vertex AI’s smarter search and recommendation engines cut out the guesswork so customers can find exactly what they need—fast.
But AI isn’t just about online—it’s changing the in-store experience, too. Think cashier-free shopping, wider product selections, and better supplier connections that keep shelves stocked with what customers actually want. Personalized promos, AI-powered curbside pickup, and smart ordering systems in quick-service restaurants are making it a lot more convenient, freeing up employees to focus on really great customer service.
In retail, Google Cloud AI agents are becoming a must-have for store associates. They help manage inventory, suggest products, and answer customer questions, making shopping feel better. On the customer service side, auto conversation summaries speed up call times, while product categorization sharpens search results and helps businesses turn browsers into buyers. Over in food service, AI is making operations smoother by automating customer interactions, improving communication, and analyzing data to boost sales and efficiency.
That being said, marketing and e-commerce are getting a serious AI-powered glow-up. Brands can now whip up product descriptions, dynamic ad campaigns, and creative assets in record time. AI-powered tools handle multilingual content, summarize meetings, and fill creative workflows with text-to-text and text-to-image capabilities from LangChain and Cloud Run. The result? More engaging content, better-targeted campaigns, and a whole lot less manual effort.
AI is also tackling supply chain challenges head-on. It fine-tunes demand forecasting, optimizes inventory, and helps businesses make smarter, data-driven decisions. With Vertex AI and BigQuery, companies can predict which products will fly off the shelves, reducing waste and keeping things sustainable. On the customer side, AI-powered search and recommendation systems create a shopping experience that feels tailor-made, while analytics tools give businesses deep insights into customer behavior. In food tech, Vertex AI Forecast is cutting down waste, keeping inventory on point, and boosting profits. Pricing optimization tools crunch big data to help businesses allocate resources better and make smarter calls.
Even software development in retail is getting a boost. Vertex AI-powered code analysis tools make it easier for developers to track changes and improve code quality. And Google AI agents are making a real-world impact—retailers are using security models to spot and stop fraud in real time, keeping transactions secure and customers protected.
What’s achievable:
- 90%+ positive user feedback
- 5% growth in unique products sold
- 30–90 seconds shaved off average call time and after-call work
- 40% boost in efficiency and 20% higher conversion rates
- 30–35% less time spent writing emails
- 30–40 hours of work on product descriptions condensed into just one hour
- 10% uplift in click-through rate
- 43% enhancement in forecasting accuracy
Financial Services
Some (but not all) notable clients: Bank of New York Mellon, BBVA, Charles Schwab, Citi, CME Group, Commerzbank, ING Bank, ROSHN Group, Scotiabank
Whether it’s simplifying banking operations, catching fraud before it hits, or helping traders and real estate pros make better decisions, Google AI agents are giving financial institutions the tools to work smarter while delivering a smoother experience for customers.
One of AI’s biggest wins? Lending and funding. Vertex AI-powered platforms analyze a business’s financial health and match it with the best funding options—no more guesswork, just faster, easier borrowing. Meanwhile, geospatial data combined with Google Places and Vertex AI is making transactional data more accurate, helping banks and finance teams better match merchants to transactions. And when it comes to customer service, generative AI chatbots are cutting down wait times to deliver quick, precise answers—all in a bid to make self-service a breeze. Gemini for Google Workspace helps employees track down information in seconds, automate tedious paperwork, and handle routine tasks in areas like credit analysis, legal, and marketing. AI also helps support teams work more efficiently by pulling real-time insights from policies and procedures so they can resolve issues faster and with more confidence.
Insurance and financial management are seeing huge gains, too. BigQuery and Vertex AI are speeding up risk assessment, underwriting, and claims processing—tasks that used to take a ton of time and manual effort. That way, insurers can cut down on errors and boost efficiency. Google also sharpens fraud detection and optimizes tax assessments to help financial institutions personalize services based on customer needs. In the meantime, collab tools on top of Gemini 1.5 Pro and Flash are automating report generation and surfacing valuable insights from internal data, leading to faster, smarter decision-making.
In commodities trading and banking, Google Cloud AI agents are making predictive analysis more accurate, cleaning up messy data, and improving risk management—helping financial teams navigate complex markets with confidence. Startups and small businesses are also benefiting from AI-driven bookkeeping and financial analysis tools, which simplify accounting and make financial reporting clearer. And over in real estate, AI-powered property platforms are delivering real-time data on site potential, helping investors and developers make better-informed choices.
Apart from finance and operations, AI is taking security to the next level. AI in Google SecOps is making cybersecurity more proactive, detecting and responding to threats in seconds instead of hours. Financial institutions are using AI to predict system failures before they happen, stop fraud in its tracks, and fine-tune security measures for individual customers—keeping transactions safe and businesses ahead of the curve.
What’s achievable:
- 20% quicker email drafting
- 80% fewer errors
- 25% boost in adjuster productivity
- 10% reduction in claims cycle processing time
- From 3 days to minutes—automated and accelerated quoting for complex risks
- 400% improvement in tax management performance
- 100% of data cleaned and unified
- 40% enhancement in data accuracy
- 15% better merchant-to-transaction matching
Media, Marketing, and Gaming
Some (but not all) notable clients: Canva, England’s Football Association, Golden State Warriors, Los Angeles Rams, Major League Baseball, McLaren Racing, Paramount, Square Enix, Spotify, Thomson Reuters, US News, Warner Bros. Discovery
Whether it’s boosting efficiency or delivering hyper-personalized experiences, Google AI agents are changing the game. And in the competitive sports world, AI-driven analytics are giving teams a real advantage, helping them make split-millisecond decisions based on live data—turning tight matches into big wins.
In marketing, Vertex AI is helping brands get more out of their campaigns. AI-powered tools are writing high-converting ad copy, making product descriptions more compelling, and even fine-tuning visuals in real time. Businesses can now personalize content for different audiences on the fly, leading to more engaging marketing, higher ROI, and happier customers.
AI is also making media easier to access and navigate. With Gemini’s multimodal search, users can find specific frames in massive media catalogs in seconds—something that used to take hours or even days. This doesn’t just make life easier for media companies; it also opens new opportunities for monetization.
Sports media is getting an upgrade, too. Google Cloud GenAI-powered apps deliver personalized content recommendations to fans, while media outlets use Vertex AI Search to optimize website performance, boosting traffic and engagement. And in sports scouting, AI-driven analytics are helping teams spot rising talent by sifting through mountains of historical and real-time data.
Vertex AI is also making content more accessible. Automated captioning and subtitling tools are slashing costs and processing times so that global audiences can enjoy content without barriers. Besides, Google AI agents are automating insights, improving customer service, and even managing social media more effectively. And with enterprise-grade security and data privacy built in, businesses can tap into AI’s full potential without compromising trust.
What’s achievable:
- From 2 hours to 2 minutes—race commentary condensed into a multilingual podcast
- Double-digit growth in key metrics like click-through rate, time on page, and traffic volume
- 50% lower captioning costs and 80% less manual effort required
- 1.8x faster inference speed with a 28% drop in inference costs
- 20% rise in email open rates and a 10% boost in retention
Travel and Hospitality
Some (but not all) notable clients: Agoda, Alaska Airlines, Radisson Hotel Group
Whether you’re planning a dream vacation, searching for the perfect hotel, or needing support on the go, AI is working behind the scenes.
One of the biggest shifts is interaction with customers. Google Cloud AI chatbots now handle bookings just like a friendly travel agent—no more clunky online forms. These smart assistants provide instant support, answer questions, solve issues, and offer self-serve options. Meaning shorter wait times, smoother travel planning, and a far less frustrating experience.
At the same time, hotels and travel apps are learning what guests like and offering personalized recommendations for unique destinations, curated itineraries, and customized room preferences. Even theme parks are tapping into AI to keep lines moving, provide real-time assistance, and make visits more enjoyable.
On the marketing side, Imagen and Veo on Vertex AI are helping travel companies create stunning visuals and highly targeted ads, making it easier to connect with the right travelers at the right time. Meanwhile, Vertex AI Search-powered tools let users find the perfect flight or hotel with simple, natural-language searches, cutting out the endless scrolling.
One of Google Cloud AI agents’ most powerful abilities, though, is predicting traveler needs before they even ask. Having the opportunity to analyze past data, businesses can have their answers ready, adjust operations, and bring down the number of customer service calls, all of which translates to smoother journeys and happier travelers.
What’s achievable:
- 80% plummet in calls from new arrivals
- 50% increase in ad team productivity, with AI-powered campaigns driving 20%+ higher revenue
Healthcare and Life Sciences
Some (but not all) notable clients: Bayer, Genial Care, HCA Healthcare, Mayo Clinic
From improving diagnostics and patient care to accelerating drug discovery and automating tedious admin work, Google AI agents are helping medical professionals focus on what really matters—delivering better care and improving patient outcomes.
AI-powered tools are making early disease detection faster and more accurate. Doctors can now catch serious conditions like cancer through simple blood tests, giving patients a crucial head start on treatment. In specialized care, Vertex AI is helping children with Autism Spectrum Disorder by enhancing record-keeping and monitoring to make sure they receive more personalized and effective therapy.
Rehabilitation is also getting a significant upgrade. AI and neurotechnology are working together to help patients regain motor function and manage pain using digital brain modeling powered by Google Cloud and Gemini. AI-driven clinical systems are bringing together scattered medical records, giving doctors a clearer, more complete view of a patient’s health history. Even fertility treatments are seeing breakthroughs—machine learning is improving IVF success rates by analyzing embryo viability with greater precision.
But Google AI agents aren’t just changing patient care—they’re making the entire healthcare system run more smoothly. It’s about cutting down on paperwork and automating administrative tasks so doctors and nurses can spend quality time with patients instead of being buried in forms. AI speeds up employee onboarding, simplifies credentialing, and even takes the hassle out of documentation. Meanwhile, AI chatbots and virtual assistants are making appointment scheduling and even donor recruitment easier.
In insurance and compliance, Google Cloud’s Document AI and Gemini AI are automating insurance verification, reducing errors, and ensuring organizations stay on top of regulatory requirements. The result? Less red tape, fewer delays, and a smoother experience for patients and providers alike.
Google AI is also pushing drug discovery and medical research forward at record speed. It’s helping scientists design new proteins, analyze massive amounts of biomedical data, and automate lab processes, bringing down the time and cost of developing new treatments. Google Health-based platforms are making large-scale disease screenings more efficient, helping doctors detect conditions like tuberculosis and breast cancer earlier and on a larger scale.
In their turn, researchers are using Gemini and Vertex AI to find hidden connections in scientific literature, leading to more effective treatments. And in biosecurity and biological engineering, AI-powered analysis on Google Kubernetes Engine is mapping protein structures at unprecedented speed, paving the way for groundbreaking new therapies.
With more healthcare data moving online, security is a top priority. AI-powered security frameworks like Zero Trust models in Google Workspace are keeping sensitive PII locked down with advanced access controls. AI is also making cybersecurity stronger and faster—analyzing threats in real time, cutting response times from days to seconds, and stopping potential breaches before they happen.
What’s achievable:
- From 3 days to 12 hours—facilitated employee onboarding
- From days to seconds—cybersecurity analysis accelerated
- From 2 minutes to 10 seconds—dramatically reduced query time
- Millions of dollars in estimated ROI
- 13% boost in productivity with 100% of patient summaries AI-generated
- 50 petabytes of clinical data made accessible to researchers
About Us
As a global Google Cloud Premier Partner, Cloudfresh offers a whole suite of Google Cloud AI services—be it Vertex AI, Dialogflow, NotebookLM, Agent Builder, or Gemini in Cloud/Security/Workspace. We can help you design and implement intelligent document processing (IDP), retail demand forecasting, customer sentiment analysis, and much, much more—anything you can think of, really. As a customer, you can count on tailored trial and test integration, fast deployment, custom solution mapping, and ongoing support in line with the SLAs.
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