[Music] at Google AI isn't a tomorrow thing it's a today thing and sure we can ask for answers to Life's tough questions but today we can also ask it to do tough things like ship that wood more efficiently use satellites to reduce methane emissions turn DNA into code to make drought resistant corn oh cool it can spot and fill poles spot disease earlier spot asteroids to protect Earth it can create apps with just words in just hours today Google AI can scan 100,000 lines of code in 2 minutes to spot and fix bugs it can translate from code to code and is one step closer to speaking a thousand languages even way today AI impacts lives for the better and understands the world the way you do R AI spots threat seven times faster understands speech sentiment helps prevent vision loss predicts weather 10 days out in 2 minutes translates thousands of pages in second detects lead pipes to keep drinking water clean eliminates paperwork so cares more human generates from text visuals audio and video creates entire worlds from your imagination creates this thing and that thing a new thing the new way to Cloud please welcome our CEO of Google Cloud Thomas curan [Applause] [Music] wow welcome everyone to Google Cloud next it's been less than eight months since next 2023 but we made a world of progress with all of you we've introduced over a thousand product advances across Google cloud and Google workspace expanding our infrastructure footprint to 40 regions including Dam and Johannesburg and announcing six new subc cable Investments been recognized as a leader in 20 industry analyst evaluations in just the last year and more than a million developers now use a state-of-the-art generative AI in popular tools including Google AI Studio vertex AI collab vs code jet brains repet and many more our Genna trainings have been taken over millions of times and our services Partners have taken over half million gen courses and we've seen great success with customers and partners making us the fastest growing cloud provider let's hear Sundar put this interesting time in our industry into context [Applause] hi everyone welcome to Las Vegas and to Google Cloud next I'm told I'm on a very large screen right now so I'm just going to imagine this is my audition to play this sphere we were last together in San Francisco in August as we all know months can feel more like decades in Cloud time just think about it in the context of generative AI last summer we were just beginning to imagine how this technology could transform businesses and today that transformation is well underway we have seen incredible momentum in the cloud business since then last quarter Cloud was at the $36 billion annual revenue run rate that's five times our run rate 5 years ago congrats to Thomas and team and a huge thanks to all of our customers and partners I want to highlight highlight just a few reasons Google cloud is showing so much progress one is our deep investments in AI we have known for a while that AI will transform every industry and Company including our own that's why we've been building AI infrastructure for over a decade including tpus now in their fifth generation these advancements have helped customers train and serve Cutting Edge language models these Investments put us at the Forefront of the AI platform shift and we are proud that today more than 60% of fund generative AI startups and nearly 90% of gen unicorns are Google Cloud customers we also continue to build capable AI models to make products like search maps and Android radically more helpful in December we took our next big step with Gemini our largest and most capable model yet we've been bringing it to our products and to Enterprise and developers through our apis we've already introduced our next Generation Gemini 1.5 Pro it's been in private preview in vertex AI 1.5 Pro shows dramatically enhanced performance and includes a breakthrough in Long context understanding that means it can run 1 million tokens of information consistently opening up new possibilities for Enterprises to create discover and build using AI there's also Gemini multimodel capabilities which can process audio video text code and more with these two advances Enterprises can do things today that just weren't possible with AI before for example a gaming company could now offer video analysis to support players including tips to improve performance or an insurance company could combine video images and text to create an incident report and autom the claims process we are excited to bring our Decades of innovation and research to our customers as you pursue your own opportunities with AI to grow and evolve you will hear from hundreds of companies using Google AI to do just that here at Cloud next that includes four CEOs of iconic companies from around the world David solman who will share how Goldman Sachs is using AI to synthesize complex information quickly without compromising quality Ola kalenius who share how Mercedes-Benz is building intuitive new experiences for drivers Dar Kasra Shahi will share how Uber is using AI to empower employees and improve customer experiences and Nik aora who will share how paloalto networks is using generative AI to find the security needle in the data Hast stack we've had the honor of working with these compan companies for years and we looking forward to this next chapter and to seeing how AI will help all of you transform your businesses and innovate today and for the future with that I'll turn it back to Thomas enjoy the rest of the show thank you Sundar since last year's next we've announced Partnerships with hundreds of leading customers companies like anthropic AI 21 Labs contextual AI essential Ai and Mistral AI are using Google Cloud infrastructure leading Enterprises like McDonald's Deutsche Bank the Mayo Clinic HCA Healthcare us steel and many many more are building amazing new generative AI apps and experiences on Google Cloud just yesterday cintos shared how they use Gemini models in vert X AI to search their extensive library of contracts documents and products looking at next by the Numbers there's 3 thou 30,000 people live here today 2,000 Google experts over 2500 partners and nearly 400 sponsors a special thanks to all luminary sponsors Accenture Cap Gemini cognizant deoy and paloalto networks and there are over 300 customers and partners sharing their generative AI success stories at this event today we're going to focus on how Google is helping leading companies transform their operations and become digital and AI leaders which is the new way to Cloud we have many important advant an es starting with our infrastructure with the first leading hyperscaler to Market with Intel fifth generation Zeon processors continuing to lead in price performance Google distributed cloud and Edge brings compute data Ai and isvs to highly confidential and Edge workloads across Cloud networking allows you to connect any service including our AI service to any application on any Cloud securely with lower cost and latency including all of our AI Services databases have enhancements to allo DB big table and Firebase to improve reliability performance and scalability big query is evolving to a unified endtoend platform for data anal analytics with a unified user interface unified security and governance our security products include the introduction of chrome Enterprise premium browser for greater security and control for Enterprises along with major advances in our next Generation firewall Cloud armor and confidential compute workspace is introducing enhanced security extension models a new chat plus meat offering along with the best voice quality in the industry with Google meet and that's just the tip of the Ice book there's a whole lot more our biggest announcements today are focused on generative AI you know customers have quickly gone from experimenting with generative AI helping it to answer questions to make a AI predictions and and are now building generative AI agents agents are intelligent entities that take action to help you achieve specific goals for example helping a shopper find the perfect dress helping an employee pick the right health benefits or having nursing staff being helped to expedite patient handoffs when shifts change agents process multimodal information simultaneously ly conversing reasoning learning and making decisions agents can connect with other agents and with humans and they will transform how each of you interact with Computing devices and the web itself you know our customers are building early versions of AI agents using our AI infrastructure our Gemini models vertex AI workspace and Google Cloud an AI is transforming many Industries Goldman Sachs is at The Cutting Edge of technology in financial services please welcome their chairman and CEO David Solomon it's been a fascinating Journey recently with AI technology we've seen rapid Innovation and we're now at a stage where practical application of the technology is showing the potential to yield real value for the business at Goldman Sachs specifically our work with generative AI has really been focused on three key pillars enabling business growth and enhancing client experience improving de developer productivity and increasing operating efficiency across the firm we want to be thoughtful in how we approach and harness this technology both as a mechanism to drive efficiency and as an enabler of disruption and differentiation for our clients we're already seeing signs of Promise in a few areas of our experimentation and we're very optimistic about that there's evidence that generative AI tools for assisted coding can boost developer efficiency and productivity by as much as 40% and we're exploring different ways to use AI whether it's to summarize public filings extract sentiment and signals from corporate statements or to gather and interpret information like earnings reports we have a worldclass team of Engineers working on this and we've already learned a lot I'm super excited to see what's next thank you David we're grateful for your partnership and progress building with our complete open and integrated AI platform which includes our AI hypercomp computer an integrated and optimized system that leads the industry in cost performance productivity and scale for AI training and serving our foundation model Gemini which has advanced reasoning skills with multimodal information we're the only Cloud to offer widely used first party thirdparty and open source models vertex AI to access tune augment and deploy custom models and to build agents Gemini for Google Cloud which helps with every aspect of Google Cloud including writing code for any environment and Gemini for workspace which is the agent we built right into Gmail Google Docs sheets and more with Enterprise grade security and privacy and we offer integrated partner Solutions at every single layer of the stack let's start by looking at our AI infrastructure please welcome Aman vat [Music] supporting the promise of generative AI from building World leading multimodal models to serving them requires harnessing Computing and data at a scale never imagined before in fact we are seeing Computing demands of large language models grow by up to a factor of 10 times every year that is why we have designed and built AI hypercomp Compu an orchestra of hardware and software from programming languages to compilers runtime serving Stacks to the chips and networks that make it all possible at an unprecedented scale the system level integration is up to 2x more efficient at scale relative to Baseline solutions that simply deliver raw hardware and chips the combination of our vision and execution has been broadly recognized as one example we were just recognized as the leader and Foresters AI infrastructure Solutions wave in offering and in strategy but we're continuing to introduce new enhancements at every layer of the stack first we have the leading portfolio of performance optimized accelerators including Google design tpus and Nvidia gpus today we're announcing several enhancements to our GPU portfolio including the upcoming General availability of A3 Mega powered by Nvidia h100 tensor core gpus with twice the network bandwidth per GPU compared to A3 instances the rate of progress with Nvidia gpus is truly astonishing today we are announcing support for nvidia's newest Grace Blackwell generation of gpus coming to Google Cloud early in 2025 the Nvidia b200 and gb200 chips are both powered by Next Generation Nvidia networking G gb200 will be among the most advanced chips on the planet and will require liquid cooling to operate at Peak efficiency finally we're also announcing the general availability of TPU v5p our most powerful and scalable TPU our latest generation TPU pot consists of 8,960 chips interconnected to support the largest scale ml training and serving our TPU v5p pods to 4X the compute capacity per pod compared to our previous generation and with TPU multi slice technology you can simultaneously and transparently run across multiple pods for your most demanding workloads in fact we train and serve our latest Gemini models on our tpus to improve AI training and inference speeds we've added a number of enhancements to our storage products specifically today we're accelerating inference with Hyper disc ml our next Generation block storage service optimized for AI inference and serving workloads it accelerates model low times up to 11.9 X compared to Common Alternatives and offers over 100 times greater throughput per volume versus competitors and for ML developers we continue to optimize open and leading ml Frameworks like Jacks pytorch and tensorflow for use with both vertex and GK K Jax an open source partnership that includes Nvidia AMD Intel and many others has emerged as the leading framework for the most advanced ml practitioners it allows developers to focus on the training logic declaratively rather than partitioning code manually our xlaa compiler then generates code for a range of GPU and TPU Targets in fact over the last year the use of gpus and tpus on gke has grown more than 900% finally with data intensive workloads like AI efficient resource management is vital today we are launching two new options for dynamic workload scheduler our resource management and job scheduling tool calendar mode for start time assurance and flex start for optimized economics in combination these make a massive impact on system throughput and on cost efficiency overall we find that our AI hypercomp Compu can run with more than twice the effective efficiency relative to Baseline Hardware only techniques leading companies like anthropic have trained and served models on our AI hypercomp computer and kaca brain part of Korean technology company kaca group has built a large scale AI language model that is the largest Korean language specific llm in the market with 66 billion parameters they've also developed the Tex image generator called Carlo we are also bringing AI closer to where the data is being generated and consumed to the edge to air gaap en environments to Google Sovereign clouds and cross Cloud through Google distributed Cloud today we are announcing that we are adding Nvidia GPU support adding gke capabilities for AI workloads and enabling a variety of open AI models to run on GDC including Gemma and llama we are bringing the power of vector search to allow search and information retrieval applications for private and sensitive data for your most stringent regulatory requirements we deliver fully airgap configurations with local operators of your choice you have complete control of your data including location encryption and access control and GDC now has both secret and top secret accreditations mobile provider orange operates in 26 different countries where local data must be kept in each country they are using AI on GDC to improve Network performance and to deliver super responsive translation capabilities AI systems run a concert with traditional Computing systems Google has a long history of Designing processor systems including tpus for AI since 2013 VCU for efficient video transcoding and tensor processors and phones and today we're thrilled to share something very special with you but there's another person who's just as excited as I am we're delighted to announce the Google axian processor it's our first custom Arm based CPU designed for the data center and it'll be available in preview later this year Google axan Google a in combines Google's expertise with Al's latest compute core designs to better deliver up to 50% better performance and up to 60% better Energy Efficiency than comparable current generation x86 based VMS that's why we've already started deploying at scale Google services on Arm based instances including spanner big Cory gke Google Earth engine and the YouTube ads platform now let's dive into vertex AI our fast growing Enterprise AI platform in our vertex AI model Garden you can access over 130 models including the latest versions of Gemini partner models like Claude from anthropic and popular open models including llama Gemma and Mistral in a variety of configurations you choose the best model for your use case budget and performance needs and switch between models as you need to get today we're taking Gemini 1.5 Pro into public preview Gemini offers the world's largest context window with support for up to 1 million tokens with Gemini 1.5 Pro customers can now process vast amounts of information in a single stream including 1 hour video 11 hours of audio code basis will well over 30,000 lines of code and over 700,000 words we're enhancing Gemini 1.5 Pro with the ability process audio enabling cross modality analysis for instance you can use it to search in audio and video content for example find a Tim stamp in a baseball game video where a commentator says it's out of here we've seen some amazing examples of what people can do with this large context window Sunda mentioned a few and others include a university Professor is using it to extract data from a 3,000 page document with texts data tables and charts in just a single shot a financial services company is using it to search analyze understand and answer questions in complex merge and acquisition documents a startup founder is using it to understand code bases to identify critical issues and Implement fixes and a sports technology company that provides AI enabled cameras lets users query their videos to evaluate plays or find key moments keep them coming today Cloud 3 Sonet Claud 3 H cou and Tropic state-of-the-art models are generally available on vertex AI with claw Opus available in the coming weeks we're also announcing the availability of code Gemma a fine-tuned lightweight open model designed for coding from the same technology used to create Gemini with these additions Google Cloud continues to be the only cloud provider to offer widely used first party third parties and open source models vertex AI can be used to tune augment manage and monitor these models we provide a variety of tuning and customization techniques fine tuning reinforcement learning with Fe human feedback low rank adaptation distillation and more to make it easier for all of you today we're introducing supervised adapter-based fine tuning so you can customize Gemini in an efficient lower cost way to augment models vertex AI provides managed tooling to connect your model to Enterprise applications and database using extensions and function calling vertex also provides retrieval augmented generation combining the strengths of retrieval and generative models to provide high quality personalized answers and recommendations vertex can augment models with up-to-date Knowledge from the web and from your organization combining generative AI with your Enterprise truth today we have a really important announcement you can now ground with Google search perhaps the World perhaps the world's most trusted source of factual information with a deep understanding of the world's knowledge grounding Gemini's responses with Google search improves response quality and significantly reduces hallucination second we're also making made easy to ground your models with data from your Enterprise databases and applications and any database anywhere once you've chosen the right model tuned it and connected it with your Enterprise truth vertex's ml Ops can help you manage and monitor models for instance we're introducing new prompt management tools today to help developers collaborate on prompts with not and status to track changes compare response quality from different prompts you can evaluate and improve response quality with the general availability of our automatic side bys side feature which provides explanations of why one response outperforms another and certainty scores for model accuracy our rapid evaluation feature which is now in preview let you quickly evaluate models and smaller data sets an example generali Italia Italy's largest insurance provider use vertex AI to build a model evaluation pipeline that helps its ml teams quickly evaluate performance and deploy models to make it easy for all of you developers to access Gemini and other models on vtex AI we built integration with many part Partners including hugging face and repet they now allow you to access the models within isv applications in popular development tools and from applications running on any cloud with all this vertex AI is the only AI platform to provide a single platform for model tooling and infrastructure now let's look at the types of Agents customers are building on Google Cloud using generative AI first customer agents you know similar to great sales and service people customer agents are able to listen carefully understand your needs recommend the right products and services they work seamlessly across all your channels the web your mobile app your point of sale and your call center and they can be integrated into product experiences with voice and video mercedesbenz is working with us on customer agents to help people in their amazing cars let's hear from their CEO Ola Kines [Music] [Applause] [Music] at Mercedes-Benz we want to offer our customers an exceptional digital experience that's why we're equipping our cars with high-end computers each car should only get better over time just like a good wine and with the power of Google cloud and AI we will make the user experience even more personalized our partnership across Google helps us build more intuitive and customized experiences last year we announced our partnership with Google Maps and today more than 3 million customers are using Google places in their Mercedes cars and we are applying Google Cloud AI across a number of other use cases ranging from a smart sales assistant improving customer service in our call centers and optimizing our marketing the sales assistant for example helps customers to seamlessly interact with Mercedes when booking a test drive or navigating through mercedes's offerings to find their next favorite vehicle and now we're exploring further opportunities to work with Google Cloud AI such as Next Level navigation features in addition we're partnering on one of the most exciting technology topics in our industry automated driving this beautiful car right here is equipped with a level three system for conditionally automated driving living we were the first manufacturer to get it certified in Germany California and Nevada for our next Generation internal development and test platform we will use Google Cloud as the backbone helping us to become even more efficient and flexible in our product development and Google Cloud's expert knowledge in processing massive amounts of data and scaling AI workloads will ensure that our cars get even more intelligent and Aid driven partnering with the very best in their respective Fields is an important part of our software strategy and Google is the perfect example of that with Google Cloud Mercedes-Benz is building new ways to deliver the most intelligent vehicles to our customers and to create personalized intuitive experiences we're really excited about working together thank you for having me [Applause] thanks Sola and team in addition to these great Innovations we're very excited to collaborate with Mercedes-Benz and work towards bringing Gemini models to their in vehicle conversational system another great example is Samsung who's deploying Gemini Pro and imagine on vertex AI to the Galaxy s24 smartphones users can now take ADV advantage of amazing features text summarization organization and magical image editing Gemini Pro also provides Samsung with critical Google Cloud features including security safety privacy and data compliance we're inspired by the agents our customers are creating using our gen generative AI platform and our models InterContinental Hotels group will launch a travel planning capability to help each of you their guests plan their next vacation ADT is building an agent to help customers select and set up home security systems Verizon gives agents better recommendations magalo one of Brazil's largest retailers has put generative AI right at the heart of its customer service ing built a chatbot to enhance self-service and improve answer quality and Target uses a I on the Target app and website to personalize offers for Target Circle and Starbucks at drive up Minnesota's Department of Public Safety helps non-english speakers get licenses and other services with real-time translation Best Buy is building an assistant that will help troubleshoot product issues reschedule or combine order deliveries or manage software discover Financial Services is using search and synthesis across detail policies and procedures during customer service calls and orangis French language agent is grounded in support knowledge transforming their help and contact site and their customer experience Oppo and OnePlus leaders in smart devices are incorporating our Gemini models and Google Cloud AI into their phone to deliver Innovative customer experiences including news audio recording summaries AI toolbox and much much more you know the opportunity for customer agents is tremendous to help each of you build customer agents faster we're introducing vertex AI agent Builder you can now create customer agents that are amazingly powerful in just three key steps first you can use Gemini Pro to create free flowing humanlike conversations with text voice images and video as inputs and personalize them with custom voice models second you can use natural language instructions to control the conversation flow and guide it on specific topics you don't want it to dis discuss such as current events in the same way that you train your human agents you can also control when it hands over to a human agent with transcription and summarization of its conversation history to make these transitions extremely smooth third you can improve response quality with vector-based and keyword-based search to connect your internal information and the entire web you can also use EXT itions to complete tasks for customers like updating contact information booking a flight ordering food and many more and you can integrate Enterprise data from operational databases like allo DB Predictive Analytics with big quy and SAS applications like service now let's take a look at an example of a customer agent in action please welcome developer Advocate Amanda Lewis thank you Thomas so last night I was watching a video of this band and I love the keyboard player shirt so I was thinking I'd really like to be wearing that shirt tomorrow night but can I find it in my size and in time to be rocking it at the concert here in Vegas let's head over to my favorite store symol Fashion they just launched a customer agent and and it leverages Gemini and Vector search to deliver a seamless shopping experience what can we help you find well I'd like that shirt but I guess I have a few other specifications as well so find me a checkered shirt like the keyboard player is wearing I'd like to see prices where to buy it and how soon can I be wearing it going to include the video now the customer agent is using Gemini's multimodal reasoning to analyze the text and video to identify exactly what I'm looking for then Gemini turns it into a searchable format okay how cool is this it found the checkered shirt I'm looking for right and some other great options in no time and that's because these results harness Google's trusted search Technologies which ensures customers like me get the right results in record time the suggested products are grounded in symbol Fashions inventory and historical performance data to make sure customers leave happy and with that purchase in hand okay the first one is perfect it looks like I can have it delivered in 4 days or pick it up nearby today like I said I want to be wearing it tomorrow night so I'm going to go with the local store to be safe of course it never fails they only have three left in my size I don't want to miss out on wearing this shirt so I'm going to go ahead give the store a call and ask them to set it aside for me but first let me tell you what's happening behind behind the scenes symol Fashions customer agent is using Google Cloud's full Suite of AI capabilities to offer customized support interactions you know facilitate transactions like purchases and returns and ensure that I'm receiving the most up-to-date information in real time I'm so close to having this shirt for the concert let's give the store a call hi there this is the symbol fashion customer agent at South Las Vegas Boulevard am I speaking with Amanda yes this is Amanda great thanks for reaching out Amanda I see you had a session on another device I've sent you an SMS message with a link to our live chat companion if you would like to switch to chat please click the link how can I help you today I'd like to purchase the shirt in my cart with the card I have on file absolutely I see you're also a symbol fashion Rewards member looks like you have a 20% off voucher available to use would you like to apply it to this purchase yes please that would be great the shirt you're purchasing goes well with these items also available for pickup in your preferred size would any of these be interesting to you absolutely please add the white shirt and the boots to my cart great your total is $23.76 okay to proceed with the card on file yes your purchase is confirmed do you need anything else today no I'm all set thank you incredible thank you for shopping with symbol fashion you'll get a text when the items are ready for you in less than 5 minutes I was able to find and order the shirt I wanted and an outfit to match I'm ready for the concert back to you Thomas thank you Amanda that was awesome now let's talk about employee agents many of our customers are building employee agents using Gemini for Google workspace and vertex AI to help their employees be more productive and work better together for hundreds of millions of people around the world Uber is an essential mobile app that makes it easy to get a ride or a Home Delivery there are many complex processes that must run smoothly behind the scenes for Uber to keep providing its magical user experiences we talked with DAR kostra Shahi the CEO of uber and learned more about how they're building AI agents to help help [Music] everyone generative AI opens up opportunities across all parts of our business but the opportunity I'm particularly excited about is develop and employee productivity our partnership with Google cloud is helping us create a stronger and more empowered Workforce Gemini for Google workspace helps us save time on repetitive tasks frees up Developers for higher value work reduces our agency spending and enhances employee retention we're also using Google Cloud's AI platform to build our own AI agents to help our support teams better help our customers for Frontline support we've launched new tools that intelligently summarize user Communications and surface context from previous interactions anything that helps our teams go faster helps our platform go faster so our customers can get where they want to go or what they want to get delivered all at Uber speed with Google Cloud Uber is creating new ways to empower Workforce and better Ser a customers thanks for having me [Music] please welcome vice president and general manager of Google workspace apara [Music] Papu hello everyone Gemini for Google workspace is our AI powered agent built right into Gmail docs sheets and more Gemini doesn't just help our customers be more productive it's a member of their team need a quick answer on something just ask Gemini need a world-class notetaker in an important meeting bring Gemini along need insights from a dozen analyst reports Gemini is your research partner customers really appreciate the quality of output that Gemini for workspace provides More than 70% of help me write users in Google Docs and Gmail accept Gemini suggestions and more than 75% of people who have created images and slides insert them into their presentations we're seeing the impact of this every day with our customers pepperine university has students and faculty who speak many languages Gemini in Google meet enables realtime translated captioning and notes PennyMac is accelerating recruiting hiring and new employee onboarding and Woolworth the leading retailer in Australia is seeking to unlock greater productivity for over 10,000 administrative employees by providing them with Gemini for Google workspace now today we have quite a few announcements with Gemini for workspace first many customers have asked for a way to get AI powered Google meet and chat companywide at a lower price particularly to move away from zoom in a recent benchmarking study that tested the top video conferencing applications Google meet outperformed Microsoft teams zoom and WebEx in overall video and audio performance so we're announcing the AI meetings and messaging add-on with take notes for me chat summarization and realtime translation and it will only cost $10 per user per month second we're making AI powered data protection available with our brand new AI security add-on now workspace admins can automatically classify and protect sensitive files and data using privacy preserving AI models trained for their organization third Gemini and chat can now catch you up on long conversation threads summarize decisions and be a real-time creative partner let's have product lead for workspace collaboration apps Christina bear give you a quick look at Gemini for workspace thanks apara there are lots of ways Gemini for workspace is helping our customers save time let me show you the magic of one example in action I've been asked to evaluate proposals for a new payroll system I open up my drive and I see that there are two statements of work here or SS that outline the vendor proposals Google Drive is AI ready without any additional pre-work and everything here is protected with our industry leading security all I need to do to get started is drag and drop the two files over into the Gemini side panel which is currently in preview in just a few seconds Gemini for workspace will give me an out out line of these proposals so that I can have a good idea of what they're about and I could go even further and ask compare the uh the price let's see price of the two offers each page is each of these documents is over 70 Pages it would have taken me hours to review these docs but instead Gemini is going to help me find a clean answer to save me a ton of time and as you can see I have the answer right here in the Gemini side panel let's go ahead and dive into one of these proposals so I'm going to pick this one one of the things that you'll notice about Gemini in docs is that it will proactively show me a summary of this file so that I can get a sense of what's going on without needing to take the time to read the whole thing but before I proceed with this vendor I need to ensure that no compliance issues exist and I'm going to be honest I have not memorized every rule in our compliance rule book because it is over a 100 pages I would have to need to scour the 80 pages of this proposal and compare it manually with 100 pages of the rulebook so instead in the side panel I ask does this offer comply oops with the following and I'm going to at mention our compliance rule book hit enter and see what Gemini has to say Okay so so interesting Gemini has found an issue because the supplier does not list their security certifications because Gemini is grounded in my company's data with Source citations to specific files I can trust this response and start to troubleshoot before selecting a vendor Gemini for workspace was terrific in this example saving me a lot of time without compromising on accuracy and this technology can be applied in so many other use cases a sales team analyzing rfps a recruiter developing interview questions and so much more back to youa thank you Christina many of our customers are building employee agents to automate workflows that are tedious and repetitive for example Bristol Meers squib is transforming its document processing for clinical trials something that took scientist weeks now takes them just minutes to get a first draft Dasa the largest Medical Diagnostic company in Brazil is helping Physicians detect relevant findings in test results southernland a digital transformation company is boosting its customer service by suggesting better responses and automating insights an employee agents can work across people and teams to complete a task one of the nation's leading Healthcare Providers HCA Healthcare is using our generative AI technology to help caregivers spend more time with patients and less on paperwork they're testing Katie so Katie is a nurse handoff digital assistant helping to ensure continuity of care when one caregiver shift ends and another begins it delivers summaries in everyday life language to ensure that caregivers can share information easily and provides them up to the minute patient data to expedite the discharge process it also helps prepare patients for Recovery at home by simplifying post- discharge tasks like postop physical therapy and more Victoria Secret in company is looking to help inore Associates offer tailored recommendations to customers the Home Depot app called sidekick helps store associates manage inventory and keep shell stocked Etsy uses vertex aai to improve search provide more personalized recommendations to buyers optimize their ad models and increase the accuracy of delivery dates vertex AI especially when combined with workspace let you create powerful employee agents first you create a custom model in the ways that we've shown before from there you connect them to all your company and web data this can also be done with translation so that your company information is available regardless of language similarly we support multimodal inputs including videos call Audio images in addition to text now you will want to ground that in Enterprise truth using databases like alloy DB big query and data from Enterprise apps like sap and announcing today HubSpot let's take a look at an example of an employee agent in action please welcome developer Advocate Gabe Vice thanks Lea hi folks so I know you all want to hear about awesome AI stuff that's coming but I need to talk to you for a minute about my annual benefits enrollment see I forgot I have to finish signing up by today and as you can see I might be a little bit busy so if you don't mind let's go ahead and look at this open enrollment email together okay yep I've got a deadline I knew that thank you I've got FSA stuff I've got an online portal for my company HR Ben okay there's a lot here uh H they included video let's see if this makes my life easier and the video is ah okay so it's almost an hour long yeah I'm not going to have time to review all of this stuff let's see how this employee agent that we've developed using Google workspace Gemini models and vertex AI might be able to help me as you can see it's integrated directly into my Google Chat so I don't have to contact switch while I'm figuring all this stuff out first things first let's have it summarize the email and the video that it sent me summarize the body and attached video from my recent email with subject open enrollment closing so behind the scenes the agent is referencing that email body and its attachments as context in the prompt using retrieval augmented generation that way its response is limited to the content that matters to me the Gemini models multimodal capabilities allows the agent to understand and reason across text audio and video from a single prompt I mean this is a way quicker read okay good and I can immediately see that the medical plant have been completely revamp this year let's go ahead and jump into the benefits portal to see more now I've already done my dental and my vision but I procrastinate I mean saved the most important plan for last my medical plan let's see how this option Stacks against my existing coverage compare these coverage options to the PDF doc I have on the Platinum plan the the Gemini model's long context window paired with vertex extensions enables the agent to cross reference large amounts of data from a variety of sources including unstructured data like PDFs leveraging Gemini's Advanced reasoning capabilities the agent is able to understand the complex details of my current plan and compare it with the new options for 2025 and since the Enterprise grounding features links me to the exact data that Gemini used to draw its conclusions which you can see linked here I can confidently trust its recommendation that the gold plan is best for me and done so now let's get a summary of my coverage let's say my house is multilingual so I'd like to have it in Japanese also please generate a summary of 2025 benefits in a Google doc in both English and Japanese although my source material is in English the Gemini models support for over 40 languages enables it to understand and respond in Japanese and here we go by engaging with employees in their native language the agent can help everyone feel comfortable navigating their Healthcare needs for the next year so one last thing now that I've officially completed enrollment my daughter's going to need braces this year let's use the agent to help me find the right orthodontist my daughter will need braces this year help me find the best in network orthodontist near my home with vertex extensions the Gemini model can integrate with any external or internal API this allows the agent to join my dental coverage details directly with real-time Google Maps and places data to help deter determine the best ranked in network providers near me taking a quick look at my options okay so it looks like symbol Orthodontics is the only one that offers Saturday appointments which works best for my family schedule but what do I really know about them how do I know that the agent actually picked the best orthodontists because the Gemini model natively supports grounding with Google search I can see what the agent found summarizing saving me hours of scouring the internet for fresh information the best part is I can get The annotation to see where the information came from which means if I want to look for myself I can I have great places to start and a quick scan of the summary shows me that they're great with kids which is great I particularly love this customer review I'll go with them let's schedule a call I don't know how it's going to find a schedule though I mean I'm here the agent knows that I'm at Google Cloud next because it's integrated with Google Calendar and it can find a time to schedule the call yes please awesome I've got a call do I need anything else nope I'm good no thanks perfect nice and easy just imagine what else an employee agent can help you with thanks back to you apara that was great next up creative agents jbi is transforming how marketing teams are creating content personal izing it and making realtime campaign adjustments creative agents can supercharge your design and production teams working across images slides and other modalities we're seeing really interesting creative Agents from customers for example car 4 one of the world's leading food retailers is pioneering new ways to use generative AI for marketing Now using vertex AI they were able to deploy car 4 marketing studio in just 5 weeks an Innovative solution to streamline the process of creating Dynamic campaigns across various social networks empowering the marketing teams to efficiently promote products and engage with their target audience in just a few clicks they can build Ultra personalized campaigns to deliver customers advertising that they care about other customers such as C canva are using vertex AI to power its magic design for video helping users skip tedious editing steps Proctor and Gamble is accelerating the development of photorealistic images and creative assets giving teams more time back to focus on higher level plans wpp the creative transformation company built a performance brain using Gemini 1 .5 Pro on vertex AI to power its media activation tool called wpp open media Studio advertisers like the Google pixel team can now see predictions of which ads are going to work the best before a single impression has been served avoiding millions of dollars of media waste over the life of campaigns now while these examples are about professional creative teams we we believe that everyone can be a great Creator and a great Storyteller but the formats and tools for storytelling at work haven't really changed that much how many times have you heard should we start with a dock or a deck well we can do a lot better I'm absolutely thrilled to announce our newest workspace app Google vids [Applause] sitting alongside Google Docs sheets slides Google vids is an AI powered video creation app for work with Gemini and vids you have a video writing production and editing assistant allinone let me show you how simple it is to get started with bids now after a full week with all of you here at next I'm going to want to share a recap video to share all the excitement with with my organization when I open up vids Gemini helps me get started I simply type in a prompt using an existing document for context now based on that prompt Gemini suggests a narrative outline for the story that I could easily customize and edit I choose an expressive style and vids Works its magic let's see what I get so wow just like that I get the first draft with beautifully designed fully animated scenes complete with relevant stock media and music and even a generated script I'll be able to add fun videos and photos that I captured this week from my media directly by accessing Google Drive and Google photos and even without any video expertise I can build out scenes like a pro just as easily as I make slides but it doesn't have to stop there with this vids you can personalize your story your way by recording yourself or by using one of our preset voices by Gemini and by enriching scenes with high quality media from our stock Content Library or from your own to really make your story shine and because Google vids is a workspace app it comes with all of the collaboration capabilities that your teams already know and love VDS doesn't just help you create videos it helps you become a better Storyteller with a rich new medium at work this isn't just a vision vids is already in the hands of alpha customers who have been giving us really great feedback as we work towards expanding to workspace labs in June I'm looking forward to sharing more about vids with all of you in my Spotlight session tomorrow Beyond vids many customers are building agents for their marketing teams audio and video production teams and all of the creative people out there who could use a hand we provide a tremendously powerful platform and stack to build creative agents first it takes the best image generation model imagine 2.0 our most advanced textto image technology helps businesses create images that match their specific brand requirements this is now generally available in Vortex AI image imagine strong language comprehension and photo realism capabilities contributed to Google securing the leadership position in the recent Foresta computer vision wave second as a part of Imagine we're now introducing text to live image in preview today marketing and creative teams can generate animated images from a text prompt including product images ads GFS and storyboards here's an example of a day lily opening in the Morning Dew and a pot of something delicious simmering on the stove or an aerial view of a mountain range third we are proud to announce the general availability of digital watermarking for AI generated images produced by imagine it's powered by Google deep Minds synth finally we're announcing new editing modes for Imagine 2.0 which will make it really easy to remove unwanted elements in an image add new elements and expand the borders of the image to create a wider view for all of you when all of these tools come together it's a powerful combination let's take a look at the creative agents that you can build today please welcome one of our field engineering leaders Elliot Danner thank you apara our symbol Outfitters product team is working on designing a new tent that we're eager to bring to market the tent itself is still in development but we want to get started on a marketing strategy right away let's see how the creative agent we developed with Gemini models imagine 2.0's API and Google workspace can help first things first let's get a look and sense for the look and feel of our brand what are the key Styles and themes of our brand the creative agent can analyze previous campaigns to understand our unique brand style and apply to new ideas in this case the creative agent has analyzed over 3,000 brand images descriptions videos and documents of other products that we have in our catalog contained within Google drive to create this summary and as you can see it summarized our brand identity as bold adventurous and aspirational this is exactly the look and feel that we're going for the creative agent was able to use Gemini Pros 1 million token context window and its ability to reason across text images and video to generate this summary next I'm going to cre prompt our creative agent using imagine to dynamically generate amazing new images of our tents in iconic and real outdoor settings this will help us brainstorm campaign locations all of this of course will match our unique brand style now because I'm a terrible typist I'm going to use chromes buil-in clipboard history so we've asked it to create these images we'll give it just a second check this out Machu picu not bad half doome these are real landmarks accurately presented now let's work on a narrative to really help us land the message I want to make special note that in this prompt I'm going to ask the creative agent to provide captions in both English and Spanish and that I'm using a multilingual prompt to do so awesome the creative agent leverage Gemini Pros multimodal capabilities to brainstorm creative captions that match each photo these look great too and thanks to our multilingual capability we're able to share the same story with our customers in their native language moving along let's ask the agent to combine everything into into a storyboard and share it with the team to get some feedback generate a storyboard share it with an email group The Creative agent's going to move this into slides and share it out with that group all done shared with the group they can post comments directly in Google slides and we can see them here for the agent to review we'll speed up time a little bit because it's a demo and take a look at the feedback looks great but there are three requests first something for Less experienced campers second content for the symbol Outfitters podcast and third something more visually Dynamic for social media let's start with that new storyboard we'll use that copy paste trick again and you'll see in this case we're asking for a New Image new captions and a new storyboard with that new audience that relaxed camping audience take a look that looks pretty relaxing to me looks pretty good and there's the storyboard great just like that the creative agent modified our ideas for a new audience it understood our context and made the changes that we asked for now let's generate that podcast the Gemini model's complex reasoning allows me to generate a script and an audio clip in a single prompt this much longer prompt highlights our ability to do ordered operations we're asking the agent to create a podcast script in ssml or speech synthesis markup language and then passing the output to our text to speech API the result will be an episode with two people discussing tense so we'll see the script here which we could expand if we wanted but let's just listen to a little bit of it welcome to the show thanks Freya it's great to be here I'm always happy to geek out about gear that sounds really good and I want you to notice the regionalism in the speaker voices pretty impressive but we don't have time to listen to the whole thing because you're here for the keynote finally we were asked for some engaging content for social media let's see what the creative agent can do using our new live image generation capability so we'll ask it generate some live images of our tent Outdoors for clarity we've run this prompt before and so you'll be seeing cash to speed things up but these are simply beautiful creating content like this could take days of weeks days or weeks of scouting and shooting but our creative agent used imagins new text to live image capability to make them in minutes the creative Agent shows how Google's generative AI capability can make producing custom content easy seamless and a lot of fun I'll hand it over to br [Applause] [Music] CER thanks a partner anelia that was amazing I want to first talk to you today about data agents many of us have worked with data analysts who can answer a question and figure out the questions we should be asking that's what great data agents will provide and one company that we're working with who's building data agents grounded in Enterprise data is Walmart let's hear from shesh Kamar their EVP and [Applause] [Music] [Applause] CTO hello and thank you for having me at Walmart we are obsessed with data as the largest retailer in the world the scale of our data is unmatched Walmart has a legacy of innovating on behalf of our customers our members our Associates and today our business is both vast and complex we are working with massive amounts of complex data and we need Partners like Google Cloud to help us achieve our goals the ability to handle huge amounts of data through bigquery and other analytical tools has been instrumental in implementing our transformation artificial intelligence is embedded AC across our business helping us unlock insights from our data to personalize experiences get inventory to our supply chain and a lot more using Gemini we have enriched our data helping us improve millions of product listings across our site and ultimately enabling customers to make better decisions when they shop with Walmart our team worked closely with Google to customize their offerings fine tuning for our needs to power the present and enable the future of Walmart I'm excited about our partnership as we create the future of [Music] [Applause] retail thank you shes we're thrilled to be helping Walmart use data agents to serve their customers we're helping many customers build data agents for example bear is harnessing big query and vertex AI to develop digital Medical Solutions and drugs more efficiently as well as streamline the creation of regulatory documentation News Corp is using vertex AI to search data across 30,000 sources and up to over across 2.5 billion news articles updated daily woven by Toyota is collaborating with Google to leverage vast amounts of data in AI resulting in 50% TCO savings to support automated driving Ricardo Liber is using big query and looker to optimize capacity planning and reservations with delivery carriers and Airlines to fulfill shipments faster and thousands of scientific researchers at May Clinic search over 50 pedabytes of clinical data using vertex AI search tokopedia an Indonesian e-commerce leader is using vertex AI to improve data quality increasing Unique Products sold by 5% and Vodaphone uses vertex vtex AI to allow 800 operators to rapidly search over 10,000 contracts then we have Partners like Onyx and data Medica who help our customers build data agents now these data agents have the potential to unlock new ways to find and act on meaningful meaningful signals from your data they're built with AI for complex analysis and they have to ensure factional Integrity of their results and to help power these data agents we're making it easy to bring your data to Google cloud with Gemini and bigquery Gemini bigquery helps with data preparation Discovery analysis and governance and comes with a new big query data canvas which is a new notebook like experience supporting natural language queries and embedded visualizations now data professionals can get assistance for building their data pip pipelines to improve performance reduce errors and lower costs and today we're introducing new query capabilities using vertex indexing directly in big query and alloy Tob this allows you to leverage AI over your data where it is stored enabling real time and accurate responses for AI applications we're also building seamless connection from Big query to fex AI to give you direct access to AI models in vertex from bigquery now bigquery in vertex together deliver up to four times faster performance and are up to three times more cost effective than the other data warehouse and AI platforms now this allows you to seamlessly combine your AI models classical ml operators and statistical functions together in your data pip pipelines for multimodal analysis and with this new capability you can analyze documents videos images and audio recordings together with your structure data and finally we've improved the integration between looker and your data agents as part of the Gemini and looker preview we've added new AI capabilities that enable you to chat with your business data with seamless integration with Google Google workspace and together these stru these Solutions make it easier to analyze and activate your data let's see how this comes together in a demo please welcome director of outbound product management in data analytics Jasmine Amud thank you Brad we have built a great data agent one that connects all of your data incorporates gen and even has collaboration it's a custom application built with big query luer and vertex AI shoot I could have sworn my notifications were on silent but wait what's this this is cool it's my data agent giving me a notification that sales are up well maybe it's because of our Cloud shoes because surely shouldn't all keynote speakers get keynote sneakers all right let's explore with our data agent what you're seeing here are realtime kpis the metrics that matter the most being continuously monitored from my Enterprise data in big query to surface anomalies and Trends let's dig in let's explore Cloud Sho sales over customer segments and territories in a heat map our data agent uses the looker semantic layer to effectively ground its AI in specific business data and data definitions that give us trusted answers and in this case it's right down to the territory and even customer segment I also see other data details that give me source and traceability so I know I can trust this data I wonder how might this trend be impacting other kpi stored in my semantic layer let's ask how does demand correlate with other Core Business metrics okay our data agent again uses the looker semantic layer to find other business metrics that are similar and looks for anomalies in fact I've got three helpful insights I can actually dig into supply and demand levels over the next 3 months by clicking this first child our data agent is now using big query machine learning to build a futur looking forecast and it looks like it's found a gap in supply versus demand and it's only growing I might need a substitute product to help me meet demand well isn't it great that in big query we have invented our 50,000 shoe catalog collection including multimodel data like product descriptions pricing and even images and with big query Vector embeddings these images with different colors shapes lines and styles can be queried easily to do a similarity match so let's enter a prompt find me similar products in our catalog that look like and we're going to upload an image of our Cloud shoe and with that our agent has all of the information it needs to do that search and it's found three top matches and combine these images with structured data about pricing and delivery schedules well given I need a similar looking shoe and delivery times are important I think option one looks great isn't this incredible however we do need to make it actionable after all insights that aren't actioned aren't very useful so let's share this with the team our looker and workspace Integrations now make this super easy we can simply send a summary of the alert and search insights over chat to our symbol inventory team and with that our data agent compiles that summary and it's even come back with a sheet containing all of the raw data and insights I sure do want to share these with the team and with that our team now can make confident decisions with all of the data and insights they need all powered through big query looker and vertex AI the combination of these Technologies is truly gamechanging back to you Brad thanks yine that was amazing now I want to shift and talk to you about code agents there's so much upside for helping developers and product teams to design create and operate applications and to ramp up on new languages and code bases faster and one company investing to help their developers is Wayfair let's hear from Fiona their [Music] CTO at Wayfair we're here to help our over 22 milon customers create their feeling of home as a digitally native retailer our Tech platform is the Bedrock of our grp our developers needs are top of mind for us we strongly believe generative AI will be at the Forefront of this work and we want to provide them with access to generative AI coding tools enabling them to build faster and with greater quality and ultimately enhancing their job satisfaction we chose Gemini code assist after running a number of pilots and evaluations that measured metrics pertaining to speed quality and sentiment when we looked at the results against a control it showed that Gemini cotsis brought in significant improvements across the Spectrum for example developers were able to set up their environments 55% faster than before there was over 48% increase in unit test coverage for the code and 60% of developers reported they were now able to focus on more satisfying work we're now rolling it out on demand to all developers and are building a suite of Workforce productivity tools like automated code review document search and chat we're excited to see how code agents can continue to increase developer productivity and satisfaction and at Wayfair we look forward to continuing our Innovation with Google Cloud thanks for having [Music] me thanks fion our Enterprise Focus AI code assistance is now called Gemini code assist we've used Cod assist internally with significant impact as shown here and we're seeing the same success from our customers for example Turin an AI powered tech services company is accelerating development with Gemini Cod assist they're customizing code assist using their private code base empowering their developers with highly personalized and context relevant coding suggestions they've increased their productivity by 30% helping ship higher quality work faster and enhancing the day-to-day experience of their developers similarly quantify also saw developer productivity gains of over 30% likewise cap Cap Gemini saw coding velocity increase alongside improvements in code security quality and test coverage and commerce banks helps their developers with Cod assist robust security and and compliance features now Gemini code assist provides Enterprise grade coding assistant that supports your codebase anywhere on premises gitlab GitHub bitbucket and even across multiple repositories we do not require your code to be only in GitHub in addition our Global footprint allows us to provide optimal performance for developers worldwide and support data residency the other leading provider only supports repositories in one country which may be inadequate for customers who have strict data residency requirements and today I'm excited to announce two key additions to meet Enterprise development needs first we're integrating the power of Gemini 1.5 Pro into Gemini Cod assists this upgrade brings a massive 1 million token context window to coding which which is the largest in the industry this revolutionizes coding allowing you to perform large scale changes across your entire code base second we're announcing Gemini Cloud assist which works across your application life cycle making it easier to design operate troubleshoot and optimize your application now these Solutions work together to help developers and operators be more efficient now please welcome our product manager for Gen Paige Bailey for our final demo awesome thank you so much Brad and hey there Las Vegas so let's take a look at what's coming for COD assist with gimini 1.5 Pro leveraging a 1 million token context window I'm a new developer with symbol Outfitters and today we show recommended products to customers only after they've made an initial selection these suggestions are powered by our custombuilt recommendation service based on previous purchases but now the marketing department has asked me to move this feature to our homepage so that customers can see products that they might be interested in as soon as they get to our site our design department has created a mockup of what they would want this experience to look like in figma and for the developers out there you know that this means we're going to need to add padding in the homepage modify some views make sure that the configs are changed for our microservices and typically it would take me a week or two to even just get familiarized with our company's code base which has over a 100,000 lines of code across 11 services but now with Gemini code assist as a new engineer on the team I can be more productive than ever and can accomplish all of this work in just a matter of minutes this is because Gemini's code Transformations with full codebase awareness allows us to easily reason through our entire code base and in comparison other models out there can't handle anything beyond 12 to 15,000 lines of code and even then they struggle to get it right Gemini inside of code assist is so intelligent that we can just give it our business requirements including the visual design so let's ask here I am prompting Gemini to add a for you recommendation section on the homepage along with an image of the future state to show the improved design almost immediately Gemini code assist starts by reasoning about the code changes that it needs to make and has insights an experience teammate would have for example because we asked Gemini Cod assist to change the recommendation service it was able to find the recommendation function and extract out the exact details needed to make the call to the recommendation service it highlights the files needing to be changed and reveals the reasoning behind its recommendations using our own codebase for context Gemini code assist doesn't just suggest code edits it provides clear recommendations and make sure that all of these recommendations are aligned with symbol Outfitter security and compliance requirements in code assist we've also added an option to apply the edit which keeps me as the developer in the driver seat so let's take a look at the source code changes that Gemini code assist is made in our code base it looks like we have multiple edits across two files handlers. go and also home.html Gemini Cod assist even applied these changes to the full repository and to put this in context no pun intended it would have taken me over 70 hours nonstop to even just read through all of these files and just like I would with any code change my next step is to check the workout by testing out the modified app locally so let's try it and there we go the for you recommendations section is exactly what our marketing team was asking for and as a new developer I was able to make a meaningful contribution on my very first day so let's recap behind the scenes Gemini has analyzed my entire codebase in gitlab it's implemented a new feature and has ensured that all of the code generated is compatible with my company's standards and requirements we are so excited for you to try out Gemini code assist over to you Thomas thank you Paige thanks Brad that was amazing now let's talk about security agents with security and generative AI we focused in three important areas first to ensure that our Jer a platform protects the privacy and security of the data we provide sovereignty and compliance controls including data location encryption access control and auditing second we continue to enhance our AI platform to protect your models and Agents from cyber attacks such as malicious prompt injection third we're applying generative AI to create security agents that assist security operations teams by radically increasing the speed of Investigations Pao Alto networks is building on Google Cloud AI they share this Vision with us let's hear from Nikes aora their CEO [Music] Google cloud and Pao Alto have had a shared Vision around how do we take generative Ai and make it work together as the whole world moves towards this new paradigm so what we did do over the last five or six years working in partnership with Google work on building Cloud security capability and most recently building our cortex xim platform which effectively reinvents security operations and of course in perfect time because we leverage tremendous amounts of machine learning Precision AI generative AI to make sure that customers are able to detect be able to stop remediate all these cyber security attacks as quickly as possible so they can go ahead and do what they need to do very excited about all the capabilities that Gemini brings to the four we noticed this large language model has allowed us to do things a little faster get more precise and we're hitting numbers north of 90% in terms of a accuracy effectively what we've seen in our early trials that it makes our usability better our explainability better the fact that we can combine our product capabilities leverage the large language model we can get as part of our Google Cloud Partnerships we're going to be able to create more and more ease of use and automation so couldn't be more excited about things to come with Gemini and really excited about the AI partnership with Google thank you for having [Music] me thank you NES you know security agents will help each of you in every stage of the security life cycle from prevention detection and response let's start with threat intelligence we're able to take the experience in intelligence We Gather from protecting Google's own Services combine it with Mandan leading Frontline Insight from their work in incident response to show you emerging threats the severity and risk factors today Gemini in threat intelligence a new product enables you to use natural language prompts to get deep insight about threat Behavior actors in other security offerings we use Gemini 1.5 Pros long context to analyze large samples of potential malicious code or malware to see the interaction between modules and to reveal their true malicious intent to quickly identify and address threats you can use Gemini and security operations to summarize and explain findings recommend next steps and even write and execute remediation playbooks next you can use Gemini in our security Command Center to evaluate your security posture findings and summarize attack paths to help understand Cloud risks so you can remediate them leading organizations are already seeing benefits by integrating their own intelligence into Google SEC Ops Charles Schwab analysts better prioritize work and respond to threats groupo boticario one of the largest beauty and cosmetics companies in Brazil employs real-time models to prevent fraud and respond to issues for fizer data sources that used to take days to aggregate can now be analyzed in just a few seconds and BBVA has seen similar results five serves security operations Engineers create detections and playbooks with much less efforts while analysts get answers faster today we've announced dozens of new capabilities across every layer of our optimized AI stack we know that each of you needs all of this to work with your existing systems and to be supported by a broad ecosystem that gives you Choice our open platform offers choice at every layer including chips for training and serving your choice of models your choice of development environments databases including Vector databases and your choice of business applications we're building with a broad ecosyst system of Partners including independent software vendors and Technology partners and our services Partners have been aggressively ramping their capabilities with our global system integrated Partners alone committing to train over 200,000 professionals on our gen products we're at a pivotal moment in our industry together we're creating a new era of generative AI agent built on a new truly open platform for AI and we're Reinventing infrastructure to support it to all of our customers and partners thank you all so much for your partnership we have an amazing three days plan for all of you with a great set of sessions and keynote still to come to everyone here those watching online to the amazing team that put this event together thank you for joining us for cloud next together we're building the new way to Cloud have an amazing event [Applause] [Music]