Google Unveils Gemini 1.5-Powered AI Innovations for Enterprise and Workspace

Google supercharges enterprise contact centers with Gemini 1.5 Flash

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Today, Google Cloud announced it is rebranding its six-year-old Contact Center AI offering as a new end-to-end application called Customer Engagement Suite with Google AI. The move, which is another significant product rebrand from Google, has been made to reflect the integration of the company's generative AI technologies - including the all-new Gemini 1.5 Flash - into the platform and provide enterprises with a more powerful experience for handling customer cases across different touchpoints. This means enterprises using the application will now get advanced generative AI capabilities, including agentic AI to handle customer queries as well as smart replies, summaries and more to make customer care representatives more efficient at handling complex cases. What does the new end-to-end application have on offer? Google Cloud launched Contact Center AI in 2018 as a multichannel platform that integrated with CRMs and other data sources and provided customer care reps the ability to handle cases across different channels (across web, mobile, voice, email, apps). The offering included early-level AI and machine learning (ML) capabilities, including recommended responses (like those seen in Gboard), DialogFlow-based virtual agents for basic queries and transcription analysis for live insights and optimization. Now, with this rebrand, Google Cloud is building on this work and adding features powered by its foundation models -- while keeping the same omnichannel communication experience. Firstly, the conversational agents offering of the platform, which created basic virtual agents, can now create more advanced hybrid agents, integrating prescriptive actions for predetermined questions as well as Gemini's ability to address a broader range of topics. This way, a company can address customer questions with the best of both worlds -- rule-based deterministic control and adaptive generative AI, grounded in the organization's proprietary datasets. "You can create and control virtual agent behavior with no code, making the product easy to use and configure for a wider range of employees. The hybrid virtual agents you create can reduce costs across customer operations by taking on a greater volume of inquiries to increase customer self-service and allow customer-care representatives to focus on more specialized calls," Duncan Lennox, VP & GM of Applied AI at Google Cloud, wrote in a blog post. In addition to improved virtual agents, Google Cloud has enhanced the Agent Assist offering to provide customer care reps with more Gemini-powered tools to address queries faster and with high levels of accuracy. This includes generative knowledge assist to suggest search queries based on the context of the ongoing conversation; a coaching model that can be grounded in proprietary information to generate real-time step-by-step guidance for representatives; and enhanced smart replies, automatic call summarization and live bi-directional translation for chats, covering over 100 languages. Notably Agent Assist will also tap Gemini 1.5 Flash's multimodal capabilities to help agents instantly generate media to handle customer queries. This can come particularly handy in cases of tech support, where the agent has to give step-by-step instructions to the customer. The race to transform contact centers By enhancing Contact Center AI with Gemini smarts, Google Cloud hopes enterprises will be able to orchestrate a consistent customer experience and better address queries across all touchpoints. The company currently supports customer service agents of dozens of large enterprises, including Verizon, Marks & Spencer, EasyJet, Telus and the State of Illinois However, it is worth noting that the Sundar Pichai-led company is not the only one exploring the power of AI in the contact center. Multiple conglomerates and startups are exploring the space in their own ways, including AWS (with its Q assistant), Thoughtly, Observe AI and Sierra. According to Gartner, by 2025, 80% of customer service and support teams will be applying generative AI in some form to improve agent productivity and customer experiences.

Google unveils new generative AI innovations for customer engagement and Gemini in Workspace - SiliconANGLE

Google unveils new generative AI innovations for customer engagement and Gemini in Workspace Google Cloud said today it's expanding its leadership in the world of artificial intelligence agents with a new set of generative AI models that are specifically targeted at customer engagement applications, integrated within its Contact Center AI services. The new Customer Engagement Suite, announced at Google's virtual Gemini at Work online event, is powered by Google's most advanced family generative AI models, Gemini. The Gemini models are also being integrated with the Google Workspace platform, the company announced today. With the announcement, it's aiming to help employees at companies of all sizes work more productively. In addition, Google also used the virtual stage to talk about how dozens of existing customers have put its AI Agents to work across a range of business applications. AI agents are intelligent systems based on generative AI that go beyond simple chat applications and predictions, taking actions on behalf of users to make them more productive. The best known types of AI agent are probably the image generation models, like OpenAI's DALL-E 3, Google DeepMind's Imagen and Stability AI Ltd.'s Stable Diffusion XL model, but that's not the only task they can perform. In a blog post, Google Cloud Chief Executive Thomas Kurian explains that AI agents are designed to achieve very specific goals, such as helping a shopper to find a perfect pair of shoes, assisting an employee in finding the right healthcare benefits, or supporting nursing staff with smoother patient handoffs during shift changes. Google has identified six categories of AI agents: employee agents, code agents, data agents, creative agents, security agents and customer service agents. Today's main announcement is focused on the last, with Google's new Customer Engagement Suite in Contact Center AI providing its customers with access to a range of AI agents that can assist customer support agents and automate some of their tasks. It's said to be powered by the Gemini 1.5 Flash model, and brings advanced conversational AI capabilities to the omnichannel functionalities of its flagship contact center-as-a-service platform. In a separate blog post, Duncan Lennox, Google Cloud's vice president and general manager of Applied AI, said the Customer Engagement Suite in Contact Center AI offers four key benefits, with the primary one being its omnichannel capabilities. What this means is that contact center teams can put virtual agents to work across multiple channels, including web, mobile, voice, email and chat applications, automating responses to customer inquiries. It also supports multimodal capabilities, meaning it can understand text, voice and images uploaded by customers, plus rule-based controls that allow it to understand and process various queries. For instance, if a customer is calling their bank, they'll likely be required to verify their identity by answering some verification questions. Google says the Customer Engagement agents can handle this, and also field other types of queries, such as if the customer asks what the bank's best mortgage deal is. It can even compare the mortgage package it suggests with others that the bank offers, Google. In addition, Google said, the Customer Engagement agents are grounded in data via Agent Assist capabilities to ensure the highest level of accuracy in their responses. What this means is that their responses will be based on the customer organization's own internal data and knowledge bases, which inform their outputs. Google claims these capabilities help set its customer service agents apart from similar offerings, to deliver "exceptional and consistent experiences" across every channel. In addition, customers can tap into an ecosystem of third-party apps for contact center operations, such as telephony systems, workforce management applications and customer relationship management platforms like Salesforce, SAP, ServiceNow and Microsoft Dynamics. Early adopters of Google's Customer Engagement agents include Snap Inc., the creator of Snapchat, which has developed an AI assistant called My AI. It can respond to various user requests within Snapchat. For instance, if a user asks My AI to translate a photo of a street sign or a menu in a foreign language, it will do so immediately. Alternatively, the user might take a video of various snacks being sold in a shop, and ask My AI which one is the healthiest option, and it will respond accordingly. In a second announcement, Google said it's aiming to enhance productivity for every kind of business with the integration of the standalone Gemini app in the Google Workspace platform, for Workspace Business, Enterprise and Frontline subscribers. Google Workspace is the company's cloud-based productivity suite and includes products such as Docs and Sheets. With the integration, Google says Workspace users will be able to access the power of generative AI, safe in the knowledge that their confidential data will always remain secure, and not be made available to Google's models for training purposes. The integration provides basic AI assistant capabilities across the entire Workspace suite, and customers will be able to decide for themselves how the Gemini app handles different kinds of prompts. In addition, Google Workspace is getting a new "security advisor" that provides additional security insights and data protection capabilities to customers. Google described the security advisor as a powerful toolkit that's designed to help customers thwart the latest cyberthreats. It can be thought of as a kind of personal security expert that provides business-tailored insights, actionable guidance and more. It will deliver key security insights directly to the Workspace administrator's inbox, with customized recommendations to help enhance the organization's security posture, Google said. This includes a guided experience for implementing recommended threat defenses, account security measures and data protection policies. The security advisor is exclusive to Workspace Business edition subscribers, and will roll out in the next few weeks, Google said. Aside from the new AI features, Google used the Gemini at Work event to showcase what dozens of its customers are doing with its AI agent offerings. With regard to its employee agents, which are designed to streamline processes, manage repetitive tasks and answer employee's questions, it highlighted how a company called Click Therapeutics Inc. is using Gemini for Workspace to transform complex data operations into actionable insights, so it can rapidly pinpoint ways to improve the patient experience in clinical trials. It also revealed how Dun & Bradstreet Holdings Inc. is using Gemini-based agents to generate emails with tailored, personalized communications to sales prospects and customers it wants to survey for research purposes. Meanwhile, the pharmaceutical company Elanco Animal Health Inc. is using AI agents to support business processes around clinical insights, customer orders and drug safety, resulting in an estimated return on investment of $1.9 million since going live last year. Google also offers so-called data agents that are designed to answer questions around internal and external sources, synthesize research and more. One company that's putting these to use is the chemical manufacturing giant Bayer AG, which has developed a "field answers" app that's able to provide instant answers for agriculturalists in any location, so they put sustainable farming techniques into practice in any situation. Another customer is Ipsos Group S.A, a market research firm that has created a data analytics tool grounded in Google Search to assist its researchers. As for Google's security agents, they're designed to automate security monitoring, implement cybersecurity controls as specified by internal policies, and even aid in cyberattack investigations. They're used by customers including Apex Fintech Inc., which has accelerated the development of complex threat detection tools from hours to just a few seconds, and Fiserv Inc., which is using Gemini is Google's SecOps platform to summarize threats and propose responses to the vulnerabilities it discovers. Finally, Google offered a few insights into how companies are using its creative AI agents to aid in design and artistic expression. For instance, Formula E, the organizer of the ABB FIA Formula E World Championship motorsport series, is using generative AI to create realistic, humanlike commentaries of each race, grounded in data on each competing driver and vehicle. It also talked about how the South American media group Globo Comunicação e Participações S.A is using AI to hyper-personalize streaming content for individual users, and how Puma SE, the athletic apparel and footwear brand, is using its Imagen 2 model to generate dynamic and personalized product images. "We continue to work hard to partner with customers to help them deliver real business value in the form of incremental leads, conversions, sales, and profits," Kurian said. "We are committed to taking a bold and responsible approach to make AI helpful for everyone, helping organizations of all sizes solve real-world challenges in entirely new ways."

Google Gemini AI Injected Into Workspace, New AI Customer Suite Launched

Google Cloud unveils three huge AI and generative AI launches, including a new security toolkit, an AI customer engagement suite and the integration of Google Gemini AI into Workspace. Google Cloud unveiled three new AI-powered offerings Tuesday, including the blockbuster news that Google's Gemini AI models are now being integrated as part of its Workspace Business, Enterprise and Frontline portfolio. "Now, millions of Workspace customers can access the benefits of AI, while knowing that their organization's privacy, security and compliance policies will be upheld," said Aparna Pappu, general manager and vice president of Google Workspace, during Google's virtual Gemini at Work online event Tuesday. Google Cloud also launched a new Customer Engagement Suite with Google AI, which combines the company's Contact Center AI with its latest GenAI technology. "Customer Engagement Suite with Google AI is an end-to-end application that combines our most advanced conversational AI products with omni-channel contact center as a service (CCaaS) functionality, and the speed and multimodality of our latest Gemini 1.5 Flash model," said Google Cloud's Duncan Lennox, general manager and vice president of Applied AI, in a post. [Related: 5 New Google Cloud AI Products And Programs For Partners] Lastly, the $41 billion Mountain View, Calif.-based company unveiled a new security advisor toolkit aimed at dramatically simplifying cybersecurity for companies of all sizes, particularly SMBs. "Think of it as your personal security expert that can offer business-tailored insights, actionable guidance and additional threat prevention and data protection controls," Google Cloud's Pappu said. "Security advisor delivers insights directly to an IT administrator's inbox, with tailored recommendations to enhance the organization's security posture." Google said using built-in AI across Google Workspace -- which includes Gmail, Docs and Drive, saves users an average of 105 minutes per week, according to a recent study of enterprise customers. In addition, 75 percent of daily Gemini for Workspace users said it improves the quality of their work. Google Cloud's stand-alone Gemini app is now included as part of Workspace Business, Enterprise and Frontline. Customers can now use Gemini directly in Workspace with the Gemini for Workspace add-on. "Through the admin console, customers will have choice and control over how the Gemini app handles user prompt and generated response retention, while having our assurance that Gemini does not use your organization's data, user prompts or generated responses to train or improve Gemini models," said Google Cloud's Pappu. As new generative AI capabilities are demonstrating increasingly larger value for customer service operations, Google is combining the features of Contact Center AI with its latest generative AI technology to deliver a new application: Customer Engagement Suite with Google AI. "This enables customer service operations to deliver exceptional and consistent customer experiences at eve touchpoint," said Google Cloud's Lennox. "And it supports an ecosystem of third-party offerings such as telephony systems, customer relationship management (CRM) applications, workforce management applications, and connectors; these include connectors to other systems, user interfaces, and data sources, like BigQuery," Lennox said. The end-to-end application combines Google's most advanced conversational AI, with multimodal and omnichannel functionality to deliver exceptional customer experiences at every touchpoint. Lastly, Google unveiled a new security advisor toolkit to help thwart the latest cyberthreats. "Think of it as your personal security expert that can offer business-tailored insights, actionable guidance, and additional threat prevention and data protection controls," said Pappu. "Security advisor delivers insights directly to an IT administrator's inbox, with tailored recommendations to enhance the organization's security posture." This includes a guided experience for implementing recommended threat defenses, account security measures and data protection capabilities. "It's security made simple," said Pappu. Over the next few weeks, Google Cloud will begin to roll out the security advisor toolkit for all Workspace Business edition customers.

Google just dropped new versions of Gemini -- here's why its a big deal

Lower costs and higher performance, make these a developer's dream Google has announced the release of two updated AI models: Gemini-1.5-Pro-002 and Gemini-1.5-Flash-002. Besides a 50 percent price drop on Gemini 1.5 Pro, users can expect 2x faster output and 3x lower latency, among other major updates. This is especially exciting news for developers. Among the most notable features, the faster output makes these models ideal for high-demand AI tasks such as code, text, and multimodal processing. Performance has been enhanced across multiple benchmarks, showing a 20 percent improvement in math-related tasks and substantial gains in visual understanding and code generation. Taking developer feedback into account, Google reduced the output length by 5-20 percent, resulting in faster responses without compromising quality. For longer, more verbose responses, developers can apply specific prompting strategies. The new Gemini-1.5-Pro model is well-suited for tasks like summarizing information from large documents and understanding long videos. For developers, accessing these models via Google AI Studio and Vertex AI has been streamlined, and the improved rate limits make it easier to build with Gemini's capabilities at scale. In an effort to give developers more of what they want, Google has experimented with Gemini-1.5-Flash to bring even greater improvements across text and multimodal tasks. It is clear that the company is committed to evolving the AI landscape while taking to heart developers' needs. Alongside these model upgrades, Google updated privacy filters, allowing developers more flexibility in how they configure the models while maintaining content safety. With these enhancements, Google has made the Gemini models not only more affordable but also more powerful, responsive and safer, solidifying their place as competitive tools in the AI space. These improvements continue to open new possibilities for AI applications, and Google is encouraging developers to explore the models' potential across various use cases. In addition to the aforementioned updates, Google announced that Gemini Advanced users can expect to access a chat optimized version of Gemini 1.5 Pro-002 soon, signaling there is more to come to excite users and industry leaders alike.

Google says Gemini AI is ready to do real work

Why it matters: The largely virtual event comes amid a flurry of claims from tech providers and growing skepticism that genAI is ready for broad use beyond coding and customer support. Driving the news: Google is using the event to tout more than 100 examples of customers using its Gemini and Vertex AI tools for a wide range of business uses. Between the lines: One of the key questions for businesses is whether the productivity assistants offered by Microsoft, Google and others are worth paying an extra monthly fee of $20 to $30. Zoom in: In a test, the Clearwater, Florida-based moving company Pods outfitted its storage and moving trucks in the New York area with digital displays and used Google's AI to generate slogans that included local facts.

Customers are putting Gemini to work

It's been less than six months since Google Cloud Next, and the pace of innovation across industries has been nothing short of extraordinary. We're proud of our AI leadership and differentiation as we continue pushing the technology frontier for our customers. From launching more powerful versions of Gemini 1.5 Pro, to rolling out general availability for Gemini Flash and Imagen 3, to investing in our Vertex AI platform, our teams have been building off the product momentum of Next. And all of this innovation is driving incredible use of our products. Today, as part of our Gemini at Work global event, we are showcasing nearly 50 new customer stories from organizations around the world to highlight just how impactful generative AI can be when you put it to work at scale -- including Pods, Snap, Volkswagen US, Warner Bros. Discovery and many others. We're inspired by what customers are building and excited by how quickly they've been able to move ideas from experimentation into production with our Vertex AI platform. We're also seeing major boosts in productivity through Gemini for Google Workspace, with customers saving an average of 105 minutes per user, per week, according to our recent study of enterprise customers. This builds upon the momentum we've seen in recent months, as we've announced new or expanded partnerships with leading brands like Airtel, Asteroid Institute, CMA CGM, Eiffage Partners, Hudson River Trading, Humana, LG AI Research, Motorola, New AIM, Nova Scotia Health, and Telefonica. When we speak to our customers and partners, they are choosing Google Cloud as their strategic gen AI partner and platform for four distinct reasons: We continue to see customers and partners benefiting from AI agents -- intelligent systems that go beyond simple chat and predictions, to proactively take actions. What makes AI agents unique is they help achieve specific goals, whether that's guiding a shopper to the perfect pair of shoes, helping an employee look for the right health benefits, or supporting nursing staff with smoother patient hand-offs during shift changes. We see AI agents centering around six use cases:

Google Slashes Prices, Upgrades and Boosts Performance of AI Models | PYMNTS.com

Google's latest artificial intelligence models could accelerate AI adoption in eCommerce and retail, developers say, as the tech giant unveils upgrades designed to attract more businesses to its Gemini platform. The company announced two updated production-ready models in a Tuesday (Sept. 24) blog post, Gemini-1.5-Pro-002 and Gemini-1.5-Flash-002, which offer enhanced capabilities across a range of tasks, including product recommendations, inventory management and customer service automation. "The new release introduces advanced capabilities in math and vision tasks," Sujan Abraham, a senior software engineer at AI firm Labelbox, told PYMNTS. "These models are designed for a wide range of tasks, including text, code and multimodal applications. They can process larger and much more complex inputs like 1,000-page PDFs, massive code repos and hour-long videos. These models are faster, better and more cost-efficient for production environments." In a move likely to intensify competition in the AI market, Google is reducing pricing for its Gemini-1.5-Pro model by more than 50% for both input and output on prompts under 128,000 tokens. The company is also doubling rate limits for the 1.5 Flash model and tripling them for 1.5 Pro. "To make it even easier for developers to build with Gemini, we are increasing the paid tier rate limits for 1.5 Flash to 2,000 RPM and increasing 1.5 Pro to 1,000 RPM, up from 1,000 and 360, respectively," the post stated. Performance improvements are up, with Google reporting an approximate 7% increase in scores on the MMLU-Pro benchmark, which measures general knowledge and reasoning abilities. Both models showed a "considerable ~20% improvement" on math-related benchmarks, according to the post. "The Gemini 1.5 series is more efficient across the board," Jorge Argota, founder of an AI consultancy, told PYMNTS. "These models are text, code and multimodal. When dealing with complex math or code, they are more understanding and accurate. This could be a game changer for eCommerce platforms looking to implement advanced AI features." Argota highlighted the extended context window as a significant advancement. "The models can now process up to 2 million tokens, which is a big jump from previous versions," he said. "This means they can handle long documents and multimedia inputs with ease. For projects with large datasets or long documents, this is a huge win." The updates also address speed and efficiency concerns. "Along with core improvements to our latest models, over the last few weeks we have driven down the latency with 1.5 Flash and significantly increased the output tokens per second, enabling new use cases with our most powerful models," Google's blog post said. Argota noted several key new features, including "Gems, personalized AI assistants," which allows users to create custom AI assistants for specific tasks. He also mentioned the Imagen 3 model, "an advanced image generation model that produces higher quality images from text prompts," and Gemini Live, which enhances conversational AI interactions through voice conversations. The price reductions and increased rate limits are expected to impact businesses. "The 15% price drop and increased rate limits is a big win for businesses looking to add AI to their workflows," Argota said. "The cost savings makes these advanced models more affordable, especially for startups and small businesses that were hesitant to get in due to budget constraints." Google's push to make its AI models more attractive to developers comes as competition in the sector intensifies, with rivals like OpenAI and Anthropic also vying for market share. The company is betting that these improvements will encourage more developers to build applications using Gemini, potentially leading to broader adoption of Google's AI technologies. "We continue to be blown away with the creative and useful applications of Gemini 1.5 Pro's 2 million token long context window and multimodal capabilities," the blog post said. "From video understanding to processing 1,000-page PDFs, there are so many new use cases still to be built." In addition to the production models, Google is releasing an experimental version called "Gemini-1.5-Flash-8B-Exp-0924," which the post said includes "significant performance increases across both text and multimodal use cases." The updates also include changes to the models' default filter settings, giving developers more control over content moderation. "For the models released today, the filters will not be applied by default so that developers can determine the configuration best suited for their use case," the post said. As the AI arms race continues, Google's latest move signals its commitment to remaining competitive in a rapidly evolving market. With these enhancements, the company aims to solidify its position as a provider of AI tools for developers and businesses. "Overall, a big win for businesses looking to add AI to their workflows," Argota said.

Google Announces New Gemini 1.5 Pro and Flash Models with Reduced Pricing and Improved Performance

Google has unveiled two updated production-ready Gemini models -- Gemini-1.5-Pro-002 and Gemini-1.5-Flash-002. The release includes a significant 50% price reduction for the Gemini 1.5 Pro model, faster output, and increased rate limits, providing more value for developers working with the Gemini API and Google AI Studio. Key updates include a 52% reduction in output token pricing, 2x higher rate limits for Gemini 1.5 Flash, and 3x higher rate limits for Gemini 1.5 Pro, coupled with improvements in model latency. These updates are designed to lower the overall cost of building with Gemini while improving performance in text, code, and multimodal tasks. "Two new production Gemini models, >2x higher rate limits, >50% price drop on Gemini 1.5 Pro, filters switched to opt-in, updated Flash 8B experimental model, and more. It's a good day to be a developer," posted Logan Kilpatrick, lead product manager at Google. The new models show improvements in benchmarks, such as a 20% gain in math-related tasks and up to 7% in Python code generation and visual understanding. Developers will benefit from a more concise response style aimed at reducing costs in summarisation and question-answering tasks. Additionally, Google is introducing new default filter settings, giving developers greater flexibility in configuring safety features. For Gemini 1.5 Pro, a long context window of 2 million tokens is maintained, while the input and output token prices have been reduced by 64% and 52%, respectively. The model is optimised for various tasks, including video understanding and large-scale document processing. Google has also launched an improved version of the Gemini-1.5-Flash-8B-Exp-0924 model, available for developers looking to test experimental updates via Google AI Studio. These changes aim to make the Gemini platform more accessible for production use and experimental development. Developers can access the updated models for free on Google AI Studio or through the Gemini API. Larger organizations can also access them via Vertex AI. These updates will be effective starting October 1, 2024. Google recently introduced DataGemma, a new open model that integrates LLMs with real world data from its Data Commons repository, using retrieval augmented methods like RIG and RAG to reduce AI hallucinations and improve the accuracy of generative AI outputs in research and decision-making contexts. Moreover, Google recently announced that YouTube is set to roll out advanced generative AI tools for creators in the coming months, enabling them to generate video content using the AI models Veo and Imagen 3 through a feature called Dream Screen. When is Google releasing Gemini 2? "That's the Magic question," quipped Kilpatrick in an exclusive interview with AIM. However, he said that the company plans to release Veo, Google Search Grounding, Gemini 2.0, and Agents next, tentatively expected to debut in the coming months. "I think it'll be fun to see what the next six months to a year look like as the trend of unlocking new developments continues," said Kilpatrick.

Google Reports 2 Million Developers Building With Its GenAI Solutions | PYMNTS.com

Google's artificial intelligence (AI) model Gemini is being put to work by companies in a variety of ways, delivering answers, recommendations and new capabilities to both customers and employees. More than 2 million developers are building with Google's generative AI solutions, the company said in a Tuesday (Sept. 24) media kit shared with PYMNTS. "We're inspired by what customers are building and excited how quickly they've been able to move ideas from experimentation into production with our Vertex AI platform," Thomas Kurian, CEO of Google Cloud, wrote in a blog post included in the media kit. "We're also seeing major boosts in productivity through Gemini for Google Workspace, with customers saving an average of 105 minutes per user, per week, according to our recent study of enterprise customers." Ahead of the global virtual event Gemini at Work, which will be held Tuesday, Google shared in the media kit examples of use cases of Google's generative AI solutions and the benefits they are delivering. Indonesian FinTech GoTo Group built an AI-based voice assistant that helps the users of its GoPay app find and use features by simply saying what they want to do. The voice assistant supports the country's national language, Bahasa Indonesia. Moving and storage solution provider Pods is using Gemini to help its marketing teams incorporate real-time location, time, weather and neighborhood data into advertising. Its initial campaign powered by this information increased requests for quotes by 33%. Sports company Puma is using Imagen 2 to create personalized product imagery in its online shop. By tailoring this content to different markets, the company is accelerating the time-to-market for its digital campaigns and improving click-through rates. Lawn, garden and growing product supplier Scotts Miracle-Gro built an AI agent that delivers tailored gardening advice and product recommendations. Used by field sales associates, this tool will soon be offered to consumers as well. Instant messaging app Snapchat deployed Gemini on Vertex AI to support its AI-powered chatbot, My AI. Since doing so, the app has seen more than twice as much engagement with its "Snapping to My AI" feature in the United States. Google also announced in the media kit that it is now including the standalone Gemini app as part of Workspace Business, Enterprise and Frontline plans, providing more companies' employees with an AI-powered assistant at work. In addition, Google Cloud introduced a new application called Customer Engagement Suite with Google AI that brings together the capabilities of its most advanced conversational AI products with omnichannel contact center as a service functionality.