Meta Platforms Announce AI Image and Text Generation for Ads
Meta Platforms has announced that it is adding tools to its generative AI ads suite that allow users to automatically create variations of images and add text on top of them. The tool, which the social media giant has hailed as a crucial safety feature, will launch in a test version without the watermarks that are currently applied to all images created by its user-facing Meta AI assistant.
The news is made at a time when Meta is investing billions of dollars in the development and maintenance of its generative AI models to persuade advertisers that automating the creative aspects of their campaigns will yield greater returns on investment.
Meta to add AI suite for image and text generation for ads
Advertisers can upload images of their products and use Meta’s image generation tool to create variations of those images, such as reorienting the products or showcasing users in different environments. Additionally, it adds the ability to directly overlay text onto generated images and broadens the range of text-generation options for headlines and key selling points.
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In the upcoming months, the company will allow advertisers to enter text prompts that can be used to customize image variations. Advertisers running campaigns in regulated industries like politics will not be allowed to use the products, just like previous generative AI tools.
Gen AI adoption
Advertisers have been more cautious about the new generative AI tools, but they have jumped at the chance to adopt AI ad tools that automate the placement of their campaigns in front of various user groups. Some brands are concerned that their logos or other intellectual property may end up in images created by others, and they have voiced their reservations about how tech companies will use any images they upload to enhance the models.
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Generative AI SaaS startup Onetab expands India operations
Mumbai: 22nd April, 2024: Onetab, the Generative AI SaaS startup kick-started by Saket Dandotia and Alok Patil has appointed three new senior members to strengthen its India operations. Harish Chouhan joins as Sr. Team Lead, Pratish Gopinath comes on board as VP – Corporate Development and Ankita Phanse joins as Head HR – Strategy & Planning of Onetab starting this financial year.
This team expansion comes as a step towards Onetab’s long-term growth strategy across India and global markets.
Harish Chouhan comes with over 17+ years of industry expertise which spans across multiple domains. He holds strong leadership acumen that motivates cross-functional teams to deliver high-quality results leveraging his familiarity with agile tools like Jira and Trello. Prior to Onetab, he was with Panamax Infotech, Linkites Pvt. Ltd, and InfoBeans Systems India Pvt Ltd. At Onetab he will be collaborating closely with the leadership team where he will contribute to strategic planning and execution along with fostering innovation, promoting excellence, and staying abreast of market trends and customer needs. He will play a key part in propelling Onetab toward its growth objectives and solidifying its position as an industry leader.
Pratish Gopinath will be based out of Bangalore where he will be spearheading the Bangalore office opening and hiring process. He will also look into identifying and executing strategic partnerships, investor and VC relations and hosting Onetab’s latest initiative One Bharat across multiple cities across India.
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Ankita Phanse comes with over 7 years of comprehensive experience in and around the scope of HR operations and Generalist HR affairs. She holds an MBA with dual specialization in HR and Finance, and her key role at Onetab is to leverage her expertise to develop and implement HR policies/processes and programs fostering a positive work culture at OneTab.
Speaking on the new appointments Saket Dandotia, Founder, Onetab said,
“I am excited for Onetab as we welcome Harish, Pratish and Ankita onboard. At Onetab we are currently on a growing spree, and we need a strong team with matches our long-term vision. With our new property, OneBharat, now activated and other activities in the pipeline, this step of hiring senior team members comes in sync with
our future goals.”
Onetab aims to provide seamless communication and collaboration with its proprietary custom LLM model, designed to revolutionize the way teams interact and work together. This feature of the start-up sets it apart from the current competition in the market.
For further media information, please contact:
Treize Communications
Sonam Shah|9819024410|sonam@treize.in
Harsh Sagar|8452854282|harsh@treize.in
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Mercedes-Benz and Google Strengthen Partnership for AI Powered Customer Experience
Mercedes-Benz and Google Cloud have expanded their strategic partnership. Google Cloud’s Vertex AI platform will assist the automaker in transforming important customer experiences through AI and generative AI (gen AI) technologies. Mercedes plans to integrate cutting-edge e-commerce features, such as a new intelligent sales assistant driven by artificial intelligence and search and recommendation capabilities comparable to those found on Google, into its online store. The company also plans to expand its use of Google Cloud AI to make its call center experience more seamless and helpful and will leverage AI and gen AI tools, including Vertex AI and Google’s Gemini models, to make its marketing campaigns more personalized and relevant to customers worldwide.
Mercedes-Benz to integrate Google Cloud’s AI technologies
With more and more of the car-buying process taking place online, Mercedes-Benz will be able to revolutionize e-commerce and turn its online storefronts into an extension of the showroom floor with the aid of Google Cloud’s AI technologies. Mercedes plans to introduce a new intelligent sales assistant on its website in 2024 using Google’s Gemini models. With the ability to communicate in natural language, the Mercedes-Benz Virtual Assistant (MVA) will be able to assist customers in finding the right car model, setting up a test drive, or even beginning a purchase. To make it even simpler for customers to search and shop, the automaker will also investigate integrating Google Cloud’s Vertex AI Search service into its websites.
Customers will be able to quickly find relevant car models and products on Mercedes’ website by using the smart sales assistant or the search bar, with enhanced e-commerce functionalities. Examples of these queries include “Newest EV models that seat five people” or “2024 red wagon.” Currently available in Germany and the UK, the Mercedes-Benz Virtual Assistant (MVA) is being implemented in European markets. In Europe and other countries, the smart sales assistant will be made available on websites by 2024.
Mercedes implementing Google Cloud’s conversational AI
Mercedes has also been integrating Google Cloud’s Dialogflow conversational AI technology into its call centers in the United States for the last six months. Since their launch, automated agents have assisted Mercedes customers in over 30 languages with ease, handling over a million calls and providing information on leases, payments, and upgrades. Mercedes intends to increase its use in additional markets, building on the achievements observed in the US. Mercedes’ decision to integrate conversational AI into its contact center operations will also enable its agents to spend more time helping clients with intricate requests that require human intervention.
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Lastly, to optimize the value of its customer data, which it handles using Google Cloud’s BigQuery data warehouse platform, Mercedes-Benz has also been utilizing the Vertex AI platform. The carmaker has been utilizing artificial intelligence (AI) to improve audience segmentation and personalize content on its US website.
Next-gen ADAS system
Mercedes-Benz is developing its next generation of Advanced Driver Assistance Systems (ADAS) with the help of Google Cloud technologies. Google Cloud will serve as the foundation for Mercedes’ Next Generation Internal Development and Test Platform for autonomous driving, enabling even more efficiency and flexibility in the company’s product development. The capacity of Google Cloud to handle enormous volumes of data and scale AI workloads will also contribute to the further advancement of AI-driven and intelligent vehicles.
With the announcement, Google and Mercedes-Benz have entered a new phase of their strategic partnership, which started in February 2023 when Mercedes-Benz chose the Google Maps Platform as the basis for its own branded navigation experience. As of right now, over three million customers can access trustworthy Place Details supplied by Google in their Mercedes vehicles. As part of the collaboration, YouTube has been integrated into Mercedes’ infotainment system, and the automaker is using several AI, data, and open infrastructure tools from Google Cloud.
Here’s what they said
Ola Källenius, Chief Executive Officer, Mercedes-Benz commented,
“Partnering with the very best in their respective fields is an important part of our software strategy – 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.”
Sundar Pichai, CEO of Google and Alphabet said,
“Mercedes-Benz has a long history of using technology to create exceptional experiences for their customers. We’re excited to help them apply Google’s advanced AI to engage with customers in new ways from improving customer service to optimizing their website experience, with much more to come from this collaboration in the future.”
Read More: WPP Partners with Google Cloud to Revolutionize Marketing with Generative AI
WPP Partners with Google Cloud to Revolutionize Marketing with Generative AI
WPP and Google Cloud have announced a new partnership that is set to revolutionize marketing. The collaboration, which was unveiled at Google Cloud Next’24 in Las Vegas, US, will see the integration of Google’s Gemini model with WPP Open, the company’s AI-powered marketing operating system that is currently in use by more than 35,000 employees and has been embraced by significant clients like Nestlé, L’Oréal, and The Coca-Cola Company.
WPP and Google Cloud forge partnership to revolutionize marketing with gen AI tech
With the new partnership, marketers will be able to use generative artificial intelligence (gen-AI) to accomplish tasks they could only “imagine.” This partnership aims to revolutionize marketing efficiency and effectiveness by fusing Google’s extensive knowledge in data analytics, generative AI (gen AI) technology, and cyber security with WPP’s end-to-end marketing capabilities, global creative scale, and brand awareness.
Google Cloud’s cutting-edge gen AI tools will be combined with WPP’s exclusive marketing and advertising data as part of the partnership. As a result, WPP’s clients will be able to use gen AI to produce brand- and product-specific content, acquire a better understanding of their target markets, forecast and explain content effectiveness with precision, and optimize campaigns through continuous adaptive processes.
Use cases for WPP and Google Cloud’s gen AI capabilities
WPP Open integrates with any client, partner, or technology provider to create optimized and automated marketing capabilities by leveraging WPP’s decades of experience serving enterprise clients. The partnership’s initial phase, which is a component of WPP’s yearly investment of £250 (316) million in technology, data, and artificial intelligence, is concentrated on the creation of the following four cutting-edge use cases:
Enhanced creativity with WPP Open Creative Studio
Google’s Gemini 1.5 Pro technology has been incorporated by WPP into Creative Studio, the company’s next-generation AI app that is a part of WPP Open and helps with tasks like creating headlines and converting sketches into images. More than just brand content and guidelines can be used as prompts thanks to Gemini 1.5 Pro’s large context window, which enables it to run one million tokens of information consistently. Examples of this include the brand’s color palette, fonts, voice, and even previous marketing campaigns. This makes it possible to create user interfaces that are much richer and more dynamic, and it also makes it possible to create content that is more creative and true to the brand.
Smart content optimization
WPP has improved the way it forecasts the performance of marketing content, even before campaign activation, by integrating Gemini 1.5 Pro into its AI Performance Brain service. This upgrade uses AI to predict how well marketing content will perform. With this update, predictions are made much more quickly and accurately. Additionally, the reasoning behind the predictions is enabled, providing better suggestions for content improvement. With the help of this effective tool, brands could be able to reinvest millions of dollars in only the most successful campaigns.
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AI Narration
By being the first to introduce real-time streaming capabilities for both description and narration, WPP is elevating the game in video description solutions. The system automatically generates modifiable video narration scripts using Gemini 1.5 Pro. The WPP partner ElevenLabs receives these scripts and uses them to create a realistic voice for the narration. This method allows for a personalized touch and speeds up the production of videos.
Hyper-realistic product representation
To produce better product images, WPP is redefining product representation with the help of Gen AI. This system incorporates the shape, design, and packaging of an actual product in addition to understanding a brand’s style guidelines (logos, fonts, colors, etc.) using Gemini 1.5 Pro and Universal Scene Description 3D file formats. The outcome is a comprehensive, brand-compliant, three-dimensional product image that is ideal for promotion and marketing.
Here’s what they said
Stephan Pretorius, Chief Technology Officer at WPP, said:
“This collaboration marks a pivotal moment in marketing innovation. Our integration of Gemini 1.5 Pro into WPP Open has significantly accelerated our gen AI innovation and enables us to do things we could only dream of a few months ago. With Gemini models, we’re not only able to enhance traditional marketing tasks but also to integrate the end-to-end marketing process for continuous, adaptive optimisation. I believe this will be a game-changer for our clients and the marketing industry at large.”
Thomas Kurian, CEO of Google Cloud, added:
“AI has the potential to unlock new levels of effectiveness for marketers, whether it is optimising campaigns, automating repetitive tasks like brand descriptions, or sparking entirely new ideas. This partnership brings the power of Google Cloud’s gen AI capabilities together with WPP’s marketing domain expertise to help our mutual customers create better campaigns that resonate with consumers in a deeper way.”
Read More: IPG Partners with Adobe GenStudio for Gen AI Powered Content Creation
IPG Partners with Adobe GenStudio for Gen AI Powered Content Creation
Interpublic Group (IPG) has become the first company to form a global partnership with Adobe to power content creation and activation across its operations. IPG is the first to incorporate Adobe GenStudio into its marketing technology platform throughout all of its global operations. Generative AI allows brands to expedite the ideation, creation, production, and activation of content.
IPG Integrates Adobe’s GenStudio for Gen AI-powered content creation
IPG’s engine, which automates and streamlines the entire customer experience. With this, brands can better engage, convert, and hold onto their audiences. This can be through earned, owned, and paid channels as well as individually. Using the combined power of Adobe Workfront, Adobe Experience Manager, Adobe Express, Adobe Firefly, Adobe’s family of creative generative AI models, and Frame.io, Adobe GenStudio powers the content supply chain within the IPG engine. IPG uses identity products and proprietary Acxiom data within the IPG engine. It helps to build more genuine connections with brands and a more accurate picture of the consumer. The IPG engine also makes use of the investments that marketers are already making in media and marketing technology. This will assist in integrating customer intelligence throughout the content engagement landscape,
Utilizing proprietary Acxiom data
IPG’s dedication to innovation is demonstrated by this collaboration with Adobe, which shows large investments in data, technology, and artificial intelligence. Adobe and Acxiom share a common goal of providing enhanced customer value via their identity and data products, which liberate value for customers by securing personalization in all-encompassing customer insights. The underlying capabilities of Adobe Experience Platform and Adobe Real-Time Customer Data Platform will be enhanced by Acxiom’s data and identity products, speeding up this endeavor and improving everything from AI-driven audience creation to identity resolution.
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Here’s what they said
Philippe Krakowsky, CEO of IPG said,
“Marketers today are looking to accelerate personalized connections with consumers, with an audience and commerce-led approach to every engagement. This new partnership with Adobe takes our capabilities to a new level. We’re deploying a unified operating system across our entire portfolio, fueled by data and audience insights, to craft content strategies that enhance human creativity with ethically sourced gen AI.”
Anil Chakravarthy, President, Digital Experience Business at Adobe added,
“Brands are struggling to meet the growing demand for digital content, particularly now that consumers rightly expect experiences to be personalized to their individual tastes and preferences and delivered in real-time. By leveraging Adobe GenStudio, IPG is bringing together comprehensive, best-in-class creative and digital marketing capabilities, fueled by generative AI, with IPG Engine to deliver its clients true content velocity at the speed of social.”
Jayna Kothary, Chief Solutions Officer, IPG stated,
“By harnessing Acxiom’s rich data resources, we’re able to amplify Adobe’s AI tools, enriching customer data profiles and delivering unparalleled insights for enhanced personalization, improved engagement, and superior outcomes. Our operating system transforms the way brands and marketers approach customer experiences, whether it’s for information, entertainment, or shopping. We’re excited to bring this offering to our clients and drive actionable growth for their businesses.”
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Google Integrates Gemini AI Into Search Ads Platform
As the consumer search experience changes, generative AI can help advertisers by improving ad effectiveness and expediting the creation of campaigns. Google has incorporated its latest AI model – Gemini – into the Search Ads platform to enhance advertising efficiency. Early Ad Strength scores, which gauge the relevance, caliber, and diversity of ad copy, have increased as a result of advertisers creating more effective search campaigns with less work. The goal of the integration is to facilitate the creation of ad campaigns and improve the way that advertisements relate to online searches as they change.
Enhancing search engine marketing with Gemini-powered chat in search ads
In the upcoming months, Google Ads will join the list of core products that will support Gemini, the company’s largest and most powerful AI model. To improve its advertising solutions, the tech giant is now testing Gemini. The conversational experience is presently powered by Gemini. English-language advertisers in the United States and the United Kingdom can now fully access the conversational experience in Google AdWords through beta access. Over the coming weeks, it will be made available to all English-language advertisers worldwide. In the coming months, Google will be adding more languages.
Through a chat-based interface, the conversational experience workflow is intended to assist in the development of search campaigns. It blends knowledge with Google AI. With its Gemini AI model, the company has introduced a conversational experience in Google Ads that runs on servers in data centers as well as mobile devices. Advertisers can create relevant ad content with a conversational experience. Advertisers have expressed that it can be difficult to produce captivating images that boost performance as search becomes more visual.
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What are the advantages for advertisers?
More advertisers now have access to a feature that may speed up and simplify the process of creating search campaigns, giving them more time to concentrate on other critical activities necessary to achieve favorable campaign results. A new chat-based feature in Google Ads is called the Conversational Experience. Generating text and assets more quickly, it facilitates optimization and speeds up the creation of search campaigns by combining knowledge with Google AI.
How does it operate?
Conversational experience can be helpful.
- Developing fresh search ad headlines and descriptions
- Coming up with pertinent keywords
- Proposed pictures
- Proposed links to websites
Advertisers only need to enter their websites to create these assets; Google AI will then create relevant ad content, including headlines, descriptions, images, and keywords. The selection of elements for their campaigns is entirely up to advertisers. They can also use the chat feature to tweak and modify the content that has been generated. All generative AI-created photos in Google Ads, including conversational images, will have an invisible SynthID watermark and open standard metadata.
Generative AI in search ads
Using generative AI and images from landing pages, Google has designed the conversational experience to suggest images specific to a campaign. This allows advertisers to approve all campaign assets—including images—before the campaign’s launch. Ads for small businesses that use Google AdWords’ conversational experience have a 42% higher chance of publishing search campaigns with “Good” or “Excellent” Ad Strength. Overall, advertisers ranging from “Poor” to “Excellent” see an average 12% increase in conversions.
Generative AI is expected to improve 84% of Google Search queries. It will result in an annual impact on ad revenue of over $40 billion. According to estimates, the industries most affected by technology are healthcare, e-commerce, and B2B technology.
Adopting a brave and conscientious AI strategy
Google is as excited about AI’s potential to create value for advertisers and customers alike as the industry is. As AI keeps developing quickly, new opportunities and use cases appear frequently. Google is still dedicated to creating and implementing this innovative technology responsibly. They will keep investigating the potential of artificial intelligence.
Here’s what they said
Tom Foster, Paid Search Manager at Page1 said in the blog
I found the conversational experience very easy to use. It helped me create even more high-quality ads with ‘Good’ or ‘Excellent’ Ad Strength, which has further improved the performance of my campaigns.
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Vodafone and Microsoft Sign 10-year Strategic Partnership for IoT, Cloud, AI and More
Vodafone, a mobile telecom provider, has signed a 10-year strategic partnership with Microsoft to provide generative AI, digital, enterprise, and cloud services to over 300 million businesses across Europe and Africa. Over the next ten years, Vodafone plans to invest $1.5 billion in cloud and customer-focused AI services created in partnership with Microsoft. Microsoft will also make use of Vodafone’s mobile and fixed connectivity services.
Strategic partnership covering IoT, cloud, generative AI
The partnership aims to transform Vodafone’s customer experience with Microsoft’s generative AI, hyperscale Vodafone’s leading managed IoT connectivity platform, develop new digital and financial services for businesses, particularly SMEs in Europe and Africa, and overhaul its global data center cloud strategy. Moreover, by April 2024, this will operate independently as a separate business. In addition to spurring growth in applications and broadening the platform to connect more machines, cars, and devices, the new business will draw in new partners and clients.
Introducing personalized digital services
Through the use of Microsoft Azure OpenAI capabilities, the partnership will use Generative AI to boost customer satisfaction and provide real-time, proactive, seamless, and hyper-personalized experiences across touchpoints. Additionally, it will make use of its distinctive benefits to reach over 300 million customers, public sector organizations, and businesses throughout Europe and Africa. TOBi, Vodafone’s digital assistant, will be included. Additionally, Microsoft Copilot will enable Vodafone staff members to change work procedures, increase output, and enhance digital efficiency.
With the use of cutting-edge generative AI technology, the new partnership will produce digital services that offer a highly customized and unique customer experience across a variety of channels. They will be based on Vodafone’s well-established framework for responsible AI, which includes impartial and moral privacy and security policies.
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Significant Collaboration Areas
The companies have identified five key areas of collaboration:
Generative AI
The companies aim to enhance customer satisfaction by utilizing Microsoft Azure OpenAI’s capabilities to provide frictionless, proactive, real-time, and highly personalized experiences across all Vodafone customer touchpoints. This includes the digital assistant TOBi, which is accessible in 13 countries. Employees of Vodafone will also be able to use Microsoft Copilot’s AI capabilities to change working procedures, increase output, and enhance digital efficiency.
Scaling IoT
Vodafone has launched a new standalone global Internet of Things (IoT) managed connectivity platform that connects 175 million devices and platforms globally. Microsoft plans to invest in this platform. Vodafone also intends to join the Azure ecosystem, opening the IoT platform through Open APIs to a large developer and third-party community.
Africa’s digital acceleration
Microsoft intends to help scale M-Pesa, Africa’s largest financial technology platform, by hosting it on Azure and enabling the launch of new cloud-native applications. A purpose-driven initiative being introduced by the companies aims to improve the lives of one million SMEs and 100 million consumers on the African continent. The objective is to provide digital services to the underserved SME market and improve youth outreach, skill development, and digital literacy initiatives. Through the creation of a community of certified developers, the partnership seeks to promote innovation in financial services.
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Enterprise growth
As part of its plan to become Europe’s top business platform, Vodafone will continue to commit to distributing Microsoft services, such as Microsoft Teams Phone Mobile, security solutions, and Microsoft Azure. In addition to supporting the estimated 24 million SMEs in Europe with a managed platform that expands with their company, this allows business customers to quickly adopt and operate Microsoft’s cloud-based services.
Cloud transformation
By updating its data centers to Microsoft Azure, Vodafone plans to expedite its cloud transformation. This will simplify and lower the operational costs of its IT estate while enhancing its responsiveness to customers. Vodafone will be able to replace numerous physical data centers with virtual ones throughout Europe as a result, streamlining and cutting the costs associated with running its IT estate. It will also be able to meet its energy requirements and advance its sustainable business plan.
Here’s what they said
Margherita Della Valle, Vodafone Group chief executive, said,
Today, Vodafone has made a bold commitment to the digital future of Europe and Africa. This unique strategic partnership with Microsoft will accelerate the digital transformation of our business customers and step up the quality of customer experience for consumers.
Satya Nadella, chairman and CEO, of Microsoft, commented,
This new generation of AI will unlock massive new opportunities for every organisation and every industry around the world. We are delighted that together with Vodafone we will apply the latest cloud and AI technology to enhance the customer experience of hundreds of millions of people and businesses, build new products and services, and accelerate the company’s transition to the cloud.
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Google Cloud Introduces New Generative AI Tools for Retailers
On the eve of the annual convention of the National Retail Federation, Google unveiled several new generative AI tools intended to improve the online shopping experiences and other retail operations of retailers. The tools make use of artificial intelligence technologies that are generative. They are made to make the implementation of chatbots and AI easier, enhance search, and produce more customized shopping experiences. One of these new products is an AI-powered chatbot that merchants can incorporate into their mobile apps or websites.
The most recent illustration of generative AI’s expanding impact in the retail sector is found in Google Cloud’s products. Retailers can modernize operations, personalize online shopping, and change in-store technology rollouts with the aid of these generative AI-powered technologies. These virtual representatives can converse with clients and make recommendations for products based on their likes.
Google Cloud unveils new generative AI tools for retailers
In addition, tools for improving retailers’ customer support systems and streamlining their product cataloging procedures are included in Google’s recently released AI products. In addition to e-commerce, physical stores are receiving new artificial intelligence capabilities via Google Distributed Cloud Edge, an already available hardware and software package.
All these areas seem to have a great deal of room for improvement. After using virtual assistants, only about one-third of customers are happy with them, and almost 20% say they wouldn’t use them again. Customers are still very interested in using AI, though. Eighty percent of those who haven’t used the technology for shopping would like to give it a try. The majority, or five9%, would like to use AI applications while they shop.
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New generative AI tools
Google’s offerings are aimed squarely at these issues. The new tools include:
Conversational Commerce
Similar to brand-specific ChatGPT, Conversational Commerce facilitates the joining of chatbots on websites and mobile apps. The salespeople converse with customers in plain language and make customized product recommendations depending on each person’s preferences. When it comes to products, they can have “helpful and nuanced” conversations with customers. Moreover, it offers recommendations based on their preferences.
Catalog and content Enrichment toolset
Google Cloud’s new Catalog and Content Enrichment toolset, which uses GenAI models—including the previously mentioned PaLM and Imagen—to automatically generate product descriptions, metadata, categorization suggestions, and more from as little as a single product photo, complements the Conversational Commerce Solution. Additionally, retailers can use the toolset to create new product images from pre-existing ones. Furthermore, it can also leverage product descriptions as the foundation for AI-generated product images.
For example, when a customer is looking for a formal dress for a wedding, a virtual agent can talk to them and offer customized product options based on their preferences for colors, the type of venue, the weather, complementary accessories, and price range. Importantly, rather than taking months, retailers can use these advanced conversation AI agents in a matter of weeks. This new solution can be integrated into a retailer’s current catalog management software or run on the Vertex AI platform on Google Cloud.
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Vertex AI
Additionally, Vertex AI Search for retail, a product from Google Cloud, has a new LLM capability. It provides retailers with natively embedded Google-quality search, browse, and recommendation capabilities on their unique product catalog and shopper search patterns. With the addition of new large language model (LLM) capabilities, Vertex AI Search enables sellers to tailor an LLM to their specific catalog and the search habits of their customers. By better ranking possible products as a fit for any given search term, it can give users more relevant search results.
Customer Service Modernization
Customer Service Modernization combines chatbots with an existing retailer’s CRM data. It enhances self-service, recommends products, sets up appointments, monitors order status, and more.
Google Distributed Cloud Edge
To lower IT expenses and resource commitments related to retail GenAI, Google unveiled the Google Distributed Cloud Edge. It is a managed self-contained hardware kit designed specifically for retailers. It is intended to facilitate retailers’ use of AI in places with spotty or nonexistent internet. Store analytics, frictionless checkout, and streamlined mission-critical store operations are currently its main use cases. The edge cluster, which powers customers’ GenAI apps, is said by Google to be compatible with a variety of retail spaces, including convenience stores, gas stations, fast-casual restaurants, and grocery stores. It comes in a range of sizes, from single-server to multi-server configurations.
Here’s what they said
Carrie Tharp, vice president of Strategic Industries, Google Cloud said,
In only a year, generative AI has morphed from a barely recognized concept to one of the fastest-moving capabilities in all of technology and a critical part of many retailers’ agendas. With the ability to accelerate growth, boost efficiency, fuel innovation, and reduce toil, generative AI solutions are ready to be deployed now, and Google Cloud’s recent innovations can help retailers recognize value in 2024.
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Amazon Ads Develops Special Solutions Suite for Advertisers in 2024
Amazon Ads has developed a special solution for advertisers after identifying several major trends that will influence digital advertising in 2024. The broader usage of generative AI, the growing uptake of streaming TV commercials by companies of all sizes, the use of clean rooms for campaign optimization, and the accelerating pace of investments in cutting-edge machine learning models are some of these trends.
Amazon Ads’ Solution Suite for Advertisers
Image generation tool
For the past year, the advertising business has been using generative AI as a semantic, with leaders praising its potential to completely transform creative development. Generative AI is expected to become a crucial tool for advertisers in 2024, enabling the effective creation of visuals for a brand at scale, according to Amazon Ads. Based on a poll done by Amazon Ads in March 2023, about 75% of advertisers said that developing ad creative and selecting creative formats were the biggest obstacles to creating effective campaigns.
Amazon Ads has introduced an image-generating tool for US advertisers taking part in Sponsored Brands campaigns to tackle this. With the help of this generative AI technology, brands will be able to develop lifestyle content. It can greatly enhance ad performance by removing creative limitations.
Sponsored TV for US advertisers
Large brands have always dominated the streaming TV ad market. But according to Amazon Ads, businesses of all kinds will start using the technology in the masses by 2024. Amazon Ads hopes to democratize access to streaming TV advertising with the introduction of Sponsored TV for US advertisers. With no upfront costs or minimum expenditure restrictions, the solution gives the same flexibility as Amazon’s sponsored ads and includes retail-aware, shoppable ad layouts.
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miniTV in India
Additionally, miniTV, an ad-supported free video streaming service, has been launched by Amazon in India. It offers advertisers the chance to engage in brand integrations. The Amazon.in, shopping app, site, Fire TV, and standalone miniTV app are all integrated with miniTV. Young adults, and health- and fashion-conscious consumers who enjoy traveling and trying out new things are among miniTV’s target demographics. Through miniTV advertisements, brands may offer viewers one-click access to their Amazon buying pages, enhancing brand recognition, purchase intent, and brand association without requiring them to exit the app.
Prime Video Ads
Amazon revealed that there will be limited advertisements for Prime Video movies and series worldwide beginning in early 2024. The goal of the move is to maintain and improve the platform’s content offerings while enabling the corporation to make long-term investments in more interesting films and TV series. Channels from Fire TV will be included as well. Fire TV has won over fans in India, where it is now their go-to source of entertainment.
In addition, the company emphasizes that there will be fewer adverts on Prime Video than on linear TV and other streaming platforms. With more than 150 million Fire TV devices sold worldwide, it provides a chance for advertisers to connect with viewers. They can also search and find new content. For an extra $2.99 (about INR 250) each month, users can enjoy Prime Video without any ads. On laptops, tablets, smartphones, and smart TVs, Prime Video provides movies and TV series in up to 4K quality.
Amazon Marketing Cloud (AMC)
Clean rooms are becoming a more popular tool among advertisers for campaign design, optimization, and impact measurement. Clean rooms allow marketers to analyze data from various sources and produce personalized marketing insights. The Amazon Marketing Cloud (AMC), a secure and encrypted clean room solution provided by Amazon Ads, enables advertisers to compile signals and obtain a thorough grasp of consumer behavior across several channels. In addition to reporting on cross-channel media performance, it can be used to supplement Amazon DSP’s reporting features.
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Amazon Publisher Cloud
Furthermore, Amazon Ads unveiled Amazon Publisher Cloud, the first and only clean room solution. It lets publishers use Amazon Ads insights to examine their first-party signals and optimize programmatic agreements for maximum reach.
Advanced Machine Learning Models
Advertisers need to emphasize relevance, protect the integrity of their insights, and uphold customer trust to reach incremental performance targets. Key tactics will include implementing model-based solutions, developing an engaged audience awareness, and generating outcomes. To remain relevant, advertisers are adjusting to a world without cookies, anticipating further investment in this area.
Amazon Ads expects a spike in investment in advanced machine-learning models. This is due to the constantly shifting consumer landscape and growing concerns around ad relevancy. Amazon DSP advertisers now have access to improved campaign control systems and new, more advanced machine learning models. To assist advertisers in forecasting and reaching highly relevant audiences at the lowest possible cost, these models analyze a variety of signals.
Based on an internal review conducted across US campaigns, Amazon Ads found that modeled audiences offer improved delivery and engagement rates, with a 25% increase and a 12% decrease in cost per click per impression. The average return on ad spend for US Amazon DSP ads has increased by more than one-third. It was largely due to the variety of buy, browse, and streaming signals.
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X Announces the Launch of its Generative AI Chatbot GrokAI in India
The generative AI chatbot GrokAI, developed by Elon Musk’s xAI, will now be accessible in India in addition to 46 other nations, including Pakistan, Australia, New Zealand, Singapore, Sri Lanka, and more. The announcement comes less than a week after it was made available in the US. GrokAI access will also be limited to X’s premium users in India. Grok faces competition from the likes of Google’s Gemini AI and OpenAI’s popular chatbot ChatGPT.
the following countries can now grok:
– australia
– bahamas
– barbados
– belize
– botswana
– cameroon
– canada
– dominica
– eswatini
– fiji
– gambia
– ghana
– grenada
– guyana
– india
– jamaica
– kenya
– liberia
– malaysia
– malawi
– malta
– mauritius
– namibia
– new zealand
-… https://t.co/P9YatfLF3h— X (@X) December 13, 2023
GrokAI chatbot accessible for Premium+ users
Currently, users of X Premium+, the highest subscription tier offered by X, can access the chatbot. Accordingly, users will have to pay INR 1,300 for a web subscription, INR 2,150 for mobile apps, and INR 13,600 for an annual subscription. In October 2023, X launched the Premium+ tier, which costs $16 per month and gives users ad-free access to both the algorithmic “For You” and chronological “Following” feeds on the platform. Other features include the ability to edit tweets, post longer text or video, and share ad revenue.
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GrokAI features
xAI had observed that, in contrast to other chatbots on the market, Grok has access to real-time information because of data from X. Conversely, ChatGPT and Google’s BARD compile data from a range of publicly accessible sources. These include Wikipedia, books, and online content. Additionally, the company mentioned that Grok has a “rebellious streak” and is made to “answer questions with a bit of wit.” Furthermore, according to xAI, Grok will respond to inquiries that popular AI chatbots now reject. Once GrokAI was released in the US, it has already generated a good deal of controversy for its clever answers to questions. Additionally, a lot of people claimed that GrokAI isn’t quite politically neutral like other chatbots.
Large language models powering the chatbot
Grok is built upon Grok-0, xAI’s proprietary large language model (LLM). Grok-0, which is trained with 33 billion parameters, can outperform ChatGPT’s GPT 3.5 language model, according to xAI.
Access to data
When the chatbot was first released, xAI claimed that it could access real-time data from X. Furthermore, the company guaranteed that its knowledge was current and applicable. The launch coincides with Elon Musk continuing to push for diversifying X’s revenue streams. He aims to do so by increasing subscription income and lowering the company’s reliance on advertising. The advertising revenue currently accounts for the majority of revenue but has suffered significantly over the past year.
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