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Microsoft Unveils New AI Features for Advertising and Search

  • Microsoft announced new generative AI features like Compare & Decide Ads and Copilot for its advertising and search platforms.

  • Compare & Decide Ads will let Bing Chat users evaluate options based on chosen criteria in a conversational format.

  • Microsoft introduced an Ads for Chat API, with Snapchat and Axel Springer's Hey_ being the first partners.

  • Copilot is an intelligent assistant that will provide recommendations to help advertisers with ads content.

  • Microsoft says these AI advancements will transform advertising and search by enabling more effective targeting and better user experiences.

searchenginejournal.com
Relevant topic timeline:
Main topic: Google is adding contextual images and videos to its AI-powered Search Generative Experiment (SGE) and showing the date of publishing for suggested links. Key points: 1. Google is enhancing its AI-powered Search Generative Experiment (SGE) by adding contextual images and videos related to search queries. 2. The company is also displaying the date of publishing for suggested links to provide users with information about the recency of the content. 3. Google has made performance improvements to ensure quick access to AI-powered search results. 4. Users can sign up for testing these new features through Search Labs and access them through the Google app or Chrome. 5. Google is exploring generative AI in various products, including its chatbot Bard, Workspace tools, and enterprise solutions. 6. Google Assistant is also expected to incorporate generative AI, according to recent reports.
Main topic: The use of generative AI in advertising and the need for standard policies and protections for AI-generated content. Key points: 1. Large advertising agencies and multinational corporations, such as WPP and Unilever, are turning to generative AI to cut marketing costs and create more ads. 2. Examples of successful use of generative AI in advertising include Nestlé and Mondelez using OpenAI's DALL-E 2 for Cadbury ads and Unilever developing their own generative AI tools for shampoo spiels. 3. There is a need for standard policies and protections for AI-generated content in advertising, including the use of watermarking technology to label AI-created content and concerns over copyright protection and security risks.
Main topic: The use of generative AI software in advertising Key points: 1. Big advertisers like Nestle and Unilever are experimenting with generative AI software like ChatGPT and DALL-E to cut costs and increase productivity. 2. Security, copyright risks, and unintended biases are concerns for companies using generative AI. 3. Generative AI has the potential to revolutionize marketing by providing cheaper, faster, and virtually limitless ways to advertise products.
Companies are adopting Generative AI technologies, such as Copilots, Assistants, and Chatbots, but many HR and IT professionals are still figuring out how these technologies work and how to implement them effectively. Despite the excitement and potential, the market for Gen AI is still young and vendors are still developing solutions.
The new Typeface app for Microsoft Teams uses generative AI to help enterprises scale their marketing efforts and produce personalized content at a faster rate.
Generative AI, a technology with the potential to significantly boost productivity and add trillions of dollars to the global economy, is still in the early stages of adoption and widespread use at many companies is still years away due to concerns about data security, accuracy, and economic implications.
Google is expanding the availability of its generative AI-powered search engine, Search Generative Experience (SGE), to India and Japan, allowing the company to test its functionality at scale in different languages and gather user feedback. Google is also improving the appearance of web page links in generative AI responses and seeing high user satisfaction, particularly among younger users who appreciate the ability to ask follow-up questions. This move comes as Microsoft has been offering its own generative AI-powered search engine, Bing, for months, aiming to compete with Google in the AI space.
The rise of generative AI tools has already had an impact on SEO strategies, with most professionals believing it presents opportunities but also requires caution and careful consideration due to risks and limitations; as AI continues to evolve, SEO strategies will need to adapt to incorporate predictive analysis, personalized content, and optimization for voice search, while still maintaining human oversight and creativity for high-quality content.
General Motors is expanding its collaboration with Google to explore the future use of advanced generative AI, aiming to revolutionize the customer experience and deliver new features and services.
Microsoft and Datadog are well positioned to benefit from the fast-growing demand for generative artificial intelligence (AI) software, with Microsoft's exclusive partnership with OpenAI and access to the GPT models on Azure and Datadog's leadership in observability software verticals and recent innovations in generative AI.
Generative AI tools are causing concerns in the tech industry as they produce unreliable and low-quality content on the web, leading to issues of authorship, incorrect information, and potential information crisis.
Microsoft is reportedly integrating its generative AI product, Copilot, into its cloud storage service, OneDrive, providing users with organizational features and more efficient file lookup, with the announcement potentially being made at the Power Platform Conference on October 3.
Microsoft expects its suite of generative artificial intelligence tools to achieve $10 billion in revenue faster than any other business in the software industry.
Generative AI is set to revolutionize game development, allowing developers like King to create more levels and content for games like Candy Crush, freeing up artists and designers to focus on their creative skills.
Conversational AI and generative AI are two branches of AI with distinct differences and capabilities, but they can also work together to shape the digital landscape by enabling more natural interactions and creating new content.
Microsoft has introduced new features to its AI chatbot, Bing Chat, including more personalized answers, an improved shopping experience, and an Image Creator powered by OpenAI's DALL-E 3.
Big Tech companies like Google, Amazon, and Microsoft are pushing generative AI assistants for their products and services, but it remains to be seen if consumers will actually use and adopt these tools, as previous intelligent assistants have not gained widespread adoption or usefulness. The companies are selling the idea that generative AI is amazing and will greatly improve our lives, but there are still concerns about trust, reliability, and real-world applications of these assistants.
Microsoft's fall event showcased its AI leadership with generative AI upgrades to Bing Chat, Windows Copilot, and more, as well as the introduction of new Surface models, further integrating AI into its offerings.
Microsoft and Google have introduced generative AI tools for the workplace, showing that the technology is most useful in enterprise first before broader consumer adoption, with features such as text generators, meeting summarizers, and email assistants.
Microsoft received an upgrade from Guggenheim, as the firm believes the positive impact of generative artificial intelligence will outweigh any potential struggles with Microsoft's Windows product and Azure cloud-computing business.
OpenAI's ChatGPT generative AI tool is reintroducing web search capabilities in partnership with Microsoft's Bing search engine, allowing users to access current and authoritative information, but the feature is currently limited to paying customers.
Generative AI, fueled by big tech investment, will continue to advance in 2024 with bigger models, increased use in design and video creation, and the rise of multi-modal capabilities, while also raising concerns about electoral interference, prompting the demand for prompt engineers, and integrating into apps and education.
Generative AI, such as ChatGPT, is evolving to incorporate multi-modality, fusing text, images, sounds, and more to create richer and more capable programs that can collaborate with teams and contribute to continuous learning and robotics, prompting an arms race among tech giants like Microsoft and Google.
Generative AI is expected to have a significant impact on the labor market, automating tasks and revolutionizing data analysis, with projected economic implications of $4.1 trillion and potentially benefiting AI-related stocks and software companies.
Microsoft has rolled out Copilot, a generative AI tool, to all Windows 11 users, allowing them to chat and interact with the AI assistant for various tasks and functions, although it is still in the early stages and limited in its capabilities.
Microsoft stands to profit from the growing adoption of artificial intelligence (AI) through its strategic moves in the field, which include integrating generative AI tools into its suite of productivity tools and its sizable investment in OpenAI's ChatGPT, potentially generating significant additional revenue and profits.
Meta Platforms showcased its new generative AI tools, including AI assistants, chatbots, and image generators, which could increase engagement with its apps and drive revenue for its messaging businesses, potentially propelling the company back into the $1 trillion club.
Meta Platforms has introduced new generative AI tools to its Ad Manager software.
Meta is launching generative AI features for advertisers, allowing them to create backgrounds, expand images, and generate multiple versions of ad text, aiming to assist brands and save time.
Google plans to add generative artificial intelligence capabilities to its virtual assistant, allowing it to provide personalized help with reasoning and generative capabilities on mobile devices.
Generative AI is transforming various industries, including telecommunications, banking, public safety, B2B sales, biopharmaceuticals, and creative agencies, by enhancing efficiency, improving decision-making, providing customer-centric solutions, ensuring safety and compliance, driving innovation, promoting adaptive learning, challenging the status quo, and offering holistic solutions.
Meta has unveiled new AI tools for advertisers, using image and text generation to make it easier for businesses of all sizes to create ads on its platforms, potentially boosting its advertising revenue. While automation saves time, some worry that AI tools could threaten jobs and compromise the quality of ads.
Google is introducing generative AI updates to the Google Home app, allowing users to ask questions and receive natural language responses, as well as create custom automations using generative AI code.
The BBC has outlined its principles for evaluating and utilizing generative AI, aiming to provide more value to its audiences while prioritizing talent and creativity, being open and transparent, and maintaining trust in the news industry. The company plans to start projects exploring the use of generative AI in various fields, including journalism research and production, content discovery and archive, and personalized experiences. However, the BBC has also blocked web crawlers from accessing its websites to safeguard its interests.
Generative artificial intelligence, like ChatGPT-4, is playing an increasingly important role in healthcare by helping individuals manage complex medical issues and potentially leading to new discoveries and treatments, according to Peter Lee, Microsoft Corporate Vice President of Research and Incubations. Despite its remarkable capabilities, Lee emphasized that GPT-4 is still a machine and has limitations in terms of consciousness and biases. Major companies like Microsoft, Google, Amazon, and Meta have heavily invested in AI, and Microsoft has integrated ChatGPT into its Bing search engine and Office tools.
Generative artificial intelligence (AI) is expected to face a reality check in 2024, as fading hype, rising costs, and calls for regulation indicate a slowdown in the technology's growth, according to analyst firm CCS Insight. The firm also predicts obstacles in EU AI regulation and the introduction of content warnings for AI-generated material by a search engine. Additionally, CCS Insight anticipates the first arrests for AI-based identity fraud to occur next year.
The addition of generative AI to Google Search could increase its energy consumption by more than tenfold, potentially resulting in a significant carbon footprint and environmental impact.
Adobe showcased its plans for generative AI technology in Photoshop, Illustrator, and other design apps at its annual MAX conference, including improvements to its AI image generation model, the introduction of a generative AI model for creating vector graphics, and the launch of a new AI model for generating templates for social media posts and marketing assets.
Generative AI start-ups, such as OpenAI, Anthropic, and Builder.ai, are attracting investments from tech giants like Microsoft, Amazon, and Alphabet, with the potential to drive significant economic growth and revolutionize industries.
Google is experimenting with a new feature within its AI-powered Search Generative Experience that allows users to generate AI images directly from within Google Search by typing a text description.
Google has announced new AI features for Google Search, allowing users to generate images and get writing inspiration using generative AI capabilities.
Google has introduced a new search tool called Search Generative Experience (SGE) that uses generative AI to create summaries in response to search queries, raising concerns among publishers about web traffic, attribution, and compensation.
Generative artificial intelligence (AI) is a subset of AI that uses machine learning to generate new data, designs, or models based on existing data, offering streamlined processes and valuable insights for various engineering disciplines.
The growing use of generative AI in search engines, such as Google's Bard and Bing AI, is likely to render search engine optimization (SEO) obsolete, potentially leading to the demise of the $68 billion SEO industry. As AI-generated answers improve in quality, users will rely less on browsing search result listings and instead get direct text responses, bypassing the need for SEO efforts. This shift would have a significant financial impact on SEO consultants, search engine marketers, and search engines themselves. However, the SEO industry is not expected to fade away immediately as generative AI search engines still face challenges and have yet to gain widespread trust from users.
Microsoft CEO Satya Nadella believes that AI is the most significant advancement in computing in over a decade and outlines its importance in the company's annual report, highlighting its potential to reshape every software category and business. Microsoft has partnered with OpenAI, the breakout leader in natural language AI, giving them a competitive edge over Google. However, caution is needed in the overconfident and uninformed application of AI systems, as their limitations and potential risks are still being understood.