Google's AI Innovations and Industry Impact

The Dawn of Multimodal AI: How Google's Gemini is Redefining Human-Computer Interaction After OpenAI, it was Google's turn today. It's groundbreaking AI model, Gemini, is ushering in a new era of multimodal human-computer interaction. By seamlessly integrating vision, text, and speech, Gemini demonstrates remarkable capabilities that closely mimic human perception and cognition. This has the potential to transform the way we work, learn, and interact with technology. I can visualize widespread applications which can impact various industries. In the healthcare sector, Gemini could assist doctors and nurses by analyzing patient data, including medical images and electronic health records, to provide real-time insights and recommendations. This could lead to faster diagnoses, personalized treatment plans, and improved patient outcomes. For the retail and e-commerce industry, Gemini could enhance customer experiences by offering virtual shopping assistants that can understand and respond to customer queries, analyze product images, and provide personalized recommendations. This could result in increased sales, reduced customer support costs, and improved customer satisfaction. In the education sector, Gemini could revolutionize the way students learn by providing intelligent tutoring systems that adapt to individual learning styles and needs. By analyzing student performance and engagement, Gemini could offer targeted feedback, personalized learning materials, and real-time support, ultimately improving educational outcomes. For the manufacturing and logistics industry, Gemini could optimize supply chain management by analyzing data from sensors, cameras, and other sources to predict demand, identify potential issues, and streamline operations. This could lead to reduced waste, increased efficiency, and improved profitability. In the financial services sector, Gemini could enhance fraud detection and risk assessment by analyzing vast amounts of transactional data, customer behavior, and market trends. By identifying patterns and anomalies in real-time, Gemini could help prevent financial crimes and protect customers' assets. Businesses that embrace these technologies and adapt their strategies accordingly will be well-positioned to stay competitive in the era of intelligent human-computer interaction. Any other use cases you can think of in your industry? PC - Google | Project Asra #GoogleIO2024 #GoogleIO

AI is quietly rewriting the rules of Search. Today’s Google earnings might make it loud. Alphabet Inc. is expected to post $79B in revenue and 13% YoY EPS growth for Q2. On paper, things look solid. But beyond the top-line numbers, the most important trend to watch isn’t revenue. It’s how search is changing, from within Google itself. According to Semrush and other industry trackers: LLM-powered search already accounts for 4% of global queries → 13–17% of desktop Google searches now show AI overviews → In info/entertainment categories, LLM summaries show up in 50%+ of searches → By 2026, LLM share of search is forecast to hit 17% → By 2028, it may fully surpass traditional search This pace of change could even beat mobile search’s rise, which took 7 years to overtake desktop. And this is all happening inside Google, before OpenAI or Perplexity even enter the mainstream search habits of the average user. So if you’re a founder and SEO is core to your discovery strategy, this shift should be sounding alarms. The next 12 months are going to be critical for adapting. You need to understand: → How AI tools are presenting your brand → Whether you’re showing up in LLM answers → And how to optimize for a world beyond blue links If you're trying to figure out your next steps here, my former if(we) colleague Billy Leung is building Datacy, one of the first tools focused on AI Results Optimization (AIRO), helping companies audit and improve their presence in AI-generated search. His startup is definitely worth checking out, among others. It’s early, but this space will grow fast. → Consumer behavior is evolving. → Discovery is being rewritten. → The next generation of growth channels is already here. How are you adapting to this new era of search for your business? Lmk in the comments below! 👇🏾 ---— 👋🏾 Want more startup advice and tech news? Follow me here: Justin Gerrard And check out my podcast: Rush Hour Podcast ♻️ Repost if you think someone in your network would benefit! #google #alphabet #earnings #search

While I am personally most excited about the AI virtual teammates coming from Google, the implications of AI shifting to search will have the most immediate impact on marketing teams: "The new AI-powered search will have a “profound impact on organic search traffic,” Natalie Lambert, founder and managing partner at GenEdge Consulting, an AI consulting company, told PYMNTS. “For example, when researching a new topic or a new desired item, people tend to ask basic questions like, ‘What is a mirrorless camera?’ or ‘What is the best mirrorless camera for traveling?’ Lambert added. “There is enough data on the internet to enable AI to answer these questions with authority. “Unfortunately, it is these questions that companies have built their SEO practices around. This is why [management consultant] Gartner has stated that ‘by 2028, brands’ organic search traffic will decrease by 50% or more as consumers embrace generative AI-powered search.’ I think it could be higher than this if Google starts rolling this out now for all users.” Lambert emphasized that companies must update their strategies due to changes in search behavior. They need to ensure that search engines have the latest information, possibly using AI to refresh content summaries regularly. To stand out in searches, businesses should target precise, long-tail keywords that closely match specific consumer needs, like “The best mirrorless camera for beginners with great autofocus for wildlife.” Moreover, since visitors now arrive at websites better informed, companies should focus on converting these well-prepared prospects into customers."

Google's AI updates have expanded to search, but will they undo years of SEO? Called AI Overviews, Google's search engine is now powered by its LLMs: MUM, PaLM2, and a customized version of Gemini. Foundation Capital portco Jasper published a helpful breakdown of the updates and their impacts on users, traffic, and SEO. From a user perspective, the changes are great. AI will help locate relevant information faster in three ways: 1 - Understanding complex, nuanced, and descriptive queries 2 - Displaying results through quick summaries that may not require a website click 3 - Guiding users to relevant follow-up questions However, there are challenges for marketing teams on the traffic and SEO front: If Overview summaries are valuable, website clicks may decrease (emphasis on “if” because issues of inaccurate information are not going away, for now). Users may develop “Overview blindness,” eventually ignoring AI summaries, much like banner ads. Regardless of which hypothesis is realized, I believe that AI Overviews will demand better content from companies and improve users' search experiences. Do you agree? Check out Jasper's guide for more info: https://lnkd.in/gc7U92Kd