"Google Boosts Search & Business Productivity with Gen AI"
Building on my earlier post about the Value Continuum – I’m examining how key First Movers in Gen A.I are seeking to Create Value for Customers, and Capture value in return. Like Microsoft, Google has also been a first mover on Gen AI. It’s actually led the way in using AI to improve the accuracy and relevance of its Search Engine Results & Ads.
Last year, Google made significant advancements with AI solutions and Gemini Era foundation models, powering the next wave of innovations. These developments are particularly beneficial to three main audience segments: Businesses, through Google Cloud and Workspace, Advertisers and end-users via it's Search Engine. Below, I'll explore some of these solutions and how each creates value for customers.
Google Cloud's AI Hypercomputer is a powerhouse for AI projects, allowing users to:
• Train cutting-edge models, making advanced AI research and application development accessible.
• Solve complex problems at an unprecedented scale by processing large datasets quickly.
• Innovate in AI and ML, cutting down the time and resources needed for model experimentation.
• Democratize access to advanced AI, opening doors for smaller entities to leverage top-tier AI technologies. This Hypercomputer speeds up model training and deployment by integrating Tensor Processing Units (TPUs), Graphic Processing Units (GPUs), and AI software. Ultimately, offering a cost-effective solution for running large and complex AI workloads.
Vertex AI is Google's answer for developers creating AI applications, streamlining the building, training, and deployment of machine learning models. It simplifies the AI model lifecycle, enabling:
• Quick model development and deployment, helping businesses market their AI-driven offerings faster.
• AI democratization, allowing companies of any size and individuals of varying AI expertise to develop and deploy AI models.
• Data-driven decision-making, with integration into Google Cloud's analytics services for actionable insights.
• Customized AI solutions for unique business challenges, enhancing customer engagement and competitive advantage. Vertex AI facilitates a more efficient and scalable approach to AI model development.
Duet AI enhances productivity and efficiency across workflows, acting as a virtual assistant, Duet AI....
• Automates routine tasks, such as email drafting and meeting scheduling.
• Creates various content formats, aiding in quicker content creation.
• Facilitates information discovery and analysis, extracting key insights from data.
• Enables multilingual communication, improving team collaboration across different languages.
• Personalizes user experiences with tailored suggestions and assistance. Duet AI supports marketing, sales, customer service, and development teams by automating tasks and enhancing collaboration.
Google's application of generative AI in Search includes the Search Generative Experience (SGE) which offers detailed responses and a richer search experience. SGE improves conversational interaction, personalization, and context awareness in searches, tailoring results to individual needs. Additionally, Google introduced Bard (now renamed Gemini), a conversational AI tool complementing its search engine and enhancing AI-powered solutions for advertisers.
Google has also evolved its AI solutions to assist advertisers in creating, managing, and optimizing campaigns. Key features include:
• Automated bidding strategies, like Smart Bidding and Performance Max campaigns, optimizing bids for better conversions.
• AI-driven insights and recommendations for campaign improvement.
• Automated creative generation and optimization, such as Responsive search ads and Dynamic search ads, for efficient ad creation.
• Enhanced audience targeting and personalization tools, like Customer Match and Similar Audiences, to reach relevant customers effectively.
Reflecting on my write up about Value Creation. Organizations create value for customers by meeting existing needs and exceeding expectations, addressing key pain points, and solving unmet or unidentified needs.
Just about every Business Leader is struggling to figure out how best to leverage Generative A.I, where to invest – what scenarios to pursue? Business Leaders are asking their teams tough questions.
• How should we leverage Generative A.I to gain a competitive advantage, create net-new revenue opportunities, evolve business models, generate operational efficiencies?
• How can we improve Employee Productivity, workflow automation, task augmentation - with Artificial Intelligence?
• Which companies should we Partner with and why?
Much like Microsoft, Google is leveraging its own Key Platform Ecosystems to provide positive loops of engagement to its key customer segments. On the advertising front, Google benefits immensely from the Network Effects enabled by its YouTube & Search Advertising Platforms. Its value proposition for Google Cloud and Google Workspace users will continue to evolve as it leverages its growing business ecosystem to offer AI solutions to Business Customers.
