New AI consulting and educational offerings By baking AI into platforms for developing software, creating marketing content and enhancing office productivity, Google sees an opportunity to drive more enterprise use of its cloud technologies.
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The announcements highlight Google’s broad strategy to infuse artificial intelligence throughout its software and services for business customers. Duet AI uses generative models and other AI throughout Google’s collaboration apps to assist with tasks like writing documents, creating data visualizations and improving productivity in meetings. Google also said the enterprise version of Duet AI for Google Workspace, its office productivity suite, is now available for pre-order after months of testing. This aims to give businesses more control and oversight of AI systems that directly impact their work and customers.
The new availability of generative models and tools in Vertex AI points to an expanding role for artificial intelligence in office software and business automation.Ī new offering called Generative AI Studio provides tools for customizing, improving and governing AI models in production use. Google believes its cloud services and partnerships can provide the expertise and resources needed to help mainstream businesses benefit from generative AI. Its Model Garden feature offers access to over 60 pre-trained AI models from Google and its partners that can translate between languages, summarize blocks of text, generate photorealistic images from descriptions and more.
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Vertex AI, Google’s machine learning platform, now provides full support for developing and deploying generative AI systems according to customers’ needs. But developing and deploying these complex AI systems requires significant expertise and resources, which Google is aiming to provide through its cloud services and partnerships. Tools like the company’s language model PaLM 2 can generate paragraphs of coherent text, while image generation software Imagen lets users create photorealistic pictures from scratch. This symbiosis of machine efficiency and human expertise is the secret sauce behind what makes conversational AI such a powerful tool for automating customer interactions.Google’s latest push into generative AI for business users comes as the technology is seeing wider interest and adoption. They are responsible for building, training and working alongside a virtual agent to automate large-scale interactions between brands and consumers, boosting self-service rates, decreasing the workload of their frontline colleagues and delighting customers in the process. AI Trainers are a new breed of non-technical, self-service professionals. By up-skilling members of their trusted customer service teams into AI Trainers, and not relying on external consultants or data scientists, companies are able to keep conversational AI on-brand. Helping customers and solving problems has long been the domain of customer service teams and it’s their expertise and experience that can be leveraged into ensuring that conversational AI achieves its potential. Technology is a crucial part of what makes customer service automation work, but it’s only one piece of the puzzle. AI Trainers: the secret behind customer service automation
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