Google is integrating advanced artificial intelligence (AI) technology into its advertising ecosystem, using generative AI powered by large language models (LLMs) to automate advertising processes and enhance ad-supported consumer services.
From the perspective of SMEs, Google’s integration of advanced artificial intelligence (AI) technology into its advertising ecosystem brings forth exciting opportunities. Internal sources indicate that specific Google teams are preparing to leverage PaLM 2-powered tools, empowering advertisers to create their own media assets and offering video content recommendations to YouTube creators.
Trained on vast amounts of text data, PaLM 2 has the ability to generate responses and commands that closely resemble human-like interactions. This empowers SMEs to utilise AI-powered tools and effortlessly create compelling media assets for their advertising campaigns, eliminating the need for extensive resources or specialised expertise.
Moreover, PaLM 2-powered tools can provide SMEs with valuable recommendations for video content creation on platforms such as YouTube. This feature taps into the burgeoning trend of video marketing, offering SMEs AI-generated ideas based on relevant topics. By harnessing the capabilities of AI, SMEs can enhance their video content strategies and effectively engage their target audience. Streamlining the creative aspect of advertising through automation allows SMEs to optimize their resources, reach a broader audience, and enhance the overall effectiveness of their ad-supported consumer services. This strategic move shows that Google’s committed to incorporating cutting-edge AI technologies across its core products. By embracing advanced AI technology, Google aims to enhance the advertising landscape and empower SMEs to thrive in an increasingly competitive digital marketplace.
Furthermore, Google has conducted tests using PaLM 2 on YouTube youth content, utilizing the technology to generate video titles and descriptions. Additionally, the company has explored the concept of providing creators with AI-generated video ideas based on relevant topics.
The rising trend of AI chatbots has gained significant momentum in the tech industry, captivating the attention of investors on Wall Street and major players like Google, Microsoft, Meta (formerly Facebook), and Amazon. To keep pace with this trend, Google and its counterparts are diligently integrating their most advanced models into a wide range of products. Google’s motivation to accelerate these efforts stems from concerns raised by the public release of Microsoft-backed OpenAI’s ChatGPT, which posed a potential challenge to the future of internet search.
PaLM 2 models are designed with stronger logic and reasoning abilities, benefiting from extensive training in these areas across multiple languages. This family of products, including the Gecko, Otter, Bison, and Unicorn versions, caters to different deployment scenarios in consumer and enterprise settings. Through fine-tuning on domain-specific data, PaLM 2 effectively addresses various tasks for enterprise clients.
“PaLM 2 models are stronger in logic and reasoning, thanks to broad training in logic and reasoning,” said Google CEO Sundar Pichai onstage at the company’s I/O conference. “It’s also trained on multilingual text spanning over 100 languages.”
Google aims to bridge the “AI gap” that exists between itself and competitors like Microsoft, who have integrated AI language tools into their Office software suite. Microsoft’s offerings include features for document summarisation, email composition, slide generation, and more. To maintain competitiveness, Google must keep pace with these advancements, implementing its AI research promptly. Please do so to avoid a perception of slower adoption and implementation of AI technologies, potentially impacting its market position.
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