We Used Google’s Conversational AI Platform – Bard

We Used Google’s Conversational AI Platform – Bard

We played with Google’s conversational AI platform – Bard. Generally speaking, Bard’s responses were fast and accurate, albeit high-level. Bard exceeded my expectations on the accuracy front. Speed was never an issue from my perspective.

We posed a question to Google’s Bard. The AI’s response (below), did a fine job of covering the high level topics that a prospective acquirer should consider (based on my experience). One would expect Bard to provide more nuanced and detailed content under each bullet point below as the AI builds upon its knowledge repository over time. The same holds true for Microsoft’s ChatGPT – its answers will become more comprehensive as its knowledge base across various domains deepens.

The very question I asked of Bard will be tagged and used to train the AI on the topic of M&A. Google has teams of people who review questions and Bard responses to ensure that data is tagged properly so that the machine/AI trains itself properly.

I believe the conversational AI space will evolve over the years as follows:

  • Google’s Bard and Microsoft’s ChatGPT will be the two dominant conversational AI platforms across domains.
  • Niche conversational AI platforms will specialize in a particular domain(s) and will be rich with detailed data with which to train the platform. For example, Solera Holdings may build a conversational AI that would specialize in auto repair. Bloomberg may build a platform specific to Financial data – in particular Fixed Income securities which is Bloomberg’s core business.
  • Microsoft and Google may acquire niche conversational AI platforms over time to bolster ChatGPT and Bard respectively. Interestingly, one of the fields ripe for conversational AI is healthcare and both Microsoft and Google already have a footprint there – MSFT through its acquisition of Nuance and Google through its Google Health division.