Sramana Mitra: One of the things that I’m excited about in what’s happening right now is the smaller businesses’ ability to afford technology. For that to be more and more interesting, there will need to be more and more interesting technology available at really low prices that are affordable for the small businesses. That opportunity is still very big.
>>>Apple (Nasdaq: AAPL) recently announced its fourth quarter results that continued to outpace market expectations. iPhone sales appear to have made a rebound. Apple is counting on its AI-initiatives to further drive sales of its hardware. But it is early days to see if that strategy will truly pay off.
>>>Sramana Mitra: That is absolutely correct in the examples that you’re giving. There is one thing I want to point out for the audience. Remember when software was being sold by large companies to large enterprises. Back then, this whole category of software companies came in and priced very low SaaS offerings and started selling to SME.
That was a very different business, and their customers are really the no-name customers. That was the strategy that they followed successfully. So that is a valid strategy.
>>>Sramana Mitra: So coming back to what you said about the data not being a long-term defensible mode, my follow-up question on that is, what is in your view and in the portfolio that you are developing in this field, what are you envisioning as a defensible mode?
Benjamin Narasin: So my thesis or hypothesis is that this will be very similar to the early days of the web.
>>>Sramana Mitra: We have a question from the audience. Sanjeev Munjal is asking, “Does this mean that businesses with a lot of historical data can generate LLMs better for sectors like banking, insurance, etc.?”
Benjamin Narasin: Well, that’s somewhat my point—it’s a temporary advantage if a business has historical data.
>>>Sramana Mitra: Before we move on to the next example, Ben, what kinds of insights are being tracked by this AI chief of staff?
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