๐๐ก๐จโ๐ฌ ๐๐๐๐ฅ๐ฅ๐ฒ ๐๐ข๐ง๐ง๐ข๐ง๐ ๐ข๐ง ๐ญ๐ก๐ ๐๐ฅ๐จ๐ฎ๐ ๐๐ ๐๐๐๐?
Itโs easy to look at these numbers and think itโs all about volume, however, thereโs a more nuanced story here. Traditional AI is still dominating the customer base across the board, and the reasons are clear: ๐๐จ๐ง๐ญ๐ซ๐จ๐ฅ and ๐ญ๐ซ๐๐ง๐ฌ๐ฉ๐๐ซ๐๐ง๐๐ฒ.
โซ๏ธ ๐๐ซ๐๐๐ข๐ญ๐ข๐จ๐ง๐๐ฅ ๐๐: Companies know what to expect, itโs proven, and they can exert greater control over it. Many organizations prefer this for their mission critical operations because of its ๐ฉ๐ซ๐๐๐ข๐๐ญ๐๐๐ข๐ฅ๐ข๐ญ๐ฒ and ๐๐ฅ๐๐ซ๐ข๐ญ๐ฒ. Microsoft and AWS clearly lead the pack here, with AWS leaning heavily towards this โsafe bet.โ
โซ๏ธ ๐๐๐ง๐๐ซ๐๐ญ๐ข๐ฏ๐ ๐๐ is exciting, powerful, but also the black box that many are hesitant to jump into. You see this in the numbers: even Microsoft, with the most generative AI customers, has only 46% of its AI customer base in this space. While the potential for ๐๐๐ง๐๐ ๐ข๐ฌ ๐ฏ๐๐ฌ๐ญ, ๐๐๐จ๐ฉ๐ญ๐ข๐จ๐ง ๐ข๐ฌ ๐ฌ๐ญ๐ข๐ฅ๐ฅ ๐ข๐ง ๐ ๐ฌ๐ฅ๐จ๐ฐ ๐ซ๐๐ฆ๐ฉ-๐ฎ๐ฉ ๐๐ฌ ๐๐ฎ๐ฌ๐ข๐ง๐๐ฌ๐ฌ๐๐ฌ ๐ญ๐ซ๐ฒ ๐ญ๐จ ๐ฎ๐ง๐๐๐ซ๐ฌ๐ญ๐๐ง๐ ๐ข๐ญ๐ฌ ๐๐ซ๐จ๐๐๐๐ซ ๐ข๐ฆ๐ฉ๐ฅ๐ข๐๐๐ญ๐ข๐จ๐ง๐ฌ, ๐๐ฑ๐ฉ๐ฅ๐๐ข๐ง๐๐๐ข๐ฅ๐ข๐ญ๐ฒ, ๐ซ๐๐ฅ๐ข๐๐๐ข๐ฅ๐ข๐ญ๐ฒ, ๐๐ง๐ ๐ฅ๐จ๐ง๐ -๐ญ๐๐ซ๐ฆ ๐ฎ๐ฌ๐ ๐๐๐ฌ๐๐ฌ ๐๐ซ๐ ๐ฌ๐ญ๐ข๐ฅ๐ฅ ๐ฎ๐ง๐๐๐ซ ๐๐ฏ๐๐ฅ๐ฎ๐๐ญ๐ข๐จ๐ง.
โซ๏ธThe message here from IoT Analytics is clear: the market is being driven by companies who are looking for more control and less black box. The more traditional AI approach is here to stay as the trustworthy choice, while generative AI remains a bit on the sidelines as businesses evaluate how to integrate it more seamlessly into their strategies.
๐ก๐ผ๐๐ถ๐ฐ๐ฒ: The views within any of my posts, or newsletters are not those of my employer or the employers of any contributing experts. ๐๐ถ๐ธ๐ฒ ๐ this? Feel free to reshare, repost, and join the conversation.