CIO OPINION
Gartner predicts that by 2026 , 70 % of independent software vendors will have embedded , generative AI capabilities in their enterprise applications , which is a major increase from fewer than 1 % today .
Arun Chandrasekaran , VP Analyst , Gartner
Choosing the right Generative AI model for your enterprise
A flurry of AI models , generative applications , engineering tools have been released in recent months , indicative of the competitive jostling characteristic of high-stakes , early-stage markets , but are also confusing CIOs with an array of options , says Arun Chandrasekaran at Gartner .
The popularity of ChatGPT has sparked interest in the adoption of generative Artificial Intelligence , AI across industries . A flurry of AI foundation models , generative AI applications and AI engineering tools have been released in recent months .
While these rapid developments indicate the competitive jostling that is characteristic of most high-stakes , early-stage markets , they also provide enterprise IT leaders with a confusing array of options , making it difficult to choose the right deployment approach for generative AI . Gartner predicts that by 2026 , more than 70 % of independent software vendors , ISVs will have embedded , generative AI capabilities in their enterprise applications , which is a major increase from fewer than 1 % today .
To make informed decisions and derive value , Chief Technology Officers , need to understand the various approaches available and outline a decision framework for choosing one over the other .
Consume generative AI
Organisations can directly use commercial applications that have generative AI capabilities embedded in them . It is easier to deploy with low or no fixed costs required to start experimenting with generative AI capabilities .
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