Ravi is the Founder and CEO of Exafluence, an IT services and data analytics firm utilizing Gen AI to transform data into decisions. Read Ravikiran Dharmavaram's full executive profile here.
Even with the headline coverage generative AI has received, we’re still very much in the early adoption phase of the technology. Some businesses have successfully implemented GenAI, but for many others, issues stemming from the black-box nature of the technology have kept them at arm's length.
While this process delays data scientists themselves from advancing their work, there is a larger business impact to consider. Modern businesses are seeking the capability to make data-driven decisions, and many are turning to data scientists is still a multistep process, requiring human experts to select the proper data and execute frequent quality assurance checks.
Given the ever-increasing amount of data businesses are seeking to collect and analyze, the efficiency generative AI brings to machine learning and modeling will likely only become more valuable.Smart devices like wearables, smart home solutions and mobile devices have essentially become personalized, local data centers. Millions of data points captured from built-in sensors stream to businesses, often providing them with more information than they know what to do with.
Businesses are faced with a challenge to maximize the data available to them and build AI-IoT networks that produce reliable results for users. Fromto providing targeted product recommendations based on learned routines, LLMs are starting to help businesses better understand their customers. In the near and far future, LLMs will likely be one of the largest value adds for customer-facing businesses, even if this isn’t in the form of a friendly support chatbot.
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