Ricardo Madan, Senior Vice President and Head of TEKsystems Global Services. Read Ricardo Madan's full executive profile here.
It’s been almost a year since generative AI launched into the technology stratosphere with ChatGPT. While many companies are learning to work with a new generation of AI copilots, many more are still standing on the ground. Undoubtedly, AI is creating excitement on one end and anxiety on the other, affecting the culture inside companies and driving decisions that will determine organizations that become leaders and those that become laggards.
This includes using generative AI to create synthetic data that augments real-world source data, which can help when companies do not have enough material upon which to train machine learning models, or when confidential or sensitive data cannot be shared due to privacy concerns. Beyond leveraging PaLM as a gateway to other foundation models, modernization efforts such as this seize upon go-forward innovation by optimizing through AI while also driving efficiencies by deploying related code bases faster—using large language models to generate output.
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