I cover consumer-centric insights and analytics that provide executives with solutions needed to drive strategy. I am the CEO of Prosper Business Development where, for more than 20 years, we have provided market leadership and developed contemporary solutions to help Fortune 500 companies navigate change that impacts their business.
Generative artificial intelligence is changing how we interact with technology, create content, and run our businesses at a rate not seen since the early days of the internet. Conversation around this exciting technology is everywhere, and interest in its potential across all industries has been dominating headlines, online webinars, and corporate events for some time now.technology that will have the most impact on their business in the next three years.
All generative AI applications are built on foundation models that are trained on huge amounts of data. Different types of models are trained for different purposes. For example, Large Language Models can be used to generate text, answer questions, and help developers code, while Diffuse FMs are used to create and edit images, videos, as well as 2D and 3D models.
Many small businesses struggle to separate good quality data from bad and suffer from fragmented and siloed data sources. Adopting a cloud data strategy, supported by modern data architectures like data lakes , can remedy this and leave SMBs in a strong position to implement generative AI. Legal parameters around the use of generative AI are evolving rapidly. Staying up to date with the latest copyright infringement and intellectual property laws is essential for any business using generative AI. SMBs should avoid sharing content that closely resembles that of other companies or creators, while also taking steps to avoid their own data being used to train other FMs.
Post-Pandemic Consumer Machine Learning Genai FOMO Technology SMB Llms Diffuse Fms
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