Daniel Nissan: The Unlimited Power of GPT for Channel Marketing
Manage episode 365423223 series 3348103
If you’re like me, you’ve been testing out the unbelievable capabilities of generative AI on sites like ChatGPT and DALL-E. Their ability to generate text and images from natural language defies comprehension. While new technology is always a threat to the status quo, smart folks are thinking about how to leverage this technology to develop new products and launch new careers.
One such individual is Daniel Nissan, Founder and CEO of StructuredWeb. Daniel has the mind of an engineer and the spirit of an entrepreneur. He and his company have developed the first channel content generation engine using generative AI called ChannelGBT. Daniel shares the boundless potential Channel GBT to transform the way channel partners create highly customized marketing materials.
KEY TAKEAWAYS
Here’s what I learned from Daniel about generative AI and ChannelGBT.
- GPT stands for Generative Pre-Trained Transformer. It a very large language model. The power of GPT stems from the size, speed and training of the model.
- The cost to develop and train a GPT model can be hundreds of millions to billions of dollars. That’s why we see companies like Google, Microsoft, and Amazon behind these advancements.
- The cost is forecasted to drop by 80% to 90% over the next five years, which will bring new entrants and even greater advances in the technology.
- StructuredWeb looked for ways to bring GPT to the channel in a simple way that doesn’t require people to become experts.
- ChannelGPT addresses the long standing challenge of generating and customizing a wide range of marketing content for partners.
- With ChannelGPT you can take generic content and generate highly specific content for a particular industry, use case, market segment, even in a different language.
LINKS & RESOURCES
- Follow Daniel on LinkedIn
- Learn more about ChannelGPT
- Sign up for RAGBRAI, the great bike ride across Iowa!
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