How To Navigate The Complexities of Generative Content and Copyright

Are you lagging behind in the world of generative AI tools? 

Join us on today's episode as we explore the complexities of generative content and copyright with a true data scientist - Matt Ranta from Nimble Gravity - who knows the power of experimentation and iteration! Learn how your business can accelerate growth and productivity by utilizing these tools. Don't let fear hold you back, instead learn how to use these tools to your advantage. 

ABOUT MATT:

Matt Ranta, a digital dynamo and Head of Practice at Nimble Gravity, revolutionizes Digital Transformation, E-Commerce, and Strategy for clients ranging from startups to billion-dollar giants. Tackling diverse industries like healthcare, DTC clothing, and endangered species protection, Matt's expertise propels businesses into the future with data science, digital strategy, and cutting-edge e-commerce solutions. With his team at Nimble Gravity, Matt redefines success by transforming the way organizations operate and excel.

Here’s a summary of the great stuff that we cover in this show:

• Generative AI can be used to create massive amounts of SEO friendly content and accelerate growth for e-commerce businesses by generating articles, blogs, product photography, and more. Using a short prompt, the AI generates content in seconds, saving time and money while increasing productivity.
• Artificially generated content may be penalized by search engines like Google, so businesses need to find the right mix of using AI and human editing to create unique and factually accurate content.
• The use of generative AI for written content is currently the largest area of application, and it can replicate a brand's tone of voice and values. Nimble Gravity utilizes generative AI usage regularly for tasks such as content creation.
• They use data science to extract insights from an organization's data quickly and iteratively, combining industry expertise, technology, and mathematical algorithms to output models around customer interaction and foot traffic for marketing messaging and placement modification.
• Smaller eCommerce businesses can utilize productized data science platforms and conduct regression studies in Excel or Google Sheets, to understand their data and create hypotheses. Being a data scientist is more about being curious and willing to experiment with data.
• Matt says that the biggest opportunity that e-commerce entrepreneurs are not taking advantage of is AB testing, which can increase the outputs of their e-commerce operation. Even if their website doesn't have enough traffic, they can still do lo-fi testing and iterate to see if they can increase their conversions.

For complete show notes, transcript and links to our guest, check out our website: www.ecommerce-podcast.com.