Framework and Lessons Learned from Building a Generative AI Application

Abstract: 

In this session, Jason will delve into the world of building Generative AI applications and the invaluable lessons learned along the way. Join Jason for a captivating session that unveils the framework behind crafting cutting-edge Generative AI solutions and the key takeaways that pave the path to success.

Jason will discuss:

- The foundational framework for developing a robust Generative AI application
- Invaluable insights gained from real-world experiences and challenges faced during the development process
- Lessons learned from overcoming obstacles and refining the application

Using AI to create personalised ad copy can increase the likelihood of conversion by analysing data on user behaviour and preferences to generate ad copy that speaks directly to the user's interests. However, there are risks associated with AI-generated content, such as the risk of being perceived as inauthentic or lacking emotional depth. Additionally, data privacy and security concerns arise as AI algorithms require access to large amounts of user data to function effectively. To address these risks, it's essential to incorporate human oversight and input into the AI-generated content creation process and ensure transparency around data collection and usage.

Examining case studies of successful AI-powered campaigns can illustrate the power of AI in social media marketing. For example, Airbnb uses AI to personalise its social media ads based on the user's browsing history and search behaviour, resulting in a 14% increase in bookings. Similarly, Spotify's Discover Weekly playlist uses AI to curate personalised music recommendations for each user, which has been highly successful on social media with users sharing their playlists on Twitter and Instagram.

In conclusion, AI-generated content has the potential to transform social media marketing by providing unique and compelling content at scale. However, it's essential to consider the risks and limitations of AI and use it in a responsible and ethical manner. By doing so, businesses can stay ahead of the competition in today's fast-paced digital landscape.

Bio: 

Jason Tan is the Founder of Engage AI, a Conversation Copilot that remembers conversations across multiple channels to augment conversations in virtual and real-life. Since its release in Jan 2023, over 30,000 users worldwide have been using it to break the ice and engage with their prospects. Taking the learnings from implementing Engage AI, he also assists and shares the learnt lessons with enterprises to embrace and incorporate Generative AI and Large Language Models into their business.

Open Data Science

 

 

 

Open Data Science
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Cambridge, MA 02142
info@odsc.com

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