In the podcast episode of Intel’s “Code Together” series, AI, Advertising, Entrepreneurship and oneAPI – How SiteMana Innovates Solutions Using oneAPI , host Tony Mongkolsmai interviews Peter Ma, the co-founder of SiteMana , a company focused on AI prediction for user buying intent in the AI and advertising space. Peter, who has founded multiple companies, shares insights into SiteMana’s approach and the role of oneAPI in their operations. SiteMana specializes in AI prediction by analyzing 200 different parameters, including online behavior and offline information, to determine a user’s likelihood of making a purchase. This prediction allows online shop owners to retarget customers more effectively based on their preferences. Peter emphasizes that while the technology itself isn’t new and has been used by major players like Amazon, Facebook, and Google, SiteMana aims to empower small businesses to compete on a larger scale by providing similar capabilities. The integration process for SiteMana is simplified, requiring just one line of code that customers can implement within 15 to 30 minutes, making it an accessible and powerful tool for conversion rate optimization (CRO). Tony acknowledges the significance of SiteMana’s focus on personalization, which goes beyond general analytics to target specific individuals based on their purchasing intent. Peter explains that their goal is to help customers personalize down to a granular level, ensuring that marketing efforts are directed toward those with a high likelihood of making a purchase. The conversation then shifts to oneAPI, and Peter highlights its advantages in streamlining AI development from training to deployment. He mentions the challenge of dealing with numerous libraries. He emphasizes that oneAPI helps consolidate the process into a single library, making it easy and fast for developers to bring their AI models into production. SiteMana specifically incorporates the following tech stack: PyTorch* with Intel® oneAPI Base Toolkit , Intel® oneAPI Deep Neural Network Library (oneDNN) , and Intel® oneAPI Math Kernel Library (oneMKL) , along with bigdl-llm library for 4-bit inference running on Intel® Data Center GPU Max 1100 . Tony explores the benefits that SiteMana’s customers experience, particularly in email retargeting and ad retargeting. Peter explains that their focus on customers with high-purchasing intent ensures relevance and avoids spam, offering a more sustainable approach than broad retargeting strategies. As the discussion continues, Peter shares the evolution of SiteMana’s idea, originally centered around AI-based testimonials. However, they pivoted when they realized the challenges of creating convincing testimonials from regular users. This shift led them to focus on extracting emails for targeted marketing, which eventually became the core concept of SiteMana. The conversation takes a broader turn as Peter reflects on the entrepreneurial journey. He emphasizes the importance of understanding what customers are willing to pay for rather than just pursuing one’s ideas, drawing parallels between being an entrepreneur and an artist. He noted that initially, the focus should be on meeting customer demands before expressing personal creativity. Tony explores the challenges engineers face in transitioning from an idea-driven mindset to a business-focused perspective. This sparks Peter to emphasize the need to remove personal ego and recognize that success in entrepreneurship comes from solving real problems for customers. The conversation delves into the impact of new technologies like ChatGPT. While acknowledging the demand from customers for such technologies, Peter remains cautious about their actual revenue-generating potential. He emphasizes the importance of staying focused on customer demands and avoiding distractions from trendy technologies. Peter concludes the interview by discussing the mindset required for entrepreneurship. He contrasts the risk tolerance of an entrepreneur with the desire for security often found in corporate jobs. He emphasizes his passion for both the excitement and challenges inherent to the path of entrepreneurship, highlighting the role models he admires, such as Steve Jobs and Elon Musk. We encourage you to check out Intel’s other AI Tools and Framework optimizations and learn about the unified, open, standards-based oneAPI programming model that forms the foundation of Intel’s AI Software Portfolio. The Guests: Peter Ma – Co-Founder SiteMana References ChatGPT & Wolf, A. (2023, January 16). Summarize the main points from the following transcript. https://chat.openai.com You must be a registered user to add a comment. If you’ve already registered, sign in. Otherwise, register and sign in.
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