Companies I assisted in defining their AI/ML innovation adoption

I’ve had the chance to influence various AI/ML integrations within business and customer processes. When working with AI, I advise platforms to consider AI/ML from the beginning of development, rather than focusing only on technical modeling in isolation. Understanding AI’s potential allows development teams to create scalable design documents that integrate smoothly into the platform.

BEST BUY – Best Buy’s Ads platform leverages AI/ML to automatically generate keywords, improving audience targeting. The system can produce hundreds of relevant keywords for a customer with just one click, or users can manually submit keywords. The UX design prioritizes the prime real estate for AI keyword generation, with manual submission as a secondary option.

Amazon – Developing predictive analysis dashboards using AI/ML to assess vendor relationships for new customer opportunities and improve business efficiency and revenue.

Apptentive – Developing AI/ML technology to analyze open-ended feedback and customer sentiment. ML analyzed customer data and augmented it with Fan Signals, providing vendors with insights into customers’ Lifetime Value (LTV).

BitTitan – Developing AI/ML technology to analyze vendor customers’ migration data at scale. Using AI, the system will serve as a continuous, proactive, and reactive notification system. The customer value lies in being the first responder for IT professionals who can deploy a remote solution before real threats occur.