Suggestions
Kelly Goetsch
Chief Strategy Officer at commercetools / MACH Alliance Co-founder / 4x O'Reilly Author
Kelly Goetsch is a prominent figure in the technology and commerce sectors, currently serving as a Board Member at Bluestone PIM since July 2023. In this role, he has contributed to the company's strategic direction and helped secure its first external fundraising efforts.14 He is also recognized as the Chief Strategy Officer at commercetools, where he previously held the position of Chief Product Officer for nearly six years.23
Professional Background
- MACH Alliance: Goetsch is a founding member and served as the Chairman of the MACH Alliance, an organization dedicated to promoting modern technology ecosystems based on microservices, APIs, cloud-native architectures, and headless solutions. His leadership was pivotal in transitioning the organization from founder-led to member-led.25
- Experience: With over 15 years in the industry, Goetsch has held various roles that emphasize product management and strategic development. Before joining commercetools, he worked at Oracle, leading product management for microservices initiatives.23
Contributions and Achievements
- Thought Leadership: Goetsch is known for his contributions to industry thought leadership, having authored several books on commerce and technology. He frequently speaks at conferences and engages in discussions about the future of digital commerce.23
- Strategic Impact: Under his guidance, commercetools has seen significant growth, achieving unicorn status and expanding its product portfolio. His strategic vision has been integral to the company's success in navigating the evolving landscape of digital commerce.23
Education
Goetsch holds a degree from the University of Illinois at Chicago, which complements his extensive professional experience in technology and commerce.3
In summary, Kelly Goetsch is a key player in shaping modern commerce technology through his roles at Bluestone PIM and commercetools, along with his influential position within the MACH Alliance.
Highlights
A big part of what's holding back enterprise adoption of AI is accuracy (or lack thereof). RAG (Retrieval Augmented Generation) is a technique to call authoritative data sources when retrieving data. An example of an authoritative data source is the inventory API of your commerce platform. In the commerce domain, RAG allows you to serve 100% up-to-date and authoritative data, like store-level availability, to end-customers.
"The platform Contextual AI offers is called RAG 2.0. In many ways, it’s an advanced, productized version of the RAG architecture Kiela and Singh first described in their 2020 paper." I hope they're able to solve this problem. I'll be watching and cheering them along, because it's a big unsolved problem.
Well, that didn't age well. The cost to process 2m tokens dropped from $180 to $0.75 in < 2 years. 240x cheaper
