P*anel discussion “Taking Generative AI Enterprise Models to Production”*
AI User Conference 2024 – Developer Day
The Hibernia – 1 Jones Street, San Francisco, CA 94102
**Agenda**
This is three days conference at the landmark building Hibernia in San Francisco. 3 Days | 4 Tracks | 150+ Sessions, Prices at $0 – $350 – $790.
1/29/2024 Marketer Day
1/30/2024 Designer Day
1/31/2024 Developer Day
For details visit https://aiuserconference.com/agenda
Registration as ACM audience:
* Free General Admission PASS: For key note presentations and expo area here: [www.eventbrite.com/e/719369873657/?discount=GAPASS-ACM](http://www.eventbrite.com/e/719369873657/?discount=GAPASS-ACM)
* 20% discount on Upgrade to Pro Pass: For VIP experience, including networking opportunities, hands-on workshops, and certification. Use this link for the ProPASS: [www.eventbrite.com/e/719369873657/?discount=PROPASS-SFBAYACM](http://www.eventbrite.com/e/719369873657/?discount=PROPASS-SFBAYACM)
**Abstract**
**Generative AI (GenAI) is an emergent area that has many AI users excited. One key feature of GenAI applications includes using Retrieval Augmented Generation (RAG) to pull up text data from internal enterprise sources. Another key feature is to reason about the retrieval results, the question, and the context of the enterprise LLM application.**
**These features, RAG and Reasoning, have the advantage of reducing hallucinations and reducing the need for foundational model training on enterprise domain data (which may constantly be changing on a large scale). Reasoning improvements start with prompt engineering best practices, such as specifying the LLM application’s role, subject domain, type of detailed answer, format of answer, and providing multiple-shot question-answer examples. Other reasoning improvements include Re-Act, to reason, and take action, to result in an observation.**
**As a call to action: SFbayACM hosts many lectures and training events. Please see [https://sfbayacm.org](https://sfbayacm.org) for our upcoming full-day in-person workshops and monthly data science technical talks.**
# **Moderator:**
**Moderator Name: Ronald Petty**
**Job Title: Principal Consultant**
**Company: RX-M (rx-m.com)**
**LinkedIn: [https://www.linkedin.com/in/ronaldpetty/](https://www.linkedin.com/in/ronaldpetty/)**
**Bio:**
**Ronald Petty is a principal consultant at RX-M, a global cloud-native & artificial intelligence consulting and training firm. He has consulted, developed, and trained across many domains including academic research, government, high-tech, finance, and energy. Ronald is an advisor/board member for companies in high-tech research, energy, and nonprofits. In addition, he authors and edits technical material around programming languages and software development techniques including ML/AI. He participated in the creation of CKA and CKAD certification exams. He volunteers with the SF Bay Area Chapter of the Association for Computing Machinery ([https://www.meetup.com/sf-bay-acm/](https://www.meetup.com/sf-bay-acm/) ).**
# **Panelists:**
**Speaker Name: Yashesh Shroff**
**Job Title: AI Ecosystems Product Manager**
**Company: Intel (intel.com)**
**LinkedIn: [https://www.linkedin.com/in/yashroff/](https://www.linkedin.com/in/yashroff/)**
**Bio:**
**Yashesh Shroff is the AI Ecosystems product manager responsible for driving Intel Server-class GPU adoption in enterprise use cases. Previously, he has led Intel’s IoT and Mobile product management ISV enablement programs driving AI, Gaming, and Edge use cases on client compute. He is the chapter chair of the SF Bay Area Chapter of the Association for Computing Machinery ([https://www.meetup.com/sf-bay-acm/](https://www.meetup.com/sf-bay-acm/) ). He holds MS/PhD degrees in EECS from UC Berkeley and has over 20 publications and 5 patents in semiconductor applications.**
**Speaker Name: Greg Makowski**
**Job Title: Head of Data Science Services**
**Company: Cybernator**
**LinkedIn: [https://www.linkedin.com/in/gregmakowski/](https://www.linkedin.com/in/gregmakowski/)**
**Bio:**
**Greg has been developing and deploying enterprise data science models and applications for several decades. He has been building AI teams since 2010, as well as developed and deployed 10 Enterprise AI applications. Four of the startups he has worked at have exited. He has over 5 years of experience in the following verticals: retail supply chain, financial services, fraud detection and security, and Industrial Internet of Things (including manufacturing and oil and gas). Greg has been inviting Data Science speakers for SF Bay ACM since 2008, and has been a past chapter chair twice ([https://www.meetup.com/sf-bay-acm/](https://www.meetup.com/sf-bay-acm/) )**
