BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.devconf.info//devconf-us-2025//talk//3XLA3W
BEGIN:VTIMEZONE
TZID:EST
BEGIN:STANDARD
DTSTART:20001029T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10;UNTIL=20061029T070000Z
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
END:STANDARD
BEGIN:STANDARD
DTSTART:20071104T030000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20000402T030000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=4;UNTIL=20060402T080000Z
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
END:DAYLIGHT
BEGIN:DAYLIGHT
DTSTART:20070311T030000
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-devconf-us-2025-3XLA3W@pretalx.devconf.info
DTSTART;TZID=EST:20250919T100000
DTEND;TZID=EST:20250919T112000
DESCRIPTION:Efficient data ingestion is foundational to modern AI-driven ap
 plications\, yet developers face significant challenges: unstructured data
 \, sensitive information management\, and rising costs from excessive mode
 l fine-tuning. Fortunately\, cloud-native runtimes like Python simplify th
 is process by seamlessly bridging data ingestion and AI workflows\, primar
 ily through Retrieval-Augmented Generation (RAG). In this hands-on technic
 al workshop tailored for developers and AI engineers\, we'll explore how P
 ython empowers teams to ingest\, structure\, and query data\, making insti
 tutional knowledge instantly available to large language model (LLM) consu
 mers.\n\nParticipants will: \n* Structure Unstructured Data: Learn to extr
 act actionable insights from PDFs\, proprietary formats\, and unstructured
  documents using the open-source Docling project\, preparing your data for
  seamless AI integration. \n* Deploy and Utilize RAG Effectively: Understa
 nd how RAG enables real-time retrieval and enhances generative responses w
 ithout extensive fine-tuning. We'll also cover targeted fine-tuning with I
 nstructLab for specialized\, domain-specific knowledge. \n* Hands-On AI De
 velopment (Inner and Outer Loops): Practice building AI workflows locally 
 using Podman AI Lab\, ensuring sensitive data remains secure\, and scale s
 eamlessly into a Kubernetes-native environment\, maintaining privacy and c
 ost efficiency. \n\nWe'll culminate the workshop by constructing a practic
 al\, privacy-conscious application: a searchable\, AI-powered ticketing so
 lution inspired by systems like ServiceNow. Join us and discover how easil
 y Python and RAG can transform your raw data into secure\, powerful\, and 
 instantly accessible business insights.
DTSTAMP:20260315T074326Z
LOCATION:107 (Capacity 20)
SUMMARY:Building Intelligent Apps with Python and RAG: From Raw Data to Rea
 l-Time Insights - Cedric Clyburn\, Christopher Nuland
URL:https://pretalx.devconf.info/devconf-us-2025/talk/3XLA3W/
END:VEVENT
END:VCALENDAR