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UID:pretalx-pyconde-pydata-2026-3XDMXS@pretalx.com
DTSTART;TZID=CET:20260415T101500
DTEND;TZID=CET:20260415T104500
DESCRIPTION:Time series foundation models (TSFMs) such as Chronos\, Lag-Lla
 ma\, TimesFM\, and Siemens’ own GTT have shown strong generalization cap
 abilities across diverse forecasting tasks. However\, integrating these mo
 dels into a large organization is primarily a software engineering and MLO
 ps challenge rather than a modeling one.\n\nIn this talk\, we present a re
 al-world case study based on Siemens KPI Forecast\, a Python-based forecas
 ting platform that operationalizes multiple TSFMs as reusable\, production
 -grade services. The platform integrates both open research models and Sie
 mens-developed models behind a unified API\, supporting zero-shot inferenc
 e\, fine-tuning jobs\, and fine-tuned inference depending on user needs an
 d operational constraints.\n\nWe focus on how Python is used to compose he
 terogeneous components including open and closed-source models\, internal 
 data products\, APIs\, and orchestration layers into a consistent time ser
 ies specialist user experience. The session also covers challenges operati
 ng such services within a B2B environment\, including issues related to mo
 nitoring\, versioning\, and governance.\n\nAttendees will gain practical i
 nsights into turning TSFMs into reliable Python services that scale across
  teams and use cases.
DTSTAMP:20260412T141732Z
LOCATION:Europium [3rd Floor]
SUMMARY:From Research Models to SLAs: Operationalizing TSFMs with Python - 
 Jeyashree Krishnan\, Catarina Filipe
URL:https://pretalx.com/pyconde-pydata-2026/talk/3XDMXS/
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UID:pretalx-pyconde-pydata-2026-GATMPP@pretalx.com
DTSTART;TZID=CET:20260416T105500
DTEND;TZID=CET:20260416T112500
DESCRIPTION:In an era where new AI models\, benchmarks\, and frameworks eme
 rge daily\, many of us feel caught in a relentless cycle of catching up\, 
 what is called "AI fatigue". This talk dives into the causes and consequen
 ces of that fatigue\, from information overload and social media hype to t
 he constant pressure to stay relevant. Drawing on personal experience and 
 community insights\, we explore why chasing every new paper or trend often
  leads to burnout rather than mastery.\n\nMore importantly\, we share prac
 tical\, evidence-backed strategies to stay informed without losing balance
 : curating a focused “information diet\,” setting clear boundaries\, u
 sing summarization tools intelligently\, maintaining a personal knowledge 
 base\, and embracing “JOMO”—the joy of missing out. We also discuss 
 how organizations can combat fatigue structurally by promoting focus\, cur
 iosity\, and psychological safety.\n\nThis session is for anyone\, from be
 ginners to seasoned professionals\, seeking to rediscover genuine curiosit
 y in AI while preserving mental well-being. Attendees will leave with conc
 rete tools\, actionable habits\, and a renewed sense that it is not only a
 cceptable but healthy to not know everything.
DTSTAMP:20260412T141732Z
LOCATION:Titanium [2nd Floor]
SUMMARY:Surviving AI Fatigue: Staying Sane and Relevant in a Fast Moving Fi
 eld - Ajay\, Jeyashree Krishnan
URL:https://pretalx.com/pyconde-pydata-2026/talk/GATMPP/
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