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Are you ready to dive into the world of everything from foundational data science to the newest frontiers of AI? This is your hub for connecting with passionate pros, leveling up your skills, and staying ahead of the curve. We’re on a mission to build a stronger, more collaborative data community.
We partner with amazing organizations to bring you dynamic, hands-on events. Think hackathons, deep-dive workshops, and expert-led lectures that go beyond the basics. Our events are all about getting your hands dirty and contributing to the open source community.
This community is for anyone who wants to learn, build, and share, including:

  • Data practitioners of all kinds
  • Developers who code with data (R, Python, etc.)
  • Designers and creators focused on data visualization
  • Decision-makers looking for new ways to innovate with open source tools

Ready to get in on the action?

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• Get free access to more talks/trainings like this at Ai+ Training platform: https://aiplus.training/
• ODSC blog: https://opendatascience.com/
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• LinkedIn: https://www.linkedin.com/company/open-data-science
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• Code of conduct: https://odsc.ai/west/conference-guide/

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Descuentos e invitaciones para cursos de formación.

Hiwook

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Recursos, talento y nuevas oportunidades laborales para tod@s!

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Gestiona y organiza los talleres para hacer posible OSWKids

WEBINAR "Trust What You Can Trace: Making Agentic AI Explainable"

WEBINAR "Trust What You Can Trace: Making Agentic AI Explainable"

·
Online
Online

Pre-registration is REQUIRED. RSVP here - https://hubs.li/Q046VS--0

Speaker: Michael Novack, Solutions Architect at AIceberg

Topic title: "Trust What You Can Trace: Making Agentic AI Explainable, Secure, and Enterprise-Ready"

As enterprises adopt increasingly powerful AI systems, one critical challenge remains: understanding how and why these systems make decisions. Many modern models - especially large language models - operate as opaque “black boxes,” making transparency, compliance, and trust difficult to achieve.

This webinar introduces the AI Explainability Scorecard, a practical framework for evaluating the transparency of AI systems based on criteria such as faithfulness, consistency, accessibility, and comprehensibility. Attendees will learn how different model architectures - from K-Nearest Neighbors to neural networks and transformers - vary dramatically in explainability and risk.

The session will also explore real-world techniques for improving visibility into complex models, including surrogate monitoring approaches that map AI behavior to comparable examples. These methods help organizations build observable, auditable AI systems without sacrificing performance or scalability.

By the end of this session, attendees will understand how to move beyond black-box AI toward transparent, accountable, and secure AI deployment - a critical step for enterprises scaling agentic AI in high-stakes environments.

You will learn:
- Why Explainability Is the Foundation of Trustworthy AI
Learn why transparency isn’t just a technical preference - it’s becoming a legal, ethical, and operational requirement for enterprise AI systems.

- The AI Explainability Scorecard Framework
Understand the five key criteria - faithfulness, comprehensibility, consistency, accessibility, and optimization clarity - for evaluating how explainable an AI model truly is.

- How Different AI Models Compare in Transparency
Discover why some models are inherently interpretable while others require advanced methods to understand their behavior.

  • Practical Methods for Making Black-Box AI Observable
    Explore modern techniques - including surrogate monitoring models - that help organizations understand and audit large language models at scale.

🔗 Stay Connected

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2 attendees

Upcoming events

5

See all
  • WEBINAR "Trust What You Can Trace: Making Agentic AI Explainable"

    WEBINAR "Trust What You Can Trace: Making Agentic AI Explainable"

    ·
    Online
    Online

    Pre-registration is REQUIRED. RSVP here - https://hubs.li/Q046VS--0

    Speaker: Michael Novack, Solutions Architect at AIceberg

    Topic title: "Trust What You Can Trace: Making Agentic AI Explainable, Secure, and Enterprise-Ready"

    As enterprises adopt increasingly powerful AI systems, one critical challenge remains: understanding how and why these systems make decisions. Many modern models - especially large language models - operate as opaque “black boxes,” making transparency, compliance, and trust difficult to achieve.

    This webinar introduces the AI Explainability Scorecard, a practical framework for evaluating the transparency of AI systems based on criteria such as faithfulness, consistency, accessibility, and comprehensibility. Attendees will learn how different model architectures - from K-Nearest Neighbors to neural networks and transformers - vary dramatically in explainability and risk.

    The session will also explore real-world techniques for improving visibility into complex models, including surrogate monitoring approaches that map AI behavior to comparable examples. These methods help organizations build observable, auditable AI systems without sacrificing performance or scalability.

    By the end of this session, attendees will understand how to move beyond black-box AI toward transparent, accountable, and secure AI deployment - a critical step for enterprises scaling agentic AI in high-stakes environments.

    You will learn:
    - Why Explainability Is the Foundation of Trustworthy AI
    Learn why transparency isn’t just a technical preference - it’s becoming a legal, ethical, and operational requirement for enterprise AI systems.

    - The AI Explainability Scorecard Framework
    Understand the five key criteria - faithfulness, comprehensibility, consistency, accessibility, and optimization clarity - for evaluating how explainable an AI model truly is.

    - How Different AI Models Compare in Transparency
    Discover why some models are inherently interpretable while others require advanced methods to understand their behavior.

    • Practical Methods for Making Black-Box AI Observable
      Explore modern techniques - including surrogate monitoring models - that help organizations understand and audit large language models at scale.

    🔗 Stay Connected

    • Photo of the user
    • Photo of the user
    2 attendees
  • A Live Discussion "What Skills are More Relevant in the AI World?"

    A Live Discussion "What Skills are More Relevant in the AI World?"

    ·
    Online
    Online

    Join the session here - https://www.linkedin.com/events/alivediscussion-whatskillsaremo7444357453787332609/theater/

    A Live Discussion with Sheamus McGovern and Cal Al-Dhubaib

    Join us for an unfiltered, 30-minute power session with two industry leaders: Sheamus McGovern (Founder of ODSC AI) and Cal Al-Dhubaib (AI Strategist).

    They will move beyond the hype to discuss which competencies - from LLM orchestration to critical thinking - will actually define the successful professional in 2026.

    The 30-Minute Breakdown
    - Expert Insights: A pulse check on the current hiring landscape and technical trends.
    - Exclusive ODSC AI East Q&A: Get your questions answered by the minds behind the world’s leading AI conference.
    - Promo Codes: Access the deepest discounts available for upcoming ODSC AI events.

    Streaming live on YouTube, LinkedIn, and Facebook

    Future-proof your career in just half an hour.
    -------------------------------------------------------------------------
    🚨 The ODSC AI East 2026 Schedule is LIVE 🚨
    Explore 300+ hours of sessions designed for practitioners – covering the tools, workflows, and real-world tradeoffs behind modern AI systems:

    🔹 AI Agents & Agentic Workflows
    🔹 Generative AI & LLM Applications
    🔹 RAG, Vector DBs & Context Engineering
    🔹 AI Engineering & Production Systems
    🔹 LLMOps & MLOps
    🔹 Data Engineering & Scalable Pipelines
    🔹 ML & Deep Learning Foundations
    🔹 AI in Biotech, Finance & Enterprise

    More details are here - https://odsc.ai/east/

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    1 attendee
  • ODSC AI East 2026 | The #1 AI Builders Conference

    ODSC AI East 2026 | The #1 AI Builders Conference

    ·
    Online
    Online

    THIS IS PAID EVENT. PRE-REGISTRATION IS REQUIRED. RSVP here - https://luma.com/fzypluc8

    Use code - COMMUNITYEAST2026 - for an extra discount.
    There are virtual or on-site (Boston) options to join.
    Schedule Preview available here - https://schedule.odsc.ai/

    ## Where the global AI community unites to build the future.

    Get ready to deepen your expertise, forge powerful connections, and stay at the absolute forefront of artificial intelligence. ODSC AI East is returning to Boston, MA at the Hynes Convention Center, April 28–30, for three days dedicated to practical, hands-on learning and community growth. And/OR you may join Virtual Conference. More details here - https://odsc.ai/east/

    ## First Speakers Announcement

    • Adam Tauman Kalai, Safety and Ethics Researcher, OpenAI
    • Jonathan Frankle, Chief AI Scientist, Databricks
    • Amy Hodler, Executive Director, GraphGeeks.org
    • David Campbell, Head of AI Security, Scale AI
    • Ben Armstrong, PhD, Executive Director | Co-Lead, Work of the Future, MIT
    • Ari Morcos, PhD, CEO and Co-founder, Datology AI
    • Sydney Runkle, Software Engineer, LangChain
    • Noah Giansiracusa, PhD, Assoc. Prof. of Math and DS, Bentley University
    • Karen Zhou, Member of Technical Staff, Anthropic
    • Joseph Fuller, Prof. | Co-head, Future of Work Project, Harvard Business School
    • Denise Gosnell, Co-Founder & CEO, Data Driven Intuition
    • Rajiv Shah, PhD, Chief Evangelist, Contextual AI
    • Claire (Yunzhu) Zhao, Director, Group Lead | AI/ML, AQDS, Pfizer
    • David Hoyle, PhD Research Data Science Specialist, dunnhumby
    • Dr. Denis Garagić, Chief Technology Officer & Co-founder, Palladyne AI
    • Jeremiah Lowin, Founder & CEO, Prefect
    • Veronika Durgin, VP of Data
    • Xiong Liu Director, Data Science and AI, Novartis
    • Mohammad Soltanieh-ha, PhD, Clinical Assistant Professor, Boston University

    This is more than just a conference; it’s the essential event for data science practitioners, AI builders, technical leaders, and anyone looking to pivot into an AI-driven career. With 300+ hours of content from 250+ expert speakers, you'll gain job-ready skills and strategic insights you can implement immediately.

    ## Why You Need to Be Here: Learning and Value

    Technical Tracks:
    Data Engineering | Physical AI | AI for BioPharma & Health | LLMs, GenAI & RAG | Agentic AI & Workflow Automation | Keynotes & Industry Leadership | Data Science & Machine Learning & MLOps | AI Engineering & AIOps

    Non-Technical Tracks:
    AI Strategy | AI Risk & Governance | Agentic AI for Enterprise | AI Products & Innovation | AI & Future of work | Executive Track | AI Founder Track

    At ODSC AI East, we prioritize tangible value and immersive learning, ensuring you walk away certified and skilled. Our expansive agenda is packed with cutting-edge workshops and deep-dive tutorials across the most in-demand domains:

    • Hands-On Training: Master crucial skills in LLMs, Generative AI & RAG, AI Engineering & MLOps, Data Science, and Machine Learning with expert-led, hands-on sessions.
    • Focused Tracks: Explore specialized content in Agentic AI & Workflow Automation, Data Engineering, and AI for Robotics.
    • Learn from Engineers Who Ship: Our speakers are the industry's top practitioners and researchers, renowned for bringing real-world innovations and strategies to the stage.

    ## Beyond the Talks: Our Expanded Community Events

    The true value of ODSC AI East is the opportunity to connect and collaborate. Your pass unlocks a rich ecosystem of co-located events and unique networking opportunities designed for every career level:

    • AI X Leadership Summit (Co-located): A curated forum for executives, business leaders, and technical managers to gain practical insights on shaping, governing, and scaling their organization’s AI strategy.
    • AI Mini-Bootcamp: Kickstart your journey or reinforce fundamentals with our intensive, pre-conference AI training and certification tracks.
    • AI Expo & Demo Hall: Explore the latest advancements, witness live product demos, and meet technical experts from leading AI companies and innovative startups. This is the place to gain insight into build vs. buy decisions for enterprise AI solutions.
    • Networking+ Activities & Events: Challenge yourself to grow your network at our dedicated events, including the Main Network Reception, targeted Lunch Meetups, and exclusive VIP Networking sessions, forging invaluable connections across the global community.

    Join us in celebrating our community's pursuit of knowledge, inclusivity, and fairness as we work together to move the world of data science forward.
    Ready to build better AI? Find your perfect pass and secure your spot at ODSC AI East 2026 today!

    ## Useful Links

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  • Zerve × ODSC AI: Datathon | Boston/Virtual

    Zerve × ODSC AI: Datathon | Boston/Virtual

    ·
    Online
    Online

    This is a Free event, but Pre-Registration is REQUIRED.
    RSVP here -
    https://luma.com/b40p37eo

    ## The Ultimate Test for Data Practitioners

    Transform raw behavioral data from a live AI-native workspace into structured product insights. $10,000 Prize Pool.

    Modern applications generate millions of events, but raw logs don’t make decisions - people do. The real challenge is bridging the gap between activity logs and actionable product insight.
    In this 24-hour datathon, you won't be playing with "toy" datasets. You will get under the hood of a live AI-native workspace, working with large-scale event data including user interactions, technical metadata, and session activity.

    Why Join?

    • Real Product Data: Authentic signals from a live environment.
    • Feature Engineering: Design your own signals from raw behavioral data.
    • Insight-Driven Judging: We value methodology and rigor over "black box" luck.
    • $10,000 in Prizes: Including cash, Zerve credits, and ODSC speaking slots.
    • Access AI Expo and ODSC AI East Conference Demo talks - https://odsc.ai/east/

    Schedule is on the event page - https://luma.com/b40p37eo

    Prerequisite Checklist
    This challenge is for intermediate-to-advanced data practitioners. Here's what you should be comfortable with:

    • Python or R for data manipulation
    • Pandas / SQL for data wrangling
    • Feature engineering concepts
    • Basic statistical reasoning
    • Jupyter / notebook environments

    One-Click Starter Repo
    Clone our GitHub template with sample data loaders, notebook scaffolding, and submission helpers — start analyzing in minutes, not hours - https://github.com/

    Who Should Attend?
    This challenge is designed for intermediate-to-advanced data professionals comfortable with:

    • Python or R for data manipulation.
    • Pandas / SQL for heavy lifting and wrangling.
    • Jupyter / Notebook environments.
    • Feature Engineering and statistical reasoning.

    FAQ:

    > What makes a Datathon different from a Hackathon? While a hackathon focuses on building software, a Datathon focuses on the "Why." You are evaluated on your ability to extract insights, perform rigorous feature engineering, and communicate a clear analytical framework.

    > Can I participate virtually? Yes! This is a hybrid event. Remote participants have full access to the Zerve cloud platform, digital mentorship, and the submission portal.

    > What tools will I use? Zerve provides a collaborative cloud notebook environment supporting Python, R, and SQL. You'll receive a One-Click Starter Repo with data loaders and scaffolding to ensure you spend your time analyzing, not configuring.

    > How are teams structured? You can work solo or in teams of up to 4 members.

    Ready to turn raw data into a $10,000 win?

    ## Useful Links

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