Open Data Science (Hosted by ODSC)

Pre-registration is REQUIRED.
Add to your calendar - https://hubs.li/Q02Q_-sW0

Ready to dive into the world of AI innovation?

Your hackathon journey begins with NVIDIA’s exclusive webinar on October 17th, where Kaggle Grandmaster Jiwei Liu and NVIDIA experts will answer all your questions about the upcoming virtual and in-person hackathons - https://hubs.ly/Q02QMQ--0

This is your chance to:
- Learn the essentials: Get insider tips on how to navigate the hackathon challenges and optimize your approach.
- Clarify expectations: Ask anything about the datasets, tools, and submission guidelines.
- Discover the $30,000 prize pool: Get a detailed breakdown of the prizes, which include cutting-edge GPUs, GTC passes, training, and more.

More about speaker - https://www.kaggle.com/jiweiliu

Everyone is welcome! Whether or not you are planning to participate in the hackathon.

ODSC Links:
• Get free access to more talks/trainings like this at Ai+ Training platform:
https://hubs.li/H0Zycsf0
• ODSC blog: https://opendatascience.com/
• Facebook: https://www.facebook.com/OPENDATASCI
• Twitter: https://twitter.com/_ODSC & @odsc
• LinkedIn: https://www.linkedin.com/company/open-data-science
• Slack Channel: https://hubs.li/Q02zdcSk0
• Code of conduct: https://odsc.com/code-of-conduct/

Pre-Registration is REQUIRED. Register here - https://lu.ma/83v03fl8

AI is transforming business in unexpected and new ways every day. Join us at the Virtual and In-person AI Expo & Demo @ODSC West 2024 on October 29-30th to learn about the latest industry trends and stay up to date innovations - https://hubs.ly/Q02FmqkJ0

This is a unique opportunity to access and interact with industry leaders from wherever you are in the world!
With In-person Open Pass, you’ll get direct access to:

• Main ODSC Conference Keynotes
• Live Solution Showcase Talks
• 30+ Featured Partners
• In-person Networking space with 3,800 like-minded peers to develop and nurture professional relationships

Whether you are a CTO, CEO, data engineer, business analyst, software architect, data analytics, or product manager - The Virtual & In-person AI Expo & Demo Hall @ODSC West 2024 is a place to be.

Book your pass today and be where the future of AI gathers!

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If you decide to go with paid passes and attend 3 day conference - talks, workshops, tutorials, bootcamp sessions and more. Please visit - https://hubs.li/Q02rCNSs0
And get your pass to the future of AI today for less with our exclusive community discount with code: West2024-Community

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ODSC Links:
• Get free access to more talks/trainings like this at Ai+ Training platform:
https://hubs.li/H0Zycsf0
• ODSC blog: https://opendatascience.com/
• Facebook: https://www.facebook.com/OPENDATASCI
• Twitter: https://twitter.com/_ODSC & @odsc
• LinkedIn: https://www.linkedin.com/company/open-data-science
• Slack Channel: https://hubs.li/Q02zdcSk0
• Code of conduct: https://odsc.com/code-of-conduct/

This is PAID event. Pre-registration is required - https://hubs.li/Q02rCNSs0
And get your pass to the future of AI today for less with our exclusive community discount with code: West2024-Community

ODSC West Bootcamp with discount
ODSC West in-person tickets with discount
ODSC West virtual tickets with discount
ODSC West Gen AI summit with discount
ODSC West DE summit with discount

Conference will feature expert-led, hands-on instruction in in-demand topics and tools, including:

Generative AI | NLP | Responsible AI | TensorFlow | MLOps and LLMOps| Generative AI | Data Visualization | Data Engineering | Machine Learning | Prompt Engineering | Large Language Models | and much more

Confirmed speakers included acclaimed instructors and experts in their fields, such as:

• Sergey Levine, PhD - Associate Professor, Computer Science | Co-founder at UC Berkeley | Physical Intelligence
• Douwe Kiela - CEO / Adjunct Professor at Contextual AI | Stanford University
• Amit Sangani - Senior Director, Platform Engineering at Meta
• Michelle Yi - Founder | Consultant | Graph Evangelist | Board Member at GraphGeeks.org | Women In Data
• Laurie Voss - VP, Developer Relations at LlamaIndex
• Paige Bailey, Engineering Lead for GenAI Developer Experience at Google
• Amy Hodler, Founder, Evangelist for Graph Analytics&Responsible AI | Author at Graphgeeks.org
• Leon Song, VP of Research at Together AI
• Steven Zheng PhD, Senior Staff Software Engineer and Tech Lead at Google DeepMind working on frontier LLMs
• Mabel Geronimo, Senior Solutions Engineer at GitHub

More speakers, topics and agenda you may find here - https://odsc.com/california/

You’ll also have the opportunity to connect with speakers and peers in a relaxed setting during our networking events like the ODSC Networking Reception, Dinner with Data Scientists, Meet the Speaker session, and more.

Have questions? We can help! Contact us at info@odsc.com

ODSC Links:
• Get free access to more talks/trainings like this at Ai+ Training platform:
https://hubs.li/H0Zycsf0
• ODSC blog: https://opendatascience.com/
• Facebook: https://www.facebook.com/OPENDATASCI
• Twitter: https://twitter.com/_ODSC & @odsc
• LinkedIn: https://www.linkedin.com/company/open-data-science
• Slack Channel: https://hubs.li/Q02zdcSk0
• Code of conduct: https://odsc.com/code-of-conduct/

Pre-registration is REQUIRED.
Add to your calendar - https://hubs.li/Q02T2KyM0

Topic: "Structuring Healthcare Data for usage with LLMs"

Getting your data RAG-ready for usage within LLM’s is no easy task. When your data consists of various patient chart document types (e.g. PDFs, HTML, PPT not to mention handwritten notes) you will have your work cut out for you. Join us in a workshop where we will structure healthcare patient data for usage with LLM’s. With the help of ‘unstuctured.io’ packages we will transform, clean, chunk, generate summaries and embeddings, then write our ‘structured’ healthcare data to a vector database (weaviate) where it can be used to interact with LLMs or Chatbots.

Training outline:

• Why is Structuring Healthcare Data so important when creating a Healthcare LLM?
• Discuss RAG Architecture for a future Healthcare LLM and/or Chatbot.
• What does Unstructured.io do?
• Why do we use a Vector Database?
• Steps to structuring our data for usage!
• Storing our structured data in Weaviate.
• Querying our newly structured healthcare data.

Speaker#1: Audrey Reznik Guidera, AI Platform Specialist Solution Architect | Red Hat
Audrey is an AI Platform Specialist Solution Architect working for Red Hat. She focuses on helping customers with managed services, AI/ML workloads and next-generation platforms. She holds a degree in Computer Information Systems and has been working in the IT Industry for over 20 years from full stack development to data science roles. Audrey is passionate about AI and in particular the current opportunities with AIML at the Edge and Open Source technologies.

Speaker#2: Bob Kozdemba, Principal Specialist Solution Architect | Red Hat
Bob is a career pre-sales engineer with hands-on experience using best of breed open source technologies to solve AI/ML workflow challenges including MLOps, RAG and generative AI.

ODSC Links:
• Get free access to more talks/trainings like this at Ai+ Training platform:
https://hubs.li/H0Zycsf0
• ODSC blog: https://opendatascience.com/
• Facebook: https://www.facebook.com/OPENDATASCI
• Twitter: https://twitter.com/_ODSC & @odsc
• LinkedIn: https://www.linkedin.com/company/open-data-science
• Slack Channel: https://hubs.li/Q02zdcSk0
• Code of conduct: https://odsc.com/code-of-conduct/

Pre-registration is REQUIRED.
Add to your calendar - https://hubs.li/Q02R2NfK0

Topic: "Developing Equitable AI Diagnostics: A Technical Approach to Bias Mitigation"

In this talk, we will explore the critical need for fairness in AI-driven healthcare, with a focus on mitigating bias in machine learning models. As AI systems become more integrated into healthcare diagnostics, addressing the disparities in model performance across diverse ethnic groups is paramount. This session will present a technical deep dive into the challenges of bias in medical imaging datasets and the resulting impact on healthcare outcomes for underrepresented populations.

We will begin by defining the types of bias commonly found in machine learning models, with a case study in skin cancer detection. We will demonstrate how training on imbalanced datasets exacerbates disparities in diagnosing skin cancer across different racial groups. Attendees will gain insight into practical techniques for rectifying these biases, including data augmentation, fairness-aware algorithms, and advanced evaluation metrics designed to assess model equity.

In addition to discussing technical solutions, we will also address the limitations and ethical considerations surrounding bias mitigation in healthcare AI, highlighting the importance of interdisciplinary collaboration in creating equitable diagnostic tools. By the end of the session, participants will be equipped with the knowledge to implement fairness techniques in their own AI models, promoting better outcomes for all patient populations.

Speaker's bio: Laura Montoya, Founder and Managing Partner of Accel Impact Organizations

Laura is a tech leader focused on social impact and ethical AI. She founded Accel Impact Organizations, including Accel AI Institute and LXAI. With a background in biology, physics, and human development, Laura has worked at top tech companies like Intuit and has been a leader in tech diversity initiatives. She's a frequent speaker at industry conferences and has been featured in major publications.

ODSC Links:
• Get free access to more talks/trainings like this at Ai+ Training platform:
https://hubs.li/H0Zycsf0
• ODSC blog: https://opendatascience.com/
• Facebook: https://www.facebook.com/OPENDATASCI
• Twitter: https://twitter.com/_ODSC & @odsc
• LinkedIn: https://www.linkedin.com/company/open-data-science
• Slack Channel: https://hubs.li/Q02zdcSk0
• Code of conduct: https://odsc.com/code-of-conduct/