What we’re about
ODSC brings together the open source and data science communities with the goal of helping its members learn, connect and grow.
The focus of this Meetup group is to allow ODSC to work with Meetup groups, non-profits, and other organizations to present informative lectures, workshops, code sprints and networking events to help grow the use of open source languages and tools within the data science and data-centric community. As such, our specific goals are:
1. Build a collaborative group to work with other Meetup groups, non-profits, and other organizations.
2. Promote the use of open source languages and tools amongst data scientists and others.
3. Host educational workshops.
4. Spread awareness of new open source languages and tools that can be used in data science.
5. Contribute back to the open source community.
Who is this meetup for?
• Data engineers, analysts, scientists, and other practitioners
• R, Python and other software engineers who work with data or want to learn
• Data visualization developers and designers
• Non-technical team leads, executives, and other decision makers from data centric startups and large companies looking to utilize open source tools
Get Involved with our Meetups:
• Meetup/Webinar Speaker Submission Form https://forms.gle/STEDWxgWBMnLnt8F8
• Suggest a Meetup Topic Form
https://forms.gle/FAnBGMnC6puP1zLs6
• Volunteer Form
https://forms.gle/rJB2k8ZvU7mj1R3c8
• Host or Sponsor Form
https://forms.gle/bVdnzttfSuKkWrHq5
• Showcase your Startup Form
https://forms.gle/2Z31dmGPe7RTw28B9
ODSC Links:
• Get free access to more talks/trainings like this at Ai+ Training platform:
https://hubs.li/H0Zycsf0
• 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/Q018SM1r0
• ODSC Europe 2022 June 15th-16th - https://hubs.li/Q012hpDP0
• ODSC APAC 2022 September 7th-8th - https://hubs.li/Q01bgr6W0
• Code of conduct: https://odsc.com/code-of-conduct/
This is PAID event. Pre-registration is required - https://hubs.li/Q02sx0fQ0
Over the 2 days of the conference, we’ll feature 200+ hours of workshops, tutorials, talks on:
Machine Learning | Multimodal and Deep Learning | NLP and Large Language Models | Generative AI | Data Engineering and MLOps | Machine Learning for Finance
If you are a data scientist, data, software, or machine learning engineer, data analyst, or AI professional, this conference is for you.
But don’t take our word for it, see what past attendees have had to say.
“[ODSC] was an amazing chance to meet new people and stay up-to-date with the latest trends in data science.” – MSc Business Analytics UCL
“Great talks, great content, and looking forward for more!” – Full Stack Data Scientist
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/Q02r9VZM0
• Code of conduct: https://odsc.com/code-of-conduct/
Upcoming events (4)
See all- WEBINAR "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions"Link visible for attendees
To access this webinar, please register here: https://hubs.li/Q02wMWSB0
Topic: "How to Reduce LLM Costs by 98%: Practical, Scalable Solutions"
Speaker: Ivan Lee, CEO of Datasaur
Ivan graduated with a Computer Science B.S. from Stanford University, then dropped out of his master’s degree to found his first mobile gaming company Loki Studios. After raising institutional funding and building a profitable game, Loki was acquired by Yahoo. Lee spent the next 10 years building AI products at Yahoo and Apple and discovered there was a gap in serving the rapid evolution of Natural Language Processing (NLP) technologies. He built Datasaur to focus on democratizing access to NLP and LLMs. Datasaur raised $8m in venture funding from top-tier investors such as Initialized Capital, Greg Brockman (President, OpenAI) and Calvin French-Owen (CTO, Segment) and serves companies such as Google, Netflix, Qualtrics, Spotify and more.Abstract:
In this webinar, we will cover advanced techniques for leveraging the full power of Large Language Models (LLMs) while adhering to a reasonable budget. We work with many data scientists who have successfully demonstrated the potential of GenAI technology, only to find themselves encountering significant obstacles when it comes to cost and efficiency at production scale.Our session will guide attendees through innovative strategies to overcome these challenges, including:
- Utilizing Small Language Models (SLMs) for efficiency
- Employing LLM Distillation to reduce resource demands
- Implementing prompt unit testing to maintain quality integrityODSC 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/Q02w1GKB0
• Code of conduct: https://odsc.com/code-of-conduct/ - Time-Series Databases for AI: Enabling Trend Analysis, Anomaly Detection etcLink visible for attendees
To access this webinar, please register here: https://hubs.li/Q02wW17c0
Topic: "Time-Series Databases for AI: Enabling Trend Analysis, Anomaly Detection, and Accurate Predictions"
Speaker: Anais Dotis-Georgiou, Developer Advocate at InfluxData
Anais is a Developer Advocate for InfluxData with a passion for making data beautiful through Data Analytics, AI, and Machine Learning. She takes the data that she collects and uses a mix of research, exploration, and engineering to translate it into something of function, value, and beauty. When she is not behind a screen, you can find her outside drawing, stretching, boarding, or chasing after a soccer ball.Abstract:
Real-world AI applications require time-series data to transform raw data into valuable intelligence. Time-series data, recorded chronologically, enables trend analysis, anomaly detection, and accurate predictions. This session will consider why it’s essential to look at a time series database when working with ML and AI, how they differ from other databases, and factors such as scalability, data ingestion and storage capabilities, advanced analytics support, and integration capabilities.We will also share real-life use cases of companies using the InfluxDB time series database in their production-ready environments to support predictive analytics and automation.
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/Q02w1GKB0
• Code of conduct: https://odsc.com/code-of-conduct/ - Designing AI for Trust - How To Create Value While Setting The Right GuardrailsLink visible for attendees
To access this webinar, please register here: https://hubs.li/Q02y4Xjd0
Topic: "Designing AI for Trust - How To Create Value While Setting The Right Guardrails"
Speaker: Cal Al-Dhubaib, Head of AI & Data Science at Further
Cal Al-Dhubaib is a globally recognized data scientist, entrepreneur, and innovator in responsible artificial intelligence, specializing in heavily regulated sectors such as healthcare, energy, and defense. He leads AI and Data Science at Further, a privacy-first data, analytics, and AI company servicing over 100 of the Fortune 500. Cal founded and scaled Pandata, known for responsible AI design and development. Under his guidance, Pandata worked with high-profile clients including Cleveland Clinic, Progressive Insurance, and Parker Hannifin, leading to its acquisition by Further in March of 2024.
Cal frequently speaks on topics including AI ethics, change management, data literacy, and the unique challenges of implementing AI solutions in regulated industries. His insights have been featured in noteworthy publications such as Forbes, Nasdaq, VentureBeat, CDO Magazine, and Open Data Science. Cal has been recognized by Crain’s Cleveland as a Notable Immigrant Leader, Entrepreneur, and Technology Executive.
Abstract:
As AI becomes integral to business strategy, many organizations are navigating the complex interplay between technical innovation, creating business value, and managing risk. In many cases challenges arise with human adoption, alignment with business values, risk management processes, and unexpectedly costly data curation efforts.With a focus on business and technical leaders responsible for bringing AI solutions to life, we will draw from best practices in designing and deploying AI solutions across mission-critical sectors such as healthcare, energy, and financial services, where trust is critical.
Participants will walk away with some practical tools to lead their organizations in developing and deploying AI solutions that are not only technically sound but also widely trusted.
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/Q02w1GKB0
• Code of conduct: https://odsc.com/code-of-conduct/ - Hybrid ODSC Europe 2024 | The AI Training ConferenceNovotel London West, London
This is PAID event. Pre-registration is required - https://hubs.li/Q02sx0fQ0
Over the 2 days of the conference, we’ll feature 200+ hours of workshops, tutorials, talks on:
Machine Learning | Multimodal and Deep Learning | NLP and Large Language Models | Generative AI | Data Engineering and MLOps | Machine Learning for Finance
If you are a data scientist, data, software, or machine learning engineer, data analyst, or AI professional, this conference is for you.
But don’t take our word for it, see what past attendees have had to say.
“[ODSC] was an amazing chance to meet new people and stay up-to-date with the latest trends in data science.” – MSc Business Analytics UCL
“Great talks, great content, and looking forward for more!” – Full Stack Data Scientist
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/Q02r9VZM0
• Code of conduct: https://odsc.com/code-of-conduct/