What weāre about
DataPhilly is a community run group for anyone interested in gaining insights from data. Topics include (but are not limited to) predictive analytics, applied machine learning, big data, data warehousing and data science. We <3 data!
Join our slack to help plan future events! http://bit.ly/DataPhillySlack
Email us at: admin[at]dataphilly.com
Found a space we can use for future meetups? https://goo.gl/Ru0eth
Found a speaker for an upcoming meetup? https://goo.gl/9DJxq0
Found a sponsor for our events? https://goo.gl/JLVfqh
Want to have access to the video recordings and details of our past events? https://dataphilly.github.io
Upcoming events (4+)
See all- DataPhilly Presents: Fast.AI Lesson 8!Link visible for attendees
Hi Data Enthusiasts,
Action Items (For those interested):
- We'll be discussing and going over a different video lecture in the Fast.AI lecture series. Start Watching Lesson 9 NOW!
- Please watch the video lecture mentioned in the title. We'll be helping people set up with Google Colab or Paperspace to run their Jupyter Notebooks if they haven't already and discussing any confusing bits.
- Join the DataPhilly Channel then find the #fastai-study-group
Logistics:
- Virtually: Here is the Meetup link:
https://meet.google.com/juj-swjy-cry - Unfortunately we can no longer do in person for this week.
- April Data Talks: AI demystifiedJon M. Huntsman Hall, Philadelphia, PA
Join us for a 2 hour in person event - April Data Talks: AI demystified
Registration is live!šŖDoors open at 5:30pm
š Pizza will arrive around 6pm
š Two 45 min presentations from experts, followed by Q&A
š” Connect with other professionals, exchange ideas, & networkSpeakers:
Tim Allen: Don't Get Pulled Under by the A.I Hype Wave
Abstract:
āThose who cannot remember the past are condemned to repeat it.ā ā George Santayana, The Life of Reason, 1905.Congratulations, technologists! We have reached a new record for the height of the peak of inflated expectations with the hype surrounding āA.I.ā If you believe the recent press, āA.I.ā is going to be capable of everything, with some even talking of immortality. It is wonderful to be excited about new technology available to us, but this is at a level I have never seen in my career. There have been numerous lessons from the past that illustrate why we should avoid these levels of hype.
Is āA.I.ā going to change everything? I donāt buy it, and in this talk, Iāll explain why.
Bio:
LinkedIn
Tim joined Wharton Research Data Services in 2008, after working for local companies and starting a few of his own. He began programming at age six during a summer camp his mother won in a raffle. Tim currently serves as an organizer of the Philadelphia Python Users Group, DjangoCon US, and as a member of the Python Software Foundation and Django Software Foundation. Tim is an avid hockey fan, was the first person to sell real world items for virtual microcurrency long before Bitcoin, is an avid open-source contributor, and enjoys beating his head against brick walls (as demonstrated by his passion for coding, cycling in Philadelphia, and never-ending quest to get his cat to behave). A life-long Philadelphia resident, he graduated from the University of Pennsylvania in 1996 with an individualized major, āComputer Aided Information Acquisitionā.Michael Becker: From Chaos to Catalog: The AI-Driven Path to Reporting Harmony
Abstract:
In the vast expanse of business intelligence (BI) landscapes, thousands of dashboards sprawl across platforms like untamed wilderness. "From Chaos to Catalog" delves into how a large healthcare system embarked on a pioneering journey, leveraging Large Language Models (LLMs) to transform this sprawling chaos into a harmonious catalog of organized, accessible insights. This talk will explore the innovative strategies employed to categorize and transition BI dashboards from Tableau to PowerBI, demonstrating the power of AI in creating a structured, efficient reporting ecosystem. Attendees will gain insights into practical LLM applications for data management, the challenges of dashboard migration, and the ongoing quest for consolidation and streamlined reporting processes.Bio:
LinkedIn
Michael Becker is a seasoned Data Scientist at Penn Medicine, where he has spent over eight years applying his deep knowledge to the healthcare sector. With an impressive track record spanning more than 23 years in the field, Michael has been at the forefront of developing and implementing innovative solutions that leverage data to improve patient care. His work includes deploying machine learning models to enhance healthcare outcomes, creating a HIPAA-compliant alternative to ChatGPT, and leading vital projects for COVID-19 capacity planning. As the founder of the DataPhilly Meetup group, Michael is also passionate about fostering a community where data professionals can share knowledge and collaborate. Michael brings real-world insights to his talks, making complex topics in data science, AI, and healthcare analytics accessible and engaging. - DataPhilly Presents: Fast.AI Lesson 8!Link visible for attendees
Hi Data Enthusiasts,
Action Items (For those interested):
- We'll be discussing and going over a different video lecture in the Fast.AI lecture series. Start Watching Lesson 9 NOW!
- Please watch the video lecture mentioned in the title. We'll be helping people set up with Google Colab or Paperspace to run their Jupyter Notebooks if they haven't already and discussing any confusing bits.
- Join the DataPhilly Channel then find the #fastai-study-group
Logistics:
- Virtually: Here is the Meetup link:
https://meet.google.com/juj-swjy-cry - Unfortunately we can no longer do in person for this week.
- DataPhilly Presents: Fast.AI Lesson 8!Link visible for attendees
Hi Data Enthusiasts,
Action Items (For those interested):
- We'll be discussing and going over a different video lecture in the Fast.AI lecture series. Start Watching Lesson 9 NOW!
- Please watch the video lecture mentioned in the title. We'll be helping people set up with Google Colab or Paperspace to run their Jupyter Notebooks if they haven't already and discussing any confusing bits.
- Join the DataPhilly Channel then find the #fastai-study-group
Logistics:
- Virtually: Here is the Meetup link:
https://meet.google.com/juj-swjy-cry - Unfortunately we can no longer do in person for this week.
