Wow! We just crossed the 10,000-member mark in the IBM Data Science Community. Thank you to all who have joined and contributed so far. It is very exciting to see this kind of momentum.
At IBM, we value community. Why is it important? We wanted to build a place dedicated to people supporting the practice of data science in their businesses; for practitioners by practitioners. Whether that is a data scientist, machine learning engineer, AI developer or anyone working on the AI lifecycle, we thought that such skills-intensive disciplines should have a space to connect to each other, engage on timely topics, and share their expertise. 10,000 of you agreed these values were important, and we’re very glad to have you!
Our community started out in 2018. We’d like to thank our data science and AI community partners – we couldn’t do it without you! Here are some highlights:
- Partnerships with major players in the data science and AI community ecosystem, including: TWIML, NumFOCUS, PyData, Data Council, Coursera, Linux Foundation AI, O’Reilly, ODSC
- Our special offer for all AI Learners: a complimentary month of select IBM Programs on Coursera
- Community-focused events like ML Ops Day at OSCON 2019, PyData Berlin, TensorFlow World, TWIMLcon
- Launched an innovative open source educational model with leading universities, openDS4All, the AI Learning Community, and the AI Enterprise Workflow Course and Study group
- Appearances on the TWIML AI Podcast
- Sponsorship of data science community meetups such as SF Python, SF Big Analytics, Women in Data Science (WiDS) and webcasts with Data Science Salon
- Three big online events already this year: Deploy AI, Learn AI, and our MasterClass and Hackathon on AI Explainability
- Product and learning groups: Watson Studio, Decision Optimization, Data & AI Learning
Of course, a steady stream of technical content, leading edge, product and original. Here are 5 of our most popular pieces:
Congratulations on this amazing feat, I knew it was just a matter of time. The amount of knowledge shared and that energy that so many people bring in here is what makes the IBM community unique. I am happy to see this coming and many more such milestones to come!
—Neeraj Jangid, Data Science Community Member
Communities are so important these days and the leadership at IBM has really thought through and executed a robust plan to build community on all levels, I am so glad to be a part of it.
—Grace Law, Organizer, SF Python
We plan to accelerate this journey and continue growing our community. Here are a few things you can look forward to over the coming months, dedicated to helping practitioners learn, share, engage to build trusted AI:
- Stay tuned: Access to hundreds of IBM Experts and Mentors to assist in your journey to AI. Regular office hours, virtual meetups, and online chats.
- Expanded relationships with our partner communities like Data Council, TWIML, and PyData
- Ongoing technical content curation on the most talked about data science and AI topics like ML Ops, AI Trust, AI Learning, NLP, and leading-edge open source tools
- Career development conversations
As always, please let us know what else you’d like to see. Simply leave a comment below or start a conversation on the forum.
Thanks again, and on to the next 10,000!#News-DS#Highlights-home