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Part of IBM Community - 118 groups

Data, Cloud and AI in Boston

Boston, MA, US

5,578 members · Public group

Organized by IBM Community and 2 others

What we’re about

To see all meetups in this group: https://www.meetup.com/pro/ibm-community/

This is an IBM sponsored Meetup group geared towards developers, data scientists, data engineers, and ALL Big Data, Cloud and AI enthusiasts. Our meetups provide an opportunity to work hands on with the solutions and tools in our Big Data portfolio and to interact and share knowledge with experts at IBM and in our extended community.

Our Meetups typically include a 45-60 minute presentation that serves as an introduction and overview for a specific Data or Cognitive topic, as well as other topics that the community is interested in. It is followed by a possible demonstration or networking with fellow developers to collaborate on applying your data skills. Depending upon the location, we can provide a cloud environment with the technologies needed, that you can use from your laptop at NO cost to you. Our meetups are FREE.

Meetup topics include (but are not limited to):

- Cognitive Solutions
- Artificial Intelligence
- Data Science
- Machine Learning
- Cloud Technologies
- Internet of Things (IoT)
- Data Visualization
- Java development
- Open Source Technologies: Apache Spark, Apache Hadoop, Python, R and others
- Data-centric Application Development
- Open Source Hadoop, SQL on Hadoop, R on Hadoop, Integration, Governance, ...
- Real Time Analytics & Stream Computing
- Text Analytics
- Relational and NOSQL Databases
- Predictive/Prescriptive Analytics
- Deep dives into the technologies that makes big data processing possible

Join us today to learn more about what is possible with software development and topics important to your community.

Upcoming events (2)

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Network event
182 attendees from 111 groups hosting
Thu, May 8, 2025, 4:00 PM UTC[AI Alliance] GneissWeb: Preparing High Quality Data for LLMs at Scale
Link visible for attendees
Details
IBM recently released GneissWeb, a large dataset yielding around 10 trillion tokens that caters to the data quality and quantity requirements of training Large Language Models. In this talk i will do a deep dive on the philosophy behind this dataset, where it stands w.r.t the other datasets out there, how to recreate it based on the tools IBM has open sourced and some performance figures with it. This talk will be a followup of the talk given by Shahrokh Daijavad of IBM in the month of March.

Prerequisites
This is a follow up to our March 6, 2025 session “Introducing GneissWeb - a state-of-the-art LLM pre-training dataset“:

Check the GitHub show notes

Re-watch on YouTube

About the presenter
Bishwaranjan Bhattacharjee (LinkedIn), Senior Technical Staff Member and Master Inventor, IBM Research

About the AI Alliance
The AI Alliance is an international community of researchers, developers and organizational leaders committed to support and enhance open innovation across the AI technology landscape to accelerate progress, improve safety, security and trust in AI, and maximize benefits to people and society everywhere. Members of the AI Alliance believe that open innovation is essential to develop and achieve safe and responsible AI that benefit society rather than benefit a select few big players.
5 attendees from this group
Network event
98 attendees from 111 groups hosting
Thu, May 22, 2025, 4:00 PM UTC[AI Alliance] Knowledge Graphs for Enterprise AI
Link visible for attendees
Description
Proscenium is an emerging library of composable glue focused on enterprise AI applications. It prioritizes support for domains where the creation and use of structured data is critical. This talk will walk through the construction an application for the legal domain built with Proscenium that involves:

Document enrichment

Entity resolution

Knowledge Graph construction

Query handling

Chat integration

Finally, we'll cover the future roadmap and ways that you could contribute!

Speaker Bio
Adam Pingel (LinkedIn, GitHub) is IBM's Head of Open Tools and Applications for the AI Alliance. Adam has been fascinated by AI and chatbots since playing with Racter in the 80’s. But the “winters” were long and frequent. The stars aligned in 2015 when he became VPE at Ravel Law. Ravel was building AI-powered tools for the legal industry and was working with Harvard Law School on what is now known as the Caselaw Access Project. After an acquisition by LexisNexis in 2017, he moved his family to Raleigh (in 2019) to take the role of CTO of Global Platforms. In 2022 he joined IBM to work on domain-specific applications of generative AI. Adam holds an MS and BS in CS from UCLA and Stanford, respectively. When not at a keyboard, he enjoys spending time with his family.

About the AI Alliance

The AI Alliance is an international community of researchers, developers and organizational leaders committed to support and enhance open innovation across the AI technology landscape to accelerate progress, improve safety, security and trust in AI, and maximize benefits to people and society everywhere. Members of the AI Alliance believe that open innovation is essential to develop and achieve safe and responsible AI that benefit society rather than benefit a select few big players.
3 attendees from this group