talk-data.com talk-data.com

Company

IBM Research

Speakers

6

Activities

18

Speakers from IBM Research

Talks & appearances

18 activities from IBM Research speakers

In this meetup, we will provide an overview of the Fabric-X-Committer architecture and share performance evaluation results that highlight its scalability and efficiency.

In this meetup, we will provide an overview of the Fabric-X-Committer architecture and share performance evaluation results that highlight its scalability and efficiency.

A session focusing on the endorsement phase of Fabric-X, comparing it to traditional Hyperledger Fabric, with hands-on examples showing how the new model streamlines development for tokenization use cases and on-chain asset transfer. The session will also cover practical deployment strategies using Ansible and Kubernetes.

A deep dive into the Fabric-X endorsement phase, highlighting how it differs from the traditional Hyperledger Fabric model. Through hands-on examples, we’ll demonstrate how the new model streamlines development for designing decentralized applications and tokenization use cases.

A session exploring the Fabric-X endorsement phase, how it differs from the traditional Hyperledger Fabric model, and implications for developers. We'll cover tokenization use cases, hands-on examples, and practical deployment strategies using Ansible and Kubernetes.

In this session, we’ll take a deep dive into the endorsement phase of Fabric-X, highlighting how it differs from the traditional Hyperledger Fabric model and what these changes mean for developers. Through hands-on examples, we’ll demonstrate how the new model streamlines development and unlocks exciting possibilities for designing decentralized applications. We’ll also explore how to build applications tailored for tokenization use cases.

Overview of OSS project involvement, including why choosing a project matters, types of OSS communities, what project leads care about, and a roadmap to getting involved with OSS projects, plus a live demo. Presented by Trevor Grant (IBM Research), drawing on his experience and current open source interests in qumat (Apache Mahout) and gofannon (AI Alliance).