Create your own production-ready, open source AI pipeline on Kubernetes
Leverages open source projects to train, validate, de-bias, deploy, and monitor ML models
About this webcast
The Hive and IBM invite you to an interactive webcast on the combination of AI techniques and Cloud. In this webcast you will see for yourself that training and deploying AI models in production using open source tools has never been easier.
Continuous development, training, testing, deployment and monitoring of machine learning models requires a highly-tuned and secure system with the right combination of software, machine learning libraries and infrastructure.
There’s also now a growing demand for fairness, accountability, and transparency from machine learning (ML) systems. And we need to remember that training data isn’t the only source of possible bias and adversarial contamination. Bias can also be introduced through inappropriate data handling, inappropriate model selection, or incorrect algorithmic design.
What we need is a ML pipeline that is open, transparent, secure and fair. We need an ML pipeline that fully integrates into the AI lifecycle. Such a pipeline requires a robust set of bias and adversarial checkers, “de-biasing” and “defense” algorithms, and explanations.
An open ML pipeline needs an infrastructure to parallelize, scale and automate distributed training of ML models. It needs to understand how to do advanced batch scheduling effectively, how to add concepts of priority, preemption, effective placement.
On the model serving side, we need a system to automate A/B tests and canary testing of models, monitoring concept drifts and accuracy losses,
In this talk Animesh Singh will show you how to build a continuous learning AI pipeline to train, validate, de-bias, deploy and monitor models, leveraging open source projects such as:
- AI Fairness 360 (AIF360)
- Adversarial Robustness Toolbox (ART)
- Fabric for Deep Learning (FfDL)
- Seldon for AI model serving
For additional capabilities and integration, Watson Studio, Watson Machine Learning, PowerAI, Trust and Transparency offerings from IBM will also be discussed for advanced enterprise AI solutions.
Join us at the Call for Code Celebration!
October 29th in San Francisco
The multi-year Call for Code Global Initiative was launched with two objectives – encourage the more than 22 million developers around the world to channel their talents by building solutions to help solve some of the world’s greatest problems and to continue to elevate and celebrate the role of the developer.
More than 100k developers took time to develop more than 2500 applications in support of helping us all better prepare and respond to Natural Disasters.
Get your free ticket
We would love to have you join us at the Call for Code Celebration Event on Monday, October 29, at the Regency Ballroom in San Francisco, CA and doors open at 7 pm. It is a unique opportunity to celebrate alongside your peers, leaders of Industry, Open Source organizations, startups, students, VC’s, non-profite organizations and first responders. During the celebration the winning team will be revealed.
We have limited number of free invitations available. If you’re interested in attending, go to http://callforcode.org/hive, click on the button to request a free ticket and complete the form. You will receive an invitation from “Call for Code” if one of them has been made available to you. Submitting a request will not guarantee that you receive a ticket.
You can also watch the event live, online, by registering for free at http://callforcode.org/hive