AI Services from IBM Systems Lab Services
June 15, 2019 at 1:00 am #6908Chekuri S. ChoudaryParticipant
IBM Systems Lab Services has developed a variety of AI services for OpenPOWER community. Please get in touch with your account team to avail these services.
AI Modernization Services
Our consultants will work with your business and technical staff towards the following goals.
• Your staff likely has plenty of ideas on leveraging AI for their line of business. We work with your staff to map these business use cases to low-level machine learning problems. In addition, we will work with your staff to scope out a Proof-of-Concept (POC) that can be implemented in a reasonable time frame. Our consultants will then implement the POC to demonstrate the value of AI as well as the IBM product line for your business.
• The enterprise machine learning applications do not exist in isolation. These applications are typically characterized by an end-to-end machine learning workflow that requires sophisticated hardware. In an interactive session, our consultants will work with your data scientists and IT personnel to design your machine learning pipeline and the underlying hardware infrastructure.
IBM WML-A Training
IBM Watson Machine Learning – Accelerator (WML-A) enables AI workloads at scale by providing exclusive development tools along with popular machine learning frameworks on IBM® Power Systems™ servers. The WML-A provides a portfolio of AI development tools including GPU-based traditional machine learning (pai4sk), training large models that are beyond the capacity of a single GPU (LMS), automation and parallelization of hyper parameter tuning (DLI), elastic distributed training across multiple GPUs and servers (EDT), and elastic distributed inferencing (EDI).
This multi-day training kicks off with how WML-A fits into the broader Watson portfolio. For data scientists, it provides quick and sufficient overview of the underlying algorithms and technologies in the WML-A development tools followed by hands-on experience on IBM servers. It takes your experience beyond demos and provides immersive experience through hands-on exercises. In addition, our consultants will assist in leveraging the WML-A AI development tools for your particular model and code. The training agenda and its duration can be further customized and tuned for your individual needs.
Machine Learning Training for Application Engineers
It is widely accepted that there is shortage of machine learning engineers. The short-term solution for this issue is to train your existing software engineers to become machine learning engineers. Though there are plenty of online courses and tutorials, your software engineers are not able to dedicate several months for learning the core concepts of machine learning, state-of-the-art software frameworks and programming paradigms, related hardware technologies such as GPU architectures, cross disciplinary technologies such as natural language processing, and real world use cases.
In this multi day training, our experienced consultants will provide a jump start training that overlays all the above aspects with a blend of theory and hands-on experience. The hands-on exercises are designed with real world use cases in your business vertical. The exercises run on IBM Systems hardware specifically designed for machine learning workflows.
We conduct an initial survey to understand the interests of your staff and the anticipated outcome from the training. The content and duration of the training is then customized for your organization.
- This topic was modified 1 year, 7 months ago by Chekuri S. Choudary.
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