News Stay informed about the latest enterprise technology news and product updates.

IBM lures developers with AI and machine learning projects

IBM open source projects help to facilitate the creation of machine learning apps and grow that developer base.

Already a leader in the advancement of artificial intelligence, IBM has brought AI technology to developers with...

open arms.

IBM recently launched a series of projects for developers to access open source code and services to build AI and machine learning applications. The vendor wants to democratize these technologies, so they can be easily accessed and consumed by developers in open source communities and within the enterprises, said Angel Diaz, IBM's vice president of developer advocacy and technology, who oversees the vendor's developer outreach.

IBM has expanded the focus of its Center for Open-Source Data and AI Technologies in San Francisco -- formerly the Spark Technology Center -- to cover the enterprise AI lifecycle, which examines the gamut of AI and machine learning technologies with an initial focus on deep learning, Diaz said at the IBM Think 2018 conference last month.

The idea is to lower the barrier to entry and make it easier for developers to apply AI and machine learning techniques to business processes.

MAX and FfDL projects

Angel Diaz, IBM vice president of developer advocacy and technologyAngel Diaz

As part of this expansion, IBM added more data scientists and AI engineers, which has resulted in new projects, such as the Model Asset eXchange (MAX) and the Fabric for Deep Learning (FfDL) which is pronounced "fiddle."

MAX is an open source ecosystem for data scientists and AI developers to share and consume models that use machine learning engines, such as TensorFlow, PyTorch and Caffe2, Diaz said. It also provides a standard approach to classify, annotate, and deploy these models for prediction and inferencing. Developers can customize the models in IBM's new Watson Studio AI application development platform. Additionally, developers can train and deploy MAX models for production workloads that use Watson Studio, such as internet-of-things applications, said Guido Jouret, chief digital officer at ABB.

IBM's MAX not only avoids the cost and time for developers to create these models themselves, but they also get access to the open source community to continually add and improve on these models, said Kathleen Walch, senior analyst at Cognilytica, based in Washington, D.C..

With the open source project FfDL, companies now have access to a deep learning framework to help them achieve their AI and ML goals faster.
Kathleen Walchsenior analyst, Cognilytica

"It helps level the playing field for smaller companies [that] don't have as much data or resources," she said.

Meanwhile, FfDL presents a cloud-native service for popular open source frameworks TensorFlow, Caffe and PyTorch. It uses Kubernetes to provide a scalable, fault-tolerant deep learning framework. IBM Watson Studio's Deep Learning as a Service capability is based on FfDL.

Companies are increasingly focused on artificial intelligence and how they can incorporate AI products and services, but their resources are scarce, Walch said.

"With the open source project FfDL, companies now have access to a deep learning framework to help them achieve their AI and ML goals faster," she added.

Next Steps

Steps for success with machine learning projects

Dig Deeper on Software Development Fundamentals

Join the conversation

2 comments

Send me notifications when other members comment.

Please create a username to comment.

How well-prepared are your developers for creating AI and machine learning apps?
Cancel
Trying to get  some developers up to speed on AI and machine learning. Its the new buzz word even though the field has been around for decades. So trying to manage customer expectations, understanding with reality is the current challenge. This article is s sales pitch for the IBM AI platform and I was hoping for some references to industry best practices and standards.
Cancel

-ADS BY GOOGLE

SearchMicroservices

TheServerSide.com

SearchCloudApplications

SearchAWS

SearchBusinessAnalytics

SearchHRSoftware

SearchHealthIT

DevOpsAgenda

Close