IBM expands its machine learning portfolio with TensorFlow

TensorFlow support through IBM PowerAI aims to provide enterprises with an option to develop advanced machine learning products

IBM

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A tech savvy humanBOT, Sharmistha is a professional writer

IBM announced that its PowerAI distribution for popular open source Machine Learning and Deep Learning frameworks on the POWER8 architecture will now support the TensorFlow 0.12 framework that was originally created by Google. The move will enable IBM PowerAI to provide enterprises with another option for fast, flexible, and production-ready tools and support for developing advanced machine learning products and systems.

IBM explains that as one of the fastest growing fields of machine learning, deep learning makes it possible to process enormous datasets with millions or even billions of elements and extract useful predictive models. Deep learning is transforming the businesses of leading consumer Web and mobile application companies, and it is quickly being adopted by more traditional business enterprises as well.

“TensorFlow is quickly becoming a viable option for companies interested in deploying deep learning for tasks ranging from computer vision, to speech recognition, to text analytics. IBM’s enterprise offering of TensorFlow will help organizations deploy this framework — we’re glad to see this support,” said Rajat Monga, Engineering leader, TensorFlow.

IBM developed PowerAI, enterprise distribution and support for open-source machine and deep learning frameworks used to build cognitive applications. It helps reduce the complexity and risk of deploying these open source frameworks for enterprises on the Power architecture.

IBM Technology Support Services also plans to build upon its optimal hardware support services by investing and launching a new innovative enterprise software support offering that gives clients the integrated support they need on the PowerAI stack for a competitive advantage.

Further, IBM Global Business Solutions established a deep learning design and development team as part of its Cognitive Business Solutions practice to help build solutions on the PowerAI platform, while making use of popular frameworks such as Tensorflow.

The team aims to help clients realize the transformative value of cognitive solutions, while combining the world of design thinking and PowerAI solution development to bring deep learning services to the enterprise.

“Every enterprise is looking at emerging artificial intelligence methods to take advantage of the data they now have access to,” said Ken King, General Manager, IBM, OpenPOWER.

“Our PowerAI software offering curates, packages, and provides enterprise-level support for the major deep learning frameworks like TensorFlow, to enable enterprises to easily use these new AI methods to build new computer models for analyzing their data,” King added.

IBM also added the Chainer deep learning framework to the latest release of PowerAI. PowerAI now includes CAFFE, Chainer, TensorFlow, Theano, Torch, NVIDIA DIGITS, and several other machine and deep learning frameworks and libraries.

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