IBM wants to open up the deep learning expertise bottleneck

With a new offering, Deep Learning-as-a-Service, IBM aims to help businesses automate key business processes, even if they lack expertise

Where some businesses are employing artificial intelligence to sell you more, IBM is using it to sell you less.

Specifically, it’s employing one set of AI tools to minimise the amount of compute time on its cloud services you need to buy in order to train another set of AI tools to run your business.

That will also allow IBM’s customers to make the most of another scarce and expensive resource, AI expertise, according to Ruchir Puri, chief architect for IBM Watson and an IBM Fellow.

“We’re lowering the barrier to entry for machine learning capabilities for enterprise,” Puri said.

The barrier Puri is talking of is the scarcity of human expertise in deep learning, a way of training an artificial intelligence in a particular domain of expertise.

The process of training an AI is computationally intensive, and typically requires staff with expertise in the domain concerned, something most businesses will have, and also in the development and tuning of deep learning models, something they may not.

“It’s becoming the bottleneck for enterprises, not everyone can afford an AI expert,” he said.

IBM incorporated deep learning tools into its Watson suite of AI technologies a few years ago, and has now amassed enough experience of fine-tuning the deep learning process that it has use it to train an AI to fine-tune the training of others.

This fine tuning concerns the choice of “hyper-parameters” used in the AI training process. A deep learning expert will have an instinctive feel for what’s right for a particular task, allowing them to minimise the amount of computing resources needed to develop a model, whereas a beginner might be forced to plod through all possible combinations of parameters in order to find the right one.

Deep Learning-as-a-Service

“Our job is to help you through the process by automated tuning, thereby narrowing the compute time and resources you might otherwise have used,” Puri said.

This tuning process is part of IBM’s latest Watson Studio offering, Deep Learning-as-a-Service, for which the company unveiled pricing on Tuesday.

There are a three tiers, the first being a free one for businesses wanting to see how good IBM’s model-tuning AI is.

The Enterprise (v2) plan is the most expensive, with a minimum spend of US$6,000 per month. This includes access to the environment for five authorised users and unlimited viewer collaborators, and 5,000 “capacity unit-hours.” (Additional hours are $0.50 each.)

One capacity unit consists of two virtual CPUs with 8GB of RAM; bigger and smaller virtual server instances are available, with a corresponding variation in their capacity unit cost.

While IBM’s goal is obviously to drive usage of its cloud AI tools -- making it cheaper and simpler to use makes it more likely that businesses will try it out -- the company is also making efforts to grow the overall market.

One of these involves an expansion of IBM’ Spark Technology Center, which focused on using Apache Spark, an open source, big data processing engine, for deep learning and other applications.

Under its new name, the Center of Open Source Data and AI Technologies, it will aim to make it easier for enterprises to create, deploy and manage AI models, and has already launched its first two initiatives.

One, the Fabric for Deep Learning (FfDL, or “fiddle”), uses the containerised application management system Kubernetes to simplify the management of computing resources in deep learning frameworks. It can orchestrate TensorFlow, Caffe, Caffe2, PyTorch, and Keras workloads across cloud computing fabrics composed of CPUs and GPUs.

The other, Model Asset eXchange (MAX), is a kind of app store for training models, providing a standardised way for businesses to deploy deep learning models that they, or others, have already built.

If you want to incorporate an AI into your existing cloud-based business processes, “You can get it trained within Watson Studio then take it outside,” Puri said.

Join the newsletter!


Sign up to gain exclusive access to email subscriptions, event invitations, competitions, giveaways, and much more.

Membership is free, and your security and privacy remain protected. View our privacy policy before signing up.

Error: Please check your email address.

Tags IBM

Keep up with the latest tech news, reviews and previews by subscribing to the Good Gear Guide newsletter.
Peter Sayer

Peter Sayer

IDG News Service
Show Comments

Brand Post

Most Popular Reviews

Latest Articles


PCW Evaluation Team

Jack Jeffries


As the Maserati or BMW of laptops, it would fit perfectly in the hands of a professional needing firepower under the hood, sophistication and class on the surface, and gaming prowess (sports mode if you will) in between.

Taylor Carr


The MSI PS63 is an amazing laptop and I would definitely consider buying one in the future.

Christopher Low

Brother RJ-4230B

This small mobile printer is exactly what I need for invoicing and other jobs such as sending fellow tradesman details or step-by-step instructions that I can easily print off from my phone or the Web.

Aysha Strobbe

Microsoft Office 365/HP Spectre x360

Microsoft Office continues to make a student’s life that little bit easier by offering reliable, easy to use, time-saving functionality, while continuing to develop new features that further enhance what is already a formidable collection of applications

Michael Hargreaves

Microsoft Office 365/Dell XPS 15 2-in-1

I’d recommend a Dell XPS 15 2-in-1 and the new Windows 10 to anyone who needs to get serious work done (before you kick back on your couch with your favourite Netflix show.)

Maryellen Rose George

Brother PT-P750W

It’s useful for office tasks as well as pragmatic labelling of equipment and storage – just don’t get too excited and label everything in sight!

Featured Content

Product Launch Showcase

Don’t have an account? Sign up here

Don't have an account? Sign up now

Forgot password?