Compute Services

Combine organizational transformation and IBM Cloud infrastructure for a successful AI journey

Share this post:

If you stay up to date on the latest IT trends, you probably hear about AI, analytics and deep learning as the newest and most innovative technology for businesses…and rightfully so. According to International Data Corporation’s (IDC’s) latest research, it’s now a fact that the AI, analytics and cognitive markets are growing rapidly – fuelled by cloud infrastructure capabilities that empower enterprises of all sizes to focus on analytics and deep learning.

With the vast amounts of data produced and held by enterprises, it’s now being used to formulate actionable knowledge to drive competitive business decisions.  Per IDC: “by 2019, cognitive computing, artificial intelligence, and machine learning will become the fastest-growing disciplines within software development; and by 2021, 90% of enterprise development teams will be using cognitive/AI and machine learning tools and services as part of their toolsets.” [1] IDC goes on to say that by 2021, “50% of enterprise infrastructure will employ some form of cognitive and artificial intelligence to improve enterprise productivity.”

With our recent cloud infrastructure and Deep-Learning-as-a-Service (DLaaS) announcements, IBM Cloud is a key contributor to the push towards AI. We’ve delivered a comprehensive suite of AI tools, high performance bare metal servers, and NVIDIA® GPUs that enables companies of all sizes to analyze complex unstructured data faster, more thoroughly and accurately, and at a far less cost than ever before.

IDC states, “IBM, long a leader in cognitive technology, has brought their capabilities to link big data with powerful hardware accelerators (e.g. NVIDIA® GPUs) in the flexibility of a scalable cloud infrastructure with the addition of deep learning with Watson Studio as part of Watson Machine Learning. With the new deep learning service, IBM shows how cognitive computing no longer depends on high performance computing environments (HPC), making it accessible to and affordable for many organizations.  Available as a service from the IBM Cloud catalog, Watson Machine Learning enables data scientists in building new or enhancing existing applications with deep learning capabilities, as well as application developers who are typical consumers of deep learning models.”

To power our new DLaaS capabilities, the IBM Cloud platform uses the industry’s largest and most powerful bare metal servers that deliver up to 8-Sockets (192 Cores) and 8 TB of RAM – all based on the latest Intel® Xeon® processor technology.  Through IBM Cloud bare metal servers and NVIDIA® Tesla® V100, P100, and K80 GPUs, coupled with DLaaS and the Watson Machine Learning, companies can distribute and coordinate deep learning processes across the enterprise in a secure, dynamically scalable hybrid cloud environment, so data analysis and learning can occur where the data originates – eliminating the need to move petabytes of data across the network.

So, what’s the value in the way analytics, such as DLaaS, is transforming businesses?  Per IDC, “The ability to process information immediately enables organizations to make real-time decisions and react to the fast-changing business environments. The speed at which infrastructures can deliver insights based on a stream of information will impact many use cases such as developing dynamic advertising campaigns and addressing widespread and complex security challenges. In many cases, the insights gained via cloud-delivered cognitive applications are simply not possible via a more manual application due to the sheer volume and velocity of data involved.”

For companies starting their AI journey, IDC recommends “creating an AI center of excellence to encourage discovery, learning, and cross-organizational collaboration between businesses, IT, and data scientists. Plan for creating technology capabilities — including platforms, technologies, processes, governance, talent, and data components — that will empower the enterprise.”  In addition, “organizations need to have a strong AI strategy that makes the best use of resources while protecting and securing the enterprise from threats and malefactors. Deep Learning as a Service offerings such as IBM Cloud provide a safe and secure method of achieving this while at the same time providing agile economical tools to build and run AI based applications.”

Take action – check out the resources below!

[1] “Organizational Transformation Leveraging Modern Infrastructure to Deliver Cognitive, AI and Analytics Capabilities”, David Schubmehl, Larry Carvalho, Donna Nitchie, IDC, April 2018

IBM GTM Offering Manager

More Compute Services stories
December 11, 2018

Unifying Containers, Apps, and Functions

Innovative solutions like Knative and Istio are leading us to a unified container application platform that lets developers leverage the best of containers, apps, and functions in a single integrated way.

Continue reading

December 11, 2018

Using Availability Zones to Enhance Event Streams Resilience

With the Enterprise plan of IBM Event Streams, you can deploy Kafka across availability zones to maximize both its resilience to failures and the durability of your message data. Applications can use Kafka to achieve the right balance of availability and durability to meet your business needs.

Continue reading

December 10, 2018

The Run Up to KubeCon: Easing the Burden of Security and Infrastructure Management

In the run up to KubeCon, IBM Cloud announced new capabilities to ease Kubernetes operations and improve security across multiple cloud architectures.

Continue reading