Cognitive on Cloud

December 20, 2016 / G C Network / Comments Off

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Leading Federal Integrators Address Tactical Cloud Computing

By G C Network | October 7, 2009

Yesterday during the first annual Government IT Conference and Expo, tactical cloud computing was cited as a critical component within this new paradigm. Joining me to address the issue were:…

Carpathia Creates Government Solutions Business Unit

By G C Network | October 6, 2009

In a strong statement of focus, Carpathia Hosting has announced the formation of Carpathia Government Solutions, a unit dedicated to providing solutions specifically for federal civilian and defense agencies. This…

INPUT FedFocus 2010

By G C Network | September 30, 2009

Please join me at the 7th Annual FedFocus Conference, November 5, 2009, at the Ritz Carlton in McLean, VA. This conference has been designed to provide crucial information on upcoming…

Dataline, Lockheed Martin, SAIC, Unisys on Tactical Cloud Computing

By G C Network | September 25, 2009

I’m proud to announce that representatives from Lockheed Martin, SAIC, and Unisys will join me in a Tactical Cloud Computing “Power Panel” at SYS-CON’s 1st Annual Government IT Conference &…

GSA, DoD and NCOIC to Collaborate on Government Cloud Computing

By G C Network | September 22, 2009

Yesterday, during the NCOIC Cloud Computing Workshop, collaboration seemed to be the focus as Katie Lewin, GSA Cloud Computing Initiative Program manager, and Dan Risacher, DoD Cloud Computing Storefront project…

FederalNewsRadio Highlights Government Cloud Computing

By G C Network | September 20, 2009

Last week’s Apps.gov announcement was the latest steps in the government’s “at the quick step” march into cloud computing. FederalNewsRadio, a Washington metro area media fixture, highlighted the event with…

NCOIC Officially Launches Cloud Computing Working Group

By G C Network | September 14, 2009

On Wednesday, 9 September 2009 the Network Centric Operations Industry Consortium (NCOIC) Technical Council formally approved the creation of a Cloud Computing Working Group (CCWG). Organizationally this new working group…

1 Billion Mobile Cloud Computing Subscribers !!

By G C Network | September 10, 2009

Yes. That’s what I said! A recent EDL Consulting article cites the rising popularity of smartphones and other advanced mobile devices as the driving force behind a skyrocketing mobile cloud…

NCOIC Holding Full-Day Cloud Computing Workshop

By G C Network | September 4, 2009

The Network Centric Operations Industry Consortium will be holding an all day Cloud Computing Workshop on September 21, 2009 in Fairfax, VA. Open to the public, this workshop will focus…

Pentagon Reviews Unisys Stealth

By G C Network | August 31, 2009

According to a Newtworkworld.com article, the United States Joint Forces Command (USJFC) is currently evaluating Unisys Stealth technology at the Joint Transformation Command for Intelligence (JTC-I) in Suffolk, Virginia. “Unisys…

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Photo credit: Shutterstock

According to the IBM Institute for Business Value the market will see a rapid adoption of initial cognitive systems. The most likely candidates have moved beyond descriptive and diagnostic, predictive and routine industry-specific capabilities. 70 percent of survey respondents are currently using advanced programmatic analytics in three or more departments. In fact, the widespread adoption of cognitive systems and artificial intelligence (AI) across various industries is expected to drive worldwide revenues from nearly US$8.0 billion in 2016 to more than US$47 billion in 2020.

The analyst firm IDC predictsthat the banking, retail, healthcare and discrete manufacturing industries will generate more than 50% of all worldwide cognitive/ AI revenues in 2016. Banking and retail will each deliver nearly US$1.5 billion, while healthcare and discrete manufacturing will deliver the greatest revenue growth over the 2016-2020 forecast period, with CAGRs of 69.3% and 61.4%, respectively. Education and process manufacturing will also experience significant growth over the forecast period.

Figure 1– Credit Cognitive Scale Inc.

So what can cognitive computing really do? Three amazing examples of this burgeoning computing model include:

· DeepMind from Google that can mirror some of the brain’s short-term memory properties. This computer is built with a neural network capable of interacting with external memory. DeepMind can “remember” using this external memory and use it to understand new information and perform tasks beyond what it was programmed to do. The brain-like abilities of DeepMind mean that analysts can rely on commands and information, which the program can compare with past data queries and respond to without constant oversight.

· IBM Watson which has a built-in natural language processor and hypothesis generator that it uses to perform evaluations and accomplish dynamic learning. This system is a lot more advanced than the digital assistants on our smartphones and allows users to ask questions in plain language, which Watson then translates into data language for querying.

· The Qualcomm Zeroth Cognitive Computing Platform that relies on visual and auditory cognitive computing in to reflect human-like thinking and actions. A device running the platform can recognize objects, read handwriting, identify people and understand the overall context of a setting. Zero
th’s ability to replicate intuitive experiences provides a number of opportunities within sentiment analysis. With its ability to understand scenes and context, it can decipher how people are feeling based off facial expressions or voice stress levels.

This shift to cognitive computing will occur within the next 12 to 14 months for many organizations and cognitive era success requires data centric management culture, a common requisite for secure cloud computing. This similarity should not be surprising because both computing models:

Need robust and simplified data classification processes in order to more easily deliver industry and business model specific value;
Require the implementation of information technology security controls that are driven by data value and role based access control paradigms; and
Leverage software applications that should be developed using ISO 27034 which is a multi-part standard on specifying, designing/selecting and implementing information security controls through a set of processes integrated throughout an organization’s Systems Development Life Cycle/s (SDLC).

Companies that are leveraging cloud today must also prepare for the cognitive computing era. This blend of cloud and cognitive has, in fact, created a brand new application development model.

Referred to as “Cognitive on cloud”, this model delivers cognitive services running in the cloud that are consumable via representational state transfer (REST) APIs. These services are available as part of platform-as-a-service (PaaS) offerings such as Bluemix and can be easily bound to an application while coding.

Using this approach, cognitive analytics such as voice (tone analyzer, speech-to-text) and video (face detection, visual recognition) capabilities enables quick analysis of petabytes of unstructured data. Developing cognitive applications to run on mobile devices has provided new insights which help organizations create totally new revenue streams. When selecting a cloud service provider however cognitive on cloud ROI requires more than just a total cost of ownership comparison. In addition to this basic analysis, an organization must consider which cloud is cognitive enabled at the Platform-as-a-Service (PaaS) layer. The convergence of cognitive computing and cloud is driving this cognitive-oriented digital economy and the potential return is seemingly unlimited.

This post was brought to you by IBM Global Technology Services. For more content like this, visit IT Biz Advisor.