Cognitive on Cloud

“Cash for Clunkers” Should Have Used the Cloud!

By G C Network | August 24, 2009

Rich Bruklis wrote an excellent essy on how the government missed a perfect opportunity to use cloud computing. In “Cloud Opportunity Missed” he writes: “It appears that the voucher system…

US Navy Experiments With Secure Cloud Computing

By G C Network | August 20, 2009

This week in San Diego, CA the US Navy held the initial planning conference for Trident Warrior ’10. The Trident Warrior series is the premier annual FORCEnet Sea Trial Event…

GSA To Present On Cloud Initiative at NCOIC Plenary

By G C Network | August 13, 2009

A General Services Administration (GSA) representative is now scheduled to provide a briefing on the agency’s cloud computing initiative during a “Best Practices for Cloud Initiatives using Storefronts” session on…

FAA CIO Focuses on Cybersecurity

By G C Network | August 12, 2009

During this week Federal Executive Forum, FAA CIO Dave Bowen mentioned protection against software vulnerabilities, wireless intrusion and website vulnerabilities as his top cybersecurity priorities. As the Assistant Administrator for…

DHS Asst. Secretary Addresses Cybersecurity Priorities

By G C Network | August 11, 2009

Greg Schaffer, Assistant Secretary for CyberSecurity & Communications for the US Department of Homeland Security, sees Trusted Internet Connections, EINSTEIN, and front line defense of the nation’s networks as top…

US DoD Chief Security Officer on Cybersecurity Priorities

By G C Network | August 10, 2009

In a Federal Executive Forum interview, Robert Lentz, Chief Security Officer for the US Department of Defense, highlighted the departments cybersecurity priorities. Mr. Lentz is the Deputy Assistant Secretary of…

Twitter Under Denial of Service Attack

By G C Network | August 6, 2009

Multiple sources are reporting that Twitter continues to be under a denial of service attack. Some are speculating that this represents the power of a coordinated bot network attack. For…

NCOIC Holding Full Day Cloud Computing Session

By G C Network | August 5, 2009

The Network Centric Operations Industry Consortium (NCOIC) will be holding a one-day cloud computing session during its plenary meetings, 21-25 September at the Fair Lakes Hyatt in Fairfax, VA. A…

Sevatec a New Player in the Federal Cloud Computing Market

By G C Network | August 3, 2009

Just in time for the new Federal Cloud Computing Storefront, Sevatec, Inc. is announcing the development of a toolkit to help federal agencies transform their enterprise architectures to cloud computing…

GSA Releases Cloud Computing RFQ

By G C Network | July 31, 2009

Following through on a much anticipated action, GSA released their Cloud Computing Request For Quotation (RFQ) today. Cloud computing is a major part of President Obama’s reform effort and this…

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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.

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