Cognitive on Cloud

December 20, 2016 / G C Network / Comments Off

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CloudCamp Federal @ FOSE

By G C Network | February 9, 2009

Sign up now CloudCamp Federal @ FOSE, March 10,2009, 3pm – 8:30pm at the Walter E. Washington Convention Center, 801 Mount Vernon Place NW , Washington, DC. As a follow-up…

Thank You NVTC “Cool Tech” and TechBISNOW !!

By G C Network | February 6, 2009

Thank you to Dede Haas, Chris D’Errico and the Northern Virginia Technology Council for the opportunity to speak at yesterday’s NVTC “Cool Tech” Committee meeting! The Agilex facilities were awesome…

A Significant Event in Cloud Interoperability

By G C Network | February 6, 2009

On Jan 20th, GoGrid released it’s API specification under a Creative Commons license. “The Creative Commons Attribution Share Alike 3.0 license, under which the GoGrid cloudcenter API now falls, allows…

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By G C Network | February 4, 2009

Dataline, Booz|Allen|Hamilton and the Government Cloud Computing Community have teamed together to sponsor the 2nd Government Cloud Computing Survey. Cloud Computing has come a long way since the first survey six months…

Gartner Lays Out 7-year Plan for Cloud Computing

By G C Network | February 3, 2009

According to Gartner’s new report, cloud computing will go through three phases over seven years before it will mature as an industry; – Phase 1: 2007 to 2011 — Pioneers…

Cloud Interoperability Magazine Launches

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My congratulations goes out today to Reuven Cohen on the launch of Cloud Interoperability Magazine. The site will focus on Cloud Computing, standardization efforts, emerging technologies, and infrastructure API’s. As the new…

Why Can’t We Eliminate the “Technology Refresh” RFP?

By G C Network | February 2, 2009

In order to maintain life cycle and technology, the Navy is upgrading server farms at fifteen (15) sites and any future sites throughout the Far East, Europe and Middle East…

Cloud & the Government Session at Cloud Computing Expo

By G C Network | January 29, 2009

Earlier this week I announced that I will be presenting at SYS-CON’s 2nd International Cloud Computing Conference & Expo in New York City this coming March 30-April 1, 2009. During…

CSC and Terremark target US Government with Cloud Computing

By G C Network | January 27, 2009

Today’s announcement by CSC reinforced the strong wave of cloud computing towards the Federal space. Ranked by Washington Technology Magazine as 9th largest (by contract dollar value) government contractor, this…

Should my agency consider using cloud computing?

By G C Network | January 26, 2009

This is clearly the question on the minds and lips of every government IT decsionmaker in town. Why should a government agency even consider cloud computing? In reality, the decision…

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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.