Cognitive on Cloud

Amazon’s Jeff Bezos on Cloud Computing

By G C Network | June 18, 2008

Amazon’s Jeff Bezos on Cloud Computing How and when Amazon began its cloud computing effort.Why Amazon has become an innovator with Amazon Web Services and how it relates to their…

Dataline, IBM, Google, Northrop Grumman on Cloud Computing

By G C Network | June 17, 2008

My company, Dataline LLC, in cooperation with IBM, Google and Northrop Grumman Mission Systems, is sponsoring an educational series entitled “Cloud Computing in a Netcentric Environment“. The series will be…

EMC Studies Cloud Computing Security

By G C Network | June 17, 2008

Storage firm EMC has joined the Daoli Trusted Infrastructure Project which conducts research into “trust and assurance” in cloud computing environments. The team’s research will focus on cloud computing, trusted…

The Cloud Computing Marketplace

By G C Network | June 17, 2008

For explaination and details see Understanding the Cloud Computing/SaaS/PaaS markets: a Map of the Players in the Industry by Peter Laird, Kent Dickson, and Steve Bobrowski from Oracle. Update: Please…

Key cloud computing concerns by CXO’s

By G C Network | June 16, 2008

Key cloud computing concerns by CXO’s attending the Enterprise 2.0 Conference in Boston were addresed in a June 9th panel of executives from Google, Amazon Web Services (AWS), and Salesforce.com.…

IBM Cloud Computing Center

By G C Network | June 13, 2008

On June 5th, IBM announced it will establish the first Cloud Computing Center for software companies in China, which will be situated at the new Wuxi Tai Hu New Town…

EUCALYPTUS – An Open Source Cloud Computing Platform

By G C Network | June 13, 2008

Elastic Utility Computing Architecture for Linking Your Programs To Useful Systems (EUCALYPTUS) is a new project that seems to be trying to put an “open source” flavor to cloud computing.…

The Honorable John G. Grimes Speaks about Cloud Computing

By G C Network | June 12, 2008

Today I had the pleasure of hearing The Honorable John G. Grimes, Assistant Secretary of Defense for Networks and Information Intergration and Department of Defense CIO, speak on some key…

Amazon leads Google into the cloud (So what else is new)

By G C Network | June 12, 2008

In this May 1, 2008 Globe and Mail Update article, Mathew Ingram provides an excellent comparison of Amazon and Google’s cloud computing initiatives. Bottom line: Amazon leads the pack with…

Web 2.0 Expo – What is Cloud Computing?

By G C Network | June 11, 2008

For some interesting views, take a look at these video interviews on what is cloud computing. These were done during the recent Web 2.0 Expo, April 22-25 in San Francisco,…

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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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