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Cognitive on Cloud

Yahoo-Microsoft Merger Proxy Fight – May 14, 2008

By G C Network | May 18, 2008

As I alluded to last week, “It’s not over ’till it’s over” Carl Ichan Looking to Start Yahoo Proxy Fight Money – The Microsoft-Yahoo Merger may not be over. Billionaire investor Carl C. Icahn is considering the prospect of starting a proxy fight to gain several seats on Yahoo’s board in hopes of restarting negotiations…

Now in the ring Sun/Amazon! – May 04, 2008

By G C Network | May 18, 2008

The Sun/Amazon cloud may be announced soon. Sun CEO Jonathan Schwartz delivered a short keynote at Startup Camp in San Francisco, an adjunct event to the JavaOne Conference. According to Om Malik at “buzzya“, he let on to some interesting cloud computing news coming out later this week. Important Article on Cloud Computing and Jeff…

Microsoft gives up on Yahoo? – May 04, 2008

By G C Network | May 18, 2008

“Cloud computing is far more than a concept. With Broadband Internet connections now all-but-ubiquitous and microcomputers and locally-run software now so trouble-prone, Cloud Computing’s time has come.” This is a quote from Steve Stroh’s newly started blog on cloud computing. Steve has been writing about about Broadband Wireless Internet Access systems and technology since beginning…

IBM, Google and the Blue Business Platform – May 01, 2008

By G C Network | May 18, 2008

Today was good !! This morning. there was a main session built around “CIO 2.0”. The basic premise was that CIOs have now earned a seat at the business management table. With that privilege, they now need to have something worthwhile to say. In accordance with the session’s title then, CIOs are now at a…

The coming cloud – April 30, 2008

By G C Network | May 18, 2008

I attended the IBM Public Sector briefing this morning. The IBM executives were clearly basking in a financial performance glow. After ending 2007 with increases in revenue, profit and earnings per share, IBM also turned in an impressive 1Q’08. This being a partner conference, a big highlight was the fact that 36% of IBM’s revenue…

Google, Cloud Computing, and the US Intelligence Community – April 29, 2008

By G C Network | May 18, 2008

Just arrived in Los Angeles for the IBM Business Partner Leadership Conference. IBM is billing this as a “new” conference, but I have my doubts. I am, however, very interested in hearing many of the speakers, particularly Eric Schmidt, Chairman and CEO of Google. His presentation on “The Future of the Web, Cloud Computing and…

Location Based Services – April 25, 2008

By G C Network | May 18, 2008

INmobile.org is a exclusive community for executives in wireless industry. As a member, I have the opportunity to participate in a number of interesting discussions about mobile and wireless technology. Here’s a summary of the points made in a recent discussion about location based services. Thanks goes to Adam Zawel for this excellent summary. CARRIER’S…

IBM Business Partner Leadership Conference – April 23, 2008

By G C Network | May 18, 2008

I just completed registration for the IBM Business Partner Leadership Conference. This is a new invitation-only conference being held this year in Los Angeles from Wednesday, April 30th through Friday, May 2nd. I’m looking forward to renewing my IBM contacts “in person” versus the “virtual” meetings that have become such a fixture of today’s business…

Telephone & Web = WOW !! – April 21, 2008

By G C Network | May 18, 2008

The power of the Internet and the web lies in its ability to provide access to information. The mobile web takes this one step further with its ability to provide information relevant to a specific location. Although the promise of this marriage is mind boggling, computer and smart-phone keyboards have slowed the adoption and widespread…

The Power of Family Oral History – April 19, 2008

By G C Network | May 18, 2008

Although I just started this yesterday, I’ve decided to backdate this entry to last Saturday, April 12, 2008. That’s when my family had it’s 3rd Annual Black History Party. The main reason I’m doing this is because of the life lesson that experience taught me. That lesson was the power of family oral history. For…

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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.

Cloud Musings

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