Cognitive on Cloud

December 20, 2016 / G C Network / Comments Off

Twitter Feed

Cloud Computing Wargames !!

By G C Network | January 22, 2009

Wikipedia “A wargame is a game that represents a military operation.” “Military simulations, also known informally as war games, are simulations in which theories of warfare can be tested and refined…

President Barack Obama. A New Day for Cloud Computing !!

By G C Network | January 20, 2009

Yesterday, President Barack Obama’s transition team released a new video touting the benefits of cloud computing and government transparency. “Cloud computing, which allows consumers and institutions to access their files…

How the Government Tweets – An Update

By G C Network | January 19, 2009

Thanks goes out to Twitter_Tips for a link to Government agencies on Twitter: a few comprehensive sites posted by lindyjb which includes the following: The Government’s A-Twitter: A Comprehensive List…

How the Government Tweets

By G C Network | January 16, 2009

Last September in “Ambient Awareness. The cloud killer app? ” and ” The Cloud Wins in Minneapolis at the RNC! “, I wrote about how the cloud infrastructure and microblogging…

Bob Gourley on Cloud Computing and NetCentric Operations

By G C Network | January 15, 2009

Bob Gourley, Crucial Point CTO and former DIA CTO, just posted Cloud Computing and Net Centric Operations on his website CTOvision . In it he outlines how the OSD and ASD NII…

Obama Administration CTO Top Suggestions

By G C Network | January 14, 2009

Check out the top vote getters for suggestions to the nations’s first CTO! #5 with 5,835 votes Open Government Data (APIs, XML, RSS) We can unleash a wave of civic…

2009 Cloud Computing Events

By G C Network | January 13, 2009

2009 is off to a fast start with the following events on the horizon! February 2009 – “Bi-Annual On-line Government Cloud Computing Survey”, On-line February 3, 2009 – Open Group…

World Summit of Cloud Computing Virtual Site

By G C Network | January 12, 2009

The Israeli Association of Grid Technologies (IGT) has made its recent IGT 2008 World Summit of Cloud Computing available on-line. Speakers include: Day 1: Stevie Clifton, Co-Founder & CTO Animoto…

1105 Government Information Group does Cloud Computing

By G C Network | January 9, 2009

Mark your calendars for April 29, 2009 ! 1105 Government Information Group has announced that there will be a Cloud Computing Conference at the Ronald Reagan Building in Washington, DC.…

Sun Acquires Q-Layer

By G C Network | January 8, 2009

Yesterday, Sun Microsystems announced their acquisition of Q-layer. This Belgium based company automates the deployment and management of both public and private clouds. In the press release, David Douglas, SUN’s…

« Previous
1
…
50
51
52
53
54
…
73
Next »

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.