Cognitive on Cloud

December 20, 2016 / G C Network / Comments Off

Twitter Feed

Quantum Computing Delivered From The Cloud

By G C Network | March 6, 2017

Photo credit: Shutterstock IBM Cloud is now providing developers with the infrastructure and portal to a 5 qubit quantum computer. This equips them with the ability to build interfaces between…

Connections Redefining the Enterprise Network

By G C Network | February 23, 2017

Photo credit: Shutterstock The computer and the network that connects them are both inextricably linked to the success of any business. This truth is at the heart of our contemporary…

Business Chatbots Taking Over

By G C Network | February 9, 2017

Chat apps characteristics make them very appealing to businesses and marketers. Prominent ones include their size, user retention, usage rates, and user demographics. In fact, the combined user base of…

NCTA CloudMASTER®: The Path To Your Future

By G C Network | January 31, 2017

In 2016, cloud computing started to dominate many IT market segments. As a business, Synergy Research Group reported that industry revenue for the four quarters ended Sept. 30 grew 25%.…

Cybersecurity in the President Trump Administration

By G C Network | January 29, 2017

From the rise of increasingly capable nation-states—like Iran and North Korea—conducting destructive attacks against American private sector companies, to the continuing pace of IP theft by China striking at the…

Creating Your Digital Strategy

By G C Network | January 20, 2017

Photo credit: Shutterstock For many corporations, welcoming the New Year also heralds the season of strategy development and budget distribution. This year, however, companies of all sizes are struggling with…

CloudMASTER® Pays Well In The US Great Northwest

By G C Network | January 17, 2017

The City of Beaverton is located seven miles west of Portland, Oregon, in the Tualatin River Valley, It encompasses 19.6 square miles, and is home to more than 95,000 residents.…

NATO ACT “Art of the Possible” Interoperability Demonstration

By G C Network | January 7, 2017

GovCloud Network is proud to have served as the Program Manager for the NATO Allied Command Transformation, “Art of the Possible” Interoperability Demonstration on December 16, 2016. supporting the The…

Olisipo Can Make You A CloudMASTER®

By G C Network | December 29, 2016

Olisipo Learning in Portugal has a culture that is based on the constant search for new challenges. Recognized by their clients as the “Best HR Supplier”, they have placed more…

What is Your 2017 Business Strategy?

By G C Network | December 26, 2016

Photo credit: Shutterstock End of year predictions in December are as predictable as tomorrow’s sunrise, but a recent video on 2017 Technology Trends helped me really understand how important a…

« Previous
1
…
8
9
10
11
12
…
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.