100 Cognitive Computing Success Criteria

What is involved in Cognitive Computing

Find out what the related areas are that Cognitive Computing connects with, associates with, correlates with or affects, and which require thought, deliberation, analysis, review and discussion. This unique checklist stands out in a sense that it is not per-se designed to give answers, but to engage the reader and lay out a Cognitive Computing thinking-frame.

How far is your company on its Cognitive Computing journey?

Take this short survey to gauge your organization’s progress toward Cognitive Computing leadership. Learn your strongest and weakest areas, and what you can do now to create a strategy that delivers results.

To address the criteria in this checklist for your organization, extensive selected resources are provided for sources of further research and information.

Start the Checklist

Below you will find a quick checklist designed to help you think about which Cognitive Computing related domains to cover and 100 essential critical questions to check off in that domain.

The following domains are covered:

Cognitive Computing, Adaptive system, Adaptive user interface, Affective computing, Artificial intelligence, Artificial neural network, Automated reasoning, Cognitive computer, Cognitive reasoning, Computer vision, Computing platform, Context awareness, Data analysis, Dialog system, Enterprise cognitive system, Face detection, Fraud detection, Human brain, Human–computer interaction, Machine learning, Risk assessment, Sentiment analysis, Signal processing, Social neuroscience, Speech recognition, Synthetic intelligence, Unstructured data, Unstructured information:

Cognitive Computing Critical Criteria:

Inquire about Cognitive Computing planning and intervene in Cognitive Computing processes and leadership.

– What are the success criteria that will indicate that Cognitive Computing objectives have been met and the benefits delivered?

– How do mission and objectives affect the Cognitive Computing processes of our organization?

Adaptive system Critical Criteria:

Derive from Adaptive system tasks and achieve a single Adaptive system view and bringing data together.

– In the case of a Cognitive Computing project, the criteria for the audit derive from implementation objectives. an audit of a Cognitive Computing project involves assessing whether the recommendations outlined for implementation have been met. in other words, can we track that any Cognitive Computing project is implemented as planned, and is it working?

– What potential environmental factors impact the Cognitive Computing effort?

– Is There a Role for Complex Adaptive Systems Theory?

Adaptive user interface Critical Criteria:

Mine Adaptive user interface tasks and test out new things.

– Is there a Cognitive Computing Communication plan covering who needs to get what information when?

– How do we go about Securing Cognitive Computing?

Affective computing Critical Criteria:

Meet over Affective computing issues and diversify disclosure of information – dealing with confidential Affective computing information.

– Is maximizing Cognitive Computing protection the same as minimizing Cognitive Computing loss?

– What are the short and long-term Cognitive Computing goals?

Artificial intelligence Critical Criteria:

Powwow over Artificial intelligence failures and create Artificial intelligence explanations for all managers.

– Do the Cognitive Computing decisions we make today help people and the planet tomorrow?

– How will you know that the Cognitive Computing project has been successful?

– How can we improve Cognitive Computing?

Artificial neural network Critical Criteria:

X-ray Artificial neural network planning and check on ways to get started with Artificial neural network.

– How do senior leaders actions reflect a commitment to the organizations Cognitive Computing values?

– What are the business goals Cognitive Computing is aiming to achieve?

Automated reasoning Critical Criteria:

Inquire about Automated reasoning strategies and oversee Automated reasoning requirements.

– Do you monitor the effectiveness of your Cognitive Computing activities?

– Can Management personnel recognize the monetary benefit of Cognitive Computing?

– What are the long-term Cognitive Computing goals?

Cognitive computer Critical Criteria:

Value Cognitive computer tasks and perfect Cognitive computer conflict management.

– What are the barriers to increased Cognitive Computing production?

– How is the value delivered by Cognitive Computing being measured?

Cognitive reasoning Critical Criteria:

Closely inspect Cognitive reasoning outcomes and triple focus on important concepts of Cognitive reasoning relationship management.

– What is our formula for success in Cognitive Computing ?

– How can the value of Cognitive Computing be defined?

– How to Secure Cognitive Computing?

Computer vision Critical Criteria:

Frame Computer vision governance and budget the knowledge transfer for any interested in Computer vision.

– What are our best practices for minimizing Cognitive Computing project risk, while demonstrating incremental value and quick wins throughout the Cognitive Computing project lifecycle?

– What are our needs in relation to Cognitive Computing skills, labor, equipment, and markets?

– What new services of functionality will be implemented next with Cognitive Computing ?

Computing platform Critical Criteria:

Pilot Computing platform results and correct Computing platform management by competencies.

– Does Cognitive Computing systematically track and analyze outcomes for accountability and quality improvement?

– Are we making progress? and are we making progress as Cognitive Computing leaders?

– Is the scope of Cognitive Computing defined?

Context awareness Critical Criteria:

Give examples of Context awareness tactics and summarize a clear Context awareness focus.

– Information/context awareness: how can a developer/participant restore awareness in project activity after having been offline for a few hours, days, or weeks?

– Where do ideas that reach policy makers and planners as proposals for Cognitive Computing strengthening and reform actually originate?

– Do those selected for the Cognitive Computing team have a good general understanding of what Cognitive Computing is all about?

– How would one define Cognitive Computing leadership?

Data analysis Critical Criteria:

Jump start Data analysis management and research ways can we become the Data analysis company that would put us out of business.

– What is the difference between Data Analytics Data Analysis Data Mining and Data Science?

– How do we manage Cognitive Computing Knowledge Management (KM)?

– What are some real time data analysis frameworks?

– Who needs to know about Cognitive Computing ?

– How much does Cognitive Computing help?

Dialog system Critical Criteria:

Disseminate Dialog system visions and raise human resource and employment practices for Dialog system.

– Think about the people you identified for your Cognitive Computing project and the project responsibilities you would assign to them. what kind of training do you think they would need to perform these responsibilities effectively?

– Do several people in different organizational units assist with the Cognitive Computing process?

– When a Cognitive Computing manager recognizes a problem, what options are available?

Enterprise cognitive system Critical Criteria:

Examine Enterprise cognitive system management and explain and analyze the challenges of Enterprise cognitive system.

– How can you negotiate Cognitive Computing successfully with a stubborn boss, an irate client, or a deceitful coworker?

– Who will provide the final approval of Cognitive Computing deliverables?

Face detection Critical Criteria:

Weigh in on Face detection outcomes and diversify disclosure of information – dealing with confidential Face detection information.

– Meeting the challenge: are missed Cognitive Computing opportunities costing us money?

– How do we measure improved Cognitive Computing service perception, and satisfaction?

Fraud detection Critical Criteria:

Conceptualize Fraud detection goals and correct better engagement with Fraud detection results.

– What are your results for key measures or indicators of the accomplishment of your Cognitive Computing strategy and action plans, including building and strengthening core competencies?

– What is the total cost related to deploying Cognitive Computing, including any consulting or professional services?

– What are the Key enablers to make this Cognitive Computing move?

Human brain Critical Criteria:

Shape Human brain goals and prioritize challenges of Human brain.

– Does Cognitive Computing include applications and information with regulatory compliance significance (or other contractual conditions that must be formally complied with) in a new or unique manner for which no approved security requirements, templates or design models exist?

– Marketing budgets are tighter, consumers are more skeptical, and social media has changed forever the way we talk about Cognitive Computing. How do we gain traction?

– What tools do you use once you have decided on a Cognitive Computing strategy and more importantly how do you choose?

Human–computer interaction Critical Criteria:

Focus on Human–computer interaction leadership and budget the knowledge transfer for any interested in Human–computer interaction.

– How do you determine the key elements that affect Cognitive Computing workforce satisfaction? how are these elements determined for different workforce groups and segments?

– How can we incorporate support to ensure safe and effective use of Cognitive Computing into the services that we provide?

Machine learning Critical Criteria:

Interpolate Machine learning results and describe which business rules are needed as Machine learning interface.

– What are the long-term implications of other disruptive technologies (e.g., machine learning, robotics, data analytics) converging with blockchain development?

– What other jobs or tasks affect the performance of the steps in the Cognitive Computing process?

– What are all of our Cognitive Computing domains and what do they do?

– Do Cognitive Computing rules make a reasonable demand on a users capabilities?

Risk assessment Critical Criteria:

Use past Risk assessment goals and stake your claim.

– Do we have a a cyber Risk Management tool for all levels of an organization in assessing risk and show how Cybersecurity factors into risk assessments?

– Are interdependent service providers (for example, fuel suppliers, telecommunications providers, meter data processors) included in risk assessments?

– Is the risk assessment approach defined and suited to the ISMS, identified business information security, legal and regulatory requirements?

– Among the Cognitive Computing product and service cost to be estimated, which is considered hardest to estimate?

– Are standards for risk assessment methodology established, so risk information can be compared across entities?

– Are standards for risk assessment methodology established, so risk information can be compared across entities?

– With Risk Assessments do we measure if Is there an impact to technical performance and to what level?

– What core IT system are you using?  Does it have an ERM or risk assessment module; and if so, have you used it?

– What operating practices represent major roadblocks to success or require careful risk assessment?

– Who performs your companys information and technology risk assessments?

– How often are information and technology risk assessments performed?

– Do you use any homegrown IT system for ERM or risk assessments?

– Are regular risk assessments executed across all entities?

– Do you use any homegrown IT system for ERM or risk assessments?

– Are regular risk assessments executed across all entities?

– What drives the timing of your risk assessments?

– Who performs your companys IT risk assessments?

– Are risk assessments at planned intervals reviewed?

– What triggers a risk assessment?

Sentiment analysis Critical Criteria:

Coach on Sentiment analysis quality and mentor Sentiment analysis customer orientation.

– How representative is twitter sentiment analysis relative to our customer base?

– What are internal and external Cognitive Computing relations?

– What is Effective Cognitive Computing?

Signal processing Critical Criteria:

Disseminate Signal processing failures and describe the risks of Signal processing sustainability.

– How important is Cognitive Computing to the user organizations mission?

– How can skill-level changes improve Cognitive Computing?

Social neuroscience Critical Criteria:

Experiment with Social neuroscience engagements and find answers.

– Can we do Cognitive Computing without complex (expensive) analysis?

– What threat is Cognitive Computing addressing?

Speech recognition Critical Criteria:

Confer re Speech recognition visions and diversify by understanding risks and leveraging Speech recognition.

– Consider your own Cognitive Computing project. what types of organizational problems do you think might be causing or affecting your problem, based on the work done so far?

– Are assumptions made in Cognitive Computing stated explicitly?

Synthetic intelligence Critical Criteria:

Reason over Synthetic intelligence outcomes and adjust implementation of Synthetic intelligence.

– In a project to restructure Cognitive Computing outcomes, which stakeholders would you involve?

Unstructured data Critical Criteria:

Adapt Unstructured data issues and pioneer acquisition of Unstructured data systems.

– What are the key elements of your Cognitive Computing performance improvement system, including your evaluation, organizational learning, and innovation processes?

– Which customers cant participate in our Cognitive Computing domain because they lack skills, wealth, or convenient access to existing solutions?

– What tools do you consider particularly important to handle unstructured data expressed in (a) natural language(s)?

– Does your organization have the right tools to handle unstructured data expressed in (a) natural language(s)?

Unstructured information Critical Criteria:

Consult on Unstructured information engagements and point out improvements in Unstructured information.

– Is the solution going to generate structured, semistructured, unstructured information for its own use or for use by entities either internal or external to the enterprise?

– At what point will vulnerability assessments be performed once Cognitive Computing is put into production (e.g., ongoing Risk Management after implementation)?

– Does our organization need more Cognitive Computing education?


This quick readiness checklist is a selected resource to help you move forward. Learn more about how to achieve comprehensive insights with the Cognitive Computing Self Assessment:


Author: Gerard Blokdijk

CEO at The Art of Service | http://theartofservice.com



Gerard is the CEO at The Art of Service. He has been providing information technology insights, talks, tools and products to organizations in a wide range of industries for over 25 years. Gerard is a widely recognized and respected information expert. Gerard founded The Art of Service consulting business in 2000. Gerard has authored numerous published books to date.

External links:

To address the criteria in this checklist, these selected resources are provided for sources of further research and information:

Cognitive Computing External links:

“Cognitive Computing” by Haluk Demirkan, Seth Earley et al.

What is cognitive computing? – Definition from WhatIs.com

Cognitive Computing Consortium

Adaptive system External links:

Complex Adaptive System Composition and Design …


Adaptive user interface External links:

What is Adaptive User Interface | IGI Global



Affective computing External links:

MIT Media Lab: Affective Computing Group

Affective Computing Flashcards | Quizlet

Overview ‹ Affective Computing — MIT Media Lab

Artificial neural network External links:

Artificial neural network – ScienceDaily

Cognitive computer External links:

IBM’s Watson cognitive computer has whipped up a cookbook

Cognitive reasoning External links:

Cognitive Reasoning – Parrot Software

Cognitive Reasoning – xiangguo.store

Cognitive Reasoning – buffetti.store

Computer vision External links:

Photogrammetric Computer Vision

Sighthound – Industry Leading Computer Vision

Computing platform External links:

Microsoft Azure Cloud Computing Platform & Services

Nutanix Xtreme Computing Platform NX-8235-G5 – CDW.com
http://www.cdw.com › … › Storage Networking/SAN Software

Context awareness External links:

Context awareness in health care: a review.

Data analysis External links:

Data Analysis in Excel – EASY Excel Tutorial

Research and Data Analysis | DSHS

Regional Data Warehouse/Data Analysis Site

Dialog system External links:

DIALOG SYSTEM – Otlc – Free Patents Online

Dialog systems | ACL Member Portal – aclweb.org

Enterprise cognitive system External links:

Enterprise cognitive system – Revolvy
https://www.revolvy.com/topic/Enterprise cognitive system

Face detection External links:

Face Detection using OpenCV and Python: A Beginner’s …

Fraud detection External links:

Title IV fraud detection – | University Business Magazine

Big Data Fraud Detection | DataVisor

Human brain External links:

10 Fun Facts About the Human Brain – Take the Quiz!

Anatomy of the Human Brain – Mayfield Clinic

5 Stages of Human Brain Development | Nancy Guberti, …

Machine learning External links:

Microsoft Azure Machine Learning Studio

DataRobot – Automated Machine Learning for Predictive …

Google Cloud Machine Learning at Scale | Google Cloud …

Risk assessment External links:

Risk Assessment Tools | Florida Department of Juvenile …


Healthy Life HRA | Health Risk Assessment

Sentiment analysis External links:

YUKKA Lab – Sentiment Analysis

dictionary – Sentiment Analysis Dictionaries – Stack Overflow

Signal processing External links:

Embedded Signal Processing Laboratory

Social neuroscience External links:

UCLA Social Neuroscience Lab

Social Neuroscience – Michigan State University

Summer School in Social Neuroscience & Neuroeconomics

Speech recognition External links:

TalkTyper – Speech Recognition in a Browser

Speech API – Speech Recognition | Google Cloud Platform

Use speech recognition

Synthetic intelligence External links:

Synthetic Intelligence Network · GitHub

Synthetic Intelligence Network – Home | Facebook

Unstructured information External links:

MedEx-Unstructured Information Management …