designing appropriate cognitive infrastructurefiles.meetup.com/13696062/clects.pdfwelcome i/t...

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Welcome I/T Experts

We run 12 Meetups on Cognitive Computing in the USA,

with over 700 members. Many questions arise.

A few months ago we decided to place all of the AI,

Machine Learning, Big Data, and Cognitive Computing

(AMBC) questions into a single framework.

This presentation is a result of that collective intelligence.

We came to realize that each company, large or small, is

faced with the same question. What is the right cognitive

infrastructure, today and into the future, for your firm?

This is our attempt to answer that question. Upon review,

please add your insights, if you would. Thank you.

Designing

Appropriate

Cognitive

Infrastructure ~~~

Thursday, July 31

6:30PM to 8PM ET

Call: 605-475-5950

Code: 7043327#

Remote Page Login:

www.cognitiveinfrastructure.com

http://www.cognitivecomputingexperts.com/

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Systematic Cognitive Computing

As an IT person you serve many people in many ways.

As of today, all will ask you to build more cognition, more

smartness, into their application systems.

If you try to resolve these requests piecemeal, one at a

time, the demand will overwhelm both time and budget.

So (like all other IT systems) setup reusable architecture.

We teach you how to do that most economically. It also

must be most secure.

You might learn from our successes and mistakes.

Designing

Appropriate

Cognitive

Infrastructure ~~~

What is Cognitive

Infrastructure?

It’s a way to solve the “getting

smarter” question once and to

become more IT systematic.

A Contextual Chunk of Intellect...

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Dikw: Data, Information, Knowledge, Wisdom

Dikw is another word for intellect. It is the IT stuff, the in-

formational stuff that people need to do their job properly.

Each situation is a context. That context has need for

intellectual content. This contextual/content, place in a

mediated package and disseminated in real-time, is Dikw.

It is the data, information, knowledge, and wisdom; wanted

and needed by that person, at that time.

It’s called a Clect. It is a chunk of intentional intelligence.

Note: Prospects, customers, workers, stockholders, etc.

are all people to which we might want to serve Dikw.

Designing

Appropriate

Cognitive

Infrastructure ~~~

The right stuff...

If you can easily deliver the

right Dikw, to the right people,

at the right time, and in the

best format; then you have the

best Cognitive Infrastructure.

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Well name your CC infrastructure.

“Nomen est numen” means to name is to know. If you

cannot properly name this part of the IT infrastructure,

then you do not know what it is, who you serve, and why.

For example, our Cognitive Infrastructure (CI is part of

Cognitive Computing) architecture and design service is

named Clects™. We design systems that identify and

manage the chunks-of-intellect needed to improve results.

If our infrastructure can deliver the right intellect, to the

right person, in the proper way, and at the right time; then

our users are happy. We have earned our keep.

Rule 1: Proper naming is an important cognitive function.

Designing

Appropriate

Cognitive

Infrastructure ~~~

Let’s start top-down...

There are a few rules to know

about and to generally follow.

They may seem simple, but

these rules are so important

that they are useful to repeat.

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Understand Affective Systems.

I am an individual. I have a set of things on my mind. If

you serve my needs, I’ll buy now and come back for more.

Your systems can now be designed to directly affect me.

Affective Systems...

1. Understand and adapt to individual mindsets.

2. Are designed to serve, to motivate.

3. Are not generally IT efficient (CPUs, disk storage, and

networks are cheap – customers are most valuable).

4. Start with their mindset, in our design.

Note: Affect means to influence.

Rule 2: Affective Systems are designed to influence.

Designing

Appropriate

Cognitive

Infrastructure ~~~

Stop pushing me ...

Efficient computer systems

create information overload.

Affective computer systems

adapt to present what I now

want, in the form that I want it.

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Adapt to their mindset..

Big Data analyses object behavior, given a specific situation.

Cognitive Computing (CC) applies that insight by judging

future situations and acting on this intelligence.

They’re two sides of the same coin; a smart feedback loop.

Systematically reading Mindsets by group category:

1. Offer something, some mediation, like a web page.

2. Identify and categorize people that take-up that page.

3. Measure their next step. Space-date that event.

4. Analyzing this behavior will read their mind.

Let me say it again, affect means to influence.

Rule 3: Think carefully about their thoughts, in groups.

Designing

Appropriate

Cognitive

Infrastructure ~~~

Think about me ...

• What do I want?

• How do you know?

Now that you know, what will

you do with that mind insight?

Did doing it maximize return?

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Both an Analytic and Synthetic Infrastructure.

A Cognitive Infrastructure (CI) is setup to analyze and then

synthesize, using the intentional feedback analysis loop.

There are two infrastructures (AS) linked together. To get

smarter the CI process adapts; it has movable parts.

The first side of CI is used to analysis. Here we

analyze past data, to find natural correlations. This

insight guides future resource allocation deployments.

The second side of CI applies what we have learned.

This application is ALWAYS a mediation change.

You have an intent to influence a particular audience.

That intent sets the optimization objective. Now analyze

and re-mediate. Learn the combination that works best.

Rule 4: Understand both sides and how they are linked.

Designing

Appropriate

Cognitive

Infrastructure ~~~

Analytic & Synthetic...

The big, medium, and small

data analysis of what works.

Then take that insight and re-

mediate the audience services.

Blend automated and manual.

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Data

Science Data is

Analyzed

Cognitive

Science Mediation is

Synthesized

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Manual Mediation (link to automation) >>

Automated

Mediation << (link to manual)

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Manual and Automated Cognitive Media, in Alignment.

A Cognitive Infrastructure is designed

to learn and deploy affective mediation.

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Analytic/Synthetic/Feedback difficulties.

A Cognitive Infrastructure (CI) is hard to setup and get it

right. Why is this? Here are a few of reasons.

1. Modeling the human mind is complex.

2. There are many moving pieces (cogs).

3. Fact change each and every day; you must keep up.

4. It is an analytic/synthetic/smartness/feedback engine.

5. The data must fit the mathematical algorithm and both

must fit the questions to be answered.

6. Few people now have the needed, eclectic skill-set.

7. The team must work. Nobody can do it all.

Rule 5: Respect the CI design and setup difficulty.

Designing

Appropriate

Cognitive

Infrastructure ~~~

It is not easy...

Appropriate CI design and

development is not trivial.

In fact, it’s the most difficult &

complicated IT system ever.

So plan it carefully and adapt.

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Five conceptual rules, to consider:

1. Proper naming is important.

2. CI supports the “Affect Systems.”

3. Think about their thoughts.

4. Link the Analytic to Synthetic.

5. Respect the difficulty.

Now let’s get on with the actual technology.

Designing

Appropriate

Cognitive

Infrastructure ~~~

In sum...

▪ Understand concepts.

▪ Understand technology.

▪ Get reusable infrastructure.

Now we are ready to go onto

the CI technology options.

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Vendor Size

CI.. Cognitive

Infrastructure ~~~

CI Technology ...

▪ Multiprocessing OS

▪ LAN/WAN/Cloud servers

▪ Client and Server Security

▪ Real vs. Batch Time

▪ Datum Sources (1-4 tuple)

▪ Data to Intellect Formulas

▪ Intellect Warehouse

▪ Dynamic Mediation (affect)

Best technology

strategy for us?

Should be consistent with existing systems.

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Vendor Size

CI.. Cognitive

Infrastructure ~~~

Multiprocessing Systems

What is the best

parallel processing

technology for us?

The human mind has ~100 billion neurons,

each with ~1,000 bouton connection points.

Each bouton is a computer, with a clock.

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Vendor Size

CI.. Cognitive

Infrastructure ~~~

Linux/Hadoop Multi-process

Linux is a popular Open

Source operating system,

used as a LAN/Web server.

Hadoop is a 64k sector, multiprocessing

system, now popular with many vendors.

etc.

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Vendor Size

CI.. Cognitive

Infrastructure ~~~

LAN & WAN CI servers

Linux Hadoop Cloud

Hadoop will probably be your CI server

Operating System. Make it consistent

between the LAN, WAN, and Cloud servers.

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Vendor Size

CI.. Cognitive

Infrastructure

Channel vs Network Speeds

Cognitive Analytics processes TBs of

data (a TB is a million MBs). Be

aware of disk channel and network

speed differences .. need the speed.

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Vendor Size

CI.. Cognitive

Infrastructure ~~~

Client and Server Security

Don’t Lose Your

CIO/CISO/IT Job Over

an All-Too-Common

Security Breach!

1. Insider and Outsiders

2. Authentication

3. Device Security

4. Data Security

5. Network Security

6. Application Security

7. Operations Security

8. File Encryption

9. Multi-mode Security

10. Security Admin & Review

Nothing is completely secure. Therefore use

multiple, overlapping security methods that

are audited in real-time. This will minimize

the insecurity losses and financial risks. Who is responsible for purchased-software security reviews?

WAN

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Vendor Size

CI.. Cognitive

Infrastructure ~~~

Real vs. Batch Time

Same process,

Different speeds...

An ETL generated Intellect Warehouse

(IW) will speed up real-time calculations.

Intelligence is generated and

distributed in time to affect

human/machine performance.

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Vendor Size

CI.. Cognitive

Infrastructure ~~~

Data Sources (1-4 tuple)

What is the tuple

structure of the data

now being used?

A tuple is intrinsic, a consistent element internal

to the datum structure. A field is external to the

structure (it’s data). Both have attributions.

The formula changes by tuple?

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Vendor Size

CI.. Cognitive

Infrastructure ~~~

Data to Intellect Formulas

Equating the Data... (formulating affect, cause and effect)

The formula, with its various relation structures,

must fit the data. You can say a set-of-observations

causes, mathematically time-models, real events. How things natural evolve, the fitness?

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Vendor Size

CI.. Cognitive

Infrastructure ~~~

▪ Hadoop Multiprocessing OS








Best technology

strategy for us?

Should be consistent with existing systems.

Set a flexible CI technology strategy and then

select a first CC application. As you get more

CC application insight, evolve CI tech strategy.

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Vendor Size

CI.. Cognitive

Infrastructure ~~~









Share your CI

technology strategy

with the group.

[email protected]

Send me an email...

Start by generally describing existing systems.

Then detail the Big Data & Cognitive Computing

(CC) technology selections you would make.

Then tell us why?

I’ll share results (anonymous) with the groups:

www.Meetup.com/Cognitive-Computing-Experts

www.Meetup.com/bostonazure

What CI technology do

you prefer and why?

mailto:[email protected]

http://www.meetup.com/Cognitive-Computing-Experts





http://www.meetup.com/bostonazure

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Vendor Size

The Cognitive Infrastructure

is Analytic and Synthetic.

~~~









I’ll publish your CI thoughts.

[email protected]

CI in sum...

Let’s get smarter together. Five conceptual rules, to consider:

1. Proper naming is important.

2. CI supports the “Affect Systems.”

3. Think about their thoughts.

4. Link the Analytic to Synthetic.

5. Respect the difficulty.

mailto:[email protected]

designing appropriate cognitive infrastructurefiles.meetup.com/13696062/clects.pdfwelcome i/t...

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