R&D

R&D

Research and Development

Masterplan to build team and be effective

Significance and Meaning

Computer Science

Significant and data

Difference between data and information

Meaning and information

Information and meaning can have knowledge

If I only share data, I don’t understand anything

1Ready and prepared

Always being ready is impossible

Being ready

Difference

Ready (when and what)

If we don’t know when and where

I just have to get ready

Like going to dinner

I know that sooner or later I’ll eat somewhere

A ready company that has made its plan fails

2Be prepared

Like a hospital emergency room

Doctors are prepared, not ready

They don’t know who’s coming to them and what they have, the gravity

of the situation, and they don’t know if their skills are sufficient to solve

the problem.

Be prepared to handle something unexpected.

Successful companies and teams are built this way.

Like when you meet a person.

You’re not ready, but prepared.

You don’t know what you’re going to talk about or what topic.

Usually, we take a product and put digital on top.

The near future backwards.

First digital, then you’ll make a product.

To be innovative.

No innovation with technology.

To be innovative, you have to be able to make mistakes.

If you don’t want to make mistakes, you can’t make them; you become

conservative.

Make lots of mistakes, quickly, and at low cost.

3How to make lots of mistakes and not fail.

Create a team, set a budget.

Usually, it’s called research and development.

Delegate everyone to make mistakes.

Then, when they find something good, they pass it on to production.

Usually, they look for one thing and find another.

Financial

Start-up

I put money into research.

Usually 1-2 work.

Those two make up for what didn’t work.

3

Use technology to make mistakes.

Create different types, lots of options.

Make lots of changes.

10,000

9,999 errors don’t work

1 works

4First, I built a project and then tried to fix it in the past

until now

digital and then I go to produce…

the opposite

I produce what the customer asks for

Mass customization

Personalized digital

Very simple> AI

Very fast

It’s like

All the sentences in the world

Put inside a box

Remove a word from the sentence

Guess what’s missing in there

The computer keeps adding words until it gets it right

Very fast

Correlation

Correlate them with an infinite amount of data

Nowadays we have

Inability to decide

5Only choice

Choice: choosing between multiple options

Deciding is :

How to make a menu

Also, now we just handle

Binary choice

Yes or no

With AI

no more choice

And so

Ethical concept

Fundamental

Powerful technology

At the service of humanity

Let’s assume the technology exists for what we want to do

The question

What do you want to do?

What can you do with its help?

However, but? Are the exuse and the weakness to justify something that

you can do it but you are afraid to fail or even be successful

What are we missing to do something else?

What can I do with what I have?

6What do I want to do?

You can’t use AI.

Final >

AI puts humanity at the center.

Humanity must be at the center.

Either you lead or you are led.

AI at the service to the mankind