AI has the potential to be a platform, service, or software. AI has two dimensions that it can be seen in: Horizontal or Vertical. The standards of being a good AI product must encompass autonomy, communication using natural language, and natural responses to the user. Dennis Mortensen, Founder X.ai

1. x.ai makes an AI personal assistant
who schedules meetings for you
AI WITH THE BEST SEPTEMBER 2016
Magically
Schedule Meetings
@dennismortensen
@xdotai

3. It’s worth looking at which segments these players
occupy. I see three key segments.
1. AI Platform
Intelligent platforms have a set of existing features that you use to build bots (applications).
Examples: Facebook’s Messenger, Microsoft’s Bot Platform, Amazon Echo
2. AI as a Service
These allow developers to build models and generate predictions in the cloud, without
having to engineer and/or maintain the supporting infrastructure.
Examples: Amazon Web Services, Microsoft’s Azure and Google’s Cloud offerings
3. AI Software
Proprietary software and/or open source tools that will help you with the learning aspect of
building an AI.
Examples: TensorFlow from Google, Spark’s MLlib

4. Vertical AI
Horizontal AI
Alexa Siri Cortana

5. What makes a good AI product?
1. Truly autonomous
The best AI products make the user more capable. And the very best AI
completes a task start to finish for the user-- the user should have to do as little
work as possible to make it happen.
2. Allows users to communicate using natural language
It’s just as important that these AI agents or virtual assistants allow users to
communicate using natural language. Having to modify speech or text into some
sort of machine syntax is cumbersome, and requires the user to do work. The
whole point is to seamlessly hand over a task.
3. Has a natural response to the user
On the other end of the interaction, it’s important for the AI’s responses to seem
as natural as possible. This is where the role of the AI Interaction Designer came
in at x.ai.

7. Dennis, Alex, Matt and
friends gather to try to
understand the
meeting-scheduling
universe
x.ai is incorporated
Seed round ($2.1M)
closed
First hire and first beta
users admitted
Series A raised ($9.1M).
Use funds to build up data
science and engineering
teams
Andrew is born Series B financing
raised ($23M)
Amy gets asked out
on a date
Have more or less defined
the meeting scheduling
universe.
Hiring data scientists,
engineers and business
leads at a rapid rate.
The first chapter of Amy’s life.
OCT 2013 MAY 2014 JAN 2015 DEC 2015 TODAY
APR 2014 JUN 2014 MAR 2015 APR 2016

8. dennis @ human.x.ai
ceo and founder
25 Broadway, 9th Floor
New York, 10004 NY
@xdotai
@dennismortensen