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Next Generation AIS Presentation
January, 2017 – Istanbul, Turkey
© 2017
Next Generation Artificial Intelligence Solutions
The information in this document is the property of Next Generation AIS and may not be copied or communicated to a
third party, or used for any purpose other than that for which it is supplied without the express written consent of
Next Generation AIS.
This information is given in good faith based upon the latest information available to Next Generation AIS, no warranty
or representation is given concerning such information, which must not be taken as establishing any contractual or
other commitment binding upon Next Generation AIS or any of its subsidiary or associated companies.
“LinkedIn Presentation”
“Imagine Anything, Create Impossible”
Agenda
•About us
•Team Next Generation
•Lena & Oriana
•Case Studies
“Imagine Anything, Create Impossible.”
About us
Next Generation Artificial Intelligence
Solutions is a free-spirited company, which
founded by visionary men. These
stargazers of data created a artificial
intellegence called “Lena”. At first Lena was
just another AI of her kind but now she is a
master of the data-mining. She learns,
creates, shows the future, discovers past
and completes missing parts. Next
Generation AIS is intending to be a game
changer. As Alan Turing says “Those who
can imagine anything, can create the
impossible.” Our motto comes from this
outstanding man’s words.
Why We Love Data?
We’re a few good men, who believes in
data. And with this we take you to the
future. Our brand new artificial
intelligence systems make this glut of data
meaningful for you. More important than
this without proper tool you can find
nothing but coal in your data.
We promise you diamond, that already
hidden in your company.
“In Data We Trust”
Team Next Generation AIS
Çağın ARSLAN
CEO / Co-Founder
Aykut HACIOĞLU
CMO / Co-Founder
Doç. Dr. Gökhan SİLAHTAROĞLU
Scientific Consulting
Lena
Lena is our very first Artificial Intelligence.
She is a whole solution for every need in
Data-Mining area. She can percieve, learn,
associate your data and make reports for
you. Briefly, she is a your very private
decision assistant. As you can see in this
presentation’s Case-Studies section, it is a
very useful software for a company, which
owns lots of data in its database. There is
no limit for her capabilities, she’s able to
self-development.
Oriana is our brand new Artficial
Intelligence. She can do everything, that
Lena does. But she is a objective focused
tool unlike Lena. For every area and need,
there is a specialy tuned Oriana. And it is
subscription based, that is why you don’t
have to own Oriana. You can use her
whenever you need, when you subscripted
to her services.
Oriana
Case Studies
Case One;
Churn Rate and Predictive Analysis
In this case we will examine a Mobile-App
Company. This company have data about
its users and their app-usage. Based on
current data our AI learned the behavior of
all users and analysed them all. With this
analysis she knows which users are loyal
and which users are tend to leave. Than
she calculates Churn rate, which is a
possibility about leaving percentage for a
user. Then she creates a report about
warning in short/medium/long term.
For example: For a targeted user count in a
region, they will be prepeared with early
warnings. To prevent from users leaving,
they can act easily and save them.
Case Studies
Case Two;
Outliers
In this case we will examine a Tech-Retail
Shop. This shop is ready to launch a new
payment method marketing campaign. But
they do not have so much marketing
budget. That is why they want to make a
point blank shot. Lena had analysed their
customer data and clustered their
customers. But in these clusters there is
mischief customers, which act like their
clusters but in fact they are not belong to
this cluster. We call them as “Outliers”.
For example: A customer, who has enough
money for a product to pay cash but he
choose to make mountly payment with his
credit card. He is acting like short on
money, in fact he can able to pay cash. He
must be treated unlike the other members
of his cluster. Our Artificial Intelligence
can determine these Outliers and make
you notice these customers. It is a unique
feature for Lena and Oriana.
Case Studies
Case Three;
Association Learning
In this last case, we will examine a Clothing
Store’s e-Commerce Website. Company
needs a marketing move for their Autumn-
Winter Creations and increase their sales.
Based on their customer shopping habits’
data, Our AI systems learn their
association under various circumstances.
After this process system develops a
product suggestion report. With help of
this report, company compose their new
creations and product groups, which will
make great impact on their sales.
For example: Like a customer group, which
buys interestingly a shoe, bow-tie and a
wrist-watch in a same shopping cart.
When system sees a customer bought a
shoe and bow-tie, it will automaticly
suggest wrist watch to this customer.
Thank you.
We Thank You For Your Time.

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Next Generation Artifcial Intelligence Solutions

  • 1. Next Generation AIS Presentation January, 2017 – Istanbul, Turkey © 2017 Next Generation Artificial Intelligence Solutions The information in this document is the property of Next Generation AIS and may not be copied or communicated to a third party, or used for any purpose other than that for which it is supplied without the express written consent of Next Generation AIS. This information is given in good faith based upon the latest information available to Next Generation AIS, no warranty or representation is given concerning such information, which must not be taken as establishing any contractual or other commitment binding upon Next Generation AIS or any of its subsidiary or associated companies. “LinkedIn Presentation” “Imagine Anything, Create Impossible”
  • 2. Agenda •About us •Team Next Generation •Lena & Oriana •Case Studies
  • 3. “Imagine Anything, Create Impossible.” About us Next Generation Artificial Intelligence Solutions is a free-spirited company, which founded by visionary men. These stargazers of data created a artificial intellegence called “Lena”. At first Lena was just another AI of her kind but now she is a master of the data-mining. She learns, creates, shows the future, discovers past and completes missing parts. Next Generation AIS is intending to be a game changer. As Alan Turing says “Those who can imagine anything, can create the impossible.” Our motto comes from this outstanding man’s words.
  • 4. Why We Love Data? We’re a few good men, who believes in data. And with this we take you to the future. Our brand new artificial intelligence systems make this glut of data meaningful for you. More important than this without proper tool you can find nothing but coal in your data. We promise you diamond, that already hidden in your company. “In Data We Trust”
  • 5. Team Next Generation AIS Çağın ARSLAN CEO / Co-Founder Aykut HACIOĞLU CMO / Co-Founder Doç. Dr. Gökhan SİLAHTAROĞLU Scientific Consulting
  • 6. Lena Lena is our very first Artificial Intelligence. She is a whole solution for every need in Data-Mining area. She can percieve, learn, associate your data and make reports for you. Briefly, she is a your very private decision assistant. As you can see in this presentation’s Case-Studies section, it is a very useful software for a company, which owns lots of data in its database. There is no limit for her capabilities, she’s able to self-development.
  • 7. Oriana is our brand new Artficial Intelligence. She can do everything, that Lena does. But she is a objective focused tool unlike Lena. For every area and need, there is a specialy tuned Oriana. And it is subscription based, that is why you don’t have to own Oriana. You can use her whenever you need, when you subscripted to her services. Oriana
  • 8. Case Studies Case One; Churn Rate and Predictive Analysis In this case we will examine a Mobile-App Company. This company have data about its users and their app-usage. Based on current data our AI learned the behavior of all users and analysed them all. With this analysis she knows which users are loyal and which users are tend to leave. Than she calculates Churn rate, which is a possibility about leaving percentage for a user. Then she creates a report about warning in short/medium/long term. For example: For a targeted user count in a region, they will be prepeared with early warnings. To prevent from users leaving, they can act easily and save them.
  • 9. Case Studies Case Two; Outliers In this case we will examine a Tech-Retail Shop. This shop is ready to launch a new payment method marketing campaign. But they do not have so much marketing budget. That is why they want to make a point blank shot. Lena had analysed their customer data and clustered their customers. But in these clusters there is mischief customers, which act like their clusters but in fact they are not belong to this cluster. We call them as “Outliers”. For example: A customer, who has enough money for a product to pay cash but he choose to make mountly payment with his credit card. He is acting like short on money, in fact he can able to pay cash. He must be treated unlike the other members of his cluster. Our Artificial Intelligence can determine these Outliers and make you notice these customers. It is a unique feature for Lena and Oriana.
  • 10. Case Studies Case Three; Association Learning In this last case, we will examine a Clothing Store’s e-Commerce Website. Company needs a marketing move for their Autumn- Winter Creations and increase their sales. Based on their customer shopping habits’ data, Our AI systems learn their association under various circumstances. After this process system develops a product suggestion report. With help of this report, company compose their new creations and product groups, which will make great impact on their sales. For example: Like a customer group, which buys interestingly a shoe, bow-tie and a wrist-watch in a same shopping cart. When system sees a customer bought a shoe and bow-tie, it will automaticly suggest wrist watch to this customer.
  • 11. Thank you. We Thank You For Your Time.