Building a smarter
organization with Analytics & AI

A powerful foundation for AI success

InterContinental Hotel, Istanbul  February 20th


Checkout the Roadshow coming to a city near you!

Artificial Intelligence (AI) has become mainstream and is fueling more and more aspects of businesses and day-to-day life.

Beyond the hype, the question is how data-driven innovation can be brought to life and put in action to resolve real business problems. What steps are needed to move AI out of the lab and into business operations to realize the desired outcomes?

The challenge resides in complex IT landscapes, departmental siloes, and the ability to deploy analytics where needed.

An analytics platform supports and accelerates the entire Analytics Lifecycle from Data to Discovery and Deployment. To succeed with AI, organizations must be able to orchestrate and govern their analytics ecosystem through the entire Analytics Lifecycle.

Come learn how to enable Business, IT and data scientist to collaborate in transforming data into actionable insight and business value, with the right balance between choice and control.

Successful execution of an analytics, and thereby AI strategy, needs the right balance of choice and control.


Creativity and innovation flourish in open spaces. You need flexibility and freedom to attract the best analytical talent, use a wide variety of techniques and develop processes that work best. You need the flexibility to use multiple programming languages and analyze any data in any environment and to keep up with accelerating demands.


Analytics chaos can creep up. Once you lose control of your data, you lose trust in the system and its outputs. Transparency, governance and security become essential for maintaining trust in models and analytical results. Becoming even more critical as you scale development, monitoring and refinement of analytics applications and their associated processes.

At the intersection of data, software, and ingenuity, the future is being redefined. After all, when curiosity meets capability, progress is inevitable.


08:30 – 09:15

Registration & Breakfast

09:15 – 09:25


  • Tayfun Topkoç, General Manager, SAS Turkey & Central Asia
09:25 – 10:25

The Quantum Economy – What comes after Digital?

  • Anders Indset, Business Philosopher
10:25 – 10:45

Coffee Break

10:45 – 11:20

Future is Now

  • Cengiz Arslan, CIO, Yapı Kredi Bank
11:20 – 12:00
  • Rasim Eğri, Head of Business Solutions, SAS Turkey & Central Asia
  • Tuba İslam, Principal Data Scientist, SAS
12:00 – 13:00

What is Around the Corner? | The Next Game Changer

  • Güliz Öztürk, Chief Commercial Officer, Pegasus Airlines
  • Serkan Öztürk, Executive Vice President, Customer Experience and Information Technologies, Turkcell
  • Ziya Erdem, CEO, Enerjisa
  • Hakan Pekiner, Director, Financial Services, Price Waterhouse Coopers

Moderator: Murat Yıldız, Manager of IT Publications, Dünya Group

13:00 – 13:50



Analytics In Action

For all professionals who are interested in hearing from SAS experts, customers and partners on real-life analytics use cases.


AI & ML at Work

For data scientists, data coders and practitioners.

13:50 - 14:20

Trend Topics: Text Mining and Network Discoveries

  • İmran Bozacı, Business Solutions Manager, SAS
14:20 - 14:40

Voice of Customer

  • Loukas Petrounias, Director of Marketing, Customer Experience & Loyalty, Piraeus Bank Group
14:40 - 15:00

Fraud Analytics with SAS VA, Kredi Kayıt Bürosu

  • Dide Sevil Çatakoğlu, Data Analysis Vice President
15:00 - 15:30

Customer Offer Optimization

  • Jiri Nosal, CEO, Assisto Consulting Ltd.
15:30 - 15:40

Coffee Break

15:40 - 16:00

Customer Intelligence Agency (CIA)

  • Özlem Odar, Director – Analytical Insurance, Eureko Sigorta
16:00 - 16:20

The Art of Using AI in Omni Channel Customer Journey

  • Deniz Pazarcıoğlu, Senior Business Solutions Manager, SAS
13:50 - 14:10

Trust: The Single Currency for Ethical and Productive AI

  •  Olivier Penel, Advisory Business Solutions Manager, Global Technology Practice, SAS
14:10 - 14:20

Artificial Intelligence And Data Protection

  • Av. Özlem Baysal Sezgin, Founder, Baysal Sezgin Law Office
14:20 - 15:00

Modern Analytics Platform, SAS

  • Biagio Grasso, Analytics Practice Lead, SAS South EMEA.
15:00 - 15:40AI based Audience Monetization
  • Ismail Parsa, Chief Data Scientist, HepsiBurada
15:40 - 15:50

Coffee Break

15:50 - 16:20Value and Potential of Deep Learning in Marketing
  • Serhat Keçici, Expert Data Scientist, Turkcell
16:20- 16:40

Computer Vision and Deep Learning

  • Aleksander Pivk, Analytics Practice Leader for Central Europe and Adriatic, SAS

( * ) Speaker’s attendance to be confirmed

Upcoming training courses

SAS provides a wide range of training courses which are developed and taught by certified SAS instructors. Below you can see the upcoming ones and send us a request to attend.

Business Knowledge Series

Credit Risk Modeling

1-3 April 2019

Business Knowledge Series

Advanced Analytics in a Big Data World

4-5 April 2019

Business Knowledge Series

Fraud Analytics using Descriptive, Predictive and Social Network Learning

4-5 April 2019

For registration requests please send an e-mail to Özge Nakkaş:

InterContinental Hotel
Asker Ocağı Cad. No:1 Taksim 34435
Istanbul, Turkey

Register now for this event

Why attend?

Learn what is needed to orchestrate the new age of analytics – from data wrangling – through to tangible business results. During the session you will take away how to:

  • Orchestrate an innovation-first and expanding analytics ecosystem
  • Promote collaboration of your talents across business, IT and technical roles
  • Scale and automate repeatable processes to keep pace with changing demands through your Analytics Lifecycle
  • Maintain the right balance between choice and control
  • Scale AI projects to enterprise wide availability leveraging cloud technology and considering compliance and ethics.
  • Interpretability, trust and governance of data regardless the source

This event is no longer available for registration.

 Analytics in Action
 AI & ML @ Work

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