2 DAYS CONFERENCE + 1 DAY WORKSHOP
Attendees
+
Case Studies
+
Companies
+
speakers
+

Some Of Our Keynote Speakers

“get inspired from the world’s leading experts”

Gianfilippo-Pandolfini

Gianfilippo PANDOLFINI

Chief Operating Officer

Paolo CHIAVERINI

Executive Vice President Head of Group Banking Operations

Veronika VASILYEVA

Veronika VASILYEVA

Chief Operations Officer, Global Markets

Olivier Blanc
Olivier BLANC

Chief Operating Officer

Untitled-design-1-1

Zsofia KOVACS

Transformation Manager - Data Quality Management

Ossi-Leikola

Ossi LEIKOLA

Executive Vice President, Head Of Operations

Untitled design
Alper SAYIN

Director - Cash Planning & Operations

Some of Their Case Studies

Case Study

Day 1

​​Gianfilippo PANDOLFINI

Chief Operating Officer

Back Office Operations and the Impact on Customer Experience

  • The challenge of balancing resources utilization vs customer Excellence
  • Automation Journey in Back Office Operations
  • How to measure the impact of back office operations on the customer experience
  • Case study examples of delivering efficiency whilst enhancing the customer experience

Case Study

Day 1

​​Zsofia KOVACS

Transformation Manager – Data Quality Management​

Transform company management data operations

  • Company management: what does it mean?
  • Do we have an end-to-end view of our data?
  • Transformation opportunities
  • Performance management of data operations

Case Study

Day 1

Alper SAYIN

Director – Cash Planning & Operations

Cash Balance Optimization Using AI and Big Data

In-house built cash forecasting tool for branches of the Garanti BBVA will be presented.  Both technical and strategic aspects of using AI tools/algorithms and big data will be discussed. Additionally, pros and cons of building in-house model vs outsourcing a tool, lessons learned while using big data, POV/POC results achieved through the project and major key take-aways that can help other organizations will be shared.

  • Brief information about Garanti BBVA and Cash Operations
  • Need for Optimization & Need for Big Data and AI Algorithms
  • In-house or Outsourcing?
  • Variables & Algotihms Used
  • Model Results, Screens and Reports
  • Lessons Learned
  • What is Next?

WHAT SOME OF OUR ATTENDEES HAVE TO SAY​