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2ND ANNUAL RETAIL BANKING TECHNOLOGIES MENA SUMMIT

27 - 28 November 2018 - Dubai
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PAST SPEAKERS

SEE THE PREVIOUS SPEAKERS & CASE STUDIES

Subroto
SOM

EVP, Head of Retail Banking Group

Sonam
SAHAI

Director, Operations & Transformation

Linda
ELTANY

Head of Operational Risk

P S
SURESH

Head of IT Architecture & Strategy

Arijit
DAS

VP, Customer Marketing and Analytics

Hemang
MEHTA

VP, Retail Banking Strategy

CONFERENCE TOPICS 2018

LOOK AT THE TOPICS THAT WERE DISCUSSED

  • Period of Mass Digital Transformation: Retail Banking Rebirth
  • Fintech and Regtech Innovation in MENA region
  • Moving to Cloud Computing: Dream or New Reality for Banking Industry?
  • Distributed Ledger Technology. Blockchain Adoption in Banking Industry
  • Risk Management Trends and Cyber Security Threats as an Impact of Digitalization
  • Usage of Artificial Intelligence (AI) and Machine Learning in Retail Banking: Practical Examples, Benefits and Challenges
  • Digital Payments and Digital Wallets, Future of Cashless Transactions
  • End-to-end Seamless Customer Journey and Importance of Big Data Analytics
  • The Main Challenges Facing Retail Banking Industry in the Era of Digitalization

DESIGNED FOR

Members of board, C-level, Senior Vice Presidents, Vice Presidents, Directors, and Heads of departments from banking industry involved in:

  • Retail Banking
  • Digital Banking
  • Digital Transformation
  • Consumer Banking
  • Private Banking
  • Wealth Management
  • E-Channels
  • FinTech
  • Online Services
  • Customer Experience Management
  • Information Technology
  • Business Innovation
  • Technology and Operations
  • Risk Management
  • Alternative Distribution Channels
  • Internet and Mobile Payment

CASE STUDIES

PAST CASE STUDIES INCLUDE

CASE STUDY / DAY 1

Period of Mass Digital Transformation

Even as disruptions are changing our landscape, we can harness them and transform them to opportunities, not merely to sustain business, but also to grow it. The single most important aspect of this new equation is innovation.

  • The impact of technology: The advantage of digitally savvy systems in launching innovative products and services
  • The role of data: Data analytics, data segmentation and big data systems and applications can change the way we think and act
  • Customer-centricity: Transforming isolated customer interactions to seamless end-to-end customer journeys
  • Organisational restructuring: Agility as a critical component of success
  • Partnerships with fintech: Jointly addressing the challenges of AI, VR, AR, and RPA
  • Tangible benefits: Innovation can reduce costs, delight customers and improve financial performance

Subroto
SOM

EVP, Head of Retail Banking Group

Sonam
SAHAI

Director, Operations & Transformation

CASE STUDY / DAY 1

Benefits of Artificial Intelligence (AI) and Robotic Process Automation (RPA) in Retail Banking

Presentation is highlighting the benefits, delivery framework, road-map, and roles and responsibilities on deploying Robotics Process Automation & Artificial Intelligence across banking domains.

The immediate benefits of RPA & AI are both tangible & intangible

  • Better manage repeatable tasks – Digital workforce
  • Reduce error rates – Risk avoidance
  • Improve standardization of process work flow and consistency – Process Consistency
  • Quality and Accuracy
  • Flexibility and Scalability

CASE STUDY / DAY 2

Enterprise Risk Management and Operational Risk In Artificial Intelligence Initiatives

Artificial intelligence will require effective and efficient ‘Enterprise Risk Management Framework’ that should be effected by entity’s board of directors, management and other personnel to identify potential events that may affect the entity, and manage risk to be within its risk appetite, to provide reasonable assurance regarding the achievement of entity objectives. Enterprise risk management consists of eight interrelated components. These are derived from the way management runs artificial intelligence. There is a direct relationship between objectives, which are what an entity strives to achieve, and enterprise risk management components, which represent what is needed to achieve them.

Artificial Intelligence is subject to five Enterprise Risk Management Framework ‘ERMF’:

  • Executive: Have the right people bought in? Does everyone agree on what needs to be done? Technical: How will you control the robot’s access to your systems and data? How will you test the robots to make sure they function as intended?
  • Change management: Who manages communication? How can you address potential resistance from workers?
  • Operational: What controls exist to monitor performance? How will you stay compliant with relevant regulatory requirements?
  • Functional: Who designs controls? Are there scalability limitations in artificial intelligence and core systems?

Linda
ELTANY

Head of Operational Risk

P S
SURESH

Head of IT Architecture & Strategy

CASE STUDY / DAY 2

Innovating by systematically thinking "Inside the Box"

Thinking “Out of the Box” is something that’s quite prevalent, and talked about when we speak about Innovation. The purpose of this presentation is to stimulate “radical creative thinking” for Innovators in the Banking industry thru looking at inspirations & ideas available “right under our nose”, and touching upon real-life examples across the industries.

  • Competing perspectives of Innovation, and Making Innovation operationally useful
  • Leveraging Behavioral Drivers – MOA Framework
  • Kinds of Innovation, Innovation Radar – the 12 directions for Innovative Thinking
  • Systematically Thinking Inside the Box – the “Closed World Principle”
  • How can we systematically “Think inside the Box”?
  • Toolkit for systematic brainstorming – 5 principles with real-life examples and how relevant is this for Banking?

STAY UPDATED FOR THE 2019 EDITION

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