Transform for Success in a Digital World
Fierce competition, advances in technology, and consumer expectations for hyper-personalised services are forcing banks to evolve. To adapt to rapid market developments, banks are looking to transform leveraging the new era of data evolution, advanced analytics, Artificial Intelligence (AI) and Machine Learning (ML).
Lloyds Banking Group are serious about evolving to create a leading customer experience and transforming by digitising the group.
Please join us at the SAS Lloyds Banking Group Forum to understand how innovation in analytics, AL & ML are driving strategic transformation across the group. You will hear directly from your peers and subject matter experts on how AI & Applied Science in the cloud can be deployed to power LBG’s transformation aligning with GSR4.
|Wednesday 20thth May 2020|
|10.30 - 11.00||Registration, Tea, Coffee & Pastries|
|11.00 - 11.15||Welcome to SAS Lloyds Banking Group Forum|
|11:15 – 11:45||Transformation and Banking||Simon Overton, Director – Financial Services, SAS|
|11:45 – 12:15||Digitalisation and the Cloud||Paul Jones, Head of Technology, SAS|
|12:20 – 13:20||Networking Lunch and hands-on AI & Analytics in Action Demos|
|13.20 - 13.50|
Lloyds Banking Group Session 1
|13.50 - 14.20|
Lloyds Banking Group Session 2
|14:20 – 14:40||Afternoon Break & Analytics in Action Demos|
|14.45 - 15.15|
Lloyds Banking Group Session 3
|15.15 - 15.45|
Lloyds Banking Group Session 4
|15.45 - 16.00|
SAS Lloyds Banking Group Forum Closing Remarks
LBG Account Director, SAS
|16:00 – 17:00||Networking Drinks Reception & Demos|
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.