SAP | SAP Next-Gen Lab for Financial Services Boot Camp for Machine Learning

SAP

SAP Next-Gen Boot Camp
on Machine Learning in Financial Services

16 & 17 March 2017 in Potsdam, Germany

Banks and Insurers deal with large amounts of data and are increasingly considering Machine Learning and Artificial Intelligence to gain actionable insights quickly.

SAP aspires to make all its solutions intelligent and help Financial Services customers to leverage their data. Machine Learning and Artificial Intelligence enables computers to learn from large amounts of data without being explicitly programmed. SAP systems touch more than 70 percent of the world’s business transactions. Incorporating Artificial Intelligence and Machine Learning into software opens the opportunity to simplify employees’ everyday lives and allows them to focus on higher value tasks.

What can you expect?

Learn & Validate, Co-innovate & Get Inspired! During the two day boot camp you can learn how Machine Learning and Artificial Intelligence will change the game. You will listen to presentations from thought leaders, academia, banks and insurers and discuss outcomes with your peers and other corporations that are already applying Machine Learning operationally today.

You will have the chance to ideate, validate concepts or develop new use cases powered by Machine Learning and Artificial Intelligence.

Who should attend?

program managers, project members, influencers, operational IT, process owners, chief architects, technology scouts

Seats at this boot camp are limited

Hasso Plattner Institute

University of Portsmouth

London's Global University

Leipzig University

SAP Innovation Center Network

Agenda 16 March 2017

Expand All

08:00 a.m. Transfer from Hotel to SAP Innovation Center

08:30 a.m. Welcome by your hosts

08:40 a.m. SAP Next-Gen – Innovation with Purpose

09:00 a.m. The New Era - The intelligent Enterprise - Learn about our first wave of intelligent solutions

10:00 a.m. Coffee & Networking Break

10:30 a.m. A first glimpse of intelligent solutions for Insurance

11:00 a.m. A first glimpse of intelligent solutions for Banking

11:30 a.m. Discover how Machine Learning & SAP Fraud Management help you detect and prevent fraud

12:00 p.m. Lunch & Networking Break

01:00 p.m. Challenges for Financial Services Institutes through disruptive technologies

01:30 p.m. Optimising behaviour in an imperfect world

02:00 p.m. Your choice of breakout sessions

The design thinking workshop will provide a platform to Insurers & Banks to explore the benefits of machine learning in the following key areas:

Ticketing Intelligence - Towards lights-out customer service: learn how machine learning enables service organizations to automate repetitive, high-volume processing of incoming service enquiries, thus improving operation efficiency and satisfying the customer’s needs.
Data Integration and Regulatory Compliance – Data Integration is a fundamental problem in all analytical IT projects that require the consolidation of diverse data sets. Typically projects spend up to 80% of their budgets just to make data available in a normalized data model. In addition external requirements from regulators lead to frequent changes of the whole data integration chain. A new approach based on deep learning will provide the basis for semi-automated support of these activities that will reduce these efforts significantly.
Digital Assistants
- How can Machines understand what we are “saying”?
- How can we make them actually do what we want them to do?
- How can they learn language?
- How can they support me with my daily work and make me more efficient?
- These are all valid questions when it comes to the topic of Digital Assistants.
- Learn what SAP’s Fiori Co-Pilot brings to the table in this context and discuss ideas for possible use-cases.
Machine Learning in Banking Manual administrative work in straight forward processes as well as rework in case of errors oblige a growing highly skilled human workforce in times of rising numbers of process events. The currently implemented processes in accounting, loans, financing and payment as well shows a remarkably number of process steps which need human intervention to be fulfilled. The methods of machine learning have the potential to automate most of the required activities to a large extend which free up resources of your employees to work on more important service topics. In our breakout session we would like to understand your view on banking process execution, about pain-points during process execution and try to jointly sketch a first solution idea.
Machine Learning in Insurance offers a huge potential for improving and automating highly complex business processes and to free up people for more creative tasks in your company. Let’s exchange on the insurance value chain and various roles your daily business challenges where Machine Learning could leverage the outcome
Customer Retention Insight Banks and Insurers are losing thousands of disgruntled customers and losing valued customers requires costly re-acquisition. SAP Customer Retention Insights analyzes and creates insights into customers’ transactional behavior. It provides the ability to mine, predict and capture leading churn indicators and take proactive actions using advanced Machine Learning techniques. Applying machine learning gives you the ability to follow the Digital Fingerprints of individual customers and measure the relevance of each touch point to predict behaviors, like churn and many more.