Conference Day One - Tuesday 19th March 2019
8:30 am - 9:00 am Registration & Networking Coffee
9:00 am - 9:10 am Chairperson’s Opening Remarks and Conference Close
9:10 am - 9:50 am Future of Mobility and Risk Management - Role of Distributed Ledger Technology (DLT) and Machine Intelligence
- Cornerstones of future of Mobility
- DLT-driven trusted machine intelligence in the next frontier of Mobility
- Amplified role of re/insurance in the shifting landscape of Mobility Risk Management
9:50 am - 10:30 am Automating the Machine Learning Process to Improve Speed, Accuracy and Efficiency
- Organisational assessment to determine key business problems that need solving: Planning and prioritising key ML opportunities
- Understanding how automating ML can drive positive change across different business units and functions: CX, Claims, Pricing, Underwriting and Fraud
- From pilot projects to full scale deployment: Scaling projects at speed
- Case studies: Demonstrating value across the insurance sector
10:30 am - 11:00 am Morning Coffee and Networking Break
11:00 am - 11:40 am Beyond Property Ownership: The Future of Insurance Billing by Experience Providers
- Understanding the importance of experience rather than ownership
- Exploring new business models emerging within the digital era
- Insurance position in ecosystems as well as intelligently embedding insurance as a part of experience assurance
- The importance of collaborating with new vendors that are developing new digital economy products
Marijo Volarević
Director (CDO), Digital Strategy and Development SectorCroatia Insurance Company
11:40 am - 12:20 pm Panel Discussion: Preparing for Intelligent Automation Era: Ethical Use of Technology within the Insurance Sector
- Where are we now, and where is the industry headed: Current and future technology
- What are the ethical and moral considerations of using intelligent automation technology?
- How can the industry ensure they are putting ethical principles into practice?
- The importance of transparency, accountability and responsibility
12:20 pm - 12:50 pm Cognitive Intelligence: Enhancing CX by Leveraging Speech Analytics & Virtual Assistant Technology
- Cognitive technology overview: Real time process guidance and resolution through analytics and automation
- Integration: A business case illustrating the integration of Robotic Assistant tech and Advanced Speech Analytics, driving up customer retention
- Snap shot of successes realised within the insurance sector
12:50 pm - 1:50 pm Lunch and Networking Break
1:50 pm - 2:30 pm Change Management Strategies: Creating a Data-Driven Enterprise at Scale and Speed
- Outlining the unique characteristics new technology will bring and managing the risk and resistance to change
- Assessing the organisation to determine who, how many and how people will be affected
- Creating the change management strategy: Team structure, sponsor model, special tactics and risk assessment
- Finding the balance between changing mind-sets, technological change and standardisation
- Establishing strategic partnerships between departments, employees and stakeholders
- Implementing the change management methodology and leading organisational change
2:30 pm - 3:00 pm Applying AI Technology and Analytics to Improve Fraud Prevention and Detection
- Describing how advanced machine learning analytics can greatly reduce fraud, improve customer experience and rive competitive edge
- Creating and utilising insights to improve predictions to flag suspicious claims, other fraudulent activity and manage risk
- Using AI and machine learning to improve speed and accuracy of data-driven decisions: Automating tasks to free up valuable resources
- Choosing the right solutions: Exploring the vendor landscape how to integrate these technologies to work in harmony with legacy systems
3:10 pm - 3:40 pm Afternoon Coffee and Networking Break
3:40 pm - 4:20 pm Building a Foundation for Advanced Analytics
- Understanding customer needs: Establishing the "why" & "what" before jumping into "how"
- Balancing commercial objectives and customer need: CX, business performance, cost reduction etc.
- Establishing the catalyst for change: Embedding a culture of experimentation
- Building the benefits case: Securing leadership buy-in and proving ROI
- Driving advanced analytics transformation: Leadership, strategy, team, architecture and implementation
4:20 pm - 5:00 pm Adopting an AI-First Product Approach in the Enterprise
- How to achieve a data-driven business culture and benefit from it: Creating certainty and optimism about making big decisions
- Developing the right team and expertise to build AI-First products which combine machine learning, computer vision and natural language processing
- Articulating the benefits of utilising quality data to enrich decision making, create better user experiences and drive competitive edge
