ON-DEMAND ONLY

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The number of claims in the areas of business interruption, liability, property, life and health due to new high-impact emerging risks are increasing in recent times. Insurers face a dual imperative to control claims costs, while also providing a differentiated customer experience. Emerging Artificial Intelligence (AI) and Machine Learning (ML) technologies have the ability to transform the insurance claims process and help achieve both goals.

Join this free webcast to learn how adding AI and ML as complementary technologies to existing claims platforms can help solve the challenges of straight-through processing and enhance fraud detection to support claims automation efforts. You will also learn:

• How AI and ML solve both simple and complex claims analysis challenges and are the key to transforming the claims experience
• What problems AI and ML do not solve
• Where AI fits on an insurance claims organization's roadmap and how to integrate it with existing platforms
• What a typical deployment of AI claims technology looks like and how it can augment human decision-making

REGISTER NOW! (Can't attend? Register here for an on-demand recording after the webcast.)

Featured Speakers:

Satish Weber| Vice President, Insurance Go-to-market | Capgemini Innovation and transformation leader with more than 20 years of experience working with clients to advance their businesses. Proven success in the design and execution of large multifunctional change programs which result in improved operations and competitive positioning. Known for assembling and leading high-performing teams and for exceptional account management abilities. Experience working with Fortune 500 companies as well as start-ups to develop and execute new strategies, re-design business processes, implement new technology and manage change.

Eric Sibony| Co-founder and Chief Scientist | Shift Technology Eric Sibony is Co-Founder and Chief Science Officer of Shift Technology, a provider of AI-native fraud detection and claims automation solutions for the global insurance industry. Since the establishment of the company, Eric has supervised the design of Shift's solutions and their evolution, as well as the R&D on the algorithms used by the solutions. He holds a PhD in machine learning.