Colville Wood & David Fearne: Cognizant: The power and surprises of generative AI in practice (283)
Jan 10, 2024
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Colville Wood and David Fearne from Cognizant discuss the practical applications and benefits of generative AI in the insurance industry. They explore how generative AI can automate manual tasks, optimize processes, and provide valuable insights for underwriters. The key to successful implementation is finding balance between AI and humans. They also touch on data privacy and security considerations. Overall, generative AI has the potential to streamline workflows and improve operations in the insurance industry.
Generative AI has the potential to automate manual tasks and optimize processes in the insurance industry.
Implementing a cognitive architecture that integrates with generative AI can enable organizations to generate new knowledge, enhance productivity, and create proactive and reactive systems.
Deep dives
Introduction to Generative AI
Generative AI, or Generative Artificial Intelligence, is a multifaceted technology that can create new derivative knowledge based on existing multi-source knowledge. It has the ability to learn on demand, understand, and critically think through problems. This technology is being applied in various industries, such as virtual doctor programs, powerful underwriting accelerators, and co-pilots for development. It has the potential to free up time for professionals to focus on higher value tasks and accelerate decision-making processes. Companies are starting to explore and invest in generative AI, shifting budgets from cost reduction to experimentation and application development.
Generative AI in Insurance
Generative AI is being recognized as a general technology that can be applied in various areas of the insurance industry. It has the potential to automate manual tasks, such as content creation, legal contract understanding, underwriting rules processing, triaging emails, summarizing conversations, and more. While organizations have recently become aware of this technology, budgets are being allocated to experiment with and apply generative AI solutions. Insurance companies are leveraging generative AI to streamline processes, provide personalized customer experiences, optimize decision-making, and explore new business opportunities.
Cognitive Architectures for Generative AI
To effectively utilize generative AI, organizations need to implement a cognitive architecture that integrates with the large language model (LLM) technology. Cognizant has developed four cognitive architectures: Customer Experience Navigator, Enterprise Knowledge Navigator, Process Optimizer, and Software Development Lifecycle Navigator. Each architecture serves specific purposes, such as enabling safe and controlled customer interactions, accelerating decision-making, optimizing processes, and facilitating software development. These architectures help organizations leverage generative AI's ability to generate new knowledge, enhance productivity, and create proactive and reactive systems.
The Future of Generative AI in Underwriting
While generative AI has the potential to automate simpler tasks in underwriting and provide valuable insights and recommendations for underwriters, it is unlikely to replace human underwriters entirely. Generative AI can act as a super assistant, enabling underwriters to handle more business, focus on higher-value and complex risks, and explore new markets. The technology offers opportunities for insurers to expand their footprint and improve risk models, ultimately reducing costs and providing a better customer experience. The adoption of generative AI in insurance requires organizations to overcome challenges related to data privacy, security, and regulatory compliance, while embracing the potential for innovation and job enhancement.
Cognizant is a global professional services company helping companies across different industries with generative AI.
Henry Gale is joined this week by Colville Wood, Chief Technology Officer for Insurance (UK&I and EMEA) and David Fearne, Global Director of Generative AI at Cognizant. The discussion covers how Generative AI has the potential to automate manual tasks, optimize processes, and provide valuable insights for underwriters in the insurance industry. Cognizant encourages companies to start exploring the possibilities of generative AI and see how it can improve their operations.
Key talking points include:
Generative AI in the workplace - accelerator and assistant
Data, privacy and security considerations
Helping underwriters do their work better
The key to successful implementation is balance
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This InsTech Podcast Episode is accredited by the Chartered Insurance Institute (CII). By listening, you can claim up to 0.5 hours towards your CPD scheme.
By the end of this podcast, you should be able to meet the following Learning Objectives:
Identify how Generative AI can help streamline workflows in insurance, particularly for underwriters
Summarise what you need to take into consideration before implementing Generative AI into the workplace
Specify examples where insurers could implement Generative AI to accelerate their processes
If your organisation is a member of InsTech and you would like to receive a quarterly summary of the CPD hours you have earned, visit the Episode 283 page of the InsTech website or email cpd@instech.co to let us know you have listened to this podcast.
To help us measure the impact of the learning, we would be grateful if you would take a minute to complete a quick feedback survey.
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