Webinar for Apr 2019 - AI Powered Insurer

This document summarizes a panel discussion on accelerating digital transformation in the insurance industry in Indonesia. The panel included representatives from an Indonesian insurer and an Insurtech company. They discussed trends like the urgency of digital change, different speeds of digital adoption, and the need for an omni-channel approach. The insurer representative discussed their focus on digital distribution and a seamless online customer journey. The Insurtech representative discussed how their platform provides various insurance products and aims to improve insurance literacy. The panel saw the most attractive areas for Insurtech in Indonesia being new digital business models and value chain innovations in sales and marketing.

The webinar discussed insurance innovation with a panel of experts. They covered topics like how insurtech is making insurance more digital, mobile, and data-driven. Panelists from AXA XL, Trov, and Munich Re Digital Partners shared their perspectives on using data analytics, partnering with insurtech firms, and creating new business models. Polls were taken of attendees on questions like which areas of the value chain would see the most impact and how large insurers should approach innovation. The webinar provided an overview of current trends in insurance technology and perspectives from industry leaders.

This report argues that incumbents need to embrace digital disruption, form partnerships and adopt innovative technologies to improve customer engagement and create new opportunities for growth. It introduces five new distribution models that insurers should consider, as well as six ‘lenses’ through which they can be evaluated. Your insurance clients know that far-sighted players are already confronting the future of insurance distribution. Use this report to help them assess their options.

The document discusses the future of the agency model in insurance and introduces the concept of an "OMNI Advisor". It suggests that most insurers will fall behind in their digital transformations if they do not accelerate plans to move to this new model. The OMNI Advisor model envisions advisors having a digital presence and tools to engage with customers anytime. Examples from insurers like Generali Indonesia, Manulife Singapore, and Ping An China that have begun implementing aspects of this model are provided. The document argues that for agencies to remain relevant, they will need to adopt digital capabilities, content, and new skills to operate under a new, digitally-focused operating model.

The document discusses a webinar on improving customer experience in insurance through new technologies. It includes presentations from three panelists: 1) James Harding discussed using self-service claims technologies to improve the customer experience and reduce costs. Claims are settled faster with high customer satisfaction rates. 2) Dr. Onn Keet Peng argued that understanding customers based on data insights allows insurers to provide the right products to customers at the right time through the right channels. 3) Hugh Terry explained that customers use multiple channels throughout their journey and expect a seamless experience. Insurers must meet customers on all channels to remain relevant.

Hugh Terry presented on digital insurance in Asia. Three major trends are driving change: technology is cheaper and easier to implement, data is more abundant and can power new business models, and consumers are more demanding. Insurers face disruption and need to transform existing models, create new models, or manage existing models. In Asia, opportunities exist to innovate in products, distribution, and customer experience through digital. Insurers must welcome multi-touch customers and leap ahead in digital product development to remain competitive. Leading insurers already have sizable digital workforces and are experimenting with innovation to transform.

This document is a summary of a panel discussion about machine learning operations (MLOps) and its growing importance in insurance. The panel featured representatives from Red Hat, Celent, Intel, and HDFC Life. They discussed how most insurers are still in the early days of adopting MLOps. HDFC Life then presented on its use of computer vision APIs for applications like age estimation, document verification, and risk profiling during the insurance process and claims. The discussion concluded with a call for feedback on MLOps and digital transformation in insurance.

The document describes The Digital Insurer (TDI), which provides information and analysis on digital insurance trends. TDI maintains a global community of insurance professionals through its publications and events. It offers various content services, including the largest online library on digital insurance topics. TDI's leadership team has extensive experience in insurance technology.

This document discusses digital transformation and ISG's digital framework. It provides an overview of key aspects of digital transformation including developing a vision, building a digital backbone, adopting flexible infrastructure and agile processes, understanding how applications drive delivery models, and taking a multi-speed approach to application development. The document also discusses how ISG typically helps clients develop digital strategies and roadmaps.

The Digital Insurer shares a personal perspective of the conference from a digital insurance perspective

The document summarizes a discussion on cashless payments and digital currencies. It includes an agenda with presentations on payments in China and Southeast Asia by Kapronasia, the development of payments in China by Qinqin Tech, the journey of Octopus payments in Hong Kong, and implications of the digital yuan by Forrester. There was also a panel discussion and polls on the benefits of the digital yuan for insurers. The event was aimed at accelerating digital transformation in the insurance industry through collaboration.

The document discusses learning and development (L&D) in a digital age for the insurance industry. It begins with an introduction to The Digital Insurer (TDI), which aims to accelerate the digital transformation of insurance through collaboration, reliability, agility, diversity, value delivery, innovation, and trust. The discussion agenda includes strategic, learner, industry, and learning provider perspectives on digital L&D. Panelists will discuss topics like data-led marketing, customer experience, digital business models, and change management. Participants are encouraged to ask questions in the Q&A and provide comments in the chat. The session aims to explore how L&D needs to adapt to meet future skills needs and deliver a blended learning experience going

The document discusses a webinar on system modernization among APAC insurers. It provides an overview of the webinar agenda, which includes a discussion on how system modernization can enhance customer experience while reducing costs. It also shares key findings from a Forrester study on the system modernization landscape in APAC. The study found that most insurers see system modernization as critical to business success but face challenges modernizing legacy systems. Claims management systems were the highest priority for modernization. Most insurers are taking steps like cloud migration and retooling core systems rather than replacing or retiring them.

Webinar:Leveraging Zendrive’s Mobility Risk Intelligence (MRI) platform throughout the customer journey

The document summarizes a webinar on the launch of an India Insurtech Map by The Digital Insurer (TDI) and the India Insurtech Association. The webinar featured presentations on the map and India Insurtech landscape, perspectives from Allianz on digital transformation, and a panel discussion on digital distribution. The map is intended to provide an overview of the emerging Insurtech sector in India and help profile initiatives to local and global audiences. Participants were also polled on topics like the future role of digital ecosystems and challenges to digital transformation. TDI provided updates on its Insurtech directory and learning programs and opportunities for volunteers and future webinars were discussed.

The document contains a series of polls, questions, and answers from a webinar on digital insurance predictions for 2018. It includes polls on topics like the valuation of Lemonade, which business models will generate the most value, and which parts of the insurance value chain are most likely to be outsourced. It also includes answers to questions from attendees on issues like the challenges of adopting customer-centric models, how regulation may evolve with new ecosystems, and whether traditional insurers can change quickly enough to compete with large tech brands. Feedback from attendees was positive, praising the diverse views and topics covered.

John Cusano, Director Global de la Industria de Seguros, dio a conocer cómo la innovación es un habilitador para superar los desafíos que pueden surgir de la adopción de modelos digitales

With the advent of chatbots, artificial intelligence, interactive voice response, and machine learning, novel technologies continue to disrupt the contact center industry. These advances initially gave the impression that automation will replace the human element. Join Rick Nucci, Co-Founder and CEO of Guru, as he demystifies AI, explains how machine learning helps contact centers rather than replaces them, and demonstrates how to leverage this new technology to create innovative solutions.

With the advent of chatbots, artificial intelligence, interactive voice response, and machine learning, novel technologies continue to disrupt the contact center industry. These advances initially gave the impression that automation will replace the human element. Join Rick Nucci, Co-Founder and CEO of Guru, as he demystifies AI, explains how machine learning helps contact centers rather than replaces them, and demonstrates how to leverage this new technology to create innovative solutions.

Enterprises gain a deeper understanding of their processes as they progress further into their automation journey. Exploring the connection between AI, automation and understanding how these technologies help make your business processes intelligent is a necessary next step.

ITExpertUS is a global consulting firm headquartered in Chicago that implements bespoke technology solutions using artificial intelligence, machine learning, and other emerging technologies. It has over 7 locations worldwide and helps startups, SMBs, Fortune 500 companies, and governments transform digitally. ITExpertUS' multidisciplinary teams develop customized solutions to drive business growth and create competitive advantages for clients in industries globally. Some of its service areas include machine learning, natural language processing, computer vision, augmented and virtual reality, blockchain, and more.

This presentation was made on June 16, 2020. A recording of the presentation can be viewed here: https://youtu.be/khjW1t0gtSA AI is unlocking new potential for every enterprise. Organizations are using AI and machine learning technology to inform business decisions, predict potential issues, and provide more efficient, customized customer experiences. The results can enable a competitive edge for the business. H2O.ai is a visionary leader in AI and machine learning and is on a mission to democratize AI for everyone. We believe that every company can become an AI company, not just the AI Superpowers. We are empowering companies with our leading AI and Machine Learning platforms, our expertise, experience and training to embark on their own AI journey to become AI companies themselves. All companies in all industries can participate in this AI Transformation. Tune into this virtual meetup to learn how companies are transforming their business with the power of AI and where to start. About Parul Pandey: Parul is a Data Science Evangelist here at H2O.ai. She combines Data Science , evangelism and community in her work. Her emphasis is to spread the information about H2O and Driverless AI to as many people as possible, She is also an active writer and has contributed towards various national and international publications.

In the year 2014, while e-commerce was majorly a business-to-consumer (B2C) game a platform best constructed for consumer brands and retail transactions, business-to-business (B2B) was barely on the limelight. B2B ordering solutions were very few, pricey, and complex in nature. Because of this, it was difficult for small wholesale distributors and retailers to implement B2B ordering solutions in their businesses.

A Capgemini study of nearly 1,000 organizations implementing Artificial Intelligence highlights the growth opportunity of AI and counters fears that AI will cause massive job losses in the short term.