This document discusses an AI-powered insurer of the future. Key points:
- Advances in data, AI, and cloud computing are changing insurer functions like underwriting, claims, and customer service by bridging gaps between value chain components.
- Insurers of the future will require new skills like using AI to personalize customer experiences, augmenting internal data with external sources, and leveraging AI and data for superior claims handling.
- Insurers can take either a defensive or offensive strategy to AI - defensive focuses on compliance while offensive uses data and AI to solve business problems and improve competitiveness.
- Insurers are using a range of AI techniques like natural language processing, predictive
Digital First Marketing – Practical Use case for life insurance advisorsThe Digital Insurer
Digital First Marketing – Practical Use case for life insurance advisors
International Agency Forum – 22-23 May 2019, Shanghai
“From Quantity to Quality”
Digital First Marketing – Practical Use case for life insurance advisorsThe Digital Insurer
Digital First Marketing – Practical Use case for life insurance advisors
International Agency Forum – 22-23 May 2019, Shanghai
“From Quantity to Quality”
The future of insurance distribution: New models for a digital customerAccenture Insurance
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.
People First: The Primacy of the People in the Age of Digital InsuranceAccenture México
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
Moving to the Cloud: Artificial Intelligence in Cloud-Based SolutionsAggregage
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.
Moving to the Cloud: Artificial Intelligence in Cloud-Based SolutionsNicolas Rodriguez
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.
The future of insurance distribution: New models for a digital customerAccenture Insurance
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.
People First: The Primacy of the People in the Age of Digital InsuranceAccenture México
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
Moving to the Cloud: Artificial Intelligence in Cloud-Based SolutionsAggregage
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.
Moving to the Cloud: Artificial Intelligence in Cloud-Based SolutionsNicolas Rodriguez
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.
How can AI & Automation make your business processes intelligentMindfields Global
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.
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.
Turning AI into Concrete Value: The Successful Implementers' ToolkitCapgemini
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.
Turning AI into concrete value: the successful implementers’ toolkitBen Gilchriest
This research is a pragmatic guide to help organizations in their AI investment decisions, built from an analysis of over 50 AI case studies and a survey of nearly 1,000 senior executives already implementing AI.
Artificial intelligence (AI), also known as machine intelligence, is an aspect of computer science that deals will the designing of intelligent mechanical systems that work and react like humans. AI incorporates information from everything ranging from Google search algorithms to machinal processes. From SIRI to self-driving cars, everything is the outcome of artificial intelligence, which is rapidly progressing and taking over our human lives.
An excellent report on AI technology, specifically generative AI, the next step after ChatGPT from Epam.
Impact Assessments, Road Charts with fully updated Results and new charts.
AI in Manufacturing: moving AI from Idea to ExecutionbyteLAKE
#AI and #HPC convergence is here and is here to stay and accelerate innovations across industries. The increased availability of data, hardware advancements leading to increased computational capabilities, and new algorithms and mathematical models have collectively resulted in the accelerated AI expansion in all sorts of applications. This, however, creates high computational needs which naturally have been more and more successfully addressed by HPC (High-Performance Computing). In that sense, AI & HPC complement each other. HPC infrastructure is often used to train AI’s powerful algorithms by leveraging huge amounts of sample data (training set) and in that way enables AI models (trained algorithms) to recognize shapes, objects (machine vision), find answers hidden in the data (predictive maintenance, data analytics) or accelerate time to results (predict the outcome of complex engineering simulations).
We at byteLAKE have been closely working with Lenovo, Lenovo Infrastructure Solutions Group, Intel Corporation, NVIDIA and many more to ensure that our AI-powered products not only help our clients efficiently automate various operations and reduce time and cost but also are highly optimized and make the most of the hardware and software infrastructure where they are deployed. Besides our efforts in bringing AI solutions to the paper industry and manufacturing in general (which I described in my previous post), our efforts in bringing value thru AI in the chemical industry highly benefit from HPC's capabilities to dynamically scale and keep up with performance requirements. Our product, #CFDSuite (AI-accelerated CFD) leverages HPC to efficiently analyze historic CFD simulations and makes it possible for our clients to predict their outcomes on various edge devices i.e. laptops, desktop PCs or local edge servers. And with that in mind, I am very happy to see the byteLAKE team becoming one of the drivers of AI & HPC convergence and leveraging it to bring innovations to various industries.
Links:
- byteLAKE's Cognitive Services: www.byteLAKE.com/en/CognitiveServices (Cognitive Services (AI for Paper Industry & Manufacturing)). Related blog post series: www.byteLAKE.com/en/CognitiveServices-toc
- byteLAKE's CFD Suite: www.byteLAKE.com/en/CFDSuite. Related blog post series: www.byteLAKE.com/en/AI4CFD-toc
- byteLAKE’s CFD Suite (AI-accelerated CFD) — HPC scalability report: https://marcrojek.medium.com/bytelakes-cfd-suite-ai-accelerated-cfd-hpc-scalability-report-25f9786e6123 (full report: https://www.slideshare.net/byteLAKE/bytelakes-cfd-suite-aiaccelerated-cfd-hpc-scalability-report-april21)
- byteLAKE's CFD Suite (AI-accelerated CFD) - product community: www.bytelake.com/en/AI4CFD-pt2 (LinkedIn and Facebook groups)
#AI #IoT #Manufacturing #Automotive #Paper #PaperIndustry #ChemicalIndustry #CFD #FluidDynamics #OpenFOAM #ArtificialIntelligence #DeepLearning #MachineLearning #ComputerVision #Automation #Industry40
In order to acknowledge the constant efforts of these companies, Insights Success has shortlisted “Major League of IT Consulting and Staffing Solution Providers 2018”
[Webinar Slides] Maximizing Workforce Capacity - Proven Practices for Saving ...AIIM International
Learn how these Intelligent Automation best practices can help you save time, money, and effort by freeing up your manually-driven and paper-based processes.
Want to follow along with the webinar replay? Download it here for FREE: https://info.aiim.org/intelligent-automation-proven-practices-for-saving-time-money-and-effort
We are proud to present in this e-book a wide range of AI solutions from 15 Greek and Cypriot Microsoft partners. As we are actively working with those partners to develop and co-sell their solutions across the world, we hope this will serve as an inspiration to Start-Ups as well as established software and solution providers to work with our partner team to build the strongest AI ecosystem across Greece, Cyprus and Malta.
AppSphere 15 - Shining a Light on Shadow IT: A New Way of Working for "Busine...AppDynamics
Brandon Bichler, a Partner at London-based consulting firm Elixirr, will walk through what this new operating model looks like and provide some real examples of where it has been implemented and is working. Furthermore, he will outline what you can do to:
- Sense check how healthy your company is in terms of the relationship between business and IT
- Start to build out the components of this new operating model, factoring in the culture and organisational nuances of your company
- Engage key stakeholders on this topic and secure their support for change
This deck was originally presented at AppSphere 2015.
Similar to Webinar for Apr 2019 - AI Powered Insurer (20)
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
2. Today’s Panelists
Host: Hugh Terry
Founder,
TDI
Moderator: Elisha Deol
Global InsurTech Manager,
KPMG
Parmjeet Kaur
Founder & Head of Research
ITR Connect
Gillian McCann
Co-founder
Workgrid Software
Gero Gunkel
Group Head of AI,
Zurich
Kaushik Raghunandan
Digital Director + Innovation,
KPMG Singapore
4. Questions & Answers
How to participate:
If you have a question please type into the Q&A area
If you have a comment please type into the chat area
Session format:
The moderator will use a combination of his own questions
and those from the audience
11. Snap Poll
11
Q. Which of these functional area can benefit most from the application of
AI NOW?
1. Underwriting
2. Sales
3. Claims
4. Customer service
How to participate:
Just respond to the question when it appears on your screen
13. LIBERTY MUTUAL13
Workgrid at a Glance
Born from an internal employee experience initiative
supporting 50,000 global employees.
Building intelligent software solutions to simplifying the
work day and improve the employee experience.
Backed by Liberty Mutual, Workgrid Software is not your
typical technology startup company.
Trusted by theWholly-Owned by
Enterprise
Scale & Standards
Enterprise
Experience
Enterprise
Expectations
Built for the Enterprise, by an Enterprise
14. LIBERTY MUTUAL14
Text Generation
Question Answering
Context Extraction
Classification
Machine Translation
Sentiment Analysis
Natural Language Understanding
Text to Speech
Transcription
Automatic Speech Recognition
Emotion Recognition
Entity Recognition
15. LIBERTY MUTUAL15
Layered Approach
Understand common questions and tasks that occur
across enterprise. Take a layered approach to building
integrations.
Persona Mapping
Understand personas and how employees use
applications, what questions and tasks exist
Involve Employees in the Process
Bottom Up Approach, design thinking, sometimes it’s
the simple things
16. LIBERTY MUTUAL16
Feedback Loops
Build in feedback loop that can be used to drive new
features
Understand Questions Being Asked
Track common questions and monitor quality of bot,
track usage of bot, understand what employees ask
Performance Tracking
Understand performance of bot
17. LIBERTY MUTUAL17
Is Conversation the Right Interface?
Is conversation easier than a visual interface?
Use multi-model designs – visual and voice
features.
Context is King
Conversations without context is
meaningless, include personalized and
contextual responses
Simplify Answers
Employees expect answers, not PDFs, not links,
not strings of long text
Built-in Help & Opt-Out
Do you have a way allow users to leave a
conversation or start again at any point or
include built-in help?
Script it Out
Conversations can take different paths.
Design for different flows and error handling
Don’t Pretend to be Human
Understand that a user may say things in
different ways then when they type something
18. LIBERTY MUTUAL18
Needs Code
If you keep asking a bot what the weather is, it won’t
learn on its own. Has to connect to weather system.
Doesn’t Learn on it’s own!
Machine learning doesn’t mean a chatbot can learn
on its own
Multiple components of AI
Machine learning, Robotics, NLP, Speech, Vision,
Planning, Expert Systems
19. Snap Poll
19
Q. Which of these AI technologies has most potential for insurance?
1. Natural language processing
2. image recognition
3. Predictive modelling
How to participate:
Just respond to the question when it appears on your screen
21. Snap Poll
21
Q. Which one of the following is in your view most important in a
successful AI project?
1. Selecting of solution provider
2. management of solution provider
3. Quality of people deployed internally to project
4. Project scoping and planning
5. Data management
6. Data availability
How to participate:
Just respond to the question when it appears on your screen
24. ‘Investment industry to spend $2.8bn on AI by 2021,
expected to cut quarter of a million jobs
(Opimas Consultancy, 2019)
Artificial Intelligence ITR AI – Reality or Hype
Version 4.0
‘Nearly half of all ‘AI Start-ups'
are Cashing in on the Hype’
(Forbes, 2019)
‘Out of 2,830 start-ups in Europe that were classified as being
AI companies only 1,580 accurately fit that description’
(MMC Ventures : The State of AI 2019)
‘Amazon Scraps ‘Sexist AI’ recruiting tool - Amazon Recruitment
Tool favours male candidates over female candidates based on
historical data’
(Telegraph 2018)
‘The tools and technologies we’ve developed are really the first few
Drops of water in the vast ocean of what AI will do’
(Fei-Fei Li - Stanford)
AI will probably most likely lead to the end of the world but
in the meantime, there’ll be great companies
(Sam Altman – Y Combinator)
• We are just at the start of our Journey with AI but
already its affecting our business today.
• Just saying your company uses AI increases
enterprise value significantly.
• Lots of missteps, but huge potential to benefit
society and the Insurance sector.
Recent Acqui-Hire deals value talent at between
$5m and $10m per AI Expert
(Pitchbook, 2018)
25. Artificial Intelligence
ITR Analytics 1500 Insurtechs,
425 AI Driven Models
Version 4.0
Bias of AI Players to TechCos...
AI Insurtechs are Early Stage… …small in size… …focused on efficiency.
… AI is a dominant force of change.…focus on ML and DP and RPA…
26. Artificial Intelligence ITR AI Claims Fraud
Solution: Fraud Detection
Shift - Big data and AI-based solution for insurers to
identify fraudulent claims.
SHIFT - In A Nutshell
Shift Technology is a leading SaaS platform that
leverages artificial intelligence and big data to
detect fraudulent claims and automate the claims
process for insurers.
Problem Statement:
Claims processing represents a significant portion
of total expenses for insurers with fraud specialist
teams a high cost centre.
SHIFT TECHNOLOGY - 2014
Overview
Shift Technology provides solutions for insurance
companies to manage and identify fraudulent claims by
using artificial intelligence and machine learning. The
company provides FORCE, an insurance fraud detection
solution and Luke, a claim automation solution for claim
handlers and insurance managers. Shift Technology works
with P&C as well as healthcare insurers.
Key Facts ITR View
Shift Technology has circa 50 insurance clients and
operates in 19 countries. In 2017, their revenue had
grown by more than 800 percent.
Shift claims to have already examined over a 100 million
property and casualty claims and has been designated
one of the top 100 AI firms and top 20 Insurtechs globally.
In 2017, Shift Technology raised a Series B funding round
of $28 million from Accel and General Catalyst.
In March 2019 Shift secured another $60m of funding.
Client Partnerships continue to grow –
The application of AI using historical
data to find and predict fraud patterns
delivers a strong use case.
27. Artificial Intelligence ITR AI Health
Solution: Health AI
Lumiata - Applying big data-driven medical science to
patient data in order to make healthcare smarter.
Lumiata - In A Nutshell
Lumiata is using AI to produce intelligent health
analytics for improved risk awareness and cost
management in healthcare.
Problem Statement:
Health industry plagued by complexity, lack of
transparency and high costs.
LUMIATA 2013
Overview
Key Facts ITR View
Cost Prediction AI - An excellent example of how AI can be
used to develop predictive cost models estimating average
health costs over time, down to the patient level.
Several applications – group schemes, individuals, self
funded employers.
Founded in 2013 and based out of California, USA, Lumiata,
which was formerly known as MEDgle Inc, hopes to provide
“risk and cost predictions for patients and populations to help
optimize major health plans.” The company’s models help
predict the risk of disease and the onset of several chronic
conditions.
Lumiata is certified on industry compliance
standards and is backed by Khosla Ventures,
BlueCross BlueShield Venture Fund, Intel Capital
and Sandbox.
In July 2018, the company closed $11 million in new
funding co-led by Khosla Ventures and BlueCross
BlueShield Venture Partners, bringing the
company’s total funding to $31million.
28. SPIXII – In a Nutshell
Artificial Intelligence ITR AI Chatbots
Solution: Chatbots/RPA
Spixii - An intuitive chatbot framework that can be
adapted to automate sales, customer care and claims.
Problem Statement:
Manual process in insurance today limit the ability
to improve customer experience models.
Spixii - 2016
Overview
Key Facts ITR View
Spixii provides white labelled AI-based chatbot
solutions that automate insurance services from
distribution to claims.
Spixii was founded in 2016 in London, UK, the operation
has expanded using a number of accelerators e.g. SBC,
TechStars. The company offers three solutions—Spixii
Discovery, Spixii go-to-market and Spixii partnership.
Spixii offers a white-label chatbot that allows
insurers to engage with their customers.
The company’s chatbot uses AI and machine
learning technology to provide a rich user
experience to an insurer’s customer base.
One to Watch – Their chatbot framework will only improve
over time and already being leveraged by the likes of
Zurich and Bupa.
The fundamentals are sound, wait to see if they get market
traction and growth.
29. Snap Poll
29
Q. “ Technological Singularity” is the hypothesis that the invention of
artificial superintelligence will abruptly trigger runaway technological
growth, resulting in unfathomable changes to human civilization. When do
you think this singularity will happen?
1. Next 10 years
2. Within 30-50 years
3. don’t know
4. Will not happen
How to participate:
Just respond to the question when it appears on your screen
30. Q&A
Moderator: Hugh Terry
Founder,
TDI
Moderator: Elisha Deol
Global InsurTech Manager,
KPMG
Parmjeet Kaur
Founder & Head of Research
ITR Connect
Gillian McCann
Co-founder
Workgrid Software
Gero Gunkel
Group Head of AI,
Zurich
Kaushik Raghunandan
Digital Director + Innovation,
KPMG Singapore
32. LIVEFEST 2019
32
What to do now – apply for
an award!
• Prepare award entries for –
Insurance Innovation and Startup
InsurTech’s. Applications Open!
• Insurers – apply for the LIVEFEST
Knowledge programme (it’s free !)
• Save the Dates and Login with TDI
credentials to participate live or view
on-demand
• LIVEFEST 2018 session recordings
and summary also available in the
LIVEFEST Zone
33. Post webinar activities
Recording will be emailed to registered participants
Please give us your feedback and participant suggestions
If you would like to follow-up with any of the panelists
hugh.terry@the-digital-insurer.com
Elisha.Deol@kpmg.co.uk
kraghunandan@kpmg.com.sg
gillian.mccann@workgrid.com
gero.gunkel@zurich.com
parmjeet.kaur@itrconnect.com
Join or next webinar on 11th June- Digital Bancasurrance: https://www.the-digital-
insurer.com/event/digital-bancassurance/
Editor's Notes
Introducing the panelists
Introducing the discussion agenda
Hugh will pull up the poll
Understand what employees are asking for- respect employee privacy and only store what is needed to perform tasks and improve bot. Keep trust with employee.
Understand what employees are asking forFeedback loops to drive new features Monitor quality of answers to common questions
Understand Bot performance