Digital Transformation
Major tech trends through the customer lens and relationships to the Insurance Industry
7 core technology trends: Mobility – Data – Social - Bots – Intelligence – Visualization – Things
2. Agenda
• We live in interesting times
• What is going on?
• Technology Abundance
• Technology Lens
• Of value to the Insurance Industry
• Realizing Transformation Value
• Understanding what is possible and required
4. We’ve seen some things disappear this century
Encyclopedia (books)
Film camera
Floppy disksFax machines
WalkmanVHS
Pay
phones
5. Some things we’ve seen appear this century
• Smartphone
• Social media
• Text messaging
• Digital cameras
• Downloadable music
• On demand video
• E-books and readers
• Wearable tech
• 3D printers
• VR/AR
• Self-driving vehicles
• Real time traffic, maps
• Same day delivery
• Drones
6. Our companion is a tiny mobile computer to call, chat,
text, play, and entertain us any time, everywhere.
7. Expectations
On demand and fast
Convenient and simple
Attitudes
Bombarded by options
Fight for attention
Access
Mobile
Local
Experience
Personal and social
Real and virtual
Our last best experience sets our expectations for everything
Digital has transformed us into new age consumers
12. • Improve health outcomes
• Customer Experience
• Variety of health tracking apps
to be developed
• Health, drug alerts
• Outcome: fewer Doctor visits
• Real time structured data and
metrics
13. • Variable pricing according to
behavior
• Good drivers do not subsidize
bad
• “After analysis of billions of
miles in driving data,
Progressive has found that key
driving behaviors—like actual
miles driven, braking, and time
of day of driving—carry more
than twice the predictive
power of traditional insurance
rating variables”
17. Mobility
• Mobility is about being connected with access on demand
• Connect to other people and any networked resource
• “Mobile” is about devices, platforms and techniques
• Mobility enables you to create richer relationships
• Where you are (location) and what you are doing (apps)
• Mobility provides many points of situational data
• Date, Time, Location, Motion, Proximity
• Biometrics, Sound, Climate, Activity, Interactions
• Mobility is multi-modal
• Voice, text, chat, web, email, video, audio, bytestreams…
18. Mobility for the Insurance businesses
• Wearables
• Big Data - situational
• Advanced Analytics
• Telematics
• Autonomous Vehicles
• Commercial UAVs (Drones)
• Aerial and Digital Imagery
• Location Intelligence
• Agent Portal Solutions
• Insurance App Stores
• Mobile Claims Apps
• Product Configurators
• Customer Experience Management
• Case Management Solutions
• Real-Time Operational Intelligence
19. Data
• Data is the new currency
• Bitcoin is data as a currency
• Big, Linked, Open, Structured, and Unstructured
• 4 V’s: volume, velocity, variety and veracity
• First, second and third-party data sources
• Collect, inspect, clean, transform, model and report data
• Application of Intelligence is essential to decision-making: relevance, pattern,
deductions and predictions
• Think all data (audio, video, biometric…) not just text or numbers
• Increasingly, money and contracts are data.
• Bitcoin/ blockchain – incontrovertable public ledger for private transactions
21. Data transformations for the
Insurance businesses
• Algorithmic Business decisions
• AI Underwriting Data Platforms
• Pricing Analytics
• Fraud Analytics
• Insurance Data Models
• Data Exchange Gateways
• Multichannel Sales Platforms
• Real-Time Operational Intelligence
• Bitcoin and Blockchain
• Muti-source collection & mining
• Social Media
• Telematics
• Location Intelligence
• Aerial and Digital Imagery
• Product Configurators
• Web-Based Rating Engines
22. Intelligence
• Artificial Intelligence and Cognitive computing
• IBM Watson, OpenAI
• NLU vs NLP; Neat vs. Scruffy (Engineers vs. Philosophers)
• Using machine learning + formal semantics
• Statistical and ontological
• Rules
• Products include offerings in a wide variety of applications:
• text analytics, text/speech translation, natural language processing, question-
answering, semantic search, sentiment analysis, predictive modelling,
• … and as said, big data mining and analytics
23. Green Fields – Blue Oceans
Intelligence is going to fit in
every part of your business
Big data and predictive modeling are core
24. Things (sensors)
• Networked processors and sensors are small, cheap, and easy to
connect
• $9 CHIP, baby cams, Nest
• They collect data and metadata
• They provide an instant real time view of the world
• This view permits control, manual or automated
• Internet of Things: Consumer and Industrial
• Identity of IT and you
• Interface: command, communications and control
26. Social
• Social is all about me, we and us
• Technology, software, and devices enable us to socialize
• Covers nearly all virtual relationships
• Characterized by
• A transitive view of the individual, identifying and making search-able his/her
network of people and things.
• “The Social Graph”
• Shared resources and information about resources
• e.g., photo sharing and collaborative curation
• Shared creation and market participation
• Matching of supply and demand, need and fulfillment
27. Social transformations for the
Insurance businesses
• Social Media platforms
• Customer Experience Management
• Web-Based Rating Engines
• Next-Generation Portals
• Wearables
• Location Intelligence
• Telematics
• Connected Home
• Big Data
• Bitcoin and Blockchain
• Agency CRM SaaS
• Multichannel Sales Platforms
• Insurance App Stores
• Mobile Claims Apps
• Product Configurators
• Mobile Agent Applications
Opportunities
28. Bots, Smart Agents, and Sims
• Bots act autonomously using rules and AI
• People are using messenger apps more than they are using social networks.
• Chatbots: Alice, Microsoft TAY and Xiaoice, Facebook
• Self-driving vehicles
• May or not have a physical body
• Will live as Cloud software
• Static and dynamic interactions
• Ethics and creepiness
29. Bots, Smart Agents, and Sims
• A Smart Agent can build models and
learn about the world.
• Machine learning
• Neural networks
• Cognitive computing
• Supervised vs. unsupervised learning
• Specialized vs. general purpose
30. Bots, Smart Agents, and Sims
• Customized to my needs and preferences
• Project VRM
• Privacy
• Negotiates and converses with other bots
• Gatekeeper
• Proxy for certain activities
• Agency
• Robots
• Echo, Pepper, Jibo
31. Bot transformations for the
Insurance businesses
• Chatbots
• Customer service
• Social, Facebook
• Sales
• Wearables
• Multichannel Sales Platforms
• Sims for Agents
• Multi-lingual
• Big Data
• Real-Time Operational
Intelligence
• Customer Experience
Management
• Agency CRM SaaS
• Sales Force Automation
• Web-Based Rating Engines
32. Visualization
• Pictures worth a thousand words
• ImageNet competition: computers better than humans at recognition
• Facial recognition
• Linked Open Data
• Virtual & Augmented Reality
• Google Cardboard, Magic Leap, Oculus,
• Pokemon Go!
• Outlets
• Facebook, Instagram, Pinterest and cloud storage
37. The Business
Challenge
• Work with IT
• Complex overlapping
systems:
• Organization, Operations,
Markets, Regulatory, Products
• Incremental vs. Global
initiatives
• Small “quick wins” versus
renovation
38. The Technology
Challenge
Marketing
technologies - 3874
Companies in 6 Top
Level Categories with
49 Sub-Categories
Insurance tech
over 1,000
companies’
offerings
• Technological change is vast
• Almost 200 emerging insurance
technology instances in our lenses
• Even in “stable” domains, like
insurance and marketing
technology, the array of choices is
vast and the combinations
overwhelming
• It will change in a couple of years
39. How can we successfully
think about this?
• Let’s get ‘out of the weeds’ in both
technology and business
• Abstract from particulars to reveal
general concepts
• Abstract from day-to-day business and
get value streams and capabilities
• Get everyone on the same page talking
the same language (vocabulary)
• Align to the principal stakeholder: the
customer
40. Develop a
transformational map
• Start with the customer, then the
business – not technology
• How do we deliver value to our
stakeholders?
• What are our capabilities?
• What is the effect of technology?
• Does it enhance existing
capability?
• Does it change how capabilities
are executed?
• Does it enable new capabilities?
41. Possible Customer-Facing Insurance Value Streams
• Value streams are activities
the company undertakes to
deliver value to stakeholders
• They show how the business
assembles capability and
information to deliver value
• They are an elementary
concept in business
architecture and a good way of
exploring technology impacts
New Product Development
Sales Management
Customer Relationship
Management
Risk Analysis
Underwriting & Claims
Management
44. Align the Inside the Outsidewith
The Organization The Customer
• Needs
• Expectations
• Motivations
• Experience
• Brand Experience
• Desired Outcomes
• Substitution
• Service Quality
• Delights
• Value streams
• Capabilities
• Processes
• People
• Process
• Technology
• Brand Promise
• Offerings
• Metrics
=
45. Continue the conversation and dig deep
• Larry W. Smith
• Mobile: 917-754-3904
• E-mail: lsmith@liveidea.com
• Twitter: @lwsmith10011
• Career: linkedin.com/in/lwsmith10011
• Writing: larrysmith.contently.com
Notes de l'éditeur
We’re going to surf
https://en.wikipedia.org/wiki/Thirty-six_Views_of_Mount_Fuji
We’re going to surf
https://en.wikipedia.org/wiki/Thirty-six_Views_of_Mount_Fuji
GE: transforming a giant ship while making way.
$260B market cap
Founded 1892 – 124 years
Simple strategy
with many moving pieces
https://en.wikipedia.org/wiki/Thirty-six_Views_of_Mount_Fuji
We think most specific technologies can be “located” within these themes.
Note: it is important that this not be understood purely in terms of mobile phones – the particular form that mobility takes today. Mobility is connectivity distributed over space. It should include any kind of network-connected devices, including IoT things.
Bullet 1: e.g., think Siri and Google, mapping, etc. Supercomputers.
Policies in both senses; a routine way of handling something and an insurance policy
The 1:1, Object-to-Concept relationship between things and their breaking down. Money is data, Contracts are data, Policies are data, Records are data, Work product is data
Short descriptions for each:
New Product Development: Researching, Conceiving, Designing, Releasing new insurance products.
Sales Management: Identifying and selling to new customers and retaining existing customers.
Customer Relationship Management: managing customer lifecycle from onboarding to termination. Managing customer communications and claims.
Risk Analysis: research and assessment of loss risk in product offerings
Underwriting and Claims: evaluate risk and exposure for customer. Resolve claims.