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��� Top Cloud Technology Trends

Cloud Security Hybrid CloudML & AI Containers

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Cloud Security Service Marketplaces

Rapid growth in cloud adoption is driving the securing data, applications and workloads that now exist in cloud

Security services from dedicated hardware solutions

to cloud-based SaaS Model

Common Services

ü E-mail Security ü Identitiy and Access Management

ü Web Security

Main Drivers1

ü Cloud Native ü Reduced effort

ü Cost Savings

Most Preffered Tech1.

ü Data Encyryption ü Network Encryption

ü Reduced footprint

ü SIEM

Key findings for Cloud Security Services;

1Source: SDxCentral

4

The continued rise of containers

Containers provide flexibility and low cost compared to VMs.

Application containers will be a $2.7bn market by 2020, representing a small but high-growth segment of the Cloud-Enabling Technologies market

Source: sdxcentral.comSource: 451 Research

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CAGR: 40.3%2015-2020P

( $) $ $ $

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Investment Plan in Cloud Deployment Options

ü Private Cloud still a priority for enterprises

ü Both Public and Private cloud provides benefits to enterprises

ü Hybrid adoption is now a reality for most enterprises

Source: A commissioned study conducted by Forrester Consulting

Hybrid Cloud at the center stage of IT opportunities and growth

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23 1

87% keep or increase for Private Cloud

88% keep or increase for Public Cloud

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Current landscape of cloud AI technologies, two major groups:

• AI Cloud Services Offering:

Microsoft

• Cloud Machine Learning (ML) Platforms:

Artificial Intelligience(AI) is building a Smarter Cloud

Larger companies and industries that adopted digital technologies in the past are more likely to adopt AI.

Source : McKinsey Source: Forbes, ComputerWorld,TechBeacon, McKinsey

Banks, Financial services and healthcare are the leading non-core technology verticals that are adopting AI.

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HEALTHCARE

$45 billion annual cost saving

FINANCE$34 - $43 billion annual cost

savings & new revenue

AGRICALTURE$20 billion

Addressable market

RETAIL$41 billion

annual new revenue

AI – Opportunity Size by Major Industry (2025E)

Artificial Intelligence Ecosystem

Source: Goldman Sachs, “Profiles in Innovation: AI” (November 14, 2016).

AI Revenue, Top 10 Use Cases, World Markets –2025($ in millions)

AI and ML applications have implications for benefits and disruptionacross every industry

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Source: Tractica, "Artificial Intelligence Market Forecasts" (September 2016).

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Global Healthcare AI Market Growth(Billion $)

2016-2024P CAGR: 39.4%

Source: Markets and Markets;Global Market Insights, Inc

ü Global expenditures on healthcare: 9.0% of total GDP in 2000 to 9.9% in 2014

ü The shift towards an aging population strains the current healthcare system

Adoption of AI in research areas

Reduced workload and increased quality of care

Need to reduce increasing healthcare costs

Growing demand for precision medicine

Shortage of health workforce to meet patient demand

Key Growth Drivers in the Healthcare AI Market

Growing number of cross-industry partnerships

Global Market Insights, “Healthcare AI Market Size, Competitive Market Share & Forecast, 2024” (2017)

Health Value Chain is moving from a labor driven and technologyenabled model to a digital driven and human enabled model

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Hospitals Clinics (GP & Specialists)

Allied Healthcare Providers

Health Insurance Companies

Pharma-ceutical Companies

Consumers / Patients

Government

1. Bed Capacity Planning (Across Hospital Network)

2. Hospital Quality Investigator (Early Warning Signs / Detection)

3. Decision Support System for Radiologists

4. Hospital Clinical Research Platform

5. Intelligent Assistant Service (for Doctors)

6. Chronic Disease Management Decision Aids

7. Insurance Cost Control

8. Population Consumption Data for Rx Drugs

9. Clinical Trial Data Collection & Analysis

10. Patient Decision Aids for Triage, Self-Diagnosis, Treatment options. Intelligent Hospital / Clinic Guidance

11. Government Healthcare Infrastructure Utilization & Cost Optimization

12. Healthcare Access for Population

13. Chronic Diseases Analysis and Management

14. Drug Consumption & Price Controls

Healthcare Industry Participants à

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Intelligent Assistant Service for Family Doctor Benefits

v TOP1 diagnostic compliance rate > 70% v TOP3 diagnostic compliance rate > 80%

v Improve diagnosis efficiency by 40%

v Reduce misdiagnosis rate by 20%

01 Diagnosis Accuracy

Diagnosis Efficiency02

Treatment Normalization03

Family Doctor

HospitalResource

Common disease

suggestion

Hospital Healthcare

Data

Diagnosis Assistant

Treatment Assistant

Information Assistant

Rare disease warning

Drugs Suggestion

ExamSuggestion

Similar Case

EHR info

Related Research Articles

Healthcare Knowledge

Base

Hospital Information System

Solution

v According to Symptoms and Exam. results,v Reasoning diagnosis results, warning rare

disease based on Healthcareknowledgebase

v Reasoning exam. methods or possible drugsbased on Healthcare Knowledge base and

healthcare recordsv Verifying medical orders

v Compliant with real-time requirements

v Based on healthcare records of one patient, providing similar EHR Cases

and related research Articles

01 Diagnosis Assistant

Treatment Assistant02

Information Assistant 03

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Intelligent Hospitalization Guidance Platform Self-diagnose01

Intelligent Hospitalization Guiding02

Registration and feedback collection03

v According to the symptoms or disease inputted v Based on the medical knowledgebase and specialized algorithms

v Recommend suitable departments according to the real state of the hospitals

v Seamless connectivity with third-party HIS, making appointment and registration according to the result of diagnosis

v Feedback collection of visits

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