1. Look back the last decades 2. What are required to CSPs? 3. How should we tackle the #PTC18

Transcription

1 1. Look back the last decades 2. What are required to CSPs? 3. How should we tackle the issues?

2 40 years ago..

3 Today Every Business is a Digital Business 1970s 1980s 1990s 2000s 2010s

4 Transformation of NTT (in K) Privatization PSTN+ISDNV 2005 MOBILE > FIXED Re-organization NTTCom launched Global business Mobile FLETS (Optical + ADSL) Launched Mobile phone service 1999 IP Phone Launched Mobile phone service

5 Transformation of the World Zettabytes Zettabytes 100 Zettabytes pdf

6 World Population in ,000,000 1,000,000 People

7 World Population in ,578,000,000 1,000,000 People

8 World Population in ,526,000,000 1,000,000 People

9 World Population in ,127,000,000 1,000,000 People

10 World Population in ,481,800,000 1,000,000 People

11 World Population in ,551,000,000 1,000,000 People

12 Transform. Transcend. Changes in the market Our Future (Digital Transformation) Dynamic changes in the market = Opportunities Disruptive IT players Bimodal strategies in play Technology evolution (AI, IoT, etc.) Key is IT. Business process innovation Business model development

13 Transform. Transcend. 1. Pursue highly-reliable and high-quality infrastructure Develop flexible and agile services with cutting-edge technologies (SDN, AI, IoT, etc.) Partnership Contribute to our customers digital transformation

14 1 Secure and reliable business infrastructure Pursue highly-reliable and high-quality infrastructure

15 Secure and reliable business infrastructure Submarine Cable Datacenter One-stop operation Diligently pursue quality and reliability

16 2 Support business growth of customers Develop flexible and agile services with cutting-edge technologies

17 Software Defined Network A B Public Cloud Private Cloud C Software-Defined Exchange Software-Defined WAN API Managed Service DC Software -Defined LAN Security

18 Use case Circuit (Suzuka, Japan) McLaren Technology Center (Woking, UK) SD-WAN

19 AI penetration is becoming real. IBM Deep Blue IBM Watson Google deep Q-network Google AlphaGo Google Home

20 Creating new values Improve process outcome from in chemical plants

21 Use Case Gas X concentration (Product quality) Gas X concentration (Measured) Improve process outcome from chemical plants Material A Material B Material C Gas product Reactor Gas Concentration Temperature A Temperature B Temperature C Gas X concentration (Predicted) Prediction by AI 51 types of Process data Trained Plant Models Deep Learning Error at the plant exists when two values differ AI learns the plant model by analyzing all data Temperature, Pressure, Flow,

22 3 Create and deliver new values by combining strength of CSPs and partners Partnership

23 CSP Partner-A AI (Deep Learning) Customer (Manufacturer) Creating new business model with enterprise partners: Infrastructure (NW, DC) Partner-B Partner-C App Development FA System FA System Partner-D NW installation, O&M FA System

24 Creating new values with other CSPs: Kaizen of service operation Settle goal KPI with partner carries Enhance each measure rooted Spread laterally excellent measures Train engineers and improve their skills PDCA image of Kaizen activities Challenges among partner carriers Validation/action items CSP Partner carriers Conduct measures Check & Review (partner carriers)

25 [Reference] Average Outage Ratio Average Outage Ratio(%) Thai Korea US Philippines Australia1 Australia2 France China India

26 Creating new values with CSPs: Kaizen of service operation

27 Kaizen of service operation

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34 MY MOTTO If everything seems under control, you're not going fast enough. Mario Andretti

35 Towards the Future