Artificial Intelligence for Network Telkom Group
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This presentation discusses Telkom Group's use of artificial intelligence for network management. It summarizes iNecrow, a platform developed by Adrian Indra and his team to provide valid, up-to-date inventory and capacity data across Telkom's nationwide network. The presentation outlines iNecrow's objectives to support unified inventory management, network planning using data analytics, and operations through features like automatic activation and proactive ticket handling. It also discusses obstacles faced and impacts of using AI-powered data-driven network management, including potential cost savings of 1 trillion rupiah by 2021.
Artificial Intelligence for Network Telkom Group
- 1. DevOpsDays Jakarta 2020 Artificial Intelligence For Network Telkom Group by Adrian Indra BRI Corporate University, March 12th 2020
- 2. Artificial Intelligence For Network Telkom Group DEVOPS DAYS JAKARTA - 2020 SHARINGSESSION
- 3. Should I go for it? ADRIAN INDRA RAHMAWAN MGR Data Analytics / Innovator Amoeba 840098 Biography Educational Background 2011 Master of Management (MM), UNAIR 2006 Bachelor of Computer (S.Kom), ITS WORK EXPERIENCE 2019 - Now CEO iNecrow , Amoeba 2018 - Now Mgr Data Analytics, HCIS 2017 – 2018 Mgr OLO Core Network, DSO Recognition 2019 TOP 14 Amoeba prioritas 2017 Best Inovator DSO (One Click Solution) 2013 Reward Prima APEC
- 4. Innovation “implementation of creative ideas in order to generate value, usually through increased revenues, reduced costs or both” – Jeffrey Baumgartner High Impact Cost Reduction Company Brand New Tech Problem Find solutions Promoting solutions Implementing solutions 1 2 3 4 5 TOP 20 HACKIDEA 3 CUSTOMER VALIDATION Validasi problem data NE PRODUCT VALIDATION 304 DAU of telkom.center MARKET VALIDATION 113 Bio n ogp BUSINESS MODEL VALIDATION 23 Bio cost efficiency approved
- 5. Many IT Tools Network Element Platform Problem Statement MANUALLY Variation Of Services Nation Wide Coverage TELKOM Group does not yet have an PLATFORM to guarantee INVENTORY and CAPACITY data is valid and up to date Discover Develop, Deliver Define
- 6. ObjectivesDreamVisualization Uniques Value Propostion: 1. Deep Data (Customizable) 2. Multi Manufacture (Non-Propetiary) 3. Combined Multiple Data into Information Needs iNecrow merupakan jawaban atas kebutuhan Telkom atas data INVENTORY NETWORK yang VALID dan UPTODATE
- 7. Objectives Product Management & Delivery Research & Development Data Exposure Operations & Bugs Fixing Assurance Support Monitoring Bugs Fixing Necrow Builder Network Element Discovery Customer Data Validation Other Requested Data Data Query API Factory Data Validation Business Intelligence Contract Management CRM Product Owner Project Delivery Jovice ProductRoadmap Now : CREATE AI FOR CRAWLING DATA FROM P, PE AND ME ON LIVE NETWORK Stage-1 (Q4 2019) : CREATE API FACTORY TO SUPPORT OTHERS APPS AND DEVELOP AI TO GRAB TRAFFIC DATA AND ALARM Stage-2 (Q1 2020) : INTEGRATED TO ACCESS NODE DATA AND BILLING INFORMATION Stage-3 (Q2 2020) : INECRIOW CAN SUPPORT MANY PROJECT WITH DIFFERENT NEEDS ESPECIALLY TO REDUCE COST OPERATIONS Why important? Data adalah kunci dan harta karun berharga dalam perusahaan. Dengan data inventory yang valid dan uptodate, dapat memberikan manfaat yang signifikan baik dalam sisi operasi, planning, maupun cost reduction perusahaan Impact : Pemanfaatan data inventory yang valid dapat menciptakan proses smart allocation, auto provisioning, proactive fault handling, planning based on data, dan dapat menciptakan revenue stream baru untuk perusahaan serta meningkatkan Customer Experience.
- 8. Business InitiativesBusinessModelCanvas Data as a Service Goal : 1T cost efficiency impact in 2021
- 9. Impacts 1. IT (INVENTORY) - Support Unified Inventory Management - Realtime inventory 2. PLANNING - Network Planning based on data analitic model - Single dashboard planning & deployment 3. OPERATION - Auto activation - Fraud Detection - Robotic Process Automation - Proactive ticket 4. DELIVERY SERVICE - Customer traffic forecast - Predict customer behaviour using traffic data
- 10. Lack Of Competecies INNOVATION OBSTACLE Excessive Financial Constraint Lack Of Time Lack Of Resources Culture Data & Network Security Issues Obstacles
- 12. “Competition makes us Faster; Collaboration makes us Better.” - Prof. Dr. Vladimer Botsvadze (2015)
- 13. Should I go for it? YES NO NUGRAHA HADI FOUNDER / CMO 860066 YES S AFIS DEVARA FOUNDER / /CTO 870010 ADRIAN INDRA FOUNDER / CEO 840098 W WILDAN TEAM / NERTWORK DEV ADE TEAM /DATABASE HERU TEAM / NETWORK DEV A H SORAYA TEAM /DESIGNER 1 2 3 4 5 WIDY WIBOWO TEAM / CIO 930107 TOP 20 HACKIDEA 3 CUSTOMER VALIDATION Validasi problem data NE PRODUCT VALIDATION 304 DAU of telkom.center BUSINESS MODEL VALIDATION 23 Bio cost efficiency approved MARKET VALIDATION 93 Bio n ogp Roleintheteam
- 14. EDI WITJARA CHCO TELKOM INDONESIA Business strategic mentor THENEXTBIGTHING I MADE ARYA SUDIARTANA OSM FULFILLMENT DSO TELKOM Network development mentor PRASETIYO RAHARJO AMOEBA MANAGEMENT Product development mentor BUDIHARJO DB ARCHITECT Platform architecture mentor our mentors B
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