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Technology Trends and Issues in ICT Research & Development or How to achieve your dream? Lee Kang-Won, PhD. ICT Synergy R&D Dept. September 2014 Slide 2 2 Slide 3 Table of Contents Introduction About Me About IBM, SKT What is good R&D? Major trends in ICT Possible research directions About R&D attitude Slide 4 About Me Joined SKT (April 2014) Joined IBM Research as RSM (August 2000) Ph.D. Computer Science, UIUC (2000) Thesis: Multicast for Heterogeneous Packet Flows Kookbi Scholarship from Korea Government C. G. Gear Outstanding Graduate Student Award KFAS Scholarship Military Service at ROK Air Force (1994 1996) M.S. and B.S. Computer Engineering, SNU Merit Scholarship Student President Magna Cum Laude 4 Slide 5 Technical 100+ publications in premier journals and conferences IBM Master Inventor KSEA Engineer of the Year (2013) ACM Distinguished Scientist & Senior Member IEEE Senior Member IBM OTAA (TPC), RDA (PMAC, ITA) Book Author on Policy Technology (w/ D. Agrawal et al.) Keynote speaker: IEEE Sarnoff 2012 Invited talks: UIUC, Columbia, Samsung, SNU, KAIST, 5 Slide 6 Projects Managed - ITA Program Summary Fundamental research in Network Science IBM-led consortium funded by US Army and UK MOD 10 Year Program (5 + 5) Funding Structure Basic research: $100M total Transition contracts additional 6 ITA Technical Scope Tech Area 1: Network Theory Tech Area 2: Security Tech Area 3: Sensor Information Processing Tech Area 4: Coalition Decision Making My Role: Technical Area Leader for Tech Area 1 (Network Theory) Slide 7 Projects Managed Cloud Computing Funding Agency: NIST 3 year (2010 2012) Goal Develop algorithms and mechanisms for management of large scale cloud computing systems Team IBM: ITW, BAMS, STR, SWR Cornell University Output Science: 15 papers published top venues (INFOCOM, PODC, Allerton, SMPTS, AISTATS, KDD, CLOUD); several patents Biz Impact: Anomaly Detection (TASP GA) Predictive Analysis (NSN demo, Streams GA) Standard Impact: SPEC Cloud Benchmark 7 Slide 8 8 Technology Transfer: IBM TPC (w/ Almaden) Background Configuration errors are one of the leading causes of SAN disruptions and maintenance costs Configuration Checking Utility for TPC v3.2 Validates the correctness of SAN configuration by checking it against best practices and policies from field practitioners Diagnoses across multiple devices and hardware/software /firmware components Outstanding Technical Achievement Award, 2008 Still available in Version 5 (4:30)Version 5 Before After Warning: host can see both tape and disk Slide 9 Tech Transfer: Spatiotemporal Analytics Motion processing: Geofencing, Hangout, Map matching, Compression Fast Indexing for query: New algorithm using pr efix matching; efficient for KV stores 10x 1000x speed up depending on applications Full Earth operations: handles large objects (e.g., cargo ship, satellites), any location (e.g., arou nd poles) Transferred to SPSS, G2, Informix In plan for DB2, BigInsight, Streams Applications: Connected cars, (1:00) Insurance, Location-specific monitoring, Digital billboards, e tc.Connected cars 9 9 Slide 10 About IBM Slide 11 Quiz: How old is IBM? Hint: MS is 39 years old. A: 65 years B: 81 years C: 92 years D: 103 years Slide 12 Quiz: How old is IBM? Hint: MS is 39 years old. A: 65 years B: 81 years C: 92 years D: 103 years (founded in 1911) Slide 13 Quiz: What does IBM stand for? Slide 14 Slide 15 Quiz: What does SK mean? Slide 16 ( ) Slide 17 Quiz: What biz did SK start? Slide 18 Textile ( , 1953) Slide 19 A little more about IBM In 2012 No. 2 largest employer in the U.S. No. 4 largest in terms of market cap No. 1 company for leaders (Fortune) No. 2 most respected company No. 1 green company Slide 20 IBM Research 12 labs worldwide Milestones DRAM, HDD Fractal FORTRAN RISC architecture Relational DB Deep Blue Watson (1:00, 2:51, 6:30, 9:40)Watson 5 Novel Prizes 4 Turing Awards Slide 21 A little more about SK telecom First and best 1996 2000 2003 2005 Worlds first CDMA 2000 1X IS-95A/B WCDMA 1x EV-DO HSDPA S-DMB Worlds first Satellite DMB WiBro 2G2G2G2G2.5G3G3.5G 2006 HSUPA Worlds first CDMA 2000 1x/EV-DO Worlds first HSDPA with Handset HSPA+ Worlds first HSUPA for 5.76Mbps Worlds first WCDMA R4 Domestically First HSPA+ 2007 2010 LTE Provide new experience to customer with high-level service such as high-rate data, video telephony and Global roaming 4G 2013 2011 LTE-A Data network Paradigm Shift Domestically First LTE Worlds first 2014 3CA 300 Mbps Slide 22 Focus Areas NETWORK TECHNOLOGY INFORMATION TECHNOLOGY CONVERGENCE TECHNOLOGY HEALTHCARE -LTE/LTE-A, 5G, -Location-based service -Context-awareness -Network-enabled cloud -Big data analytics -Internet of Things -Security -In-vitro Healthcare -Personalized healthcare -Storage technologies -Quantum Crypto -Video/audio analytics . SK Telecom R&D *eICIC: enhanced Inter-Cell Interference Coordination 22 Slide 23 What is Good R&D? Slide 24 If we knew what it was we were doing, it would not be called research, would it? Albert Einstein Slide 25 Pasteurs Quadrant Slide 26 What is Good R&D? Important Problem Real world issue Ingenious Solution Trade Secret or Patent Biz Impact Can make money Slide 27 Major Trends in ICT Slide 28 Slide 29 Slide 30 Trend 1. Network is increasingly being dominated by data Slide 31 Bandwidth vs. response time vs. availability SNS, multimedia, search, VR, AR More variable, dynamic, integrated Real-time OSS/BSS Slide 32 Trend 2. Big opportunities for big data Slide 33 Quiz: How much data generated between 1993 2012? Hint: 5 exabytes* generated between 3000 BC 2003 * 1 Exabyte = 10^18 bytes = 1 M Terabytes Slide 34 Quiz: How much data generated between 1993 2012? Hint: 5 exabytes* generated between 3000 BC 2003 Answer: 4000 exabytes * 1 Exabyte = 10^18 bytes = 1 M Terabytes Slide 35 Quiz: If we stack books containing 4000 exabytes, how high will they be? Hint: Think BIG Slide 36 Quiz: If we stack books containing 4000 exabytes, how high will they be? Hint: Think BIG Answer: 80 roundtrip times between Earth and Pluto (160 x 5.9B km) Slide 37 Trend 2. Big opportunities for big data but Didnt crack it yet MNOs vs. OTTs Privacy: Customer sentiment plus regulations Other obstacles End-to-end encryption Slide 38 Trend 3. IoT can provide new opportunities Slide 39 IoT is a $19 trillion opportunity John Chambers Slide 40 Slide 41 Slide 42 Trend 3. IoT can provide new opportunities but Innovation is happening elsewhere Nest, drones, watch, self-driving cars Selling circuits vs. solution? What about security and privacy? Slide 43 Direction 1. Virtualization to the rescue No constraints from physical assets NFV, SDN, Network-enabled cloud Capacity breathing Auto-scaling, self-scaling Predictive Dynamic At any granularity, at any time scale Point-to-point, multicast Based on usage Slide 44 Slide 45 Direction 2. Mining the Data More than just big data Synergy between MNO & OTT? Mining, sieving, refining, distilling What is the purpose? What are you looking for? Intelligence, Insight New tools Graph DB, column store, big table, stream processing Privacy-preserving, delegated computing Slide 46 46 Businesses are dying of thirst in an ocean of data 1 in 2 business leaders dont have access to data they need 83% of CIOs cited BI and analytics as part of their visionary plan 2.2X more likely that top performers use business analytics 80% of the worlds data today is unstructured 90% of the worlds data was created in the last two years 20% amount of data traditional systems leverage today Slide 47 Slide 48 How to handle Big Data? Maybe we need data refinery Slide 49 Oil refinery Slide 50 Data refinery Raw Data Structur ed Data Unstruct ured Data Social Net Data User Sentiment Network Intelligence User Intent Context Data Spatiote mporal Purchase History CDR Billing Slide 51 How to ensure safe data analysis? Slide 52 Privacy Homorphism: One of 10 Emerging Technologies (MIT Technical Review 2012) Slide 53 Direction 3. Rich IoT Extreme scale MNO has a unique peering point Sees traffic, location, ubiquitous Can provide value-added solutions to customers Built-in analytics, security, AI AaaS, SaaS, AIaaS Slide 54 What is Good R&D? Important Problem Ingenious Solution Biz Impact Slide 55 What is Good R&D? Important Problem Ingenious Solution Biz Impact Solves the Problem Completely Google vs. Alta Vista, Lycos, Bing, etc. Facebook vs. MySpace, Cyworld, etc. Amazon vs. Best Buy, Walmart, etc. Slide 56 Wait, this is overwhelming Slide 57 About R&D Attitude (1) Develop core strength; buzzwords come and go Slide 58 Buzzwords come; buzzwords go Big data data mining, parallel computing, dist. computing IoT device, processor, sensor, communications Cloud system software, virtualization, optimization, networks Cognitive computing AI, machine learning, neural network, NLP Slide 59 About R&D Attitude (2) Put enough time, effort, and attention Slide 60 About R&D Attitude (2) Put enough time, effort, and attention Slide 61 About R&D Attitude (3) Execution is the key. Slide 62 Slide 63 About R&D Attitude (4) Dont give up so easily Slide 64 Brian Acton: Co-Founder of WhatsApp Slide 65 So, what is your dream? Want to hear your thoughts. Thank you!