Presentation is loading. Please wait.

Presentation is loading. Please wait.

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.

Similar presentations


Presentation on theme: "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."— Presentation transcript:

1 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

2 2

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

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

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

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)

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

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

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

10 About IBM

11 Quiz: How old is IBM? Hint: MS is 39 years old. A: 65 years B: 81 years C: 92 years D: 103 years

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)

13 Quiz: What does IBM stand for?

14

15 Quiz: What does SK mean?

16 선경 ( 鮮京 )

17 Quiz: What biz did SK start?

18 Textile ( 선경직물, 1953)

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

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

21 A little more about SK telecom First and best 1996 2000 2003 2005 World’s first CDMA 2000 1X IS-95A/B WCDMA 1x EV-DO HSDPA S-DMB World’s first Satellite DMB WiBro 2G2G2G2G2.5G3G3.5G 2006 HSUPA World’s first CDMA 2000 1x/EV-DO World’s first HSDPA with Handset HSPA+ World’s first HSUPA for 5.76Mbps World’s 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 World’s first 2014 3CA 300 Mbps

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 Ⅲ. SK Telecom R&D *eICIC: enhanced Inter-Cell Interference Coordination 22

23 What is Good R&D?

24 “If we knew what it was we were doing, it would not be called research, would it?” –Albert Einstein

25 Pasteur’s Quadrant

26 What is Good R&D? Important Problem –Real world issue Ingenious Solution –Trade Secret or Patent Biz Impact –Can make money

27 Major Trends in ICT

28

29

30 Trend 1. Network is increasingly being dominated by data

31 Bandwidth vs. response time vs. availability –SNS, multimedia, search, VR, AR More variable, dynamic, integrated –Real-time OSS/BSS

32 Trend 2. Big opportunities for big data

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

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

35 Quiz: If we stack books containing 4000 exabytes, how high will they be? Hint: Think BIG

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)

37 Trend 2. Big opportunities for big data but … Didn’t crack it yet –MNOs vs. OTTs Privacy: Customer sentiment –plus regulations Other obstacles –End-to-end encryption

38 Trend 3. IoT can provide new opportunities

39 IoT is a $19 trillion opportunity – John Chambers

40

41

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?

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

44

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

46 46 Businesses are “dying of thirst in an ocean of data” 1 in 2 business leaders don’t 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 world’s data today is unstructured 90% of the world’s data was created in the last two years 20% amount of data traditional systems leverage today

47

48 How to handle Big Data? Maybe we need “data refinery”

49 Oil refinery

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

51 How to ensure safe data analysis?

52 Privacy Homorphism: One of 10 Emerging Technologies (MIT Technical Review 2012)

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

54 What is Good R&D? Important Problem Ingenious Solution Biz Impact

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.

56 Wait, this is overwhelming…

57 About R&D Attitude (1) Develop core strength; buzzwords come and go

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

59 About R&D Attitude (2) Put enough time, effort, and attention

60 About R&D Attitude (2) Put enough time, effort, and attention

61 About R&D Attitude (3) Execution is the key.

62

63 About R&D Attitude (4) Don’t give up so easily

64 Brian Acton: Co-Founder of WhatsApp

65 So, what is your dream? Want to hear your thoughts. Thank you!


Download ppt "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."

Similar presentations


Ads by Google