Essential Challenges for the Digital Transformation. Prof. Dr. Christoph Meinel Scientific Director CEO Hasso Plattner Institute, Potsdam

Transcription

1 Essential Challenges for the Digital Transformation Prof. Dr. Christoph Meinel Scientific Director CEO Hasso Plattner Institute, Potsdam

2 The Digital Transformation Affects All Aspects of Our Life DAILY LIFE CONNECTED WORLD EDUCATION MOBILITY WORK BUSINESS SAFER & FASTER INFRASTRUCTURE

3 The Digital Transformation Changes our Individual and Social Live Digital transformation refers to the fundamental changes in all branches of human society that are associated and pushed by digital technologies Digital transformation affects our individual life in all its facets as well as all segments of our social life Science Art Business Government Digital Transformation Commnication Traffic Medicine

4 The Digital Transformation is Driven by the Digital Revolution Digital revolution, also known as forth industrial revolution is the change from analog technology, mechanical technology, electronical technology to digital technology Change of Technologies digital electronica l mechanica l analog

5 Different Technologies are Driving the Change Quelle: WEF

6 Each Entity May Become Smart Digital technologies allow to digitally wrap each entity in the world, whether it is a human or any kind of subject or object This digital wrap, opens a powerful second channel for interactions: beside of the traditional physical channel a new digital channel is available over the Internet It become possible to interact with any entity remotely via its digital wrap, no direct physical touches are needed. But contrary to physical touches digital remote interactions are possible over any distance, and almost with speed of light

7 The Key Technology: Internet of Things IoT

8 The Internet of Things Allows us to Dream of a Smart World Prof. Dr. Ch. Meinel Director CEO Source:

9 The Internet of Things Mirroring the Physical World into the Digital World

10 The Internet of Things: e.g. Smart Home

11 The Internet of Things: E.g. Smart Cities

12 The Internet of Things: E.g. Smart Grids

13 The Internet of Things: E.g. Smart Factory / Industry 4.0

14 Everything Leads to Smart World The Internet of Things: E.g.

15 Digital Transformation is Driven by Various IT-Technological Innovations Big Data Cloud Security Mobile

16 Big Data Nature of Big Data Data amounts in sizes of tera-, peta and Exabyte Structured / unstructured Heterogeneous Sources: Sensor data Various Log-Files Camera and/or microphone data RFIDs Transaction data Consumer data, maintenance data, customer interaction

17 Cloud Computing Characterized by: Unlimited processing resources... Usage without planning... Pay for Use Enabling Technologies: Virtualization Multicore In-Memory technology

18 Digital Transformation Not Only New Technologies But Also New Soft Factors Become Game Changing

19 Core Asset: Creativity and Innovation Comes from Teams In a networked world, it is no longer sufficient to focus on the knowledge of the individual. We need to learn to think and work collaboratively in multidisciplinary teams to activate new sources of ideas and inspiration in order to create something new.

20 Design Thinking A Human-Centered Innovation Culture DESIGN THINKING Human centered approach to innovation Toolkit to integrate the needs of people, the possibilities of technology, and the requirements for business success

21 Design Thinking The Three Core Elements

22 New Educational Challenges Digital competencies as part of the school education More professional training after the original education required o One qualification or skill profile until the retirement is impossible o Life long learning a must Universities o o Need to become life long partner in education Need to open digital channels in education

23 Massive Open Online Courses as Mean to Offer New Knowledge and Life-long Learning MOOCS TO TEACH Internet technologies and -systems Big data analytics and cloud computing Machine-to-Machine-interaction Software architecture

24 Digital Transformation Needs More Entrepreneurship

25 The Hasso-Plattner-Institute Preparing Next Generation and Society for the Future

26 HPI Excellence Center for IT-Systems Engineering LEADING UNIVERSITY INSTITUTE IN IT EDUCATION AND RESEARCH Top ranked (CHE) university programs in computer science in German speaking countries 500 bachelor and master students in IT-Systems Engineering 11 IT department and School in Design Thinking With 130+ PhD students strong focus on research D-School offers an educational program in Design Thinking for 240 students

27 HPI Teaching: University Programs in IT-Systems Engineering Since 2008, top rank in the German computer science faculties CHE ranking...

28 HPI Online Teaching: openhpi The MOOC Platform of HPI Interactive, web-based learning any time & every where No access restrictions: open for all Active openhpi learning community: forum, Learning groups & peer assessment More than course enrollments from 180+ countries and certificates Awards: #openhpi

29 HPI Concerns and Focuses on IT-Research with Practical Relevance Our focus Progress in hardware development Advances in data processing (Software) Complex Enterprise Applications

30 HPI Research: The HPI Professors

31 Enterprise Plattforms Internet Technologien & Systeme Human Computer Interaction Comuptergrafische Systeme Algorithm Engineering Systemanalyse & Modellierung Software Architekturen Informationssysteme Betriebssysteme & Middleware Business Process Technology Knowledge Discovery & Data Mining Kooperationsprofessur GFZ HPI Research: The Research Departments IT Systems Engineering Direktor & CEO

32 Designing and Piloting the Superfast In-Memory Data Base SAP HANA

33 Merge HPI Scientists and Students Have Developed In-Memory Database Sanssouci SAP HANA for enterprise applications Developed at the chair of Prof. Hasso Plattner Main idea: Data permanently reside in main memory Main Memory is the primary persistence Only one optimization objective: main memory access Cache- optimized algorithms and data structures Interface Services and Session Management Query Execution Metadata TA Manager Active Data Main Store Column Column Data aging Combined Column Time travel Differential Store Column Column Combined Column Logging Indexes Inverted Object Data Guide Recovery Distribution Layer at Blade i Main Memory at Blade i Log Non-Volatile Memory Passive Data (History) Snapshots

34 In-Memory Data Management. IT Innovation With Roots In the HPI In-Memory Database is single source of truth for all relevant data Architecture is based on four pillars: Multi-Core Computing In-Memory Column and Row Store Insert-only Allows real-time calculations of Big Data, including: Management decisions, gene analysis, network monitoring...

35 HPI Future SOC Lab: Industry Partners Provide Latest High Computing Systems for Research

36 HPI Future SOC Lab: Unique Academic IT Infrastructure

37 HPI Future SOC Lab Supercomputer in Direct Access Highlights Hewlett Packard Converged Cloud Core Cluster mit 25 TB RAM und 75 TB SSD SAPs In-Memory Datenbank HANA Server with up to 2 TB RAM and up to 64 Cores Newest EMC² Storage Systems Systems Fujitsu RX600 S5, RX900 S1, 32 & 64 cores, 1024 GB RAM Hewlett Packard DL980 G7, 64 cores, 2048 GB RAM EMC² Celerra NS-960 & VNX 5700, 130 TB HDD, 6 TB SSD NVIDIA Tesla K20X: Cores Intel Xeon Phi: 120 Cores

38 Some HPI Research Highlights: Potentials of In-Memory in Personalized Medicine

39 Personalized Medicine Multicore und In-Memory Technologies Patient has cancer Conventional therapy Treatment decision Personalized medicine Today Supported by HPI DNA sequencing Quantity: 3.2 million base pairs Data size: 1-20 GB Analysis of genomic data Quantity: Known mutations: 80M Different genes: 20k-25k Proteins: 50k-300k Data size: Orientation: 5-10 GB Variants: GB Duration (days)

40 HPI In-Memory Genome Project Challenge of Gene Analysis Analysis of gene data Dependent on Orientation and Variants CPU performance Comment analysis in global DB Storage capacity Duration Days Weeks HPI Minutes Real time In-Memory Technologie Multi-Core Partitioning & Compression

41 HPI In-Memory Genome Project Real-time Analysis of Genome Data

42 Some HPI Research Highlights: Potentials of In-Memory in Cyber Security Analytics - REAMS

43 Based on In-Memory Technology: Real-Time Security Analysis and Monitoring Cyberattacks exploit (known) vulnerabilities in hardware, OSs and applications The continuous real-time analysis of the various security sensor data makes it possible to detect cyberattacks and to react in real-time time Log files (OS/App), scanning reports, virus firewall warnings, IDS alerts, monitoring logs from different sources, Post-processing (filtering, compressing ), aggregation, clustering, correlation, visualization Through correlation detection of complex attack scenarios is possible Due to a continuous live analysis immediate responses are possible

44 HPI-REAMS: HANA-based Architecture REAMS: Real-Time Event Analysis and Monitoring System Combination of IDS and SIEM Based on SAP HANA Platform fast in processing huge amount of log data sub-second, simple and complex queries HANA analytics capabilities - Predictive Analysis Library (PAL) and R integration Integration of other complex analytics algorithms

45 Based on In-Memory Technology: HPI REAMS Real-Time Security Analysis and Monitoring System

46 Some HPI Research Highlights: Potentials of In-Memory in Social Media Analytics

47 Why do we need to analyze Social Media? What happens within a single internet minute? tweets Facebook updates blog posts 3 people spend nearly 9 hours a day online 4 29% of global population are active social media users,ca. 60% of North America, 50% of China, 35% of Germany

48 How Complex is Social Media? Unstructured Data is everywhere Only personal information like name, birthday, likes and interests are structured Main information is unstructured and buried in Huge amount of posts and interactions Friendship networks Pictures and videos

49 Analysis of Big Data from Social Media by Means of In-Memory Technology Content-related analysis: Content filtering Opinion detection (opinion shaping) Trend analysis ( buzz, hot topics ) Network-related analysis: Information diffusion analysis / infection tree Communities / blog rings / clusters Rankings

50 Based on These Principals we have designed a Blog Search Engine: blog-intelligence.com

51 Industry Use Case nexenio Lead Generation Flow Listen to Sources Knowledgebase for finding discussions Product 1 Product 3 Product 2 Product 4 Social Media Suite

52 Industry Use Case nexenio Lead Inbox

53 Many Thanks for Your Interest! Contact: Prof. Dr. Christoph Meinel hpi.de/meinel

54 tele-task: Powered by HPI. Lecture Portals at itunesu tele-task.de-portal 468 lecture series 5,680 Lectures 23,000 Podcasts 2,176 Lecturer 35 million clicks itunesu 134 collections 11,077 items 5,2 million downloads Chart 54

55 tele-task: Powered by HPI. elearning at itunesu and Co. Nearly 1% of all downloads at itunesu in 2011 was HPI material Chart 55

56 openhpi: MOOC-Platform of HPI. New: The Social Interaction of Learners MOOCs show: E-Learning does not have to be lonely! MOOC Massive Open Online Course High number of participants, otherwise it doesn t work As a learning event, with free and unrestricted access Web-based and interactive Exciting variety of topics from the field of IT at openhpi Chart 56

57 openhpi: MOOC-Platform of HPI. Development and Start Through our activities and expertise in e-learning and tele-education, we were able to set up an Internet Platform and to offer MOOCs Already in 2012 the HPI could offer first MOOCs in Europe at the HPI MOOCplatform open.hpi.de (Hasso Plattner s lecture with the topic In-Memory Data Management a technology which was developed here at HPI) Chart 57

58 openhpi: MOOC-Platform of HPI. Course Interface The HPI Chart 59

59 openhpi: MOOC-Platform of HPI. A Few Statistics So far Over 250,000 course enrollments, app. 35,000 certificates 14.4% of all enrollments are terminated with a qualified certificate 53% of all active users finish with a qualified certificate Per course average of 3,000 posts in forum Over 1.35 million given self-tests and more than 230,000 submitted homework Chart 60

60 openhpi: MOOC Platform of HPI. Variety of Topics 48,070 participants 15,257 participants 10,565 participants certificates 4,261 certificates 3,632 certificates In Memory Data Management Internetworking with TCP/IP Security in the Internet 7,232 participants 1,639 certificates 15,610 participants 4,654 certificates 9,468 participants 2,609 certificates Data Management with SQL Note: Cumulated figures, participants at the end of the course Learn how to program in a playful way! Business Process Modeling and Analysis Chart 61

61 HPI Future SOC Lab Direct Access to Supercomputers

62 HPI Future SOC Lab Chart 63

63 HPI Future SOC Lab Open up-to-date computing platform for research Access to the latest computer technology for academic research in the area of in-memory and multi-core technologies Industry partners provide the latest systems shortly before launch for academic research Partners: Fujitsu, Hewlett Packard, EMC², SAP, Organization: Every half year CfP Resource allocation by Steering Committee of representatives of the HPI and industry sponsors So far: 200 projects from 40 institutions and 8 countries The HPI Chart 64

64 HPI Future SOC Lab Supercomputer in Direct Access Highlights Hewlett Packard Converged Cloud Core Cluster mit 25 TB RAM und 75 TB SSD SAPs In-Memory Datenbank HANA Server with up to 2 TB RAM and up to 64 Cores Newest EMC² Storage Systems Systems Fujitsu RX600 S5, RX900 S1, 32 & 64 cores, 1024 GB RAM Hewlett Packard DL980 G7, 64 cores, 2048 GB RAM EMC² Celerra NS-960 & VNX 5700, 130 TB HDD, 6 TB SSD NVIDIA Tesla K20X: Cores Intel Xeon Phi: 120 Cores The HPI Chart 65

65 HPI School of Design Thinking Training Innovators at Stanford and Potsdam

66 Can One Train Innovators? Design Thinking at HPI The Stanford Design Thinking method provides a successful approach to educate innovators There are two HPI Schools of Design Thinking d.school at Stanford University D-School at HPI in Potsdam Prof. David Kelley (Industrial Design) Prof. Larry Leifer (Mechanical Engineering)

67 Design Thinking at HPI. Innovators Can Be Trained Chart 68