INTERNET OF THINGS CAPACITY BUILDING CHALLENGES OF BIG DATA AND PLANNED SOLUTIONS BY ITU. ICTP Workshop 17 March 2016

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1 INTERNET OF THINGS CAPACITY BUILDING CHALLENGES OF BIG DATA AND PLANNED SOLUTIONS BY ITU ICTP Workshop 17 March 2016 Halima N Letamo Training and Development Officer International Telecommunication Union

2 About ITU OUTLINE ITU Definition of IOT A Connected World Connected people IOT and Big Data Connected things and big data Big data and development Big Data and Emerging Jobs Closing the Skills Gap What ITU Does ITU Work Conclusion

3 ABOUT ITU Established in ITU Three Sectors: Radiocommunication Standardization Development 193 Member States, 750+ Sector Members

4 DEFINITION OF IoT IN ITU A global infrastructure for the information society, enabling advanced services by interconnecting (physical and virtual) things based on, existing and evolving, interoperable information and communication technologies. Recommendation ITU-T Y.2060

5 A CONNECTED WORLD Nearly 15B connections Key Growth Drivers 4 fold speed increase Source: CISCO More devices Faster Broadband speeds More internet users More rich media content 3b internet users 1M video minutes per second 5

6 IOT AND BIG DATA Definition of Big Data datasets whose size is beyond the ability of typical database software tools to capture, store, manage, and analyze This definition is intentionally subjective and incorporates a moving definition of how big a Source: McKingsy report dataset needs to be in order to be considered big data ITU members have approved the first ITU standard on Big Data (approved 6/11/2015). The international standard details the requirements, capabilities and use cases of cloud-based Big Data as well as a high-level system context view and its relationships with other entities Recommendation ITU-T Y.3600 Big data cloud computing based requirements and capabilities International Telecommunication Union

7 IOT AND BIG DATA Related or two sides of the same coin? Is this statement about Big Data or the Internet of Things? 1. Every minute, we send 204 million s, generate 1.8 million Facebook likes, send 278 thousand tweets, and upload 200 thousand photos to Facebook million RFID tags (used to capture data and track movement of objects in the physical world) were sold in By 2021, it s estimated this number will increase to 209 billion 3. The amount of devices that connect to the internet will rise from about 13 billion today to 50 billion by The industry is expected to grow from US$10.2 billion in 2013 to about US$54.3 billion by Source SAS best practices

8 IOT GENERATES BIG DATA IoT and Big Data are closely connected. Data generated by IoT s is characterized by:

9 Connected Things and Big Data 14.8b things connected in 2015 out of a possible 1.8 trillion Estimates: Data on cloud Data on traditional data centers-2018 Data from Internet of Everything 2018 Deployed IoT Devices ZB 403 ZB 26B 6.5ZB

10 BIG DATA ON DEVELOPMENT Need for Effective global standards: development of standards Potential for security breaches: New policies, regulation, security focus Increased pressure on data Centre networks: provision of infrastructure Emerging jobs and new skills requirements: develop skills and promote innovation 1

11 BIG DATA AND EMERGING JOBS

12 NEW SKILLS REQUIREMENTS (WHERE)

13 NEW SKILLS REQUIREMENTS (WHICH JOBS) Source Forbes/Tech

14 NEW SKILLS REQUIREMENTS (WHAT SKILLS) Big data Job title Academic background Skills required Data scientists Maths/statistics Artificial intelligence, language processing, data management Data architects Programming/business intelligence Creativity and persistence Data visualizers Technologists/analytics communication, adaptability, artistic skills Data change agents Six-sigma Communication skills Data engineer/operators Designers/big data infrastructure managers Analytical skills and project management Source: computer world

15 CHANGING SKILLS REQUIREMENTS The hybrid professional with technical proficiency and functional business aptitude Mobile skills Digital specialist /Analytics The Big data era professional Social media skills Business strategy and leadership

16 CLOSING THE SKILLS GAP (INDUSTRY RESPONSE) IBM TerraEchos University of Montana partnership Analytics curriculum designed to teach analysis of big data, how to use smart meter data to help consumers use energy more efficiently, consumer sentiments from social networks, Participants have access to IBM unique software, project focused case studies, IBM thought leaders output is a mix of technical and problem solving skills needed for big data IBM working with more than 200 schools to strengthen analytics curricula

17 CLOSING THE SKILLS GAP (INDUSTRY RESPONSE)

18 CLOSING THE SKILLS GAP (ACADEMIA RESPONSE) Data analytics certificates up to Masters degrees Professional development programmes Online programmes The universities offer credit based certificate programs. Once completed, those credits can also be applied to the Master s degrees. Undergraduate programmes are also being developed Targets professionals with a more-thanbasic familiarity with computer science, programming and mathematics. The programmes range from one week long courses to 3 year programmes. online data science programmes that will lead to a certificate in Big Data or a certificate that has a very heavy emphasis on Big Data applications and analytics.

19 CLOSING THE SKILLS GAP (ACADEMIA RESPONSE) Academic Institution Aegis School of Business, Data Science & Telecommunication (India) Big Data Qualification Post Graduate Program in Business Analytics and Big Data Barcelona Graduate School of Economics (Spain) Master in Data Science Ben-Gurion University of the Negev (Beer-Sheva, Israel) MSc in Information Systems Engineering with focus on Data Mining and Business Intelligence Central Connecticut State University (USA) Master of Science in Data Mining Data Science Tech Institute (Paris and Nice, France) MSc in Big Data Analytics IE University (Madrid, Spain) Master in Business Analytics and Big Data Università di Pisa (Italy) Master in Big Data 30 universities in China in partnership with IBM including Beijing institute of technology, Peking university, South China university of technology Undergraduate and graduate programmes for data scientists Chinese University of Hong Kong MS in Data Science

20 WHAT ITU DOES International Telecommunication Union

21 ITU WORK FROM TECHNOLOGY STANDARDS TO PROJECTS AND DEVELOPMENT INITIATIVES

22 ITU WORK FROM TECHNOLOGY STANDARDS TO PROJECTS AND DEVELOPMENT INITIATIVES

23 ITU WORK (PLANNED) Development of training materials in IOT/Big Data Delivery of training through CoE network on IoT and Big Data Big data project funded by Government of Kuwait Regional and global forums on IOT/Big Data and Development

24 CONCLUSION Evolution of IoT and attendant generation of big data requires a workforce with a positive disposition to technology as well as adaptive capabilities If properly harnessed, IoT will be one of the defining technologies of our time that will be treasured for positive impacts in human development.

25 Thank you

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