internet of things - wirelesswireless.ictp.it/school_2016/slides/itu_d.pdf · iot and big data...

InternationalTelecommunicationUnionCommitted to connecting the world

INTERNET OF THINGS

CAPACITY BUILDING CHALLENGES OF BIG DATA AND PLANNED SOLUTIONS BY ITU

ICTP Workshop17 March 2016

Halima N LetamoTraining and Development Officer

Committed to connecting the world

OUTLINE§ About ITU

§ 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


ABOUT ITUIT

UEstablished in 1865.

Three Sectors:RadiocommunicationStandardization Development

193 Member States, 750+ Sector Members


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

Committed to connecting the world5

Source: CISCO

A CONNECTED WORLD

Key Growth Drivers

• 1M video minutes per second

• 3b internet users

• 4 fold speed increase• Nearly 15B connections

More devices Faster

Broadband speeds

More rich media content

More internet users


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

dataset needs to be in order to be considered big data

IOT AND BIG DATA

Source: McKingsy report

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


IOT AND BIG DATARelated or two sides of the same coin?

Is this statement about Big Data or the Internet of Things?

Source SAS best practices

3.The amount of devices that connect to the internet will rise from about 13 billion today to 50 billion by 2020.

1.Every minute, we send 204 million emails, generate 1.8 million Facebook likes, send 278 thousand tweets, and upload 200 thousand photos to Facebook

2. 12 million RFID tags (used to capture data and track movement of objects in the physical world) were sold in 2011. By 2021, it’s estimated this number will increase to 209 billion

4. The industry is expected to grow from US$10.2 billion in 2013 to about US$54.3 billion by 2017.

IOT GENERATES BIG DATAIoT and Big Data are closely connected. Data generated by IoT’sis characterized by:



14.8b “things” connected in 2015 out of a possible 1.8 trillion

Data on cloud- 2018

Data on traditional data centers-2018

Data from Internet of Everything 2018

Deployed IoT Devices - 2020

6.5ZB

2.1 ZB

26B403 ZB

Estimates:

Connected Things and Big Data


BIG DATA ON DEVELOPMENT

10

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


BIG DATA AND EMERGING JOBS


NEW SKILLS REQUIREMENTS(WHERE)


NEW SKILLS REQUIREMENTS(WHICH JOBS)

Source Forbes/Tech


NEW SKILLS REQUIREMENTS(WHAT SKILLS)

Big data Job title Academic background Skills requiredData 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


CHANGING SKILLS REQUIREMENTS

The Big data era

professional

Mobile skills

Social media skills

Business strategy

and leadership

Digital specialist /Analytics

The hybrid professional with technical proficiency and functional business aptitude


CLOSING THE SKILLS GAP(INDUSTRY RESPONSE)

IBM – TerraEchos – University of Montana partnership

Analytics curriculum designed to teach analysis of big data, how touse smart meter data to help consumers use energy moreefficiently, consumer sentiments from social networks,

Participants have access to IBM unique software, project focusedcase studies, IBM thought leaders

output is a mix of technical and problem solving skills needed forbig data

IBM working with more than 200 schools to strengthen analyticscurricula


CLOSING THE SKILLS GAP(INDUSTRY RESPONSE)


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-than-

basic 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.

Data analytics certificates up to Masters degrees

Professional development programmes

Online programmes

CLOSING THE SKILLS GAP(ACADEMIA RESPONSE)


Academic Institution Big Data Qualification

Aegis School of Business, Data Science & Telecommunication (India)

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

CLOSING THE SKILLS GAP(ACADEMIA RESPONSE)


WHAT ITU DOES


FROM TECHNOLOGY STANDARDS TO PROJECTS AND DEVELOPMENT INITIATIVES

ITU WORK


ITU WORK(PLANNED)

Development of training materials in IOT/Big Data

Delivery of training through CoEnetwork on IoTand Big Data

Big data project funded by Government of Kuwait

Regional and global forums on IOT/Big Data and Development


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.


Thank you

[email protected]

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