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NB-IRDT and PETL Research Project PartnershipDataNB
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HLEG thematic workshop on Measurement of Well Being and Development in Africa...StatsCommunications
HLEG thematic workshop on Measurement of Well Being and Development in Africa, 12-14 November 2015, Durban, South Africa, More information at: www.oecd.org/statistics/measuring-economic-social-progress
HLEG thematic workshop on Measurement of Well Being and Development in Africa...StatsCommunications
HLEG thematic workshop on Measurement of Well Being and Development in Africa, 12-14 November 2015, Durban, South Africa, More information at: www.oecd.org/statistics/measuring-economic-social-progress
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The attached slides are from my 1-hour workshop held at the BCS Enterprise Architecture Specialist Group 2nd Annual Conference - 26th June 2018
As this was an interactive workshop, the slides were presented to provide 'context' to stimulating debate, so some of the essence of content may be lost e.g the debate around funding – but sharing to the community.
Big Data and Hadoop training course is designed to provide knowledge and skills to become a successful Hadoop Developer. In-depth knowledge of concepts such as Hadoop Distributed File System, Setting up the Hadoop Cluster, Map-Reduce,PIG, HIVE, HBase, Zookeeper, SQOOP etc. will be covered in the course.
NB-IRDT and PETL Research Project PartnershipDataNB
Dr. Phil Leonard of UNB's New Brunswick Institute for Research, Data and Training talks about their research and data sharing partnership with the Department of Post Secondary Education and Training in New Brunswick
HLEG thematic workshop on Measurement of Well Being and Development in Africa...StatsCommunications
HLEG thematic workshop on Measurement of Well Being and Development in Africa, 12-14 November 2015, Durban, South Africa, More information at: www.oecd.org/statistics/measuring-economic-social-progress
HLEG thematic workshop on Measurement of Well Being and Development in Africa...StatsCommunications
HLEG thematic workshop on Measurement of Well Being and Development in Africa, 12-14 November 2015, Durban, South Africa, More information at: www.oecd.org/statistics/measuring-economic-social-progress
Building a ICT Strategy with an Enterprise Architecture MindsetDaljit Banger
The attached slides are from my 1-hour workshop held at the BCS Enterprise Architecture Specialist Group 2nd Annual Conference - 26th June 2018
As this was an interactive workshop, the slides were presented to provide 'context' to stimulating debate, so some of the essence of content may be lost e.g the debate around funding – but sharing to the community.
Big Data and Hadoop training course is designed to provide knowledge and skills to become a successful Hadoop Developer. In-depth knowledge of concepts such as Hadoop Distributed File System, Setting up the Hadoop Cluster, Map-Reduce,PIG, HIVE, HBase, Zookeeper, SQOOP etc. will be covered in the course.
International Food Policy Research Institute (IFPRI) organized a three days Training Workshop on ‘Monitoring and Evaluation Methods’ on 10-12 March 2014 in New Delhi, India. The workshop is part of an IFAD grant to IFPRI to partner in the Monitoring and Evaluation component of the ongoing projects in the region. The three day workshop is intended to be a collaborative affair between project directors, M & E leaders and M & E experts. As part of the workshop, detailed interaction will take place on the evaluation routines involving sampling, questionnaire development, data collection and management techniques and production of an evaluation report. The workshop is designed to better understand the M & E needs of various projects that are at different stages of implementation. Both the generic issues involved in M & E programs as well as project specific needs will be addressed in the workshop. The objective of the workshop is to come up with a work plan for M & E domains in the IFAD projects and determine the possibilities of collaboration between IFPRI and project leaders.
Impact assessment of factors affecting information technology projects in riv...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
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PwC research shows that global GDP could be up to 14% higher in 2030 as a result of Artificial Intelligence (AI) – the equivalent of an additional $15.7 trillion. This makes AI the biggest commercial opportunity in today’s fast changing economy. Businesses will have to re-think the way they deliver products and services to ensure that they remain innovative and competitive in the market, maintaining their market share.
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Your Challenge
Infrastructure, by focusing on the reliability, availability, and serviceability of existing platforms, is perceived as a cost center rather than a business enabler.
Business stakeholders look to external vendors, rather than Infrastructure, to exploit emerging technologies. This leads to duplication of effort, inconsistent standards, and ineffective IT governance.
Infrastructure directors are unable to draw a line showing how their activities directly support the overall business goals.
Our Advice
Critical Insight
Think of the roadmap as a service, not a product. Its value is inversely proportional to the time since its last update.
Alignment perception issues can be addressed by having the infrastructure practice formally engage and communicate with business stakeholders.
Shadow IT can provide business-ready initiatives that need only to be tweaked to align with Infrastructure’s internal goals.
Impact and Result
This blueprint will help you build:
A formal channel and way of communicating value bottom-up and top-down between IT and the executive team.
A methodology to prioritize and create projects that generate business value.
A tool that can produce multiple outputs of value for different audiences using the same data.
An ongoing roadmap process, rather than a static document, that is able to adjust and react to evolving business circumstances.
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International Food Policy Research Institute (IFPRI) organized a three days Training Workshop on ‘Monitoring and Evaluation Methods’ on 10-12 March 2014 in New Delhi, India. The workshop is part of an IFAD grant to IFPRI to partner in the Monitoring and Evaluation component of the ongoing projects in the region. The three day workshop is intended to be a collaborative affair between project directors, M & E leaders and M & E experts. As part of the workshop, detailed interaction will take place on the evaluation routines involving sampling, questionnaire development, data collection and management techniques and production of an evaluation report. The workshop is designed to better understand the M & E needs of various projects that are at different stages of implementation. Both the generic issues involved in M & E programs as well as project specific needs will be addressed in the workshop. The objective of the workshop is to come up with a work plan for M & E domains in the IFAD projects and determine the possibilities of collaboration between IFPRI and project leaders.
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Michael Cooch, a Partner from PwC’s Portfolio and Programme Management consulting team, presented on the topic of AI and how it is impacting the way organisations and individuals operate. The session particularly focused on how AI will shape the future of Programme and Project Management – including case study examples from PwC’s work with clients.
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Think of the roadmap as a service, not a product. Its value is inversely proportional to the time since its last update.
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A formal channel and way of communicating value bottom-up and top-down between IT and the executive team.
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1. R&D PLAN-INFORMATICS IN THE ERA OF
BIG DATA
Paper By
K.Shreedhar, Council of Scientific & Industrial Research, New
Delhi
Dr. Devi Prasad Bhukya, Instituto de Telecomunicações,
Universidade de Aveiro, Aveiro, Portugal
Shubham Hariom, ICFAI Business School (IBS), Hyderabad
2. About this paper
• The paper is an attempt to develop a Big data
based Planning concept “Plan-Informatics”
• Plan-Informatics is a generic architecture that
can be used for better utilization of big data
and near to real time data for effective
decision making
• The paper uses Plan-Informatics concept for
R&D planning and illustrates the benefits that
can be accrued by using advanced ICT
technology for R&D Planning
3. Outline
• Introduction to Big Data
• Plan-Informatics
• R&D in India
• R&D Plan-Informatics – a new Paradigm
• Advantages of R&D Plan-Informatics
4. Big Data
• ‘Big Data’ is defined as “Datasets whose
size is beyond the ability of typical
database software tools to capture, store,
manage, and analyse - McKinsey Global
Institute report, 2011
• Managing volume, variety and velocity of
data is the challenge of Big Data
5. Advantage of Big Data
• The big data would drive data-based decision
making system which will be based on near
to real time data.
• The analytics developed will be capable of
crunching huge volume of data in very short
time and create meaningful information.
• The generated big data has the potential to
reveal new efficiencies and actionable
information for better planning, forecasting
and decision making.
6. Big Data in Planning
• Advancement in ICT and its allied services
have been transforming the world
• Digitisations in public sector and data from
social networking sites are generating trillion
bytes of digital data which can form as input
for planning.
• Big data has the transformational power for
both private as well as public governance by
providing analytical capabilities for better
strategic planning, implementation and
economic returns
7. Plan-Informatics
• Plan-Informatics is a ‘Big data’ approach for
planning
• Any planning process, collection of data and
its analysis plays a decisive role
• The traditional approach of data-mining with
database cannot address the enormity of data
provided by big data.
• This requires ability to extract knowledge from
complex unstructured, semi-structured, and
structured sets of data with a purpose to
identify, analyse and solve a challenge in time
bound framework.
8. Assumptions for Plan-Informatics
• The Government of India has initiated the
National e-Governance Plan (NeGP) to
provide government private cloud
environment available for use by central,
state governments, line departments, and
other bodies
• it is assumed that the initiative by NeGP has
been adopted.
• The data generated by the NeGP, other than
the strategic data, is assumed to be available
centrally for planning.
10. • Baseline data can be generated for the
programmes, schemes and projects that
are implemented.
• Plan-Informatics has the capability to
provide outcome based governance model
• The details captured relating to input
provided, outputs produced and finally link
it to the outcomes generated for better
implementation.
Plan-Informatics: New paradigm for
planning
11. R&D in India
• Indian R&D has been evolving over the last
few decades with investment into the sector
increasing every Plan period ( 5 years)
• India’s Gross Expenditure on R&D (GERD)
for 2012 is USD 40.3 billion which is 0.85% of
GDP with a global share of 2.8% - Battelle
R&D report 2013
• Government is the major source of R&D
funding in India accounting for nearly 75% of
total expenditure
12. R&D planning in Indian Government
• Planning for Science, Technology and Innovation sector is
carried out by constituting various Committees like:
– Steering Committee
– Working Groups
– various other committees,
– sub-Committees,
– sub-groups,
– task forces etc. on various S&T sub-sectors identified for formulation
and implementation of polices during the Five Year Plan period.
• The committees consisting of eminent scientists and
leaders from various organizations in the R&D ecosystem
deliberate and recommend on the mechanism for
implementation of ST&I schemes, programmes and other
issues such as project implementation financing the
projects, HR requirement etc.
13. • Detailed reports by various Committees forms the
basis for the preparation of the Science, Technology &
Innovation sectoral inputs for Plan documents.
• Developed under various plans/policies that provide
broad framework for development of various schemes
and programme to be implemented by various public
sector R&D institutions.
• The Planning is based on recommendations provided
which are expert judgements based on their past
experiences which are backed by data that are not
very recent.
R&D planning by Indian Government
14. R&D Plan-Informatics –
a new Paradigm
• The R&D Plan-Informatics can source data
from NeGP and the data can be mined and
analysed using various analytical tools for
desired output.
• The R&D Plan-Informatics approach will
become a data driven scientific approach
wherein inputs from players of ecosystem
can be used
• The outputs can be visualised based on
which important decisions can be made.
16. R&D Plan-Informatics: an outcome
based Planning
• The Plan-Informatics will be helpful to the apex
planning body of any organization in general and also
national level policy makers in particular to evaluate,
assess and monitor the performance of the schemes/
projects.
• Some of the traditional as well as dynamic benefits
accruing from the R&D Plan-Informatics are :
– Financial Planning
– S&T indicators
– Types of R&D undertaken
– Transparency
– Trend analysis and other forecasting etc. can be
automatically performed with ease
– Near to real time data on progress of various projects
17. Advantages of R&D Plan-Informatics
• Plan-Informatics helps agencies increase their productivity &
effectiveness by constantly monitoring the implementation of
the programme.
• Various analytic tools can be utilized to identify suitable
research methods, trend analysis, various techniques can be
used for studying the efficiency, benchmarking, develop various
scenarios as a part of decision making system etc. can be
performed.
• Plan-Informatics helps in rationalising the need for spending the
money on various schemes.
• Performance based budgeting for example can be adopted.
• The output of the projects/schemes can also be easily
connected with the stakeholders on the work carried out.