A SMART Seminar conducted on 3 May 2013 by Ian Bertram.
Leveraging information for decision making, assessing its value and ensuring frictionless sharing of information within the enterprise and beyond is what will fuel success in the current and future economy. New use cases with insatiable demand for real-time access to socially mediated and context-aware insights make information management in the 21st century dramatically different.
For more information, see http://goo.gl/a6F2c
Tim Davies, SMART Infrastructure Facility E-Research Coordinator, presented the SMART Data Management Systement as part of the SMART Seminar Series on Thursday, 5th March 2015.
SMART Infrastructure Facility was pleased to host Dr Ruth Deakin Crick, a Reader in Systems Learning and Leadership, at University of Bristol, UK as she presented ‘Learning Journeys: making learning visible in developing infrastructure futures’ as part of the SMART Seminar Series on October 16th, 2014.
Jeremy Pitt of Imperial College London presented his research into Formal Models of Social Processes as part of the SMART Seminar Series on Friday, 28th November 2014.
The Role of Community-Driven Data Curation for EnterprisesEdward Curry
With increased utilization of data within their operational and strategic processes, enterprises need to ensure data quality and accuracy. Data curation is a process that can ensure the quality of data and its fitness for use. Traditional approaches to curation are struggling with increased data volumes, and near real-time demands for curated data. In response, curation teams have turned to community crowd-sourcing and semi-automatedmetadata tools for assistance. This chapter provides an overview of data curation, discusses the business motivations for curating data and investigates the role of community-based data curation, focusing on internal communities and pre-competitive data collaborations. The chapter is supported by case studies from Wikipedia, The New York Times, Thomson Reuters, Protein Data Bank and ChemSpider upon which best practices for both social and technical aspects of community-driven data curation are described.
E. Curry, A. Freitas, and S. O’Riáin, “The Role of Community-Driven Data Curation for Enterprises,” in Linking Enterprise Data, D. Wood, Ed. Boston, MA: Springer US, 2010, pp. 25-47.
Big Data, Data Science, Machine learning creating tremendous value in the education sector. Combination of open source with IBM value adds create compelling value. Artificial intelligence will revolutionize the sector with making education more relevant with Cognitive capabilities of students.
Data-Ed Online: Let's Talk Metadata: Strategies and Successes Data Blueprint
This webinar originally aired on Tuesday, September 11, 2012. It is part of Data Blueprint's ongoing webinar series on data management with Dr. Aiken.
Sign up for future sessions at http://www.datablueprint.com/webinar-schedule.
Abstract:
Commonly described as metadata management, properly implemented metadata practices incorporate data structures into more abstract processing. By using data about the data to enhance its value, its understandability, ease of use and many other options, organizations have developed sophisticated ways to enhance their data management and especially their data quality engineering efforts. Join us to learn more about specific metadata benefits and how to leverage it to achieve success within your organization.
The Chief Data Officer: Tomorrow's Corporate RockstarKatrina Read
The transformative power of data and analytics is being harnessed by organisations around the world to make smarter, quicker and more analytical-driven decisions. At the helm of this transformation is the Chief Data Officer – a strategic leader who employs data and analytics to create tangible business value, and who is rapidly attracting rock star status.
Tim Davies, SMART Infrastructure Facility E-Research Coordinator, presented the SMART Data Management Systement as part of the SMART Seminar Series on Thursday, 5th March 2015.
SMART Infrastructure Facility was pleased to host Dr Ruth Deakin Crick, a Reader in Systems Learning and Leadership, at University of Bristol, UK as she presented ‘Learning Journeys: making learning visible in developing infrastructure futures’ as part of the SMART Seminar Series on October 16th, 2014.
Jeremy Pitt of Imperial College London presented his research into Formal Models of Social Processes as part of the SMART Seminar Series on Friday, 28th November 2014.
The Role of Community-Driven Data Curation for EnterprisesEdward Curry
With increased utilization of data within their operational and strategic processes, enterprises need to ensure data quality and accuracy. Data curation is a process that can ensure the quality of data and its fitness for use. Traditional approaches to curation are struggling with increased data volumes, and near real-time demands for curated data. In response, curation teams have turned to community crowd-sourcing and semi-automatedmetadata tools for assistance. This chapter provides an overview of data curation, discusses the business motivations for curating data and investigates the role of community-based data curation, focusing on internal communities and pre-competitive data collaborations. The chapter is supported by case studies from Wikipedia, The New York Times, Thomson Reuters, Protein Data Bank and ChemSpider upon which best practices for both social and technical aspects of community-driven data curation are described.
E. Curry, A. Freitas, and S. O’Riáin, “The Role of Community-Driven Data Curation for Enterprises,” in Linking Enterprise Data, D. Wood, Ed. Boston, MA: Springer US, 2010, pp. 25-47.
Big Data, Data Science, Machine learning creating tremendous value in the education sector. Combination of open source with IBM value adds create compelling value. Artificial intelligence will revolutionize the sector with making education more relevant with Cognitive capabilities of students.
Data-Ed Online: Let's Talk Metadata: Strategies and Successes Data Blueprint
This webinar originally aired on Tuesday, September 11, 2012. It is part of Data Blueprint's ongoing webinar series on data management with Dr. Aiken.
Sign up for future sessions at http://www.datablueprint.com/webinar-schedule.
Abstract:
Commonly described as metadata management, properly implemented metadata practices incorporate data structures into more abstract processing. By using data about the data to enhance its value, its understandability, ease of use and many other options, organizations have developed sophisticated ways to enhance their data management and especially their data quality engineering efforts. Join us to learn more about specific metadata benefits and how to leverage it to achieve success within your organization.
The Chief Data Officer: Tomorrow's Corporate RockstarKatrina Read
The transformative power of data and analytics is being harnessed by organisations around the world to make smarter, quicker and more analytical-driven decisions. At the helm of this transformation is the Chief Data Officer – a strategic leader who employs data and analytics to create tangible business value, and who is rapidly attracting rock star status.
Chief Data & Analytics Officer Fall Boston - PresentationSrinivasan Sankar
Data Asset Catalog & Metadata Management - Is It a Fad or Is It the Future?
Many have dubbed metadata as “the new black,” but is this accurate?
How to leverage metadata management to streamline data governance and ensure transparency
Improving data quality and ensuring consistency and accuracy of data across various reporting systems
Looking at the flip side: what are the additional training requirements and value-added for the business?
How to use your data science team: Becoming a data-driven organizationYael Garten
Talk given at Strata Hadoop World conference March 2016.
http://conferences.oreilly.com/strata/hadoop-big-data-ca/public/schedule/detail/48305
In this talk we review the culture, process and tools needed for a data driven organization. We review an example of how companies like LinkedIn use data to make business decisions, and then walk through the culture, process, and tools needed to foster this. We review the spectrum of data science used within an organization and explore organizational needs, such as the democratization of data via self-serve data platforms for experimentation, monitoring, and data exploration, as well as the challenges that come with such systems. Participants leave this session with the ability to identify opportunities for data scientists to contribute within their organization and with an understanding of what investments are needed to drive transformation into a data-driven organization.
Data-centric design and the knowledge graphAlan Morrison
The #knowledgegraph--smart data that can describe your business and its domains--is now eating software. We won't be able to scale AI or other emerging tech without knowledge graphs, because those techs all require a transformed data foundation, large-scale integration, and shared data infrastructure.
Key to knowledge graphs are #semantics, #graphdatabase technology and a Tinker Toy-style approach to adding the missing verbs (which provide connections and context) back into your data. A knowledge graph foundation provides a means of contextualizing business domains, your content and other data, for #AI at scale.
This is from a talk I gave at the Data Centric Design for SMART DATA & CONTENT Enthusiasts meetup on July 31, 2019 at PwC Chicago. Thanks to Mary Yurkovic and Matt Turner for a very fun event!.
Opening/Framing Comments: John Behrens, Vice President, Center for Digital Data, Analytics, & Adaptive Learning Pearson
Discussion of how the field of educational measurement is changing; how long held assumptions may no longer be taken for granted and that new terminology and language are coming into the.
Panel 1: Beyond the Construct: New Forms of Measurement
This panel presents new views of what assessment can be and new species of big data that push our understanding for what can be used in evidentiary arguments.
Marcia Linn, Lydia Liu from UC Berkeley and ETS discuss continuous assessment of science and new kinds of constructs that relate to collaboration and student reasoning.
John Byrnes from SRI International discusses text and other semi-structured data sources and different methods of analysis.
Kristin Dicerbo from Pearson discusses hidden assessments and the different student interactions and events that can be used in inferential processes.
Panel 2: The Test is Just the Beginning: Assessments Meet Systems Context
This panel looks at how assessments are not the end game, but often the first step in larger big-data practices at districts/state/national levels.
Gerald Tindal from the University of Oregon discusses State data systems and special education, including curriculum-based measurement across geographic settings.
Jack Buckley Commissioner of the National Center for Educational Statistics discussing national datasets where tests and other data connect.
Lindsay Page, Will Marinell from the Strategic Data Project at Harvard discussing state and district datasets used for evaluating teachers, colleges of education, and student progress.
Panel 3: Connecting the Dots: Research Agendas to Integrate Different Worlds
This panel will look at how research organizations are viewing the connections between the perspectives presented in Panels 1 and 2; what is known, what is still yet to be discovered in order to achieve the promised of big connected data in education.
Andrea Conklin Bueschel Program Director at the Spencer Foundation
Ed Dieterle Senior Program Officer at the Bill and Melinda Gates Foundation
Edith Gummer Program Manager at National Science Foundation
TDWI Checklist - The Automation and Optimization of Advanced Analytics Based ...Vasu S
A whitepaper of TDWI checklist, drills into the data, tools, and platform requirements for machine learning to to identify goals and areas of improvement for current project
https://www.qubole.com/resources/white-papers/tdwi-checklist-the-automation-and-optimzation-of-advanced-analytics-based-on-machine-learning
This presentation was held by Professor Christine Legner (HEC Lausanne) at the Swiss Day on November 8, 2017, in Lausanne, Switzerland. It addresses the need for organisations to think about data and its management in new ways, as many corporations engage in the digital and data-driven transformation of their business. It concludes with three recommendations: 1) assess data's business value and impact, 2) measure and improve data quality, and 3) democratize data and support data citizenship.
Earley Executive Roundtable on Data Analytics - Session 1 - The Business Pote...Earley Information Science
Business Potential of Machine Learning and Cognitive Computing. Speakers include:
– Bruce Daley Principal Analyst, Tractica (@brucedaley)
– Olly Downs, Chief Scientist/CTO, Globys (@globysinc )
– Mitchell Shuster, Data Scientist, Knowledgent (@Knowledgent)
– Patrick Heffernan, Practice Manager, TBR (@TBR_PatrickH)
Data-Driven is Passé: Transform Into An Insights-Driven EnterpriseDenodo
Watch the full webinar: http://goo.gl/c5rlCM
Speakers: Holger Kisker, Ph.D., Vice President and Research Director at Forrester Research Inc.
Listen to Holger Kisker, Vice President and Research Director at Forrester Research Inc., describe the three step plan for organizations to become insights-driven rather than data-driven enterprises. Adopting systems of insight and embedding them into your organization’s systems of engagement, record, and automation allows you to turn data into action. As a final step, data virtualization can help keep all systems in synch, being a key enabler for systems of insight.
LoQutus helps organisations to innovate with analytics and to get insights with data visualisation. We also build large scale data layers to enable interaction with core data, and develop data-driven applications to deliver the insights our customers need. During this session we’ll share what we have learned along the way. We’ll show you our framework for self-service analytics & insights, and some successful case studies.
This presentation introduces some concepts of Data Analytics including: Data Science, Big Data, Social Network Analysis, Process Mining, Market Basket Analysis, and Pattern Recognition
Talking about Big Data generates a lot of questions; however, most of the focus is on the technologies and skills required to collect and store this volume of information as opposed to the insight that companies need to derive from it. What factors should organizations consider in order to ensure that they are capitalizing on their investments with these technologies? How do you break through business silos to enable sharing of data to increase organizational value? Leveraging his cross-industry experience at companies like The Walt Disney Company, Travelers Insurance and Demand Media, Brendan Aldrich will discuss the question of “big value” with industry examples and a particular focus on his current work to deploy a “data democracy” within the City Colleges of Chicago.
Session Discovery Topics:
• Big value - keeping an eye on the forest (assumptions, judgment and bias)
• Data democracy - increasing productivity with data transparency and open access
O'Reilly ebook: Machine Learning at Enterprise Scale | QuboleVasu S
Real-world data science practitioners offer perspectives and advice on six common Machine Learning problems
https://www.qubole.com/resources/ebooks/oreilly-ebook-machine-learning-at-enterprise-scale
Closing the Governance Gap - Enabling Governed Self-Service AnalyticsPrivacera
Data democratization and data protection are conflicting forces that both need to be addressed through data governance and security by defining, deploying, and auditing data access control policies. Yet there is a latent “governance gap”: the individuals in the organization accountable for articulating and specifying data policies do not have enough knowledge of the systems to understand how policies are to be implemented, and the technologists who understand the system are not familiar enough with data policy drivers to appropriately define and deploy data protection policies.
This webinar is a must for personnel with an analytics and technology mandate to learn about the root causes of this governance gap and consider ideas for closing the gap.
On-Demand here: https://tdwi.org/webcasts/2021/07/arch-all-closing-the-governance-gap-enabling-governed-self-service-analytics.aspx
Learn about:
- Different roles tasked with managing data policies
- Root causes of the governance gap
- Establishing bridges among the different personas - privacy and compliance teams, data stewards, security teams, IT teams, data users
- Simplifying data policy governance
- Governed self-service analytics and data sharing
- Definitions of data sources and data assets and how to enable delegated policy administration
Change Management: The Secret to a Successful SAS® ImplementationThotWave
Whether you are deploying a new capability with SAS® or modernizing the tool set that people already use in your organization, change management is a valuable practice. Sharing the news of a change with employees can be a daunting task and is often put off until the last possible second. Organizations frequently underestimate the impact of the change, and the results of that miscalculation can be disastrous. Too often, employees find out about a change just before mandatory training and are expected to embrace it. But change management is far more than training. It is early and frequent communication, an inclusive discussion, encouraging and enabling the development of an individual, and facilitating learning before, during, and long after the change.
This paper not only showcases the importance of change management but also identifies key objectives for a purposeful strategy. We outline our experiences with both successful and not so successful organizational changes. We present best practices for implementing change management strategies and highlighting common gaps. For example, developing and engaging “Change Champions” from the beginning alleviates many headaches and avoids disruptions. Finally, we discuss how the overall company culture can either support or hinder the positive experience change management should be and how to engender support for formal change management in your organization.
Chief Data & Analytics Officer Fall Boston - PresentationSrinivasan Sankar
Data Asset Catalog & Metadata Management - Is It a Fad or Is It the Future?
Many have dubbed metadata as “the new black,” but is this accurate?
How to leverage metadata management to streamline data governance and ensure transparency
Improving data quality and ensuring consistency and accuracy of data across various reporting systems
Looking at the flip side: what are the additional training requirements and value-added for the business?
How to use your data science team: Becoming a data-driven organizationYael Garten
Talk given at Strata Hadoop World conference March 2016.
http://conferences.oreilly.com/strata/hadoop-big-data-ca/public/schedule/detail/48305
In this talk we review the culture, process and tools needed for a data driven organization. We review an example of how companies like LinkedIn use data to make business decisions, and then walk through the culture, process, and tools needed to foster this. We review the spectrum of data science used within an organization and explore organizational needs, such as the democratization of data via self-serve data platforms for experimentation, monitoring, and data exploration, as well as the challenges that come with such systems. Participants leave this session with the ability to identify opportunities for data scientists to contribute within their organization and with an understanding of what investments are needed to drive transformation into a data-driven organization.
Data-centric design and the knowledge graphAlan Morrison
The #knowledgegraph--smart data that can describe your business and its domains--is now eating software. We won't be able to scale AI or other emerging tech without knowledge graphs, because those techs all require a transformed data foundation, large-scale integration, and shared data infrastructure.
Key to knowledge graphs are #semantics, #graphdatabase technology and a Tinker Toy-style approach to adding the missing verbs (which provide connections and context) back into your data. A knowledge graph foundation provides a means of contextualizing business domains, your content and other data, for #AI at scale.
This is from a talk I gave at the Data Centric Design for SMART DATA & CONTENT Enthusiasts meetup on July 31, 2019 at PwC Chicago. Thanks to Mary Yurkovic and Matt Turner for a very fun event!.
Opening/Framing Comments: John Behrens, Vice President, Center for Digital Data, Analytics, & Adaptive Learning Pearson
Discussion of how the field of educational measurement is changing; how long held assumptions may no longer be taken for granted and that new terminology and language are coming into the.
Panel 1: Beyond the Construct: New Forms of Measurement
This panel presents new views of what assessment can be and new species of big data that push our understanding for what can be used in evidentiary arguments.
Marcia Linn, Lydia Liu from UC Berkeley and ETS discuss continuous assessment of science and new kinds of constructs that relate to collaboration and student reasoning.
John Byrnes from SRI International discusses text and other semi-structured data sources and different methods of analysis.
Kristin Dicerbo from Pearson discusses hidden assessments and the different student interactions and events that can be used in inferential processes.
Panel 2: The Test is Just the Beginning: Assessments Meet Systems Context
This panel looks at how assessments are not the end game, but often the first step in larger big-data practices at districts/state/national levels.
Gerald Tindal from the University of Oregon discusses State data systems and special education, including curriculum-based measurement across geographic settings.
Jack Buckley Commissioner of the National Center for Educational Statistics discussing national datasets where tests and other data connect.
Lindsay Page, Will Marinell from the Strategic Data Project at Harvard discussing state and district datasets used for evaluating teachers, colleges of education, and student progress.
Panel 3: Connecting the Dots: Research Agendas to Integrate Different Worlds
This panel will look at how research organizations are viewing the connections between the perspectives presented in Panels 1 and 2; what is known, what is still yet to be discovered in order to achieve the promised of big connected data in education.
Andrea Conklin Bueschel Program Director at the Spencer Foundation
Ed Dieterle Senior Program Officer at the Bill and Melinda Gates Foundation
Edith Gummer Program Manager at National Science Foundation
TDWI Checklist - The Automation and Optimization of Advanced Analytics Based ...Vasu S
A whitepaper of TDWI checklist, drills into the data, tools, and platform requirements for machine learning to to identify goals and areas of improvement for current project
https://www.qubole.com/resources/white-papers/tdwi-checklist-the-automation-and-optimzation-of-advanced-analytics-based-on-machine-learning
This presentation was held by Professor Christine Legner (HEC Lausanne) at the Swiss Day on November 8, 2017, in Lausanne, Switzerland. It addresses the need for organisations to think about data and its management in new ways, as many corporations engage in the digital and data-driven transformation of their business. It concludes with three recommendations: 1) assess data's business value and impact, 2) measure and improve data quality, and 3) democratize data and support data citizenship.
Earley Executive Roundtable on Data Analytics - Session 1 - The Business Pote...Earley Information Science
Business Potential of Machine Learning and Cognitive Computing. Speakers include:
– Bruce Daley Principal Analyst, Tractica (@brucedaley)
– Olly Downs, Chief Scientist/CTO, Globys (@globysinc )
– Mitchell Shuster, Data Scientist, Knowledgent (@Knowledgent)
– Patrick Heffernan, Practice Manager, TBR (@TBR_PatrickH)
Data-Driven is Passé: Transform Into An Insights-Driven EnterpriseDenodo
Watch the full webinar: http://goo.gl/c5rlCM
Speakers: Holger Kisker, Ph.D., Vice President and Research Director at Forrester Research Inc.
Listen to Holger Kisker, Vice President and Research Director at Forrester Research Inc., describe the three step plan for organizations to become insights-driven rather than data-driven enterprises. Adopting systems of insight and embedding them into your organization’s systems of engagement, record, and automation allows you to turn data into action. As a final step, data virtualization can help keep all systems in synch, being a key enabler for systems of insight.
LoQutus helps organisations to innovate with analytics and to get insights with data visualisation. We also build large scale data layers to enable interaction with core data, and develop data-driven applications to deliver the insights our customers need. During this session we’ll share what we have learned along the way. We’ll show you our framework for self-service analytics & insights, and some successful case studies.
This presentation introduces some concepts of Data Analytics including: Data Science, Big Data, Social Network Analysis, Process Mining, Market Basket Analysis, and Pattern Recognition
Talking about Big Data generates a lot of questions; however, most of the focus is on the technologies and skills required to collect and store this volume of information as opposed to the insight that companies need to derive from it. What factors should organizations consider in order to ensure that they are capitalizing on their investments with these technologies? How do you break through business silos to enable sharing of data to increase organizational value? Leveraging his cross-industry experience at companies like The Walt Disney Company, Travelers Insurance and Demand Media, Brendan Aldrich will discuss the question of “big value” with industry examples and a particular focus on his current work to deploy a “data democracy” within the City Colleges of Chicago.
Session Discovery Topics:
• Big value - keeping an eye on the forest (assumptions, judgment and bias)
• Data democracy - increasing productivity with data transparency and open access
O'Reilly ebook: Machine Learning at Enterprise Scale | QuboleVasu S
Real-world data science practitioners offer perspectives and advice on six common Machine Learning problems
https://www.qubole.com/resources/ebooks/oreilly-ebook-machine-learning-at-enterprise-scale
Closing the Governance Gap - Enabling Governed Self-Service AnalyticsPrivacera
Data democratization and data protection are conflicting forces that both need to be addressed through data governance and security by defining, deploying, and auditing data access control policies. Yet there is a latent “governance gap”: the individuals in the organization accountable for articulating and specifying data policies do not have enough knowledge of the systems to understand how policies are to be implemented, and the technologists who understand the system are not familiar enough with data policy drivers to appropriately define and deploy data protection policies.
This webinar is a must for personnel with an analytics and technology mandate to learn about the root causes of this governance gap and consider ideas for closing the gap.
On-Demand here: https://tdwi.org/webcasts/2021/07/arch-all-closing-the-governance-gap-enabling-governed-self-service-analytics.aspx
Learn about:
- Different roles tasked with managing data policies
- Root causes of the governance gap
- Establishing bridges among the different personas - privacy and compliance teams, data stewards, security teams, IT teams, data users
- Simplifying data policy governance
- Governed self-service analytics and data sharing
- Definitions of data sources and data assets and how to enable delegated policy administration
Change Management: The Secret to a Successful SAS® ImplementationThotWave
Whether you are deploying a new capability with SAS® or modernizing the tool set that people already use in your organization, change management is a valuable practice. Sharing the news of a change with employees can be a daunting task and is often put off until the last possible second. Organizations frequently underestimate the impact of the change, and the results of that miscalculation can be disastrous. Too often, employees find out about a change just before mandatory training and are expected to embrace it. But change management is far more than training. It is early and frequent communication, an inclusive discussion, encouraging and enabling the development of an individual, and facilitating learning before, during, and long after the change.
This paper not only showcases the importance of change management but also identifies key objectives for a purposeful strategy. We outline our experiences with both successful and not so successful organizational changes. We present best practices for implementing change management strategies and highlighting common gaps. For example, developing and engaging “Change Champions” from the beginning alleviates many headaches and avoids disruptions. Finally, we discuss how the overall company culture can either support or hinder the positive experience change management should be and how to engender support for formal change management in your organization.
[2016 데이터 그랜드 컨퍼런스] 2 2(빅데이터). skt beyond big dataK data
미래의 ICT생태계는 데이터를 중심으로 형성될 것입니다. 디지털라이제이션(digitalization)의 가속화로 우리의 일상은 빠르게 데이터 기반으로 급변하고 있습니다. 빅데이터라는 용어가 라디오 프로그램의 선곡기준으로도 등장하는 현 시점에서 다양한 관점의 빅데이터를 살펴봄으로써 실제 산업 생태계에 가져올 기술, 사회, 제도적 혁신의 조짐을 살펴보고자 합니다.
먼저 오픈소스가 가져오는 IT 생태계의 변화와 공유경제라는 키워드를 통해 함께함으로써 커지는 데이터의 가치, 그리고 그 가치를 더욱 크게 할 메타데이터의 중요성을 이야기하겠습니다. 또한 데이터 생태계의 활성화를 위한 거래 플랫폼이 가진 멀티 사이드 플랫폼의 가치와 이러한 플랫폼 활성화를 위한 공공 정책의 데이터 기반 변화 트렌드와 개인 프라이버시 보호 트렌드 및 기술을 살펴보고자합니다.
[2016 데이터 그랜드 컨퍼런스] 1 1. bk1(위세아이텍) 2016데이터그랜드컨퍼런스-머신러닝동향과 산업별 활용_김종현-finalK data
머신러닝은 인공지능 내부 시스템 가운데 학습영역을 구체화한 기술로 데이터를 반복해서 기계를 학습시키는 알고리즘과 기술을 개발하는 분야이다. 머신러닝 알고리즘은 특성과 사용 분야를 기준으로 크게 유사성 베이스, 정보, 비지도, 신경망의 5가지 유형으로 분류된다. 이번 발표에서 머신러닝이 활용되는 산업별 세계 시장 규모와 실제 머신러닝이 어떻게 실생활에 적용되어 있는지 사례를 들어 설명할 예정이다. 특히 머신러닝 구현을 위해 필수적 요소인 도메인 지식 데이터의 중요성을 확인할 수 있다.
The web-conference hosted by CRISIL Global Research & Analytics on “Big Data’s Big Impact on Businesses” on January 29, 2013, saw participation from senior officials of global multinationals from 9 countries. The presentation described how data analytics is helping businesses make “evidence-based” decisions, thereby creating a positive impact. It also spoke about the opportunities opening up in the Big Data space in India and across the globe.
Hosted by:
Sanjeev Sinha, President, CRISIL Global Research & Analytics
Gaurav Dua, Director & Practice Leader (Technology, Media & Telecom), CRISIL Global Research & Analytics
New Trend - Big Data Analytics as a service
The combination of ‘data analysis’ and 'big data-open source-cloud computing' opens up a new universe of opportunities at many levels and in many places.
A presentation conducted by Mr Phillip Delaney, The University of Melbourne.
Presented on Tuesday the 1st of October 2013.
Discovering and accessing relevant data is a problem often faced by urban researchers, policy and decision-makers
across Australia. Several public, private and academic entities are establishing Data Hubs; online catalogues for data discovery, access and interrogation. Data Hubs are
typically web services accessible via a portal, often with narrow geographic or application focus, with varied levels of analytical and visualisation capability. The Australian Urban
Research Infrastructure Network (AURIN) is focused on providing better access to comprehensive datasets through a dedicated e-Infrastructure platform. The AURIN portal
will facilitate programmatic access to data held in many emerging Data Hubs across Australia. AURIN is implementing a federated data model, providing a single access point and common interface for interrogating datasets. This paper outlines the Data Hub concept, describing the process and benefits of Data Hub integration within the AURIN e-infrastructure context
Bezoekers boeien en binden: Big-Data op uw website. Parantion op Cascadis Con...parantion
Uw website biedt waarschijnlijk praktische informatie voor de inwoners, bezoekers en bedrijven in uw gemeente. Heel goed… maar is uw website ook leuk en interessant om te bezoeken?
Binnen gemeenten zijn veel cijfers aanwezig: gemeentelijke BIG DATA! Uw collega’s laten veel onderzoeken uitvoeren. Alles binnen de grenzen van een gemeente wordt nauwkeurig bijgehouden in bestanden (GBA, WOZ, Wmo). Laat de burger eens (op een leuke manier) zien wat er in uw gemeente gebeurt en maak hiermee uw website een stuk interessanter voor bezoekers! Geef uw burger inzicht in recente ontwikkelingen, toekomstige ontwikkelingen. Laat mensen uw website bezoeken voor meer dan het verlengen van hun paspoort.
Data Analytics has become a crucial part of the IT industry, as businesses strive to extract meaningful insights from the massive amounts of data they generate. APTRON's Data Analytics Training in Gurgaon is designed to equip learners with the knowledge and skills required to become proficient in the field.
Imperative of advanced analytics and ai in leadership excellenceEbuka David Obi
Data has a soul that needs to be learned. Advanced analytics exposes a lot of deeper data insight and gives us the power to predict the next occurrence with better accuracy.
How An AI-Powered Trade Promotion Optimization Software Can Improve Consumer ...Gina Shaw
Artificial Intelligence (AI) will happen in both TPx and Retail Execution sooner than you probably think – Promotion Optimization Institute
According to Nielsen Holdings, 40% of Consumer Goods trade promotion spending doesn’t drive the desired results. Even though the trade promotions spend take up a lion’s share of the organizational revenue, traditionally manufacturers have always struggled in optimizing their promotion mix for the maximum bang for the buck.
With the advancements in AI technologies, it is now possible to powerfully harness data and run high-yield trade promotions.
What You Can Expect From The eBook?
1. Key Trade Promotion Optimization (TPO) challenges faced today
2. What is AI in the context of TPO?
3. How AI helps run profitable trade promotions?
4. What an AI-Powered analysis looks like?
5. Case-studies
6. How you can get started right away!
Analytics Isn’t Enough To Create A Data–Driven CultureaNumak & Company
The earned values are perhaps compatible with older technologies. As we believe big data and AI are extensions of analytical capabilities, the most common and most likely to succeed are those related to "advanced analytics and better decisions."
Data Science - Part I - Sustaining Predictive Analytics CapabilitiesDerek Kane
This is the first lecture in a series of data analytics topics and geared to individuals and business professionals who have no understand of building modern analytics approaches. This lecture provides an overview of the models and techniques we will address throughout the lecture series, we will discuss Business Intelligence topics, predictive analytics, and big data technologies. Finally, we will walk through a simple yet effective example which showcases the potential of predictive analytics in a business context.
The Increasing Criticality of MDM for Personalization for Customers and Employees
Master data management seems to be one of those perennial, evergreen programs that organizations continue to struggle with.
Every couple of years people say, “we're going to get a handle on our master data” and then spend hundreds of thousands to millions and tens of millions of dollars working toward a solution.
The challenge is that many of these solutions are not really getting to the root cause of the problem. They start with technology and begin by looking at specific data elements rather than looking at the business concepts that are important to the organization.
MDM programs are also difficult to anchor on a specific business value proposition such as improving the top line. Many initiatives are so deep in the weeds and so far upstream that executives lose interest and they lose faith in the business value that the project promises. Meanwhile frustrated data analysts, data architects and technology organizations feel cut off at the knees because they can't get the funding, support and attention that they need to be successful.
We've seen this time after time and until senior executives recognize the value and envision where the organization can go with control over its data across domains, this will continue to happen over and over again. Executives all nod their heads and say “Yes! Data is important, really important!” But when they see the price tag they say, “Whoa hold on there, it's not that important”.
Well, actually, it is that important.
We can't forget that under all of the systems, processes and shiny new technologies such as artificial intelligence and machine learning lies data. And that data is more important than the algorithm. If you have bad data your AI is not going to be able to fix it. Yes there are data remediation applications and there are mechanisms to harmonize or normalize certain data elements. But looking at this holistically requires human judgment: understanding business processes, understanding data flows, understanding dependencies and understanding of the entire customer experience ecosystem and the role of upstream tools, technologies and processes that enable that customer experience.
Until we take that holistic approach and connect it to business value these things are not going to get the time, attention and resources that they need.
Seth Earley, Founder & CEO, Earley Information Science
Dan O'Connor, Senior Product Manager at inriver
It’s Not About Big Data – It’s About Big Insights - SAP Webinar - 20 Aug 201...Edgar Alejandro Villegas
Presentation slides of:
It’s Not About Big Data – It’s About Big Insights - SAP Webinar - 20 Aug 2013 - PDF
Scott Mackenzie - Sr. Director, Platform & Analytics CoE
Michael Golzc - CIO for SAP Americas
Ken Demma - VP, Insight Driven Marketing
20 Aug 2013 - Webcast - http://goo.gl/T74WAL
Balancing Business Value and Business Values with Big DataSAP Analytics
As companies accelerate their use of big data in the pursuit of business value, they must address the moral and ethical implications or risk alienating the very people they seek to serve.
Bardess Moderated - Analytics and Business Intelligence - Society of Informat...bardessweb
Joe DeSiena, President of Bardess Group Ltd moderated a panel of Information Technology executives titled Analytics and Business Intelligence for the chapter meeting for the New Jersey Society of Information Management.
Palestra sobre conceitos Big data no evento IDETI em SP. Aborda o que é Big data, debate alguns beneficios e desafios. Debate também o papel do CDO- Chief Data Officer.
Data strategy - The Business Game ChangerAmit Pishe
This blog highlights the basics of Data Strategy and its application in real-time business scenarios. Components of Data strategy, Data Analytics have been explained crisply. How Insights and Data Stories can be used to create powerful impact on the Business decisions.
Similar to SMART Seminar - The Future of Business Intelligence: Information 2020 (20)
Richard Skarbez presented a seminar titled "Cognitive Illusions in Virtual Reality: What do I mean? And why should you care?" as part of the SMART Seminar Series on the 4th March 2019.
More information:
https://news.eis.uow.edu.au/event/cognitive-illusions-in-virtual-reality-what-do-i-mean-and-why-should-you-care/
Keep updated with future events: http://www.uoweis.co/events/category/smart-infrastructure-facility
Dr Ricardo Peculis presented a seminar titled "Trusted Autonomous Systems as System of Systems" as part of the SMART Seminar Series on 19th February 2019.
More information:
https://news.eis.uow.edu.au/event/trusted-autonomous-systems-as-system-of-systems/
Keep updated with future events: http://www.uoweis.co/events/category/smart-infrastructure-facility"
David Kennewell presented a seminar titled " "The Evolution of the Metric System: From Precious Lumps of Metal to Constants of Nature" as part of the SMART Seminar Series on 1st November 2018.
More information:
https://news.eis.uow.edu.au/event/the-evolution-of-the-metric-system-from-precious-lumps-of-metal-to-constants-of-nature/
Keep updated with future events: http://www.uoweis.co/events/category/smart-infrastructure-facility"
Dr Ilya Budovsky presented a seminar titled "The Evolution of the Metric System: From Precious Lumps of Metal to Constants of Nature" as part of the SMART Seminar Series on 1st November 2018.
More information:
https://news.eis.uow.edu.au/event/the-evolution-of-the-metric-system-from-precious-lumps-of-metal-to-constants-of-nature/
Keep updated with future events: http://www.uoweis.co/events/category/smart-infrastructure-facility/
Dr Johan Barthelemy presented a seminar titled "Using AI and edge computing devices for traffic flow monitoring" as part of the SMART Seminar Series on 11th October 2018.
More information: https://news.eis.uow.edu.au/event/using-ai-and-edge-computing-devices-for-traffic-flow-monitoring/
Keep updated with future events: http://www.uoweis.co/events/category/smart-infrastructure-facility/
Prof Willy Susilo presented a seminar titled "Blockchain and its Applications" as part of the SMART Seminar Series on 20th September 2018.
More information: https://news.eis.uow.edu.au/event/blockchain-and-its-applications/
Keep updated with future events: http://www.uoweis.co/events/category/smart-infrastructure-facility/
Prof Theirry Monteil & Fabian Ho presented a seminar titled "From an IoT cloud based architecture to Edge for dynamic service" as part of the SMART Seminar Series on 24th August 2018.
More information: https://news.eis.uow.edu.au/event/from-an-iot-cloud-based-architecture-to-edge-for-dynamic-service/
Keep updated with future events: http://www.uoweis.co/events/category/smart-infrastructure-facility/
Dr Bobby Du and Paul-Antonin Dublanche presented a seminar titled "Is bus bunching serious in Sydney? Preliminary findings based on Opal card data analysis" as part of the SMART Seminar Series on 2nd August 2018.
More information: https://news.eis.uow.edu.au/event/is-bus-bunching-serious-in-sydney-preliminary-findings-based-on-opal-card-data-analysis/
Keep updated with future events: http://www.uoweis.co/events/category/smart-infrastructure-facility/
Dr Nicolas Verstaevel presented a seminar titled "Keep it SMART, keep it simple! – Challenging complexity with self-organising software" as part of the SMART Seminar Series on 24th July 2018.
More information: https://news.eis.uow.edu.au/event/keep-it-smart-keep-it-simple-challenging-complexity-with-self-organising-software/
Keep updated with future events: http://www.uoweis.co/events/category/smart-infrastructure-facility/
Dr Boulent Imam presented a seminar titled "Risk-based bridge assessment under changing load-demand and environmental conditions" as part of the SMART Seminar Series on 17th July 2018.
More information: https://news.eis.uow.edu.au/event/risk-based-bridge-assessment-under-changing-load-demand-and-environmental-conditions/
Keep updated with future events: http://www.uoweis.co/events/category/smart-infrastructure-facility/
Dr Rohan Wickramasuriya presented a seminar titled "Deep Learning: Fundamentals and Practice" as part of the SMART Seminar Series on 29th May 2018.
More information: http://www.uoweis.co/event/deep-learning-fundamentals-and-practice/
Keep updated with future events: http://www.uoweis.co/events/category/smart-infrastructure-facility/
Dr Sarah Dunn presented a seminar titled "Infrastructure Resilience: Planning for Future Extreme Events" as part of the SMART Seminar Series on 12th April 2018.
More information: http://www.uoweis.co/event/infrastructure-resilience-planning-for-future-extreme-events/
Keep updated with future events: http://www.uoweis.co/events/category/smart-infrastructure-facility/
Dr George Grozev presented a seminar titled "Potential use of drones for infrastructure inspection and survey: as part of the SMART Seminar Series on 27th March 2018.
More information: http://www.uoweis.co/event/potential-use-of-drones-for-infrastructure-inspection-and-survey/
Keep updated with future events: http://www.uoweis.co/events/category/smart-infrastructure-facility/
Professor Timoteo Carletti presented a seminar titled "A journey in the zoo of Turing patterns: the topology does matter as part of the SMART Seminar Series on 8th March 2018.
More information: http://www.uoweis.co/event/a-journey-in-the-zoo-of-turing-patterns-the-topology-does-matter/
Keep updated with future events: http://www.uoweis.co/events/category/smart-infrastructure-facility/
Dr Carole Adam presented a seminar titled Human behaviour modelling and simulation for crisis management as part of the SMART Seminar Series on 1st March 2018.
More information: http://www.uoweis.co/event/human-behaviour-modelling-and-simulation-for-crisis-management/
Keep updated with future events: http://www.uoweis.co/events/category/smart-infrastructure-facility/
Professor Graham Harris presented a seminar titled Dealing with uncertainty: With the observer in the loop as part of the SMART Seminar Series on 13th February 2018.
More information: http://www.uoweis.co/event/dealing-with-uncertainty-with-the-observer-in-the-loop/
Keep updated with future events: http://www.uoweis.co/events/category/smart-infrastructure-facility/
Senior Professor Pascal Perez presented on Smart Cities; The Good, The Bad & The Ugly as part of the SMART Seminar Series on 30th January 2018.
More information: http://www.uoweis.co/event/smart-cities-the-good-the-bad-the-ugly/
Keep updated with future events: http://www.uoweis.co/events/category/smart-infrastructure-facility/
Visiting PhD student, Morgane Dumont presented on how to improve the order of evolutionary models in agent-based simulations for population dynamics as part of the SMART Seminar Series on 15 December 2017.
More information: http://www.uoweis.co/event/how-to-improve-the-order-of-evolutionary-models-in-agent-based-simulations-for-population-dynamics/
Keep updated with future events: http://www.uoweis.co/tag/smart-infrastructure/
Professor Tierry Monteil, professor in computer science at INSA – University of Toulouse and researcher at LAAS-CNRS presented on OneM2M and the interoperatbility of the IoT as part of the SMART Seminar Series on 13 December 2017.
More information: http://www.uoweis.co/event/onem2m-towards-end-to-end-interoperability-of-the-iot/
Keep updated with future events: http://www.uoweis.co/tag/smart-infrastructure/
Professor Peter Bridgewater, Chair of Landcare ACT and Adjunct Professor in Terrestrial and Marine Biodiversity Governance at the University of Canberra, presented on blue-green vs grey-black infrastructure and which is the best way forward, as part of the SMART Seminar Series on 24 November 2017.
More information: http://www.uoweis.co/event/blue-green-vs-grey-black-infrastructure-which-is-best-for-c21st-survival/
Keep updated with future events: http://www.uoweis.co/tag/smart-infrastructure/
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
7. Key Issues
1. What business drivers should you focus on to get
more value from information?
2. How can the IT leaders connect with the
business leaders who can benefit most from
information?
3. How can you prepare to be an information
leader?
8. Key Issues
1. What business drivers should you focus on
to get more value from information?
2. How can the IT leaders connect with the
business leaders who can benefit most from
information?
3. How can you prepare to be an information
leader?
11. Forming, Strengthening and Solidifying
Relationships
CUSTOMERS
PARTNERS SUPPLIERS
EMPLOYEES
Relationship
Management
GOVERNMENT
TRADE ORGS
UNIONS
PRESS/MEDIA
COMMUNITY
INVESTORS
ALUMNI
CANDIDATES
PROSPECTS
USERS
12. Managing Governance, Risk and
Compliance
Corporate Governance
Information
Governance
IT
Governance
Principles
Guidelines
Standards
Policies
Procedures
REWARDS
PENALTIES
monitoring
enforcement
Intelligent
Scenario Planning
13. Fueling Transformation By Unleashing
Digital Value
Innovation
Collaboration
Integration
Elimination
•Revolutionize processes
•Enter new markets
•Develop new products
•Productize information
15. Key Issues
1. What business drivers should you focus on to get
more value from information?
2. How can the IT leaders connect with the
business leaders who can benefit most from
information?
3. How can you prepare to be an information
leader?
17. Connect IT and Business
Info-Fueled
Opportunities
Insights
Decisions
Automation
18. Connect with a Common Language
Information is one
of our biggest
business assets.
Information is one
of our biggest
business risks.
Information is one
of our biggest
pains in the asset.
Information is one
of our biggest
competitive
assets.
CEO
CFO
COO
CIO
Where is the value of information
assets on the balance sheet? ?
19. Connect Information Sources
Operational
Enterprise
"Dark Data"
Public Commercial
Social Media
Economic
Population
Email
Contracts
Mobile
Weather
Transactions
Monitoring
Sensor
Sentiment
Network
Industry
Correlations and patterns from disparate, linked data sources
yield the greatest insights and transformative opportunities
Reports
20. Connect Information With Strategy
I waited to see
what leaders in
our industry
were doing
with data
I came up with
some great ideas
for using data on
my own
I worked with
business
partners to
develop new
ways to use
data
We adopted and
adapted winning
ideas from other
industries for
using data
Art of the Possible
Think "enterprise cross-training and cross-pollination"
21. Key Issues
1. What business drivers should you focus on to get
more value from information?
2. How can the IT leaders connect with the
business leaders who can benefit most from
information?
3. How can you prepare to be an information
leader?
23. Create a New Information Leadership Role
One day Alice came to a fork in the road and saw a Cheshire cat in a tree. "Which road do I take?"
she asked. "Where do you want to go?" was his response. "I don't know," Alice answered.
"Then," said the cat, "it doesn't matter."
CIO
Tactics
Technology
Efficiency
CDO
Strategy
Information
Innovation
24. Understand the Information Innovation
Puzzle
INFRASTRUCTURE
ARCHITECTURE
R
I
S
K
SANALYTICSS
K
I
L
L
S
LEADERSHIP
INVESTMENT
ORGANIZATION
I
N
E
R
T
I
A
Through 2015:
• 85% of Fortune 500
organizations will be
unable to exploit big
data for competitive
advantage.
• Business analytics
needs will drive 70%
of investments in the
expansion and
modernization of
information
infrastructure.
25. Implement the Principles of Infonomics
Infonomics is the economic theory of
information as a new asset class, and the
discipline of accounting for and managing
information as any other enterprise asset.
Information Accounting
• Measure potential versus
realized value of information
• Justify IT-business initiatives
• Productize information
• Claim corp value premium
Information Asset Mgt
• Inventory information
• Assess information quality
• Enrich information
• Deliver information
27. Business Analytics Framework
Business Strategy and Enterprise Metrics
Information
ProgramManagement
MetadataandServices
Consume
Produce
Enable
People
Analytic
Processes
Information
Infrastructure
Processes
Business and
Decision
ProcessesProcesses
Decision Capabilities
Collaboration Decision Making,
Intelligent Decision Automation,
Applications
Analytic Capabilities
Descriptive, Diagnostic,
Predictive, Prescriptive
Information Capabilities
Describe, Organize, Integrate,
Share, Govern, Implement
Platform
P e r f o r m a n c e
Source: Gartner
28. The New Stack
Enterprise Data
Social Data, News Feeds, Web Logs, Call Center
Email, Documents, Video, Speech, etc.
Integrate
Data Integration
Text, Video, Speech Mining, Social Monitoring
Sentiment, Network Analysis
Structured Content
Store,Manage,
Organize,Correlate
EDW, Data Marts
Search
MapReduce,
NoSQL,
Other
Bioalgorithmic
Graph
Analytics
Exploreand
Analyze
Descriptive
Analytics
Diagnostic
Analytics
Predictive
Analytics
Prescriptive
Analytics
Mobile, Collaboration, Social, Embedded in Business Process
Share,Act
Collaborate
Logical Data Warehouse
29. Use a Pace-Layered Information Strategy
Information of Differentiation
Information of Record
Information of Innovation
"I know what I
want, but it needs
to be different from
my competitors."
"I know what I
want, and it doesn't
have to be unique."
"I don't know
exactly what I
want. I need to
experiment."
Patterns
Visualization
Forecasting
Optimization
Transactions
Reporting
30. Establish a Competency Center
Business Skills
• Metrics and decisions
• Organization and
process
Information Skills
• Data/content
management
• Data integration and
prep
Analytic Skills
• Business
modeling
• Statistical and
process
Develop
user skills
Control
funding
Define vision and
strategyManage
programs
Organize
methodology
leadership
Build
technology
blueprint
Establish
standards
31. Recommendations
• Focus the accumulation, administration and
application of information on broad, balanced and
select business drivers
• Connect and integrate external ideas, external
information sources and external constituents to
pilot your entire business ecosystem
• Lead your organization with disciplined ways of
valuing and managing information, applying it
strategically, and monetizing it more directly
32. Recommended Reading
Operationalizing the Information Capabilities
Framework
Debra Logan, Anne Lapkin (G00234554)
Information Innovation: The Art of the Possible
Stephen Prentice, Douglas Laney (G00233291)
Introducing Infonomics: Valuing Information as a
Corporate Asset
Douglas Laney (G00227057)
Prepare to Be an Information Leader
Debra Logan, Mark Rashino (G00229462)
Editor's Notes
Although recent Gartner research shows that CEOs have an ever greater focus on information as a business differentiator, we frequently find that their direct reports and other business leaders still have a very silo-ed view of 'what information is important'. In original research done for his 2003 Harvard Press book, "Heads Up," Gartner analyst Ken McGee discovered that CEOs can almost always answer the following question with barely a pause for thought: "If there was one additional piece of information you could use, what it would be?" The need is already evident to them, and the answer is already on their lips. This is a very powerful probe for anyone trying to target information and technology to better effect in a business. We used it in this year's CEO survey, and the results were fascinating. Customer, competitor and sales intelligence were the top three items on the list, although in North America, CEOs were also very concerned about legal and regulatory information. IT and IT systems tend to be very good at producing tactical, focused information: what the CFO needs, what HR needs, what sales needs. What we are less good at producing is information that takes a cross business view in a longer time frame. That is not because it cannot be done. It is because we are busy responding to the tactical requests thrown at us by focused business leaders. Similarly, many CEOs know what information they need right now, but not what they may need in the future. Therein lies the opportunity for the CIO to become an information innovation leader.
Although recent Gartner research shows that CEOs have an ever greater focus on information as a business differentiator, we frequently find that their direct reports and other business leaders still have a very silo-ed view of 'what information is important'. In original research done for his 2003 Harvard Press book, "Heads Up," Gartner analyst Ken McGee discovered that CEOs can almost always answer the following question with barely a pause for thought: "If there was one additional piece of information you could use, what it would be?" The need is already evident to them, and the answer is already on their lips. This is a very powerful probe for anyone trying to target information and technology to better effect in a business. We used it in this year's CEO survey, and the results were fascinating. Customer, competitor and sales intelligence were the top three items on the list, although in North America, CEOs were also very concerned about legal and regulatory information. IT and IT systems tend to be very good at producing tactical, focused information: what the CFO needs, what HR needs, what sales needs. What we are less good at producing is information that takes a cross business view in a longer time frame. That is not because it cannot be done. It is because we are busy responding to the tactical requests thrown at us by focused business leaders. Similarly, many CEOs know what information they need right now, but not what they may need in the future. Therein lies the opportunity for the CIO to become an information innovation leader.
Although recent Gartner research shows that CEOs have an ever greater focus on information as a business differentiator, we frequently find that their direct reports and other business leaders still have a very silo-ed view of 'what information is important'. In original research done for his 2003 Harvard Press book, "Heads Up," Gartner analyst Ken McGee discovered that CEOs can almost always answer the following question with barely a pause for thought: "If there was one additional piece of information you could use, what it would be?" The need is already evident to them, and the answer is already on their lips. This is a very powerful probe for anyone trying to target information and technology to better effect in a business. We used it in this year's CEO survey, and the results were fascinating. Customer, competitor and sales intelligence were the top three items on the list, although in North America, CEOs were also very concerned about legal and regulatory information. IT and IT systems tend to be very good at producing tactical, focused information: what the CFO needs, what HR needs, what sales needs. What we are less good at producing is information that takes a cross business view in a longer time frame. That is not because it cannot be done. It is because we are busy responding to the tactical requests thrown at us by focused business leaders. Similarly, many CEOs know what information they need right now, but not what they may need in the future. Therein lies the opportunity for the CIO to become an information innovation leader.
Big data isn't the only stream of innovation in IM. We are in the middle of what Gartner calls "The Nexus of Forces." It is in the combination of various areas of innovation where new opportunities arise. The four forces that Gartner identified are Mobile, Social, Cloud and Information. What do we see happening in the world of information, when combined with the other areas?
The control and differential exploitation of new forms of information will be a defining capability of the most successful companies of the future. CIOs must make this a key part of their role in the firm. This presentation will cover the new types of information that will define competition in the coming decade, how to position your enterprise to win, and how the CIO can capture these opportunities.What FOUR business drivers should you focus on to get more value from information?How can the CIO connect with the business leaders who most need this information?What can you do to prepare to be an information leader and to gain competitive advantage?
The control and differential exploitation of new forms of information will be a defining capability of the most successful companies of the future. CIOs must make this a key part of their role in the firm. This presentation will cover the new types of information that will define competition in the coming decade, how to position your enterprise to win, and how the CIO can capture these opportunities.What FOUR business drivers should you focus on to get more value from information?How can the CIO connect with the business leaders who most need this information?What can you do to prepare to be an information leader and to gain competitive advantage?
Although recent Gartner research shows that CEOs have an ever greater focus on information as a business differentiator, we frequently find that their direct reports and other business leaders still have a very silo-ed view of 'what information is important'. In original Gartner research discovered that CEOs can almost always answer the following question with barely a pause for thought: "If there was one additional piece of information you could use, what it would be?" The need is already evident to them, and the answer is already on their lips. This is a very powerful probe for anyone trying to target information and technology to better effect in a business. We used it in this year's CEO survey, and the results were fascinating. Customer, competitor and sales intelligence were the top three items on the list, although in North America, CEOs were also very concerned about legal and regulatory information. IT and IT systems tend to be very good at producing tactical, focused information: what the CFO needs, what HR needs, what sales needs. What we are less good at producing is information that takes a cross business view in a longer time frame. That is not because it cannot be done. It is because we are busy responding to the tactical requests thrown at us by focused business leaders. Similarly, many CEOs know what information they need right now, but not what they may need in the future. Therein lies the opportunity for the CIO to become an information innovation leader.
Key Issue: What business drivers should you focus on to get more value from information?According to the customer reference survey for the Gartner Magic Quadrant for BI platforms in 2012, organizations predominantly use BI technologies that measure the past — such as reporting, ad hoc analysis, and dashboards — with around one-third of organizations reporting extensive use of diagnostic capabilities for interactive visualization and online analytical processing (OLAP). Only a small percentage of organizations (13%) currently report extensive use of predictive analytics. Moreover, Gartner estimates that an even smaller percentage of organizations (under 3%) use prescriptive capabilities such as decision/mathematical modelling, simulation and optimization. This trend is changing as organizations express an interest in increasing their use of advanced styles of analytics including: diagnostic styles of analysis (OLAP, interactive visualization, descriptive modelling); prediction (statistics, predictive modelling machine learning); and prescription (decision/mathematical modelling, simulation, optimization), because of their significant potential to create business value and competitive advantage. This shift in usage and investment toward the more advanced end of the analytics continuum, in which line of business owners will play a dominant role, will require substantially different processes, resources, technologies, vendors and skills than traditional report development. Action item: Investigate the skills necessary to support advanced analytics and start training both IT and LOB leaders.
Key Issue: What business drivers should you focus on to get more value from information? Although customer relationship management remains a big focus and the technology category most likely to attract IT investment over the next five years, focusing ONLY on the customer is a narrow view. Don't become fixated on customer intimacy. Leading edge organizations are also seeking and analyzing information about suppliers, partners, government regulators, the media, local and national communities, industry organizations and employees. Ensure a balance across the entire spectrum of stakeholders and influencers. One of the most promising areas for discovering and applying new types of information is within a company's employee base. Numerous studies show a clear link between employee engagement and company success as measured by revenue and profitability. While customer sentiment analysis is a growing field, we have not yet seen organizations deploying tools to analyze employee email and social media interaction to provide a measure of employee engagement. Some organizations analyze time-off and overtime behavior, but this is rarely related back to engagement or disengagement, even though there is a strong correlation. There are valid privacy and employment law issues to address; but with correct safeguards, mining employee communications would provide significant feedback. Using LinkedIn or Xing to analyze where employees are going when they leave a company may help you discover your disengagement drivers. Websites such as glassdoor.com provide valuable insight into how employees view their employers. Action item: Think beyond 'customer' when it comes to finding and using information.
Key Issue: What business drivers should you focus on to get more value from information?Corporate/enterprise governance is not new, but it is an ever-growing area of focus for organizations, especially at the board level. The recent global financial crisis has once again placed corporate governance at the forefront. Two principles of corporate governance (disclosure and transparency — board responsibilities) are closely linked to information and information governance. Action Item:
Key Issue: What business drivers should you focus on to get more value from information?Unleashing digital value entails going beyond internal process automation to innovation of all parts of the business model, while focusing on digital leadership. IT and information used in new ways can radically change how businesses operate and win. Mobile, social, cloud and information/analytics technologies are driving deep business innovation; other drivers are the Consumerization of IT, the Internet of Things and additive manufacturing (e.g., 3D printing). These technologies hold opportunities to change businesses, industries and even national economies.
The control and differential exploitation of new forms of information will be a defining capability of the most successful companies of the future. CIOs must make this a key part of their role in the firm. This presentation will cover the new types of information that will define competition in the coming decade, how to position your enterprise to win, and how the CIO can capture these opportunities.What FOUR business drivers should you focus on to get more value from information?How can the CIO connect with the business leaders who most need this information?What can you do to prepare to be an information leader and to gain competitive advantage?
Connecting: connecting is good and necessary, but still all bringing different POVs to the table. Not seeing the same things. May want to add to the graphic in a way that shows how different people have their different systems backing them. Some stuff is 'behind my back' I don't see the three-sixty view.
Board directors have placed a high priority on IT in a number of ways, as expressed in the 2012 Gartner-Forbes Board of Directors Survey: IT is the top priority for investment, tied with sales. 50% of respondents agreed with the statement, "In our industry, we see IT as a way to change the rules of competition." The emphasis of the board's top priorities is to drive revenue growth with customers, core competencies and innovation. Recommendation:Have your investment ideas ready for board approval. Make sure you speak in the language of board priorities when making the case, not the language of technology (see "Working With the Board of Directors").
The control and differential exploitation of new forms of information will be a defining capability of the most successful companies of the future. CIOs must make this a key part of their role in the firm. This presentation will cover the new types of information that will define competition in the coming decade, how to position your enterprise to win, and how the CIO can capture these opportunities.What FOUR business drivers should you focus on to get more value from information?How can the CIO connect with the business leaders who most need this information?What can you do to prepare to be an information leader and to gain competitive advantage?
We are living through the second half of the Information Age. Computers and networking are becoming ubiquitous highly reliable — and as the cloud gradually takes up the strain of daily infrastructure operations — management attention will start to switch more to the quality and variety of information itself. The social Internet, inexpensive sensors, the Internet of Things and other trends will cause an explosion in the types of information that are available. Competition will increasingly be defined by differential access, control and value recognition, and the exploitation of information. With this shift in mind, we asked CEOs about the new kinds of information they anticipate as being disruptive in the next few years. Management thinking at this "information as strategy" level is not yet well-practiced (just as business model thinking wasn't mainstream and well-rehearsed a decade ago). This is evident in CEO replies. Half the respondents could not provide an answer, or they actually named a technology — demonstrating the confusion of clearly distinguishing the tools from the stuff of value they help us collect and process. New kinds of information will disrupt most industries. The fact that half the CEOs can't name what's coming down the pipe toward them, at this level of strategic thinking, should be a concern to boards of directors. CIOs and CEOs should sit down together and sketch out the frame of a high level (less than 10 pages) information strategy for their firms. This will describe the new kinds and quality levels of information the company will likely need over the next few years, the sources of it, the ways it will be applied in the industry, and how the company will do at least as well as or better than its competitors at assimilating and exploiting it.
Key Issue: How can you prepare to be an information leader? Tremendous opportunities for radical information based change of the business model exist in most if not all enterprises. Yet most CIOs have been targeting automation of the operations of the enterprise, when there are now opportunities (and in some case imperatives) to support a business strategy based on information innovation. Since extending information innovation to the whole business model requires a change in leadership, focus and behaviors, the CIO must aim to become the chief digital officer or chief data officer(CDO) or support a colleague in this role. You can take one of three paths in addressing the CDO question. First, you can make no structural changes, simply handle the digital opportunities tactically around the enterprise, most often in sales and marketing, since many of these are customer facing. Second, you can formally absorb the CDO's broader digital scope into the CIO's area. Finally, you can leave the current IT department as the back-office automation engine and appoint a CDO. Action item: Whether CIOs absorb or move formally into the CDO role, they should behave like a CDO and lead CDO-like initiatives even before they take the role. In other words, if you believe the CDO role is an opportunity, begin acting as CDO now.
Key Issue: How can you prepare to be an information leader?
Key Issue: How can you prepare to be an information leader?We are ultimately suggesting that organizations manage information as an asset and that IT have an opportunity to lead this effort. When information is managed as an asset and made available as a service to processes and systems, it becomes possible to create entirely new revenue streams and business models. (An example is an airport that is collecting location information from people's Wi-Fi devices — so it can model for better passenger flow and punctuality. Another example is an international supermarket chain that has already started to research how newly available human gesture information might be captured and used in its business.) Principles of infonomics:Information is an actual asset (if not a recognized asset class)Information has both potential and realized valueInformation's value can be quantifiedInformation should be accounted for as an asset (internally)Information's realized value should be maximizedInformation's value should be used to help budget IT and business initiativesInformation should be managed as an assetStop regarding information as a just a byproduct or resource
Key Issue: How can you prepare to be an information leader?The ICF is a conceptual framework. Just because capabilities appear once in the framework does not mean that you should have only one way of delivering them. Indeed, a capability as simple as storage ("persist" in the framework) will be delivered very differently when you are storing transaction data than if you are storing documents, images or audio files. Recognize where capabilities need to be delivered consistently (for example, entity resolution or semantic reconciliation) and where they can be delivered in multiple ways by multiple products. When capabilities need to be delivered consistently, you will need to decide which of the technologies delivering this capability has the "authority" over the information to avoid multiple and conflicting versions. Other technologies delivering that capability will need to be subordinate to the authoritative capability.As you develop solutions for new use cases, improve on the delivery of existing use cases, or add new information sources, use the framework to design an information environment that is more focused on loose coupling of use cases — and tighter coupling of information capabilities — to information. This will promote information sharing as well as making the environment less brittle in the event of changes to business processes or emerging requirements to incorporate new information types and sources. As you approach these new solutions, pay particular attention to the semantic style of each use case. For example, a use case that is primarily about pulling consolidated views of information together from multiple sources will typically have a "consolidation" semantic style and will be primarily focused on the capabilities in "integrate," while a specific implementation of master data management, which is primarily about consistency and integrity of information, will likely have an "auditing" style that is focused primarily on the capabilities in "govern," though it will use capabilities from "integrate" and other categories as well.
What is missing is the metadata layer – and this is where the logical data warehouse fits in.
Key Issue: How can you prepare to be an information leader?In the past, many companies have had a single strategy for selecting, deploying and managing applications. They may have had methodologies for classifying applications by value or technological viability, but they did not recognize that applications are fundamentally different based on how they are used by the organization. Gartner has created three application categories to distinguish these application types and to help organizations develop more appropriate strategies for each one. The same application may be classified differently in one company than in another, based on its usage and relationship to that business model. We also expect to see applications move between "layers" as they mature, or as the business process shifts from experimental to understood.
Key Issue: How can you prepare to be an information leader?