#IBMInsight Session presentation "Transforming your Enterprise to Get Value from BigData and Analytics: How to Get Started".
Transforming Your Enterprise to Get Value from Big Data
and Analytics: How to Get Started
The Journey, The Value Analytics Drives, Analytics Leadership and Governance, Analytics Case Studies, Best Practices for Getting Started
More at ibm.biz/BdEPRs
World of Watson 2016: Journey to Cognitive Excellence - Harness the Force of ...Julie Severance
Becoming a cognitive business is a journey, not a destination. A cognitive analytics culture is not something you can just buy or install. Although the right technology is crucial, its true value arises when the organizational mindset changes. Many organizations have learned to embrace analytics, but embracing cognitive is another step entirely, and it’s one that may be even more challenging. However, the possibilities are endless and the potential rewards make it worthwhile.
How the Analytics Translator can make your organisation more AI drivenSteven Nooijen
Today, about 80% of companies considers data as an essential part of their strategy. However, although most of these companies are taking models into production, they still have trouble turning their data and insights into valuable AI solutions. With businesses heavily invested in data and AI, what is it that actually makes the difference for being successful with AI?
In this talk, I will argue that the extent to which AI is embedded in the organisation is crucial to success. Furthermore, I will show why the Analytics Translator is the designated person to drive AI adoption by the business and what his or her tasks should look like. The insights shared come from our own experience as consultants as well as interviews with top Dutch enterprises about their AI maturity.
These slides--based on the webinar hosted by leading IT analyst firm Enterprise Management Associates (EMA) and Digitate--provide insights into the impact of machine learning on managing workload automation.
The Connected Business Survey: Improving Integration and Creating Connectivit...DellBoomi
The study, conducted for Dell Boomi by the research firm Vanson Bourne, is based on a global survey of 900 IT decision-makers that outlines the state of integration today, the effect of poor integration, and the benefits realized when integration fully connects a business. Highlights of the survey results include:
How to make data-driven interactive PowerPoint presentations for operationsGramener
Interactive data-driven presentations are a new way of presenting data. They allow the presenter and the audience to engage actively and drill into the data within PowerPoint.
Author: S. Anand - CEO, Gramener
Check out the full webinar on the topic: https://info.gramener.com/interactive-powerpoint-for-operations
World of Watson 2016: Journey to Cognitive Excellence - Harness the Force of ...Julie Severance
Becoming a cognitive business is a journey, not a destination. A cognitive analytics culture is not something you can just buy or install. Although the right technology is crucial, its true value arises when the organizational mindset changes. Many organizations have learned to embrace analytics, but embracing cognitive is another step entirely, and it’s one that may be even more challenging. However, the possibilities are endless and the potential rewards make it worthwhile.
How the Analytics Translator can make your organisation more AI drivenSteven Nooijen
Today, about 80% of companies considers data as an essential part of their strategy. However, although most of these companies are taking models into production, they still have trouble turning their data and insights into valuable AI solutions. With businesses heavily invested in data and AI, what is it that actually makes the difference for being successful with AI?
In this talk, I will argue that the extent to which AI is embedded in the organisation is crucial to success. Furthermore, I will show why the Analytics Translator is the designated person to drive AI adoption by the business and what his or her tasks should look like. The insights shared come from our own experience as consultants as well as interviews with top Dutch enterprises about their AI maturity.
These slides--based on the webinar hosted by leading IT analyst firm Enterprise Management Associates (EMA) and Digitate--provide insights into the impact of machine learning on managing workload automation.
The Connected Business Survey: Improving Integration and Creating Connectivit...DellBoomi
The study, conducted for Dell Boomi by the research firm Vanson Bourne, is based on a global survey of 900 IT decision-makers that outlines the state of integration today, the effect of poor integration, and the benefits realized when integration fully connects a business. Highlights of the survey results include:
How to make data-driven interactive PowerPoint presentations for operationsGramener
Interactive data-driven presentations are a new way of presenting data. They allow the presenter and the audience to engage actively and drill into the data within PowerPoint.
Author: S. Anand - CEO, Gramener
Check out the full webinar on the topic: https://info.gramener.com/interactive-powerpoint-for-operations
Modernizing the Enterprise Monolith: EQengineered Consulting Green PaperMark Hewitt
Are you an enterprise that recognizes the business liability inherent in the monolithic or otherwise dated enterprise software applications you have built? Does your technology represent an impediment to the needed agility and flexibility required to meet the needs of today’s business environment?
Historically, enterprise software development focused on an approach that incorporated all functionality into a single process, and replicated it across servers as additional capacity was required. Today, these large applications have become bloated and unmanageable as new features and functionality are added. And, as small changes are made to existing functionality, the requirements to update and redeploy the server-side application becomes an intractable juggernaut.
Forward-thinking organizations like Amazon and Netflix led the way toward agile processes, deconstructed software stacks, and efficient APIs. Both large and small organizations serious about embracing modern practices have followed by decoupling the front and back end of their enterprise applications, employing microservices and cloud technologies, and adopting agile methodologies. These very steps can serve to highlight additional technical deficits in old solutions and codebases, which in turn become stumbling blocks to modern development practices.
As these technology trends continue to evolve, how can your company keep pace and remain viable?
In this green paper, we discuss how CIOs, CTOs, and VPs of Engineering can lead the needed modernization with their counterparts in marketing and the business to ensure that their organizations remain competitive in today’s customer-driven and technology-led economy.
Key questions addressed include:
• Why is technical modernization vital for the business?
• What types of modernization projects are there?
• How does modernization fit into your organization?
Creating your Center of Excellence (CoE) for data driven use casesFrank Vullers
NEED FOR CHANGE: Data is changing the world. We all know that. The real challenge will be to keep up with those changes by hiring the right team to help you take on the data that is already in your organization.
STAFF FOR SUCCES: Make sure you have an executive sponsor that has a vision for how the organization can become data-driven; hire experienced team members to lead the data engineering, and architecture teams; and adopt agile methodologies to allow for quick experimentation and quick failures.
SKILL UP: In a recent survey focused on Spark, over 60 percent indicated that the skills/training gap was their biggest organizational challenges with Spark, but 65% of respondents indicated that they either did not know or had no future plans for training. Cloudera University to get them ramped up quickly. Cloudera University helps organizations tackle the skill gaps issue they encounter when growing their teams and helps them stay up to date on the latest supported technologies.
Validating and Promoting HR Strategies with Data and AnalyticsMark Lawrence
CIPD HRBP Conference Address, November 2014 (London)
Disclaimer: Mark Lawrence is no longer an employee of IBM. This content was presented with permission, to the CIPD community; although IBM materials feature in this presentation, the views and opinions reflected belong to Mark Lawrence. To avoid compromising confidentiality, details relating to use cases have been removed; remaining material should be publicly available (references are included).
While many CIOs point to cost savings as the primary driving force of their Cloud initiatives, a growing number are seeing broader benefits that are focusing their team on delivering greater business value. Hudson CIO Mike Whitmer, and Trex CIO Kirby Miner presented a webinar on migrating to the Cloud and the ramifications on their budgets, their business and their people.
Topics include:
• Real-world Cloud ROI calculations: benchmark your potential for cost savings
• The business case for migrating to Cloud: to share outside the IT department
• How to get started with a hybrid approach: so you can see immediate benefit
• How the Cloud will impact your staff: key issues to address within your organization
Data Trends for 2019: Extracting Value from DataPrecisely
To get the most business value from data, you need to keep up with the latest tech trends – or do you?
View this webinar on-demand as we share the results from our 2019 Data Trends Survey! We'll reveal what organizations around the world are really up to at the intersection of technology, big data and business.
Key topics include:
• Business initiatives getting the most IT support in 2019
• Highest-priority IT initiatives
• Tech adoption rates, benefits and challenges
IDC Nordics - Directions 2015 Digital transformation Services and sourcingJohan Hallberg
This presentation was shown at IDC Nordics Direction 2015 and answers the two main questions: What is the business implications for solution and service providers in the Nordics with the digital transformation? What is the business priorities for 2015 and why?
Operationalizing the Buzz: Big Data 2013VMware Tanzu
The 2013 EMA/9sight Big Data research makes a clear case for the maturation of Big Data as a critical approach for innovative companies. This year’s survey went beyond simple questions of strategy, adoption and use to explore why and how companies are utilizing Big Data. This year’s findings show an increased level of Big Data sophistication between 2012 and 2013 respondents. An improved understanding of the “domains of data” drives this increased sophistication and maturity. Highly developed use of
Process-mediated, Machine-generated and Human-sourced information is prevalent throughout this year’s study.
CIOs tell The Economist Magazine's Intelligence Unit how they're becoming more strategic to their businesses via
http://pinterest.com/pin/251920172879153093/
Check out these slides - based on the webinar featuring Dennis Drogseth, VP of research at leading IT analyst firm Enterprise Management Associates (EMA), and Julie Craig, research director at EMA, to get insights into customer-experience management, internal user experience management and broad-based initiatives for digital experience management.
IT is often hesitant about taking new directions because of the number of unfamiliar technologies competing for attention, budgetary constraints, fear of change, and skepticism about which new direction will actually provide value. Pick the right technologies to deploy in 2011 and stay ahead of the curve.
•Understand which new technologies provide clear organizational value.
•Identify the candidate new technologies the organization should consider in 2011.
•Assess technology which should be retired in preparation for the new technology.
Use this solution set to help plan technology adoption for 2011 and beyond. An assessment tool for helping with the selection process is also included in this set.
Economist Intelligence Unit 2013 report explores the business impact of strategic CIOs and offers advice to CIOs transitioning to a more strategic role.
ERP Optimization: How to Save Cost And Gear Up For Business Innovation Simult...CAST
This slide presentation features Liz Herbert, Principal Analyst with Forrester Research Inc, on how to take control of your ERP system to enable growth and revenue generation by learning to:
-Find the balance between cost control and business innovation
-Manage the TCO of ERP systems by reducing complexity
-Identify performance and stability vulnerabilities by focusing on the quality of customizations
To watch the complete webinar, visit http://www.castsoftware.com/news-events/event/erp-customization-kills-innovation?gad=ss
The Analytics CoE: Positioning your Business Analytics Program for SuccessCartegraph
This Loras College Business Analytics Symposium breakout session presentation by Kiran Garimella, Ph.D., president and founder of XBITALIGN, explored the analytics center of excellence (CoE).
A business analytics program is more than the application of data science and Big Data technology to data. Success should be measured not only by the valuable insights the program delivers, but also by how well it is sustained and how much the ‘analytics mindset’ becomes part of the company’s DNA. The journey is not only from data to information, but also from information to knowledge, and from knowledge to intelligence. The foundation for making this happen is a well-structured Analytics Center of Excellence (CoE).
M&A’s are among the biggest challenges for companies and their IT organizations to navigate. They often create issues that cannot be dealt with conventional leadership and management techniques. The role of information systems in mergers and acquisitions (M&A) becomes increasingly important as the need for speed of reaction and information is growing.
How to set up an ai center of excellenceShranik Jain
Recently while exploring the field of "Artificial Intelligence in Organization context" able to create some content around "How Setting up an AI centre of excellence" can provide a leap in the dynamic environment of AI
#mba #organization #artificalintelligence
Modernizing the Enterprise Monolith: EQengineered Consulting Green PaperMark Hewitt
Are you an enterprise that recognizes the business liability inherent in the monolithic or otherwise dated enterprise software applications you have built? Does your technology represent an impediment to the needed agility and flexibility required to meet the needs of today’s business environment?
Historically, enterprise software development focused on an approach that incorporated all functionality into a single process, and replicated it across servers as additional capacity was required. Today, these large applications have become bloated and unmanageable as new features and functionality are added. And, as small changes are made to existing functionality, the requirements to update and redeploy the server-side application becomes an intractable juggernaut.
Forward-thinking organizations like Amazon and Netflix led the way toward agile processes, deconstructed software stacks, and efficient APIs. Both large and small organizations serious about embracing modern practices have followed by decoupling the front and back end of their enterprise applications, employing microservices and cloud technologies, and adopting agile methodologies. These very steps can serve to highlight additional technical deficits in old solutions and codebases, which in turn become stumbling blocks to modern development practices.
As these technology trends continue to evolve, how can your company keep pace and remain viable?
In this green paper, we discuss how CIOs, CTOs, and VPs of Engineering can lead the needed modernization with their counterparts in marketing and the business to ensure that their organizations remain competitive in today’s customer-driven and technology-led economy.
Key questions addressed include:
• Why is technical modernization vital for the business?
• What types of modernization projects are there?
• How does modernization fit into your organization?
Creating your Center of Excellence (CoE) for data driven use casesFrank Vullers
NEED FOR CHANGE: Data is changing the world. We all know that. The real challenge will be to keep up with those changes by hiring the right team to help you take on the data that is already in your organization.
STAFF FOR SUCCES: Make sure you have an executive sponsor that has a vision for how the organization can become data-driven; hire experienced team members to lead the data engineering, and architecture teams; and adopt agile methodologies to allow for quick experimentation and quick failures.
SKILL UP: In a recent survey focused on Spark, over 60 percent indicated that the skills/training gap was their biggest organizational challenges with Spark, but 65% of respondents indicated that they either did not know or had no future plans for training. Cloudera University to get them ramped up quickly. Cloudera University helps organizations tackle the skill gaps issue they encounter when growing their teams and helps them stay up to date on the latest supported technologies.
Validating and Promoting HR Strategies with Data and AnalyticsMark Lawrence
CIPD HRBP Conference Address, November 2014 (London)
Disclaimer: Mark Lawrence is no longer an employee of IBM. This content was presented with permission, to the CIPD community; although IBM materials feature in this presentation, the views and opinions reflected belong to Mark Lawrence. To avoid compromising confidentiality, details relating to use cases have been removed; remaining material should be publicly available (references are included).
While many CIOs point to cost savings as the primary driving force of their Cloud initiatives, a growing number are seeing broader benefits that are focusing their team on delivering greater business value. Hudson CIO Mike Whitmer, and Trex CIO Kirby Miner presented a webinar on migrating to the Cloud and the ramifications on their budgets, their business and their people.
Topics include:
• Real-world Cloud ROI calculations: benchmark your potential for cost savings
• The business case for migrating to Cloud: to share outside the IT department
• How to get started with a hybrid approach: so you can see immediate benefit
• How the Cloud will impact your staff: key issues to address within your organization
Data Trends for 2019: Extracting Value from DataPrecisely
To get the most business value from data, you need to keep up with the latest tech trends – or do you?
View this webinar on-demand as we share the results from our 2019 Data Trends Survey! We'll reveal what organizations around the world are really up to at the intersection of technology, big data and business.
Key topics include:
• Business initiatives getting the most IT support in 2019
• Highest-priority IT initiatives
• Tech adoption rates, benefits and challenges
IDC Nordics - Directions 2015 Digital transformation Services and sourcingJohan Hallberg
This presentation was shown at IDC Nordics Direction 2015 and answers the two main questions: What is the business implications for solution and service providers in the Nordics with the digital transformation? What is the business priorities for 2015 and why?
Operationalizing the Buzz: Big Data 2013VMware Tanzu
The 2013 EMA/9sight Big Data research makes a clear case for the maturation of Big Data as a critical approach for innovative companies. This year’s survey went beyond simple questions of strategy, adoption and use to explore why and how companies are utilizing Big Data. This year’s findings show an increased level of Big Data sophistication between 2012 and 2013 respondents. An improved understanding of the “domains of data” drives this increased sophistication and maturity. Highly developed use of
Process-mediated, Machine-generated and Human-sourced information is prevalent throughout this year’s study.
CIOs tell The Economist Magazine's Intelligence Unit how they're becoming more strategic to their businesses via
http://pinterest.com/pin/251920172879153093/
Check out these slides - based on the webinar featuring Dennis Drogseth, VP of research at leading IT analyst firm Enterprise Management Associates (EMA), and Julie Craig, research director at EMA, to get insights into customer-experience management, internal user experience management and broad-based initiatives for digital experience management.
IT is often hesitant about taking new directions because of the number of unfamiliar technologies competing for attention, budgetary constraints, fear of change, and skepticism about which new direction will actually provide value. Pick the right technologies to deploy in 2011 and stay ahead of the curve.
•Understand which new technologies provide clear organizational value.
•Identify the candidate new technologies the organization should consider in 2011.
•Assess technology which should be retired in preparation for the new technology.
Use this solution set to help plan technology adoption for 2011 and beyond. An assessment tool for helping with the selection process is also included in this set.
Economist Intelligence Unit 2013 report explores the business impact of strategic CIOs and offers advice to CIOs transitioning to a more strategic role.
ERP Optimization: How to Save Cost And Gear Up For Business Innovation Simult...CAST
This slide presentation features Liz Herbert, Principal Analyst with Forrester Research Inc, on how to take control of your ERP system to enable growth and revenue generation by learning to:
-Find the balance between cost control and business innovation
-Manage the TCO of ERP systems by reducing complexity
-Identify performance and stability vulnerabilities by focusing on the quality of customizations
To watch the complete webinar, visit http://www.castsoftware.com/news-events/event/erp-customization-kills-innovation?gad=ss
The Analytics CoE: Positioning your Business Analytics Program for SuccessCartegraph
This Loras College Business Analytics Symposium breakout session presentation by Kiran Garimella, Ph.D., president and founder of XBITALIGN, explored the analytics center of excellence (CoE).
A business analytics program is more than the application of data science and Big Data technology to data. Success should be measured not only by the valuable insights the program delivers, but also by how well it is sustained and how much the ‘analytics mindset’ becomes part of the company’s DNA. The journey is not only from data to information, but also from information to knowledge, and from knowledge to intelligence. The foundation for making this happen is a well-structured Analytics Center of Excellence (CoE).
M&A’s are among the biggest challenges for companies and their IT organizations to navigate. They often create issues that cannot be dealt with conventional leadership and management techniques. The role of information systems in mergers and acquisitions (M&A) becomes increasingly important as the need for speed of reaction and information is growing.
How to set up an ai center of excellenceShranik Jain
Recently while exploring the field of "Artificial Intelligence in Organization context" able to create some content around "How Setting up an AI centre of excellence" can provide a leap in the dynamic environment of AI
#mba #organization #artificalintelligence
#IBMInsight session presentation "Orchestrating a Customer-Activated Supply Chain"
Assembling the pieces of a customer-activated supply chain involves activities on three dimensions: Sharpen visibility and insight, Partner for innovation, Become customer-activated
IBM supply chain analytics solutions to leverage Big Data
More at ibm.biz/BdEPRX
Insight2014 ibm client_center_4_adv_analytics_7171IBMgbsNA
#IBMInsight session presentation "Your Competitive Advantage: The IBM Client Center for Advanced Analytics (CCAA)"
Introduction to the Client Center for Advanced Analytics, Analytics and Insight – deriving business value, Case Studies and Demo – using SPSS and BigInsights, Data, Capabilities and Infrastructure – bringing it all together, Getting Started with CCAA.
More at www.ibm.biz/BdEPRD
#IBMInsight session presentation "Mitigate Risk, Combat Fraud and Financial Crimes"
The Issue of fraud, challenges, fighting fraud as an enterprise endeavor, IBM Smarter counter fraud framework and IBM Counter Fraud business services
More at ibm.biz/BdEPRH
SAP implementation approach using IBM BPM - IBM Smarter Process for SAPIBMgbsNA
IBM Smarter Process for SAP drives SAP Solution Design in a consistent, managed, and highly collaborative way, to facilitate development of process models that execute the process while capturing process metrics and key business data for improved visibility and control
Predictive analytics are increasingly a must-have competitive tool. A well-defined workflow and effective decision modeling approach ensures that the right predictive analytic models get built and deployed.
Loras College 2014 Business Analytics Symposium | Daniel Rebella, Phil Pillsb...Cartegraph
Learn about monetizing big data financials, performance insights and performance management in the cloud.
For more information on the Loras College 2014 Business Analytics Symposium, the Loras College MBA in Business Analytics or the Loras College Business Analytics Certificate visit www.loras.edu/mba or www.loras.edu/bigdata.
Analytics: The Real-world Use of Big DataDavid Pittman
UPDATE: Register now to participate in the 2013 survey: http://ibm.com/2013bigdatasurvey IBM’s Institute for Business Value (IBV) and the University of Oxford released their information-rich and insightful report “Analytics: The real-world use of big data.” Based on a survey of over 1000 professionals from 100 countries across 25+ industries, the report provides insights into organizations’ top business objectives, where they are in their big data journey, and how they are advancing their big data efforts. It also provides a pragmatic set of recommendations to organizations as they proceed down the path of big data. For additional information, including links to a podcast with one of the lead researchers and a link to download the full report, visit http://ibm.co/RB14V0
The Softer Skills Analysts need to make an impactPaul Laughlin
25 min presentation given at London Business School, to the OR Society's Analytics Network. Summarising Laughlin Consultancy's 9 step model of Softer Skills for Analysts.
Anil Kaul, CEO and Co-Founder, AbsolutData delivered a session on institutionalizing Big Data analytics for organizations, at the Big Data Innovation Summit, London on 1st May, 2013.
AbsolutData is a global leader in applying analytics to drive sales and increase profits for its customers. AbsolutData has built strong expertise and traction with Fortune 1000 companies across 40 countries. We specialize in big data, high end business analytics, predictive modeling, research, reporting, social media analytics and data management services. AbsolutData delivers world class analytics solutions by combining their expertise in industry domains, analytical techniques and sophisticated tools.
Visit us here : www.absolutdata.com
Transforming Business with Smarter AnalyticsCTI Group
Transforming Business with Smarter Analytics by Deb Mukherji @ BPT IBM Innovative Indonesia with Smarter Analytics, 12 June 2013, Shangri-La Hotel Jakarta
IBM Global Technology Services: Partnering for Better Business OutcomesIBM Services
IBM can help you take advantage of the changes in technology – including Cloud, Social, Mobile, and Analytics – and devise the right partnering strategy to drive innovation for your organization.
Although Big Data is changing enterprise data architecture models, support for Big Data extends beyond the walls of IT. The most successful companies are focused on building strong business cases for Big Data to drive support, adoption and funding though the enterprise.
This webinar investigated the two perspectives in constructing a business case for Big Data as well as how to create a compelling business case for Big Data success.
During this webinar, we covered:
-Challenges Creating Business Cases for Big Data
-Two perspectives for building Big Data business-cases
-Building the business-focused case and getting to monetized benefits
-Fortifying your business case with IT-benefits
Expert data analytics prove to be highly transformative when applied in context to corporate business strategies.
This webinar covers various approaches and strategies that will give you a detailed insight into planning and executing your Data Analytics projects.
Check out these slides--based on the webinar from leading IT analyst firm Enterprise Management Associates (EMA)--to learn why organizations should consider embedded analytics as part of their overall business intelligence strategy.
An Internet Market Research professional, I am trilingual (French, English, German); I am energetic, like to work in team, and in open, multinational and multicultural environments; I like to beat challenges, to discover new areas, to decipher new trends, to be on the sharp edge.
I am especially at ease with Digital Data, providing innovative concepts and accurate data elicitation. A member of the Digital Analytics Association and a Certified Web Analyst, I am working on missions in the Data Management and Analytics field. I am also open to any assignment as a Chief Data Officer, be it temporary or permanent.
How to Capitalize on Big Data with Oracle Analytics CloudPerficient, Inc.
The average age of a company listed on the S&P 500 has fallen from almost 60 years old in the 1950s to less than 20 years old today. Innovative companies that are willing to embrace transformative technologies make the list today, while businesses that are hesitant to embrace change risk becoming obsolete.
Innovators use big data solutions as a competitive advantage to increase revenue, reduce cost, and improve cash flow. Turn big data into actionable insights with Oracle Analytics Cloud.
We identified the big data opportunities in front of you and how to take advantage of them:
-Big data and its architecture
-Why a big data strategy is imperative to remaining relevant
-How Oracle Analytics Cloud can help you connect people, places, data, and systems to fundamentally change how you analyze, understand, and act on information
Cloud analytics adoption is on the rise as organizations take advantage of a mature market place with solutions and technical infrastructure that support many different business use cases and platform needs. Key drivers of continued cloud adoption include time to value and speed of implementation. Based on end-user research, this webinar delivers a global view of the cloud-based implementation market for advanced analytics, business intelligence, and data management.
These slides - based on the webinar featuring John Myers, managing research director at leading IT analyst firm Enterprise Management Associates (EMA) and Lyndsay Wise, research director at EMA - provide an overview of:
- The most popular use cases for cloud-based implementations based on projects reviewed in this research
- Business and technical drivers for cloud adoption
- Trends in use of cloud technologies and requirements, including data integration and security
An introduction to BRIDGEi2i - Analytics Solutions company focused on solving complex based problems based on data mining and advanced analytics on big data. Visit http://www.bridgei2i.com
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
2. IBM IOD 2012 10/24/2014
The Journey
IBM’s Transformation Journey has been years in the
making with the analytics portion starting in 2004
• Deliver a signature IBM client experience with an engaged workforce
• Build a Smarter enterprise with data, cloud and systems of engagement
• Make IBM essential to clients, partners, investors and communities
Making things smarter
Analytics
Early years analytics applied to physical assets, i.e. manufacturing, supply chain
Then analytics applied to non physical processes / functional side i.e. sales
Now expansion more broadly used across the enterprise
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Transformation
designed to:
Sharing & partnering
Globally integrating
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3. IBM IOD 2012 10/24/2014
IBM’s Analytics Transformation is focused on business
outcomes
“Analytics will form a
silver thread that weaves
through the future of
everything we do.” Ginni
Rometty, Chairman and CEO,
IBM Corporation
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Fundamental Principles
• Pragmatic approach
• Focus on business outcomes
• Analytics is a way of doing business
Basic Building Blocks
• IBM Institute for Business Value Papers
• Great base for transformation with
value services structure
• Motivated leadership to make IBM
smarter and essential
The Value Analytics Drives
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4. IBM IOD 2012 10/24/2014
First, what do we mean by analytics?
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IDC – Independent Financial Impact Studies
“The median ROI for the
projects that incorporated
predictive technologies was
145%, compared with a
median ROI of 89% for those
projects that did not.”
Source: IDC, “Predictive Analytics and ROI:
Lessons from IDC’s Financial Impact Study”
Update: 2011 study shows ROI for predictive analytics at 250%!
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5. IBM IOD 2012 10/24/2014
Understanding how to create value from data has been the
focus of IBM’s analytics studies for 5 years.
A blueprint for value
2010 2011 2012 2013
Extracting value
from data and
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Analytics:
The new path to value
Operationalizing
analytics in
sophisticated
organizations
Analytics:
The widening
divide
Mastering analytic
competencies
Analytics:
The real world use
of big data
Fundamentals
of big data
Analytics:
analytics
The intelligent enterprise
and
Breaking away with BAO
2009
Defining analytics
as a strategic
asset
MIT Sloan Management Review & IBM Institute of Business
Value teamed up in 2010
IBM Institute for Business Value
•Surveyed 3,000 executives, managers and
analysts plus extensive interviews
•Respondents represent more than 30
industries in 108 countries
•Interviews with IBM and MIT thought leaders
•Analysis by IBM and MIT Sloan Management
Review team
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+
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8. IBM IOD 2012 10/24/2014
Analytics Leadership and
Governance
IBM’s Analytics Transformation Governance Model
Network of Analytic Communities
Data
Strategy
Shared Services
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Analytics
Communities Enterprise
Analytics
Practices
Information
Management
CIO Office
Global
Integrated
Enterprise
Big Data &
Analytics
University
Business
Performance
Services
Line of Business
Analytic Groups
IBM Research
Addressing business
challenges in LOBs
Enterprise
Transformation
Initiatives
Development
Groups
Infrastructure
Initial
Deployment
Channel
Education Portal
Scaling
Deployment
Product and
Solution offerings
Deep
mathematical
skills
Apply and solve business problems
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9. IBM IOD 2012 10/24/2014
Business Analytics Transformation
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Mission
Drive the Widespread Use of Analytics across IBM to Elevate Business
Performance
Long Term BAT Strategy
Transform for Growth using Analytics via 4 E's:
Evangelize – promote the value gained by using analytics
Educate – provide training in consuming and doing analytics
Enable – assist business leaders in solving their business
challenges with analytics
Empower – establish business structures to support people
implementing analytics
We leverage a rich set of products internally for Business
Analytics
computing The Customer-centricity
revolution
Social Network Analysis
Social Media Analysis
Voice of Customer
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Bring analytics to strategic
decisions
Collaboration Management
Highly scalable & big data
Smart Appliance
Stream Computing
Parallelization
Entity Analytics
Cloud Computing
Deployment to
decision makers
Dashboarding
Reporting
Visualization
Financial Data
Searching
IBM Analytics
Ecosystem
Core Analytics
Technologies
DataStage
Multi-channel deployment & management
Complex Event Processing, Business Process Management
Business Rules & Events (ILOG)
GBS
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10. IBM IOD 2012 10/24/2014
Analytics Case Studies –
Emily Plachy
Human Resources: Tailored analytics-driven
recommendations reduces attrition of high-value
employees
Business problem: Retaining high-value employees.
Solution:
Identify drivers of attrition and risk level for every
Leverage the model to create a customized retention
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$85M
Estimated net benefit through
reduced attrition in IBM’s growth
market employee population
325% ROI
For 2012-2013 investment
Solution components:
- IBM® SPSS Modeler
- IBM® Cognos BI
- IBM® ILOG CPLEX
employee.
plan for each high value employee.
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11. IBM IOD 2012 10/24/2014
Finance: Identify and mitigate acquisition risk by
leveraging data and analytics
Business problem: Acquisitions ‘synergies’ are
challenging to quantify and realize and can significantly
alter performance & financial expectations.
Solution: Use acquisition data and advanced analytics
models to create tailored risk profiles for each
contemplated deal and address throughout the
acquisition lifecycle.
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80+ Acquisitions
benefited from headlights into
execution risks to affect both
deal pricing and integration plan
End-to-End Risk
Management across the
acquisition portfolio
Streamlined tracking and
reporting to identify systemic risk
and address challenges
Solution components:
- IBM® SPSS Modeler, Statistics
- IBM® Cognos BI
- IBM®WebSphere
Sales: Boost sales effectiveness by applying advanced
analytics to align resources to the market opportunity.
Business problem: Deploying sellers for maximum revenue growth
by account.
Solution:
• Advanced analytical models predicting customer profit contribution
based on historic revenue growth and opportunity for every
account.
• Recommendation engine provides Increase / Decrease / Maintain
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resource shift recommendations at a client level.
$300M
estimated additional revenue
during 2013 due to sales force
productivity increase
3000% ROI
for 2013, based on a yearly
ongoing investment of $10M
Solution components:
- IBM® SPSS Modeler, Statistics
- IBM® Cognos BI
- IBM® Netezza
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12. IBM IOD 2012 10/24/2014
Services: Develop new business using analytics and social
media.
Business problem: Developing new business in an existing
market, finding new customers, finding new products and
services for existing customers.
Solution: IBM Global Technology Services and IBM
Research developed the Long-Term Signings Platform.
• Analyzed over 30 data sources
• Discovered associations between clients and products
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$M
Millions of dollars in increased
revenue and millions of dollars in
cost savings
Solution components:
- IBM® SPSS Modeler, Text Analytics
Best Practices for Getting
Started
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16. IBM IOD 2012 10/24/2014
Several dynamics are underway that are shaping the
future for big data and analytics
• Growth of data – 2.5 billion gigabytes generated every
day
• Unstructured data – 80% of big data growth is
unstructured (social media, video, audio, images, data
from sensors).
• Cognitive computing – Just when we need it, the third era
of computing, cognitive, offers the promise of allowing us
to rapidly explore big data and uncover insights.
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‒ Think Ahead
‒ Tell a Story
‒Understand Your Business
‒Get Better Data
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17. IBM IOD 2012 10/24/2014
Conclusions
Conclusions
• The use of analytics correlates to organizational performance.
• Developing and deploying analytics solutions consists of three
elements: Data / Analytics / Business Processes
• You can operationalize analytics using a 5-point approach.
• Successful analytics deployments incrementally cleanse data,
have collaborative teams, and deliver iteratively.
• The most competitive companies will move from raw big data to
insight-driven actions with speed; and cognitive computing will
help do this.
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