Big Data-enabled capabilities will require a new level of marketing sophistication and creativity. Here are 7 ways to get your organization ready as a whole
Adobe Symposium 2017 breakout sessions - Data Driven MarketingBeaudon McLaren
Data collection methods should be cataloged and documented to identify any data that is extrapolated, passively collected, or explicitly collected on web pages, mobile sites, apps, and other owned digital media assets. Further, this documentation needs to include information specific to the technologies employed such as log file processors, web analytics tools, panel based trackers, tag management systems, and other solutions used to collect all types of digital data.
CGT Research May 2013: Analytics & InsightsCognizant
A new survey conducted by Consumer Goods Technology (CGT) and sponsored by Cognizant explores how consumer goods companies are approaching data management strategies and usage.
Big Data-enabled capabilities will require a new level of marketing sophistication and creativity. Here are 7 ways to get your organization ready as a whole
Adobe Symposium 2017 breakout sessions - Data Driven MarketingBeaudon McLaren
Data collection methods should be cataloged and documented to identify any data that is extrapolated, passively collected, or explicitly collected on web pages, mobile sites, apps, and other owned digital media assets. Further, this documentation needs to include information specific to the technologies employed such as log file processors, web analytics tools, panel based trackers, tag management systems, and other solutions used to collect all types of digital data.
CGT Research May 2013: Analytics & InsightsCognizant
A new survey conducted by Consumer Goods Technology (CGT) and sponsored by Cognizant explores how consumer goods companies are approaching data management strategies and usage.
We asked delegates at the recent Big Data Analytics and MapR Convergence events in London, about their progress with implementing Big Data in their organisations. Here is what they told us.
Given that digitization had such a transformative effect on customer behavior and relationships, it is perhaps not surprising that many organizations focused their digital transformation efforts on the customer experience front-end. However, in the race to focus on the customer, it was all too easy to ignore operations. Our 2013 research with MIT Sloan Management Review found that while 40% of digital initiatives were focused on the customer experience, this dropped to 26% for operations...
Source : https://www.capgemini-consulting.com/going-big-operations-analytics
Welcome to the Chief Analytics Officer Forum Europe
On 7th – 9th March 2016, over 80 Chief Analytics Officers and senior analytics leaders met in London for intimate, top-level discussions; dissecting the role of the CAO, exploring innovative case studies and addressing mutual cross-industry challenges. To learn more, visit http://www.caoforumeurope.com/
This event is organised by http://coriniumintelligence.com/
10 Enterprise Analytics Trends to Watch in 2020MicroStrategy
As businesses face a 2020 reality check and use this year to hone their strategy for the next decade, MicroStrategy has compiled insights on the top enterprise analytics trends to watch from leading BI, analytics and digital transformation influencers including analysts from Forrester, IDC, Constellation Research, Ventana Research and more.
From artificial intelligence and mobile intelligence, to the explosion of data and data sources, to some very human factors, we hope you’ll find this gathering of insights (plus the patterns and themes that have emerged here) a valuable resource for taking action now, but also looking and planning ahead to become an Intelligent Enterprise.
Towards the Next Generation Financial Crimes Platform - How Data, Analytics, ...Molly Alexander
Towards the Next Generation Financial Crimes Platform - How Data, Analytics, & ML Are Transforming the Fight Against Fraud, AML & Cybersecurity -Nadeem Asghar
What we do; predictive and prescriptive analyticsWeibull AS
Prescriptive Analytics goes beyond descriptive, diagnostic and predictive analytics; by being able to recommend specific courses of action and show the likely outcome of each decision.
Predictive analytics will tell what probably will happen, but will leave it up to the client to figure out what to do with it.
Prescriptive analytics will also tell what probably will happen, but in addition: when it probably will happen and why it likely will happen, thus how to take advantage of this predictive future. Since there are always more than one course of action prescriptive analytics have to include: predicted consequences of actions, assessment of the value of the consequences and suggestions of the actions giving highest equity value for the company.
10 Enterprise Analytics Trends to Watch in 2019 MicroStrategy
View insights from Forrester analyst Mike Gualtieri, Constellation Research’s Ray Wang and Doug Henschen, Ventana Research’s Mark Smith and David Menninger, IDC’s Chandana Gopal, Marcus Borba, Ronald van Loon and other top analytics and business intelligence thought leaders.
BIG Data & Hadoop Applications in FinanceSkillspeed
Explore the applications of BIG Data & Hadoop in Finance via Skillspeed.
BIG Data & Hadoop in Finance is a key differentiator, especially in terms of generating greater investment insights. They are used by companies & professionals for risk assessment, fraud detection & forecasting trends in financial markets.
To get more details regarding BIG Data & Hadoop, please visit - www.SkillSpeed.com
This infographic is about how banks can maximize the value of their customer data using big data analytics. While the volume of data has been increasing in recent years, many banks have not been able to profit from this growth. Several challenges hold them back.
Building An Experience Optimization ArchitectureOptimizely
The battle lines for the hearts and minds of customers are drawn on the transforming frontiers of customer engagement. This is where great experiences are the ultimate differentiator. The firms that thrive do so by continuously optimizing experiences at the scale needed to make a difference. They integrate digital intelligence capabilities that inform and learn from all the experiences they provide customers.
During his talk, guest speaker James McCormick, Principal Forrester Analyst, will discuss:
- How companies are using experience optimization to gain a competitive advantage
- What industry leaders do differently when architecting for experience optimization
- The state of experience optimization and where to go from here
Advancing Business Value Through Predictive Analytics and Data ScienceSrinivasan Sankar
As presented at the Boston CDO Executive Summit. The insurance industry is all about making decisions with data. What if big data and predictive analytics could enhance the data-driven approach in catastrophe response, claims fraud detection and optimize process outcomes? At Hanover Insurance Company, Srinivasan Sankar put predictive analytics practices into action to achieve results and is staying steps ahead in proving the value of analytics. Follow along as Sankar demonstrates how an innovative analytics strategy can improve customer service and impact the bottom line.
https://www.evanta.com/cdo/summits/boston#agenda#19731
The global pandemic returned digital transformation to the spotlight. The lockdown put every digital business model to the test. Some organizations proved agile and resilient, but most were sent back to the drawing board to reconstruct their digital and analytic foundations.
In response, the modern C-Suite is now being tightly knit into one digital whole, connected by a web of data and analytics.
These slides--based on the webinar from leading IT research firm Enterprise Management Associates (EMA)-- outline the priorities of digital transformation in the modern C-Suite.
We asked delegates at the recent Big Data Analytics and MapR Convergence events in London, about their progress with implementing Big Data in their organisations. Here is what they told us.
Given that digitization had such a transformative effect on customer behavior and relationships, it is perhaps not surprising that many organizations focused their digital transformation efforts on the customer experience front-end. However, in the race to focus on the customer, it was all too easy to ignore operations. Our 2013 research with MIT Sloan Management Review found that while 40% of digital initiatives were focused on the customer experience, this dropped to 26% for operations...
Source : https://www.capgemini-consulting.com/going-big-operations-analytics
Welcome to the Chief Analytics Officer Forum Europe
On 7th – 9th March 2016, over 80 Chief Analytics Officers and senior analytics leaders met in London for intimate, top-level discussions; dissecting the role of the CAO, exploring innovative case studies and addressing mutual cross-industry challenges. To learn more, visit http://www.caoforumeurope.com/
This event is organised by http://coriniumintelligence.com/
10 Enterprise Analytics Trends to Watch in 2020MicroStrategy
As businesses face a 2020 reality check and use this year to hone their strategy for the next decade, MicroStrategy has compiled insights on the top enterprise analytics trends to watch from leading BI, analytics and digital transformation influencers including analysts from Forrester, IDC, Constellation Research, Ventana Research and more.
From artificial intelligence and mobile intelligence, to the explosion of data and data sources, to some very human factors, we hope you’ll find this gathering of insights (plus the patterns and themes that have emerged here) a valuable resource for taking action now, but also looking and planning ahead to become an Intelligent Enterprise.
Towards the Next Generation Financial Crimes Platform - How Data, Analytics, ...Molly Alexander
Towards the Next Generation Financial Crimes Platform - How Data, Analytics, & ML Are Transforming the Fight Against Fraud, AML & Cybersecurity -Nadeem Asghar
What we do; predictive and prescriptive analyticsWeibull AS
Prescriptive Analytics goes beyond descriptive, diagnostic and predictive analytics; by being able to recommend specific courses of action and show the likely outcome of each decision.
Predictive analytics will tell what probably will happen, but will leave it up to the client to figure out what to do with it.
Prescriptive analytics will also tell what probably will happen, but in addition: when it probably will happen and why it likely will happen, thus how to take advantage of this predictive future. Since there are always more than one course of action prescriptive analytics have to include: predicted consequences of actions, assessment of the value of the consequences and suggestions of the actions giving highest equity value for the company.
10 Enterprise Analytics Trends to Watch in 2019 MicroStrategy
View insights from Forrester analyst Mike Gualtieri, Constellation Research’s Ray Wang and Doug Henschen, Ventana Research’s Mark Smith and David Menninger, IDC’s Chandana Gopal, Marcus Borba, Ronald van Loon and other top analytics and business intelligence thought leaders.
BIG Data & Hadoop Applications in FinanceSkillspeed
Explore the applications of BIG Data & Hadoop in Finance via Skillspeed.
BIG Data & Hadoop in Finance is a key differentiator, especially in terms of generating greater investment insights. They are used by companies & professionals for risk assessment, fraud detection & forecasting trends in financial markets.
To get more details regarding BIG Data & Hadoop, please visit - www.SkillSpeed.com
This infographic is about how banks can maximize the value of their customer data using big data analytics. While the volume of data has been increasing in recent years, many banks have not been able to profit from this growth. Several challenges hold them back.
Building An Experience Optimization ArchitectureOptimizely
The battle lines for the hearts and minds of customers are drawn on the transforming frontiers of customer engagement. This is where great experiences are the ultimate differentiator. The firms that thrive do so by continuously optimizing experiences at the scale needed to make a difference. They integrate digital intelligence capabilities that inform and learn from all the experiences they provide customers.
During his talk, guest speaker James McCormick, Principal Forrester Analyst, will discuss:
- How companies are using experience optimization to gain a competitive advantage
- What industry leaders do differently when architecting for experience optimization
- The state of experience optimization and where to go from here
Advancing Business Value Through Predictive Analytics and Data ScienceSrinivasan Sankar
As presented at the Boston CDO Executive Summit. The insurance industry is all about making decisions with data. What if big data and predictive analytics could enhance the data-driven approach in catastrophe response, claims fraud detection and optimize process outcomes? At Hanover Insurance Company, Srinivasan Sankar put predictive analytics practices into action to achieve results and is staying steps ahead in proving the value of analytics. Follow along as Sankar demonstrates how an innovative analytics strategy can improve customer service and impact the bottom line.
https://www.evanta.com/cdo/summits/boston#agenda#19731
The global pandemic returned digital transformation to the spotlight. The lockdown put every digital business model to the test. Some organizations proved agile and resilient, but most were sent back to the drawing board to reconstruct their digital and analytic foundations.
In response, the modern C-Suite is now being tightly knit into one digital whole, connected by a web of data and analytics.
These slides--based on the webinar from leading IT research firm Enterprise Management Associates (EMA)-- outline the priorities of digital transformation in the modern C-Suite.
The New Enterprise is adopting
new tools and technology that
utilize data, mobilize their
workforce, and increase
collaboration throughout the
organization. In this new report, SVB Analytics examines the underlying industry sectors supporting this new business environment and offers data on venture funding, revenue models and valuations.
Bridging the Gap Between Business Objectives and Data StrategyRNayak3
Explore the fundamental elements of a robust data strategy that aligns with business objectives, from defining goals to prioritizing data architecture.
Sarah deLiefde, Practice Leader in Gartner's Supply Chain Research Group, held a webinar on how corporate changes will impact the Quality Role by 2020. Specifically, there are 8 trends shaping corporate functions:
In this presentation from Vision Solution Day Rome, you'll find data protection insights from Veritas leaders Jean-Pierre Boushira, Mark Nutt, and Ian Wood.
As companies of all sizes surge into the digital age, the same technologies driving radical change in business strategies and business models are also disrupting the workforce.Small and midsize Companies need to recruit, develop and retain workers with the agility, leadership, analytics and collaboration skills needed to meet business goals in this digital environment.
A Vision for Quantitative Investing in the Data Economy by Michael Beal at Qu...Quantopian
Quantitative Investors have long been charged with an exhilarating challenge - to derive insight from data. To support this ardor, a plethora of traditional data and technology vendors have entrenched themselves as critical partners in our pursuit of Alpha.
Over the last decade, a new partner in the pursuit of “automated truth from data” has emerged. Billions of dollars in Venture Capital funding have created an ecosystem of “Big Data”, “Cognitive Intelligence”, “Cloud Technology”, etc. companies seeking to extract information from anything and everything (e.g. unstructured text, sensors, satellites, etc.). This “Data Revolution” began in California and is now blossoming globally.
As “Silicon Alley” brings financial technology to the mainstream, what new opportunities await the ambitious? What disruptions threaten the complacent? And which historical analogs best illuminate the path forward for Quantitative Investors in the “Data Economy”?
Leading IT research firm Enterprise Management Associates (EMA) surveyed 179 IT and IT security respondents to assess the level of interest in MDR services, query MDR services users on the value they receive from their MDR service providers, and understand the drivers behind the growing interest in outsourcing the threat detection and response function.
These slides provide some of the highlights from this research.
Confirming Pages What’s in IT for me This chapter in.docxmaxinesmith73660
Confirming Pages
What’s in IT for me?
This chapter introduces the concepts of information and data and their relative importance to business profession-
als and firms. It distinguishes between data stored in transactional databases and powerful business intelligence
gleaned from data warehouses. Students who understand how to access, manipulate, summarize, sort, and ana-
lyze data to support decision making find success. Information has power, and understanding that power will help
you compete in the global marketplace. This chapter will provide you with an overview of database fundamentals
and the characteristics associated with high-quality information. It will also explain how the various bits of data
stored across multiple, operational databases can be transformed in a centralized repository of summarized infor-
mation in a data warehouse, which can be used for discovering business intelligence.
You, as a business student, need to understand the differences between transactional data and summarized infor-
mation and the different types of questions you could use a transactional database to answer versus a data ware-
house. You need to be aware of the complexity of storing data in databases and the level of effort required to transform
operational data into meaningful, summarized information. You need to realize the power of information and the
competitive advantage a data warehouse brings an organization in terms of facilitating business intelligence. Armed
with the power of information, business students will make smart, informed, and data-supported managerial decisions.
■ T h e B u s i n e s s B e n e f i t s o f
Da t a Wa re h o u s i n g
■ Pe r fo rm i n g B u s i n e s s A n a l y s i s
w i t h Da t a M a rt s
■ U n c ove ri n g Tre n d s a n d Pa tte rn s
w i t h Da t a M i n i n g
■ S u p p o rt i n g D e c i s i o n s w i t h
B u s i n e s s I n te l l i ge n c e
SECTION 6.2
Business Intelligence
■ T h e B u s i n e s s B e n e f i t s o f
H i g h - Q u a l i t y I n fo rm a t i o n
■ S to ri n g I n fo rm a t i o n U s i n g
a R e l a t i o n a l Da t a b a s e
M a n a ge m e n t Sy s te m
■ U s i n g a R e l a t i o n a l Da t a b a s e
fo r B u s i n e s s Ad va n t a ge s
■ D ri v i n g We b s i te s w i t h Da t a
SECTION 6.1
Data, Information,
and Databases
C
H
A
P
T
E
R
O
U
T
L
IN
E
Data: Business Intelligence 6
C H A P T E R
bal76825_ch06_201-240.indd 201bal76825_ch06_201-240.indd 201 11/15/10 3:23 PM11/15/10 3:23 PM
Confirming Pages
202 Chapter 6 Data: Business Intelligence
opening case study
Business Intelligence Software’s Time Is Now
With restaurants stretching from Seattle to the Osan Air Base in South Korea, the
Chili’s Grill & Bar chain gets many visitors. For parent company Brinker International,
that makes many Triple Dippers to keep track of.
Justifying investments in ITOps tooling, headcount, and workflows takes solid, industry-vetted data. Leading IT research firm Enterprise Management Associates (EMA) conducted in-depth research with 300+ IT leaders in North America and EMEA to provide BigPanda with a detailed, 360-degree picture of the modern outage on average and according to company size.
These slides provide results from this research-based data, including the cost of outages, their frequency and duration, leading causes, and effective measures against them.
Leading enterprise-scale big data business outcomesGuy Pearce
A talk specially prepared for McMaster University. There is more benefit to thinking about big data as a paradigm rather than as a technology, as it helps shape these projects in the context of resolving some of the enterprise's greatest challenges, including its competitive positioning. This approach integrates the operating model, the business model and the strategy in the solution, which improves the ability of the project to actually deliver its intended value. I support this position with a case study that created audited financial value for a major global bank.
Similar to How Analytics is Driving the Next Big Leap in Financial Services (20)
Understand how Endeavour built a state-of-the-art personalized shopper engagement platform, and saved 70% development costs by leveraging Xamarin platform to develop native apps for Android and iOS from a single code base, and accelerated app development and code-sharing using Portable Class Libraries (PCL).
This case study explains how Endeavour Software Technologies, helped develop a visual transaction signing solution for a leading electronic signature solutions company. The highlight of the solution was an identity management feature. The solution was also built keeping in mind the safety standards, thereby safeguarding it from malicious attacks.
This case study takes a look at how Endeavour Software Technologies helped a leading Canadian financial services company, build a check cashing mobile solution, allowing its customers to save time by doing away with the hassle of visiting a bank or an ATM.
Leadership can be inspiring, life-altering — and necessary. Sometimes you need to learn from the best to inspire others. Here are a few tried and tested leadership advices which have inspired a lot of employees in our organization. Read along. As Seth Godin says, This Might Work. And if it does, do share your experiences.
The wave of the Internet of Things (IoT) is hitting the enterprise world at a very rapid pace. Let us take a look at a few predictions, covering the evolving technology and business landscapes, with the inclusion of this disruptive technology. This presentation delves into the impact IoT will have on business and technology landscapes over the next 5 years and how it’ll affect enterprises.
Cloud has evolved to become a key strategic value driver for businesses in various functional and IT areas. Here’s a look at the top verticals and their key priorities areas while considering cloud, the business impact and common concerns associated with cloud adoption.
Developed a state-of-the-art personalized shopper engagement platform for a technology company, that enabled shoppers to search, compare and receive relevant offers on the go.
Developed a modular disease management platform for a health solutions company, that enabled self-management and anytime, anywhere access to patient information.
Developed a Sign Tracking System (STS) and a responsive web application, which allows real estate agents to order/review status of sign-orders of their active listing and also view reports related to past orders.
Built a headhunting solution for 165+ consultants spread out across 24 countries, which provided them comprehensive information on prospective candidates to power the entire hiring process.
Designed a solution which consolidates and integrates the information available with investment managers spread worldwide, empowering managers to access important information related to their portfolio contacts and workflows on the move.
Designed and deployed an ergonomic, multi-lingual mobile platform that empowered the client's global sales force to manage inventory more efficiently. This solution helped reduce transaction time by 50%, improved TAT by 3 secs and boosted overall performance.
Mobile technology has sparked disruptive innovations in the healthcare industry, empowering healthcare institutions with new business models that deliver high quality and low cost healthcare services. mHealth empowers patients with on demand access to medical records and powerful clinical decision support tools that enable them to actively participate in their treatment plans. Healthcare stakeholders are now compelled to reassess and repurpose how they deliver various healthcare services.
The presentation looks at the impact of glass on enterprises, its benefits and use cases across security, healthcare, manufacturing, and media industries
This whitepaper looks at the role of Android Wear in today’s wearable market. It provides insights into vertical specific use cases for different enterprise possibilities and also gives a glimpse of future market trends.
The whitepaper presents a holistic view of the digital retail space. It decodes the impact of technologies like NFC, Beacons and Apple Pay while giving a glimpse into trends and challenges associated with m-Commerce.
The presentation looks at the emergence of the internet of things along with its implications on the enterprise world, with vertical specific use cases.It suggests ways in which enterprises can adapt while presenting a futuristic outlook of this emerging technology.
This webinar presentation by Endeavour (http://www.techendeavour.com/) provides insights into the latest and innovative OS released by Apple, the iOS 7. Listen to the webinar recording @ http://www.techendeavour.com/webinars/ios7-looking-beyond-parallax
The webinar by Endeavour (http://www.techendeavour.com/) provides insights into how to accelerate mobile application development by leveraging reusable component frameworks.
View interesting webinar by Endeavour - The Mobility Company on Mobile Application Testing with focus on Crash Discovery Testing. View more information about Endeavour @ http://www.techendeavour.com
Check the story in action at: http://www.kicube.com/sharing/index.html?sharedId=1623a6f4-12cf-4dac-a956-ab8c8ab37893
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.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
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.
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