Learn how to leverage some of the best and most common plugins so that you can customize and extend Logi’s capabilities.
Learn more with Business Intelligence Buyer’s Guide at https://goo.gl/PH69XO.
Data is often the biggest challenge of self-service analytics. Learn how to efficiently handle data, prep and analyze large amounts of data, and blend data from multiple disparate sources in your analytics solution.
Learn more with the Gartner 2016 Critical Capabilities Report for BI and Analytics Platforms at https://goo.gl/IGNRO5.
Choosing the Best Business Intelligence Security Model for Your AppLogi Analytics
We see a variety of BI security needs in the analytics field. Learn how to select the best approach for your application and how to implement a solution that meets your requirements.
Get an overview of self-service analytics, plus some tools of the trade and best practices for developing in Logi Studio.
Get the sample Styled Self-Service Module here: http://apps.logianalytics.com/responsive/rdPage.aspx
Learn more in the Gartner 2016 Critical Capabilities Report for BI and Analytics Platforms at https://goo.gl/IGNRO5
The new year brings new opportunities and challenges for business and IT professionals. Here are the top 7 trends poised to shake up the BI industry and what you should be paying attention to as you develop business strategies for the upcoming year.
The slides from my presentation at the Sitecore User Group Conference in The Netherlands on June 12th, 2015.
Demo source code is available at https://github.com/ParTech/SugCon2015
Microsoft 365 UK Usergroup 2020 Sensitivity labelsAlbert Hoitingh
In this session I talked about and demo-ed new Microsoft Information Protection features as announced during Ignite 2019. Auto-classification for data at rest, Office Online integration, trainable classifiers and more.
Myth Busting Sitecore xDB - St. Louis Sitecore User Group MeetupRoundedcube
This slideshare includes presentation slides from the third St. Louis Sitecore User Group Meetup, "Personalization and the Experience Explorer" hosted on June 25, 2015 by Roundedcube and Fpweb.net. Presentation Roundedcube's CMO, Aaron Branson, and CTO, Benjamin Vidal.
Are you a St. Louis Sitecore user? Join the User Group here: http://www.meetup.com/Saint-Louis-Sitecore-User-Group-Meetup/
Data is often the biggest challenge of self-service analytics. Learn how to efficiently handle data, prep and analyze large amounts of data, and blend data from multiple disparate sources in your analytics solution.
Learn more with the Gartner 2016 Critical Capabilities Report for BI and Analytics Platforms at https://goo.gl/IGNRO5.
Choosing the Best Business Intelligence Security Model for Your AppLogi Analytics
We see a variety of BI security needs in the analytics field. Learn how to select the best approach for your application and how to implement a solution that meets your requirements.
Get an overview of self-service analytics, plus some tools of the trade and best practices for developing in Logi Studio.
Get the sample Styled Self-Service Module here: http://apps.logianalytics.com/responsive/rdPage.aspx
Learn more in the Gartner 2016 Critical Capabilities Report for BI and Analytics Platforms at https://goo.gl/IGNRO5
The new year brings new opportunities and challenges for business and IT professionals. Here are the top 7 trends poised to shake up the BI industry and what you should be paying attention to as you develop business strategies for the upcoming year.
The slides from my presentation at the Sitecore User Group Conference in The Netherlands on June 12th, 2015.
Demo source code is available at https://github.com/ParTech/SugCon2015
Microsoft 365 UK Usergroup 2020 Sensitivity labelsAlbert Hoitingh
In this session I talked about and demo-ed new Microsoft Information Protection features as announced during Ignite 2019. Auto-classification for data at rest, Office Online integration, trainable classifiers and more.
Myth Busting Sitecore xDB - St. Louis Sitecore User Group MeetupRoundedcube
This slideshare includes presentation slides from the third St. Louis Sitecore User Group Meetup, "Personalization and the Experience Explorer" hosted on June 25, 2015 by Roundedcube and Fpweb.net. Presentation Roundedcube's CMO, Aaron Branson, and CTO, Benjamin Vidal.
Are you a St. Louis Sitecore user? Join the User Group here: http://www.meetup.com/Saint-Louis-Sitecore-User-Group-Meetup/
These are my slides from the Montreal SharePoint and Office 365 User Group about PowerApps best pratices. No answers here yet... Just questions ;) But I will refresh them with some recommendations in the future
24 Hours of PASS -- Enterprise Data Mining with SQL ServerMark Tabladillo
This presentation introduces SQL Server Data Mining (SSDM) for SQL Server Professionals based on the speaker's past presentation for Microsoft TechEd. Starting with SQL Server Management Studio (SSMS), the demo includes the interfaces important for professional development, including Business Intelligence Development Studio (BIDS), highlighting Integration Services, and PowerShell. The interactive demos are based on Microsoft's Contoso Retail sample data. Finally we will evaluate where Microsoft data mining can help you in a practical business environment, which may include Oracle and SAS.
A Self Supporting Messaging Platform using ZarafaRuud Stroet
This presentation will focus on, how Zarafa will be integrated in the existing PLUS Infrastructure-as-a-Service and how management of the application can be deferred completely to the local independent entrepreneur.
Zarafa is the European open source replacement for Microsoft Exchange.
Consider you don’t want IT administering to configure your messaging platform? What should be done?
The roll out for our shops will take place in January 2012.
How LinkedIn Democratizes Big Data VisualizationChi-Yi Kuan
Speakers: Jonathan Wu (LinkedIn), Praveen Neppalli Naga (LinkedIn), Chi-Yi Kuan (LinkedIn)
Category: Hadoop in Action
LinkedIn processes enormous amounts of events each day. This data is of critical importance for data analysts, engineers, business experts, and data scientists that seek deep understanding of the interactions within LinkedIn’s professional social graph. They use this data to derive insights and performance metrics, which lead to better business decisions on products, marketing, sales, and other functional areas. Areas of interest include Email, Growth, Engagement, and Trending metrics. Development of internal tools has traditionally been based on specific need, optimized for the business use case, and non-interoperable. The engineering challenge is to allow business users to easily access and organize huge amounts of data in a comprehensive way and to be able to flexible and quickly get to the insights through graphs and charts that they need. The data needs to be sufficiently granular to work for different needs, the interface needs to be intuitive and simple, and the infrastructure needs to be high performance allowing users to manipulate large amounts of data quickly.
The solution to this challenge was realized by the LinkedIn Business Analytics and Data Analytics Infrastructure teams utilizing an integrated stack that includes an interactive analytics infrastructure and a self-serve data visualization front-end solution. The user interface provides a customizable ability to build charts, tables, and queries to suit highly customized reporting needs on any devices. The back-end infrastructure is based on Hadoop; which leverages LinkedIn’s investment in high scalable, data rich systems. The combined solution brings the ability to visualize, slice, dice, and drill through billions of records and hundreds of dimensions at fast scale.
In this talk, you will learn the background of the data challenges that LinkedIn faced, how the teams came together to construct the solution, and the underlying stack structure powering this solution.
Data has the power to transform everything it touches in business. However, it’s not the raw data that leads to better outcomes. It’s how you make use of the data you have at your disposal.
Indexing your Data is very important if you want to quickly fetch data & create better result from queries, it helps you to generate better Data Analysis reports and much more. For indexing your data there are many tools available, but which will work best for you? which gives the best result?
Abstract: During organizations’ Project Management Lifecycles, a lot of information and useful data gets stored in Project Server, and it gets to be a „project info silo“ very quickly. One way to get out of this trap is using Search –a nice and powerful way to get information about your projects, like documents, schedules, team members, issues, etc. In this session, we’ll demonstrate the keys for a successful Search Based Project Application.
Esta es un MUY breve presentación acerca de cómo manejo mis contraseñas y cómo he hecho que sean seguras. Me demoré haciéndola 5 minutos, así que perdone si hay algún error, ¿vale?
Taloushallinto on osa kaikkien organisaatioiden toimintaa ja sen automatisoinnilla luotu kustannustehokkuuden nousu mahdollistaa merkittävän kilpailukykyloikan suomalaisille pk-yrityksille ja tuo säästöjä sekä yrityksille että koko kansantaloudelle.
TALTIO-hankkeen tavoitteena on saada taloushallinnon informaatio täysin rakenteiseksi ja digitaaliseksi, minkä päälle voidaan rakentaa kattava ja pitkälle automatisoitu yritysten talouden seuranta ja raportointi.
TALTIO-hankkeessa standardoidaan kirjanpidon aineiston esitystapa ja mahdollistetaan taloushallinnon eri järjestelmien yhteentoimivuus.
Elina Koskentalon esitys TIEKEn Bisnestreffeillä 9.12.2016
[Social Media] Décryptage des #DailyHashtagsVanksen
On le sait, les internautes aiment taguer leur photo et autres tweets à grand renfort de hashtags. #RienDeNouveau.
Ils nous permettent de suivre des mots clés particuliers liés à l'actualité, des événements ou des tendances. Souvenez vous des vagues de #FailWhale après une interruption du service de Twitter, ou des #TigerBlood une fois les frasques de Charlie Sheen rendues public.
Les hashtags ne répondent pas seulement à des événements ponctuels et hors du commun, certains, et pas des moins populaires, sont tout simplement attachés à un jour de la semaine. Et si on retraçait la semaine des hashtags qu'est-ce que ça donnerait ?
Vanksen vous propose un nouveau slideshare intitulé "Décryptage des #DailyHashtags" pour vous aider à construire la semaine des hashtags qui vous ressemble, ou à mieux comprendre ceux qui en font usage. Et il y en a pour tous les goûts.
Robert Rosenberg from SouthPole Group presents the results from a study that assessed the carbon footprint of the Nasdaq Helsinki listed companies in 2015. The study also compares the carbon-intensity of investments made in Nasdaq Helsinki and Nasdaq Stockholm and presents a global view.
These are my slides from the Montreal SharePoint and Office 365 User Group about PowerApps best pratices. No answers here yet... Just questions ;) But I will refresh them with some recommendations in the future
24 Hours of PASS -- Enterprise Data Mining with SQL ServerMark Tabladillo
This presentation introduces SQL Server Data Mining (SSDM) for SQL Server Professionals based on the speaker's past presentation for Microsoft TechEd. Starting with SQL Server Management Studio (SSMS), the demo includes the interfaces important for professional development, including Business Intelligence Development Studio (BIDS), highlighting Integration Services, and PowerShell. The interactive demos are based on Microsoft's Contoso Retail sample data. Finally we will evaluate where Microsoft data mining can help you in a practical business environment, which may include Oracle and SAS.
A Self Supporting Messaging Platform using ZarafaRuud Stroet
This presentation will focus on, how Zarafa will be integrated in the existing PLUS Infrastructure-as-a-Service and how management of the application can be deferred completely to the local independent entrepreneur.
Zarafa is the European open source replacement for Microsoft Exchange.
Consider you don’t want IT administering to configure your messaging platform? What should be done?
The roll out for our shops will take place in January 2012.
How LinkedIn Democratizes Big Data VisualizationChi-Yi Kuan
Speakers: Jonathan Wu (LinkedIn), Praveen Neppalli Naga (LinkedIn), Chi-Yi Kuan (LinkedIn)
Category: Hadoop in Action
LinkedIn processes enormous amounts of events each day. This data is of critical importance for data analysts, engineers, business experts, and data scientists that seek deep understanding of the interactions within LinkedIn’s professional social graph. They use this data to derive insights and performance metrics, which lead to better business decisions on products, marketing, sales, and other functional areas. Areas of interest include Email, Growth, Engagement, and Trending metrics. Development of internal tools has traditionally been based on specific need, optimized for the business use case, and non-interoperable. The engineering challenge is to allow business users to easily access and organize huge amounts of data in a comprehensive way and to be able to flexible and quickly get to the insights through graphs and charts that they need. The data needs to be sufficiently granular to work for different needs, the interface needs to be intuitive and simple, and the infrastructure needs to be high performance allowing users to manipulate large amounts of data quickly.
The solution to this challenge was realized by the LinkedIn Business Analytics and Data Analytics Infrastructure teams utilizing an integrated stack that includes an interactive analytics infrastructure and a self-serve data visualization front-end solution. The user interface provides a customizable ability to build charts, tables, and queries to suit highly customized reporting needs on any devices. The back-end infrastructure is based on Hadoop; which leverages LinkedIn’s investment in high scalable, data rich systems. The combined solution brings the ability to visualize, slice, dice, and drill through billions of records and hundreds of dimensions at fast scale.
In this talk, you will learn the background of the data challenges that LinkedIn faced, how the teams came together to construct the solution, and the underlying stack structure powering this solution.
Data has the power to transform everything it touches in business. However, it’s not the raw data that leads to better outcomes. It’s how you make use of the data you have at your disposal.
Indexing your Data is very important if you want to quickly fetch data & create better result from queries, it helps you to generate better Data Analysis reports and much more. For indexing your data there are many tools available, but which will work best for you? which gives the best result?
Abstract: During organizations’ Project Management Lifecycles, a lot of information and useful data gets stored in Project Server, and it gets to be a „project info silo“ very quickly. One way to get out of this trap is using Search –a nice and powerful way to get information about your projects, like documents, schedules, team members, issues, etc. In this session, we’ll demonstrate the keys for a successful Search Based Project Application.
Esta es un MUY breve presentación acerca de cómo manejo mis contraseñas y cómo he hecho que sean seguras. Me demoré haciéndola 5 minutos, así que perdone si hay algún error, ¿vale?
Taloushallinto on osa kaikkien organisaatioiden toimintaa ja sen automatisoinnilla luotu kustannustehokkuuden nousu mahdollistaa merkittävän kilpailukykyloikan suomalaisille pk-yrityksille ja tuo säästöjä sekä yrityksille että koko kansantaloudelle.
TALTIO-hankkeen tavoitteena on saada taloushallinnon informaatio täysin rakenteiseksi ja digitaaliseksi, minkä päälle voidaan rakentaa kattava ja pitkälle automatisoitu yritysten talouden seuranta ja raportointi.
TALTIO-hankkeessa standardoidaan kirjanpidon aineiston esitystapa ja mahdollistetaan taloushallinnon eri järjestelmien yhteentoimivuus.
Elina Koskentalon esitys TIEKEn Bisnestreffeillä 9.12.2016
[Social Media] Décryptage des #DailyHashtagsVanksen
On le sait, les internautes aiment taguer leur photo et autres tweets à grand renfort de hashtags. #RienDeNouveau.
Ils nous permettent de suivre des mots clés particuliers liés à l'actualité, des événements ou des tendances. Souvenez vous des vagues de #FailWhale après une interruption du service de Twitter, ou des #TigerBlood une fois les frasques de Charlie Sheen rendues public.
Les hashtags ne répondent pas seulement à des événements ponctuels et hors du commun, certains, et pas des moins populaires, sont tout simplement attachés à un jour de la semaine. Et si on retraçait la semaine des hashtags qu'est-ce que ça donnerait ?
Vanksen vous propose un nouveau slideshare intitulé "Décryptage des #DailyHashtags" pour vous aider à construire la semaine des hashtags qui vous ressemble, ou à mieux comprendre ceux qui en font usage. Et il y en a pour tous les goûts.
Robert Rosenberg from SouthPole Group presents the results from a study that assessed the carbon footprint of the Nasdaq Helsinki listed companies in 2015. The study also compares the carbon-intensity of investments made in Nasdaq Helsinki and Nasdaq Stockholm and presents a global view.
This 66-page guide goes over everything you need to know about embedded analytics - targeted for software executives and product managers looking to build product value with embedded analytics. Learn more at www.logianalytics.com.
Vidéo 360°, nouvel outil d'engagement pour les marques ? Vanksen
En quelques années, la maturité des équipements ont permis à la vidéo de devenir le format star du web ! Une nouvelle ère, où la démocratisation de certaines solutions révolutionne le marketing et la communication. Parmi elles, la vidéo 360° et, par extension, la VR.
Véritable aubaine pour les marques, ces innovations coïncident parfaitement avec les enjeux actuels : proposer de nouvelles expériences, enrichies, et renforcer l’immersion de l’utilisateur.
La vidéo 360°, nouvel outil d’engagement pour les marques ?
La nouvelle étude de Vanksen vous propose de découvrir quelles sont les opportunités offertes aux annonceurs par la vidéo 360° et la réalité virtuelle. Illustrée par de nombreux exemples décryptés par l’agence, cette analyse complète du phénomène vous permettra de mieux comprendre les enjeux, les usages et l’avenir de la révolution qui est en mouvement.
Etat des lieux du mobile en France - Mai 2012Dagobert
Vous souhaitez avoir toutes les clefs en mains pour élaborer une stratégie mobile pertinente tant à court, moyen que long terme ? Découvrez en exclusivité l’état des lieux du mobile, l’étude de référence sur le marché du mobile aujourd’hui !
Au sommaire : de l’actu, des tableaux de bord, de l’analyse et des points de vue d’experts.
SharePoint Development has many potentials with to the massive opportunity its creating with increasing number of users. This will be a good place to jump-start for SharePoint development.
Migrating onto 2013 on-premises or Office 365? With all of the new features, and improvements to user experience, the new versions are quite enticing. Unfortunately, new functionality and user experience won’t fix the existing issues in your environment.
In this webinar, Portal Solutions’ Chris Poteet, Senior Consultant and MetaVis’ Chris Kolodziejski, Product Manager discussed:
What makes the new SharePoint 2013 and Office 365 compelling options for upgrading
What has and has not changed in the current versions of SharePoint
Best practices for preparing to implement a new environment and for migrating between versions
Insight into migrating well and ending with a cleaner and more streamlined environment
What tools and services can be used to help you perform your migration
At first glance, the major changes in SharePoint 15 appear to be visual. SharePoint Team has also made some significant changes to the back-end infrastructure capabilities of the platform, improving tools and adding new capabilities. This session focuses on those new changes, and focus on how IT Pros can prepare for the addition of SharePoint 2013 into their environments. Improvements such as a social computing features, integrated Search capabilities, advanced Web Content Management options, changes to Service Applications.
Tricks and Tips in Migrating to Office 365 and On-Premises to acoid migration...Mike Maadarani
Migrating data into any platform is a difficult task, especially if you are moving into Office 365. If you are migrating to either SharePoint 2013 On-Premise or O365, you will need preparation, good planning, and detailed execution activities are keys to avoid migration nightmare.
This session will help you learn a methodology, adopted based on many previous migration, to help you deliver a successful migration project with happy users. We will learn the steps you need in your pre-migration analysis, migration checklists, post migration support, and any issues you might face during and after completing the migration efforts.
MS Ignite Report - San Antonio SharePoint User Group 2015-05-19Jim Adcock
The May meeting of the San Antonio SharePoint User Group was a panel discussion of the recent Microsoft Ignite conference.
Here are the slides from the conference overview.
IWMW 2002: Portals and CMS:" Why You Need Them BothIWMW
Plenary talk on “Portals and CMS:" Why You Need Them Both” given by Paul Browning at the IWMW 2002 event.
See http://www.ukoln.ac.uk/web-focus/events/workshops/webmaster-2002/sessions.html#talk-browning
When analytics are embedded in applications, they're adopted 3 times more than traditional standalone BI tools. See top findings from the 2017 State of Embedded Analytics Report.
The Evolution of Business Intelligence: Maturing Enterprise AnalyticsLogi Analytics
ALD Automotive reviews how it uses Logi Analytics to provide its customers with total fleet management flexibility – from pure financing of cars to comprehensive outsourcing operations.
Learn more with the The Definitive Guide to Embedded Analytics at https://goo.gl/hWUrsn.
Building and Deploying a SaaS Business Intelligence SolutionLogi Analytics
QASymphony explains how they built and deployed a SaaS business intelligence solution using the Logi Info analytics platform. You'll see tips on using Docker to simplify deployment and discovery strategies for multi-tenancy, localization, and custom reports.
Learn more with the Gartner 2016 Critical Capabilities Report for BI and Analytics Platforms at https://goo.gl/IGNRO5.
Get tips on how to bring your analytics app to market -- including ways to find and monetize users in a SaaS world and best practices for choosing a pricing model for your business.
Learn more with Business Intelligence Buyer’s Guide at https://goo.gl/PH69XO.
Learn what’s possible with location mapping, and how to integrate maps with various technologies like Google, ESRI, Bing, and Open Street Maps.
Learn more with The Definitive Guide to Dashboard Design at https://goo.gl/2IPpZL.
See some of the cool tricks and shortcuts Info can do that you may not know about. Hack your way through Google maps, definition modifiers and how to apply asynchronous processes.
Get the sample code here: https://fileshare.logianalytics.com/logi_public/45fcd7
Learn more with The Definitive Guide to Dashboard Design at https://goo.gl/2IPpZL.
Brian Brinkmann, Vice President of Product Management, discusses how Logi Info 12.2 helps application owners create genius apps with shared authoring that lets everyone create analytics.
Steven Schneider opens the #Logi16 User Conference and discusses how Logi Analytics is charting a unique course through the changing market demands for analytics.
Giving your application an “extreme makeover” is much easier than you think. Leverage industry standard style frameworks that integrate seamlessly to enhance your Logi Info application, and look at a real-world example of effective visual communication of data and metrics.
Learn more with The Definitive Guide to Dashboard Design at https://goo.gl/2IPpZL.
Style This: Your Essential Toolkit for Dashboard DesignLogi Analytics
Learn the principles of dashboard design and how to leverage tools of the trade. Plus we'll give practical styling tips to make data visualizations pop.
Learn more with The Definitive Guide to Dashboard Design at https://goo.gl/2IPpZL.
Beyond the Bar Chart - How to Build Better VisualizationsLogi Analytics
What we'll cover:
Identifying User Data Stories and Analysis Types
Designing visuals to the data story
How to execute your shiny new visuals
Learn more with The Definitive Guide to Dashboard Design at https://goo.gl/2IPpZL.
Learn more about Logi Analytics' embedded analytics maturity model by taking a look at the GPS in your car. To lean more visit: http://www.logianalytics.com/blog/embedded-analytics-maturity-model-it%E2%80%99s-not-what-you-embed-it%E2%80%99s-how-you-embed-it
Creating Great Dashboards - Beyond the Colors & FontsLogi Analytics
Walk through the fundamentals of effective dashboard design and learn how to customize them to fit specific user requirements. This presentation was created in partnership with Alchemy50.
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
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).
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 OpenMP PageRank : SHORT REPORT / NOTESSubhajit Sahu
For massive graphs that fit in RAM, but not in GPU memory, it is possible to take
advantage of a shared memory system with multiple CPUs, each with multiple cores, to
accelerate pagerank computation. If the NUMA architecture of the system is properly taken
into account with good vertex partitioning, the speedup can be significant. To take steps in
this direction, experiments are conducted to implement pagerank in OpenMP using two
different approaches, uniform and hybrid. The uniform approach runs all primitives required
for pagerank in OpenMP mode (with multiple threads). On the other hand, the hybrid
approach runs certain primitives in sequential mode (i.e., sumAt, multiply).
11. #Logi16
• .NET or Java
• Embedded in a Logi Project
• Plugin Hooks at Various Points in Report Processing
• Access to:
– Parameters
– Definitions
– Data
– Runtime values (Request, Session)
WHAT ARE PLUGINS?
12. #Logi16
THE LIFE & TIMES OF A LOGI PLUGIN
Preproce
ssing
Elaborate
Super-
Elements
Retrieve
Data
Build
Compone
nts
Generate
HTML
Load
Definition
Finish
HTML
Finish
Data
Data
Layer
Call
Data
Layer
Generated Element,
Load Panels,
Panel Plugin
Logi Engine
User
Initiates
Request
Data Layer Plugins
Definition Plugins
Process Plugins
14. #Logi1616
BEST PRACTICES
X Load large data sets in
memory
X Overdo plugins
Don’t Do
Prefer simplest tool for the job
Commit definition
Add debug diagnostics
Re-evaluate between major
releases
Procedure Plugin falls outside of this workflow and can be launched during a Logi Process.
Pull up “Life & Times of a Logi Plugin” between each demo
Demonstrate the following
Plugin configuration in a Logi container showing how to reference the DLL, change options
Show Load Def, Panels, Data Layer examples
VS project accepting the rdServer object and what kinds of methods it has on it
This is what shows up in Logi for list of available methods