Predictive analytics are the key to maintaining public safety. IBM offers applications for law enforcement, border security, internal threats, external threats, money laundering and infectious disease control.
Ahwatukee CoC Market Research for Entrepreneurs Presentation 11_19_14Mark Goldstein
Mark Goldstein of International Research Center presented an updated version of his Market Research for Entrepreneurs presentation to the Ahwatukee Chamber of Commerce on Wednesday, November 19, 2014 in Phoenix, AZ. It focused on easy, low-cost ways to evaluate your target market, identify emerging trends, and anticipate competition and covered market research vs. business intelligence, identifying your value chain and influencers, Internet searching tips & tricks, the deep web and dark web, industrial-strength databases, data analysis & actionable intelligence, dashboards for real-time monitoring, the advent & implications of big data, the developing Internet of Things, social media strategies & metrics, and venture capital/crowdfunding sources.
The document discusses how predictive and comparative analytics can be used to improve revenue cycle performance and margins in healthcare organizations. It provides examples of how one healthcare system (Organization X) used these analytics approaches to identify areas of financial opportunity within its revenue cycle, including denials management, emergency department registration processes, outpatient surgery authorization issues, and recurring treatment denials. The system was able to target corrective actions in these areas that were projected to optimize its annual net revenue by millions of dollars through reduced leakage.
When Big Data and Predictive Analytics Collide: Visual Magic HappensChase McMichael
Big data is useless data unless you have a way to handle and perform meaningful analysis that drives a business outcome. Data visualization has transformed complex data sets into patterns now being used to constructed predictive models. In the massive exploding world of social data and content engagement the need for intelligent data mining and pattern prediction is required to realize data driving marketing. In this presentation, we will explore techniques, key takeaways and examples behind this fast growing market of predictive https://svforum.org/Business-Intelligence/Business-Intelligence-SIG-When-Big-Data-and-Predictive-Analytics-Collide SEE Dreamforce Content Hub in ACTION here http://blog.infinigraph.com/example-of-visual-content-trends-powered-by-hypercuration/
International Security Issues: 10 Recommendations from the 2010 Security JamIBM Government
In 2010, a group of countries participated in a collaboration on the changing nature of the international security landscape. In an effort to answer he overarching question: ‘how can international actors and institutions respond to new security challenges?’, The Security Jam proved to address the security concerns of stakeholders around the world.
Government SOA Scenario: Immigration and Border ManagementIBM Government
The document describes a service-oriented architecture (SOA) solution for immigration and border management using the IBM Government Industry Framework. It summarizes two key scenarios: Advanced Passenger Analysis and Registered Traveler programs. Advanced Passenger Analysis allows comparison of passenger data to watchlists before travel to identify high-risk passengers. Registered Traveler programs provide expedited border crossing for pre-approved low-risk travelers through automated checkpoints. The document outlines the processes and capabilities needed to support these programs and improved border management.
Better Social Services: IBM Social Industry ModelIBM Government
Learn about the IBM social industry model, and how to streamline social services and social security by improving technology, data, performance and more.
Cyber defense: Understanding and Combating the ThreatIBM Government
The broad subject of cyber defense makes it just as difficult to achieve. Learn about IBM solutions and SPADE conference insights on the subject of cyber defense which includes both cyber terrorism and the larger umbrella "cyber threat," and the best ways to combat them.
Advanced Analytics Systems for Smarter Benefits, Claims, and Entitlement Mana...IBM Government
This IBM white paper introduces the field of analytics, and discusses how analytics can be utilized in claims and benefits processing systems. It also provides an example of an advanced analytics system developed for the U.S. Social Security Administration.
Ahwatukee CoC Market Research for Entrepreneurs Presentation 11_19_14Mark Goldstein
Mark Goldstein of International Research Center presented an updated version of his Market Research for Entrepreneurs presentation to the Ahwatukee Chamber of Commerce on Wednesday, November 19, 2014 in Phoenix, AZ. It focused on easy, low-cost ways to evaluate your target market, identify emerging trends, and anticipate competition and covered market research vs. business intelligence, identifying your value chain and influencers, Internet searching tips & tricks, the deep web and dark web, industrial-strength databases, data analysis & actionable intelligence, dashboards for real-time monitoring, the advent & implications of big data, the developing Internet of Things, social media strategies & metrics, and venture capital/crowdfunding sources.
The document discusses how predictive and comparative analytics can be used to improve revenue cycle performance and margins in healthcare organizations. It provides examples of how one healthcare system (Organization X) used these analytics approaches to identify areas of financial opportunity within its revenue cycle, including denials management, emergency department registration processes, outpatient surgery authorization issues, and recurring treatment denials. The system was able to target corrective actions in these areas that were projected to optimize its annual net revenue by millions of dollars through reduced leakage.
When Big Data and Predictive Analytics Collide: Visual Magic HappensChase McMichael
Big data is useless data unless you have a way to handle and perform meaningful analysis that drives a business outcome. Data visualization has transformed complex data sets into patterns now being used to constructed predictive models. In the massive exploding world of social data and content engagement the need for intelligent data mining and pattern prediction is required to realize data driving marketing. In this presentation, we will explore techniques, key takeaways and examples behind this fast growing market of predictive https://svforum.org/Business-Intelligence/Business-Intelligence-SIG-When-Big-Data-and-Predictive-Analytics-Collide SEE Dreamforce Content Hub in ACTION here http://blog.infinigraph.com/example-of-visual-content-trends-powered-by-hypercuration/
International Security Issues: 10 Recommendations from the 2010 Security JamIBM Government
In 2010, a group of countries participated in a collaboration on the changing nature of the international security landscape. In an effort to answer he overarching question: ‘how can international actors and institutions respond to new security challenges?’, The Security Jam proved to address the security concerns of stakeholders around the world.
Government SOA Scenario: Immigration and Border ManagementIBM Government
The document describes a service-oriented architecture (SOA) solution for immigration and border management using the IBM Government Industry Framework. It summarizes two key scenarios: Advanced Passenger Analysis and Registered Traveler programs. Advanced Passenger Analysis allows comparison of passenger data to watchlists before travel to identify high-risk passengers. Registered Traveler programs provide expedited border crossing for pre-approved low-risk travelers through automated checkpoints. The document outlines the processes and capabilities needed to support these programs and improved border management.
Better Social Services: IBM Social Industry ModelIBM Government
Learn about the IBM social industry model, and how to streamline social services and social security by improving technology, data, performance and more.
Cyber defense: Understanding and Combating the ThreatIBM Government
The broad subject of cyber defense makes it just as difficult to achieve. Learn about IBM solutions and SPADE conference insights on the subject of cyber defense which includes both cyber terrorism and the larger umbrella "cyber threat," and the best ways to combat them.
Advanced Analytics Systems for Smarter Benefits, Claims, and Entitlement Mana...IBM Government
This IBM white paper introduces the field of analytics, and discusses how analytics can be utilized in claims and benefits processing systems. It also provides an example of an advanced analytics system developed for the U.S. Social Security Administration.
"NATO Hackathon Winner: AI-Powered Drug Search", Taras KlobaFwdays
This is a session that details how PostgreSQL's features and Azure AI Services can be effectively used to significantly enhance the search functionality in any application.
In this session, we'll share insights on how we used PostgreSQL to facilitate precise searches across multiple fields in our mobile application. The techniques include using LIKE and ILIKE operators and integrating a trigram-based search to handle potential misspellings, thereby increasing the search accuracy.
We'll also discuss how the azure_ai extension on PostgreSQL databases in Azure and Azure AI Services were utilized to create vectors from user input, a feature beneficial when users wish to find specific items based on text prompts. While our application's case study involves a drug search, the techniques and principles shared in this session can be adapted to improve search functionality in a wide range of applications. Join us to learn how PostgreSQL and Azure AI can be harnessed to enhance your application's search capability.
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Northern Engraving | Modern Metal Trim, Nameplates and Appliance PanelsNorthern Engraving
What began over 115 years ago as a supplier of precision gauges to the automotive industry has evolved into being an industry leader in the manufacture of product branding, automotive cockpit trim and decorative appliance trim. Value-added services include in-house Design, Engineering, Program Management, Test Lab and Tool Shops.
QA or the Highway - Component Testing: Bridging the gap between frontend appl...zjhamm304
These are the slides for the presentation, "Component Testing: Bridging the gap between frontend applications" that was presented at QA or the Highway 2024 in Columbus, OH by Zachary Hamm.
Session 1 - Intro to Robotic Process Automation.pdfUiPathCommunity
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...DanBrown980551
This LF Energy webinar took place June 20, 2024. It featured:
-Alex Thornton, LF Energy
-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
-Customer data, centering around customer tariffs, bills, energy usage, and full consumption disclosure
-Power systems data, focusing on grid data, inclusive of transmission and distribution networks, generation, intergrid power flows, and market settlement data
What is an RPA CoE? Session 2 – CoE RolesDianaGray10
In this session, we will review the players involved in the CoE and how each role impacts opportunities.
Topics covered:
• What roles are essential?
• What place in the automation journey does each role play?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
In our second session, we shall learn all about the main features and fundamentals of UiPath Studio that enable us to use the building blocks for any automation project.
📕 Detailed agenda:
Variables and Datatypes
Workflow Layouts
Arguments
Control Flows and Loops
Conditional Statements
💻 Extra training through UiPath Academy:
Variables, Constants, and Arguments in Studio
Control Flow in Studio
High performance Serverless Java on AWS- GoTo Amsterdam 2024Vadym Kazulkin
Java is for many years one of the most popular programming languages, but it used to have hard times in the Serverless community. Java is known for its high cold start times and high memory footprint, comparing to other programming languages like Node.js and Python. In this talk I'll look at the general best practices and techniques we can use to decrease memory consumption, cold start times for Java Serverless development on AWS including GraalVM (Native Image) and AWS own offering SnapStart based on Firecracker microVM snapshot and restore and CRaC (Coordinated Restore at Checkpoint) runtime hooks. I'll also provide a lot of benchmarking on Lambda functions trying out various deployment package sizes, Lambda memory settings, Java compilation options and HTTP (a)synchronous clients and measure their impact on cold and warm start times.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
"What does it really mean for your system to be available, or how to define w...Fwdays
We will talk about system monitoring from a few different angles. We will start by covering the basics, then discuss SLOs, how to define them, and why understanding the business well is crucial for success in this exercise.
2024 State of Marketing Report – by HubspotMarius Sescu
https://www.hubspot.com/state-of-marketing
· Scaling relationships and proving ROI
· Social media is the place for search, sales, and service
· Authentic influencer partnerships fuel brand growth
· The strongest connections happen via call, click, chat, and camera.
· Time saved with AI leads to more creative work
· Seeking: A single source of truth
· TLDR; Get on social, try AI, and align your systems.
· More human marketing, powered by robots
ChatGPT is a revolutionary addition to the world since its introduction in 2022. A big shift in the sector of information gathering and processing happened because of this chatbot. What is the story of ChatGPT? How is the bot responding to prompts and generating contents? Swipe through these slides prepared by Expeed Software, a web development company regarding the development and technical intricacies of ChatGPT!
"NATO Hackathon Winner: AI-Powered Drug Search", Taras KlobaFwdays
This is a session that details how PostgreSQL's features and Azure AI Services can be effectively used to significantly enhance the search functionality in any application.
In this session, we'll share insights on how we used PostgreSQL to facilitate precise searches across multiple fields in our mobile application. The techniques include using LIKE and ILIKE operators and integrating a trigram-based search to handle potential misspellings, thereby increasing the search accuracy.
We'll also discuss how the azure_ai extension on PostgreSQL databases in Azure and Azure AI Services were utilized to create vectors from user input, a feature beneficial when users wish to find specific items based on text prompts. While our application's case study involves a drug search, the techniques and principles shared in this session can be adapted to improve search functionality in a wide range of applications. Join us to learn how PostgreSQL and Azure AI can be harnessed to enhance your application's search capability.
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Northern Engraving | Modern Metal Trim, Nameplates and Appliance PanelsNorthern Engraving
What began over 115 years ago as a supplier of precision gauges to the automotive industry has evolved into being an industry leader in the manufacture of product branding, automotive cockpit trim and decorative appliance trim. Value-added services include in-house Design, Engineering, Program Management, Test Lab and Tool Shops.
QA or the Highway - Component Testing: Bridging the gap between frontend appl...zjhamm304
These are the slides for the presentation, "Component Testing: Bridging the gap between frontend applications" that was presented at QA or the Highway 2024 in Columbus, OH by Zachary Hamm.
Session 1 - Intro to Robotic Process Automation.pdfUiPathCommunity
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...DanBrown980551
This LF Energy webinar took place June 20, 2024. It featured:
-Alex Thornton, LF Energy
-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
-Customer data, centering around customer tariffs, bills, energy usage, and full consumption disclosure
-Power systems data, focusing on grid data, inclusive of transmission and distribution networks, generation, intergrid power flows, and market settlement data
What is an RPA CoE? Session 2 – CoE RolesDianaGray10
In this session, we will review the players involved in the CoE and how each role impacts opportunities.
Topics covered:
• What roles are essential?
• What place in the automation journey does each role play?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
In our second session, we shall learn all about the main features and fundamentals of UiPath Studio that enable us to use the building blocks for any automation project.
📕 Detailed agenda:
Variables and Datatypes
Workflow Layouts
Arguments
Control Flows and Loops
Conditional Statements
💻 Extra training through UiPath Academy:
Variables, Constants, and Arguments in Studio
Control Flow in Studio
High performance Serverless Java on AWS- GoTo Amsterdam 2024Vadym Kazulkin
Java is for many years one of the most popular programming languages, but it used to have hard times in the Serverless community. Java is known for its high cold start times and high memory footprint, comparing to other programming languages like Node.js and Python. In this talk I'll look at the general best practices and techniques we can use to decrease memory consumption, cold start times for Java Serverless development on AWS including GraalVM (Native Image) and AWS own offering SnapStart based on Firecracker microVM snapshot and restore and CRaC (Coordinated Restore at Checkpoint) runtime hooks. I'll also provide a lot of benchmarking on Lambda functions trying out various deployment package sizes, Lambda memory settings, Java compilation options and HTTP (a)synchronous clients and measure their impact on cold and warm start times.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
"What does it really mean for your system to be available, or how to define w...Fwdays
We will talk about system monitoring from a few different angles. We will start by covering the basics, then discuss SLOs, how to define them, and why understanding the business well is crucial for success in this exercise.
2024 State of Marketing Report – by HubspotMarius Sescu
https://www.hubspot.com/state-of-marketing
· Scaling relationships and proving ROI
· Social media is the place for search, sales, and service
· Authentic influencer partnerships fuel brand growth
· The strongest connections happen via call, click, chat, and camera.
· Time saved with AI leads to more creative work
· Seeking: A single source of truth
· TLDR; Get on social, try AI, and align your systems.
· More human marketing, powered by robots
ChatGPT is a revolutionary addition to the world since its introduction in 2022. A big shift in the sector of information gathering and processing happened because of this chatbot. What is the story of ChatGPT? How is the bot responding to prompts and generating contents? Swipe through these slides prepared by Expeed Software, a web development company regarding the development and technical intricacies of ChatGPT!
Product Design Trends in 2024 | Teenage EngineeringsPixeldarts
The realm of product design is a constantly changing environment where technology and style intersect. Every year introduces fresh challenges and exciting trends that mold the future of this captivating art form. In this piece, we delve into the significant trends set to influence the look and functionality of product design in the year 2024.
How Race, Age and Gender Shape Attitudes Towards Mental HealthThinkNow
Mental health has been in the news quite a bit lately. Dozens of U.S. states are currently suing Meta for contributing to the youth mental health crisis by inserting addictive features into their products, while the U.S. Surgeon General is touring the nation to bring awareness to the growing epidemic of loneliness and isolation. The country has endured periods of low national morale, such as in the 1970s when high inflation and the energy crisis worsened public sentiment following the Vietnam War. The current mood, however, feels different. Gallup recently reported that national mental health is at an all-time low, with few bright spots to lift spirits.
To better understand how Americans are feeling and their attitudes towards mental health in general, ThinkNow conducted a nationally representative quantitative survey of 1,500 respondents and found some interesting differences among ethnic, age and gender groups.
Technology
For example, 52% agree that technology and social media have a negative impact on mental health, but when broken out by race, 61% of Whites felt technology had a negative effect, and only 48% of Hispanics thought it did.
While technology has helped us keep in touch with friends and family in faraway places, it appears to have degraded our ability to connect in person. Staying connected online is a double-edged sword since the same news feed that brings us pictures of the grandkids and fluffy kittens also feeds us news about the wars in Israel and Ukraine, the dysfunction in Washington, the latest mass shooting and the climate crisis.
Hispanics may have a built-in defense against the isolation technology breeds, owing to their large, multigenerational households, strong social support systems, and tendency to use social media to stay connected with relatives abroad.
Age and Gender
When asked how individuals rate their mental health, men rate it higher than women by 11 percentage points, and Baby Boomers rank it highest at 83%, saying it’s good or excellent vs. 57% of Gen Z saying the same.
Gen Z spends the most amount of time on social media, so the notion that social media negatively affects mental health appears to be correlated. Unfortunately, Gen Z is also the generation that’s least comfortable discussing mental health concerns with healthcare professionals. Only 40% of them state they’re comfortable discussing their issues with a professional compared to 60% of Millennials and 65% of Boomers.
Race Affects Attitudes
As seen in previous research conducted by ThinkNow, Asian Americans lag other groups when it comes to awareness of mental health issues. Twenty-four percent of Asian Americans believe that having a mental health issue is a sign of weakness compared to the 16% average for all groups. Asians are also considerably less likely to be aware of mental health services in their communities (42% vs. 55%) and most likely to seek out information on social media (51% vs. 35%).
AI Trends in Creative Operations 2024 by Artwork Flow.pdfmarketingartwork
Creative operations teams expect increased AI use in 2024. Currently, over half of tasks are not AI-enabled, but this is expected to decrease in the coming year. ChatGPT is the most popular AI tool currently. Business leaders are more actively exploring AI benefits than individual contributors. Most respondents do not believe AI will impact workforce size in 2024. However, some inhibitions still exist around AI accuracy and lack of understanding. Creatives primarily want to use AI to save time on mundane tasks and boost productivity.
Organizational culture includes values, norms, systems, symbols, language, assumptions, beliefs, and habits that influence employee behaviors and how people interpret those behaviors. It is important because culture can help or hinder a company's success. Some key aspects of Netflix's culture that help it achieve results include hiring smartly so every position has stars, focusing on attitude over just aptitude, and having a strict policy against peacocks, whiners, and jerks.
PEPSICO Presentation to CAGNY Conference Feb 2024Neil Kimberley
PepsiCo provided a safe harbor statement noting that any forward-looking statements are based on currently available information and are subject to risks and uncertainties. It also provided information on non-GAAP measures and directing readers to its website for disclosure and reconciliation. The document then discussed PepsiCo's business overview, including that it is a global beverage and convenient food company with iconic brands, $91 billion in net revenue in 2023, and nearly $14 billion in core operating profit. It operates through a divisional structure with a focus on local consumers.
Content Methodology: A Best Practices Report (Webinar)contently
This document provides an overview of content methodology best practices. It defines content methodology as establishing objectives, KPIs, and a culture of continuous learning and iteration. An effective methodology focuses on connecting with audiences, creating optimal content, and optimizing processes. It also discusses why a methodology is needed due to the competitive landscape, proliferation of channels, and opportunities for improvement. Components of an effective methodology include defining objectives and KPIs, audience analysis, identifying opportunities, and evaluating resources. The document concludes with recommendations around creating a content plan, testing and optimizing content over 90 days.
How to Prepare For a Successful Job Search for 2024Albert Qian
The document provides guidance on preparing a job search for 2024. It discusses the state of the job market, focusing on growth in AI and healthcare but also continued layoffs. It recommends figuring out what you want to do by researching interests and skills, then conducting informational interviews. The job search should involve building a personal brand on LinkedIn, actively applying to jobs, tailoring resumes and interviews, maintaining job hunting as a habit, and continuing self-improvement. Once hired, the document advises setting new goals and keeping skills and networking active in case of future opportunities.
A report by thenetworkone and Kurio.
The contributing experts and agencies are (in an alphabetical order): Sylwia Rytel, Social Media Supervisor, 180heartbeats + JUNG v MATT (PL), Sharlene Jenner, Vice President - Director of Engagement Strategy, Abelson Taylor (USA), Alex Casanovas, Digital Director, Atrevia (ES), Dora Beilin, Senior Social Strategist, Barrett Hoffher (USA), Min Seo, Campaign Director, Brand New Agency (KR), Deshé M. Gully, Associate Strategist, Day One Agency (USA), Francesca Trevisan, Strategist, Different (IT), Trevor Crossman, CX and Digital Transformation Director; Olivia Hussey, Strategic Planner; Simi Srinarula, Social Media Manager, The Hallway (AUS), James Hebbert, Managing Director, Hylink (CN / UK), Mundy Álvarez, Planning Director; Pedro Rojas, Social Media Manager; Pancho González, CCO, Inbrax (CH), Oana Oprea, Head of Digital Planning, Jam Session Agency (RO), Amy Bottrill, Social Account Director, Launch (UK), Gaby Arriaga, Founder, Leonardo1452 (MX), Shantesh S Row, Creative Director, Liwa (UAE), Rajesh Mehta, Chief Strategy Officer; Dhruv Gaur, Digital Planning Lead; Leonie Mergulhao, Account Supervisor - Social Media & PR, Medulla (IN), Aurelija Plioplytė, Head of Digital & Social, Not Perfect (LI), Daiana Khaidargaliyeva, Account Manager, Osaka Labs (UK / USA), Stefanie Söhnchen, Vice President Digital, PIABO Communications (DE), Elisabeth Winiartati, Managing Consultant, Head of Global Integrated Communications; Lydia Aprina, Account Manager, Integrated Marketing and Communications; Nita Prabowo, Account Manager, Integrated Marketing and Communications; Okhi, Web Developer, PNTR Group (ID), Kei Obusan, Insights Director; Daffi Ranandi, Insights Manager, Radarr (SG), Gautam Reghunath, Co-founder & CEO, Talented (IN), Donagh Humphreys, Head of Social and Digital Innovation, THINKHOUSE (IRE), Sarah Yim, Strategy Director, Zulu Alpha Kilo (CA).
Trends In Paid Search: Navigating The Digital Landscape In 2024Search Engine Journal
The search marketing landscape is evolving rapidly with new technologies, and professionals, like you, rely on innovative paid search strategies to meet changing demands.
It’s important that you’re ready to implement new strategies in 2024.
Check this out and learn the top trends in paid search advertising that are expected to gain traction, so you can drive higher ROI more efficiently in 2024.
You’ll learn:
- The latest trends in AI and automation, and what this means for an evolving paid search ecosystem.
- New developments in privacy and data regulation.
- Emerging ad formats that are expected to make an impact next year.
Watch Sreekant Lanka from iQuanti and Irina Klein from OneMain Financial as they dive into the future of paid search and explore the trends, strategies, and technologies that will shape the search marketing landscape.
If you’re looking to assess your paid search strategy and design an industry-aligned plan for 2024, then this webinar is for you.
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SPSS Predictive Analytics: Public Safety Software and Solutions
1. IBM Software Government
Business Analytics
Public Safety: From
“Sense and Respond” to
“Predict and Act”
Introduction
Contents: Today government agencies face greater challenges than ever before.
In addition to promoting public safety, combating crime and gang
1 Introduction
violence, agencies have the added burden of helping to guard against
2 Applications of predictive analytics terrorism and to control the outbreak of infectious diseases.
7 Other applications
To meet these challenges, agencies are trying a variety of approaches.
7 Conclusion Innovative information technologies are playing a key role in improving
your ability to anticipate events and act appropriately. Predictive analytics
8 About SPSS, an IBM Company
is one of those technologies.
Information analysis is the brain behind public safety. The goal of
intelligence activities is to uncover security threats in time to take action
against them. But the patterns that point to these threats are often hidden
in massive amounts of data. To meet this challenge, one form of
information analysis, predictive analytics, is particularly useful.
Predictive analytics solutions apply sophisticated statistical, data
exploration and machine-learning techniques to historical information in
order to help agencies uncover hidden patterns and trends – even in
large, complex datasets. Not only in huge tables of structured data but
also in vast amounts of textual data – including e-mail and chat room
interactions – that agencies must evaluate. By using predictive analytics,
you can anticipate what types of intervention will be needed, and where.
So you can plan, rather than react. And make the best use of available
resources.
In contrast to rules-based analysis and detection methods, predictive
analytics can identify relatively unusual behaviors, even those with subtle
differences that other methods often miss. Predictive analytics techniques
explore and learn from all dimensions of data, thus allowing analysts to
combine human knowledge, first-hand experience and intuition to guide
the application of analytical techniques. Because of predictive analytics’
ability to combine a wide variety of data dimensions, types and sources
on an ongoing basis, it is possible to quickly and reliably detect
inadvertent signatures from hackers, criminals or terrorists.
2. IBM Software Government
Business Analytics
Highlights
With predictive analytics, you can base daily operational decisions on
• Use predictive analytics to improve data-driven models that precisely describe current and developing
border security, law enforcement,
conditions. This enables you to:
intrusion threat detection, infectious
disease control, anti-money laundering
and terrorist financing detection. • Improve your prevention capability and control costs by deploying
personnel where they’re needed most
• Uncover hidden patterns and insights
from large amounts of structured and • Predict which types of events are most likely to escalate so you can
unstructured data. guard against this escalation
• Conduct new investigations more efficiently
• Employ predictive models to anticipate
threats, identify suspicious actors and • Discover patterns in your data that suggest areas for further
effectively allocate resources. investigation
• Explore security threats and study the people and organizations
• Create an automated process for
building models that analyze involved
location-specific data. • Deliver information to the field, where and when it’s needed
Applications of predictive analytics
Border security
Protection against threats often begins at border crossings, airports and
in harbors. Predicting which containers entering a port could contain
unwanted/dangerous materials or which passengers on an airline should
be investigated more thoroughly, or identifying suspect vehicles at land
crossings are key responsibilities for border protection agencies.
One large country implemented the following scenario with IBM SPSS
predictive analytics. The challenge at this country’s border crossings is
best described as follows:
“We cannot stop and search every car that crosses the border. However,
if we can accurately predict the risk level associated with each vehicle –
whether it may be carrying contraband, drugs, money, weapons or illegal
immigrants – we can make optimal use of our inspection staff, increase
our detection rates, better protect the country and its citizens and
improve the experience of innocent travelers by expediting their
crossing.”
At each border crossing, cameras record and recognize the registration
plate of every vehicle. Once this is read, directives are given on the
screens in the crossing control booth – telling the supervisors to either let
the vehicle pass or direct it to the secondary inspection area. If a vehicle is
selected for secondary inspection, information is sent to the PDA of the
inspector responsible; this shows the likelihood of each risk type (drugs,
weapons, etc.), providing the inspector with guidance on what to look for.
Vehicle selections, risk assessments and inspection outcomes are recorded
to enable ongoing reporting on inspection rates by risk type, hit rates,
false positive rates and the amount and value of seizures.
Models are then built from the outcomes of these historical inspections.
The data used is keyed by vehicle registration and would include vehicle
type (including dimensions, capacities, etc.); vehicle ownership (and
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Business Analytics
hence any available information on the owner or driver); and the vehicle’s
history of border crossings at this or other checkpoints. Other factors
giving information about the crossing would also be incorporated – for
example the day of the week, time of day and prevailing weather
conditions.
One model is created for each type of risk. In order to turn these
individual models’ scores into actions, they will be combined with rules
representing the best human knowledge on border risk assessment. Some
of these rules will help govern how “tightly” vehicles are selected for
inspection (i.e., what risk scores trigger a secondary inspection) and may
be varied by pre-defined knowledge of peak traffic times, or manually
adjusted in response to abnormally heavy traffic in order to avoid
creating a backlog of secondary inspections.
The agency controls approximately 300 crossings, and while many will
show similar patterns of violation, each will have its own individual
profile of what risks are likely to occur and which violations will be
attempted in which ways. Ideally, each crossing point should have its own
model for each risk type, built from local data. Creating and managing
this number of models manually would be labor-intensive, expensive and
impractical. If, however, analytical experts create an automated process
for building and applying the models, it can be efficiently applied to local
data for each crossing, ensuring a “best fit” that embodies national best
practices.
Law enforcement
In law enforcement, trends in suspicious or criminal behavior can be
identified using a variety of information, including aggregated or
incident-level data. For example, a crime analyst might use predictive
analytics to:
• Identify areas typically frequented by violent criminals
• Match trends in regional or national gang activity with local incidents
• Profile crimes to identify similarities and match the crimes to known
offenders
• Identify the circumstances (e.g., city events, weather patterns, holidays)
most likely to trigger violent crime for the purpose of predicting when
and where these crimes may occur in the future.
Law enforcement agencies rely on data from diverse sources and
applications. For this reason, predictive analytics solutions with an
open architecture are particularly valuable: They produce results quickly
from existing data. And the true benefit of predictive analytics is realized
when predictive models and analyses are delivered to front-line users –
officers on patrol, detectives on a case and their commanders.
Front-line personnel don’t need to understand the technology to benefit
from the results of predictive analytics. From a browser, they can access
predictive information in a form that’s easy to understand and use.
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IBM has hundreds of customers worldwide among local, regional and
national law enforcement agencies, court systems, correctional
institutions and parole boards. They use IBM SPSS software for a range
of purposes, including:
• Analyzing historical information to better forecast crime trends
• Forecasting correctional facility needs based on trends in crime rates
• Evaluating the success of rehabilitative programs
• Choosing emergency command center sites based on the frequency
and location of incidents
• Analyzing (digital) forensic evidence
• Identifying criminal and terrorist networks from surveillance,
communication and Internet data
• Profiling crimes, criminals and crime scenes
• Predicting effectiveness of resource deployment
• Rapidly identifying patterns in high profile case data
Intrusion threat detection
The cost associated with an attack by a “bad actor” gaining access to
privileged (insider) information will often have a great and prolonged
impact, including violation of confidentiality, undermining of intelligence
integrity, adverse influence on government policy, the revelation of
sources and methods, and the compromise of field operations.
Internal threats
Insider electronic crimes tend to be particularly difficult to detect since
the perpetrator often has a legitimate reason to be accessing, modifying
and manipulating critical and/or sensitive data. Despite these challenges,
most organizations have a substantial amount of data that can be used to
characterize and potentially mitigate an attack by a malicious insider.
This data may include information such as demographics, performance
reviews, past and current project assignments, internal and external
electronic communications and file usage logs.
If a company or agency is concerned about insider access to sensitive
data, the company will often use a set of hard-coded rules to identify
potentially anomalous behavior. For example, a person who normally
works with records from human resources might be flagged for audit if
he makes multiple attempts to access files with sensitive data from the
engineering department. Potentially malicious activity is often much
more subtle and difficult to detect, however.
One method of insider threat detection through predictive analytics
works by taking known cases of malicious behavior and characterizing
the difference between these and known “normal” cases. While this
approach is ideal, in that predictive algorithms can quickly and easily
learn to recognize past behavior, there are inherent difficulties in using
this approach alone. Malicious insider activity is typically a very rare
event. The historical data available to model future behavior often lacks
sufficient cases to accurately predict cases that are similar but not exactly
the same as previous cases of known malicious activity.
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When dealing with insider threat or fraud detection, a “bad actor” may
have normal patterns of behavior that are dynamic and complex. In these
situations, the crime can be very difficult to detect because that person’s
behavior may continue to appear legitimate, with only subtle changes
over time. As a result, it is important not only to determine what behavior
people are exhibiting, but also whose behavior differs from or has
recently changed from that of their peer group.
IBM SPSS technology provides several automated methods for anomaly
detection. This is particularly useful for intelligence work because the
process can be automated, allowing analysts to comb through millions
of records to find outliers or abnormalities.
Often the best approach to insider risk assessment combines methods
that are ideally tuned to the specific goals of the agency as well as to the
available data. It is important to first determine the goals and potential
issues of the analysis results. In assessing and mitigating the potential
threat of an insider attack, these goals may include:
• Determining a prediction, confidence level and propensity score of
the risk of an insider attack
• Calculating the predicted cost or impact of the information breach
• Identifying the length and scope an attack in cases where the loss or
cost of information is invaluable
• Prioritizing audits of detected anomalies or threats with regard to the
level of risk and resources available to conduct the investigation
External threats
The same techniques that are applied to analysis of insider threats are
often useful for analysis of external threats. The primary difference
between insider and external threat analysis is data availability. Attacks
coming from external sources rarely provide the type of demographic
data available for insider threat analysis. Data fields, such as age, group
affiliation, location and historical behavior patterns that can be attributed
to an individual or group are much more difficult to obtain when
analyzing external threats.
When external threats do not provide sufficient information about the
individual or group responsible for an attack or a potential attack, the use
of Social Network Analysis (SNA) techniques can help investigators
better assess the risk of a particular external threat by making associations
to other known individuals, groups or prior attack attempts.
Infectious disease control
To ensure health protection for their citizens, a national government
agency uses IBM SPSS Data Collection and predictive analytics software
to analyze the source and spread of infectious diseases, and to prepare for
and respond to urgent public health threats. When an infectious disease
outbreak strikes, it is imperative that the agency gathers public health
information quickly, regardless of where it occurs or its cause. To better
understand these outbreaks and respond more effectively, the agency
streamlines feedback in a highly secure and controlled environment.
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6. IBM Software Government
Business Analytics
The agency can capture immediate feedback from citizens on critical
public health information, regardless of geography or language, through
a diverse array of channels including telephone, in-person interviews and
online surveys – to better understand the disease and devise the most
appropriate response. These insights increase its understanding of major
public health problems, helping to reduce the morbidity and mortality of
citizens exposed to infectious diseases
After an outbreak of pneumonia at a college in 2007, the agency rapidly
created a questionnaire that was e-mailed to all students to gather a quick
and detailed response on past behaviors, actions and possible exposures
with the objective of identifying potential undetected cases. The
information collected was used to characterize the illness and identify
risk factors for the disease. As a result, the agency was able to swiftly
identify the etiology of the pneumonia outbreak, inform all students of
the situation and provide information on prevention to help stop the
further spread of the pneumonia.
The organization also uses the software to assess medical needs of
specific populations during natural disasters. During several major
disasters, the agency determined what medical items, including
medications and equipment, were needed by victims.
Anti-money laundering and terrorist financing
In the fight against organized crime, human trafficking and terrorism,
the identification of suspicious financial transactions is a major focus of
investigative agencies. “Follow the money” is an old adage that still holds
true today.
Predictive analytics solutions offer the sophisticated pattern recognition,
anomaly detection and risk analysis capabilities required to detect
attempted money laundering successfully. These solutions also help
detect terrorist financing.
With those solutions investigators can:
• Build profiles of past account activity
• Create peer groups of similar accounts
• Identify when activities suspiciously deviate from such profiles or peer
groups
• Limit “false positives” by using risk-based weighting techniques
• Pinpoint suspicious activity and take prompt and appropriate action
A large commercial bank uses IBM SPSS predictive analytics software
to monitor the transactional patterns of its customers. The bank is
committed to preventing money laundering activities in its organization.
Employing IBM SPSS technology, the bank reduced the number of
transactions that required auditing by more than 90 percent. The bank
increased accuracy in identifying positive cases of money laundering,
helping investigators to easily adapt models to the changing tactics of
those engaged in this criminal activity.
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The bank improved the efficiency of its auditing process, increasing
the number of investigations in which authorities were alerted from
less than 25 percent to more than 60 percent. The bank also slashed
the administrative costs of the investigations of suspicious operations
by 60 percent.
Other applications
Some other applications of IBM SPSS predictive analytics in public
safety include:
• Monitoring Internet sites to detect and track terrorist recruiters
• Predict maintenance requirements for essential assets to assure high
availability
• Improve retention and recruitment of critical human resources
Conclusion
People rely on your department or agency to look out for their health
and safety. To do this effectively, you must use your staff and other
resources as efficiently as possible. Having accurate information about
past and current conditions is essential. Employing predictive insight
gives you even greater control, enabling your agency to deploy the right
resources to the right place at the right time.
Protecting a nation’s safety is a complex and demanding task, typically
requiring the coordinated efforts of many agencies. The sooner your
agency can obtain reliable information, the sooner you can make plans
– and take appropriate action. Whether you’re charged with interpreting
intelligence data, identifying insider threats, guarding against network or
physical infrastructure intrusion, protecting border security, or
monitoring other types of suspicious or threatening activity, IBM SPSS
solutions can help you better protect the people who count on you by
transforming your capabilities from “sense and respond” to “predict and
act.”
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