Predictive analytics refers to a variety of statistical techniques that analyze current and historical facts to make predictions about future events. Using such techniques as predictive modeling, machine learning, data mining and game theory, predictive analytics can build models that exploit patterns found in historical and transactional data, patterns that can identify business risks and potential opportunities.
AWS ML and SparkML on EMR to Build Recommendation Engine Amazon Web Services
Machine Learning
A managed supervised learning environment to build different models, including Binary Classification / Multi-class classification / Regression ML. The demos will show a dataset of banking customers with demographics, predicting the likelihood of whether they are going to default using binary classification. Second one will be predicting a UK bike rental shop traffic using linear regression, and third one for predicting a rainforest soil type using multi-class classification.
Benefits: Managed and on-demand environment for supervised learning algorithm, available as batch processing or real-time API.
Spark ML Cluster
Running spark on AWS managed cluster, storing data on HDFS / S3 persistent storage, modules include MLib and Zeppelin (Web Notebook), to build a movie recommendation engine based on “Collaborative Filtering”. The dataset contains 10M ratings provided by grouplens from MovieLens website.
Benefits: Fully managed clusters, with HA, Scalability, Elasticity and Spot instance pricing
In Q2 2022, TIM Group reported revenues of €3.9 billion, down 1.4% year-over-year. Domestic service revenues improved with better fixed line trends in revenue, ARPU, and churn. Mobile trends also improved with human lines stabilizing and churn at its lowest level in 16 years. EBITDA was €1.3 billion, down 12.3% year-over-year, as cost optimization efforts partially offset commercial and industrial cost increases. Net financial debt increased to €19.3 billion after lease liabilities as of June 30, 2022.
Recency/Frequency and Predictive Analytics in the gaming industryQualex Asia
Successful marketing is about reaching a consumer with an interesting offer when he or she is primed to accept it.
Knowing what might interest a patron is half the battle to making a sale and this is where customer intelligence and predictive analytics comes in.
The document discusses how modern analytics are changing casinos in Las Vegas. It describes how casinos have embraced analytics to solve operational problems and identify opportunities. It provides examples of how casinos use analytics for slot machine performance, player behavior analysis, and optimizing areas like high limit rooms. It also discusses future opportunities around converging online, mobile and land-based casino platforms through shared games and player data.
bfonics is a digital content delivery platform that utilizes real time messaging as a tool to empower businesses to create powerful advertisements and marketing campaigns.
Our platform uses Beacon technology, web and mobile application to seamlessly integrate the digital and physical world.
DiCentric Solutions provides casino operators with analytic software packages to help them make strategic decisions about purchasing new gaming devices, issuing free play, and calculating marketing campaign pro formas. The software matches game characteristics with patron preferences, analyzes the effects and costs of free play programs, and aids in evaluating marketing campaign performance and profitability.
The document discusses using customer data and gaming data to improve casino marketing strategies and slot machine configurations. It emphasizes combining player tracking and slot information systems data to understand customer preferences and property utilization. This allows targeting high value customers for events and optimizing the slot floor layout to better meet customer interests and drive higher revenues.
AWS ML and SparkML on EMR to Build Recommendation Engine Amazon Web Services
Machine Learning
A managed supervised learning environment to build different models, including Binary Classification / Multi-class classification / Regression ML. The demos will show a dataset of banking customers with demographics, predicting the likelihood of whether they are going to default using binary classification. Second one will be predicting a UK bike rental shop traffic using linear regression, and third one for predicting a rainforest soil type using multi-class classification.
Benefits: Managed and on-demand environment for supervised learning algorithm, available as batch processing or real-time API.
Spark ML Cluster
Running spark on AWS managed cluster, storing data on HDFS / S3 persistent storage, modules include MLib and Zeppelin (Web Notebook), to build a movie recommendation engine based on “Collaborative Filtering”. The dataset contains 10M ratings provided by grouplens from MovieLens website.
Benefits: Fully managed clusters, with HA, Scalability, Elasticity and Spot instance pricing
In Q2 2022, TIM Group reported revenues of €3.9 billion, down 1.4% year-over-year. Domestic service revenues improved with better fixed line trends in revenue, ARPU, and churn. Mobile trends also improved with human lines stabilizing and churn at its lowest level in 16 years. EBITDA was €1.3 billion, down 12.3% year-over-year, as cost optimization efforts partially offset commercial and industrial cost increases. Net financial debt increased to €19.3 billion after lease liabilities as of June 30, 2022.
Recency/Frequency and Predictive Analytics in the gaming industryQualex Asia
Successful marketing is about reaching a consumer with an interesting offer when he or she is primed to accept it.
Knowing what might interest a patron is half the battle to making a sale and this is where customer intelligence and predictive analytics comes in.
The document discusses how modern analytics are changing casinos in Las Vegas. It describes how casinos have embraced analytics to solve operational problems and identify opportunities. It provides examples of how casinos use analytics for slot machine performance, player behavior analysis, and optimizing areas like high limit rooms. It also discusses future opportunities around converging online, mobile and land-based casino platforms through shared games and player data.
bfonics is a digital content delivery platform that utilizes real time messaging as a tool to empower businesses to create powerful advertisements and marketing campaigns.
Our platform uses Beacon technology, web and mobile application to seamlessly integrate the digital and physical world.
DiCentric Solutions provides casino operators with analytic software packages to help them make strategic decisions about purchasing new gaming devices, issuing free play, and calculating marketing campaign pro formas. The software matches game characteristics with patron preferences, analyzes the effects and costs of free play programs, and aids in evaluating marketing campaign performance and profitability.
The document discusses using customer data and gaming data to improve casino marketing strategies and slot machine configurations. It emphasizes combining player tracking and slot information systems data to understand customer preferences and property utilization. This allows targeting high value customers for events and optimizing the slot floor layout to better meet customer interests and drive higher revenues.
The document discusses the importance of exceeding customer expectations to create memorable customer experiences. It provides an example of how the Fairmont Winnipeg hotel delivers exceptional customer service through small personalized details like greeting returning customers by name and remembering their preferences, which builds strong customer loyalty and word-of-mouth promotion even with regular business travelers. The document advocates investing in managing the customer experience to create anticipation and memorable visits that increase business metrics like profitability and property values through repeat visits and referrals.
Rich Lehman founded DiCentric Solutions with over 35 years of experience in the gaming industry. The company provides consulting and software to analyze slot operations, marketing campaigns, and patron data. Their tools help casinos optimize game performance, understand patron preferences, and improve yield management. Analyzing game characteristics and minimizing non-playing time can increase revenues and the guest experience.
This document provides an overview of Rich Lehman's slot seminar. It discusses several topics related to slot operations and management including game selection, weighted hold percentages, floor design, evaluating game performance, moving the casino hold, and slot budgeting and business planning. Rich Lehman has over 34 years experience in slot operations and management. The seminar aims to provide expertise on optimizing slot revenue and operations.
An investigation of the mathematics of casino gaming particularly how quantities like house advantage, expected value, win, hold, drop, and hold percentage are used by casinos.
This document analyzes the slot floor of XYZ Casino which has 1173 total slot machines from various manufacturers. IGT dominates the floor with 815 machines (69.48% market share) and the top performing games are Wheel of Fortune and poker games. The analysis provides recommendations such as converting underperforming leased games, adding more high denomination games, improving location of weaker performing games, and monitoring participation games closely. Overall, the casino's slot floor is performing well with a daily win of $97,702 but there is room for optimization in specific areas.
Topic: What is the role of analytics in running live games? Game studios generally know that they need to instrument and use analytics, but often don't know how to use the data they are presented with to improve their games. Allison presents a "playbook" with detailed instructions on how to analyze the health of a game, what data to be focusing on to get insights and direction, and a framework by which everyone can be involved in the analysis process. This presentation pulls on Allison's experience building the game analytics function at PopCap Games, as well as bring insights from other leaders in the game industry and analytics space. [These were the supporting slides for Allison's talk at Nordic Game 2014].
Allison Bilas Bio: Hailing from Seattle, Washington, Allison earned her MBA at the University of Washington and then joined mobile games giant PopCap in 2011, where she built the game analytics team from scratch and assisted on hit titles Bejeweled Blitz and Plants vs. Zombies 2, amongst others. Now with several years of high-level user behavior analysis under her belt, Bilas joined the GameAnalytics team as VP of Product to manage the product design team and align efforts in making the best game analytics tool for game developers of all sizes.
This document provides an introduction to casino mathematics and game expectancy. It discusses key concepts like probability, statistics, theoretical advantage, house edge, theoretical win and hold percentage. The document is presented over multiple slides that define these terms and concepts, provide examples, and explain how casinos can use mathematical tools and metrics like theoretical win and hold percentage to effectively manage their games and increase profits.
Introduction to Casino Industry by Ramachandar SivaRamachandar Siva
The slide introduces no casino people to the world of casino gaming in brief covering major casino-reosrts in the world and how a casino organisation functions.
Of interest would be the explanation of casino mathematics, in basic form. This presentation was prepared for the academic staff of Nanyang Polytecnic Singapore and presneted by Ramachandar Siva in May 2008. A brif about Ramachandar's former casino school in Singapore is included.
Workshop: Value Chains - An introduction to value chainsWorldFish
This document provides an overview of a workshop on value chain analysis and development. It defines key concepts such as value chains, value chain analysis, institutional frameworks, governance, upgrading, and gender considerations. It also outlines steps for value chain development programs, including selecting value chains, conducting analysis, identifying and assessing solutions, implementing interventions, and monitoring outcomes. Case studies discussed include analyzing impacts of large companies' procurement practices on poverty reduction, improving small-scale producer value chains, and using cost-benefit analysis to evaluate fishing policies.
Building a Recommendation System for EverQuest Landmark’s MarketplaceBen Weber
The document discusses building a recommendation system for EverQuest Landmark's marketplace using collaborative filtering. It describes prototyping recommendations using Apache Mahout, which showed a 80% increase in recall over top sellers lists. Landmark's system uses user-to-user collaborative filtering on gameplay data to recommend user-created content. Recommendations now drive over 10% of item sales and users who purchased recommendations have 10% higher lifetime value.
Getting Other People to Care - Social Media Breakfast CTCauseShift
Scott Henderson, managing director of CauseShift, presented at the Social Media Breakfast Connecticut December meeting at Quinnipiac University. He focused on how organizations and people can use social media to engage others in causes they care about.
Abdullah bin__abdul-baarii_al-ahdal_-_the_slicing_swordLight Upon Light
The document discusses several topics:
- It describes a system for tracking documents and their revisions over time using document IDs and version numbers.
- Metadata is stored with the documents to record information like the author, dates, and change history.
- Procedures are in place to ensure data integrity as documents are created, modified, and approved by multiple parties.
This document analyzes the relationship between prehistoric settlement sites and nearby water sources and elevation in a region. It maps out projectile point sites and end scraper sites in relation to constant and shallow streams within 250m, 250-500m, and over 500m zones. The map shows sites are most concentrated within 250m of streams, with fewer present further away, indicating proximity to water was important in determining where settlements were located. Elevation across the region ranges from 95 to 619 meters.
The document outlines the rules and regulations for a conference. It details the schedule over multiple days, including sessions, breaks and meals. Guests are expected to adhere to behavioral guidelines promoting respect and inclusion. The organizing committee works to ensure all attendees have a positive experience at the event.
Recruit, Retain, Realize - How Third Party Transactional Data Can Power Your ...Doug Oldfield
What types of data are available and when and how should each type of data be used? Transactional data and its uses are highlighted within this presentation.
Recruit, Retain, Realize - How Third Party Transactional Data Can Power Your ...Doug Oldfield
This presentation provides an overview of many types of commercial B2C data on the market as well as how and when to use each type. We also cover how special and unique transactional data is and how this type of data can be incredibly powerful in predicting response.
The document discusses strategies for the future of gaming, including focusing on community building and social interactions, offering customizable experiences for different player types, and integrating gaming with lifestyle brands through product placements, sponsorships, and updates. It also explores monetization opportunities such as in-game purchases, subscriptions, and eSports tournaments. Overall, the strategies aim to keep players engaged over the long term through diverse and personalized gaming experiences.
Gamers are addicted to gaming due to a sense of achievement, positive experiences, and real-world connections. In-game advertising enhances escapism without being intrusive or asking players to leave the game. Gameification uses game mechanics to encourage desired behaviors like completing surveys. Social gaming is popular, especially among women, and games like FarmVille are responsible for its growth. Alternate reality games make experiences immersive by recognizing leaders and giving opportunities for co-creation.
Creating Great Infographics & Visual Content Visually
This document discusses creating effective visual content such as infographics. It emphasizes that visuals are important because people can only process a small fraction of the messages they receive, and the average attention span is short. It recommends focusing on story, data, and design when creating visual content. Stories should drive the visual, it should be based on good data and analysis, and the design must support the narrative. The document also provides examples of types of content that can be visualized and discusses using the Visually platform to collaborate with designers and creatives on projects.
The document discusses the importance of exceeding customer expectations to create memorable customer experiences. It provides an example of how the Fairmont Winnipeg hotel delivers exceptional customer service through small personalized details like greeting returning customers by name and remembering their preferences, which builds strong customer loyalty and word-of-mouth promotion even with regular business travelers. The document advocates investing in managing the customer experience to create anticipation and memorable visits that increase business metrics like profitability and property values through repeat visits and referrals.
Rich Lehman founded DiCentric Solutions with over 35 years of experience in the gaming industry. The company provides consulting and software to analyze slot operations, marketing campaigns, and patron data. Their tools help casinos optimize game performance, understand patron preferences, and improve yield management. Analyzing game characteristics and minimizing non-playing time can increase revenues and the guest experience.
This document provides an overview of Rich Lehman's slot seminar. It discusses several topics related to slot operations and management including game selection, weighted hold percentages, floor design, evaluating game performance, moving the casino hold, and slot budgeting and business planning. Rich Lehman has over 34 years experience in slot operations and management. The seminar aims to provide expertise on optimizing slot revenue and operations.
An investigation of the mathematics of casino gaming particularly how quantities like house advantage, expected value, win, hold, drop, and hold percentage are used by casinos.
This document analyzes the slot floor of XYZ Casino which has 1173 total slot machines from various manufacturers. IGT dominates the floor with 815 machines (69.48% market share) and the top performing games are Wheel of Fortune and poker games. The analysis provides recommendations such as converting underperforming leased games, adding more high denomination games, improving location of weaker performing games, and monitoring participation games closely. Overall, the casino's slot floor is performing well with a daily win of $97,702 but there is room for optimization in specific areas.
Topic: What is the role of analytics in running live games? Game studios generally know that they need to instrument and use analytics, but often don't know how to use the data they are presented with to improve their games. Allison presents a "playbook" with detailed instructions on how to analyze the health of a game, what data to be focusing on to get insights and direction, and a framework by which everyone can be involved in the analysis process. This presentation pulls on Allison's experience building the game analytics function at PopCap Games, as well as bring insights from other leaders in the game industry and analytics space. [These were the supporting slides for Allison's talk at Nordic Game 2014].
Allison Bilas Bio: Hailing from Seattle, Washington, Allison earned her MBA at the University of Washington and then joined mobile games giant PopCap in 2011, where she built the game analytics team from scratch and assisted on hit titles Bejeweled Blitz and Plants vs. Zombies 2, amongst others. Now with several years of high-level user behavior analysis under her belt, Bilas joined the GameAnalytics team as VP of Product to manage the product design team and align efforts in making the best game analytics tool for game developers of all sizes.
This document provides an introduction to casino mathematics and game expectancy. It discusses key concepts like probability, statistics, theoretical advantage, house edge, theoretical win and hold percentage. The document is presented over multiple slides that define these terms and concepts, provide examples, and explain how casinos can use mathematical tools and metrics like theoretical win and hold percentage to effectively manage their games and increase profits.
Introduction to Casino Industry by Ramachandar SivaRamachandar Siva
The slide introduces no casino people to the world of casino gaming in brief covering major casino-reosrts in the world and how a casino organisation functions.
Of interest would be the explanation of casino mathematics, in basic form. This presentation was prepared for the academic staff of Nanyang Polytecnic Singapore and presneted by Ramachandar Siva in May 2008. A brif about Ramachandar's former casino school in Singapore is included.
Workshop: Value Chains - An introduction to value chainsWorldFish
This document provides an overview of a workshop on value chain analysis and development. It defines key concepts such as value chains, value chain analysis, institutional frameworks, governance, upgrading, and gender considerations. It also outlines steps for value chain development programs, including selecting value chains, conducting analysis, identifying and assessing solutions, implementing interventions, and monitoring outcomes. Case studies discussed include analyzing impacts of large companies' procurement practices on poverty reduction, improving small-scale producer value chains, and using cost-benefit analysis to evaluate fishing policies.
Building a Recommendation System for EverQuest Landmark’s MarketplaceBen Weber
The document discusses building a recommendation system for EverQuest Landmark's marketplace using collaborative filtering. It describes prototyping recommendations using Apache Mahout, which showed a 80% increase in recall over top sellers lists. Landmark's system uses user-to-user collaborative filtering on gameplay data to recommend user-created content. Recommendations now drive over 10% of item sales and users who purchased recommendations have 10% higher lifetime value.
Getting Other People to Care - Social Media Breakfast CTCauseShift
Scott Henderson, managing director of CauseShift, presented at the Social Media Breakfast Connecticut December meeting at Quinnipiac University. He focused on how organizations and people can use social media to engage others in causes they care about.
Abdullah bin__abdul-baarii_al-ahdal_-_the_slicing_swordLight Upon Light
The document discusses several topics:
- It describes a system for tracking documents and their revisions over time using document IDs and version numbers.
- Metadata is stored with the documents to record information like the author, dates, and change history.
- Procedures are in place to ensure data integrity as documents are created, modified, and approved by multiple parties.
This document analyzes the relationship between prehistoric settlement sites and nearby water sources and elevation in a region. It maps out projectile point sites and end scraper sites in relation to constant and shallow streams within 250m, 250-500m, and over 500m zones. The map shows sites are most concentrated within 250m of streams, with fewer present further away, indicating proximity to water was important in determining where settlements were located. Elevation across the region ranges from 95 to 619 meters.
The document outlines the rules and regulations for a conference. It details the schedule over multiple days, including sessions, breaks and meals. Guests are expected to adhere to behavioral guidelines promoting respect and inclusion. The organizing committee works to ensure all attendees have a positive experience at the event.
Recruit, Retain, Realize - How Third Party Transactional Data Can Power Your ...Doug Oldfield
What types of data are available and when and how should each type of data be used? Transactional data and its uses are highlighted within this presentation.
Recruit, Retain, Realize - How Third Party Transactional Data Can Power Your ...Doug Oldfield
This presentation provides an overview of many types of commercial B2C data on the market as well as how and when to use each type. We also cover how special and unique transactional data is and how this type of data can be incredibly powerful in predicting response.
The document discusses strategies for the future of gaming, including focusing on community building and social interactions, offering customizable experiences for different player types, and integrating gaming with lifestyle brands through product placements, sponsorships, and updates. It also explores monetization opportunities such as in-game purchases, subscriptions, and eSports tournaments. Overall, the strategies aim to keep players engaged over the long term through diverse and personalized gaming experiences.
Gamers are addicted to gaming due to a sense of achievement, positive experiences, and real-world connections. In-game advertising enhances escapism without being intrusive or asking players to leave the game. Gameification uses game mechanics to encourage desired behaviors like completing surveys. Social gaming is popular, especially among women, and games like FarmVille are responsible for its growth. Alternate reality games make experiences immersive by recognizing leaders and giving opportunities for co-creation.
Creating Great Infographics & Visual Content Visually
This document discusses creating effective visual content such as infographics. It emphasizes that visuals are important because people can only process a small fraction of the messages they receive, and the average attention span is short. It recommends focusing on story, data, and design when creating visual content. Stories should drive the visual, it should be based on good data and analysis, and the design must support the narrative. The document also provides examples of types of content that can be visualized and discusses using the Visually platform to collaborate with designers and creatives on projects.
Understanding Feature Space in Machine Learning - Data Science Pop-up SeattleDomino Data Lab
Machine learning derives mathematical models from raw data. In the model building process, raw data is first processed into "features," then the features are given to algorithms to train a model. The process of turning raw data into features is sometimes called feature engineering, and it is a crucial step in model building. Good features lead to successful models with a lot of predictive power; bad features lead to a lot of headache and nowhere.
This talk aims to help the audience understand what is a feature space and why it is so important. We will go through some common feature space representations of English text and discuss what tasks they are suited for and why. Expect lots of pictures, whiteboard drawings and handwaving. We will exercise our power of imagination to visualize high dimensional feature spaces in our mind's eye. Presented by Alice Zheng Director of Data Science at Dato.
Similar to Predictive analytics in the gaming industry (13)
This document discusses real-time marketing and analytics. It begins by discussing how The Cluetrain Manifesto highlighted how the internet was revolutionizing business communications and marketing needs to adapt. It then defines real-time marketing as engaging customers via digital technologies on their terms. Successful real-time marketing requires gathering data from multiple sources, analyzing it to understand customer interests and behaviors, and targeting customers with timely, relevant offers. The document also discusses how in-memory computing systems can help companies gain insights from massive amounts of customer data in real-time by processing queries much faster than traditional disk-based systems.
The predictive casino is a casino or an integrated resort that takes into account everything that is happening on the casino property by the patrons, customers (we’ll consider these the people who haven’t signed up for a player card yet and are, therefore, mostly untrackable), the employees, and the vendors. The predictive casino utilizes all of the data associated with all of these individuals to make better business decisions for the company as a whole. Descriptive analytics, diagnostic analytics, predictive analytics, prescriptive analytics and the newest entrant into the growing field of analytics—edge analytics—are exploited throughout the enterprise to reach as real-time an IT environment as possible. The predictive casino comingles structured, semi-structured, and unstructured data to provide customer insights down to the granular level and utilizes these insights to improve customer intelligence, marketing automation, analytics, and social media marketing. Extrapolating one customer’s experience to that of thousand, ten thousand, a hundred thousand, even, potentially, a million can provide insights into both short term labor needs, and long-term supply and operational needs.
In 1999, ’The Cluetrain Manifesto’ warned that ‘markets are conversations’. Finally, some 15 years later, software, hardware, mobile and social media vendors have come together to provide tools that allow companies to join and manipulate the conversation. This paper provides a quick overview of the available hardware and software solutions; a discussion of the in-memory landscape, including the strengths and weaknesses of the competing products; and a summary of the latest developments in the social media monitoring space. Given the importance of personalisation and one-to-one advertising for increasing traffic, raising customer conversion rates and increasing average order value, these systems can either be a company’s best friend or its worst enemy.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
SAS - Customer Intelligence for cruise lines. SAS's CI 360 decision hub approach combines:
Insight - valuable information gleaned from the analytical outcomes of data.
Rules - the management of policies, sequences, and constraints across the business.
Decisions - channel-independent decision logic provides the ability to serve responses or replies - either in real time or batch modes.
Actions - customer engagement activities and responses are tracked and centrally managed to create the most compelling customer experience and the best marketing ROI.
Integrating social media with mobile, online and other marketing channelsIntelligencia Limited
While the traditional model of blasting messages to customers and potential customers is fading, a new model has emerged. The same customers who are tuning out the formulaic advertising messages of yesterday are now tuning in to their own personal world of social media for product and marketing advice. Being ‘social’ means being available for real-time marketing, real-time customer service and real-time user analytics. The combination of mobile and social media marketing is powerful because it represents an interactive cross-media channel that allows consumers to move instantly from ad placement to point of sale, anytime, anywhere. Together, mobile and social technology are not only transforming how people communicate with each other but also how advertisers and marketers are communicating with them. By mining conversations across multiple social channels, sentiment analysis can help create strategies and engage new customers, while also revealing important insights into a company and its products. This new reality offers a great opportunity to any company willing to step into the world of mobile and social media marketing.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.