Shopper Immersion Research uses in-home, in-store, and post-shopping interviews to provide insights into consumer attitudes and behaviors. They evaluate planograms, new shelf sets, and merchandising scenarios using eye tracking technology in labs across the US. The Meyer Research Center specializes in in-store consumer interviews and observation studies using mobile devices to understand shopping decisions in real time.
The document discusses limitations of traditional shopper research methods and introduces an alternative protocol called WI-TAIL. The key points are:
1. Traditional methods like focus groups and surveys conducted away from the store fail to capture important influences on in-store shopping behavior and impulse purchases.
2. WI-TAIL uses on-site recruitment, non-intrusive observation using video glasses, quantitative surveys, and qualitative interviews to gain insights.
3. The case studies and quizzes provide examples of how WI-TAIL can reveal behaviors and factors not evident in traditional methods, helping to improve marketing strategies.
Customer Intelligence & Analytics - Part II: Exploring the Idea & Value of Ma...Vivastream
The document discusses marketing analytic techniques, including data mining. It describes how data mining can help with various stages of customer acquisition, activation, relationship management, retention, and win-back. Specifically, it explains how data mining can help identify good prospects, understand customer longevity, reduce risk, and optimize messaging to improve customer lifetime value. The goal is to operationalize analytics at each stage of the customer lifecycle to improve marketing outcomes.
This document discusses IBM's Social Merchandising solution for retailers. Some key points:
- Social Merchandising combines internal and external customer data sources like social media, surveys, call centers to provide merchants insights into customer sentiment, trends, and perceptions.
- It aims to help merchants understand why customers perceive things like quality and value in certain ways, not just what is being said.
- The solution provides a dashboard that tracks key metrics and trends to help merchants make decisions around pricing, promotions, and inventory.
The document summarizes the mission and business goals of EyeCom Corp, an eye-tracking technology company. It aims to enter markets where it has expertise and license its "Human Visual Computer Interface" technology to third parties. It seeks funding to commercialize products for markets like assisted living devices, transportation safety, and video games that could benefit from eye-tracking controls. The company's leadership has decades of experience in technology and business.
This document discusses Hive, an open source data warehousing system built on top of Hadoop. Hive allows users to query data stored in Hadoop using a SQL-like language called HiveQL. Queries are compiled into MapReduce jobs for execution. The document describes Hive's data model, data types, HiveQL language, and metastore. It provides an example of using Hive to analyze Facebook status updates.
Pontillo Semanti Code Using Content Similarity And Database Driven Matching T...Kalle
Laboratory eyetrackers, constrained to a fixed display and static (or accurately tracked) observer, facilitate automated analysis of fixation data. Development of wearable eyetrackers has extended environments and tasks that can be studied at the expense of automated analysis. Wearable eyetrackers provide 2D point-of-regard (POR) in scene-camera coordinates, but the researcher is typically interested in some high-level semantic property (e.g., object identity, region, or material) surrounding individual fixation points. The synthesis of POR into fixations and semantic information remains a labor-intensive manual task, limiting the application of wearable eyetracking.
We describe a system that segments POR videos into fixations and allows users to train a database-driven, object-recognition system. A correctly trained library results in a very accurate and semi-automated translation of raw POR data into a sequence of objects, regions or materials.
Stellmach Advanced Gaze Visualizations For Three Dimensional Virtual Environm...Kalle
Gaze visualizations represent an effective way for gaining fast insights into eye tracking data. Current approaches do not adequately support eye tracking studies for three-dimensional (3D) virtual environments. Hence, we propose a set of advanced gaze visualization techniques for supporting gaze behavior analysis in such environments. Similar to commonly used gaze visualizations for twodimensional
stimuli (e.g., images and websites), we contribute advanced 3D scan paths and 3D attentional maps. In addition, we introduce a models of interest timeline depicting viewed models, which can be used for displaying scan paths in a selected time segment. A prototype toolkit is also discussed which combines an implementation of our proposed techniques. Their potential for facilitating eye tracking studies in virtual environments was supported by a user study among eye tracking and visualization experts.
This document discusses mobile eye-tracking technology for user experience testing. It provides a brief history of eye-tracking research and developments in eye-tracking technology, including mobile eye-trackers. It introduces the InSight Out method for semi-automatic analysis of mobile eye-tracking data without predefined areas of analysis using image processing techniques. Examples are given of eye-tracking experiments conducted and initial results from applying the InSight Out method, with plans discussed for future developments and commercialization of the technology.
The document discusses limitations of traditional shopper research methods and introduces an alternative protocol called WI-TAIL. The key points are:
1. Traditional methods like focus groups and surveys conducted away from the store fail to capture important influences on in-store shopping behavior and impulse purchases.
2. WI-TAIL uses on-site recruitment, non-intrusive observation using video glasses, quantitative surveys, and qualitative interviews to gain insights.
3. The case studies and quizzes provide examples of how WI-TAIL can reveal behaviors and factors not evident in traditional methods, helping to improve marketing strategies.
Customer Intelligence & Analytics - Part II: Exploring the Idea & Value of Ma...Vivastream
The document discusses marketing analytic techniques, including data mining. It describes how data mining can help with various stages of customer acquisition, activation, relationship management, retention, and win-back. Specifically, it explains how data mining can help identify good prospects, understand customer longevity, reduce risk, and optimize messaging to improve customer lifetime value. The goal is to operationalize analytics at each stage of the customer lifecycle to improve marketing outcomes.
This document discusses IBM's Social Merchandising solution for retailers. Some key points:
- Social Merchandising combines internal and external customer data sources like social media, surveys, call centers to provide merchants insights into customer sentiment, trends, and perceptions.
- It aims to help merchants understand why customers perceive things like quality and value in certain ways, not just what is being said.
- The solution provides a dashboard that tracks key metrics and trends to help merchants make decisions around pricing, promotions, and inventory.
The document summarizes the mission and business goals of EyeCom Corp, an eye-tracking technology company. It aims to enter markets where it has expertise and license its "Human Visual Computer Interface" technology to third parties. It seeks funding to commercialize products for markets like assisted living devices, transportation safety, and video games that could benefit from eye-tracking controls. The company's leadership has decades of experience in technology and business.
This document discusses Hive, an open source data warehousing system built on top of Hadoop. Hive allows users to query data stored in Hadoop using a SQL-like language called HiveQL. Queries are compiled into MapReduce jobs for execution. The document describes Hive's data model, data types, HiveQL language, and metastore. It provides an example of using Hive to analyze Facebook status updates.
Pontillo Semanti Code Using Content Similarity And Database Driven Matching T...Kalle
Laboratory eyetrackers, constrained to a fixed display and static (or accurately tracked) observer, facilitate automated analysis of fixation data. Development of wearable eyetrackers has extended environments and tasks that can be studied at the expense of automated analysis. Wearable eyetrackers provide 2D point-of-regard (POR) in scene-camera coordinates, but the researcher is typically interested in some high-level semantic property (e.g., object identity, region, or material) surrounding individual fixation points. The synthesis of POR into fixations and semantic information remains a labor-intensive manual task, limiting the application of wearable eyetracking.
We describe a system that segments POR videos into fixations and allows users to train a database-driven, object-recognition system. A correctly trained library results in a very accurate and semi-automated translation of raw POR data into a sequence of objects, regions or materials.
Stellmach Advanced Gaze Visualizations For Three Dimensional Virtual Environm...Kalle
Gaze visualizations represent an effective way for gaining fast insights into eye tracking data. Current approaches do not adequately support eye tracking studies for three-dimensional (3D) virtual environments. Hence, we propose a set of advanced gaze visualization techniques for supporting gaze behavior analysis in such environments. Similar to commonly used gaze visualizations for twodimensional
stimuli (e.g., images and websites), we contribute advanced 3D scan paths and 3D attentional maps. In addition, we introduce a models of interest timeline depicting viewed models, which can be used for displaying scan paths in a selected time segment. A prototype toolkit is also discussed which combines an implementation of our proposed techniques. Their potential for facilitating eye tracking studies in virtual environments was supported by a user study among eye tracking and visualization experts.
This document discusses mobile eye-tracking technology for user experience testing. It provides a brief history of eye-tracking research and developments in eye-tracking technology, including mobile eye-trackers. It introduces the InSight Out method for semi-automatic analysis of mobile eye-tracking data without predefined areas of analysis using image processing techniques. Examples are given of eye-tracking experiments conducted and initial results from applying the InSight Out method, with plans discussed for future developments and commercialization of the technology.
Data mining involves discovering patterns and trends in large data sets. It uses techniques from statistics, mathematics, and computer science to find hidden patterns and relationships in the data. Data mining has applications in marketing, finance, manufacturing, and healthcare to gain insights from data. The data mining process involves defining the problem, preparing data, exploring and analyzing the data, building models, validating models, and deploying the best models. Issues in data mining include handling different data types, incorporating background knowledge, and protecting privacy and security. Active areas of research will continue advancing data mining techniques.
Chap 11 understanding marketing processes and consumer behaviorMemoona Qadeer
The document discusses marketing processes and consumer behavior, including defining marketing and the marketing mix of product, price, place, and promotion. It also covers target marketing and market segmentation, marketing research methods, factors that influence consumer behavior, organizational buying behavior, and considerations for international marketing and small business marketing mixes.
The document discusses marketing processes and consumer behavior, including defining the marketing mix of product, price, place, and promotion. It also covers target marketing and market segmentation, marketing research methods, factors that influence consumer behavior, organizational buying behavior, and considerations for the international and small business marketing mixes. The overall focus is on understanding the different elements involved in marketing to consumers and organizations.
This document discusses how analytics can provide competitive advantages for businesses. It explains that analytics involves translating customer, market, and company data into actions through a combination of knowledge, skills, and technology to support faster and better decision making. The document outlines several types of insights that can be gained, such as competitive insights, market insights, and business insights. It then provides examples of initial analytics projects that can be undertaken, including sales forecasting, price analysis, brand and reputation tracking, and gathering customer insights. Finally, it describes the services that AnalitiQs provides to help organizations successfully introduce and improve their analytics capabilities.
This document discusses using insights to drive business ideas. It provides examples of insights and explains that insights go deeper than just observations or data. Insights should induce meaning and further understanding. The document also discusses using hybrid research techniques, like combining qualitative and quantitative methods, to develop a holistic understanding of the market. It provides examples of segmentation approaches that can align with retailers or brands to better target shopper segments.
Meyers Research Center is a leading retail research organization that conducts in-store intercept surveys of convenience store shoppers to understand their behaviors, attitudes, and purchasing decisions. For over 30 years, MRC has surveyed over 2,000 shoppers per wave across the US and Canada on topics like category selection, brand preferences, and factors influencing purchases. The ninth wave of the Convenience Store Close-Up study will take place in 2012, with sponsorship opportunities available to commission customized analyses for a fee.
The document discusses how integrating different types of marketing data can provide a more holistic view of the impact of marketing initiatives. It describes how a company analyzed data from brand surveys, scanner data of retail sales, and consumer panel data all together. This allowed them to see that while brand surveys showed steady brand performance, retail sales and consumer behavior data revealed that frequent price promotions were training customers to only buy the brand when it was on sale and were devaluing the brand over time. Integrating these multiple data sources provided useful insights about how marketing activities were truly affecting customer attitudes and purchase behavior.
Meyers Research Center provides advanced analytics expertise and sensory research services to evaluate existing products, test new product ideas, and gauge consumer responses. They use a variety of quantitative and qualitative research methods including sensory testing, surveys, focus groups, and observational studies. Their goal is to provide strategic insights and recommendations to help clients make better business decisions.
nfinite Insight is a strategic market research and insight agency operating across the African continent.
We are a team of experienced market research professionals, who have worked with blue chip clients across Sub-Saharan Africa, Europe and America.
Our collective personal experience of working in these diverse markets informs our sensitivity to the peculiarities and cultural differences of individual markets.
We adapt and fine-tune research tools and techniques to give you infinite insight...
Understanding market research and the benefits it provides to marketing decisions. When to use quantitative, qualitative, primary and secondary techniques is vital to marketing strategy.
This 3 sentence summary provides the key details about the document:
The document outlines a market research proposal for Nike to assess consumer awareness, preferences, and purchase interest for their Dri-FIT range of products across Asia Pacific markets, with the goal of determining whether to change, reinvigorate, or phase out the line. A mixed methodology is proposed including store audits, focus groups, and exit interviews to understand brand perceptions and barriers to purchase from both quantitative and qualitative perspectives. The research is designed to be conducted over 10 weeks across Hong Kong, Shanghai, and Sydney with samples of 300 consumers and store visits.
1. The document discusses various aspects of consumer behavior including the buying process, perceived risk, influence of family life cycle, new urban families, industrial consumer behavior, and differences between individual and industrial consumer behavior.
2. Key aspects of marketing research are covered such as the research process, design, analysis methods, and preparing the marketing research report. Different types of marketing research are also discussed including new product launch research, advertising research, customer satisfaction research, and competitor analysis research.
3. Distribution and retail store image research methods are summarized as well as how to understand results, draw conclusions and communicate findings in a marketing research report. The document provides an overview of important consumer behavior and marketing research concepts.
This document provides an overview of various research designs and data collection methods in marketing research. It discusses exploratory and descriptive research designs, and explains the differences between exploratory and conclusive research. It also distinguishes between primary and secondary data, describing how to evaluate secondary data sources. Finally, it outlines several survey methods like telephone, personal, mail, and electronic surveys, and discusses observation methods.
Introduction to Marketing - Session 2 at ITM, Mumbai. Includes:
Targeting
What is good marketing research?
Marketing research Questions
Types of information
Types of market research
Market research summary
Test Market
Define Target Audience
Estimate market potential
Analyze market share/share of customer
Track competitors
Identify market characteristics & trends
Analyze sales data
Sales forecasting: Existing / new products
Product
• Product Strategy
• Product Essentials
• Features and Benefits
• Classifying products
• Product line and mix
• Branding
• Packaging and LabellingTrademarks
Positioning and Brand Building
• The Art of Positioning is Marketing
• Positioning the game of Mind and Heart
• Brand is a Promise
• Brand is owned by Customers
• Understanding Brand Drivers
• Brand Attributes
• Brand Architecture
• The Positioning Template
This document discusses data mining in marketing. It begins with defining data mining and explaining why it is important for predicting trends and analyzing customer behavior. The purpose of data mining in marketing is to better understand customers to target campaigns accurately. Key techniques discussed include market basket analysis, social media marketing, and knowledge-based marketing. Common data mining tools for marketing include RapidMiner, WEKA, and Python libraries. In conclusion, data mining can help businesses increase profits, reduce costs, and analyze customer purchase patterns.
Understanding and winning your customers in the big data era ( retail industry)Kim Ming Teh
Section 1: Understand & winning your customer in big data era
1) The age of customer & Key trends in retail
2) Big data analytic and use case
Section 2: Interactive Case study
Offline vs Online Retail & Omni-Channel Future
The document discusses qualitative and quantitative consumer research methods. Quantitative research uses experimental and survey techniques to descriptively and empirically measure consumer behavior. Qualitative research uses depth interviews, focus groups, and projective techniques administered by trained interviewers to subjectively understand consumption practices. Positivism aims to predict behavior through quantitative methods, while interpretivism seeks to understand experiences through qualitative research. The consumer research process involves defining objectives, collecting secondary and primary data, designing qualitative and quantitative studies, analyzing results, and reporting findings.
The document discusses marketing research techniques. It covers general principles of marketing research including qualitative and quantitative research. Qualitative research methods are used for exploratory studies to understand behaviors, attitudes, and opinions through in-depth interviews or focus groups. Quantitative research relies on surveys and statistical analysis to measure behaviors and opinions that can be generalized to a population. The document provides an overview of different research methods and how to apply them based on the specific marketing problem and objectives.
CGAP and Grameen Foundation AppLab: Customer SegmentationCGAP
This document summarizes the process used to conduct customer segmentation research in Uganda to better understand the financial behaviors and needs of consumers. Key steps included:
1) Conducting a survey of over 2,600 households across Uganda to collect data on demographics, financial service usage, mobile phone usage, and more.
2) Analyzing the data to identify meaningful segments based on financial behaviors like savings habits and borrowing patterns, rather than just demographics, to develop actionable insights.
3) Identifying several priority segments that were both sizable customer groups and receptive to new financial products and channels, including savers with different capacities and motivations as well as different types of borrowers.
20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
Data mining involves discovering patterns and trends in large data sets. It uses techniques from statistics, mathematics, and computer science to find hidden patterns and relationships in the data. Data mining has applications in marketing, finance, manufacturing, and healthcare to gain insights from data. The data mining process involves defining the problem, preparing data, exploring and analyzing the data, building models, validating models, and deploying the best models. Issues in data mining include handling different data types, incorporating background knowledge, and protecting privacy and security. Active areas of research will continue advancing data mining techniques.
Chap 11 understanding marketing processes and consumer behaviorMemoona Qadeer
The document discusses marketing processes and consumer behavior, including defining marketing and the marketing mix of product, price, place, and promotion. It also covers target marketing and market segmentation, marketing research methods, factors that influence consumer behavior, organizational buying behavior, and considerations for international marketing and small business marketing mixes.
The document discusses marketing processes and consumer behavior, including defining the marketing mix of product, price, place, and promotion. It also covers target marketing and market segmentation, marketing research methods, factors that influence consumer behavior, organizational buying behavior, and considerations for the international and small business marketing mixes. The overall focus is on understanding the different elements involved in marketing to consumers and organizations.
This document discusses how analytics can provide competitive advantages for businesses. It explains that analytics involves translating customer, market, and company data into actions through a combination of knowledge, skills, and technology to support faster and better decision making. The document outlines several types of insights that can be gained, such as competitive insights, market insights, and business insights. It then provides examples of initial analytics projects that can be undertaken, including sales forecasting, price analysis, brand and reputation tracking, and gathering customer insights. Finally, it describes the services that AnalitiQs provides to help organizations successfully introduce and improve their analytics capabilities.
This document discusses using insights to drive business ideas. It provides examples of insights and explains that insights go deeper than just observations or data. Insights should induce meaning and further understanding. The document also discusses using hybrid research techniques, like combining qualitative and quantitative methods, to develop a holistic understanding of the market. It provides examples of segmentation approaches that can align with retailers or brands to better target shopper segments.
Meyers Research Center is a leading retail research organization that conducts in-store intercept surveys of convenience store shoppers to understand their behaviors, attitudes, and purchasing decisions. For over 30 years, MRC has surveyed over 2,000 shoppers per wave across the US and Canada on topics like category selection, brand preferences, and factors influencing purchases. The ninth wave of the Convenience Store Close-Up study will take place in 2012, with sponsorship opportunities available to commission customized analyses for a fee.
The document discusses how integrating different types of marketing data can provide a more holistic view of the impact of marketing initiatives. It describes how a company analyzed data from brand surveys, scanner data of retail sales, and consumer panel data all together. This allowed them to see that while brand surveys showed steady brand performance, retail sales and consumer behavior data revealed that frequent price promotions were training customers to only buy the brand when it was on sale and were devaluing the brand over time. Integrating these multiple data sources provided useful insights about how marketing activities were truly affecting customer attitudes and purchase behavior.
Meyers Research Center provides advanced analytics expertise and sensory research services to evaluate existing products, test new product ideas, and gauge consumer responses. They use a variety of quantitative and qualitative research methods including sensory testing, surveys, focus groups, and observational studies. Their goal is to provide strategic insights and recommendations to help clients make better business decisions.
nfinite Insight is a strategic market research and insight agency operating across the African continent.
We are a team of experienced market research professionals, who have worked with blue chip clients across Sub-Saharan Africa, Europe and America.
Our collective personal experience of working in these diverse markets informs our sensitivity to the peculiarities and cultural differences of individual markets.
We adapt and fine-tune research tools and techniques to give you infinite insight...
Understanding market research and the benefits it provides to marketing decisions. When to use quantitative, qualitative, primary and secondary techniques is vital to marketing strategy.
This 3 sentence summary provides the key details about the document:
The document outlines a market research proposal for Nike to assess consumer awareness, preferences, and purchase interest for their Dri-FIT range of products across Asia Pacific markets, with the goal of determining whether to change, reinvigorate, or phase out the line. A mixed methodology is proposed including store audits, focus groups, and exit interviews to understand brand perceptions and barriers to purchase from both quantitative and qualitative perspectives. The research is designed to be conducted over 10 weeks across Hong Kong, Shanghai, and Sydney with samples of 300 consumers and store visits.
1. The document discusses various aspects of consumer behavior including the buying process, perceived risk, influence of family life cycle, new urban families, industrial consumer behavior, and differences between individual and industrial consumer behavior.
2. Key aspects of marketing research are covered such as the research process, design, analysis methods, and preparing the marketing research report. Different types of marketing research are also discussed including new product launch research, advertising research, customer satisfaction research, and competitor analysis research.
3. Distribution and retail store image research methods are summarized as well as how to understand results, draw conclusions and communicate findings in a marketing research report. The document provides an overview of important consumer behavior and marketing research concepts.
This document provides an overview of various research designs and data collection methods in marketing research. It discusses exploratory and descriptive research designs, and explains the differences between exploratory and conclusive research. It also distinguishes between primary and secondary data, describing how to evaluate secondary data sources. Finally, it outlines several survey methods like telephone, personal, mail, and electronic surveys, and discusses observation methods.
Introduction to Marketing - Session 2 at ITM, Mumbai. Includes:
Targeting
What is good marketing research?
Marketing research Questions
Types of information
Types of market research
Market research summary
Test Market
Define Target Audience
Estimate market potential
Analyze market share/share of customer
Track competitors
Identify market characteristics & trends
Analyze sales data
Sales forecasting: Existing / new products
Product
• Product Strategy
• Product Essentials
• Features and Benefits
• Classifying products
• Product line and mix
• Branding
• Packaging and LabellingTrademarks
Positioning and Brand Building
• The Art of Positioning is Marketing
• Positioning the game of Mind and Heart
• Brand is a Promise
• Brand is owned by Customers
• Understanding Brand Drivers
• Brand Attributes
• Brand Architecture
• The Positioning Template
This document discusses data mining in marketing. It begins with defining data mining and explaining why it is important for predicting trends and analyzing customer behavior. The purpose of data mining in marketing is to better understand customers to target campaigns accurately. Key techniques discussed include market basket analysis, social media marketing, and knowledge-based marketing. Common data mining tools for marketing include RapidMiner, WEKA, and Python libraries. In conclusion, data mining can help businesses increase profits, reduce costs, and analyze customer purchase patterns.
Understanding and winning your customers in the big data era ( retail industry)Kim Ming Teh
Section 1: Understand & winning your customer in big data era
1) The age of customer & Key trends in retail
2) Big data analytic and use case
Section 2: Interactive Case study
Offline vs Online Retail & Omni-Channel Future
The document discusses qualitative and quantitative consumer research methods. Quantitative research uses experimental and survey techniques to descriptively and empirically measure consumer behavior. Qualitative research uses depth interviews, focus groups, and projective techniques administered by trained interviewers to subjectively understand consumption practices. Positivism aims to predict behavior through quantitative methods, while interpretivism seeks to understand experiences through qualitative research. The consumer research process involves defining objectives, collecting secondary and primary data, designing qualitative and quantitative studies, analyzing results, and reporting findings.
The document discusses marketing research techniques. It covers general principles of marketing research including qualitative and quantitative research. Qualitative research methods are used for exploratory studies to understand behaviors, attitudes, and opinions through in-depth interviews or focus groups. Quantitative research relies on surveys and statistical analysis to measure behaviors and opinions that can be generalized to a population. The document provides an overview of different research methods and how to apply them based on the specific marketing problem and objectives.
CGAP and Grameen Foundation AppLab: Customer SegmentationCGAP
This document summarizes the process used to conduct customer segmentation research in Uganda to better understand the financial behaviors and needs of consumers. Key steps included:
1) Conducting a survey of over 2,600 households across Uganda to collect data on demographics, financial service usage, mobile phone usage, and more.
2) Analyzing the data to identify meaningful segments based on financial behaviors like savings habits and borrowing patterns, rather than just demographics, to develop actionable insights.
3) Identifying several priority segments that were both sizable customer groups and receptive to new financial products and channels, including savers with different capacities and motivations as well as different types of borrowers.
20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
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).
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
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:
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
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.
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.
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.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Building RAG with self-deployed Milvus vector database and Snowpark Container...Zilliz
This talk will give hands-on advice on building RAG applications with an open-source Milvus database deployed as a docker container. We will also introduce the integration of Milvus with Snowpark Container Services.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
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.
1. ■ Shopper Immersion Research - designed to provide highly- Visual and Emotional Technology (Eye Tracking)
detailed explorations of why and how consumers think and
behave. Our researchers become immersed in the subject’s Cost-Effective Method to Screen Packaging, Shelf Sets,
lives by meeting in their homes (pre-purchase), in the store
(during purchase) and after a shopping experience (post
POS and Advertisements
Conducting Research At Retail:
purchase). These studies help to reveal fundamental ■
■
Optimize Design
Optimize Message
There’s No Denial In The Aisle
changes in consumer attitudes, elicit emotional
perceptions to get to the “moment of truth” and provides all- ■ Optimize Graphic Appeal
pervading insights into how consumers’ thoughts and feelings ■ Optimize Emotional Engagement
sway behavior.
■ Evaluation of Plan-O-Gram Alternatives/New Shelf Sets/ New Standardized Eye Tracking labs in 12 Key US Markets Meyers Research Center
Merchandising Scenarios
■ Labs employ identified best practices in emotion and
Shopper
■ Buyers Conversations Research- to understand why neuroscience research and technological innovation to
shoppers are not buying selected categories in specific stores. optimize research
■ Eye Tracking Labs operate with global market leading eye
■ Integrated Research- combining sales and consumer survey tracking Hardware and Software
data to provide the who, what and why analysis that retailers ■ Labs utilize validated and efficient methods to enhance
are looking for. traditional research
Specialized State-Of-The -Art Technology
Advanced Mobile Technology (PDA Hand-Held Device)
We use new mobile computing technology and advanced
software for most of our data collection (enabling better
Analysis Platform
■ Eye Tracking- Movement of the eye, Gaze & Fixations to
decode an image
■ Reading Metrics- Gaze & Image recognition to determine
Reading patterns on text
Insight
Business
quality of data and speedier reporting):
■ Emotion Metrics- Pupil Dilation, Blink Rate Saccadic (rapid
■ Dynamic programming---you can have automatic skips, eye movements), plus five other eye behaviors to model
routing, piping, rotation emotions arousal, the unconscious impact of an image
■ Nightly Transmission---better field management and
oversight Other Technology
■ Para Data Collection---quality control and validation
Unit
■ Barcode Scanning--- for accuracy Video (to enhance shopper insights)
Online (for follow up or stand-alone studies)
Advanced Mobile Technology (Smart Phone) Virtual Shopping (simulate the in-store experience)
We use smart phones to engage consumers in a whole new
way, not only for traditional information gathering, but also ‘on Meyer Research Center
the-go’ and ‘in the moment’ research that meets the unmet 58 West 40th Street
needs of almost every researcher and every industry. New York, NY 10018 Exploring Research Industry
■ Eliminate recall Trends and State-Of-The-Art
212.391.0166 Ext. 112
■ Gather information at point of: decision/experience/ www.meyersresearch.wordpress.com In-store Interviewing Techniques
consumption www.meyersresearch.com
■ Enrich the data: associate information with photos and GPS Find us on Facebook and Follow us on
LinkedIn & Twitter @MRCInStore
■ Understand consumers over time (diaries or ethnographies)
■ Recognize that engaging with people in the way they want to
be engaged is a means to getting closer to their behaviors,
attitudes-mobile is the place of choice for many Americans.
2. Consumers Do Not Shop In A Focus Group, Shelf Plan-O-Gram And Shop-Ability Issues We offer proprietary Syndicated Research which provides
So Where Do Manufacturers Find Real World a wealth of channel specific shopper insights at the
Information For their Brands? As retailers look for the best in their stores and SKU fraction of the cost of a custom study. The 2010
rationalization becomes a major issue in many categories, Convenience Store Shopper Close-Up Study is currently
When it comes to research “retail issues”, manufactures understanding consumer perceptions toward a chain’s available. Later this year, we will be fielding wave
are quickly learning that one place consumers do not current shelf plan-o-gram (or a manufactures’s new five of the Dollar Store Shopper Close-Up Study, as well
shop is in focus groups. In fact, brand marketers have proposed plan-o-gram) is of paramount importance. as the inaugural wave of the Warehouse Club Shopper
recognized that some of the more standard methodologies Close-Up Study.
utilized by researchers, such as diary panels and These day’s, manufactures are providing their retail partners
telephone or mall interviewing, do not accurately with the key insight necessary for a “win win” evaluation Other Syndicated Products:
represent how consumers interact with the retail of shelving alternatives by combining controlled store Drug Store Shopper Close-Up
environment. test (Did we increase category and brand sales?) with Cross Channel Shopper Close-Up
in-store consumer interviewing programs (To what degree
That is why, consumer in-store intercept interviewing has do category shoppers approve of the changes that have Evaluate Account-Specific Merchandising Strategies
become the research methodology recognized as the been made?).
standard for addressing questions associated with a How do retailers stand out in the crowded competitive
variety of retail situations. What better way to understand Test New Packaging, Products, or Promotions market?
consumer purchase decisions and shopper attitudes than
in a “real world” setting. Retail chain buyers are faced with a plethora of marketing New merchandising strategies such as aisle architecture,
and product alternatives from manufactures on a daily basis. store-within-a-store formats and interactive displays are
MRC Purchase Observation Studies™ are designed to Many progressive manufactures understand that fact-based being created to enhance the overall image of chains.
intercept consumers “in the act” immediately following quantitative research can provide an edge that allows the
the moment of product selection. This in-aisle intercept manufacturers new product or merchandising strategy to Evaluate Retail Concepts In A Real-Life Environment
methodology will allow you to delve into consumer stand out in a competitive arena.
behaviors while the purchase decision is still fresh in the A recent MRC client was faced with a variety of options for
shopper’s mind and at the same time bypass many of the Evaluate New Products Quickly a new product concept and needed to pinpoint the best
problems associated with other research methodologies. offering. Interviewing consumers at the point-of-sale,
A major brand manufacturer was recently faced with a tough immediately following a category purchase, would provide
How Can Manufacturers Successfully Utilize decision about the packaging of a new product. Two options the most accurate scenario for capturing “real-life” attitudes.
MRC’s In-Store Interviewing Methodology? were being considered and the company wanted a “real-life”
in-store measure of which was the best, prior to making a Today more than ever, with category management, trade
Category Management major monetary commitment to a new packaging facility. marketing and account specific initiatives, manufacturers
Unfortunately, the need for an immediate decision did not and retailers are working together more closely to take
Whether you are looking to supply account-specific or leave enough time for a classic test market. responsibility for all aspects of a product category including
channel-general information, understanding consumer pricing, promotion, shelf management and product
purchase decision behavior is a critical area of today’s Meyers Research Center contacted an appropriate retail assortment.
manufacturer-retailer relationship. account, within two weeks was able to stock each product
alternative in a matched panel of stores and interviewing Knowledge From Research To Improve Your Business
Consumer in-store intercept interviewing programs are buyers at the point-of-sale on a wide variety of packaging
being conducted as part of category management initiatives attributes. Meyers Research Center provides Shopper Insight for
to understand impulse versus planned purchasing, brand planning, shelf strategy, new product development
switching behavior and purchase decision Syndicated Research Services and retail account penetration. Our areas of expertise
hierarchies (decision-trees) and how they may differ by include:
class-of-trade or by individual retail account. Manufactures of new products and promotions are often
This methodology provides the answers by integrating faced with the issue of understanding their “source of ■ Purchaser Decision Behavior Research- incorporating
observed behaviors, consumer responses and elements business”. Syndicated is a cost-effective research in-store observations and interviews to understand shopper
of the store environments to provide “real world” consumer alternative, designed to collect large amounts of primary behavior and how shoppers think at the point of purchase.
insights. information on a shared cost basis.
■ Consumer Decision Tree Research- a proprietary product
segment methodology based on shopper needs which
provide insights into developing more effective marketing
and merchandising strategies.