The document discusses Analysis of Competing Hypotheses (ACH) and its use in analyzing different hypotheses about whether streamlining the iOS app checkout flow to match the Android app would improve conversion rates. It outlines the ACH process of brainstorming hypotheses, collecting relevant evidence, and analyzing the evidence in a matrix to evaluate which hypotheses are best supported. Four hypotheses are considered - that changing the checkout would reduce conversion rates due to unfamiliarity, immediately increase rates by removing friction, initially decline but later improve, or have no impact. Evidence is analyzed in a matrix to determine its impact on evaluating each hypothesis.
This document discusses the pros and cons of choosing Apple products over other electronics. It outlines several topics in favor of Apple, such as their operating system iOS, application store, physical design advantages from drop tests, and phone security features. However, it also notes some potential reasons against Apple, like limitations for business use, high replacement part costs, and weaker gaming performance. Overall, the document suggests weighing these factors to determine the best fit based on individual needs and preferences.
With Fashion Week to inspire us, this webinar focuses on sharing a few favorite digital trends for 2018. Instead of discussing denim separates and art-inspired prints, our team explores hot digital to keep an eye on. The webinar focuses on emerging technologies, exciting design trends and standout digital strategies to adopt in the new year.
Associate Creative Director Jessica DeJong and Chief Strategist Kalev Peekna dive into concepts that could disrupt how we think about digital experiences, as well as trends to easily fold into your 2018 marketing strategy.
Access the full recording: https://youtu.be/N_4XAsXDoYI
How do you test ideas?
Sounds like a hard question... What does it even mean?
To test ideas, you need to break out of a traditional mindset of thinking that testing purely relates to the boundaries of making sure that software meets the expectations of how it is supposed to work. We need to think more about the unknowns... The unexpected things relating to software. Only then can we transpire those ideas of unknowns to our initial thinking about the software solution before we even attempt to write a line of code or an artefact to try and describe the expectations.
All software starts with an idea - an idea for a solution to a problem, or an idea to make money, or an idea to delight people. Testing the idea of the software solution is a hugely important part of continuous testing.
This testing, at the earliest point in time within the SDLC, actually helps prevent problems and bugs. It helps uncover unknowns. Unknowns related to risks and unknowns that cause assumptions and ambiguities within the design and development of the software. And this testing requires a whole host of psychology and sociology skills.
In this talk, Dan will share his ideas, experiences, success stories and pain points, strategies, tips & tricks and more, regarding why and how to test your ideas.
Creating a culture that provokes failure and boosts improvementBen Dressler
Everyone fails - but not everyone uses failed attempts as a source of learning and improvement. This talk outlines a framework to turn failure into gaining knowledge by understanding IF, HOW and WHY something fails.
These days almost anyone can create a wireframe. So what does it take to go beyond boxes and arrows and produce work to be proud of?
In this recent talk given at UX Crunch, London I share insights into areas I encourage my team to explore to help them produce even more fantastic work.
Creating a great user experience on mobile is both an art and a science. And adding in a beautiful user interface -- that takes real skill. Here are a few tips on designing for mobile from the design pros at HQ. Check us out at http://BuiltbyHQ.com.
CRO and SEO together: what happens when what's good for users isn't good for ...Will Critchlow
My CXL Live (#CXLLive) 2019 presentation looking at full funnel testing that combines SEO A/B testing with CRO split testing to help us all work together better.
This document discusses differences between developers and designers. It notes that the session will discuss design and that the speaker will discuss guidelines for making good interfaces, even for those without design experience. Examples of Microsoft design principles are provided, such as prioritizing content and making things intuitive for users.
This document discusses the pros and cons of choosing Apple products over other electronics. It outlines several topics in favor of Apple, such as their operating system iOS, application store, physical design advantages from drop tests, and phone security features. However, it also notes some potential reasons against Apple, like limitations for business use, high replacement part costs, and weaker gaming performance. Overall, the document suggests weighing these factors to determine the best fit based on individual needs and preferences.
With Fashion Week to inspire us, this webinar focuses on sharing a few favorite digital trends for 2018. Instead of discussing denim separates and art-inspired prints, our team explores hot digital to keep an eye on. The webinar focuses on emerging technologies, exciting design trends and standout digital strategies to adopt in the new year.
Associate Creative Director Jessica DeJong and Chief Strategist Kalev Peekna dive into concepts that could disrupt how we think about digital experiences, as well as trends to easily fold into your 2018 marketing strategy.
Access the full recording: https://youtu.be/N_4XAsXDoYI
How do you test ideas?
Sounds like a hard question... What does it even mean?
To test ideas, you need to break out of a traditional mindset of thinking that testing purely relates to the boundaries of making sure that software meets the expectations of how it is supposed to work. We need to think more about the unknowns... The unexpected things relating to software. Only then can we transpire those ideas of unknowns to our initial thinking about the software solution before we even attempt to write a line of code or an artefact to try and describe the expectations.
All software starts with an idea - an idea for a solution to a problem, or an idea to make money, or an idea to delight people. Testing the idea of the software solution is a hugely important part of continuous testing.
This testing, at the earliest point in time within the SDLC, actually helps prevent problems and bugs. It helps uncover unknowns. Unknowns related to risks and unknowns that cause assumptions and ambiguities within the design and development of the software. And this testing requires a whole host of psychology and sociology skills.
In this talk, Dan will share his ideas, experiences, success stories and pain points, strategies, tips & tricks and more, regarding why and how to test your ideas.
Creating a culture that provokes failure and boosts improvementBen Dressler
Everyone fails - but not everyone uses failed attempts as a source of learning and improvement. This talk outlines a framework to turn failure into gaining knowledge by understanding IF, HOW and WHY something fails.
These days almost anyone can create a wireframe. So what does it take to go beyond boxes and arrows and produce work to be proud of?
In this recent talk given at UX Crunch, London I share insights into areas I encourage my team to explore to help them produce even more fantastic work.
Creating a great user experience on mobile is both an art and a science. And adding in a beautiful user interface -- that takes real skill. Here are a few tips on designing for mobile from the design pros at HQ. Check us out at http://BuiltbyHQ.com.
CRO and SEO together: what happens when what's good for users isn't good for ...Will Critchlow
My CXL Live (#CXLLive) 2019 presentation looking at full funnel testing that combines SEO A/B testing with CRO split testing to help us all work together better.
This document discusses differences between developers and designers. It notes that the session will discuss design and that the speaker will discuss guidelines for making good interfaces, even for those without design experience. Examples of Microsoft design principles are provided, such as prioritizing content and making things intuitive for users.
USABILITY DESIGN OF SOFTWARE APPLICATION SrilekhaK12
The document discusses various topics related to usability design of software applications and websites, including:
- The formation of the World Wide Web by Tim Berners-Lee in 1989 to enable information sharing between scientists.
- Key components of the web including URLs, HTTP, and HTML.
- Tips for web design such as using images for navigation, minimizing scrolling, and structuring content hierarchically.
- Different ways of acquiring knowledge like tenacity, intuition, authority, rationalism, empiricism, and the scientific method.
- The difference between correlation and causation, and examples of confusing the two in data.
- The goal of user interface evaluations and techniques like usability
This document provides tips for designing effective survey questions and strategies for distributing surveys. It discusses keeping surveys short, starting broad and getting more specific, only asking necessary questions, avoiding hypothetical questions, and testing surveys internally. It also offers ways to get surveys in front of people like email, in-app opt-ins, and pop-ups. Finally, it discusses segmenting survey results by platform, time of response, and cross-referencing with analytics data.
This document discusses IT trends and the evolution of software delivery models. It covers the shift from on-premise enterprise applications to cloud-based Software as a Service (SaaS) models, as well as the rise of social, mobile, and app store technologies driving IT 3.0. The document also discusses how these trends have increased expectations around user experience and emphasize design thinking approaches. Finally, it provides an overview of various venture design methodologies like lean startup, customer development, agile development, and how they can be applied through frameworks like personas, stories, assumptions testing, and the business model canvas.
App Store Optimization - SMX Munich - Emily GrossmanMobileMoxie
This document discusses app store optimization strategies for ranking highly in app store search results. It recommends optimizing app metadata like titles, categories, and keywords to include important search terms. It also recommends strategies to improve app performance metrics like download volume and velocity, star ratings, and review count which account for 65% of an app's ranking. Additionally, it notes the importance of frequent app updates to maintain freshness. The document suggests these optimization strategies will become even more important as app search evolves to work more like web search with apps indexed and deep linked on platforms like Google.
Fast deterministic screenshot tests for AndroidArnold Noronha
This is the slides from my presentation at Droidcon NYC 2015. We talk about the library we're open sourcing, and how you can use it to both iterate fast on UI code, and catch regressions in continuous integration.
The document exposes three myths about placemaking:
1. Design is not the only factor - creating a memorable experience through unconventional design can turn a space into a place.
2. Extensive planning is not necessary - placemaking is an iterative process where small improvements can organically transform an area over time.
3. Community consultation is not essential first - taking action and later adjusting the vision based on community feedback can be more effective than lengthy upfront consultation.
AWS Mobile Hub allows developers to focus on building mobile apps instead of managing backend infrastructure. It provides integrated mobile services for user authentication, data storage, analytics, push notifications, and backend logic. Developers can collect app usage data, analyze metrics and events, predict user behavior, and build predictive applications to improve the user experience. AWS Mobile Hub handles the complexities of connecting various AWS services so developers can quickly develop, test, and engage users for their mobile apps.
1. APIs are driving changes in software development by serving as reusable code libraries that developers integrate instead of downloading.
2. However, API-driven development can lead to suffering due to dependencies and breakages as APIs are imperfect and change over time.
3. Developers can reduce suffering by avoiding tight coupling, planning for failure and change, and using tools to monitor APIs and gracefully handle errors.
4. The path to reducing suffering is to follow principles of non-attachment to dependencies as well as wisdom, good behavior and focus, as in the Buddhist eightfold path.
Data Con LA 2022 - How bridging data with design influences today's data prod...Data Con LA
Alison Bunce, Product Designer, Meta
Tech companies are making data products to empower us to work, explore, enjoy and create beyond what we can do now. With new Machine Learning based products paves new ways to capture, understand and communicate data. This drives us to question the tech product landscape. Namely, how these major tech companies have used the practices/capabilities from data science and usability mythologies from experience design to bring value to its users. Last year I spoke about how data and design can learn from each other, and this year, we'll reference today's real world examples to discuss how bridging data science with experience design influences data products.
How companies are using design and data to introduce new products?
How are methodologies in data science and experience design aiding in data product challenges?
How might data collection shape product innovation? How might this affect privacy and security?
Could evolving data products influence our behavior?
Voxxed Athens 2018 - UX design and back-ends: When the back-end meets the userVoxxed Athens
The document discusses struggles with data when users and user interfaces are involved. It notes that development teams often allow the physical data model to dictate what the user interface can do, rather than engaging with users and UX designers from the start. It proposes that data modeling should be done together with UX designers based on user journeys, which would lead to data models that better support user interfaces and mental models.
Make apps more awesome! - CocoaConf Atlanta '14Chris Beauchamp
What are some things to consider when building my app? How can I increase the number of downloads and happy users? Why are ratings so important? This talk at CocoaConf Atlanta '14 will discuss some techniques and tools I have used over the years to improve downloads, ratings and rank in the app stores.
This document provides tips and strategies for getting big links through outreach campaigns. It discusses executing campaigns like 1950s ad executives by coming up with many ideas, even "shit" ideas, to find great ones. Examples are given of successful campaigns that generated hundreds of links and tens of thousands of views. Data shows campaigns increased site visibility and organic search rankings. Effective outreach focuses on connecting with people through creative ideas rather than the number of emails sent. The key to outreach is perseverance and bringing your authentic self.
This is a presentation I gave at Hadoop Summit San Jose 2014, on doing fuzzy matching at large scale using combinations of Hadoop & Solr-based techniques.
This presentation is about an informational architecture in UX. Presented in Chapps Space, Lviv UX & Product Design Conference, Rails Reactor Design Tonight
UCD / IxD Introduction - User centric design, interaction designsdavis6b
This document provides an introduction to user-centric design (UCD) and interaction design (IxD) principles for building software. It discusses how UCD tools like personas, goals, and interaction loops can help design coherent experiences and increase agility, sanity and quality. While earlier software was system-centric, the focus is now on designing intuitive experiences through iterative collaboration using UCD and pairing it with Agile development methods.
The document discusses machine learning and data science concepts. It covers how data scientists extract insights from large amounts of raw data by first cleaning and transforming the data to create useful features, then using machine learning techniques to build models and generate insights. Specifically, it notes that data scientists spend around 50% of their time preparing raw data, and that handcrafting good features is an important but time-consuming part of applying machine learning. Deep learning is presented as a technique that can learn features directly from raw data without manual feature engineering.
This document discusses reinforcement learning and its applications to optimization problems in marketing. It begins with definitions of reinforcement learning and multi-armed bandit problems. It then discusses how Bayesian AB testing, multi-armed bandits, and Thompson sampling can be used to solve single decision problems. The document also covers how reinforcement learning handles more complex multi-touchpoint optimization and attribution problems using techniques like Q-learning. It concludes by discussing how reinforcement learning approaches can be used for automation and predictive targeting based on user attributes.
USABILITY DESIGN OF SOFTWARE APPLICATION SrilekhaK12
The document discusses various topics related to usability design of software applications and websites, including:
- The formation of the World Wide Web by Tim Berners-Lee in 1989 to enable information sharing between scientists.
- Key components of the web including URLs, HTTP, and HTML.
- Tips for web design such as using images for navigation, minimizing scrolling, and structuring content hierarchically.
- Different ways of acquiring knowledge like tenacity, intuition, authority, rationalism, empiricism, and the scientific method.
- The difference between correlation and causation, and examples of confusing the two in data.
- The goal of user interface evaluations and techniques like usability
This document provides tips for designing effective survey questions and strategies for distributing surveys. It discusses keeping surveys short, starting broad and getting more specific, only asking necessary questions, avoiding hypothetical questions, and testing surveys internally. It also offers ways to get surveys in front of people like email, in-app opt-ins, and pop-ups. Finally, it discusses segmenting survey results by platform, time of response, and cross-referencing with analytics data.
This document discusses IT trends and the evolution of software delivery models. It covers the shift from on-premise enterprise applications to cloud-based Software as a Service (SaaS) models, as well as the rise of social, mobile, and app store technologies driving IT 3.0. The document also discusses how these trends have increased expectations around user experience and emphasize design thinking approaches. Finally, it provides an overview of various venture design methodologies like lean startup, customer development, agile development, and how they can be applied through frameworks like personas, stories, assumptions testing, and the business model canvas.
App Store Optimization - SMX Munich - Emily GrossmanMobileMoxie
This document discusses app store optimization strategies for ranking highly in app store search results. It recommends optimizing app metadata like titles, categories, and keywords to include important search terms. It also recommends strategies to improve app performance metrics like download volume and velocity, star ratings, and review count which account for 65% of an app's ranking. Additionally, it notes the importance of frequent app updates to maintain freshness. The document suggests these optimization strategies will become even more important as app search evolves to work more like web search with apps indexed and deep linked on platforms like Google.
Fast deterministic screenshot tests for AndroidArnold Noronha
This is the slides from my presentation at Droidcon NYC 2015. We talk about the library we're open sourcing, and how you can use it to both iterate fast on UI code, and catch regressions in continuous integration.
The document exposes three myths about placemaking:
1. Design is not the only factor - creating a memorable experience through unconventional design can turn a space into a place.
2. Extensive planning is not necessary - placemaking is an iterative process where small improvements can organically transform an area over time.
3. Community consultation is not essential first - taking action and later adjusting the vision based on community feedback can be more effective than lengthy upfront consultation.
AWS Mobile Hub allows developers to focus on building mobile apps instead of managing backend infrastructure. It provides integrated mobile services for user authentication, data storage, analytics, push notifications, and backend logic. Developers can collect app usage data, analyze metrics and events, predict user behavior, and build predictive applications to improve the user experience. AWS Mobile Hub handles the complexities of connecting various AWS services so developers can quickly develop, test, and engage users for their mobile apps.
1. APIs are driving changes in software development by serving as reusable code libraries that developers integrate instead of downloading.
2. However, API-driven development can lead to suffering due to dependencies and breakages as APIs are imperfect and change over time.
3. Developers can reduce suffering by avoiding tight coupling, planning for failure and change, and using tools to monitor APIs and gracefully handle errors.
4. The path to reducing suffering is to follow principles of non-attachment to dependencies as well as wisdom, good behavior and focus, as in the Buddhist eightfold path.
Data Con LA 2022 - How bridging data with design influences today's data prod...Data Con LA
Alison Bunce, Product Designer, Meta
Tech companies are making data products to empower us to work, explore, enjoy and create beyond what we can do now. With new Machine Learning based products paves new ways to capture, understand and communicate data. This drives us to question the tech product landscape. Namely, how these major tech companies have used the practices/capabilities from data science and usability mythologies from experience design to bring value to its users. Last year I spoke about how data and design can learn from each other, and this year, we'll reference today's real world examples to discuss how bridging data science with experience design influences data products.
How companies are using design and data to introduce new products?
How are methodologies in data science and experience design aiding in data product challenges?
How might data collection shape product innovation? How might this affect privacy and security?
Could evolving data products influence our behavior?
Voxxed Athens 2018 - UX design and back-ends: When the back-end meets the userVoxxed Athens
The document discusses struggles with data when users and user interfaces are involved. It notes that development teams often allow the physical data model to dictate what the user interface can do, rather than engaging with users and UX designers from the start. It proposes that data modeling should be done together with UX designers based on user journeys, which would lead to data models that better support user interfaces and mental models.
Make apps more awesome! - CocoaConf Atlanta '14Chris Beauchamp
What are some things to consider when building my app? How can I increase the number of downloads and happy users? Why are ratings so important? This talk at CocoaConf Atlanta '14 will discuss some techniques and tools I have used over the years to improve downloads, ratings and rank in the app stores.
This document provides tips and strategies for getting big links through outreach campaigns. It discusses executing campaigns like 1950s ad executives by coming up with many ideas, even "shit" ideas, to find great ones. Examples are given of successful campaigns that generated hundreds of links and tens of thousands of views. Data shows campaigns increased site visibility and organic search rankings. Effective outreach focuses on connecting with people through creative ideas rather than the number of emails sent. The key to outreach is perseverance and bringing your authentic self.
This is a presentation I gave at Hadoop Summit San Jose 2014, on doing fuzzy matching at large scale using combinations of Hadoop & Solr-based techniques.
This presentation is about an informational architecture in UX. Presented in Chapps Space, Lviv UX & Product Design Conference, Rails Reactor Design Tonight
UCD / IxD Introduction - User centric design, interaction designsdavis6b
This document provides an introduction to user-centric design (UCD) and interaction design (IxD) principles for building software. It discusses how UCD tools like personas, goals, and interaction loops can help design coherent experiences and increase agility, sanity and quality. While earlier software was system-centric, the focus is now on designing intuitive experiences through iterative collaboration using UCD and pairing it with Agile development methods.
The document discusses machine learning and data science concepts. It covers how data scientists extract insights from large amounts of raw data by first cleaning and transforming the data to create useful features, then using machine learning techniques to build models and generate insights. Specifically, it notes that data scientists spend around 50% of their time preparing raw data, and that handcrafting good features is an important but time-consuming part of applying machine learning. Deep learning is presented as a technique that can learn features directly from raw data without manual feature engineering.
This document discusses reinforcement learning and its applications to optimization problems in marketing. It begins with definitions of reinforcement learning and multi-armed bandit problems. It then discusses how Bayesian AB testing, multi-armed bandits, and Thompson sampling can be used to solve single decision problems. The document also covers how reinforcement learning handles more complex multi-touchpoint optimization and attribution problems using techniques like Q-learning. It concludes by discussing how reinforcement learning approaches can be used for automation and predictive targeting based on user attributes.
Adam Greco has over a decade of experience in web analytics. When he started, Webtrends dominated the market and Google Analytics did not exist. Mobile phones were not smart and social networks were just emerging. Over time, the analytics industry has changed dramatically but some challenges have remained the same. Greco emphasizes the importance of visualizing data, complementing analytics with qualitative feedback, integrating analytics into processes early, and relating analytics to business objectives and outcomes.
Christi Olson discusses how artificial intelligence is amplifying marketing ingenuity. AI allows marketers to reason over large data sets, understand customers through natural inputs like text and images, and interact with customers in new ways through conversational commerce and intelligent bots. By 2020, customers will manage 85% of their relationships with enterprises without interacting with humans, according to Gartner.
The MMA and its MATT initiative have been working for over 2 years to better understand multi-touch attribution (MTA) and how to help marketers improve measurement and attribution of marketing campaigns. MATT conducted several studies measuring real campaigns and found that optimizing campaigns by including mobile often increased key metrics like sales by over 10%. MATT also found that targeting and personalizing mobile campaigns could further increase metrics by hundreds of percent. However, MTA is complex with many possible format, data, and targeting combinations to test. MATT aims to provide guidance to help marketers choose the right MTA providers and solutions.
This document discusses the use of machine learning for predicting customer lifetime value (CLV). It argues that while machine learning is well-suited for classification and descriptive tasks, it falls short for long-term CLV prediction because it tries to explain all customer behavior patterns. Instead, CLV models should embrace the inherent randomness in customer actions. The document then presents the standard new view of using CLV models to make forecasts, and then applying machine learning to explain differences across customers based on those predictions. It provides examples of layering machine learning on top of CLV models for B2C and B2B customers.
This document provides an overview of topics from an eMetrics Summit presentation on making yourself indispensable to your search marketing team. It discusses viewability and campaign types in display advertising, targeting and ad types in social media, redirects and URLs in SEO, and match types, cannibalization, and complementarity in paid search. It also describes the presenter's company's approach to training through a generalist model and emphasizing emotional intelligence.
Mary Owusu is the Director of Analytics at Eric Mower + Associates. She leads the analytics discipline and SEO team. She discusses the lack of diversity and inclusion in corporate America, with women representing 52% of the population but holding only a small percentage of leadership roles. Data shows women fall behind early in their careers and continue to lose ground. While over 40% of math degrees are earned by women, they remain underrepresented in technology fields and face pay gaps. Both genders benefit from diversity, but changing perceptions requires empowering ourselves through networking and avoiding language that diminishes our power, as well as actively participating in discussions about gender inequalities.
This document discusses the Women in Analytics (WiA) community within the Digital Analytics Association. WiA aims to support gender equality in analytics through education, advocacy, and influencing issues facing women. It provides community through online and in-person events. New thought leader conversations are announced. WiA has created a compensation survey and plans a mentor program. It asks for feedback on how to better serve members and invites others to join.
The document discusses using programmatic advertising data and machine learning techniques to better understand audiences and predict consumer behavior. It provides examples of how predictive modeling was used to gain insights about audiences for a watch brand and a non-dairy milk brand entering the US market. Segmentation analysis identified relevant subgroups for the non-dairy milk brand. The document advocates rethinking the use of programmatic data from media execution and optimization to gaining a deeper understanding of audiences through artificial intelligence techniques.
The document discusses the challenges of data and analytics. It argues that the hardest part of analytics is obtaining and organizing data, not the analysis itself. It also suggests that companies get bogged down in data issues and maintaining the status quo, rather than using analytics to gain insights that could improve their businesses.
The document discusses the benefits and challenges of building an in-house data science team at OSF Healthcare. It provides examples of projects the team has worked on, including readmission models, cost and utilization models, staffing simulation, and natural language processing. The benefits of an in-house team include higher performance, lower costs, full transparency and IP ownership. Challenges include internal resistance, implementation risks, and defining rules for model use. The document outlines the team's structure, basic project approach, and strategies for ongoing success, such as project intake processes and focus on foundational elements.
This short document discusses a speaker who is unable to share their presentation. In just a few words, it conveys that a planned presentation will not take place as intended or expected. The brevity leaves many open questions around the circumstances preventing the presentation from being delivered.
This document summarizes a presentation on the state of data science and healthcare analytics. It discusses:
1) The increasing sophistication of analytics in healthcare, from basic reporting to predictive modeling.
2) New opportunities for applying data science and analytics across healthcare stakeholders like payers, providers, life sciences companies, consumers, and employers.
3) The future of data science and analytics, including new data sources, artificial intelligence applications, and "algorithmic medicine" to personalize treatment through aggregating diverse data on individual patients.
Precision medicine usage has tripled over the last 5 years, with 26% of US hospitals having procured a solution and 22% having gone live. General medical hospitals make up the majority of installations currently. Adoption is highest among multi-hospital nonprofit health systems and larger academic/specialty hospitals. Barriers to further growth include difficulties integrating genomic and other patient data into clinical systems and quantifying return on investment. The document examines trends in precision medicine adoption and provides insights on market leaders, barriers to growth, and signals that could indicate further expansion in the coming years.
This short document discusses a speaker who is unable to share their presentation. In just a few words, it conveys that a planned presentation will not take place as scheduled due to an unspecified reason. The brevity leaves many open questions around the circumstances preventing the presentation from being delivered.
This document discusses the challenges and opportunities of healthcare analytics from UPMC's perspective. It notes that healthcare analytics is expensive and difficult due to the complexity of healthcare data and systems. However, UPMC has heavily invested in technology and leverages that investment across its organization. Healthcare analytics aims to gain new insights not previously possible from paper records alone and generate hypotheses without preconceived notions. This can help understand patient sharing patterns, regional population health issues, and how patients move between chronic disease clusters. The document warns that while big data creates new opportunities, it also risks consuming the information it produces if not approached carefully.
Stephen Morse is a consultant and advisor in the areas of FinTech, AI, and alternative data. He has over 20 years of experience in these fields, previously working at firms involved in data and financial technology. He is now the founder of Neudata, a company that leverages alternative data sources like social media to provide insights for financial markets. In his presentation, Morse discusses how analyzing data from Twitter, estimates from crowdsourcing platforms, geotagged social media posts, and other alternative sources can provide alpha and reveal breaking news or events that impact markets. He provides numerous examples of how social media posts and analyses from these sources predicted market movements.
The document discusses various methods for evaluating market timing systems, including the Sharpe ratio, days ahead per year (DAPY), and Modigliani ratio. It notes that while market timing seems appealing, it is very difficult to achieve in practice due to challenges in distinguishing skill from luck, the efficiency of markets, and the psychological impact of losses from failed bets. Blackjack is provided as an analogy for how market timing could work if an investor was able to identify pockets of inefficiency, but that it is difficult to recreate historical market conditions accurately.
- The document discusses using customer journey analytics to better understand the customer experience. It recommends creating a customer journey map, validating it with metrics and analytics, and getting customer feedback. Predictive analytics can be used to find causes of behaviors and key message points. Tracking business metrics alongside the customer perspective is also important. Overall, linking the customer journey to analytics provides strategic and tactical benefits for businesses.
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
State of Artificial intelligence Report 2023kuntobimo2016
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...Social Samosa
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
24. When we speak of improving the mind we
are usually referring to the acquisition of
information or knowledge….not to the actual
functioning of the mind. We spend little
time monitoring our own thinking and
comparing it with a more sophisticated ideal.
James L. Adams, Conceptual Blockbusting: A Guide to Better Ideas (New
York: W.W. Norton, second edition, 1980), p. 3.
41. Analysts should be self-conscious about
their reasoning processes. They should
think about how they make judgments
and reach conclusions, not just about the
judgments and conclusions themselves.
- Richard Heuer, The Psychology of Intelligence Analysis
53. ...the term hypothesis [is used] in
its broadest sense as a potential
explanation or conclusion that is
to be tested by collecting and
presenting evidence
Richard Heuer, Psychology of Intelligence Analysis, pg.32
61. Hypotheses
1. Changing the UX will reduce CR as iOS users will be
unfamiliar with the new checkout
2. Changing the UX will immediately increase CR on the iOS
app as it will remove friction points (the design is more
streamlined)
62. Hypotheses
1. Changing the UX will reduce CR as iOS users will be
unfamiliar with the new checkout
2. Changing the UX will immediately increase CR on the iOS
app as it will remove friction points (the design is more
streamlined)
3. Initially the CR will decline, as users will be unfamiliar with
the new checkout, but once accustomed to the new UX, the CR
will improve due to reduced friction points
63. Hypotheses
1. Changing the UX will reduce CR as iOS users will be
unfamiliar with the new checkout
2. Changing the UX will immediately increase CR on the iOS
app as it will remove friction points (the design is more
streamlined)
3. Initially the CR will decline, as users will be unfamiliar with
the new checkout, but once accustomed to the new UX, the CR
will improve due to reduced friction points
4. Changing the UX will have no impact on iOS app CR
68. Evidence
1. Android app has a higher CR than the iOS app (more than double).
2. Android app users have a higher ABV than iOS app users (+7%).
69. Evidence
1. Android app has a higher CR than the iOS app (more than double).
2. Android app users have a higher ABV than iOS app users (+7%).
3. The iOS app has a higher abandonment rate from all steps of the checkout
than the Android app.
70. Evidence
1. Android app has a higher CR than the iOS app (more than double).
2. Android app users have a higher ABV than iOS app users (+7%).
3. The iOS app has a higher abandonment rate from all steps of the checkout
than the Android app.
4. Customer comments indicate iOS app users love the checkout and praise
it's functionality (27% of comments).
71. Evidence
1. Android app has a higher CR than the iOS app (more than double).
2. Android app users have a higher ABV than iOS app users (+7%).
3. The iOS app has a higher abandonment rate from all steps of the checkout
than the Android app.
4. Customer comments indicate iOS app users love the checkout and praise
it's functionality (27% comments).
5. Our customer survey ranks ease of checkout on the iOS app as 3/5
(compared to 3.6 for the mobile site and 3.7 for desktop).
72. Evidence
1. Android app has a higher CR than the iOS app (more than double).
2. Android app users have a higher ABV than iOS app users (+7%).
3. The iOS app has a higher abandonment rate from all steps of the checkout
than the Android app.
4. Customer comments indicate iOS app users love the checkout and praise
it's functionality (27% comments).
5. Our customer survey ranks ease of checkout on the iOS app as 3/5
(compared to 3.6 for the mobile site and 3.7 for desktop).
6. In the sort/refine UX redesign it took users some time to become familiar
with the changes (data from customer interviews).
75. Changing UX will
reduce CR as iOS
users will be
unfamiliar with the
new checkout
Changing UX will
immediately increase
CR as it will remove
friction
Initially CR will
decline, as users will
be unfamiliar, but
once accustomed, CR
will improve
Changing the UX will
have no impact on iOS
app CR
Android app has a higher CR
than the iOS app (+ double)
Android has a higher ABV than
iOS app (+7%)
iOS has higher abandonment
from checkout than Android
27% comments of praise iOS
checkout functionality
Survey ranks ease of checkout
on iOS app as 3/5
Takes users time to become
familiar with the changes
76. Analyse the evidence/argument (work across)
Changing UX will
reduce CR as iOS users
will be unfamiliar with
the new checkout
Changing UX will
immediately increase
CR as it will remove
friction
Initially CR will
decline, as users will
be unfamiliar, but once
accustomed, CR will
improve
Changing the UX will
have no impact on iOS
app CR
Android app has a higher CR
than the iOS app (+ double)
Android has a higher ABV
than iOS app (+7%)
iOS has higher abandonment
from checkout than Android
27% comments praise iOS
checkout functionality
Survey ranks ease of checkout
on iOS app as 3/5
Takes users time to become
familiar with the changes
77. Analyse the evidence/argument (work across)
Changing UX will
reduce CR as iOS users
will be unfamiliar with
the new checkout
Changing UX will
immediately increase
CR as it will remove
friction
Initially CR will
decline, as users will
be unfamiliar, but once
accustomed, CR will
improve
Changing the UX will
have no impact on iOS
app CR
Android app has a higher CR
than the iOS app (+ double) -
Android has a higher ABV
than iOS app (+7%)
iOS has higher abandonment
from checkout than Android
27% comments praise iOS
checkout functionality
Survey ranks ease of checkout
on iOS app as 3/5
Takes users time to become
familiar with the changes
78. Analyse the evidence/argument (work across)
Changing UX will
reduce CR as iOS users
will be unfamiliar with
the new checkout
Changing UX will
immediately increase
CR as it will remove
friction
Initially CR will
decline, as users will
be unfamiliar, but once
accustomed, CR will
improve
Changing the UX will
have no impact on iOS
app CR
Android app has a higher CR
than the iOS app (+ double) - +
Android has a higher ABV
than iOS app (+7%)
iOS has higher abandonment
from checkout than Android
27% comments praise iOS
checkout functionality
Survey ranks ease of checkout
on iOS app as 3/5
Takes users time to become
familiar with the changes
79. Analyse the evidence/argument (work across)
Changing UX will
reduce CR as iOS users
will be unfamiliar with
the new checkout
Changing UX will
immediately increase
CR as it will remove
friction
Initially CR will
decline, as users will
be unfamiliar, but once
accustomed, CR will
improve
Changing the UX will
have no impact on iOS
app CR
Android app has a higher CR
than the iOS app (+ double) - + +
Android has a higher ABV
than iOS app (+7%)
iOS has higher abandonment
from checkout than Android
27% comments praise iOS
checkout functionality
Survey ranks ease of checkout
on iOS app as 3/5
Takes users time to become
familiar with the changes
80. Analyse the evidence/argument (work across)
Changing UX will
reduce CR as iOS users
will be unfamiliar with
the new checkout
Changing UX will
immediately increase
CR as it will remove
friction
Initially CR will
decline, as users will
be unfamiliar, but once
accustomed, CR will
improve
Changing the UX will
have no impact on iOS
app CR
Android app has a higher CR
than the iOS app (+ double) - + + -
Android has a higher ABV
than iOS app (+7%)
iOS has higher abandonment
from checkout than Android
27% comments praise iOS
checkout functionality
Survey ranks ease of checkout
on iOS app as 3/5
Takes users time to become
familiar with the changes
81. Analyse the evidence/argument (work across)
Changing UX will
reduce CR as iOS users
will be unfamiliar with
the new checkout
Changing UX will
immediately increase
CR as it will remove
friction
Initially CR will
decline, as users will
be unfamiliar, but once
accustomed, CR will
improve
Changing the UX will
have no impact on iOS
app CR
Android app has a higher CR
than the iOS app (+ double) - + + -
Android has a higher ABV
than iOS app (+7%)
iOS has higher abandonment
from checkout than Android
27% comments praise iOS
checkout functionality
Survey ranks ease of checkout
on iOS app as 3/5
Takes users time to become
familiar with the changes
82. Changing UX will
reduce CR as iOS
users will be
unfamiliar with
the new checkout
Changing UX will
immediately increase
CR as it will remove
friction
Initially CR will
decline, as users will
be unfamiliar, but
once accustomed, CR
will improve
Changing the UX will
have no impact on
iOS app CR
Android app has a higher CR
than the iOS app (+ double) - + + -
Android has a higher ABV than
iOS app (+7%) NA NA NA NA
iOS has higher abandonment
from checkout than Android - + + -
27% comments praise iOS
checkout functionality + + + NA
Survey ranks ease of checkout
on iOS app as 3/5 - + + +
Takes users time to become
familiar with the changes + - + NA
86. Changing UX will
reduce CR as iOS users
will be unfamiliar with
the new checkout
Changing UX will
immediately
increase CR as it
will remove friction
Initially CR will
decline, as users will
be unfamiliar, but
once accustomed, CR
will improve
Changing the UX will
have no impact on iOS
app CR
Android app has a higher CR
than the iOS app (+ double) - + + -
Android has a higher ABV
than iOS app (+7%) NA NA NA NA
iOS has higher abandonment
from checkout than Android - + + -
27% comments praise iOS
checkout functionality + + + NA
Survey ranks ease of checkout
on iOS app as 3/5 - + + +
Takes users time to become
familiar with the changes + - + NA
87. Changing UX will
reduce CR as iOS users
will be unfamiliar with
the new checkout
Changing UX will
immediately
increase CR as it
will remove friction
Initially CR will
decline, as users will
be unfamiliar, but
once accustomed, CR
will improve
Changing the UX will
have no impact on iOS
app CR
Android app has a higher CR
than the iOS app (+ double) - + + -
Android has a higher ABV
than iOS app (+7%) NA NA NA NA
iOS has higher abandonment
from checkout than Android - + + -
27% comments praise iOS
checkout functionality + + + NA
Survey ranks ease of checkout
on iOS app as 3/5 - + + +
Takes users time to become
familiar with the changes + - + NA
90. You can have all the evidence in the
world to back a hypothesis - but if
there is one piece of evidence that
disproves it - you can reject it
91. Analyse the hypotheses (work down)
Changing UX will
reduce CR as iOS
users will be
unfamiliar with the
new checkout
Changing UX will
immediately increase
CR as it will remove
friction
Initially CR will
decline, as users will
be unfamiliar, but
once accustomed, CR
will improve
Changing the UX will
have no impact on
iOS app CR
Android app has a higher
CR than the iOS app
(+ double)
- + + -
iOS has higher
abandonment from
checkout than Android
- + + -
Survey ranks ease of
checkout on iOS app as 3/5 - + + +
Takes users time to
become familiar with the
changes
+ - + NA
92. Analyse the hypotheses (work down)
Changing UX will
reduce CR as iOS
users will be
unfamiliar with the
new checkout
Changing UX will
immediately increase
CR as it will remove
friction
Initially CR will
decline, as users will
be unfamiliar, but
once accustomed, CR
will improve
Changing the UX will
have no impact on
iOS app CR
Android app has a higher
CR than the iOS app
(+ double)
- + + -
iOS has higher
abandonment from
checkout than Android
- + + -
Survey ranks ease of
checkout on iOS app as 3/5 - + + +
Takes users time to
become familiar with the
changes
+ - + NA
93. Analyse the hypotheses (work down)
Changing UX will
reduce CR as iOS
users will be
unfamiliar with the
new checkout
Changing UX will
immediately increase
CR as it will remove
friction
Initially CR will
decline, as users will
be unfamiliar, but
once accustomed, CR
will improve
Changing the UX will
have no impact on
iOS app CR
Android app has a higher
CR than the iOS app
(+ double)
- + + -
iOS has higher
abandonment from
checkout than Android
- + + -
Survey ranks ease of
checkout on iOS app as 3/5 - + + +
Takes users time to
become familiar with the
changes
+ - + NA
94. Analyse the hypotheses (work down)
Changing UX will
reduce CR as iOS
users will be
unfamiliar with the
new checkout
Changing UX will
immediately increase
CR as it will remove
friction
Initially CR will
decline, as users will
be unfamiliar, but
once accustomed, CR
will improve
Changing the UX will
have no impact on
iOS app CR
Android app has a higher
CR than the iOS app
(+ double)
- + + -
iOS has higher
abandonment from
checkout than Android
- + + -
Survey ranks ease of
checkout on iOS app as 3/5 - + + +
Takes users time to
become familiar with the
changes
+ - + NA
95. Analyse the hypotheses (work down)
Changing UX will
reduce CR as iOS
users will be
unfamiliar with the
new checkout
Changing UX will
immediately increase
CR as it will remove
friction
Initially CR will
decline, as users will
be unfamiliar, but
once accustomed, CR
will improve
Changing the UX will
have no impact on
iOS app CR
Android app has a higher
CR than the iOS app
(+ double)
- + + -
iOS has higher
abandonment from
checkout than Android
- + + -
Survey ranks ease of
checkout on iOS app as 3/5 - + + +
Takes users time to
become familiar with the
changes
+ - + NA
108. The cheat’s version...
Hypotheses Supports Disproves
Changing the layout will reduce CR as iOS users will be
unfamiliar with the new checkout
Changing the layout will immediately increase CR on the
iOS app as it will remove friction points (the design is more
streamlined)
Initially the CR will decline, as users will be unfamiliar with
the new checkout, but once accustomed to the new layout,
the CR will improve due to reduced friction points
Changing the layout will have no impact on iOS app CR
109. If you want to know more about working
@ ask me in the break
We currently have two analytics positions:
1. Director of Analytics
2. Digital Analytics Specialist
Questions?