We all have data. We know that we need to use data. But how do we use data to make strategic decisions when strategy making is a primarily creative act?
Colleen McEnaney – At our fingertips: Storytelling for mobileJournalism.co.uk
This document discusses visual storytelling for mobile and trends toward less interactivity and more linear explanatory stories on mobile. It notes that for journalistic and technical reasons, it is better to point out key data right away, have fast-loading pages for search engines, and favor swiping and scrolling over dropdowns and buttons on mobile. It provides examples of explanatory mobile stories and resources for further exploring tools and trends in interactive graphics and data visualization.
This document discusses the importance of communicating data effectively. It provides examples showing that without proper communication, valuable data can remain hidden or underutilized. Specifically, it notes that (1) scientist Gregor Mendel's discoveries about genetics were not widely adopted due to poor communication, and (2) relationship researchers John and Julie Gottman were able to have much greater impact by effectively disseminating their findings beyond just publishing. The document emphasizes that compiling data is useless without proper communication and that managers especially need to become better "consumers of data" who can understand and apply quantitative analysis.
Slaying Monsters with Graph Analysis in the DoD - Brandon Campbell,Northrop G...Neo4j
This document discusses how graph analysis was used at the Department of Defense to help solve problems with siloed, dirty, and incomplete data. It describes the process of creating several prototypes to surface dirty data using graphs and derive schemas without imposing rigid structures. Eventually a third prototype was created that demonstrated the power of graph analysis by allowing users to ask questions of the data and receive answers, showing the value of this new approach over traditional methods.
This document discusses the importance and benefits of data visualization. It notes that data visualization is the process of transforming numbers into graphs or images to reveal new insights and patterns in the data. It explains that visualizing data makes it easier to understand than raw numbers, allows people to see underlying patterns and insights, and gives a fuller picture than any single dataset alone by allowing comparison of relative data. The document advocates that managers should recognize the value of visualizing data to better analyze and make decisions based on the insights it provides.
How to Get More Value from Your Social DataAnna OBrien
Creating a meaningful insight is similar to baking a cake, with out the write ingredients, proper recipe, and something bake the batter- you'll struggle to produce something people want to consume. This deck explores at a high level how to work with data at each stage of the process. It is meant for anyone working with data- from savants to noobs.
Levelling up to the needs of the Marketing Dept. & the BoardroomHotwire
In today’s data driven world, PR must keep pace with the speed of wider business planning and decision making. To feed the right intelligence and insights to the marketing department and up to the board room requires that comms professionals move beyond measurement for self-justification. More than ever data gathered must help to inform present and future strategy rather than provide a rear view mirror on what’s happened. These slides will look at fresh survey data commissioned by Hotwire that addresses how comms professionals are using data today and the critical views of marketing professionals.
Colleen McEnaney – At our fingertips: Storytelling for mobileJournalism.co.uk
This document discusses visual storytelling for mobile and trends toward less interactivity and more linear explanatory stories on mobile. It notes that for journalistic and technical reasons, it is better to point out key data right away, have fast-loading pages for search engines, and favor swiping and scrolling over dropdowns and buttons on mobile. It provides examples of explanatory mobile stories and resources for further exploring tools and trends in interactive graphics and data visualization.
This document discusses the importance of communicating data effectively. It provides examples showing that without proper communication, valuable data can remain hidden or underutilized. Specifically, it notes that (1) scientist Gregor Mendel's discoveries about genetics were not widely adopted due to poor communication, and (2) relationship researchers John and Julie Gottman were able to have much greater impact by effectively disseminating their findings beyond just publishing. The document emphasizes that compiling data is useless without proper communication and that managers especially need to become better "consumers of data" who can understand and apply quantitative analysis.
Slaying Monsters with Graph Analysis in the DoD - Brandon Campbell,Northrop G...Neo4j
This document discusses how graph analysis was used at the Department of Defense to help solve problems with siloed, dirty, and incomplete data. It describes the process of creating several prototypes to surface dirty data using graphs and derive schemas without imposing rigid structures. Eventually a third prototype was created that demonstrated the power of graph analysis by allowing users to ask questions of the data and receive answers, showing the value of this new approach over traditional methods.
This document discusses the importance and benefits of data visualization. It notes that data visualization is the process of transforming numbers into graphs or images to reveal new insights and patterns in the data. It explains that visualizing data makes it easier to understand than raw numbers, allows people to see underlying patterns and insights, and gives a fuller picture than any single dataset alone by allowing comparison of relative data. The document advocates that managers should recognize the value of visualizing data to better analyze and make decisions based on the insights it provides.
How to Get More Value from Your Social DataAnna OBrien
Creating a meaningful insight is similar to baking a cake, with out the write ingredients, proper recipe, and something bake the batter- you'll struggle to produce something people want to consume. This deck explores at a high level how to work with data at each stage of the process. It is meant for anyone working with data- from savants to noobs.
Levelling up to the needs of the Marketing Dept. & the BoardroomHotwire
In today’s data driven world, PR must keep pace with the speed of wider business planning and decision making. To feed the right intelligence and insights to the marketing department and up to the board room requires that comms professionals move beyond measurement for self-justification. More than ever data gathered must help to inform present and future strategy rather than provide a rear view mirror on what’s happened. These slides will look at fresh survey data commissioned by Hotwire that addresses how comms professionals are using data today and the critical views of marketing professionals.
ATSYD 13 - Social Media Monitoring Panel Gavin Stewart
The document discusses social media monitoring and its value as a strategic tool. It provides perspectives from several social media experts on how to effectively monitor social media conversations, leverage influencers, and measure the real-world impact and return on investment of social media activities. Key recommendations include focusing on meaningful conversations rather than just volume of conversations, preparing strategically by understanding different audiences, and directing social changes towards constructive goals.
The document discusses how data and statistics can provide important insights if analyzed properly. It notes that preconceived ideas can prevent people from seeing what the data actually shows. It also recommends using tools like Gapminder to better link data to design and findings ways to make more data searchable and accessible to inform decision making and performance management for managers.
McCandless' repertoire of visualized data has ranged from politics and climate to pop music trends. But it’s not the actual graphics that present McCandless’ true brilliance. Rather, it’s his ability to discover new ways to combine data in a fresh and interesting way. In his TED Talk, he discusses his process of turning complex data into simple yet engaging graphics.
Humanizing privacy with power of user experience (UX)Ranjeet Tayi
Privacy is a fundamental human right and this needs an understanding of data. Many companies fail to leverage industry-standard usability principles to make privacy regulations easy for their customers to understand and consume. Looking from both organization and consumer perspectives, this talk will showcase how UX can simplify the integration of privacy/security compliance and scale for future regulations.
This document provides guidance on telling stories with data through effective data visualization projects. It outlines the key steps in the process: planning with a clear focus and goals; cleaning the data thoroughly; analyzing the data and designing the project like a news story; bulletproofing the project by testing for errors or weaknesses; launching the project with marketing; and maintaining the project over time. The overall message is that simpler, well-focused stories that provide context are most effective at engaging users, and every project requires thorough planning, data cleaning, and testing to ensure the quality and accuracy of the insights shared.
Data analysis is useful for understanding problems by taking them apart, but it does not always produce optimal solutions or point directly to conclusions. Managers should use data to understand issues but not rely too heavily on it, as data can sometimes mislead or be faulty. While services like Netflix use data to select the best shows, data analysis requires human judgment to bring different solutions together and make the right decisions.
What it Takes to Make a Moonshot—via Google[X] / #CannesLions #OgilvyCannesOgilvy
To achieve a "moonshot", one must identify and solve an enormous problem using science and technology. As a moonshot coach, you must inspire belief that the problem is solvable and that making the world much better is possible. You tell unfolding stories to invite others to join in working toward ambitious goals.
NZ Hello is an promotional company - helping businesses share their products with consumers of 'fans' - this our Media Kit, showing our stats, engagement, activity and giving you the information you need to understand the value we provide.
Hacking Performance Management, the Blue Green Game - With a live demo!
Dr. Branden R. Williams has almost twenty years of experience in technology and information security, both as a consultant and an executive. Branden co-founded a technology services company that provided the foundation to a prominent e-learning company. He has vast experience as a practitioner and consultant which included helping companies create user-centric security controls and models. His specialty is navigating complex landscapes—be it compliance, security, technology, or business—and finding innovative solutions that save companies money while reducing risk and improving performance. Along the way, he was a Consulting Director for VeriSign/AT&T, one of four CTOs at RSA, ISSA Distinguished Fellow, elected to the PCI Board of Advisors, and author of four books.
Assuming people are rational, we all do things to maximize our payoffs. It's why things like Enron, and the Sub Prime mortgage crisis happen. This demonstration will show you a key element to designing performance management systems that employees will hack to their advantage.
What is Scenario Planning? and Scenario Planning: Future ForcesRPO America
Heather Hannon of the Lincoln Institute presented an overview of scenario planning and future forces to consider in scenario planning during the 2020 National Regional Transportation Conference.
Revealing the Hidden Patterns of News Photos: Analysis of Millions of News Ph...Haewoon Kwak
This document summarizes a study that analyzed millions of news photos through the GDELT database and deep learning vision APIs to understand patterns in how people and topics are portrayed. Key findings include that news photos commonly feature people, who are often portrayed as neutral or smiling. The analysis found unequal gender representation and stereotyping, with women smiling more and looking younger than men. A case study on politician photos from CNN found Hillary Clinton smiling more than Bernie Sanders in some media coverage. The researchers propose deeper analysis of the relationships between photos, headlines, topics and gender representation to build tools for computational journalism.
The document discusses the importance of communicating data effectively. It states that data is worthless if not communicated, and that over 1.5 million managers are needed to take advantage of all generated data. However, results do not speak for themselves, and proper communication is needed. It provides examples of scientists like Gregor Mendel and Dr. John Gottman who achieved recognition through good data communication. While there is data everywhere, it needs to be communicated effectively to the intended audience by focusing only on relevant details. The key message is that having data is not enough - it must be communicated well to have value.
This document provides a strategy for simplifying analytics. It recommends three steps: 1) Accelerate data to enable real-time insights, 2) Delegate work to analytics technologies like business intelligence, data visualization, machine learning, and 3) Recognize that each path to insights is unique and will require an outcome-driven approach tailored to the specific business problem and context. Simplifying the analytics process in this way can help organizations more effectively manage data and uncover insights.
ConnectIn Keynote: The combined power of data and relationshipsLinkedIn D-A-CH
This document discusses the potential of big data in human resources (HR) based on a survey of HR decision makers in Germany, Austria and Switzerland (D-A-CH). It finds that 81% of respondents familiarized themselves with big data and its potential is seen as greatest for HR planning. HR managers prioritize using big data for internal communications and employer branding. However, its full potential can only be realized when both internal and external data sources are digitally collected and analyzed with IT support. Challenges include ensuring compliance with data protection laws and maintaining security.
David McCandless creates simple visualizations of complex data sets that reveal unseen patterns. His diagrams beauty simplify information overload. Good design, the author suggests, helps navigate excess data and may change perspectives. Visualizing information through patterns and connections focuses on what matters. Data has become a valuable resource, and relative, connected figures providing fuller context can change mindsets and behaviors. Information design solves data problems through elegant solutions.
The document discusses how not every problem is a graph problem and outlines lessons learned from working with graph databases in real-world scenarios. It provides examples of common graph and graph database problems and algorithms. Additionally, it describes two specific use cases worked with at a telecommunications company, including using a graph database for entity resolution and as a master identity store. The presentation emphasizes evaluating what specific goals and needs a problem has before deciding if a graph approach is warranted.
This document discusses measuring return on investment (ROI) for social media. It notes that while everyone wants to engage in social media, not many know how to do it effectively. The document stresses that ROI is important and outlines a blueprint for defining a strategy, executing it, and evaluating results. It provides examples of companies like Southwest Airlines, Marriott, and Dell that have earned millions in additional sales through social media interactions. Tools for monitoring social media are also mentioned.
The document discusses insights from statistical data that contradict common assumptions. It summarizes a study where participants estimated child mortality rates with only 1.8% accuracy, whereas the actual probability of a correct answer would be around 2.5%. The document advocates that managers make decisions based on analyzing data and facts rather than common sense. It also notes that available data, if properly analyzed, can provide understanding of tremendous changes and lead to better decision-making.
ATSYD 13 - Social Media Monitoring Panel Gavin Stewart
The document discusses social media monitoring and its value as a strategic tool. It provides perspectives from several social media experts on how to effectively monitor social media conversations, leverage influencers, and measure the real-world impact and return on investment of social media activities. Key recommendations include focusing on meaningful conversations rather than just volume of conversations, preparing strategically by understanding different audiences, and directing social changes towards constructive goals.
The document discusses how data and statistics can provide important insights if analyzed properly. It notes that preconceived ideas can prevent people from seeing what the data actually shows. It also recommends using tools like Gapminder to better link data to design and findings ways to make more data searchable and accessible to inform decision making and performance management for managers.
McCandless' repertoire of visualized data has ranged from politics and climate to pop music trends. But it’s not the actual graphics that present McCandless’ true brilliance. Rather, it’s his ability to discover new ways to combine data in a fresh and interesting way. In his TED Talk, he discusses his process of turning complex data into simple yet engaging graphics.
Humanizing privacy with power of user experience (UX)Ranjeet Tayi
Privacy is a fundamental human right and this needs an understanding of data. Many companies fail to leverage industry-standard usability principles to make privacy regulations easy for their customers to understand and consume. Looking from both organization and consumer perspectives, this talk will showcase how UX can simplify the integration of privacy/security compliance and scale for future regulations.
This document provides guidance on telling stories with data through effective data visualization projects. It outlines the key steps in the process: planning with a clear focus and goals; cleaning the data thoroughly; analyzing the data and designing the project like a news story; bulletproofing the project by testing for errors or weaknesses; launching the project with marketing; and maintaining the project over time. The overall message is that simpler, well-focused stories that provide context are most effective at engaging users, and every project requires thorough planning, data cleaning, and testing to ensure the quality and accuracy of the insights shared.
Data analysis is useful for understanding problems by taking them apart, but it does not always produce optimal solutions or point directly to conclusions. Managers should use data to understand issues but not rely too heavily on it, as data can sometimes mislead or be faulty. While services like Netflix use data to select the best shows, data analysis requires human judgment to bring different solutions together and make the right decisions.
What it Takes to Make a Moonshot—via Google[X] / #CannesLions #OgilvyCannesOgilvy
To achieve a "moonshot", one must identify and solve an enormous problem using science and technology. As a moonshot coach, you must inspire belief that the problem is solvable and that making the world much better is possible. You tell unfolding stories to invite others to join in working toward ambitious goals.
NZ Hello is an promotional company - helping businesses share their products with consumers of 'fans' - this our Media Kit, showing our stats, engagement, activity and giving you the information you need to understand the value we provide.
Hacking Performance Management, the Blue Green Game - With a live demo!
Dr. Branden R. Williams has almost twenty years of experience in technology and information security, both as a consultant and an executive. Branden co-founded a technology services company that provided the foundation to a prominent e-learning company. He has vast experience as a practitioner and consultant which included helping companies create user-centric security controls and models. His specialty is navigating complex landscapes—be it compliance, security, technology, or business—and finding innovative solutions that save companies money while reducing risk and improving performance. Along the way, he was a Consulting Director for VeriSign/AT&T, one of four CTOs at RSA, ISSA Distinguished Fellow, elected to the PCI Board of Advisors, and author of four books.
Assuming people are rational, we all do things to maximize our payoffs. It's why things like Enron, and the Sub Prime mortgage crisis happen. This demonstration will show you a key element to designing performance management systems that employees will hack to their advantage.
What is Scenario Planning? and Scenario Planning: Future ForcesRPO America
Heather Hannon of the Lincoln Institute presented an overview of scenario planning and future forces to consider in scenario planning during the 2020 National Regional Transportation Conference.
Revealing the Hidden Patterns of News Photos: Analysis of Millions of News Ph...Haewoon Kwak
This document summarizes a study that analyzed millions of news photos through the GDELT database and deep learning vision APIs to understand patterns in how people and topics are portrayed. Key findings include that news photos commonly feature people, who are often portrayed as neutral or smiling. The analysis found unequal gender representation and stereotyping, with women smiling more and looking younger than men. A case study on politician photos from CNN found Hillary Clinton smiling more than Bernie Sanders in some media coverage. The researchers propose deeper analysis of the relationships between photos, headlines, topics and gender representation to build tools for computational journalism.
The document discusses the importance of communicating data effectively. It states that data is worthless if not communicated, and that over 1.5 million managers are needed to take advantage of all generated data. However, results do not speak for themselves, and proper communication is needed. It provides examples of scientists like Gregor Mendel and Dr. John Gottman who achieved recognition through good data communication. While there is data everywhere, it needs to be communicated effectively to the intended audience by focusing only on relevant details. The key message is that having data is not enough - it must be communicated well to have value.
This document provides a strategy for simplifying analytics. It recommends three steps: 1) Accelerate data to enable real-time insights, 2) Delegate work to analytics technologies like business intelligence, data visualization, machine learning, and 3) Recognize that each path to insights is unique and will require an outcome-driven approach tailored to the specific business problem and context. Simplifying the analytics process in this way can help organizations more effectively manage data and uncover insights.
ConnectIn Keynote: The combined power of data and relationshipsLinkedIn D-A-CH
This document discusses the potential of big data in human resources (HR) based on a survey of HR decision makers in Germany, Austria and Switzerland (D-A-CH). It finds that 81% of respondents familiarized themselves with big data and its potential is seen as greatest for HR planning. HR managers prioritize using big data for internal communications and employer branding. However, its full potential can only be realized when both internal and external data sources are digitally collected and analyzed with IT support. Challenges include ensuring compliance with data protection laws and maintaining security.
David McCandless creates simple visualizations of complex data sets that reveal unseen patterns. His diagrams beauty simplify information overload. Good design, the author suggests, helps navigate excess data and may change perspectives. Visualizing information through patterns and connections focuses on what matters. Data has become a valuable resource, and relative, connected figures providing fuller context can change mindsets and behaviors. Information design solves data problems through elegant solutions.
The document discusses how not every problem is a graph problem and outlines lessons learned from working with graph databases in real-world scenarios. It provides examples of common graph and graph database problems and algorithms. Additionally, it describes two specific use cases worked with at a telecommunications company, including using a graph database for entity resolution and as a master identity store. The presentation emphasizes evaluating what specific goals and needs a problem has before deciding if a graph approach is warranted.
This document discusses measuring return on investment (ROI) for social media. It notes that while everyone wants to engage in social media, not many know how to do it effectively. The document stresses that ROI is important and outlines a blueprint for defining a strategy, executing it, and evaluating results. It provides examples of companies like Southwest Airlines, Marriott, and Dell that have earned millions in additional sales through social media interactions. Tools for monitoring social media are also mentioned.
The document discusses insights from statistical data that contradict common assumptions. It summarizes a study where participants estimated child mortality rates with only 1.8% accuracy, whereas the actual probability of a correct answer would be around 2.5%. The document advocates that managers make decisions based on analyzing data and facts rather than common sense. It also notes that available data, if properly analyzed, can provide understanding of tremendous changes and lead to better decision-making.
Why is it suboptimal to visualize data as plain figures? What is the purpose of data visualization? Why should you care? What is the interplay between statistics, data analysis, and a good marketing story? In this talk, I'll give some answers and try to convince you to adopt best practices in dataviz.
Booz Allen's experts define the science and art of Data Science in the ground breaking The Field Guide to Data Science. The work unlocks the potential data provides in improving every aspect of our lives by explaining how to ask the right questions from data.
Unlocking the Potential: Data as a Medium for Design & JusticeJess Freaner
As a designer and data scientist, I work with data in service of meeting people’s needs. This data is inherently subjective, which is what makes it both an excellent medium for design and vulnerable to misuse. I’ll share what it means to design with data and how data science can contribute to and augment the design process. Once we see what’s exciting and newly possible, we’ll delve into why now, more than ever, human-centered design matters as we discuss ethics and the impact of AI designs on individuals, communities, and societies.
Talk given by Jess Freaner (IDEO) at UX Strategy Meetup in Chicago - November 2019
This document summarizes a presentation on data discovery. It discusses key concepts in data discovery including data source joining, ontologies and taxonomies, rules of data discovery, single source of truth, and data visualization. It emphasizes the importance of not discarding original data and keeping track of the data transformation process to maintain data provenance and lineage. Overall, the presentation aims to illuminate how to understand and work with data through concepts in data discovery.
This document provides an introduction to data science. It defines data science as the art of turning data into actions through the creation of data products, which provide actionable information without exposing decision makers to underlying data or analytics. Data science differs from traditional analytics in its use of both deductive and inductive reasoning to discover new insights and test hypotheses. It also leverages interdisciplinary teams to generate prospective, actionable insights from diverse and real-time data sources. The goal of data science is to produce data products that answer key business questions and drive better decisions.
Data Science is the competitive advantage of the future for organizations interested in turning their data into a product through analytics. Industries from health, to national security, to finance, to energy can be improved by creating better data analytics through Data Science. The winners and the losers in the emerging data economy are going to be determined by their Data Science teams.
This document provides guidance on data visualization best practices. It discusses two main reasons to visualize data: for efficient communication and to detect patterns in data. It emphasizes exploiting the human visual system through techniques like Gestalt theory and preattentive attributes. The document provides tips on choosing effective visuals, focusing on the important information, removing clutter, and making visualizations accessible to broader audiences. Throughout, it stresses simplicity, truthful representation of data, and letting data drive visual design choices over aesthetics.
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Statistics: Visualizing Data
Introductory Essay from the Locks
The Reality Today
All of us now are being blasted by information design. It's being poured into our eyes
through the Web, and we're all visualizers now; we're all demanding a visual aspect to
our information… And if you're navigating a dense information jungle, coming across
a beautiful graphic or a lovely data visualization, it's a relief, it's like coming across a
clearing in the jungle. –David McCandless
In today’s complex ‘information jungle,’ David McCandless observes that “Data is the new soil.”
McCandless, a data journalist and information designer, celebrates data as a ubiquitous resource
providing a fertile and creative medium from which new ideas and understanding can grow.
McCandless’s inspiration, statistician Hans Rosling, builds on this idea in his own TEDTalk with his
compelling image of flowers growing out of data/soil. These ‘flowers’ represent the many insights that
can be gleaned from effective visualization of data.
We’re just learning how to till this soil and make sense of the mountains of data constantly being
generated. As Gary King, Director of Harvard’s Institute for Quantitative Social Science says in his New
York Times article “The Age of Big Data”:
“It’s a revolution. We’re really just getting under way. But the march of quantification,
made possible by enormous new sources of data, will sweep through academia,
business and government. There is no area that is going to be untouched.”
How do we deal with all this data without getting information overload? How do we use data
to gain real insight into the world? Finding ways to pull interesting information out of data can
be very rewarding, both personally and professionally. The managing editor of Financial Times
observed on CNN’s Your Money: “The people who are able to in a sophisticated and practical
way analyze that data are going to have terrific jobs." Those who learn how to present data in
effective ways will be valuable in every field.
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Many people, when they think of data, think of tables filled with numbers. But this long-held notion is
eroding. Today, we’re generating streams of data that are often too complex to be presented in a
simple “table.” In his TEDTalk, Blaise Aguera y Arcas explores images as data, while Deb Roy uses
audio, video, and the text messages in social media as data.
Some may also think that only a few specialized professionals can draw insights from data. When we
look at data in the right way, however, the results can be fun, insightful, even whimsical--and accessible
to everyone! Who knew, for example, that there are more relationship break-ups on Monday than on
any other day of the week, or that ...
Data scientists help organizations make sense of large amounts of structured and unstructured data. They identify rich data sources, clean incomplete or messy data, and analyze the resulting datasets to generate insights. Data scientists combine skills in computer science, math, and communication to turn data into discoveries and recommendations that help businesses make better decisions. The article highlights how a data scientist at LinkedIn analyzed user connections and developed the "People You May Know" feature, which significantly increased user engagement and growth for the company. Major companies like Google, Netflix, and GE now employ data scientists to optimize algorithms, products, and business operations using data-driven insights.
Seduced by the allure of big data and analytics, many companies are overlooking the true power of integrating deep human understanding to drive transformational action. This short presentation shows how companies that combine leading edge analytics with deep customer understanding will be able to unlock significant competitive advantage.
This document discusses the importance of data fluency skills in the 21st century. It defines key terms like data science, machine learning, data literacy, and statistical literacy. While these fields require extensive training, the document argues that domain expertise combined with basic data analysis skills can solve many problems. These basic skills include understanding data structures, using programming to interact with data, and exploratory data analysis through visualization. The data analysis process involves defining problems, collecting and preparing data, visualization and modeling, and communicating results. RStudio is presented as a tool that can support the entire data analysis process within a single integrated development environment.
From the MarTech Conference in London, UK, October 20-21, 2015. SESSION: The Human Side of Analytics. PRESENTATION: The Human Side of Data - Given by Colin Strong - @colinstrong - Managing Director - Verve, Author of Humanizing Big Data. #MarTech DAY2
Thinkful - Intro to Data Science - Washington DCTJ Stalcup
This document discusses an introductory session on data science. It begins with introductions and an outline of the session's goals, which are to define what a data scientist is, how the field has emerged, and how to become one. It then discusses the growing demand and high salaries for data scientists. Examples are given of how data science has been applied at companies like LinkedIn, Netflix, and for fighting Ebola. Key aspects of data science like big data, Hadoop, MapReduce, and machine learning algorithms are explained. The document concludes by discussing the data science process and tools used, and encourages the audience that it is possible for them to become data scientists with the right knowledge, skills, and learning approach.
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.
Natural Language Processing (NLP), RAG and its applications .pptxfkyes25
1. In the realm of Natural Language Processing (NLP), knowledge-intensive tasks such as question answering, fact verification, and open-domain dialogue generation require the integration of vast and up-to-date information. Traditional neural models, though powerful, struggle with encoding all necessary knowledge within their parameters, leading to limitations in generalization and scalability. The paper "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks" introduces RAG (Retrieval-Augmented Generation), a novel framework that synergizes retrieval mechanisms with generative models, enhancing performance by dynamically incorporating external knowledge during inference.
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
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataKiwi Creative
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
1. Data,
Strategy,
and Authenticity:
a love story
Kendra Clarke
kendra@clarkwithane.com
most socials: itsclarkwithane
23 September 2016
Lesbians Who Tech Summit: New York