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To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
Como parte do material para o aniversário de 460 anos da cidade, um raio-x dos imigrantes na capital.Texto de Fabiana Maranhão e programação por Franklin Javier Gonzalez de Alves. Mais em goo.gl/8QNP1u
Showing a sequence of 99 bowls and a series of 99 photographs by Franco Vimercati
Link to the exhibition: www.skd.museum/en/special-exhibitions/the-things-of-life-...
The increase in the population of the US versus, for the same time period, US traffic fatalities and US military fatalities. Be safe, join the army!
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
An Interactive Look at Pharrell Williams with ZoomCharts’ Network Graph
With the ZoomCharts network graph, a variety of options are available at your fingertips:
4. Click on a data node to explore more information about each subject.
ZoomCharts’ line of advanced data visualization software offers a fantastic way to enhance the user experience in data presentation by letting you organize and present large amounts of information in a visually engaging way—a task made even easier when you’re working with a visually appealing subject matter like celebrities.
Not only do ZoomCharts charts and graphs turn dull data presentation into an interactive and fun experience by letting you play around with data nodes, zoom in and out on different areas of the graph, and tailor the look and feel of your graph to suit your specific needs with customizable images and descriptions, but the software also works at incredibly fast speeds. Changes are reflected instantaneously when you alter, tweak, or move data nodes, making ZoomCharts a leader in data presentation efficiency.
This is why German website Celepedia, which provides the ultimate celebrity wiki that lets users learn and share knowledge about their favorite stars, chose ZoomCharts network graphs to display data in all their celebrity features. Armed with the tools that only ZoomCharts can provide with advanced functionality and unmatched speeds in data presentation, Celepedia set itself up as a leading provider of entertainment information.
Let’s take an interactive look at The Neptunes’ Pharrell Williams—a singer, songwriter, musician, and music producer who has collaborated with artists such as Madonna, Justin Timberlake, Beyoncé Knowles, Jay-Z, Britney Spears, Daft Punk, Snoop Dogg, Kelis, Nelly, Mystikal, and N’Sync—and explore who some of his friends in the music industry are, according to Celepedia users.
Pharrell is linked with a number of major players in the music industry, including female pop stars like Gwen Stefani and Miley Cyrus, hip hop artists like Jay-Z, Kanye West, and Pusha T, soul and R&B singers like Beyoncé, Robin Thicke, and Cee-Lo Green, folk and alternative rockers like Benji Madden and Ed Sheeran, his backup dancer Khadija Shari, and of course his wife, Helen Lasichanh.
Check out ZoomCharts products:
Network Chart
Big network exploration
Explore linked data sets. Highlight relevant data with dynamic filters and visual styles. Incremental data loading. Exploration with focus nodes.
Time Chart
Time navigation and exploration tool
Browse activity logs, select time ranges. Multiple data series and value axes. Switch between time units.
Pie Chart
Amazingly intuitive hierarchical data exploration
Get quick overview of your data and drill down when necessary. All in a single easy to use chart.
Facet Chart
Scrollable bar chart with drill-down
Compare values side by side and provide easy access to the long tail.
ZoomCharts
The world’s most interactive data visualization software
#zoomcharts #interactive #data #interactivedata #datavisualization #interactivedatavisualization #chart #graph #charts #graphs #net #netchart #netgraph #networkgraph #Pharrell #Pharrell Williams #singer #songwriter #music #musicproducer #musician #Madonna #JustinTimberlake #Beyonce #Jay-Z #BritneySpears #Daft Punk #SnoopDogg #Kelis #Nelly #Mystikal #N’Sync #Celepedia #German #celebrity #entertainment #wiki #fun #fast #speed #customizable #custom
Google logo visualized as a path in RGB color space.
Each of the four colors makes a loop because it travels from light to dark tones in the beveled letters.
You can get the Processing source code in this blog post
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
If you also want to make any infographic or motion graphic you can contact me and this is link of all my infographic work
You can add me on skype mohit.lakhmani1 or mail me at mohit_freelance@rediffmail.com or call me at +91 9540705769
Thanks
Mohit Lakhmani
This Infographic is made to show and increase awareness about workplace safety. The workplace injured employs are categories by their status, sex and race or ethnic origin. Impact of workplace injury & illness on family. Brief differences on top 5 industries for total workplace fatalities in 1992 & 2009 Vs. 2010.
If you also want to make any infographic or motion graphic you can contact me and this is link of all my infographic work
You can add me on skype mohit.lakhmani1 or mail me at mohit_freelance@rediffmail.com or call me at +91 9540705769
Thanks
Mohit Lakhmani
This infographic is made to show different style of wedding invitation, write patterns in wedding invitation card from formal to less formal, type of fonts used and etc
Wedding Wording TOP 5 styles compile by going back over Digby & Rose's last 400 wedding invitations of 2013. Including RSVP and something about the letter "M".
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
Data Vksualization Summit
Boston, September 25-26, 2014
Presented by The Innovation Enterprise
theinnovationenterprise.com
Sketchnotes of Dimitris Agrafiotis
#dataviz2014
As the world waits for the Copenhagen summit next December we take a look at the world opinions about the efforts that should be made. What's amazing with this data from World Public Opinion is that the majority of the world's population is looking forward for their government's to address this issue. People are ready to take upon them some burdens if they feel it helps healing the world.
What we like about this is that politicians should look to the Copenhagen summit without fear of loosing their people's support even if they need to make some changes in some comfort areas. This means that there is a real possibility to finally take measurements that really matter to the world and the climate change.
Poster: A3, type: Helvetica
By: Pedro Monteiro www.whatype.com
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
This infographic covers everything you ever wanted to know about breast implants and augmentation. Original Source: www.drsanderscosmeticsurgery.com/495653/2012/07/12/breast...
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
#FLOWERS4U #flower #floralfriday #flowerpower #flowerpics #flowerphotography #blom #lule #ծաղիկ #gül #кветка #ফুল #цвете #flor #花 #cvijet #květina #blomst #bloem #lill #bulaklak #kukka #fleur #ყვავილების #Blume #λουλούδι #ફૂલ #flè #फूल #virág #blóm #bunga #bláth #fiore #花 #ಹೂವು #ផ្កា #꽃 #ດອກ #florem #zieds #gėlė #цвет #fjura #blomst #kwiat #floare #цветок #kvetina #cvet #maua #blomma #மலர் #పువ్వు #ดอกไม้ #çiçek #квітка #hoa #blodau #wâbigin #nature #aard #natyrë #բնություն #təbiət #natura #প্রকৃতি #priroda #природа #naturalesa #kinaiyahan #chikhalidwe #大自然 #příroda #natur #natuur #loodus #kalikasan #luonto #natureza #ბუნება #natur #φύση #પ્રકૃતિ #yanayi #प्रकृति #természet #eðli #alam #nádúr #natura #自然 #ಪ್ರಕೃತಿ #табиғат #ធម្មជាតិ #자연 #ລັກສະນະ #daba #pobūdis #природата #പ്രകൃതി #निसर्ग #သဘာဝ #प्रकृति #natură #природа #narava #naturaleza #табиат #இயல்பு #ప్రకృతి #ธรรมชาติ #doğa #tabiat #натура #flowerstagram #flowerlovers #bloomsofinstagram #florallove #flowerpower #flowerbeauty #flowerphotography #petalperfection #floraladdict #flowergarden #bloomingbeauty #flowermagic #floral_perfection #flowersmakemehappy #floweraddiction #flowerfields #floralobsession #floralwonder #flowerlife #floraldesign #floweroftheday #flowergram #flowerlove #floralfix #flowerheaven #flowerart #floralinspiration #flower_daily #floraldecor #flowertherapy #AI_MAIN #ArtificialIntelligence #MachineLearning #DeepLearning #AI #NeuralNetworks #DataScience #BigData#Tech #Innovation #AIArtistry #ArtificialArt #MachineArt #AIgenerativeart #ArtificialVision #NeuralArt #Cyberart #SyntheticDesign #DigitalPainting #AlgorithmicPainting #GeneratedArt #RoboticDesign #AIinspiredart #ArtificialInspiration #DataVisualization #TechDesign #ArtificialExpression #ArtificialBeauty #ArtificialBrilliance #TheArtOfMachine #AIInnovationInArt #AiArt #ArtificialIntelligence #MachineLearning #DeepLearning #NeuralNetworks #ArtificialCreativity #DigitalArt #GenerativeArt #TechArt #CyberpunkArt #FuturisticArt #RoboticArt #AIgenerated #SyntheticArt #CodeArt #DataArt #AlgorithmicArt #ArtificialImagination #TheArtofAI #AIandArt #AIinArt #ArteDeInteligenciaArtificial #ArteDeAprendizajeAutomatico #ArteDeAprendizajeProfundo #ArteDeRedesNeuronales #ArteDeCreatividadArtificial #ArteDigital #ArteGenerativo #ArteTecnológico #ArteCyberpunk #ArteFuturista #ArteRobótico #ArteGeneradoPorIA #ArteSintético #ArteDeCódigo #ArteDeDatos #ArteAlgorítmico #ImaginaciónArtificial #ElArteDeLaIA #InnovaciónEnElArteDeIA #ArteEInteligenciaArtificial #ArteInnovadorDeIA #ArtificialIntelligenceArt #ArtIntelligenceArtificielle #MachineArt #ArtMachine #DeepLearningArt #ArtApprentissageProfond #NeuralNetworksArt #ArtReseauxNeurones #ArtCréativitéArtificielle #CréativitéNumérique #ArtGénératif #ArtTech #ArtCyberpunk #ArtFuturiste #ArtRobotique #ArtGénéréparIA #DesignSynthétique #ArtCode #ArtDeDonnées #ArtAlgorithmique #ImaginationArtificielle #ArtEtIA #KünstlicheIntelligenzKunst #KIkunst #MaschinellesLernenKunst #MLKunst #TiefesLernenKunst #DLKunst #NeuronaleNetzeKunst #NNKunst #KünstlicheKreativität #Digitalekunst #GenerativeKunst #TechKunst #CyberpunkKunst #Zukunftskunst #RoboterKunst #IAgenerierteKunst #SynthetischeKunst #CodeKunst #DatenKunst #AlgorithmenKunst #KünstlicheImagination #KunstUndKI #人工知能アート #機械学習アート #深層学習アート #ニューラルネットワークアート #人工クリエイティブアート #デジタルアート #ジェネレーティブアート #テクノロジーアート #サイバーパンクアート #未来アート #ロボットアート #人工知能生成アート #シンセティックアート #コードアート #データアート #アルゴリズムアート #人工想像アート #人工知能とアート #人工知能革新アート #ArteDeInteligenciaArtificial #ArteDeAprendizajeAutomatico #ArteDeAprendizajeProfundo #ArteDeRedesNeuronales #ArteDeCreatividadArtificial #ArteDigital #ArteGenerativo #ArteTecnológico #ArteCyberpunk #ArteFuturista #ArteRobótico #ArteGeneradoPorIA #ArteSintético #ArteDeCódigo #ArteDeDatos #ArteAlgorítmico #ImaginaciónArtificial #ElArteDeLaIA #InnovaciónEnElArteDeIA #ArteEInteligenciaArtificial #ArteInnovadorDeIA
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
Our entry for a cardboard visualization competiton. We used the Canadian federal departments travel expenses, which later became the online version Expense Visualizer.
ZoomCharts is offering data visualization tools to support presenters at the Cyber Threats World Summit 2015, taking place May 15th, 2015 at the Lalit Mumbai, Sahar Airport Road, Mumbai, Maharashtra 400059, India.
Check out what you can do with ZoomCharts charts and graphs at zoomcharts.com
ZoomCharts is a leading data visualization provider, offering the world’s most interactive data visualization software with fully interactive charts and graphs that support big data sets, work with all mobile devices, and perform at incredibly fast speeds. Be among the growing number of professionals discovering the exciting potential that ZoomCharts has in improving the efficiency of data analysis and presentation.
The third annual Cyber Threats World Summit brings together national and international cyber security experts and professionals to understand the nature of cyber attacks. Cyber security is an important subject, as India is the third most vulnerable country in the world to cyber attacks.
It is an event in the interest of professionals such as Senior Management, Policy Makers, Business Owners, Procurement Specialists, Board Management, CEOs, CTOs, CFOs, IT Executives, Mobile App Developers, Accountants, and Lawyers, among many others.
Be a part of the conference that will highlight critical aspects of next generation cyber threats, in sectors such as Telecom and IT, Banking & Financial services, Defense, Government, Legal, Transportation, and more.
Learn how to cope with emerging and continuing cyber threats that have seen increases in volume, from sources such as hostile governments, terrorist groups, disgruntled employees, malicious intruders, and malware, with the opportunity to discuss ways to secure the cyber space of the future in order to ensure financial security and business continuity.
Check out ZoomCharts products:
Network Chart
Big network exploration
Explore linked data sets. Highlight relevant data with dynamic filters and visual styles. Incremental data loading. Exploration with focus nodes.
Time Chart
Time navigation and exploration tool
Browse activity logs, select time ranges. Multiple data series and value axes. Switch between time units.
Pie Chart
Amazingly intuitive hierarchical data exploration
Get quick overview of your data and drill down when necessary. All in a single easy to use chart.
Facet Chart
Scrollable bar chart with drill-down
Compare values side by side and provide easy access to the long tail.
ZoomCharts
The world’s most interactive data visualization software
#zoomcharts #interactive #data #visualization #charts #graphs #bigdata #dataviz #CyberThreats #Mumbai #India #Lalit #cyber #security #web # Telecom #IT #Banking #Financial #Defense #Government #Legal #Transportation
If you also want to make any infographic or motion graphic you can contact me and this is link of all my infographic work
You can add me on skype mohit.lakhmani1 or mail me at mohit_freelance@rediffmail.com or call me at +91 9540705769
Thanks
Mohit Lakhmani
A breast implant is a prosthesis used to correct the size, form, and texture of a woman’s breast; in plastic surgery, breast implants are applied for post–mastectomy breast reconstruction; for correcting congenital defects and deformities of the chest wall; for aesthetic breast augmentation.
In this Infographic we have shown how much percentage of people use this procedure, we have made category vie countries and ages group
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
If you also want to make any infographic or motion graphic you can contact me and this is link of all my infographic work
You can add me on skype mohit.lakhmani1 or mail me at mohit_freelance@rediffmail.com or call me at +91 9540705769
Thanks
Mohit Lakhmani
This Infographic is made to show and increase awareness about workplace safety. The workplace injured employs are categories by their status, sex and race or ethnic origin. Impact of workplace injury & illness on family. Brief differences on top 5 industries for total workplace fatalities in 1992 & 2009 Vs. 2010.
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
March 17th is Saint Patrickâs Day, a day that marks the death of the patron saint of Ireland, and which has also in the last few years evolved into a day where non Irish folk can âbecomeâ Irish with a series of odd traditions.
Where it was originally marked as a religious feast day where Lenten fasting observations were temporarily lifted to commemorate Saint Patrick, the arrival of Christianity in Ireland, and Irish heritage and culture, Saint Patrickâs Day is now affectionately associated with activities such as going to a pub or bar with a group of friends, drinking copiously, particularly items laced with green food colouring such as those thoroughly enticing/disgusting green beer concoctions, reciting clichéd Irish sayings in poor impersonations of Lucky Charmsâ Lucky the Leprechaun, wearing plastic leprechaun hats, felt leprechaun hats, and t shirts that say things like, âEveryone loves an Irish girl/guyâ, âKiss me, Iâm Irish,â or âIrish I were drunk,â and generally not remembering much of it the next day.
If youâre not into any of these Saint Patrickâs Day âtraditionsâ, there are many other things you can do to celebrate the Irish culture and still feel great on March 18th while everyone else nurses coconut water and Gatorade and swears that they are never drinking again.
There are plenty of food options that are green by nature and donât involve using your entire pantryâs supply of green food colouring, and which are actually really healthy for you, too! Indulge in a spinach and kale smoothie for breakfast, add some grilled asparagus to your dinner, avocados in your salad, kiwi in your fruit salad, or enjoy a delicious cup of matcha green tea at snack time.
Make a U2 playlist. Even if you arenât Bonoâs biggest fan doesnât mean you canât rock out to In the Name of Love.
After your U2 dance party, kick back with your green food treats and enjoy a Netflix marathon with episodes of The Fall, a TV series that is part crime drama, part psychological thriller which is set in Belfast, Ireland, and which features the increasingly popular Irish actor Jamie Dornan of 50 Shades of Grey fame.
Happy St. Patrickâs Day from all of us at ZoomCharts! We hope itâs an enjoyable one, no matter how you choose to celebrate!
Check out ZoomCharts products:
Network Chart
Big network exploration
Explore linked data sets. Highlight relevant data with dynamic filters and visual styles. Incremental data loading. Exploration with focus nodes.
Time Chart
Time navigation and exploration tool
Browse activity logs, select time ranges. Multiple data series and value axes. Switch between time units.
Pie Chart
Amazingly intuitive hierarchical data exploration
Get quick overview of your data and drill down when necessary. All in a single easy to use chart.
Facet Chart
Scrollable bar chart with drill-down
Compare values side by side and provide easy access to the long tail.
ZoomCharts
The worldâs most interactive data visualization software
#zoomcharts #interactive #data #datavisualization #charts #graphs #bigdata #dataviz #StPatrick #StPaddys #StPatricksDay #SaintPatrick #SaintPatricksDay #LuckyCharms #LuckytheLeprechaun #leprechaun #U2 #Bono #Netflix #Belfast #Ireland #TheFall #JamieDornan #50ShadesofGrey
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
This infographic shows the amount of foreign students moving to Piemonte in the period from 1994 to 2008.
The aim is to highlight the provenance of the students for each year by using pie charts for a quick visual comparison; flows are subdivided in 6 chromatic clusters, each referred to a continent.
The size of each pie chart is determined by the total numerical amount of students for each year, also indicated below. More numerical information specify the number of visits for each state, through a "tag cloud" metaphor.
The source of the information is the site www.dati.piemonte.it, an Open Data initiative launched by the Region itself.
Check it also on www.closr.it/show/JbXShO93jqG
#architecture #arquitectura #зодчество #arquitetura #建筑 #건축술 #建築 #architettura #αρχιτεκτονική #Architektur #architectuur #建築學 #建筑学 #stavebnictví #building #arhitektura #architektura #arkitektur #architectuur #arhitektuur #arkitektura #arkkitehtuuri #arquitectura #არქიტექტურა #Architektur #αρχιτεκτονική #સ્થાપત્ય #achitekti #ארכיטקטורה #वास्तुकला #építészet #arkitektúr #arsitektur #ailtireacht #architettura #アーキテクチャ #arsitektur #ವಾಸ್ತುಶಿಲ್ಪ #ស្ថាបត្យកម្ម #건축물 #ຖາປັດຕະຍະ #arhitektūra #architektūra #архитектура #senibina #arkitettura #hoahoanga #आर्किटेक्चर #архитектур #वास्तुकला #arkitektur #معماری #arquitetura #ਆਰਕੀਟੈਕਚਰ #arhitectura #архитектура #usanifu #arkitektur #கட்டிடக்கலை #నిర్మాణం #สถาปัตยกรรม #mimari #архітектура #kiếntrúc #pensaernïaeth #akitekiso #AI_MAIN #ArtificialIntelligence #MachineLearning #DeepLearning #AI #NeuralNetworks #DataScience #BigData#Tech #Innovation #AIArtistry #ArtificialArt #MachineArt #AIgenerativeart #ArtificialVision #NeuralArt #Cyberart #SyntheticDesign #DigitalPainting #AlgorithmicPainting #GeneratedArt #RoboticDesign #AIinspiredart #ArtificialInspiration #DataVisualization #TechDesign #ArtificialExpression #ArtificialBeauty #ArtificialBrilliance #TheArtOfMachine #AIInnovationInArt #AiArt #ArtificialIntelligence #MachineLearning #DeepLearning #NeuralNetworks #ArtificialCreativity #DigitalArt #GenerativeArt #TechArt #CyberpunkArt #FuturisticArt #RoboticArt #AIgenerated #SyntheticArt #CodeArt #DataArt #AlgorithmicArt #ArtificialImagination #TheArtofAI #AIandArt #AIinArt #ArteDeInteligenciaArtificial #ArteDeAprendizajeAutomatico #ArteDeAprendizajeProfundo #ArteDeRedesNeuronales #ArteDeCreatividadArtificial #ArteDigital #ArteGenerativo #ArteTecnológico #ArteCyberpunk #ArteFuturista #ArteRobótico #ArteGeneradoPorIA #ArteSintético #ArteDeCódigo #ArteDeDatos #ArteAlgorítmico #ImaginaciónArtificial #ElArteDeLaIA #InnovaciónEnElArteDeIA #ArteEInteligenciaArtificial #ArteInnovadorDeIA #ArtificialIntelligenceArt #ArtIntelligenceArtificielle #MachineArt #ArtMachine #DeepLearningArt #ArtApprentissageProfond #NeuralNetworksArt #ArtReseauxNeurones #ArtCréativitéArtificielle #CréativitéNumérique #ArtGénératif #ArtTech #ArtCyberpunk #ArtFuturiste #ArtRobotique #ArtGénéréparIA #DesignSynthétique #ArtCode #ArtDeDonnées #ArtAlgorithmique #ImaginationArtificielle #ArtEtIA #KünstlicheIntelligenzKunst #KIkunst #MaschinellesLernenKunst #MLKunst #TiefesLernenKunst #DLKunst #NeuronaleNetzeKunst #NNKunst #KünstlicheKreativität #Digitalekunst #GenerativeKunst #TechKunst #CyberpunkKunst #Zukunftskunst #RoboterKunst #IAgenerierteKunst #SynthetischeKunst #CodeKunst #DatenKunst #AlgorithmenKunst #KünstlicheImagination #KunstUndKI #人工知能アート #機械学習アート #深層学習アート #ニューラルネットワークアート #人工クリエイティブアート #デジタルアート #ジェネレーティブアート #テクノロジーアート #サイバーパンクアート #未来アート #ロボットアート #人工知能生成アート #シンセティックアート #コードアート #データアート #アルゴリズムアート #人工想像アート #人工知能とアート #人工知能革新アート #ArteDeInteligenciaArtificial #ArteDeAprendizajeAutomatico #ArteDeAprendizajeProfundo #ArteDeRedesNeuronales #ArteDeCreatividadArtificial #ArteDigital #ArteGenerativo #ArteTecnológico #ArteCyberpunk #ArteFuturista #ArteRobótico #ArteGeneradoPorIA #ArteSintético #ArteDeCódigo #ArteDeDatos #ArteAlgorítmico #ImaginaciónArtificial #ElArteDeLaIA #InnovaciónEnElArteDeIA #ArteEInteligenciaArtificial #ArteInnovadorDeIA
Social Media and the Psychological City
Social media are increasingly becoming part of our everyday lives, from connecting with friends and sharing images to exploring cities through location-based applications.
Sites such as Foursquare and Facebook allow us to spatially mark our explorations in the city, creating rich databases that hold digital imprints of our interactions. To analyze these traces, the Foursquare and Facebook Application Programming Interfaces (API’s) were used to access location-based data to determine where social media users broadcast that they are “Here Now”. Analysis of this geographic data exposed the psycho-geography and economic terrain of New York City’s social media users.
Foursquare users tell us how they feel but they also provide valuable land use and economic information for cities where this information can be hard to obtain. These maps of Mexico City, Moscow, Mumbai, Rio de Janeiro, Beijing, and Tokyo allow us to compare how Foursquare users operate in these cities, but more importantly expose urban economic patterns that might not otherwise been seen.
Looking at these global cities provides a sense of how people travel around the city, where there are employment and commercial centers, and seasonal preferences – such as the indoor malls in Moscow. In Tokyo and Mumbai, the infrastructure of the transportation system is clearly visible as the nervous system of the city. Social Media can provide rich data about urban form and land use which is otherwise unavailable for many cities around the world – providing a new tool for research about how people respond and interact with cities in a way never before achieved.
Spatial Information Design Lab
Project Lead: Sarah Williams, Co-Director Spatial Information Design Lab
Research Associates: Juan Francisco Saldarriaga (Project Manager), Georgia Bullen, Francis Tan, Noa Younse, Bryan Valentini
Student Researchers: Fatima Abdul-Nabi, Adare Blumenfeld, Caitlin Hackett, Jen So Godzeno, Alex McQuilkin, Tiffany Rattray, Carlos Salazar Echavarría, Fred Sham, Nathan Tinclair
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
This infographic shows the amount of visits to the italian region of Piemonte and their provenance.
The flow has been divided in three main categories:
EU - European states;
EX - Extra-European states;
ITA - Italian regions.
Each category has been respectively divided in the following groups:
EU: Northern, Southern, Eastern, Central Europe, other european states;
EX: North America, South America, Asia, Africa, Oceania, other countries;
ITA: all regions are shown.
The aim of this visualization is to quickly highlight the number and the provenance of each flow of visits towards each specific Piemonte province, and most of all to put these data in proportion, also summing up the top countries. Each flow has been visualized through the metaphore of barcodes, for obtaining a "chromatic worldwide barcode" identifying a sort of "Piemonte DNA".
The source of the information is the site www.dati.piemonte.it, an Open Data initiative launched by the Region itself.
Check it on ClosR.it www.closr.it/show/HWzQt4NTWEx
This infographic is posted here. www.blog.visup.it/2010/10/data-visualization/italian-open...
www.youtube.com/watch?v=ECub4tpRaic
ZoomCharts Co-Founder and CEO Janis Volbergs gave a well received presentation at a UI/UX meetup event to talk about the array of progressive ZoomCharts features available today and the great things the team is coming up with for the near future.
Check out this overview of Volbergsâ presentation to discover why ZoomCharts is a world leader in interactive data visualization software:
The name of our product is ZoomCharts, and what we are producing is ZoomCharts SDK, which is the worldâs most interactive data software. We are a new startup established in Latvia just last year. The product, since March of this year, is available for purchase and has been purchased by many different customers from all over the world. The actual product is entirely new data visualization software development GIT, which puts in the center not the technology, but the person sitting behind the device that every one of us has in the pockets; users of mobile phones, users of iPads.
We wanted to make such a development toolkit that would allow developers to create interfaces that make it easy to access data, to analyze data, to interact with data. We are not a library that lets you create a chart, we are a library that lets you create an interface that then engages the user into an immersive, interactive data exploration venture.
To give you an idea of what sort of visualizations you can achieve using our development kit, we have products like the network chart. The network chart lets you visualize different networks of data, whether they are social networks, whether they are Internet of things networks. All of that you can visualize on any device you have, basically, whether itâs an iPhone, iPad, notebook, or touch TV. The interactive time chart lets you access big data with time and explore what happens within specific areas of that data without using any other interface component. We have also reinvented the pie chart and the facet chart.
What makes our SDK unique? First of all, itâs built to make data navigation engaging, so it wonât be just a boring chart or boring interface. It will be interesting for people to actually use your software that would include a ZoomCharts application. We also know that most of you like the performance of the application, so we put a lot of effort in creating this development kit such that it will be super nice looking and super fast on most contemporary devices. We have also added different aspects of how you can visualize different data in a compelling way. And for those of you who already have some applications or products, ZoomCharts helps you sell your product because when we show our products to actual consumers, when they see the interface built with ZoomCharts, they love it, and they can immediately see how they can use it for other purposes. So basically, what we are doing with ZoomCharts is accelerating the emergence of new ideas that couldnât have been done yesterday because there wasnât such development yet available.
I could talk a lot about it, but itâs better to show you some real life examples of how we have applied ZoomCharts to tackle some of the issues in the real world. With a product called myinstabank, the Internet account statements show a long boring list, and when you need to see the big picture, you just canât. All you get is just a list. Normally you would just use the export option to make some Excel charts. We found that we could use our interface to give all this information another meaning in the hands of users. We applied our charts to the already existing data within the Internet banks.
What we have here is a time chart. It shows you data aggregated by timestamps. So if you have any data that has timestamps, you can use the time chart. The picture is where most of the chart libraries end; it is the end product of their libraries. In our case, the chart is just the beginning of your venture because now letâs imagine you wanted to see what happened in the year 2012. What do you have to do? One click. You just click on it, and immediately the chart communicates with the banking database, retrieves more data for that period, and immediately aggregates data. No more dropdowns where you have to pick specific dates or unintuitive actions. The rest of the interface then responds to the time period you have selected. The list is there, but now itâs filtered for that one year you just selected. If you need some other information, just one click, and the interface is communicating back to the server and fetching data. Speaking about the pie charts, they immediately show you where your money is coming from, and how you spent your money. All our charts are interactive, so you can click on any slice to filter out the time chart. I said before that we have reinvented certain aspects of the pie chart and one of the key aspects that we have reinvented is, normally if you have a pie chart, you have a grey area that says âothersâ and you never know whatâs inside there. Well, we have fixed that problem. Just one click and it automatically expands. So now, using one pie chart, you can explore all the data.
All of this is interactive, so on iPad, you can use gestures to swipe in, swipe out, do all sorts of things. All charts come bundled with extensive API, which means that you can combine these charts with other JavaScript components that exist within your application to create an interface and an experience to your user that you are looking forward to. The time chart is big data ready because it comes with a very smart data cache and if you attach it to the data sources that handle a lot of data, whenever you do some navigation, it automatically reflects only data for that particular period of time, so there is no unnecessary data being fetched from your servers. Thus, you keep the loads small, the interface fluid, and the overall experience very nice.
One of the very unique products that we have within ZoomCharts is the network chart component. The network chart component lets you visualize different social, financial and other network structures directly within your device. In this particular example, what we did is fetch a subset of the IMDb database to show you how you can use the network chart to visualize information that is already there but in a totally different way. So imagine you get home and you would like to see a new movie but you are not really sure what you want to look for. You know that you like Al Pacino, so what you do is type in âAl Pacinoâ and immediately you see the actor and the top movies of his. This is the point where your joy of data exploration begins. With a single tap, you can explore what other actors are involved in that particular movie. And you can continue this exploration until you find content that youâd be happy to consume. What is good here is this moment of trust because you started with Al Pacino, you trust that person, you love movies with him, and now you can see that there is Andy Garcia that is linked to him. So you think, âhmm, if I like Al Pacino, they are linked in this movie together, maybe thatâs something worth watching today.â With a right click, you can instantly access more information about the movie, and watch a trailer or buy the movie. So what Iâm saying here is, using ZoomCharts as a core component of visual interface, you can let people discover your content, find something they like, and also buy it or consume it. So itâs not just seeing the big picture, but itâs interacting and consuming. And all of this is happening within one interface.
In the next year, weâre also thinking about expanding the charts to let cross device communication, which would mean that you would go home, take your iPad, open up this software, and when you find a movie that you want to watch, you would click âbuyâ or âwatchâ, and it would start playing on your TV. So, devices would be cross linked through using the ZoomCharts interface.
This chart comes with extensive API so you can apply different filters to the data. For instance, in this particular example, we have applied this IMDb filter here, so if youâre really are not looking at anything below 9, you can click on 9 and see that there are not that many movies within this subset. If you are not that kind of person, you can put the star limit to something smaller, and movies appear.
Another interesting aspect is the time machine within which you can filter out movies that are very old, or on the other hand, you can focus on movies that are contemporary. All of that can be easily configured for your application, for your customers, for your product, as you need it. You can style any aspect of your charts with pictures line, arrows.
Many companies, among which is Hewlett-Packard from the United States have already found usage for their cloud solutions to visualize all sorts of different things.
If you go to our webpage you can see other examples of ways you can use our charts. Our charts can be cross combined in very interesting ways. What you see here is Juliaâs social network and who her friends are. You can play around with the network and expand and see what other people are there in real time, but when you click again on Julia, a pie chart pops up and says what social networks Julia is using most. So in this user interface, we are already combining a lot of data that is easily accessible with just a few taps. And it doesnât stop there. So, she loves Facebook. We can click on Facebook, and the second level of the pie chart comes up. There can be unlimited levels. The second level shows which tags she is using within that social network. So now we know that Julia loves Facebook, and within Facebook, she loves to talk about love. Another thing you can do is click on Love, and you get this interactive time chart that says when exactly she is talking about love on Facebook.
In the close future, in a year or two, we are looking forward to integrating support for a number of new human-machine interfaces that are emerging. We are also looking forward to integrating voice control into our charts so you can easily zoom in, zoom out or do other sorts of navigational things.
There are many new chart types coming up, such as the GeoChart, which will let you easily put those interactive pie charts on a map so you can display different statistics for people within one chart.
We are also looking forward to creating a bunch of cloud services that would enable cross chart communication on the one hand, and other things that Iâm not really allowed to tell you now, but there will be some big things that you will hear about.
What is good is availability. As I mentioned before, the software is already available to download on our webpage. You can easily get a 30 day free trial to just play around with it. We are giving away free licenses also for non commercial projects, for students, for charities. But if you have a commercial project you would still need to obtain a developer license.
Check out ZoomCharts products:
Network Chart
Big network exploration
Explore linked data sets. Highlight relevant data with dynamic filters and visual styles. Incremental data loading. Exploration with focus nodes.
Time Chart
Time navigation and exploration tool
Browse activity logs, select time ranges. Multiple data series and value axes. Switch between time units.
Pie Chart
Amazingly intuitive hierarchical data exploration
Get quick overview of your data and drill down when necessary. All in a single easy to use chart.
Facet Chart
Scrollable bar chart with drill-down
Compare values side by side and provide easy access to the long tail.
ZoomCharts
The worldâs most interactive data visualization software
#zoomcharts #interactive #data #datavisualization #charts #graphs #bigdata #dataviz #CEO #cofounder #JanisVolbergs #Latvia #UI #UX #userexperience #userinterface #SDK #GIT #visualization #iPad #iPhone #network #facet #piechart #timechart #IMDb #AlPacino #AndyGarcia #myinstabank #Facebook #love #API #HP #HewlettPackard #freetrial
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.
To what extent can media companies employ predictive analytics and other data driven approaches to improve content performance? This event, organized by NYC Media Lab and hosted by Bloomberg on February 25, fused short 5 minute presentations and discussion from startups, media companies and university researchers advancing the state of the art in a variety show intended to provoke discussion and debate on opportunities in this fast-moving field of interest.
Speakers included Brian Eoff, Lead Data Scientist, bitly; Ky Harlin, Director, Data Science, BuzzFeed; Mor Naaman, Associate Professor, Cornell Tech and Co-founder and Chief Scientist, Seen.co; Simon Smith, Senior Vice President, Platforms, News Corp; Joshua Schwartz, Lead Data Scientist, Chartbeat.com; and Lisa Strausfeld, Global Head of Data Visualization, Bloomberg LP.
Photos by Yang Jiang.
Learn more about NYC Media Lab at www.nycmedialab.org.