�ݺ�ߣshows by User: CarlAnderson4

�ݺ�ߣshows by User: CarlAnderson4 / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: CarlAnderson4 / Fri, 20 Sep 2019 11:58:39 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: CarlAnderson4 Inspiring healthy habits: data science at WW /slideshow/inspiring-healthy-habits-data-science-at-ww/174148505 carlandersonhealthrecsys2019-190920115839
Talk given at HealthRecSys workshop at RecSys, Copenhagen, 2019-09-20 Our purpose at WW (the new Weight Watchers) is to "inspire healthy habits for real life. For people, families, communities, the world - for everyone." For 56 years, we’ve been a leader in weight loss. Now, however, our mission is bigger and broader: drive health and wellness, making healthy habits accessible to all, not just a few. The question is, how do you deliver on that? Humans are notoriously fickle, stubborn, and irrational. They don’t always do what is in their best interests. Moreover, behavioral change and habit forming is genuinely hard. It is all too easy to skip going to the gym, to resist that extra cookie, or to take time for yourself and reduce stress. In this session, we’ll discuss what’s involved in behavioral change and nudges, and how the WW data science team are working on personalized experiences, various recommenders, and other data products at scale to aid our members’ success.]]>
Talk given at HealthRecSys workshop at RecSys, Copenhagen, 2019-09-20 Our purpose at WW (the new Weight Watchers) is to "inspire healthy habits for real life. For people, families, communities, the world - for everyone." For 56 years, we’ve been a leader in weight loss. Now, however, our mission is bigger and broader: drive health and wellness, making healthy habits accessible to all, not just a few. The question is, how do you deliver on that? Humans are notoriously fickle, stubborn, and irrational. They don’t always do what is in their best interests. Moreover, behavioral change and habit forming is genuinely hard. It is all too easy to skip going to the gym, to resist that extra cookie, or to take time for yourself and reduce stress. In this session, we’ll discuss what’s involved in behavioral change and nudges, and how the WW data science team are working on personalized experiences, various recommenders, and other data products at scale to aid our members’ success.]]> Fri, 20 Sep 2019 11:58:39 GMT /slideshow/inspiring-healthy-habits-data-science-at-ww/174148505 CarlAnderson4@slideshare.net(CarlAnderson4) Inspiring healthy habits: data science at WW CarlAnderson4 Talk given at HealthRecSys workshop at RecSys, Copenhagen, 2019-09-20 Our purpose at WW (the new Weight Watchers) is to "inspire healthy habits for real life. For people, families, communities, the world - for everyone." For 56 years, we’ve been a leader in weight loss. Now, however, our mission is bigger and broader: drive health and wellness, making healthy habits accessible to all, not just a few. The question is, how do you deliver on that? Humans are notoriously fickle, stubborn, and irrational. They don’t always do what is in their best interests. Moreover, behavioral change and habit forming is genuinely hard. It is all too easy to skip going to the gym, to resist that extra cookie, or to take time for yourself and reduce stress. In this session, we’ll discuss what’s involved in behavioral change and nudges, and how the WW data science team are working on personalized experiences, various recommenders, and other data products at scale to aid our members’ success. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/carlandersonhealthrecsys2019-190920115839-thumbnail.jpg?width=120&height=120&fit=bounds" /> Talk given at HealthRecSys workshop at RecSys, Copenhagen, 2019-09-20 Our purpose at WW (the new Weight Watchers) is to "inspire healthy habits for real life. For people, families, communities, the world - for everyone." For 56 years, we’ve been a leader in weight loss. Now, however, our mission is bigger and broader: drive health and wellness, making healthy habits accessible to all, not just a few. The question is, how do you deliver on that? Humans are notoriously fickle, stubborn, and irrational. They don’t always do what is in their best interests. Moreover, behavioral change and habit forming is genuinely hard. It is all too easy to skip going to the gym, to resist that extra cookie, or to take time for yourself and reduce stress. In this session, we’ll discuss what’s involved in behavioral change and nudges, and how the WW data science team are working on personalized experiences, various recommenders, and other data products at scale to aid our members’ success.

Inspiring healthy habits: data science at WW from Carl Anderson

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0 Leveraging an in-house modeling framework for fun and profit /slideshow/leveraging-an-inhouse-modeling-framework-for-fun-and-profit/151086214 wwrecsysnyc-190621122613
Talk given by Mike Skarlinski and Brian Graham from WW (new Weight Watchers) data science team in 5th NYC RecSys meetup, June 20, 2019, hosted at WW HQ]]>
Talk given by Mike Skarlinski and Brian Graham from WW (new Weight Watchers) data science team in 5th NYC RecSys meetup, June 20, 2019, hosted at WW HQ]]> Fri, 21 Jun 2019 12:26:13 GMT /slideshow/leveraging-an-inhouse-modeling-framework-for-fun-and-profit/151086214 CarlAnderson4@slideshare.net(CarlAnderson4) Leveraging an in-house modeling framework for fun and profit CarlAnderson4 Talk given by Mike Skarlinski and Brian Graham from WW (new Weight Watchers) data science team in 5th NYC RecSys meetup, June 20, 2019, hosted at WW HQ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/wwrecsysnyc-190621122613-thumbnail.jpg?width=120&height=120&fit=bounds" /> Talk given by Mike Skarlinski and Brian Graham from WW (new Weight Watchers) data science team in 5th NYC RecSys meetup, June 20, 2019, hosted at WW HQ

Leveraging an in-house modeling framework for fun and profit from Carl Anderson

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0 Data Quality: principles, approaches, and best practices /slideshow/data-quality-principles-approaches-and-best-practices/150289623 bigdatatorontocarl-190618024848
Presentation given at Big Data Toronto, 2019]]>
Presentation given at Big Data Toronto, 2019]]> Tue, 18 Jun 2019 02:48:48 GMT /slideshow/data-quality-principles-approaches-and-best-practices/150289623 CarlAnderson4@slideshare.net(CarlAnderson4) Data Quality: principles, approaches, and best practices CarlAnderson4 Presentation given at Big Data Toronto, 2019 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bigdatatorontocarl-190618024848-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation given at Big Data Toronto, 2019

Data Quality: principles, approaches, and best practices from Carl Anderson

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0 Setting up Data Science for Success: The Data Layer /slideshow/setting-up-data-science-for-success-the-data-layer/107483304 carlandersonmetisddspresentation2018-180725181312
Presentation given at Demystifying Data Science (July 25, 2018)]]>
Presentation given at Demystifying Data Science (July 25, 2018)]]> Wed, 25 Jul 2018 18:13:12 GMT /slideshow/setting-up-data-science-for-success-the-data-layer/107483304 CarlAnderson4@slideshare.net(CarlAnderson4) Setting up Data Science for Success: The Data Layer CarlAnderson4 Presentation given at Demystifying Data Science (July 25, 2018) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/carlandersonmetisddspresentation2018-180725181312-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation given at Demystifying Data Science (July 25, 2018)

Setting up Data Science for Success: The Data Layer from Carl Anderson

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0 Geo@Work, keynote from Carto Spatial Data Science conference /slideshow/geowork-keynote-from-carto-spatial-data-science-conference/86599800 cartosdsslides1-180123205003
Keynote given at Carto Spatial Data Science conference (https://carto.com/spatial-data-conference/), December 1, 2017. How and why is location intelligence important at WeWork? A global provider of flexible work space, WeWork is growing at an incredible pace. With 178 locations in 53 cities and 18 countries, and doubling each year, and taking on decade+ leases, it is crucial that we take site selection seriously. In this talk, we’ll cover our initial efforts to bring geospatial thinking, tooling, and predictive models to the organization. We’ll cover some use cases, models, as well as some of the challenges of tackling geocentric data science at global scale.]]>
Keynote given at Carto Spatial Data Science conference (https://carto.com/spatial-data-conference/), December 1, 2017. How and why is location intelligence important at WeWork? A global provider of flexible work space, WeWork is growing at an incredible pace. With 178 locations in 53 cities and 18 countries, and doubling each year, and taking on decade+ leases, it is crucial that we take site selection seriously. In this talk, we’ll cover our initial efforts to bring geospatial thinking, tooling, and predictive models to the organization. We’ll cover some use cases, models, as well as some of the challenges of tackling geocentric data science at global scale.]]> Tue, 23 Jan 2018 20:50:03 GMT /slideshow/geowork-keynote-from-carto-spatial-data-science-conference/86599800 CarlAnderson4@slideshare.net(CarlAnderson4) Geo@Work, keynote from Carto Spatial Data Science conference CarlAnderson4 Keynote given at Carto Spatial Data Science conference (https://carto.com/spatial-data-conference/), December 1, 2017. How and why is location intelligence important at WeWork? A global provider of flexible work space, WeWork is growing at an incredible pace. With 178 locations in 53 cities and 18 countries, and doubling each year, and taking on decade+ leases, it is crucial that we take site selection seriously. In this talk, we’ll cover our initial efforts to bring geospatial thinking, tooling, and predictive models to the organization. We’ll cover some use cases, models, as well as some of the challenges of tackling geocentric data science at global scale. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cartosdsslides1-180123205003-thumbnail.jpg?width=120&height=120&fit=bounds" /> Keynote given at Carto Spatial Data Science conference (https://carto.com/spatial-data-conference/), December 1, 2017. How and why is location intelligence important at WeWork? A global provider of flexible work space, WeWork is growing at an incredible pace. With 178 locations in 53 cities and 18 countries, and doubling each year, and taking on decade+ leases, it is crucial that we take site selection seriously. In this talk, we’ll cover our initial efforts to bring geospatial thinking, tooling, and predictive models to the organization. We’ll cover some use cases, models, as well as some of the challenges of tackling geocentric data science at global scale.

Geo@Work, keynote from Carto Spatial Data Science conference from Carl Anderson

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0 Creating a Data-Driven Organization -- thisismetis meetup /slideshow/creating-a-datadriven-organization-thisismetis-meetup/69938025 carlandersonddometis-161208034811
Talk given at thisismetis meetup on 12/7/16 https://www.meetup.com/Metis-New-York-Data-Science/events/235887724/]]>
Talk given at thisismetis meetup on 12/7/16 https://www.meetup.com/Metis-New-York-Data-Science/events/235887724/]]> Thu, 08 Dec 2016 03:48:11 GMT /slideshow/creating-a-datadriven-organization-thisismetis-meetup/69938025 CarlAnderson4@slideshare.net(CarlAnderson4) Creating a Data-Driven Organization -- thisismetis meetup CarlAnderson4 Talk given at thisismetis meetup on 12/7/16 https://www.meetup.com/Metis-New-York-Data-Science/events/235887724/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/carlandersonddometis-161208034811-thumbnail.jpg?width=120&height=120&fit=bounds" /> Talk given at thisismetis meetup on 12/7/16 https://www.meetup.com/Metis-New-York-Data-Science/events/235887724/

Creating a Data-Driven Organization -- thisismetis meetup from Carl Anderson

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0 Creating a Data-Driven Organization, Data Day Texas, January 2016 /slideshow/creating-a-datadriven-organization-data-day-texas-january-2016/57082695 carlandersonddoaustin-160115052110
What does it mean for an organization to be data-driven? How does an organization get there? Many organizations think that they are data-driven but the reality is that few genuinely are and that we could all do better. In this talk, I cover what it truly means to be data driven. The answer, it turns out, is not to do with the latest tools and technologies (although they can help) but having an appropriate data culture than spans the whole organization, where data is accessible broadly, embedded into operations and processes, and enables effective decision making. In this presentation, I dissect what an effective data-driven culture entails, covering facets such as data leadership, data literacy, and A/B testing, illustrating concepts with examples from different industries as well as personal experience.]]>
What does it mean for an organization to be data-driven? How does an organization get there? Many organizations think that they are data-driven but the reality is that few genuinely are and that we could all do better. In this talk, I cover what it truly means to be data driven. The answer, it turns out, is not to do with the latest tools and technologies (although they can help) but having an appropriate data culture than spans the whole organization, where data is accessible broadly, embedded into operations and processes, and enables effective decision making. In this presentation, I dissect what an effective data-driven culture entails, covering facets such as data leadership, data literacy, and A/B testing, illustrating concepts with examples from different industries as well as personal experience.]]> Fri, 15 Jan 2016 05:21:10 GMT /slideshow/creating-a-datadriven-organization-data-day-texas-january-2016/57082695 CarlAnderson4@slideshare.net(CarlAnderson4) Creating a Data-Driven Organization, Data Day Texas, January 2016 CarlAnderson4 What does it mean for an organization to be data-driven? How does an organization get there? Many organizations think that they are data-driven but the reality is that few genuinely are and that we could all do better. In this talk, I cover what it truly means to be data driven. The answer, it turns out, is not to do with the latest tools and technologies (although they can help) but having an appropriate data culture than spans the whole organization, where data is accessible broadly, embedded into operations and processes, and enables effective decision making. In this presentation, I dissect what an effective data-driven culture entails, covering facets such as data leadership, data literacy, and A/B testing, illustrating concepts with examples from different industries as well as personal experience. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/carlandersonddoaustin-160115052110-thumbnail.jpg?width=120&height=120&fit=bounds" /> What does it mean for an organization to be data-driven? How does an organization get there? Many organizations think that they are data-driven but the reality is that few genuinely are and that we could all do better. In this talk, I cover what it truly means to be data driven. The answer, it turns out, is not to do with the latest tools and technologies (although they can help) but having an appropriate data culture than spans the whole organization, where data is accessible broadly, embedded into operations and processes, and enables effective decision making. In this presentation, I dissect what an effective data-driven culture entails, covering facets such as data leadership, data literacy, and A/B testing, illustrating concepts with examples from different industries as well as personal experience.

Creating a Data-Driven Organization, Data Day Texas, January 2016 from Carl Anderson

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0 Creating a Data-Driven Organization, Crunchconf, October 2015 /CarlAnderson4/creating-a-datadriven-organization-crunchconf-october-2015 carlandersonddobudapest-151027022634-lva1-app6892
What does it mean for an organization to be data-driven? How does an organization get there? Many organizations think that they are data-driven but the reality is that few genuinely are and that we could all do better. In this talk, I cover what it truly means to be data driven. The answer, it turns out, is not to do with the latest tools and technologies (although they can help) but having an appropriate data culture than spans the whole organization, where data is accessible broadly, embedded into operations and processes, and enables effective decision making. In this presentation, I dissect what an effective data-driven culture entails, covering facets such as data leadership, data literacy, and A/B testing, illustrating concepts with examples from different industries as well as personal experience.]]>
What does it mean for an organization to be data-driven? How does an organization get there? Many organizations think that they are data-driven but the reality is that few genuinely are and that we could all do better. In this talk, I cover what it truly means to be data driven. The answer, it turns out, is not to do with the latest tools and technologies (although they can help) but having an appropriate data culture than spans the whole organization, where data is accessible broadly, embedded into operations and processes, and enables effective decision making. In this presentation, I dissect what an effective data-driven culture entails, covering facets such as data leadership, data literacy, and A/B testing, illustrating concepts with examples from different industries as well as personal experience.]]> Tue, 27 Oct 2015 02:26:34 GMT /CarlAnderson4/creating-a-datadriven-organization-crunchconf-october-2015 CarlAnderson4@slideshare.net(CarlAnderson4) Creating a Data-Driven Organization, Crunchconf, October 2015 CarlAnderson4 What does it mean for an organization to be data-driven? How does an organization get there? Many organizations think that they are data-driven but the reality is that few genuinely are and that we could all do better. In this talk, I cover what it truly means to be data driven. The answer, it turns out, is not to do with the latest tools and technologies (although they can help) but having an appropriate data culture than spans the whole organization, where data is accessible broadly, embedded into operations and processes, and enables effective decision making. In this presentation, I dissect what an effective data-driven culture entails, covering facets such as data leadership, data literacy, and A/B testing, illustrating concepts with examples from different industries as well as personal experience. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/carlandersonddobudapest-151027022634-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds" /> What does it mean for an organization to be data-driven? How does an organization get there? Many organizations think that they are data-driven but the reality is that few genuinely are and that we could all do better. In this talk, I cover what it truly means to be data driven. The answer, it turns out, is not to do with the latest tools and technologies (although they can help) but having an appropriate data culture than spans the whole organization, where data is accessible broadly, embedded into operations and processes, and enables effective decision making. In this presentation, I dissect what an effective data-driven culture entails, covering facets such as data leadership, data literacy, and A/B testing, illustrating concepts with examples from different industries as well as personal experience.

Creating a Data-Driven Organization, Crunchconf, October 2015 from Carl Anderson

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0 Creating a Data-Driven Organization (Data Day Seattle 2015) /CarlAnderson4/ddo-seattle ddoseattle-150627210357-lva1-app6891
My slides about "Creating a Data-Driven Organization" from Data Day Seattle 2015]]>
My slides about "Creating a Data-Driven Organization" from Data Day Seattle 2015]]> Sat, 27 Jun 2015 21:03:57 GMT /CarlAnderson4/ddo-seattle CarlAnderson4@slideshare.net(CarlAnderson4) Creating a Data-Driven Organization (Data Day Seattle 2015) CarlAnderson4 My slides about "Creating a Data-Driven Organization" from Data Day Seattle 2015 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ddoseattle-150627210357-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds" /> My slides about "Creating a Data-Driven Organization" from Data Day Seattle 2015

Creating a Data-Driven Organization (Data Day Seattle 2015) from Carl Anderson

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0 Creating a Data-Driven Organization: an executive summary /CarlAnderson4/ddo-overview ddooverview-150525172413-lva1-app6892
What does it mean for an organization to be data-driven? It is not about having lots of reports and dashboards or big data but having the right data culture. Learn more about that culture in this executive summary of the key findings in Carl Anderson's new book "Creating a Data-Driven Organization" (2015) from O'Reilly Media.]]>
What does it mean for an organization to be data-driven? It is not about having lots of reports and dashboards or big data but having the right data culture. Learn more about that culture in this executive summary of the key findings in Carl Anderson's new book "Creating a Data-Driven Organization" (2015) from O'Reilly Media.]]> Mon, 25 May 2015 17:24:12 GMT /CarlAnderson4/ddo-overview CarlAnderson4@slideshare.net(CarlAnderson4) Creating a Data-Driven Organization: an executive summary CarlAnderson4 What does it mean for an organization to be data-driven? It is not about having lots of reports and dashboards or big data but having the right data culture. Learn more about that culture in this executive summary of the key findings in Carl Anderson's new book "Creating a Data-Driven Organization" (2015) from O'Reilly Media. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ddooverview-150525172413-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds" /> What does it mean for an organization to be data-driven? It is not about having lots of reports and dashboards or big data but having the right data culture. Learn more about that culture in this executive summary of the key findings in Carl Anderson's new book "Creating a Data-Driven Organization" (2015) from O'Reilly Media.

Creating a Data-Driven Organization: an executive summary from Carl Anderson

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0 https://cdn.slidesharecdn.com/profile-photo-CarlAnderson4-48x48.jpg?cb=1705446430 All round "swiss army knife" senior data scientist and researcher. Currently developing machine learning models for geospatial problems as well as algorithms for automated space planning (generative design) in architecture. Not afraid to jump into new domains, having previously worked in areas such as mathematical biology, lossless data compression, e-commerce, and healthcare. Broad set of skills and experience such as machine learning and statistics, agent based models, distributed problem solving and AI, evolutionary computation, and networks and network visualization. Most excited about deep learning's potential. Author of 2015 O'Reilly book "Creating a Data-Driven Organization." www.p-value.info https://cdn.slidesharecdn.com/ss_thumbnails/carlandersonhealthrecsys2019-190920115839-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/inspiring-healthy-habits-data-science-at-ww/174148505 Inspiring healthy habi... https://cdn.slidesharecdn.com/ss_thumbnails/wwrecsysnyc-190621122613-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/leveraging-an-inhouse-modeling-framework-for-fun-and-profit/151086214 Leveraging an in-house... https://cdn.slidesharecdn.com/ss_thumbnails/bigdatatorontocarl-190618024848-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/data-quality-principles-approaches-and-best-practices/150289623 Data Quality: principl...