�ݺ�ߣshows by User: pythonpredictions

�ݺ�ߣshows by User: pythonpredictions / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: pythonpredictions / Fri, 12 Feb 2021 13:43:04 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: pythonpredictions AI inspiration session in HR /slideshow/ai-inspiration-session-in-hr/242626420 aiinspirationsessioninhr-210212134305
�ݺ�ߣs of a very short inspiration session of the use of AI in an HR context for Agoria, Feb 12 2021. In this session, we described our collaboration with SD Worx on using algorithms to reduce absenteeism. We explained how some of the most powerful AI applications have clear value in an HR context. We showed the highlights of our success cases with SD Worx, where we used Predictive Analytics and Segmentation techniques to predict, understand and reduce future employee absenteeism.]]>
�ݺ�ߣs of a very short inspiration session of the use of AI in an HR context for Agoria, Feb 12 2021. In this session, we described our collaboration with SD Worx on using algorithms to reduce absenteeism. We explained how some of the most powerful AI applications have clear value in an HR context. We showed the highlights of our success cases with SD Worx, where we used Predictive Analytics and Segmentation techniques to predict, understand and reduce future employee absenteeism.]]> Fri, 12 Feb 2021 13:43:04 GMT /slideshow/ai-inspiration-session-in-hr/242626420 pythonpredictions@slideshare.net(pythonpredictions) AI inspiration session in HR pythonpredictions �ݺ�ߣs of a very short inspiration session of the use of AI in an HR context for Agoria, Feb 12 2021. In this session, we described our collaboration with SD Worx on using algorithms to reduce absenteeism. We explained how some of the most powerful AI applications have clear value in an HR context. We showed the highlights of our success cases with SD Worx, where we used Predictive Analytics and Segmentation techniques to predict, understand and reduce future employee absenteeism. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/aiinspirationsessioninhr-210212134305-thumbnail.jpg?width=120&height=120&fit=bounds" /> �ݺ�ߣs of a very short inspiration session of the use of AI in an HR context for Agoria, Feb 12 2021. In this session, we described our collaboration with SD Worx on using algorithms to reduce absenteeism. We explained how some of the most powerful AI applications have clear value in an HR context. We showed the highlights of our success cases with SD Worx, where we used Predictive Analytics and Segmentation techniques to predict, understand and reduce future employee absenteeism.

AI inspiration session in HR from Python Predictions

]]> 417 0 https://cdn.slidesharecdn.com/ss_thumbnails/aiinspirationsessioninhr-210212134305-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 Long live customer segmentation at Delhaize /slideshow/long-live-customer-segmentation-at-delhaize-181424082/181424082 belgiandigitalchampions-delhaizeandpythonpredictions-explanation-191012202248
While everyone is talking about AI and hyperpersonalisation, customer segmentation might sound ‘old school’. But on the contrary: Segmentation is back, and is here to stay! In this talk, we show how we combined segmentation and machine learning (prediction) to enable personalised campaigns towards the entire customer base at Delhaize.]]>
While everyone is talking about AI and hyperpersonalisation, customer segmentation might sound ‘old school’. But on the contrary: Segmentation is back, and is here to stay! In this talk, we show how we combined segmentation and machine learning (prediction) to enable personalised campaigns towards the entire customer base at Delhaize.]]> Sat, 12 Oct 2019 20:22:48 GMT /slideshow/long-live-customer-segmentation-at-delhaize-181424082/181424082 pythonpredictions@slideshare.net(pythonpredictions) Long live customer segmentation at Delhaize pythonpredictions While everyone is talking about AI and hyperpersonalisation, customer segmentation might sound ‘old school’. But on the contrary: Segmentation is back, and is here to stay! In this talk, we show how we combined segmentation and machine learning (prediction) to enable personalised campaigns towards the entire customer base at Delhaize. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/belgiandigitalchampions-delhaizeandpythonpredictions-explanation-191012202248-thumbnail.jpg?width=120&height=120&fit=bounds" /> While everyone is talking about AI and hyperpersonalisation, customer segmentation might sound ‘old school’. But on the contrary: Segmentation is back, and is here to stay! In this talk, we show how we combined segmentation and machine learning (prediction) to enable personalised campaigns towards the entire customer base at Delhaize.

Long live customer segmentation at Delhaize from Python Predictions

]]> 6241 9 https://cdn.slidesharecdn.com/ss_thumbnails/belgiandigitalchampions-delhaizeandpythonpredictions-explanation-191012202248-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post

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0 Can algorithms help to reduce absenteeism /slideshow/can-algorithms-help-to-reduce-absenteeism/178769625 tecfinal-canalgorithmshelptoreduceabsenteeismslideshare-191003122723
On October 2nd, Peter Beeusaert of SD Worx and Pieter Van Bouwel of Python Predictions shared our collaboration on Intuo.io’s Talent Enablement Conference. In this presentation, they explained how some of the most powerful data science applications have clear value in an HR context. They discussed a recent joint use case ‘How data science can segment your employees to propose differentiated absenteeism treatment’ to demonstrate how bringing together data science and HR experts can improve and facilitate HR decision making.]]>
On October 2nd, Peter Beeusaert of SD Worx and Pieter Van Bouwel of Python Predictions shared our collaboration on Intuo.io’s Talent Enablement Conference. In this presentation, they explained how some of the most powerful data science applications have clear value in an HR context. They discussed a recent joint use case ‘How data science can segment your employees to propose differentiated absenteeism treatment’ to demonstrate how bringing together data science and HR experts can improve and facilitate HR decision making.]]> Thu, 03 Oct 2019 12:27:23 GMT /slideshow/can-algorithms-help-to-reduce-absenteeism/178769625 pythonpredictions@slideshare.net(pythonpredictions) Can algorithms help to reduce absenteeism pythonpredictions On October 2nd, Peter Beeusaert of SD Worx and Pieter Van Bouwel of Python Predictions shared our collaboration on Intuo.io’s Talent Enablement Conference. In this presentation, they explained how some of the most powerful data science applications have clear value in an HR context. They discussed a recent joint use case ‘How data science can segment your employees to propose differentiated absenteeism treatment’ to demonstrate how bringing together data science and HR experts can improve and facilitate HR decision making. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/tecfinal-canalgorithmshelptoreduceabsenteeismslideshare-191003122723-thumbnail.jpg?width=120&height=120&fit=bounds" /> On October 2nd, Peter Beeusaert of SD Worx and Pieter Van Bouwel of Python Predictions shared our collaboration on Intuo.io’s Talent Enablement Conference. In this presentation, they explained how some of the most powerful data science applications have clear value in an HR context. They discussed a recent joint use case ‘How data science can segment your employees to propose differentiated absenteeism treatment’ to demonstrate how bringing together data science and HR experts can improve and facilitate HR decision making.

Can algorithms help to reduce absenteeism from Python Predictions

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0 Project definition workshop #disummit 2019 /slideshow/project-definition-workshop-disummit-2019-152046613/152046613 projectdefinitionworkshop-disummit2019-190626191235
�ݺ�ߣs of the project definition workshop at disummit June 26, 2019 . We're all caught in the AI hype - and I daily meet AI enthousiasts who focus heavily on technology, cool algorithms on a modern infrastructure. And business leaders who dream AI will solve our problems automagically. While dreaming and innovating is cool, modern and exciting, such focus typically increases business impact only marginally. The best way to increase impact, is having the project definition right. In this workshop, you'll walk away with a "Project definition checklist " - an exhausitive list of issues you want to understand before you start building your algorithms. Throughout the years this has proved to be a useful asset for junior data scientists, (aspiring) data science managers and (project) management.]]>
�ݺ�ߣs of the project definition workshop at disummit June 26, 2019 . We're all caught in the AI hype - and I daily meet AI enthousiasts who focus heavily on technology, cool algorithms on a modern infrastructure. And business leaders who dream AI will solve our problems automagically. While dreaming and innovating is cool, modern and exciting, such focus typically increases business impact only marginally. The best way to increase impact, is having the project definition right. In this workshop, you'll walk away with a "Project definition checklist " - an exhausitive list of issues you want to understand before you start building your algorithms. Throughout the years this has proved to be a useful asset for junior data scientists, (aspiring) data science managers and (project) management.]]> Wed, 26 Jun 2019 19:12:35 GMT /slideshow/project-definition-workshop-disummit-2019-152046613/152046613 pythonpredictions@slideshare.net(pythonpredictions) Project definition workshop #disummit 2019 pythonpredictions �ݺ�ߣs of the project definition workshop at disummit June 26, 2019 . We're all caught in the AI hype - and I daily meet AI enthousiasts who focus heavily on technology, cool algorithms on a modern infrastructure. And business leaders who dream AI will solve our problems automagically. While dreaming and innovating is cool, modern and exciting, such focus typically increases business impact only marginally. The best way to increase impact, is having the project definition right. In this workshop, you'll walk away with a "Project definition checklist " - an exhausitive list of issues you want to understand before you start building your algorithms. Throughout the years this has proved to be a useful asset for junior data scientists, (aspiring) data science managers and (project) management. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/projectdefinitionworkshop-disummit2019-190626191235-thumbnail.jpg?width=120&height=120&fit=bounds" /> �ݺ�ߣs of the project definition workshop at disummit June 26, 2019 . We're all caught in the AI hype - and I daily meet AI enthousiasts who focus heavily on technology, cool algorithms on a modern infrastructure. And business leaders who dream AI will solve our problems automagically. While dreaming and innovating is cool, modern and exciting, such focus typically increases business impact only marginally. The best way to increase impact, is having the project definition right. In this workshop, you'll walk away with a "Project definition checklist " - an exhausitive list of issues you want to understand before you start building your algorithms. Throughout the years this has proved to be a useful asset for junior data scientists, (aspiring) data science managers and (project) management.

Project definition workshop #disummit 2019 from Python Predictions

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0 From a needs-based segmentation to customer relevancy /slideshow/from-a-needsbased-segmentation-to-customer-relevancy/124769957 20181123datasummit-enecopythonpredictions-181203112337
In this presentation, Eneco illustrated their journey towards being more relevant to customers. It’s a hands-on testimony about how survey data can be used for predicting (individual) customers' needs, how you can get involvement from business around such a project and how the results are being used today to better serve customers. Put differently, how to create personas in a data driven way, and make sure data and data science have concrete impact - in this case churn reduction. Joint presentation by Roel Verdickt, Strategic Insights leader at Eneco Belgium and Jan Muermans, Senior Analytics Consultant at Python Predictions, a Brussels-based service provider specialized in data science projects with impact. Presented on Nov 23, 2018 at the Data and Marketing Automation Summit in Brussels]]>
In this presentation, Eneco illustrated their journey towards being more relevant to customers. It’s a hands-on testimony about how survey data can be used for predicting (individual) customers' needs, how you can get involvement from business around such a project and how the results are being used today to better serve customers. Put differently, how to create personas in a data driven way, and make sure data and data science have concrete impact - in this case churn reduction. Joint presentation by Roel Verdickt, Strategic Insights leader at Eneco Belgium and Jan Muermans, Senior Analytics Consultant at Python Predictions, a Brussels-based service provider specialized in data science projects with impact. Presented on Nov 23, 2018 at the Data and Marketing Automation Summit in Brussels]]> Mon, 03 Dec 2018 11:23:37 GMT /slideshow/from-a-needsbased-segmentation-to-customer-relevancy/124769957 pythonpredictions@slideshare.net(pythonpredictions) From a needs-based segmentation to customer relevancy pythonpredictions In this presentation, Eneco illustrated their journey towards being more relevant to customers. It’s a hands-on testimony about how survey data can be used for predicting (individual) customers' needs, how you can get involvement from business around such a project and how the results are being used today to better serve customers. Put differently, how to create personas in a data driven way, and make sure data and data science have concrete impact - in this case churn reduction. Joint presentation by Roel Verdickt, Strategic Insights leader at Eneco Belgium and Jan Muermans, Senior Analytics Consultant at Python Predictions, a Brussels-based service provider specialized in data science projects with impact. Presented on Nov 23, 2018 at the Data and Marketing Automation Summit in Brussels <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20181123datasummit-enecopythonpredictions-181203112337-thumbnail.jpg?width=120&height=120&fit=bounds" /> In this presentation, Eneco illustrated their journey towards being more relevant to customers. It’s a hands-on testimony about how survey data can be used for predicting (individual) customers' needs, how you can get involvement from business around such a project and how the results are being used today to better serve customers. Put differently, how to create personas in a data driven way, and make sure data and data science have concrete impact - in this case churn reduction. Joint presentation by Roel Verdickt, Strategic Insights leader at Eneco Belgium and Jan Muermans, Senior Analytics Consultant at Python Predictions, a Brussels-based service provider specialized in data science projects with impact. Presented on Nov 23, 2018 at the Data and Marketing Automation Summit in Brussels

From a needs-based segmentation to customer relevancy from Python Predictions

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0 The pivotal power of data science - Influencing the business model of a media startup /slideshow/the-pivotal-power-of-data-science-influencing-the-business-model-of-a-media-startup-120562400/120562400 accurat-pythonpredictions-thepivotalpowerofdatascience-181024132321
�ݺ�ߣs of our presentation at Digital First, October 18, 2018, Brussels https://www.digitalfirst.be/day2-2#dayres When a startup turned to Python Predictions for their data science help, no one expected the outcome to be so impactful. The data the startups' MVP produced was the basis for an exploratory data science exercise which led to a pivotal moment of the startup early on in their business model definition. Accurat today is the result of a drastical change in approach of both the business segment and the value proposition, fed by the insights that data science revealed. In this session Bart Muskala, Accurat's founder and Geert Verstraeten, managing partner at Python Predictions outline the briefing, the approach, the insights and the impact data science had.]]>
�ݺ�ߣs of our presentation at Digital First, October 18, 2018, Brussels https://www.digitalfirst.be/day2-2#dayres When a startup turned to Python Predictions for their data science help, no one expected the outcome to be so impactful. The data the startups' MVP produced was the basis for an exploratory data science exercise which led to a pivotal moment of the startup early on in their business model definition. Accurat today is the result of a drastical change in approach of both the business segment and the value proposition, fed by the insights that data science revealed. In this session Bart Muskala, Accurat's founder and Geert Verstraeten, managing partner at Python Predictions outline the briefing, the approach, the insights and the impact data science had.]]> Wed, 24 Oct 2018 13:23:21 GMT /slideshow/the-pivotal-power-of-data-science-influencing-the-business-model-of-a-media-startup-120562400/120562400 pythonpredictions@slideshare.net(pythonpredictions) The pivotal power of data science - Influencing the business model of a media startup pythonpredictions �ݺ�ߣs of our presentation at Digital First, October 18, 2018, Brussels https://www.digitalfirst.be/day2-2#dayres When a startup turned to Python Predictions for their data science help, no one expected the outcome to be so impactful. The data the startups' MVP produced was the basis for an exploratory data science exercise which led to a pivotal moment of the startup early on in their business model definition. Accurat today is the result of a drastical change in approach of both the business segment and the value proposition, fed by the insights that data science revealed. In this session Bart Muskala, Accurat's founder and Geert Verstraeten, managing partner at Python Predictions outline the briefing, the approach, the insights and the impact data science had. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/accurat-pythonpredictions-thepivotalpowerofdatascience-181024132321-thumbnail.jpg?width=120&height=120&fit=bounds" /> �ݺ�ߣs of our presentation at Digital First, October 18, 2018, Brussels https://www.digitalfirst.be/day2-2#dayres When a startup turned to Python Predictions for their data science help, no one expected the outcome to be so impactful. The data the startups' MVP produced was the basis for an exploratory data science exercise which led to a pivotal moment of the startup early on in their business model definition. Accurat today is the result of a drastical change in approach of both the business segment and the value proposition, fed by the insights that data science revealed. In this session Bart Muskala, Accurat's founder and Geert Verstraeten, managing partner at Python Predictions outline the briefing, the approach, the insights and the impact data science had.

The pivotal power of data science - Influencing the business model of a media startup from Python Predictions

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0 Data science explained in 10 applications /slideshow/data-science-explained-in-10-applications-105175288/105175288 datascienceexplainedin10applications-180710150948
�ݺ�ߣ notes of an interactive workshop at the Brussels Data Innovation Summit 2018. In this workshop for management and aspiring data scientists, we have briefly covered 10 key Data Science applications. For each application, we described what the application is about, and illustrated this with vivid example. As a bonus, we explained how we use such slides and workshops to inspire clients and prospects on generating their ideas to harvest innovative data science projects internally.]]>
�ݺ�ߣ notes of an interactive workshop at the Brussels Data Innovation Summit 2018. In this workshop for management and aspiring data scientists, we have briefly covered 10 key Data Science applications. For each application, we described what the application is about, and illustrated this with vivid example. As a bonus, we explained how we use such slides and workshops to inspire clients and prospects on generating their ideas to harvest innovative data science projects internally.]]> Tue, 10 Jul 2018 15:09:48 GMT /slideshow/data-science-explained-in-10-applications-105175288/105175288 pythonpredictions@slideshare.net(pythonpredictions) Data science explained in 10 applications pythonpredictions �ݺ�ߣ notes of an interactive workshop at the Brussels Data Innovation Summit 2018. In this workshop for management and aspiring data scientists, we have briefly covered 10 key Data Science applications. For each application, we described what the application is about, and illustrated this with vivid example. As a bonus, we explained how we use such slides and workshops to inspire clients and prospects on generating their ideas to harvest innovative data science projects internally. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/datascienceexplainedin10applications-180710150948-thumbnail.jpg?width=120&height=120&fit=bounds" /> �ݺ�ߣ notes of an interactive workshop at the Brussels Data Innovation Summit 2018. In this workshop for management and aspiring data scientists, we have briefly covered 10 key Data Science applications. For each application, we described what the application is about, and illustrated this with vivid example. As a bonus, we explained how we use such slides and workshops to inspire clients and prospects on generating their ideas to harvest innovative data science projects internally.

Data science explained in 10 applications from Python Predictions

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0 Teaser Lingerie Recommendations with Van de Velde - Data Innovation Summit 2018 - Brussels /slideshow/teaser-lingerie-recommendations-with-van-de-velde-data-innovation-summit-2018-brussels-101884075/101884075 recommendersystems-vandevelde-180611090837
Teaser and some slides for the presentation by Kevin Heyman, Data Scientist at Van de Velde and Nele Verbiest, Data Scientist at Python Predictions at Data Innovation Summit, June 27, 2018, Brussels. In this story, Kevin and Nele explain how they have build a recommendation engine to predict your next lingerie purchase]]>
Teaser and some slides for the presentation by Kevin Heyman, Data Scientist at Van de Velde and Nele Verbiest, Data Scientist at Python Predictions at Data Innovation Summit, June 27, 2018, Brussels. In this story, Kevin and Nele explain how they have build a recommendation engine to predict your next lingerie purchase]]> Mon, 11 Jun 2018 09:08:37 GMT /slideshow/teaser-lingerie-recommendations-with-van-de-velde-data-innovation-summit-2018-brussels-101884075/101884075 pythonpredictions@slideshare.net(pythonpredictions) Teaser Lingerie Recommendations with Van de Velde - Data Innovation Summit 2018 - Brussels pythonpredictions Teaser and some slides for the presentation by Kevin Heyman, Data Scientist at Van de Velde and Nele Verbiest, Data Scientist at Python Predictions at Data Innovation Summit, June 27, 2018, Brussels. In this story, Kevin and Nele explain how they have build a recommendation engine to predict your next lingerie purchase <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/recommendersystems-vandevelde-180611090837-thumbnail.jpg?width=120&height=120&fit=bounds" /> Teaser and some slides for the presentation by Kevin Heyman, Data Scientist at Van de Velde and Nele Verbiest, Data Scientist at Python Predictions at Data Innovation Summit, June 27, 2018, Brussels. In this story, Kevin and Nele explain how they have build a recommendation engine to predict your next lingerie purchase

Teaser Lingerie Recommendations with Van de Velde - Data Innovation Summit 2018 - Brussels from Python Predictions

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0 Python Predictions: Core applications and services /slideshow/python-predictions-core-applications-and-services/91290672 applicationsandservices-core-180320111657
Core activities at Python Predictions include data science, predictive analytics & machine learning, customer segmentation, recommendation engines, process mining, forecasting and industrialisation]]>
Core activities at Python Predictions include data science, predictive analytics & machine learning, customer segmentation, recommendation engines, process mining, forecasting and industrialisation]]> Tue, 20 Mar 2018 11:16:57 GMT /slideshow/python-predictions-core-applications-and-services/91290672 pythonpredictions@slideshare.net(pythonpredictions) Python Predictions: Core applications and services pythonpredictions Core activities at Python Predictions include data science, predictive analytics & machine learning, customer segmentation, recommendation engines, process mining, forecasting and industrialisation <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/applicationsandservices-core-180320111657-thumbnail.jpg?width=120&height=120&fit=bounds" /> Core activities at Python Predictions include data science, predictive analytics & machine learning, customer segmentation, recommendation engines, process mining, forecasting and industrialisation

Python Predictions: Core applications and services from Python Predictions

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0 Python Predictions: Innovation /slideshow/python-predictions-innovation/91290418 applicationsandservices-innovation-180320111219
innovation projects at Python Predictions are usually projects of an explorative nature, taking into account new sources and formats such as text, images, audio, video, location, networks, sensors,…and new algorithms, new analytical methodologies and new technology]]>
innovation projects at Python Predictions are usually projects of an explorative nature, taking into account new sources and formats such as text, images, audio, video, location, networks, sensors,…and new algorithms, new analytical methodologies and new technology]]> Tue, 20 Mar 2018 11:12:19 GMT /slideshow/python-predictions-innovation/91290418 pythonpredictions@slideshare.net(pythonpredictions) Python Predictions: Innovation pythonpredictions innovation projects at Python Predictions are usually projects of an explorative nature, taking into account new sources and formats such as text, images, audio, video, location, networks, sensors,…and new algorithms, new analytical methodologies and new technology <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/applicationsandservices-innovation-180320111219-thumbnail.jpg?width=120&height=120&fit=bounds" /> innovation projects at Python Predictions are usually projects of an explorative nature, taking into account new sources and formats such as text, images, audio, video, location, networks, sensors,…and new algorithms, new analytical methodologies and new technology

Python Predictions: Innovation from Python Predictions

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0 Python Predictions: Training & Coaching offer /slideshow/training-coaching-offerf-python-predictions/91282503 applicationsandservices-trainingcoaching-180320093220
Python Predictions offers analytical roadmaps, training for managers, training for data scientists and coaching for managers and data scientists - in order to help clients succeed in their data science projects]]>
Python Predictions offers analytical roadmaps, training for managers, training for data scientists and coaching for managers and data scientists - in order to help clients succeed in their data science projects]]> Tue, 20 Mar 2018 09:32:20 GMT /slideshow/training-coaching-offerf-python-predictions/91282503 pythonpredictions@slideshare.net(pythonpredictions) Python Predictions: Training & Coaching offer pythonpredictions Python Predictions offers analytical roadmaps, training for managers, training for data scientists and coaching for managers and data scientists - in order to help clients succeed in their data science projects <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/applicationsandservices-trainingcoaching-180320093220-thumbnail.jpg?width=120&height=120&fit=bounds" /> Python Predictions offers analytical roadmaps, training for managers, training for data scientists and coaching for managers and data scientists - in order to help clients succeed in their data science projects

Python Predictions: Training & Coaching offer from Python Predictions

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0 Managing Projects in Predictive Analytics /slideshow/managing-projects-in-predictive-analytics/74508823 managingprojectsinpa-disummit-20170330-170406062254
�ݺ�ߣs of the workshop 'Managing projects in Predictive Analytics at diSummit2017, March 30 2017, ING Marnix, Brussels #disummit #DIS2017 http://www.di-summit.com/]]>
�ݺ�ߣs of the workshop 'Managing projects in Predictive Analytics at diSummit2017, March 30 2017, ING Marnix, Brussels #disummit #DIS2017 http://www.di-summit.com/]]> Thu, 06 Apr 2017 06:22:54 GMT /slideshow/managing-projects-in-predictive-analytics/74508823 pythonpredictions@slideshare.net(pythonpredictions) Managing Projects in Predictive Analytics pythonpredictions �ݺ�ߣs of the workshop 'Managing projects in Predictive Analytics at diSummit2017, March 30 2017, ING Marnix, Brussels #disummit #DIS2017 http://www.di-summit.com/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/managingprojectsinpa-disummit-20170330-170406062254-thumbnail.jpg?width=120&height=120&fit=bounds" /> �ݺ�ߣs of the workshop 'Managing projects in Predictive Analytics at diSummit2017, March 30 2017, ING Marnix, Brussels #disummit #DIS2017 http://www.di-summit.com/

Managing Projects in Predictive Analytics from Python Predictions

]]> 411 2 https://cdn.slidesharecdn.com/ss_thumbnails/managingprojectsinpa-disummit-20170330-170406062254-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post

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0 Predicting employee burnout /slideshow/predicting-emploee-burnout/73852534 predictingabsenteism-vincentvanlookgeertverstraetenwnotes-170329083153
Today, an estimated 8.5% of the Belgian employees are at risk of burnout. This represents a huge potential cost to organizations and a huge personal risk for employees. Together with SD Worx, a large Belgian HR service provider, we succeeded in predicting expected future absenteeism, by combining historical absenteeism with softer measures like evaluations and surveys. At DISummit 2017, we shared the main conclusions of this exciting project, and we offer our view on why we succeeded in this challenge.]]>
Today, an estimated 8.5% of the Belgian employees are at risk of burnout. This represents a huge potential cost to organizations and a huge personal risk for employees. Together with SD Worx, a large Belgian HR service provider, we succeeded in predicting expected future absenteeism, by combining historical absenteeism with softer measures like evaluations and surveys. At DISummit 2017, we shared the main conclusions of this exciting project, and we offer our view on why we succeeded in this challenge.]]> Wed, 29 Mar 2017 08:31:53 GMT /slideshow/predicting-emploee-burnout/73852534 pythonpredictions@slideshare.net(pythonpredictions) Predicting employee burnout pythonpredictions Today, an estimated 8.5% of the Belgian employees are at risk of burnout. This represents a huge potential cost to organizations and a huge personal risk for employees. Together with SD Worx, a large Belgian HR service provider, we succeeded in predicting expected future absenteeism, by combining historical absenteeism with softer measures like evaluations and surveys. At DISummit 2017, we shared the main conclusions of this exciting project, and we offer our view on why we succeeded in this challenge. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/predictingabsenteism-vincentvanlookgeertverstraetenwnotes-170329083153-thumbnail.jpg?width=120&height=120&fit=bounds" /> Today, an estimated 8.5% of the Belgian employees are at risk of burnout. This represents a huge potential cost to organizations and a huge personal risk for employees. Together with SD Worx, a large Belgian HR service provider, we succeeded in predicting expected future absenteeism, by combining historical absenteeism with softer measures like evaluations and surveys. At DISummit 2017, we shared the main conclusions of this exciting project, and we offer our view on why we succeeded in this challenge.

Predicting employee burnout from Python Predictions

]]> 13532 6 https://cdn.slidesharecdn.com/ss_thumbnails/predictingabsenteism-vincentvanlookgeertverstraetenwnotes-170329083153-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post

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0 Process mining - a case by ING Belgium and Python Predictions (update Oct 2016) /slideshow/process-mining-a-case-by-ing-belgium-and-python-predictions-update/67625428 processminingingbelgium-meetup-161025122146
On Thursday October 20 2016, we have demonstrated how we applied Process Mining to improve the customer experience in a crucial customer-facing process at ING Belgium. In this case we compare traditional (six sigma-style) approaches with more modern techniques to help ING Belgium serve its clients better. We will illustrate the benefits, milestones, requirements and potential pitfalls we encountered. Presentation held in a Meetup of the Brussels Data Science Community.]]>
On Thursday October 20 2016, we have demonstrated how we applied Process Mining to improve the customer experience in a crucial customer-facing process at ING Belgium. In this case we compare traditional (six sigma-style) approaches with more modern techniques to help ING Belgium serve its clients better. We will illustrate the benefits, milestones, requirements and potential pitfalls we encountered. Presentation held in a Meetup of the Brussels Data Science Community.]]> Tue, 25 Oct 2016 12:21:45 GMT /slideshow/process-mining-a-case-by-ing-belgium-and-python-predictions-update/67625428 pythonpredictions@slideshare.net(pythonpredictions) Process mining - a case by ING Belgium and Python Predictions (update Oct 2016) pythonpredictions On Thursday October 20 2016, we have demonstrated how we applied Process Mining to improve the customer experience in a crucial customer-facing process at ING Belgium. In this case we compare traditional (six sigma-style) approaches with more modern techniques to help ING Belgium serve its clients better. We will illustrate the benefits, milestones, requirements and potential pitfalls we encountered. Presentation held in a Meetup of the Brussels Data Science Community. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/processminingingbelgium-meetup-161025122146-thumbnail.jpg?width=120&height=120&fit=bounds" /> On Thursday October 20 2016, we have demonstrated how we applied Process Mining to improve the customer experience in a crucial customer-facing process at ING Belgium. In this case we compare traditional (six sigma-style) approaches with more modern techniques to help ING Belgium serve its clients better. We will illustrate the benefits, milestones, requirements and potential pitfalls we encountered. Presentation held in a Meetup of the Brussels Data Science Community.

Process mining - a case by ING Belgium and Python Predictions (update Oct 2016) from Python Predictions

]]> 702 4 https://cdn.slidesharecdn.com/ss_thumbnails/processminingingbelgium-meetup-161025122146-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post

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0 Predictive Analytics in Fundraising - Success Story DSC /slideshow/predictive-analytics-in-fundraising-success-story-dsc/67624857 sasbeluxforum20121011ennotes-161025120630
In this presentation, we explain how DSC, a Belgian direct marketing specialist, developed a predictive model for targeting new potential donors.]]>
In this presentation, we explain how DSC, a Belgian direct marketing specialist, developed a predictive model for targeting new potential donors.]]> Tue, 25 Oct 2016 12:06:29 GMT /slideshow/predictive-analytics-in-fundraising-success-story-dsc/67624857 pythonpredictions@slideshare.net(pythonpredictions) Predictive Analytics in Fundraising - Success Story DSC pythonpredictions In this presentation, we explain how DSC, a Belgian direct marketing specialist, developed a predictive model for targeting new potential donors. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sasbeluxforum20121011ennotes-161025120630-thumbnail.jpg?width=120&height=120&fit=bounds" /> In this presentation, we explain how DSC, a Belgian direct marketing specialist, developed a predictive model for targeting new potential donors.

Predictive Analytics in Fundraising - Success Story DSC from Python Predictions

]]> 484 5 https://cdn.slidesharecdn.com/ss_thumbnails/sasbeluxforum20121011ennotes-161025120630-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 Predicting Customer Long Term Value at Eni Belgium /slideshow/predicting-customer-long-term-value-at-eni-belgium/67350373 sasforum2016-eni-pythonpredictions-161018140444
�ݺ�ߣs of the presentation at SAS Forum Belux 2016, Brussels As today's energy market is strictly regulated but very competitive, customers will typically not remain equally valuable over time. To better understand this reality and get an accurate view on future customer value, Eni Gas & Power has built a Long Term Value model. In this presentation, we explain how Predictive Analytics were used to construct this model, share the insights gained through the process and show how the outcome helps Eni Gas & Power to better steer future strategies.]]>
�ݺ�ߣs of the presentation at SAS Forum Belux 2016, Brussels As today's energy market is strictly regulated but very competitive, customers will typically not remain equally valuable over time. To better understand this reality and get an accurate view on future customer value, Eni Gas & Power has built a Long Term Value model. In this presentation, we explain how Predictive Analytics were used to construct this model, share the insights gained through the process and show how the outcome helps Eni Gas & Power to better steer future strategies.]]> Tue, 18 Oct 2016 14:04:44 GMT /slideshow/predicting-customer-long-term-value-at-eni-belgium/67350373 pythonpredictions@slideshare.net(pythonpredictions) Predicting Customer Long Term Value at Eni Belgium pythonpredictions �ݺ�ߣs of the presentation at SAS Forum Belux 2016, Brussels As today's energy market is strictly regulated but very competitive, customers will typically not remain equally valuable over time. To better understand this reality and get an accurate view on future customer value, Eni Gas & Power has built a Long Term Value model. In this presentation, we explain how Predictive Analytics were used to construct this model, share the insights gained through the process and show how the outcome helps Eni Gas & Power to better steer future strategies. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sasforum2016-eni-pythonpredictions-161018140444-thumbnail.jpg?width=120&height=120&fit=bounds" /> �ݺ�ߣs of the presentation at SAS Forum Belux 2016, Brussels As today's energy market is strictly regulated but very competitive, customers will typically not remain equally valuable over time. To better understand this reality and get an accurate view on future customer value, Eni Gas & Power has built a Long Term Value model. In this presentation, we explain how Predictive Analytics were used to construct this model, share the insights gained through the process and show how the outcome helps Eni Gas & Power to better steer future strategies.

Predicting Customer Long Term Value at Eni Belgium from Python Predictions

]]> 4970 6 https://cdn.slidesharecdn.com/ss_thumbnails/sasforum2016-eni-pythonpredictions-161018140444-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post

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0 Process mining - a case by ING Belgium and Python Predictions /pythonpredictions/process-mining-a-case-by-ing-belgium-and-python-predictions-60595569 processminingingbelgium-pythonpredictionsfinal-160407070640
On Monday April 11 2016, we have demonstrated how we applied Process Mining to improve the customer experience in a crucial customer-facing process at ING Belgium. In this case we compare traditional (six sigma-style) approaches with more modern techniques to help ING Belgium serve its clients better. We will illustrate the benefits, milestones, requirements and potential pitfalls we encountered. Presentation held on the INFORMS conference on Business Analytics and Operations Research in Orlando (USA).]]>
On Monday April 11 2016, we have demonstrated how we applied Process Mining to improve the customer experience in a crucial customer-facing process at ING Belgium. In this case we compare traditional (six sigma-style) approaches with more modern techniques to help ING Belgium serve its clients better. We will illustrate the benefits, milestones, requirements and potential pitfalls we encountered. Presentation held on the INFORMS conference on Business Analytics and Operations Research in Orlando (USA).]]> Thu, 07 Apr 2016 07:06:40 GMT /pythonpredictions/process-mining-a-case-by-ing-belgium-and-python-predictions-60595569 pythonpredictions@slideshare.net(pythonpredictions) Process mining - a case by ING Belgium and Python Predictions pythonpredictions On Monday April 11 2016, we have demonstrated how we applied Process Mining to improve the customer experience in a crucial customer-facing process at ING Belgium. In this case we compare traditional (six sigma-style) approaches with more modern techniques to help ING Belgium serve its clients better. We will illustrate the benefits, milestones, requirements and potential pitfalls we encountered. Presentation held on the INFORMS conference on Business Analytics and Operations Research in Orlando (USA). <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/processminingingbelgium-pythonpredictionsfinal-160407070640-thumbnail.jpg?width=120&height=120&fit=bounds" /> On Monday April 11 2016, we have demonstrated how we applied Process Mining to improve the customer experience in a crucial customer-facing process at ING Belgium. In this case we compare traditional (six sigma-style) approaches with more modern techniques to help ING Belgium serve its clients better. We will illustrate the benefits, milestones, requirements and potential pitfalls we encountered. Presentation held on the INFORMS conference on Business Analytics and Operations Research in Orlando (USA).

Process mining - a case by ING Belgium and Python Predictions from Python Predictions

]]> 6659 8 https://cdn.slidesharecdn.com/ss_thumbnails/processminingingbelgium-pythonpredictionsfinal-160407070640-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post

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0 Predictive analytics and data science at ING Belgium /slideshow/predictive-analytics-and-data-science-at-ing-belgium/53689700 large-scalepredictiveanalyticsinpracticeingbelgium-final-151008114115-lva1-app6891
Presentation for the conference 'Etes-vous prêts à accueillir le Big Data?" at IESEG School of Management, Paris, Oct 2nd 2015. In this presentation, we covered ING Belgium's current developments and usage of Predictive Analytics. About ten years ago, ING Belgium started its first activities in Predictive Analytics for Marketing at ING Belgium. Since then, the bank has succeeded in transforming the first sporadic successes to a successful business activity in production. As a result, predictive models are the main engine of automated campaigns towards a large variety of target audiences and channels. In this presentation, we discuss the evolution from initial developments over industrialisation. We conclude by emphasizing how modern technologies and the Big Data hype has changed this domain for the bank.]]>
Presentation for the conference 'Etes-vous prêts à accueillir le Big Data?" at IESEG School of Management, Paris, Oct 2nd 2015. In this presentation, we covered ING Belgium's current developments and usage of Predictive Analytics. About ten years ago, ING Belgium started its first activities in Predictive Analytics for Marketing at ING Belgium. Since then, the bank has succeeded in transforming the first sporadic successes to a successful business activity in production. As a result, predictive models are the main engine of automated campaigns towards a large variety of target audiences and channels. In this presentation, we discuss the evolution from initial developments over industrialisation. We conclude by emphasizing how modern technologies and the Big Data hype has changed this domain for the bank.]]> Thu, 08 Oct 2015 11:41:15 GMT /slideshow/predictive-analytics-and-data-science-at-ing-belgium/53689700 pythonpredictions@slideshare.net(pythonpredictions) Predictive analytics and data science at ING Belgium pythonpredictions Presentation for the conference 'Etes-vous prêts à accueillir le Big Data?" at IESEG School of Management, Paris, Oct 2nd 2015. In this presentation, we covered ING Belgium's current developments and usage of Predictive Analytics. About ten years ago, ING Belgium started its first activities in Predictive Analytics for Marketing at ING Belgium. Since then, the bank has succeeded in transforming the first sporadic successes to a successful business activity in production. As a result, predictive models are the main engine of automated campaigns towards a large variety of target audiences and channels. In this presentation, we discuss the evolution from initial developments over industrialisation. We conclude by emphasizing how modern technologies and the Big Data hype has changed this domain for the bank. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/large-scalepredictiveanalyticsinpracticeingbelgium-final-151008114115-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation for the conference 'Etes-vous prêts à accueillir le Big Data?" at IESEG School of Management, Paris, Oct 2nd 2015. In this presentation, we covered ING Belgium's current developments and usage of Predictive Analytics. About ten years ago, ING Belgium started its first activities in Predictive Analytics for Marketing at ING Belgium. Since then, the bank has succeeded in transforming the first sporadic successes to a successful business activity in production. As a result, predictive models are the main engine of automated campaigns towards a large variety of target audiences and channels. In this presentation, we discuss the evolution from initial developments over industrialisation. We conclude by emphasizing how modern technologies and the Big Data hype has changed this domain for the bank.

Predictive analytics and data science at ING Belgium from Python Predictions

]]> 3487 6 https://cdn.slidesharecdn.com/ss_thumbnails/large-scalepredictiveanalyticsinpracticeingbelgium-final-151008114115-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 Winning with analytics - Data Innovation Summit 2015 - Made in Belgium /slideshow/winning-with-analytics-data-innovation-summit-2015-made-in-belgium/46281451 winningwithanalytics-dis2015-slideshare-150325130907-conversion-gate01
Winning with (predictive) analytics is not much different from winning with beer. 15 minute key presentation by @pythongeert on Data Innovation Summit 2015 - Made in Belgium by datasciencebe.com ]]>
Winning with (predictive) analytics is not much different from winning with beer. 15 minute key presentation by @pythongeert on Data Innovation Summit 2015 - Made in Belgium by datasciencebe.com ]]> Wed, 25 Mar 2015 13:09:07 GMT /slideshow/winning-with-analytics-data-innovation-summit-2015-made-in-belgium/46281451 pythonpredictions@slideshare.net(pythonpredictions) Winning with analytics - Data Innovation Summit 2015 - Made in Belgium pythonpredictions Winning with (predictive) analytics is not much different from winning with beer. 15 minute key presentation by @pythongeert on Data Innovation Summit 2015 - Made in Belgium by datasciencebe.com <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/winningwithanalytics-dis2015-slideshare-150325130907-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Winning with (predictive) analytics is not much different from winning with beer. 15 minute key presentation by @pythongeert on Data Innovation Summit 2015 - Made in Belgium by datasciencebe.com

Winning with analytics - Data Innovation Summit 2015 - Made in Belgium from Python Predictions

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0 Combining Logit and Ensemble Modeling for Increased Customer Churn Detection /slideshow/combining-logit-and-ensemble-modeling-for-increased-customer-churn-detection/40957574 pawlondon2014-opening-geertverstraeten-slideshare-141031054123-conversion-gate02
Story of the opening keynote by Geert Verstraeten at Predictive Analytics World London 2014, October 29-30 at London, UK. Find more details about the conference and the other speakers on www.pawcon.com/london ]]>
Story of the opening keynote by Geert Verstraeten at Predictive Analytics World London 2014, October 29-30 at London, UK. Find more details about the conference and the other speakers on www.pawcon.com/london ]]> Fri, 31 Oct 2014 05:41:22 GMT /slideshow/combining-logit-and-ensemble-modeling-for-increased-customer-churn-detection/40957574 pythonpredictions@slideshare.net(pythonpredictions) Combining Logit and Ensemble Modeling for Increased Customer Churn Detection pythonpredictions Story of the opening keynote by Geert Verstraeten at Predictive Analytics World London 2014, October 29-30 at London, UK. Find more details about the conference and the other speakers on www.pawcon.com/london <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/pawlondon2014-opening-geertverstraeten-slideshare-141031054123-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Story of the opening keynote by Geert Verstraeten at Predictive Analytics World London 2014, October 29-30 at London, UK. Find more details about the conference and the other speakers on www.pawcon.com/london

Combining Logit and Ensemble Modeling for Increased Customer Churn Detection from Python Predictions

]]> 4846 14 https://cdn.slidesharecdn.com/ss_thumbnails/pawlondon2014-opening-geertverstraeten-slideshare-141031054123-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post

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0 https://cdn.slidesharecdn.com/profile-photo-pythonpredictions-48x48.jpg?cb=1613137359 Python Predictions is a Brussels-based service provider specialized in data science projects with impact. We have a strong legacy in predictive analytics projects in a business context, and success cases of applied data science in marketing, risk, operations and HR. And we enable clients to take their adoption of data science to the next level. Founded in 2006, Python Predictions is active in b2b and b2c retail, financial services, utilities, postal services, telecommunications and fundraising. In January 2020, Python Predictions joined Tobania - the leading Belgian business & technology consulting firm that guides their clients through digital business transformation. www.pythonpredictions.com https://cdn.slidesharecdn.com/ss_thumbnails/aiinspirationsessioninhr-210212134305-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/ai-inspiration-session-in-hr/242626420 AI inspiration session... https://cdn.slidesharecdn.com/ss_thumbnails/belgiandigitalchampions-delhaizeandpythonpredictions-explanation-191012202248-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/long-live-customer-segmentation-at-delhaize-181424082/181424082 Long live customer seg... https://cdn.slidesharecdn.com/ss_thumbnails/tecfinal-canalgorithmshelptoreduceabsenteeismslideshare-191003122723-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/can-algorithms-help-to-reduce-absenteeism/178769625 Can algorithms help to...