An overview of the work regarding personalization and recommendations at Vente Privée. Betty Moreschini will detail the mechanism behind the catalog customization when you enter a specific sale.
Keynote presentation held at Rethink! IT Europe 2017 in London outlining some of the best practices of how to re-invent your IT architecture. Includes key methods like radical agility, microservices and DevOps.
Deep SEARCH 9 is Data Analysis for the Web.
Combined indexing and search of structured and unstructured sources from the Surface Web, the Deep Web and the Dark Web and corporate data ensure that employees in every part of the organization have access to the information they need without having to use public search engines.
A powerful Application Builder for creating 360° information applications to bring information and analytics together and deliver them to users in a new SEARCH experience.
Advanced content analytics to aggregate, analyze and visualize unstructured (natural language) content to reveal hidden insights and patterns.
Deep SEARCH 9 is the only Web scale analytic search solution that offers corporations a proprietary and anonymous search solution by combining web crawling, content analytics, data linking and search.
More info at: http://www.deepsearchnine.com
Understanding and predicting behavior for each individual customer has always been the ultimate dream for all digital companies. Combining machine learning and big data processing has finally made that dream a reality. In this webcast, you'll learn about the behavior based algorithms Insights uses to predict customer behavior.
Listen to the podcast version here: http://bit.ly/1EYkSIH
View the webcast on Youtube: https://youtu.be/sidTdUkacHw
Keynote presentation held at Rethink! IT Europe 2017 in London outlining some of the best practices of how to re-invent your IT architecture. Includes key methods like radical agility, microservices and DevOps.
Deep SEARCH 9 is Data Analysis for the Web.
Combined indexing and search of structured and unstructured sources from the Surface Web, the Deep Web and the Dark Web and corporate data ensure that employees in every part of the organization have access to the information they need without having to use public search engines.
A powerful Application Builder for creating 360° information applications to bring information and analytics together and deliver them to users in a new SEARCH experience.
Advanced content analytics to aggregate, analyze and visualize unstructured (natural language) content to reveal hidden insights and patterns.
Deep SEARCH 9 is the only Web scale analytic search solution that offers corporations a proprietary and anonymous search solution by combining web crawling, content analytics, data linking and search.
More info at: http://www.deepsearchnine.com
Understanding and predicting behavior for each individual customer has always been the ultimate dream for all digital companies. Combining machine learning and big data processing has finally made that dream a reality. In this webcast, you'll learn about the behavior based algorithms Insights uses to predict customer behavior.
Listen to the podcast version here: http://bit.ly/1EYkSIH
View the webcast on Youtube: https://youtu.be/sidTdUkacHw
Using Machine Learning to Understand and Predict Marketing ROIDATAVERSITY
Marketing is all about attracting, retaining and building profitable relationships with your customers, but how do you know which customers to target, which campaigns to run, and which marketing programs to invest in, to get most return for your dollar?
Join Alteryx and Keyrus as we demonstrate how to combine all relevant marketing, sales and customer data, and perform sophisticated analytics to deepen customer insight and calculate ROI of marketing programs.
You’ll walk away knowing how to:
Segment and profile your customers – take that raw data and translate it into real value
Build a marketing attribution model within Alteryx, creating a personal answer engine for your company.
Leverage R or Python code in an Alteryx workflow so data scientists can collaborate with non-coding stake holders in a code-friendly and code-free environment.
Join Alteryx and Keyrus and get the actionable insights you need to drive marketing ROI analytics, and answer million-dollar questions without spending millions of dollars on standardized solutions.
Key takeaways:
Pay-per use, automated replenishment, consumer behavior analysis, predictive maintenance. We will provide an overview of what existing SAP IoT technology can offer for Connected Products. We will cover the following points:
- Introduction IoT and SAP Leonardo
- Business value examples through role-driven SAP Connected
- Products system views for:
- Silos & Containers
- Refrigeration (such as vending machines)
- Tools & Construction Equipment
- Dispensers (such as coffee makers)
- Overview of relevant SAP system integrations
Get more detailled information in our webinar: https://westernacher-consulting.com/webinars/connected-products-with-sap-iot/
Power Up Your Competitive Price Intelligence With Web DataConnotate
Unprecedented price transparency has shifted the balance of power to the consumer, compressing margins and shattering the strongholds of premium brands. If you are a manufacturer, distributor or retailer, how can you respond to this challenge?
This presentation will reveal strategies for regaining control and improving margins – with real-world success stories that clearly illustrate how manufacturers and retailers are gaining greater visibility into pricing and product positioning throughout the entire supply chain.
Analytics Alchemy - A Google Analytics primer on how GA4 can be made effective by organisations and why GA4 is a complete game changer for businesses in every segment.
Top features:
- Data Unification
- AI Powered Insights
- Audience Triggers
- Templates
- Bigquery Streaming Report
The slides has been prepared with memes as a way to narrate and make a compelling the story to any audience.
Data Science Salon: Quit Wasting Time – Case Studies in Production Machine Le...Formulatedby
Presented by Yashas Vaidya, Sr Data Scientist at DataIku
Next DSS MIA Event - https://datascience.salon/miami/
The steps to taking a machine learning model to production. Modern architectures and technologies for building production machine learning. An overview of the talent and processes for creating and maintaining production machine learning.
Speakers: David Menninger, SVP and Research Director, Ventana Research + Joanna Schloss, Analytics, Data and Information Management Subject Matter Expert, Confluent
Can your organization react to customer events as they occur?
Can your organization detect anomalies before they cause problems?
Can your organization process streaming data in real time?
Real time and event-driven architectures are emerging as key components in developing streaming applications. Nearly half of organizations consider it essential to process event data within seconds of its occurrence. Yet less than one third are satisfied with their ability to do so today. In this webinar featuring Dave Menninger of Ventana Research, learn from the firm’s benchmark research about what streaming data is and why it is important. Joanna Schloss also joins to discuss how event-streaming platforms deliver real time actionability on data as it arrives into the business. Join us to hear how other organizations are managing streaming data and how you can adopt and deploy real time processing capabilities.
In this webinar you will:
-Get valuable market research data about how other organizations are managing streaming data
-Learn how real time processing is a key component of a digital transformation strategy
-Hear real world use cases of streaming data in action
-Review architectural approaches for adding real time, streaming data capabilities to your applications
Watch the recording: https://videos.confluent.io/watch/AoXiYayC1s23awqJBcQvPZ?
Engineering with Open Source - Hyonjee JooTwo Sigma
Engineering systems using open source solutions can be a powerful way to leverage existing technology. However, not all open source solutions are made or supported equally, and it’s important to choose what you use carefully. In this talk, we’ll walk through building a metrics system for a high performance data platform, taking a look at some of the important factors to consider when choosing what open source offerings to use.
Artificial Intelligence and Analytic Ops to Continuously Improve Business Out...DataWorks Summit
The time for enterprises to gain market advantage through Artificial Intelligence is now. Already many AI-enabled advances are transforming business processes and customer experiences, but the vast majority of AI-enhanced use cases are still to be discovered, developed, and deployed. In order to discover and capture the value available through deployed AI, new deep learning techniques are the focus of feverish research and development in academia and business. However, even successful AI experiments are often never deployed to business operations, resulting in wasted effort, time, and money, and leaving businesses dangerously exposed to competitors that have integrated AI into their ongoing operations.
Experimentation with AI is essential to realizing the promise of AI, but enterprises face substantial risks that their experiments with AI, even successful ones, will do nothing to improve their business outcomes. We present a framework, inspired by DevOps practices used by software engineers to continuously incorporate new ideas and improvements into applications, that de-risks investments in AI by providing a reliable channel for pipelining successful AI experiments and development into continuously deployed and monitored operational analytics.
Speaker
Nick Switanek, Marketing Director of Artificial Intelligence, Teradata
What do you mean by “API as a Product”?Nordic APIs
You may have heard the term “API Product.” But what does it mean? In this talk I will introduce the concept and explain the benefits and challenges of transforming your organization to view your APIs as measurable products that expose your companies capabilities creating agility, autonomy, and acceleration. Traditional product manufacturers create new product and launch them into the marketplace and then measure value; we will teach you to view your APIs in the same way. Concepts covered in this presentation will be designing APIs with Design Thinking, funding your product, building teams, marketing your API, managing your marketplace, and measuring success.
Increasing Revenue and Loyalty with Real-Time Product RecommendationTigerGraph
Learn how TigerGraph's real-time deep link analytics powered by a highly scalable graph database, combined with machine learning, is allowing eCommerce companies to:
-Identify what a customer is looking for at a particular business moment
-Recommend related items that will support customer needs and increase value of the final order
-Recommend other items that align with the customer preferences, likes and dislikes to increase click-through rate and order value
Moving from data to insights: How to effectively drive business decisions & g...Cloudera, Inc.
Firms have become obsessed with data. But the key to competitive advantage is not just more or bigger data or big data technology, it is finding actionable insights from all the data as well as embedding insight in processes and applications. This requires a change in your approach - modernized architecture and embedding insights and data in you business decisions It also requires a change in how your people work systematically to find, test and implement insights. In this webinar, Forrester Vice President and Principal Analyst Brian Hopkins will present results from two years of research into these ideas and recommend to attendees how they can get the most out of their data and analytics to drive effective business decisions and gain competitive advantage.
Customer Insights: 11 IT Tool Integration Patterns to Speed DeliveryDevOps.com
In an analysis of over 300 software delivery organizations we found that high performing IT organizations realize the value of end-to-end process automation beyond the CI/CD pipeline.
Join us to learn:
How IT tool integration accelerates enterprise software delivery
How to implement 11 popular tool integration patterns
Strategies to reach integration maturity through chained integration patterns
We’ll share the results of an analysis of 1,000 tool integrations, including how IT organizations are putting in place sophisticated integration infrastructure layer to automate the flow of work from ideation to production.
As electricity is difficult to store, it is crucial to strictly maintain the balance between production and consumption. The integration of intermittent renewable energies into the production mix has made the management of the balance more complex. However, access to near real-time data and communication with consumers via smart meters suggest demand response. Specifically, sending signals would encourage users to adjust their consumption according to the production of electricity. The algorithms used to select these signals must learn consumer reactions and optimize them while balancing exploration and exploitation. Various sequential or reinforcement learning approaches are being considered.
Online violence amplifies IRL discriminations, and the lack of diversity grows in a vicious circle. Understanding cyber-violence, its forms and mechanisms, can help us fight back. To process massive volumes of data, AI finally comes into play for good.
More Related Content
Similar to Personalization and Recommendation Systems at Vente Privée by Betty Moreschini
Using Machine Learning to Understand and Predict Marketing ROIDATAVERSITY
Marketing is all about attracting, retaining and building profitable relationships with your customers, but how do you know which customers to target, which campaigns to run, and which marketing programs to invest in, to get most return for your dollar?
Join Alteryx and Keyrus as we demonstrate how to combine all relevant marketing, sales and customer data, and perform sophisticated analytics to deepen customer insight and calculate ROI of marketing programs.
You’ll walk away knowing how to:
Segment and profile your customers – take that raw data and translate it into real value
Build a marketing attribution model within Alteryx, creating a personal answer engine for your company.
Leverage R or Python code in an Alteryx workflow so data scientists can collaborate with non-coding stake holders in a code-friendly and code-free environment.
Join Alteryx and Keyrus and get the actionable insights you need to drive marketing ROI analytics, and answer million-dollar questions without spending millions of dollars on standardized solutions.
Key takeaways:
Pay-per use, automated replenishment, consumer behavior analysis, predictive maintenance. We will provide an overview of what existing SAP IoT technology can offer for Connected Products. We will cover the following points:
- Introduction IoT and SAP Leonardo
- Business value examples through role-driven SAP Connected
- Products system views for:
- Silos & Containers
- Refrigeration (such as vending machines)
- Tools & Construction Equipment
- Dispensers (such as coffee makers)
- Overview of relevant SAP system integrations
Get more detailled information in our webinar: https://westernacher-consulting.com/webinars/connected-products-with-sap-iot/
Power Up Your Competitive Price Intelligence With Web DataConnotate
Unprecedented price transparency has shifted the balance of power to the consumer, compressing margins and shattering the strongholds of premium brands. If you are a manufacturer, distributor or retailer, how can you respond to this challenge?
This presentation will reveal strategies for regaining control and improving margins – with real-world success stories that clearly illustrate how manufacturers and retailers are gaining greater visibility into pricing and product positioning throughout the entire supply chain.
Analytics Alchemy - A Google Analytics primer on how GA4 can be made effective by organisations and why GA4 is a complete game changer for businesses in every segment.
Top features:
- Data Unification
- AI Powered Insights
- Audience Triggers
- Templates
- Bigquery Streaming Report
The slides has been prepared with memes as a way to narrate and make a compelling the story to any audience.
Data Science Salon: Quit Wasting Time – Case Studies in Production Machine Le...Formulatedby
Presented by Yashas Vaidya, Sr Data Scientist at DataIku
Next DSS MIA Event - https://datascience.salon/miami/
The steps to taking a machine learning model to production. Modern architectures and technologies for building production machine learning. An overview of the talent and processes for creating and maintaining production machine learning.
Speakers: David Menninger, SVP and Research Director, Ventana Research + Joanna Schloss, Analytics, Data and Information Management Subject Matter Expert, Confluent
Can your organization react to customer events as they occur?
Can your organization detect anomalies before they cause problems?
Can your organization process streaming data in real time?
Real time and event-driven architectures are emerging as key components in developing streaming applications. Nearly half of organizations consider it essential to process event data within seconds of its occurrence. Yet less than one third are satisfied with their ability to do so today. In this webinar featuring Dave Menninger of Ventana Research, learn from the firm’s benchmark research about what streaming data is and why it is important. Joanna Schloss also joins to discuss how event-streaming platforms deliver real time actionability on data as it arrives into the business. Join us to hear how other organizations are managing streaming data and how you can adopt and deploy real time processing capabilities.
In this webinar you will:
-Get valuable market research data about how other organizations are managing streaming data
-Learn how real time processing is a key component of a digital transformation strategy
-Hear real world use cases of streaming data in action
-Review architectural approaches for adding real time, streaming data capabilities to your applications
Watch the recording: https://videos.confluent.io/watch/AoXiYayC1s23awqJBcQvPZ?
Engineering with Open Source - Hyonjee JooTwo Sigma
Engineering systems using open source solutions can be a powerful way to leverage existing technology. However, not all open source solutions are made or supported equally, and it’s important to choose what you use carefully. In this talk, we’ll walk through building a metrics system for a high performance data platform, taking a look at some of the important factors to consider when choosing what open source offerings to use.
Artificial Intelligence and Analytic Ops to Continuously Improve Business Out...DataWorks Summit
The time for enterprises to gain market advantage through Artificial Intelligence is now. Already many AI-enabled advances are transforming business processes and customer experiences, but the vast majority of AI-enhanced use cases are still to be discovered, developed, and deployed. In order to discover and capture the value available through deployed AI, new deep learning techniques are the focus of feverish research and development in academia and business. However, even successful AI experiments are often never deployed to business operations, resulting in wasted effort, time, and money, and leaving businesses dangerously exposed to competitors that have integrated AI into their ongoing operations.
Experimentation with AI is essential to realizing the promise of AI, but enterprises face substantial risks that their experiments with AI, even successful ones, will do nothing to improve their business outcomes. We present a framework, inspired by DevOps practices used by software engineers to continuously incorporate new ideas and improvements into applications, that de-risks investments in AI by providing a reliable channel for pipelining successful AI experiments and development into continuously deployed and monitored operational analytics.
Speaker
Nick Switanek, Marketing Director of Artificial Intelligence, Teradata
What do you mean by “API as a Product”?Nordic APIs
You may have heard the term “API Product.” But what does it mean? In this talk I will introduce the concept and explain the benefits and challenges of transforming your organization to view your APIs as measurable products that expose your companies capabilities creating agility, autonomy, and acceleration. Traditional product manufacturers create new product and launch them into the marketplace and then measure value; we will teach you to view your APIs in the same way. Concepts covered in this presentation will be designing APIs with Design Thinking, funding your product, building teams, marketing your API, managing your marketplace, and measuring success.
Increasing Revenue and Loyalty with Real-Time Product RecommendationTigerGraph
Learn how TigerGraph's real-time deep link analytics powered by a highly scalable graph database, combined with machine learning, is allowing eCommerce companies to:
-Identify what a customer is looking for at a particular business moment
-Recommend related items that will support customer needs and increase value of the final order
-Recommend other items that align with the customer preferences, likes and dislikes to increase click-through rate and order value
Moving from data to insights: How to effectively drive business decisions & g...Cloudera, Inc.
Firms have become obsessed with data. But the key to competitive advantage is not just more or bigger data or big data technology, it is finding actionable insights from all the data as well as embedding insight in processes and applications. This requires a change in your approach - modernized architecture and embedding insights and data in you business decisions It also requires a change in how your people work systematically to find, test and implement insights. In this webinar, Forrester Vice President and Principal Analyst Brian Hopkins will present results from two years of research into these ideas and recommend to attendees how they can get the most out of their data and analytics to drive effective business decisions and gain competitive advantage.
Customer Insights: 11 IT Tool Integration Patterns to Speed DeliveryDevOps.com
In an analysis of over 300 software delivery organizations we found that high performing IT organizations realize the value of end-to-end process automation beyond the CI/CD pipeline.
Join us to learn:
How IT tool integration accelerates enterprise software delivery
How to implement 11 popular tool integration patterns
Strategies to reach integration maturity through chained integration patterns
We’ll share the results of an analysis of 1,000 tool integrations, including how IT organizations are putting in place sophisticated integration infrastructure layer to automate the flow of work from ideation to production.
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As electricity is difficult to store, it is crucial to strictly maintain the balance between production and consumption. The integration of intermittent renewable energies into the production mix has made the management of the balance more complex. However, access to near real-time data and communication with consumers via smart meters suggest demand response. Specifically, sending signals would encourage users to adjust their consumption according to the production of electricity. The algorithms used to select these signals must learn consumer reactions and optimize them while balancing exploration and exploitation. Various sequential or reinforcement learning approaches are being considered.
Online violence amplifies IRL discriminations, and the lack of diversity grows in a vicious circle. Understanding cyber-violence, its forms and mechanisms, can help us fight back. To process massive volumes of data, AI finally comes into play for good.
In the energy sector, the use of temporal data stands as a pivotal topic. At GRDF, we have developed several methods to effectively handle such data. This presentation will specifically delve into our approaches for anomaly detection and data imputation within time series, leveraging transformers and adversarial training techniques.
Natasha shares her experience to delve into the complexities, challenges, and strategies associated with effectively leading tech teams dispersed across borders.
Nour and Maria present the work they did at Tweag, Modus Create innovation arm, where the GenAI team developed an evaluation framework for Retrieval-Augmented Generation (RAG) systems. RAG systems provide an easy and low-cost way to extend the knowledge of Large Language Models (LLMs) but measuring their performance is not an easy task.
The presentation will review existing evaluation frameworks, ranging from those based on the traditional ML approach of using groundtruth datasets, including Tweag's, to those that use LLMs to compute evaluation metrics.
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Laure talked about a very hot topic in the community at the moment with the ChatGPT phenomenon: how to supervise a PhD thesis in NLP in the age of Large Language Models (LLMs)?
Abstract: Who hasn't heard of the "Pilot Syndrome"? 85% of Data Science Pilots remain pilots and do not make it to the production stage. Let's build a production-ready and end-user-friendly Data Science application. 100% python and 100% open source.
Phase 1 | Building the GUI: create an interactive and powerful interface in a few lines of code
Phase 2 | Integrated back end: Manage your models and pipelines and create scenarios the smart way
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I'll then present an application of LLM to protein name prediction.
Twitter: @Amelie_hel
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The aim of our project is to develop a system that is meant to partially computerize the work performed in the Water Board like generating monthly Water bill, record of consuming unit of water, store record of the customer and previous unpaid record.
We used HTML/PHP as front end and MYSQL as back end for developing our project. HTML is primarily a visual design environment. We can create a android application by designing the form and that make up the user interface. Adding android application code to the form and the objects such as buttons and text boxes on them and adding any required support code in additional modular.
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Personalization and Recommendation Systems at Vente Privée by Betty Moreschini
1. Personalization and
Recommendation Systems at
vente-privee
Betty Moreschini
Software Engineer
@bettymoreschini
@vpTech #VPTech
@WiMLDS_Paris #WiMLDS
CFM - 28th June 2018
2. |-
Vente-privee
28/06/2018 Recommendation Systems at vente-privee2
Destocking from other brands
• 54 000 flash sales in 2017 (~150 per day)
• 7 000 brands
Present in 14 countries
• 72M users (21M in France)
• 2M unique visitors / day
3. |-
VP Tech
28/06/2018 Recommendation Systems at vente-privee3
500+ persons in IT department
↗273 in 2017
Diversity of technologies
• C#
• GoLang
• JavaScript
• Android
• iOS
• Haskell
• Ruby on Rails
• Python
• Kafka
• Elasticsearch
• RabbitMQ
• Node.js
• AWS
• Kubernetes
• …
We are hiring!
4. |-
Data Science at vente-privee
Intermediate purchase order
Automated articles classification from pictures
Customization
• Home Page
• Order Confirmation email
• Similar articles
28/06/2018 Recommendation Systems at vente-privee4
7. |-
Home Page Customization: Obstacles
28/06/2018 Recommendation Systems at vente-privee7
Business
• Conflicts between business and technology:
B2B rules in Home Page ordering
Technical
• Incomplete or incorrect classifications
8. |-
Home Page Customization: Impacts
28/06/2018 Recommendation Systems at vente-privee8
AB Test: 1 month, 6M users
Personnalisation with B2B rules
• Entry rate: +1.5%
• Conversion rate: +1.4%
Personnalisation without B2B rules
• Entry rate: +3.9%
• Conversion rate: +2.3%
15. |-
Member Aggregator
28/06/2018 Recommendation Systems at vente-privee13
User interacts with article
Member
Adult
Woman
Adult
Man
Kid Girl Kid Boy
Member1 41
Member2
Member3
Member1 Product1
42 +1
27. |-
What’s Next?
28/06/2018 Recommendation Systems at vente-privee24
Order Confirmation e-mail
Travel Customization
• Is this customer about to travel?
• Which destinations?