This document provides an overview of Neo4j, including:
- Neo4j is a graph database company with over 260 employees and $80M in funding.
- It has over 10M downloads and 275+ enterprise customers, including top retail, financial, and software firms.
- Neo4j is used for common use cases like recommendations, fraud detection, knowledge graphs, and master data management by customers like NASA, eBay, Walmart, and Marriott.
- The document describes several customer case studies and how Neo4j helped organizations like NASA, ICIJ, and others solve problems and gain insights.
Bringing ML To Production, What Is Missing? AMLD 2020Mikio L. Braun
This document discusses key considerations for bringing machine learning to production. It addresses identifying suitable problems for ML, architectures for ML systems, and organizing teams and data platforms for ML. Specifically, it provides examples of recommender systems and preprocessing patterns. It emphasizes that the ML problem must address the underlying business problem and have different metrics. Architectures include serving patterns, preprocessing in feature stores, and integrating multiple ML models. The document also discusses effective collaboration between data scientists and developers and organizing data science teams within companies.
GraphTour Keynote, Emil Eifrem, CEO and Founder, Neo4jNeo4j
This document discusses graphs and graph databases. It begins with an agenda about graphs 101, the state of graph databases, and the future of graphs. It then provides examples of how graphs can be used for applications like fraud detection and knowledge graphs. The document discusses how the use of graph databases has grown significantly in recent years and is expected to continue growing. It also provides examples of large companies that use graph databases and discusses how graphs can enhance artificial intelligence by providing connections and context.
What do you get when excel and powerpoint are having a baby?Nils Breitmann
This talk addresses the usage of no/low-code platforms in digital commerce scenarios. There will be some theory, but also a lot of examples and practical showcases. If you are a tech-savvy e-commerce manager and want to achieve your business goals without costly and lengthy IT projects, then this talk is for you. If you are a hard-core developer, then you may find some of the contents disturbing.
Generalized B2B Machine Learning by Andrew WaageData Con LA
Abstract:- In this talk, we propose a generalized machine learning framework for e-commerce businesses. The framework is responsible for over 30 different user-level predictions including lifetime value, recommendations, churn predictions, engagement and lead scoring. These predictions provide a vital layer of intelligence for a digital marketer. Kinesis is used to capture browsing information from over 120M users across 100 companies (both in-app and web). A data processing and feature engineering layer is build on Apache Spark. These features provide inputs to predictive models for business applications. Different models each for Churn, Lifetime value, Product recommendation and search are written on Spark. These models can be plugged into any marketing campaign for any integrated e-commerce company leading to a generalized system. We finally present a monitoring system for machine learning called RS Sauron. This system provides more than 200 objective metrics measuring the health of predictive models, and depicts KPIs for model accuracy in a continual setting.
Changing landscape of front end. How does it impact your business?Frosmo
The document discusses how the changing landscape of front-end development impacts businesses. It notes the growing expectations of consumers for superior digital experiences. It also discusses how front-ends are increasingly being separated from back-ends using approaches like headless architectures and microservices. This allows front-ends to be faster, more flexible, and compatible with any device. However, it can also introduce challenges like increased complexity. The document promotes Frosmo as a platform that can help businesses optimize digital experiences and overcome challenges of separated front-ends through capabilities like testing, personalization, recommendations, and AI modeling.
Keynote GraphTour Europe 2019, Emil Eifrem, CEO & Co-Founder Neo4jNeo4j
This document is a presentation by Emil Eifrem, CEO of Neo4j, about graphs and graph databases. The presentation discusses the state and future of graphs, including how graph databases are being used by many large companies and that their use is expected to grow significantly. It also discusses how graphs can enhance artificial intelligence by providing more context and connections in data.
The document summarizes an agenda for a Neo4j GraphTour event in Milan. It includes:
1. Welcome messages from Neo4j team members and an overview of the agenda which will focus on making connections and learning about graph databases.
2. A discussion of the state of graph technologies and their increasing popularity and adoption by enterprises in various industries.
3. An explanation of how graphs are enabling new applications and use cases, and fueling three waves of graph adoption related to relationships, recommendations, and AI.
4. An overview of how Neo4j is enhancing its platform to support analytics, tooling, and graph-enhanced AI and machine learning techniques.
5
In this presentation, Aishwarya introduces SMAC and associated trends. Aishwarya's interest areas lies in data mining to find out "Why a customer buys a certain product" which will help business in making better product decisions.
Why should you invest in LEO CDP ?
Purpose: Big data and AI democracy for SMEs companies
Problem: Customer Analytics and Customer Personalization
Solutions: CDP + CX + Personalization Engine
Product demo: LEO CDP for Ecommerce and Fintech
Business model: Freemium → Ecosystem → Subscription
Market size: 20 billion USD in 2026 and CAGR 34.6%
Differentiation: cloud-native software
Go-to-market approach: Community → Free → Paid
Team: 1 full-stack dev, 1 data scientist and 12,000 fans of BigDataVietnam.org Community
Need 150,000 USD for scaling business (you get 20% share)
From dataism to customer data platform from Triều NguyễnDuy, Vo Hoang
This document discusses Dataism and how businesses can use the LEO Customer Data Platform (CDP) in a Dataist mindset. It begins by asking why Dataism is important for humans, business, and society. It then explains how LEO CDP can unify customer data from different sources to create a single customer profile with scores and predictions. This allows businesses to classify, segment, and activate customers more effectively. The document recommends applying Dataism principles like observing customer data without coding or SQL to gain insights for a book retail business. It concludes by thanking the audience and providing contact information.
An Innovative Big-Data Web Scraping Tech CompanyRoger Giuffre
WebRobot is a London-based company that operates in the web scraping and mining industry. It aims to become a leader by building a scalable infrastructure for data acquisition as a web service, exploiting cloud computing and big data technologies. WebRobot's goal is to become a complete ETL service involving data extraction, web mining, machine learning, and big data analytics to help companies acquire and manage online data. The company is currently finalizing its first version and needs funding to further develop its algorithms and tools.
Big Data Expo 2015 - Savision Optimizing IT OperationsBigDataExpo
Today’s IT Operations are more complex than ever; Private Clouds, Public Clouds, users accessing the datacenters from any device, have dramatically increased the number of data points for IT Operations. We will discuss how IT Operations Analytics and Business Service Management can help with these big data challenges.
This was a presentation focused on software technology trends given at the Computer Associates Council meeting held in Prague on May 15, 2007. There is a slant towards IT management and alignment of IT and business. Covers lots of ground as an update.
The document discusses the shifting landscape of business analytics and a roadmap for data warehouse modernization. It outlines challenges like traditional BI strategies no longer being sufficient and business taking over analytics. It then introduces the concept of bimodal IT, with Mode 1 focusing on reliability and Mode 2 on agility. The roadmap involves embracing self-service BI, using a cloud data platform like Google BigQuery, offering personal sandboxes, experimenting with citizen tools, building core datasets in the cloud, and migrating to a future data warehouse with a full data lake. The goal is providing a powerful environment combining personal sandboxes and core datasets.
An Innovative Big-Data Web Scraping Tech CompanyRoger Giuffre
WebRobot is a London-based company that aims to become a leader in web scraping and mining by building a scalable infrastructure for customers to extract data from websites as a web service. The company aims to solve the challenge businesses face in collecting large amounts of unstructured data from the web in an affordable way. WebRobot's technology will integrate cloud computing, big data techniques, and data extraction algorithms to automatically gather and organize web data for customers in industries like e-commerce, financial services, and marketing. The founders have experience in this area and are seeking investment to further develop the technology and grow the business.
2012.05 Liferay and Emeldi Road Show, Dusan BystrianskyEmeldi Group
The document discusses maximizing the customer experience through online customer self-service portals. It outlines challenges in implementing enterprise portals, such as integrating with backend systems and handling high user volumes. The presentation then summarizes Telefonica O2 Slovakia's implementation of an integrated ePortal using Liferay to provide self-service and e-commerce capabilities. Key aspects included addressing integration challenges, utilizing profiling and personalization, and increasing online sales and traffic to self-service pages.
This document discusses how digital disruptions are changing businesses and the need for data integration (DI) modernization. It emphasizes that data is crucial for digital businesses and an efficient DI platform is key to success. The document outlines strategies like the big bang or 2-speed approach for DI modernization. It also highlights capabilities needed like API-based integration, stream computing, cloud infrastructure and logical data warehousing. Finally, it stresses the importance of adopting an agile operating model and DevOps culture for lean execution of the DI transformation.
Digital River was dealing with data quality issues due to having commerce data spread across multiple platforms as a result of acquisitions. They addressed this by centralizing all transaction data into a single source of truth enterprise resource planning (ERP) system with the aid of a data governance program. This involved aligning data from different platforms that had various data capture points, workflows, payment methods and terminology. They established a data governance framework based on the Data Management Body of Knowledge (DMBOK) to define governance processes, roles and technology to manage data quality.
1) Learn about Myplanet's Headless CMS solution using Gatsby Preview and Contentful’s UI Extensions (https://www.contentful.com/resources/serverless/)
2) their Serverless project with IBM - using Apache OpenWhisk (https://www.ibm.com/cloud/functions)
3) how Myplanet got involved with AWS DeepRacer - a fun way to get started with Reinforcement Learning (RL), and their racing experience at re:Invent DeepRacer League (https://reinvent.awsevents.com/learn/deepracer/)
4) their Machine Learning (ML) research related to finding DeepRacer’s ideal line (https://medium.com/myplanet-musings/the-best-path-a-deepracer-can-learn-2a468a3f6d64).
BONUS: Two TED Talks referenced in the intro
5) When ideas have sex | Matt Ridley | Jul 14, 2010 https://www.ted.com/talks/matt_ridley_when_ideas_have_sex
6) Why The Best Leaders Make Love The Top Priority | Matt Tenney | Dec 5, 2019 https://www.youtube.com/watch?v=qCVoohdyI6I
VIDEO: https://youtu.be/ZH1xxmBNx5k
The board meeting covered highlights from each team member's location, including advantages of different startup ecosystems. Key challenges were discussed around team building, branding, and software intellectual property. Action items from the previous meeting on these topics were reviewed. The board deliberated on next steps to resolve challenges by focusing on team culture, finalizing the logo and positioning, and selecting appropriate technologies. The next board meeting was scheduled.
Pasi Vuorio is a 38-year-old entrepreneur, consultant, software architect and trainer with 16 years of experience in IT and expertise in areas like cloud services, agile processes, and software architecture. He has experience leading large multinational projects, founding his own startup company, and providing consulting and training services in digital business and technologies. He is seeking new clients and offers assistance with strategies like ecommerce, software development, cloud architecture, and agile project management.
Describing the computing revolution that is disputing business models. Why the elastic computing capabilities is the ultimate weapon to survive into the digital economy.
Enterprise Architecture in Practice: from Datastore to APIs and AppsWSO2
This document provides an overview of enterprise architecture and integration challenges. It discusses the evolution from client-server to peer-to-peer architectures and common integration problems. The document outlines approaches to solving integration problems including getting data to and from systems, focusing on predictable outcomes through standards and best practices, and developing iteratively. It then provides an example approach involving starting with both data and APIs/apps, testing initial plans, facilitating data access, designing interfaces for users and third parties, and connecting different technologies while avoiding over-engineering solutions. The document promotes the WSO2 integration platform as offering open source products for connecting systems but notes there is no single best solution and the unexpected will occur.
[Notes] Customer 360 Analytics with LEO CDPTrieu Nguyen
Part 1: Why should every business need to deploy a CDP ?
1. Big data is the reality of business today
2. What are technologies to manage customer data ?
3. The rise of first-party data and new technologies for Digital Marketing
4. How to apply USPA mindset to build your CDP for data-driven business
Part 2: How to use LEO CDP for your business
1. Core functions of LEO CDP for marketers and IT managers
2. Data Unification for Customer 360 Analytics
3. Data Segmentation
4. Customer Personalization
5. Customer Data Activation
Part 3: Case study in O2O Retail and Ecommerce
1. How to build customer journey map for ecommerce and retail
2. How to do customer analytics to find ideal customer profiles
The ideal customer profile in a B2B context
The ideal customer profile in a B2C context
3. Manage product catalog for customer personalization
4. Monitoring Data of Customer Experience (CX Analytics)
CX Data Flow
CX Rating plugin is embedded in the website, to collect feedback data
An overview of CX Report
A CX Report in a customer profile
5. Monitoring data with real-time event tracking reports
Event Data Flow
Summary Event Data Report
Event Data Report in a Customer Profile
Part 4: How to setup an instance of LEO CDP for free
1. Technical architecture
2. Server infrastructure
3. Setup middlewares: Nginx, ArangoDB, Redis, Java and Python
Network requirements
Software requirements for new server
ArangoDB
Nginx Proxy
SSL for Nginx Server
Java 8 JVM
Redis
Install Notes for Linux Server
Clone binary code for new server
Set DNS hosts for LEO CDP workers
4. Setup data for testing and system verification
Part 5: Summary all key ideas
This document introduces Duet Enterprise, which allows business users to access and interact with SAP data and processes directly from Microsoft environments like SharePoint. It discusses how Duet Enterprise can help organizations meet challenges around enabling their people, driving productivity, and rapidly delivering business solutions. The document outlines sample Duet Enterprise solutions for invoice approvals and recruiting, and how these solutions streamlined processes and improved productivity. Finally, it discusses solution options available with Duet Enterprise as implementations grow in sophistication.
Progressive Waste Solutions was a large waste management company that was acquired by Waste Connections in 2016. After reviewing Progressive's existing technical stack, Waste Connections decided to continue using the solutions built on the Force.com platform and other cloud platforms. As Director of IT Architecture, Robert Drain led the implementation of various projects using Force.com between 2013-2016, including building out sales, customer service, and operational processes; integrating data from multiple sources; and creating dynamic dashboards. This helped drive organic growth and provided visibility into business metrics.
Similar to Why is LEO CDP important for digital business ? (20)
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1. The document outlines the Chief Platform Engineer's background and introduces LEO CDP, a customer data platform for the travel industry.
2. It discusses 5 challenges companies face related to customer growth, journeys, data platforms, communication and understanding customers with big data.
3. A case study shows how LEO CDP can be used to create a customer journey map for a travel agency, including personalized promotions and offers sent via email.
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The document outlines new features and updates for 2022 from USPA Technology Company, including a new dedicated dashboard for CMOs, updated UI for Customer 360 Insights, and a focus on data-driven business processes and digital marketing in B2B through standardizing data-driven processes and focusing on customer insights.
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1) Hiểu bài toán số hoá trải nghiệm khách hàng
2) Nghiên cứu giải pháp LEO CDP
3) Lộ trình triển khai
Phát triển / số hoá điểm chạm khách hàng
Xây dựng bản đồ hành trình khách hàng
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Xây dựng web portal và mobile data hub
Xây dựng kế hoạch Digital Marketing
Triển khai CDP và Marketing Automation
Xây dựng đội Analytics để phân tích dữ liệu
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2) How to collect customer data
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Transform your marketing and sales capabilities with Big Data and A.I
1) Why is Customer Data Platform (CDP) ?
Case study: Enhancing the revenue of your restaurant with CDP and mobile app marketing
Question: Why can CDP disrupt business model for restaurant industry (B2C) ?
2) How would CDP work in practice ?
Introducing USPA.tech as logical framework for implementing CDP in practice
How Can a Customer Data Platform Enhance Your Account-Based Marketing Strategy (B2B) ?
3) How can we implement CDP for business?
Introducing the CDP as customer-first marketing platform for all industries (my key idea in this slide)
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This document discusses how to build a personalized news recommendation platform. It explains that recommendation systems are needed to retain users, increase traffic, and improve the content experience. It describes popular techniques like collaborative filtering, content-based filtering, and hybrid systems. Specifically, it outlines a case study using a USPA framework with real social news data. Key factors for a news recommendation system are discussed like novelty, user history, and location. The document also provides a simple example of building a recommendation engine with Apache Spark.
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This document provides an introduction to Apache Hadoop and Spark for data analysis. It discusses the growth of big data from sources like the internet, science, and IoT. Hadoop is introduced as providing scalability on commodity hardware to handle large, diverse data types with fault tolerance. Key Hadoop components are HDFS for storage, MapReduce for processing, and HBase for non-relational databases. Spark is presented as improving on MapReduce by using in-memory computing for iterative jobs like machine learning. Real-world use cases of Spark at companies like Uber, Pinterest, and Netflix are briefly described.
Introduction to Recommendation Systems (Vietnam Web Submit)Trieu Nguyen
1) Why do we need recommendation systems ?
2) How can we think with recommendation systems ?
3) How can we implement a recommendation system with open source technologies ?
RFX framework https://github.com/rfxlab
Apache Kafka: https://kafka.apache.org
Apache Spark: https://spark.apache.org
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2. Các lĩnh vực đang ứng dụng Big Data ở Việt
Nam
3. Các bài toán Big Data tiêu biểu ở Vietnam
a. Quản lý chăm sóc khách hàng (CRM)
b. Tối ưu hoá trải nghiệm truyền hình Internet
c. Quảng cáo trực tuyến AdsPlay.net
4. Giới thiệu về công việc và thị trường việc làm
Big Data ở Việt Nam
5. Kiến thức nền tảng cho các bạn sinh viên
The document summarizes the results of a survey about online shopping in Vietnam. Some key findings include:
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- Popular online shopping sites in Vietnam include Lazada, Tiki, Zalora, and The Gioi Di Dong. Lazada has the most monthly users.
- Two-thirds of Vietnamese ages 18-39 in major cities have shopped online. Nearly half of those people have also used Facebook shopping.
- The top products purchased online are fashion, IT/mobile phones, and kitchen/home appliances. Lazada is the most widely used and recently used site.
Agenda:
• Background for the development: From commodity
to experience
• Indirect use of experiences: Experience as value
adding
• Experience process
• Selling pure experiences: Using the experience realm
model
• How to develop experiences
• Creating the experience settings
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Key ideas in this slide:
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2) Examples about Data Product in real life
3) How to build a Data Product
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12:30 Welcome Coffee/Light Lunch ☕
13:00 Event opening speech
Ebert Knol, Managing Partner, Tacstone Technology
Jonathan Smith, UiPath MVP, RPA Lead, Ciphix
Cristina Vidu, Senior Marketing Manager, UiPath Community EMEA
Dion Mes, Principal Sales Engineer, UiPath
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13:45 Break (30')
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"Making .NET Application Even Faster", Sergey Teplyakov.pptxFwdays
In this talk we're going to explore performance improvement lifecycle, starting with setting the performance goals, using profilers to figure out the bottle necks, making a fix and validating that the fix works by benchmarking it. The talk will be useful for novice and seasoned .NET developers and architects interested in making their application fast and understanding how things work under the hood.
"Hands-on development experience using wasm Blazor", Furdak Vladyslav.pptxFwdays
I will share my personal experience of full-time development on wasm Blazor
What difficulties our team faced: life hacks with Blazor app routing, whether it is necessary to write JavaScript, which technology stack and architectural patterns we chose
What conclusions we made and what mistakes we committed
"Building Future-Ready Apps with .NET 8 and Azure Serverless Ecosystem", Stan...Fwdays
.NET 8 brought a lot of improvements for developers and maturity to the Azure serverless container ecosystem. So, this talk will cover these changes and explain how you can apply them to your projects. Another reason for this talk is the re-invention of Serverless from a DevOps perspective as a Platform Engineering trend with Backstage and the recent Radius project from Microsoft. So now is the perfect time to look at developer productivity tooling and serverless apps from Microsoft's perspective.
"Building Future-Ready Apps with .NET 8 and Azure Serverless Ecosystem", Stan...
Why is LEO CDP important for digital business ?
1. Why is LEO CDP important
for digital business ?
Author: Nguyễn Tấn Triều (Thomas)
Personal Email: trieu@leocdp.com
Business Email: contact@uspa.tech
Copyright USPA Technology Company
https://leocdp.com
https://uspa.tech
2. Our roadmap
1. Current problems of digital business
2. My solution to solve problems
3. Demo for key functions of Leo CDP
3. Our roadmap
1. Current problems of digital business
2. My solution to solve problems
3. Demo for key functions of Leo CDP
7. CRM can manage lower funnel only (Action,Loyalty and Advocacy)
CDP can manage the whole data funnel (Awareness to Advocacy)
CDP
CRM
Manage Customer Funnel is the essential
process in modern business
(2000s - 2020s)
(2020s - 2040s)
9. Customer Database
Evolution of Customer Data Management Technology
Excel
1987 - now
1990s - now
Microsoft Access
MySQL
PostgreSQL
Oracle DBMS
1999 - now
Salesforce
SAP CRM
HubSpot Sales Hub
Sugar CRM
Zoho CRM
Odoo CRM
(2014 - now)
Segment.io
Salesforce CDP
Exponea
Adobe Experience Platform
Blueshift
SAP Customer Profile
Tealium AudienceStream
Apache Unomi
10. Our roadmap
1. Current problems of digital business
2. My solution to solve problems
3. Demo for key functions of Leo CDP
18. How to install LEO CDP (free edition)
https://knowledge.leocdp.net/p/how-to-setup-new-software-instance-of.html
The URL of LEO CDP (free edition)
https://trieu.github.io/leo-cdp-free-edition
20. LEO CDP is not just a tech, it is the #Dataism
21. This is the intellectual property of USPA Technology Company
Are you an investor and want to build the future of technology?
Contact me to fund this project at trieu@leocdp.com