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.
In this paper we have penetrate an era of Big Data. Through better analysis of the large volumes of data that are becoming available, there is the potential for making faster advances in many scientific disciplines and improving the profitability and success of many enterprises. However, many technical challenges described in this paper must be addressed before this potential can be realized fully. The challenges include not just the obvious issues of scale, but also heterogeneity, lack of structure, error-handling, privacy, timeliness, provenance, and visualization, at all stages of the analysis pipeline from data acquisition to result interpretation.
During this workshop a practical example of a web application will be developed. Its nature will be ludic (based on Sesame Street characters) but complex enough to put into spot the different features of Grails likewise as Domain Classes, Validators, GORM, Controllers, Services, Testing, etc. Everything will be developed using Groovy/Grails Tool Suite.
This workshop will cover all the commands necessary from the beginning of the project to its end, as well as the fine settings required to run it properly. The whole point will underline what Grails specific traits are over the other rapid development models in use at the moment.
All necessary program code to develop the workshop application will be supplied in advance to the attendants.
How to Crunch Petabytes with Hadoop and Big Data Using InfoSphere BigInsights...DATAVERSITY
Do you wonder how to process huge amounts of data in short amount of time? If yes, this session is for you! You will learn why Apache Hadoop and Streams is the core framework that enables storing, managing and analyzing of vast amounts of data. You will learn the idea behind Hadoop's famous map-reduce algorithm and why it is at the heart of solutions that process massive amounts of data with flexible workloads and software based scaling. We explore how to go beyond Hadoop with both real-time and batch analytics, usability, and manageability. For practical examples, we will use IBM InfoSphere BigInsights and Streams, which build on top of open source tooling when going beyond basics and scaling up and out is needed.
모든 것을 연결하여 최적의 인프라 기저를 형성하고 그 위에 빅데이터 저장 및 분석의 기반을 만들어 인공지능을 얹은 글로벌 시장의 리더와 붙을 수 있는 플랫폼을 소개합니다.
멀티벤더 지향의 기본 개념위에 메이저 금융S사의 지원으로 이미 많은 시스템 및 메이저 기업의 IoT데이터를 수집하여 빅데이터 분석을 진행중이며, S사의 로봇 기술 지원 및 향후 Drone의 제어, 데이터의 머신러닝등을 통하여 이미 글로벌 시장을 향하여 나아가고 있습니다.
많은 분들의 관심과 협력 부탁 드립니다.
문의 및 파트너쉽 : contact@littleworld.net
Big Data Expo 2015 - Data Science Center EindhoveBigDataExpo
Bestaande “Big Data” aanpakken richten zich op de onderliggende infrastructuur en komen niet vaak niet verder dan het tellen van aantallen en het afleiden van eenvoudige correlaties. De uitdaging is echter het omzetten van data (Big or small) in waarde en echt nieuwe inzichten. Innovatieve Data Science technieken maken dit mogelijk, zie bijvoorbeeld de recente ontwikkelingen op het gebied van process mining. Event data kunnen ingezet worden om automatisch het gedrag van mensen, producten en organisaties te ontdekken en te verbeteren. Wat zijn de oorzaken van afwijkingen en knelpunten? De antwoorden - en de sleutel tot verbetering - liggen vaak in de data. Zoals spreadsheets gebruikt worden om berekeningen uit te voeren, kunnen process mining tools dynamisch gedrag analyseren. Toepassingen lopen uiteen van het reduceren van wachtlijsten in ziekenhuizen tot het voorspellen van storingen in productie- en transportsystemen.
(SEC320) Leveraging the Power of AWS to Automate Security & ComplianceAmazon Web Services
"You’ve made the move to AWS and are now reaping the benefits of decreased costs and increased business agility. How can you reap those same benefits for your cloud security and compliance operations? As building cloud-native applications requires different skill sets, architectures, integrations, and processes, implementing effective, scalable, and robust security for the cloud requires rethinking everything from your security tools to your team culture.
Attend this session to learn how to start down the path toward security and compliance automation and hear how DevSecOps leaders such as Intuit and Capital One are using AWS, DevOps, and automation to transform their security operations.
Session sponsored by evident.io"
VMs All the Way Down (BSides Delaware 2016)John Hubbard
Just getting started in InfoSec and need some guidance on virtualization? Used virtual machines before, but want to expand to a more complex, dedicated virtual lab? This talk will cover the numerous hardware and software options you should consider, and will discuss both simple and complex configurations. The focus will be on setting up a lab that is home friendly, inexpensive, and as flexible as possible. Offense and defense setups will be discussed, as well as recommendations for virtualization software, server hardware, and networking gear. You will leave with a list of VMs to use, an understanding of the benefits of hosted vs. bare metal hypervisors, different virtualization packages, and how to build an inexpensive lab that emulates a multi-tiered corporate environment.
Big Data Expo 2015 - Trillium software Big Data and the Data QualityBigDataExpo
Successful Big Data initiatives rely on accurate, complete data, but the information they draw on is often not validated when it enters an organization. In this session we will look at the challenges big data brings to an organization, and how data quality principles are adapting to ensure business goals and return on investments in big data are realised. We will cover:
- Challenges of big data
- Turning data lakes into reservoirs
- How data quality tools are adapting
- Why data governance disciplines remain crucial
Het business model cavans model met nederlandse toelichting en uitleg in de verschillende velden. Tip print het op A3 uit als je er mee aan de slag gaat.
(MBL303) Get Deeper Insights Using Amazon Mobile Analytics | AWS re:Invent 2014Amazon Web Services
Choosing the right mobile analytics solution can help you understand user behavior, engage users, and maximize user lifetime value. After this session, you will understand how you can learn more about your users and their behavior quickly across platforms with just one line of code using Amazon Mobile Analytics.
If you have a CI or FS polygraph please join us (register at https://clearedjobs.net/job-fair/fair/62/) to meet with employers, network with other cleared professionals and have your resume professionally reviewed. The Job Seeker Handbook contains a listing of all employers and some of the positions they will be seeking to fill at the Poly-Only Cleared Job Fair.
This white paper introduces the EMC Isilon scale-out data lake as the key enabler to store, manage, and protect unstructured data for traditional and emerging workloads.
This White Paper provides an introduction to the EMC Isilon scale-out data lake as the key enabler to store, manage, and protect unstructured data for traditional and emerging workloads.
Data Protection in the cloud, On-premises & anywhere in between.
A company’s most important asset is its data. No matter what a business’s data is comprised of, patent filings, architectural blueprints, medical files, customer account details, etc., it is critical to have comprehensive backup and disaster recovery plans to mitigate potential loss or access.
OCRE Workshop: Shaping the Earth Observation Services Market for Research. Session 3: Presentations from DIAS and eoMALL.
This workshop aims to bring the EO service providers closer to the research community, capture their needs and develop fit for purpose EO services.
The event will be the 4th OCRE Requirements Gathering Workshop. Researchers and Earth Observation Service Providers will be asked to provide inputs to help us shape OCRE's tender.
The OCRE project aims to provide the first end-to-end instance of organised, large-scale market pull for EO services in Europe. These services will be provided for free to EU researchers through the European Open Science Cloud. To ensure that the services meet the actual needs of the research community we invite both the demand and the supply side, to share their views and engage in a productive dialogue. Our aim is to capture the needs of EU researchers and inform the EO service providers so that they make available services that effectively address them. We will also explain how the OCRE process will work, how the different stakeholders should be involved and how to make the most of the foreseen benefits.
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.
In this paper we have penetrate an era of Big Data. Through better analysis of the large volumes of data that are becoming available, there is the potential for making faster advances in many scientific disciplines and improving the profitability and success of many enterprises. However, many technical challenges described in this paper must be addressed before this potential can be realized fully. The challenges include not just the obvious issues of scale, but also heterogeneity, lack of structure, error-handling, privacy, timeliness, provenance, and visualization, at all stages of the analysis pipeline from data acquisition to result interpretation.
During this workshop a practical example of a web application will be developed. Its nature will be ludic (based on Sesame Street characters) but complex enough to put into spot the different features of Grails likewise as Domain Classes, Validators, GORM, Controllers, Services, Testing, etc. Everything will be developed using Groovy/Grails Tool Suite.
This workshop will cover all the commands necessary from the beginning of the project to its end, as well as the fine settings required to run it properly. The whole point will underline what Grails specific traits are over the other rapid development models in use at the moment.
All necessary program code to develop the workshop application will be supplied in advance to the attendants.
How to Crunch Petabytes with Hadoop and Big Data Using InfoSphere BigInsights...DATAVERSITY
Do you wonder how to process huge amounts of data in short amount of time? If yes, this session is for you! You will learn why Apache Hadoop and Streams is the core framework that enables storing, managing and analyzing of vast amounts of data. You will learn the idea behind Hadoop's famous map-reduce algorithm and why it is at the heart of solutions that process massive amounts of data with flexible workloads and software based scaling. We explore how to go beyond Hadoop with both real-time and batch analytics, usability, and manageability. For practical examples, we will use IBM InfoSphere BigInsights and Streams, which build on top of open source tooling when going beyond basics and scaling up and out is needed.
모든 것을 연결하여 최적의 인프라 기저를 형성하고 그 위에 빅데이터 저장 및 분석의 기반을 만들어 인공지능을 얹은 글로벌 시장의 리더와 붙을 수 있는 플랫폼을 소개합니다.
멀티벤더 지향의 기본 개념위에 메이저 금융S사의 지원으로 이미 많은 시스템 및 메이저 기업의 IoT데이터를 수집하여 빅데이터 분석을 진행중이며, S사의 로봇 기술 지원 및 향후 Drone의 제어, 데이터의 머신러닝등을 통하여 이미 글로벌 시장을 향하여 나아가고 있습니다.
많은 분들의 관심과 협력 부탁 드립니다.
문의 및 파트너쉽 : contact@littleworld.net
Big Data Expo 2015 - Data Science Center EindhoveBigDataExpo
Bestaande “Big Data” aanpakken richten zich op de onderliggende infrastructuur en komen niet vaak niet verder dan het tellen van aantallen en het afleiden van eenvoudige correlaties. De uitdaging is echter het omzetten van data (Big or small) in waarde en echt nieuwe inzichten. Innovatieve Data Science technieken maken dit mogelijk, zie bijvoorbeeld de recente ontwikkelingen op het gebied van process mining. Event data kunnen ingezet worden om automatisch het gedrag van mensen, producten en organisaties te ontdekken en te verbeteren. Wat zijn de oorzaken van afwijkingen en knelpunten? De antwoorden - en de sleutel tot verbetering - liggen vaak in de data. Zoals spreadsheets gebruikt worden om berekeningen uit te voeren, kunnen process mining tools dynamisch gedrag analyseren. Toepassingen lopen uiteen van het reduceren van wachtlijsten in ziekenhuizen tot het voorspellen van storingen in productie- en transportsystemen.
(SEC320) Leveraging the Power of AWS to Automate Security & ComplianceAmazon Web Services
"You’ve made the move to AWS and are now reaping the benefits of decreased costs and increased business agility. How can you reap those same benefits for your cloud security and compliance operations? As building cloud-native applications requires different skill sets, architectures, integrations, and processes, implementing effective, scalable, and robust security for the cloud requires rethinking everything from your security tools to your team culture.
Attend this session to learn how to start down the path toward security and compliance automation and hear how DevSecOps leaders such as Intuit and Capital One are using AWS, DevOps, and automation to transform their security operations.
Session sponsored by evident.io"
VMs All the Way Down (BSides Delaware 2016)John Hubbard
Just getting started in InfoSec and need some guidance on virtualization? Used virtual machines before, but want to expand to a more complex, dedicated virtual lab? This talk will cover the numerous hardware and software options you should consider, and will discuss both simple and complex configurations. The focus will be on setting up a lab that is home friendly, inexpensive, and as flexible as possible. Offense and defense setups will be discussed, as well as recommendations for virtualization software, server hardware, and networking gear. You will leave with a list of VMs to use, an understanding of the benefits of hosted vs. bare metal hypervisors, different virtualization packages, and how to build an inexpensive lab that emulates a multi-tiered corporate environment.
Big Data Expo 2015 - Trillium software Big Data and the Data QualityBigDataExpo
Successful Big Data initiatives rely on accurate, complete data, but the information they draw on is often not validated when it enters an organization. In this session we will look at the challenges big data brings to an organization, and how data quality principles are adapting to ensure business goals and return on investments in big data are realised. We will cover:
- Challenges of big data
- Turning data lakes into reservoirs
- How data quality tools are adapting
- Why data governance disciplines remain crucial
Het business model cavans model met nederlandse toelichting en uitleg in de verschillende velden. Tip print het op A3 uit als je er mee aan de slag gaat.
(MBL303) Get Deeper Insights Using Amazon Mobile Analytics | AWS re:Invent 2014Amazon Web Services
Choosing the right mobile analytics solution can help you understand user behavior, engage users, and maximize user lifetime value. After this session, you will understand how you can learn more about your users and their behavior quickly across platforms with just one line of code using Amazon Mobile Analytics.
If you have a CI or FS polygraph please join us (register at https://clearedjobs.net/job-fair/fair/62/) to meet with employers, network with other cleared professionals and have your resume professionally reviewed. The Job Seeker Handbook contains a listing of all employers and some of the positions they will be seeking to fill at the Poly-Only Cleared Job Fair.
This white paper introduces the EMC Isilon scale-out data lake as the key enabler to store, manage, and protect unstructured data for traditional and emerging workloads.
This White Paper provides an introduction to the EMC Isilon scale-out data lake as the key enabler to store, manage, and protect unstructured data for traditional and emerging workloads.
Data Protection in the cloud, On-premises & anywhere in between.
A company’s most important asset is its data. No matter what a business’s data is comprised of, patent filings, architectural blueprints, medical files, customer account details, etc., it is critical to have comprehensive backup and disaster recovery plans to mitigate potential loss or access.
OCRE Workshop: Shaping the Earth Observation Services Market for Research. Session 3: Presentations from DIAS and eoMALL.
This workshop aims to bring the EO service providers closer to the research community, capture their needs and develop fit for purpose EO services.
The event will be the 4th OCRE Requirements Gathering Workshop. Researchers and Earth Observation Service Providers will be asked to provide inputs to help us shape OCRE's tender.
The OCRE project aims to provide the first end-to-end instance of organised, large-scale market pull for EO services in Europe. These services will be provided for free to EU researchers through the European Open Science Cloud. To ensure that the services meet the actual needs of the research community we invite both the demand and the supply side, to share their views and engage in a productive dialogue. Our aim is to capture the needs of EU researchers and inform the EO service providers so that they make available services that effectively address them. We will also explain how the OCRE process will work, how the different stakeholders should be involved and how to make the most of the foreseen benefits.
Cloud & Big Data - Digital Transformation in Banking Sutedjo Tjahjadi
Datacomm Cloud Business Overview
Making Indonesia 4.0
Digital Transformation in Banking Industry
Introduction to Cloud Computing
Big Data Analytics Introduction
Big Data Analytics Application in Banking
Cross Domain Cyber Situational Awareness in a Multi Cloud, Multi-Network Fede...SolarWinds
Completely isolating mission critical clouds and networks is fundamental to maximize cyber security in defense, intelligence, law enforcement and certain commercial segments. However, the negative impact on IT operations is significant as each domain must be monitored and managed separately. Cross domain solutions are meant to reduce or eliminate this impact. Join us for a free webinar to learn how SolarWinds and BlueSpace have partnered to enable the SolarWinds Enterprise Operations Console to provide a global, enterprise view of the cyber environment across security domains and how your agency can benefit from a Cross Domain Cyber Situational Awareness solution.
Turtles, Trust and The Future of Cybersecurity
Faith in our institutions is collapsing, and GDPR is at the door. What would cybersecurity look like if we started from scratch, right now, in our hybrid, interdependent world? It would focus relentlessly on data. Learn how a data-centric security approach can reduce risk, increase efficiency and re-engineer trust in a society where faith has been shaken by unstoppable breaches.
Cloud computing, its types, its services, advantages and disadvantages.
Touch screen technology.
Database system, advantages and disadvantages.
Cores and their differences.
In shared infrastructures such as clouds, sensitive or regulated data—including run-time and archived data—must be properly segregated from unauthorized users. Database and system administrators may have access to multiple clients’ data, and the location of stored data in a cloud may change rapidly. Compliance requirements such as Payment Card Industry Data Security Standard (PCI-DSS), Health Insurance Portability and Accountability Act (HIPAA) and others may need to be met. This webinar will discuss how to help protect cloud-based customer information and intellectual property from both external and internal threats.
View the On-demand webinar: https://www2.gotomeeting.com/register/187735186
Government and Education Webinar: SolarWinds Orion Platform: Audit and Stream...SolarWinds
During this interactive webinar, our presenter discussed how to leverage major Orion® Platform alert features and use lessons learned and best practices to provide actionable information for events around your organization.
Attendees learned about:
Using enhanced node status and dependencies
Defining thresholds or baselines
Categorizing and filtering with custom properties and groups
Leveraging advanced alerting features to improve alert detail and reduce noise
Ensuring persistent issues generate or escalate alerts and alarms
Integrating with chat, ticketing, APIs, and/or SMS and providing detailed poll data
Alert actions for network devices, servers, or services on failure
Simplifying Data Governance and Security with a Logical Data Fabric (ASEAN)Denodo
Watch full webinar here: https://bit.ly/38UlhbN
In an increasingly distributed and complex data landscape, it is becoming increasingly difficult to govern and secure data effectively throughout the enterprise. Whether it be securing data across different repositories or monitoring access across different business units, the proliferation of data technologies and repositories across both on-premises and in the cloud is making the task unattainable. The challenge is only made greater by the ongoing pressure to offer self-service data access to business users.
Data Virtualization allows the creation of a logical data fabric layer that not only increases the agility of data provisioning but offers a simple, fast and cost-effective way to secure and governance all your data.
Tune in and learn:
- How to use a logical data fabric to build an enterprise-wide data access role model
- Centralize security when data is spread across multiple systems residing both on-premises and in the cloud
- Control and audit data access across different regions
Similar to Vasilis Bankov & Calin Iliescu AEGON (20)
Centric - Jaap huisprijzen, GTST, The Bold, IKEA en IENS. Zomaar wat toepassi...BigDataExpo
Tijdens deze presentatie wordt duidelijk hoe je machine learning kunt toepassen in het dagelijks leven. Denk aan het kopen van een huis, het kijken van Goede Tijden Slechte Tijden, shoppen bij IKEA en het bezoeken van restaurants.
In this session we'll dive into the journey that Google chooses to take in order focus on AI: what was the mindset, what were the challenges and what is the direction for the future.
Pacmed - Machine Learning in health care: opportunities and challanges in pra...BigDataExpo
The potential of personalized medicine based on machine learning is huge, but big challenges must be overcome to implement this technology in practice. Hidde will discuss both sides of the story, including a case study on the intensive care.
De Toekomst Verkenner is een ‘award winning’ innovatie van PGGM, die in een rap temp doorontwikkeling naar een platform maakt.
In zijn presentatie zal Mladen Sančanin vertellen hoe PGGM real time data en algoritmes heeft ingezet om dit platform te bouwen en hoe PGGM innovaties vanuit haar ‘Big Data Lab’ ondersteunt?
In een half uur worden veel ervaringen gedeeld over het opzetten van innovatieprojecten gebruik makend van data en het inrichten van data lab in een corporate omgeving.
Universiteit Utrecht & gghdc - Wat zijn de gezondheidseffecten van omgeving e...BigDataExpo
Het GGHDC onderzoekt wat de gezondheidseffecten zijn van omgeving en leefstijl in relatie tot het dagelijks leven van mensen. Het onderzoekscentrum is opgebouwd rond een gedeelde data- infrastructuur van de Universiteit Utrecht en het Universitair Medisch Centrum Utrecht (UMCU).
Rob van Kranenburg - Kunnen we ons een sociaal krediet systeem zoals in het o...BigDataExpo
IoT, Big Data, AI creëren een nieuwe situatie met betrekking tot het nemen van beslissingen door beleidsmakers. Toch verschuift er weinig in ons democratisch bestel, terwijl onze data in handen zijn van GAFA, China en andere nieuwe vormen van bestuur die nog ontstaan in de digitale transitie. Wij, in Europa, staan stil.
OrangeNXT - High accuracy mapping from videos for efficient fiber optic cable...BigDataExpo
Construction companies such as BAM Infra Telecom rely on accurate, up-to-date maps. Google Maps isn’t enough, but doing on-site surveys is expensive and time-consuming. However, driving through and recording 360° video from a car is cheap and easy. Using machine learning, we turn videos into highly accurate maps.
Dynniq & GoDataDriven - Shaping the future of traffic with IoT and AIBigDataExpo
Dynniq is a high-tech, innovative company offering smart mobility solutions and services internationally. We will present advanced IoT use cases Dynniq is working on, and share how GoDataDriven helps set up an AI capability. We will share our learnings, and show what makes data science in the mobility domain unique.
Teleperformance - Smart personalized service door het gebruik van Data Science BigDataExpo
Bij Teleperformance helpen we klanten waarde toe te voegen aan het klanttraject. We gebruiken Data Science voor onze Omnichannel-klantinteracties om de behoeften van de klant te voorspellen, zodat we het beste antwoord kunnen geven.
FunXtion - Interactive Digital Fitness with Data AnalyticsBigDataExpo
Digital is the new Personal. FunXtion Interactive is een interactieve trainingservaring voor zowel binnen als buiten de sportschool. FunXtion is revolutionair in de fitness branche en volledig data driven, by design. FunXtion laat zien hoe zij real-time data gebruiken voor ondersteuning van beslissingen, proces automatisering, personalisatie en product innovatie.
fashionTrade - Vroeger noemde we dat Big DataBigDataExpo
Big Data was de verzamelnaam voor alles wat je nog niet deed, maar al wel door Google of Amazon was uitgevonden. Inmiddels doen we al die dingen wel dus heet productaanbevelingen weer gewoon productaanbevelingen, fraudebestrijding weer fraudebestrijding, en spraakherkenning nog steeds spraakherkenning; geen Big Data. Geeft niet, want nu is er AI. Deze keynote legt uit of dat anders is, en waarom.
BigData Republic - Industrializing data science: a view from the trenchesBigDataExpo
What does it take to bring machine learning algorithms to production and start delivering business value? How can teams of data scientists and engineers effectively collaborate on a single product, integrate with existing IT systems and keep business stakeholders involved? Using real-life examples, we discuss the challenges and best practices.
Bicos - Hear how a top sportswear company produced cutting-edge data infrastr...BigDataExpo
Industry expert Dave Vanhoudt will set out his vision for the future of data infrastructure. Dave will highlight the key role automation must play in any data infrastructure strategy today, drawing on his current role with Medtronic, and past experiences at AB Inbev, Baxter, BMW and Nike.
Endrse - Next level online samenwerkingen tussen personalities en merken met ...BigDataExpo
Digitaal is vrijwel alles meetbaar. Maar het is vaak een uitdaging om de impact van samenwerkingen tussen influencers (topsporters) en bedrijven te analyseren. Start-up Endrse gebruikt AI om socialmediacontent te analyseren om content van influencers en bedrijven beter op elkaar te laten aansluiten. Zo maak je impact bij het publiek!
Bovag - Refine-IT - Proces optimalisatie in de automotive sectorBigDataExpo
De ontwikkelingen in de automotive sector gaan snel: elektrisch rijdende auto’s, de snelle groei van private lease, over the air connectiviteit, services on the demand en advanced driver assistance is zo maar een greep uit deze ontwikkelingen. Voorbeelden van (big) data ontwikkelingen die van grote invloed zijn op de automotive retail. De transitie naar een nieuw verdienmodel daagt uit tot samenwerken en datagedreven procesoptimalisatie.
Wilco Schellevis, directeur van Refine-IT en Renate Weggemans, manager strategie en beleid, bij BOVAG Autodealers, nemen u mee in de case Dely-App. Een mooi staaltje samenwerken en datagedreven procesoptimalisatie in de automotive retail; gevangen in één app.
Schiphol - Optimale doorstroom van passagiers op Schiphol dankzij slimme data...BigDataExpo
Schiphol is Europa’s best connected airport en verwerkt op piekdagen tot 235.000 passagiers. Om deze soepel door de processen te leiden is een betrouwbare prognose van de drukte noodzakelijk. Schiphol laat zien hoe zij datatoepassingen ontwikkelt om het aantal reizigers zo accuraat mogelijk te voorspellen en hiermee processen in te richten.
Veco - Big Data in de Supply Chain: Hoe Process Mining kan helpen kosten te r...BigDataExpo
Veco is marktleider op het gebied van het ontwerpen en vervaardigen van precisie delen middels electroformeren. In deze presentatie zal uitgeleverd worden hoe Veco succesvol Process Mining heeft ingezet in de productie om doorlooptijd te reduceren en new business te creëren. Tevens wordt uitgelegd wat Process Mining is.
Rabobank - There is something about DataBigDataExpo
Technologische mogelijkheden en GDPR, een continue clash? En hoe staat het met de het ethisch (her)gebruik van data? Leer in deze sessie van Rabobank’s Big Data journey en krijg inzicht in: organisatorische keuzes, data Lab technologie visie & data strategie, als enabler en accelerator van digitale innovatie en transformatie.
VU Amsterdam - Big data en datagedreven waardecreatie: valt er nog iets te ki...BigDataExpo
In zijn presentatie gaat Frans Feldberg in op het ‘Waarom, Wat, en Hoe’ van big data en datagedreven business model innovation. Hoe is de wereld, als het om data gaat, de laatste jaren veranderd? Waarom zijn big data, business analytics en kunstmatige intelligentie belangrijke digitale innovaties die hoog op menig managementagenda staat en waarom investeren organisaties aanzienlijk in big data en data science? Hoe kunnen organisaties waarde met data creëren door zowel het verbeteren van het bestaande business model als door nieuwe data-gedreven business modellen te ontwikkelen. Dit zijn vragen die in zijn presentatie beantwoord zullen worden.
Booking.com - Data science and experimentation at Booking.com: a data-driven ...BigDataExpo
At Booking.com we have experienced what a data driven organisation means for creating business impact. And what looks it like, when experimentation is part of your company culture.
During this session we will share our experiences and learnings on how data science and experimentation go hand in go.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
7. Context of Operation – delivering tailored financial management by mirroring customer needs in the services we use .
real-time packaging and underwriting of financial service and management
The ecosystems together derive
needs and and translate them in to
offerings
We need to be able to mirror
an individual’s humanity and
ambition in the services that
we use to manage their
financial health.
This requires us to grow a
strong relationship.
8.
9. Context of Operation – making data work for us
we need to be able to mirror personal needs within our tailored services that match our vision making bettering
returns on investment
The ecosystems manage the
Relationship of the customer
With services
Points of convergence – the more overlay we have here the better and timely match for convergence/sale
Our Business
Our Customer
10. Data Harmony
as energy never dies it simply takes different forms, so does data. This is a continuous
model driven by creativity and disruption and tamed by intelligence, knowledge and
operational feedback
Data Relevance 2 Lifecycle
Data Relevance 1 Lifecycle
Data Harmonic Lifecycle
The ecosystems together support
the data harmony models
11. THE AEGON ONE ECO-SYSTEM
MAKING SENSE OF DATA AND TRANSACTIONS & BUILDING TRUST
12. All Eco-System working in Harmony?
They can work singularly or as part of an interoperable suite.
OMNICHANNEL BI PORTAL
DATA IMPORT
DATA EXPORTDATA LAKE
DATA PUBLICATION
DATA LAB
13. THE ONE AEGON ECO-SYSTEM TECHNOLOGIES
1. USE CLOUD SERVICES AS MUCH AS POSSIBLE
2. USE OPEN-SOURCE AS MUCH AS POSSIBLE
3. USE TECHNOLOGY WITH SMALL COMPUTE FOOTPRINTS
4. USE STATELESS MICRO SERVICES (1 Compute : 1 Platform: 1 Task)
1. MOVE AWAY FROM LARGE CLUSTER TECHNOLOGY
2. SEPARATE COMPUTE FROM DATA
3. FIX ON A SINGLE CLOUD, ALLOW FOR INTEROPERATION WITH OTHER CLOUD SERVICES
4. KEEP DATA MOVEMENT TO A MINIMUM, MOVE COMPUTE AND MODELS
14. How do they interoperate ?
The whole is greater than the sum of the parts. But the parts
themselves are also very special
15. Data LAKE
Production Data & Meta Models
Production,
Business Data
Cold Storage
AI, ML – Neural Net (DLb) Taxanomic Processing *
Meta Model Search &
Data Publication
THE DATA LAKE ECOSYSTEM (DLk)
* this is Blooms taxonomy model
Data Exhausting
NOTE.
Each Eco-system can exist
on its own or any part of
this configuration as a suite.
16. THE DATA LAKE ECOSYSTEM (DLk)
DOMAINS WITHIN THE DATA LAKE ECOSYSTEM
17. THE DATA LAKE ECOSYSTEM (DLk)
ENGINEERING SCHEMATIC
[DATA LAKE]
18. TOP 10 CAPABILITIES OF THE DATA LAKE ECOSYSTEM
1. SECURE PRODUCTION DATA ON THE CLOUD
2. REGULATORY & SOVEREIGNTY GOVERNANCE AND COMPLIANCE BUILT-IN
3. VISIBILITY ON ALL PRODUCTION DATA CLASSES, QUALITY, COMPLETENESS AND LIFCYCLE
4. PUBLISH UP TO DATE & HISTORIC PRODUCTION DATA & ITS META MODELS ADHERING TO GOVERNABLE DATA CONTROLS
5. ANSWER ALL QUESTIONS ON PRODUCTION DATA USING SEMANTIC AI/ML WITHOUT HAVING TO ACCESS THE DATA
6. CREATION OF NEW DATA DICTIONARIES FOR DIGITAL ONLY WITHOUT DIRTYING CORE INDUSTRY DATA MODELS
7. SUPPORT DATA FEDERATION AT A LOCAL, COUNRTY, CONTINENT AND GLOBAL LEVEL.
8. ON THE CLOUD BUT INVISIBLE TO THE OUTSIDE WORLD
9. SINGLE POINT OF HUMAN ACCESS WITH SECURITY EXTRECATED FROM CLOUD SECURITY
10. FULLY AUDITABLE, MONITORED AND ALTERTED AT ANY LEVEL OF GRANULARITY LOCALLY AND GLOBALLY
19. Data Pub
Published Data & Meta Models(DP)
Data Exhausting
AI, ML – Neural Net (DLb) Taxanomic Processing *
Meta Model Search &
Data Publication
THE DATA PUBLICATION ECOSYSTEM (DP)
* this is Blooms taxonomy model
Production Data &
Meta Models (DLk)
Cold Storage
NOTE.
Each Eco-system can exist
on its own or any part of
this configuration as a suite.
20. THE DATA PUBLICATION ECOSYSTEM (DP)
DOMAINS WITHIN THE DATA PUBLICATION ECOSYSTEM
21. TOP 10 CAPABILITIES OF THE DATA PUBLICATION ECOSYSTEM
1. ACCESS TO MASSIVELY SCALABLE SECURED FIT-FOR-PURPOSE PRODUCTION DATA.
2. SUPPORT ANY DATA TECHNOLOGY WITHOUT HAVE TO WORRY ABOUT TECHNOLOGY SCHEMAS.
3. CREATE, REFRESH AND REMOVE DATA WITHOUT ANY ADVERSE AFFECTS TO DOWNSTREAM OR CROSSSTREAM FUNCTIONS
4. IMPORT DATA FROM EXTERNAL SOURCES SECURELY FOR FUNCTIONAL POINT OPERATIONAL REQUIREMENTS
5. CAN SUPPORT ALL OPERATIONAL ACCESS NEEDS - TEST, DEV, PRODUCTION – REDUCING REQUIRED ENVIRONMENTS
6. SECURE MULTITENANCY ACCESS TO DATA WITH NO FEAR FOR CROSS POLLINATION OR DATA LEAKAGE
7. SUPPORT DATA FEDERATION AT A LOCAL, COUNRTY, CONTINENT AND GLOBAL LEVEL.
8. ON THE CLOUD BUT INVISIBLE TO THE OUTSIDE WORLD
9. SINGLE POINT OF HUMAN ACCESS WITH SECURITY EXTRECATED FROM CLOUD SECURITY
10. FULLY AUDITABLE, MONITORED AND ALTERTED AT ANY LEVEL OF GRANULARITY LOCALLY AND GLOBALLY
22. Deployment architecture
Data LAB
BI REPORTS
Data Sets Creation
Analytics, Cubes, AI, ML, BOTS, Neural Nets Cells
Public, Social ,
Market Data & IoT
Data Exhausting
Taxanomic Data Science. AI ML Creation, Packaging
THE DATA LAB ECOSYSTEM (DLb)
Publication
Data Sets (DP)
NOTE.
Each Eco-system can exist
on its own or any part of
this configuration as a suite.
23. THE DATA LAB ECOSYSTEM (DLb)
DOMAINS WITHIN THE DATA LAB ECOSYSTEM
25. TOP 10 CAPABILITIES OF THE DATA LAB ECOSYSTEM
1. UNBOUNDED CREATIVE LAB FOR ALL THINGS DATA, AI, ML, ANALYTICS, INTELLIGENCE AND KNOWLEDGE.
2. NO NEED TO MOVE DATA OUT OF CLOUD TO EXECUTE MASSIVE COMPUTE AGAINST MASSIVE DATA
3. PACKAGE INTELLIGENCE, KNOWLEDGE AI, ML, INSIGHTS FOR USE WITHIN BUSINESS PROCESS AND OPERATION DASHBOARDS
4. GROW INTELLIGENCE FOR BOTS, BIOMETRIC IDENTITIES, FRAUD PREVENTION, TRUST EVALUATION
5. CAN SUPPORT ALL OPERATIONAL ACCESS NEEDS - TEST, DEV, PRODUCTION – REDUCING REQUIRED ENVIRONMENTS
6. SECURE MULTITENANCY ACCESS TO DATA WITH NO FEAR FOR CROSS POLLINATION OR DATA LEAKAGE
7. SUPPORT DATA FEDERATION AT A LOCAL, COUNRTY, CONTINENT AND GLOBAL LEVEL.
8. ON THE CLOUD BUT INVISIBLE TO THE OUTSIDE WORLD
9. SINGLE POINT OF HUMAN ACCESS WITH SECURITY EXTRECATED FROM CLOUD SECURITY
10. FULLY AUDITABLE, MONITORED AND ALTERTED AT ANY LEVEL OF GRANULARITY LOCALLY AND GLOBALLY
26. Deployment architecture
BI Reporting
BI REPORTS
Data Sets Creation (DLb)
Analytics, Cubes, AI, ML, Neural Nets Cells
Public, Social ,
Market Data & IoT
Data Exhausting
Data Science. AI ML Creation and Packaging
Publication
Data Sets (DP)
THE BI PORTAL ECOSYSTEM (BI)
BI REPORTS
BI DASHBOARDS
NOTE.
Each Eco-system can exist
on its own or any part of
this configuration as a suite.
27. THE BI PORTAL ECOSYSTEM (BI)
DOMAINS WITHIN THE BI PORTAL ECOSYSTEM
29. TOP 10 CAPABILITIES OF THE BI PORTAL ECOSYSTEM
1. BOUNDED PORTAL TO DELIVER DASHBOARD AND REPORTS ACROSS ALL MEDIUMS AND ASSOCIATED DEVICES
2. NO NEED TO MOVE DATA OUT OF CLOUD TO SUPPORT ACCESS AT SCALE
3. PACKAGE REPORTING DATA FROM EXTERNAL SOURCE – REGULATORS, PARTNERS, SHAREHOLDERS, CUSTOMERS
4. REPORT AND REALTIME CHANGES BASED ON BOTH INTERNAL, EXTERNAL AND BLENDED INSIGHTS
5. CAN SUPPORT ALL OPERATIONAL ACCESS NEEDS - TEST, DEV, PRODUCTION – REDUCING REQUIRED ENVIRONMENTS
6. SECURE MULTITENANCY ACCESS TO DATA WITH NO FEAR FOR CROSS POLLINATION OR DATA LEAKAGE
7. SUPPORT DATA FEDERATION AT A LOCAL, COUNRTY, CONTINENT AND GLOBAL LEVEL.
8. ON THE CLOUD BUT INVISIBLE TO THE OUTSIDE WORLD
9. SINGLE POINT OF HUMAN ACCESS WITH SECURITY EXTRECATED FROM CLOUD SECURITY
10. FULLY AUDITABLE, MONITORED AND ALTERTED AT ANY LEVEL OF GRANULARITY LOCALLY AND GLOBALLY
30. Deployment architecture
BI REPORTS
Data Sets Creation (DLb)
AI, ML, Neural Nets Cells (DLb)
Public, Social ,
Market Data & IoT
Production Writes/Alerts
Data Science. AI ML Creation and Packaging
Publication
Data Sets (DP)
THE OMNICHANNEL ECOSYSTEM (OC)
Customer, Business, Bots & API Interactions
NOTE.
Each Eco-system can exist
on its own or any part of
this configuration as a suite.
32. THE DATA EXPORT Hub ECOSYSTEM (DEh)
* this is Blooms taxonomy model
Production Data &
Meta Models (DLk/b)
Partners & Regulators
NOTE.
Each Eco-system can exist
on its own or any part of
this configuration as a suite.
33. THE DATA EXPORT Hub ECOSYSTEM (DEh)
DOMAINS WITHIN THE DATA EXPORT ECOSYSTEM
35. TOP 10 CAPABILITIES OF THE DATA EXPORT ECOSYSTEM
1. PACKAGES DATA FOR EXPORT UNDER STRICT GOVERNANCE AND DATA CONTROLS
2. SUPPORTS ALL EXTERNAL DATA INTEGRATIONS AND INTERPORATIONAL PROTOCOLS AND SECURITY
3. SUPPORTS ACCESS WINDOWS TO ENSURE TIGHTER LEVEL OF SECURITY ON VISIBLE ACCESS POINTS
4. PROVIDES OPEN API SECURED FOR A MORE RELAXED PARTNER ACCESS TO DATA
5. SUPPORTS ALL DATA TYPES ACROSS THE ECOSYSTEM TOPOLOGY AND ALL DATA FORMATS
6. CAN SUPPORT ALL OPERATIONAL ACCESS NEEDS - TEST, DEV, PRODUCTION – REDUCING REQUIRED ENVIRONMENTS
7. SECURE MULTITENANCY ACCESS TO DATA WITH NO FEAR FOR CROSS POLLINATION OR DATA LEAKAGE
8. SUPPORT DATA FEDERATION AND SERVICE COMBINATION AT A LOCAL, COUNRTY, CONTINENT AND GLOBAL LEVEL.
9. SINGLE POINT OF HUMAN ACCESS WITH SECURITY EXTRECATED FROM CLOUD SECURITY
10. FULLY AUDITABLE, MONITORED AND ALTERTED AT ANY LEVEL OF GRANULARITY LOCALLY AND GLOBALLY
36. THE DATA IMPORT Hub ECOSYSTEM (DIh)
* this is Blooms taxonomy model
Production Data &
Meta Models (DLk/b)
Partners & Regulators
NOTE.
Each Eco-system can exist
on its own or any part of
this configuration as a suite.
37. THE DATA IMPORT Hub ECOSYSTEM (DIh)
DOMAINS WITHIN THE DATA IMPORT ECOSYSTEM
39. TOP 10 CAPABILITIES OF THE DATA IMPORT ECOSYSTEM
1. IMPORTS DATA FROM EXTERNAL SOURCES AND PARTNERS UNDER STRICT GOVERNANCE AND DATA CONTROL
2. SUPPORTS ALL EXTERNAL DATA INTEGRATIONS AND INTERPORATIONAL PROTOCOLS AND SECURITY
3. SUPPORTS VIRUS AND MALWARE PROTECTION ON ACROSS ALL IMPORTS AND HEADER ANALYSIS
4. PROVIDES OPEN API SECURED FOR A MORE RELAXED PARTNER DEPLOYMENT OF DATA
5. SUPPORTS ALL DATA TYPES AND APPORPRIATE TRANSFORMATIONS
6. CAN SUPPORT ALL OPERATIONAL ACCESS NEEDS - TEST, DEV, PRODUCTION – REDUCING REQUIRED ENVIRONMENTS
7. SECURE MULTITENANCY ACCESS TO DATA WITH NO FEAR FOR CROSS POLLINATION OR DATA LEAKAGE
8. SUPPORT DATA FEDERATION AND SERVICE COMBINATION AT A LOCAL, COUNRTY, CONTINENT AND GLOBAL LEVEL.
9. SINGLE POINT OF HUMAN ACCESS WITH SECURITY EXTRECATED FROM CLOUD SECURITY
10. FULLY AUDITABLE, MONITORED AND ALTERTED AT ANY LEVEL OF GRANULARITY LOCALLY AND GLOBALLY
40. DELIVERY OF GLOBAL DATA, INSIGHTS, INTELLIGENCE
ONE AEGON
BIG DATA ON A GLOBAL SCALE
GLOBAL INTELLIGENCE CREATION
LOCAL INTELLIGENT EXECUTION
MOVE ALGORITHM AND MODELS
NOT DATA AND COMPUTE
41. WE HAVE ALREADY STARTED ON TOMORROWS JOURNEY?
% of Completion for fully working operational eco-suite.
55% 35%
35%50%20%
10%3%
The dev to date is driven through JIT
Dev based on business need
NOTE.
Each Eco-system can exist
on its own or any part of
this configuration as a suite.
42.
43. Current Deployments
User Usage
Type
Data Lake Data Lab Data Exp Data Imp BI Portal Data Pub Omni
Channel
KNAB PROD * * * * * *
AAM POC * * *
AEGON
LIFE
POC * *
NL POC * *
SPAIN POC * * * * * *
OPERATIONAL AREAS COVERED
BANKING, INSURANCE, ASSETMANAGEMENT – ONE FABRIC – MANY SOLUTIONS – ONE ECOSYSTEM