This document discusses building a data-driven organization by leveraging different types of data. It notes that data has value both as oil (lubricant) and gold (when it needs protection and value). An organization's data architecture must balance these two perspectives. It also discusses how big data and fast data fit into such an architecture. The document advocates for shared, open, and reliable data across an organization to drive insights and business value.
Watch full webinar here: https://bit.ly/2Y0vudM
What is Data Virtualization and why do I care? In this webinar we intend to help you understand not only what Data Virtualization is but why it's a critical component of any organization's data fabric and how it fits. How data virtualization liberates and empowers your business users via data discovery, data wrangling to generation of reusable reporting objects and data services. Digital transformation demands that we empower all consumers of data within the organization, it also demands agility too. Data Virtualization gives you meaningful access to information that can be shared by a myriad of consumers.
Register to attend this session to learn:
- What is Data Virtualization?
- Why do I need Data Virtualization in my organization?
- How do I implement Data Virtualization in my enterprise?
Data Services and the Modern Data Ecosystem (Middle East)Denodo
Watch full webinar here: https://bit.ly/3xdSTIU
Digital Transformation has changed IT the way information services are delivered. The pace of business engagement, the rise of Digital IT (formerly known as “Shadow IT), has also increased demands on IT, especially in the area of Data Management. Data Services exploits widely adopted interoperability standards, providing a strong framework for information exchange but also has enabled a growth of robust systems of engagement that can now exploit information that was normally locked away in some internal silo.
Join us for our upcoming Middle East Webinar series episode, “Data Services and the Modern Data Ecosystem,” presented by Chief Evangelist MEA, Alexey Sidorov. Tune-in as we explore how a business can easily support and manage a Data Service ecosystem, providing a more flexible approach for information sharing supporting an ever diverse community of consumers.
Watch on-demand this webinar to learn:
- Why Data Services are a critical part of a modern data ecosystem
- How IT teams can manage Data Services and the increasing demand by businesses
- How Digital IT can benefit from Data Services and how this can support the need for rapid prototyping allowing businesses to experiment with data and fail fast where necessary.
- How a good Data Virtualization platform can encourage a culture of Data amongst business consumers (internally and externally)
Watch full webinar here: https://bit.ly/2Y0vudM
What is Data Virtualization and why do I care? In this webinar we intend to help you understand not only what Data Virtualization is but why it's a critical component of any organization's data fabric and how it fits. How data virtualization liberates and empowers your business users via data discovery, data wrangling to generation of reusable reporting objects and data services. Digital transformation demands that we empower all consumers of data within the organization, it also demands agility too. Data Virtualization gives you meaningful access to information that can be shared by a myriad of consumers.
Register to attend this session to learn:
- What is Data Virtualization?
- Why do I need Data Virtualization in my organization?
- How do I implement Data Virtualization in my enterprise?
Data Services and the Modern Data Ecosystem (Middle East)Denodo
Watch full webinar here: https://bit.ly/3xdSTIU
Digital Transformation has changed IT the way information services are delivered. The pace of business engagement, the rise of Digital IT (formerly known as “Shadow IT), has also increased demands on IT, especially in the area of Data Management. Data Services exploits widely adopted interoperability standards, providing a strong framework for information exchange but also has enabled a growth of robust systems of engagement that can now exploit information that was normally locked away in some internal silo.
Join us for our upcoming Middle East Webinar series episode, “Data Services and the Modern Data Ecosystem,” presented by Chief Evangelist MEA, Alexey Sidorov. Tune-in as we explore how a business can easily support and manage a Data Service ecosystem, providing a more flexible approach for information sharing supporting an ever diverse community of consumers.
Watch on-demand this webinar to learn:
- Why Data Services are a critical part of a modern data ecosystem
- How IT teams can manage Data Services and the increasing demand by businesses
- How Digital IT can benefit from Data Services and how this can support the need for rapid prototyping allowing businesses to experiment with data and fail fast where necessary.
- How a good Data Virtualization platform can encourage a culture of Data amongst business consumers (internally and externally)
Role of Unified AI and ML in Cloud Technologies. Which Cloud Service Provider...Denodo
Watch full webinar here: https://bit.ly/3hpTRep
AI and ML help automate many of the enterprise tasks. What role do they play in cloud technologies? And, different cloud service providers (CSP) claim AI and ML capabilities within their technologies. But which one has better support for data science? Does any one CSP provide better tools and automation for data scientists to perform their analysis with ease and speed? The Chief AI Architect from UST will elaborate on the differences between cloud technologies for supporting AI, ML, and data science. Do you have additional questions that you want answered on this subject? Then bring them on.
Creating a Healthcare Data Fabric, and Providing a Single, Unified, and Curat...Denodo
Watch full webinar here: https://bit.ly/32jYpiD
Data fragmentation, multiple data sources and interoperability are a significant part of the challenges facing modern healthcare. We will focus our session on how to address these through a combination of a Universal Healthcare Data Fabric that leverages Denodo’s latest platform, as well as components that have been developed specifically for healthcare systems, based on the FHIR standard.
Lewis Crawford's presentation from the BI Boss event in Leeds, focussing on our perspective on Big Data, Big Data projects, what to avoid, and how to make it work for you.
Reinventing and Simplifying Data Management for a Successful Hybrid and Multi...Denodo
Watch full webinar here: https://bit.ly/3AdAzkW
Hybrid cloud has become the standard for businesses. A successful move will involve using an intelligent and scalable architecture and seeking the right help. At the same time, multi-cloud strategies are on the rise. More enterprise organizations than ever before are analyzing their current technology portfolio and defining a cloud strategy that encompasses multiple cloud platforms to suit specific app workloads, and move those workloads as they see fit. Learn the key challenges in multi-hybrid data management, and how you can accelerate your digital transformation journey in a multi-cloud environment with data virtualization.
Implementar una estrategia eficiente de gobierno y seguridad del dato con la ...Denodo
Watch full webinar here: https://bit.ly/3lSwLyU
En la era de la explosión de la información repartida en distintas fuentes, el gobierno de datos es un componente clave para garantizar la disponibilidad, usabilidad, integridad y seguridad de la información. Asimismo, el conjunto de procesos, roles y políticas que define permite que las organizaciones alcancen sus objetivos asegurando el uso eficiente de sus datos.
La virtualización de datos forma parte de las herramientas estratégica para implementar y optimizar el gobierno de datos. Esta tecnología permite a las empresas crear una visión 360º de sus datos y establecer controles de seguridad y políticas de acceso sobre toda la infraestructura, independientemente del formato o de su ubicación. De ese modo, reúne múltiples fuentes de datos, las hace accesibles desde una sola capa y proporciona capacidades de trazabilidad para supervisar los cambios en los datos.
Le invitamos a participar en este webinar para aprender:
- Cómo acelerar la integración de datos provenientes de fuentes de datos fragmentados en los sistemas internos y externos y obtener una vista integral de la información.
- Cómo activar en toda la empresa una sola capa de acceso a los datos con medidas de protección.
- Cómo la virtualización de datos proporciona los pilares para cumplir con las normativas actuales de protección de datos mediante auditoría, catálogo y seguridad de datos.
Quicker Insights and Sustainable Business Agility Powered By Data Virtualizat...Denodo
Watch full webinar here: https://bit.ly/3xj6fnm
Presented at Chief Data Officer Live 2021 A/NZ
The world is changing faster than ever. And for companies to compete and succeed they need to be agile in order to respond quickly to market changes and emerging opportunities. Data plays an integral role in achieving this business agility. However, given the complex nature of the enterprise data architecture finding and analysing data is an increasingly challenging task. Data virtualization is a modern data integration technique that integrates data in real-time, without having to physically replicate it.
Watch on-demand this session to understand what data virtualization is and how it:
- Delivers data in real-time, and without replication
- Creates a logical architecture to provide a single view of truth
- Centralises the data governance and security framework
- Democratises data for faster decision making and business agility
Discover how Covid-19 is accelerating the need for healthcare interoperabilit...Denodo
Watch full webinar here: https://bit.ly/3cZDAvo
As COVID -19 continues to challenge entire healthcare ecosystems and forcing healthcare organizations to pivot without much notice, patient information interoperability and data transparency are increasingly taking center stage among healthcare stakeholders. This year, a new set of federal guidelines giving patients more access to their data goes into effect, improving interoperability. Even without this, most healthcare stakeholders would agree that better, and mobile, access, and interoperability of information could improve care and save time and lives.
Watch on-demand this webinar to learn:
- How health IT interoperability can help your healthcare organization move forward to better health reporting, patient matching and care coordination in 2021 and beyond.
- How to set up your healthcare organization for success through more information transparency, how this can help your healthcare stakeholders.
- COVID 19 has given federal agencies a lot of momentum to move even more quickly regarding implementing interoperability rules, what does this mean for your organization?
Role of Unified AI and ML in Cloud Technologies. Which Cloud Service Provider...Denodo
Watch full webinar here: https://bit.ly/3hpTRep
AI and ML help automate many of the enterprise tasks. What role do they play in cloud technologies? And, different cloud service providers (CSP) claim AI and ML capabilities within their technologies. But which one has better support for data science? Does any one CSP provide better tools and automation for data scientists to perform their analysis with ease and speed? The Chief AI Architect from UST will elaborate on the differences between cloud technologies for supporting AI, ML, and data science. Do you have additional questions that you want answered on this subject? Then bring them on.
Creating a Healthcare Data Fabric, and Providing a Single, Unified, and Curat...Denodo
Watch full webinar here: https://bit.ly/32jYpiD
Data fragmentation, multiple data sources and interoperability are a significant part of the challenges facing modern healthcare. We will focus our session on how to address these through a combination of a Universal Healthcare Data Fabric that leverages Denodo’s latest platform, as well as components that have been developed specifically for healthcare systems, based on the FHIR standard.
Lewis Crawford's presentation from the BI Boss event in Leeds, focussing on our perspective on Big Data, Big Data projects, what to avoid, and how to make it work for you.
Reinventing and Simplifying Data Management for a Successful Hybrid and Multi...Denodo
Watch full webinar here: https://bit.ly/3AdAzkW
Hybrid cloud has become the standard for businesses. A successful move will involve using an intelligent and scalable architecture and seeking the right help. At the same time, multi-cloud strategies are on the rise. More enterprise organizations than ever before are analyzing their current technology portfolio and defining a cloud strategy that encompasses multiple cloud platforms to suit specific app workloads, and move those workloads as they see fit. Learn the key challenges in multi-hybrid data management, and how you can accelerate your digital transformation journey in a multi-cloud environment with data virtualization.
Implementar una estrategia eficiente de gobierno y seguridad del dato con la ...Denodo
Watch full webinar here: https://bit.ly/3lSwLyU
En la era de la explosión de la información repartida en distintas fuentes, el gobierno de datos es un componente clave para garantizar la disponibilidad, usabilidad, integridad y seguridad de la información. Asimismo, el conjunto de procesos, roles y políticas que define permite que las organizaciones alcancen sus objetivos asegurando el uso eficiente de sus datos.
La virtualización de datos forma parte de las herramientas estratégica para implementar y optimizar el gobierno de datos. Esta tecnología permite a las empresas crear una visión 360º de sus datos y establecer controles de seguridad y políticas de acceso sobre toda la infraestructura, independientemente del formato o de su ubicación. De ese modo, reúne múltiples fuentes de datos, las hace accesibles desde una sola capa y proporciona capacidades de trazabilidad para supervisar los cambios en los datos.
Le invitamos a participar en este webinar para aprender:
- Cómo acelerar la integración de datos provenientes de fuentes de datos fragmentados en los sistemas internos y externos y obtener una vista integral de la información.
- Cómo activar en toda la empresa una sola capa de acceso a los datos con medidas de protección.
- Cómo la virtualización de datos proporciona los pilares para cumplir con las normativas actuales de protección de datos mediante auditoría, catálogo y seguridad de datos.
Quicker Insights and Sustainable Business Agility Powered By Data Virtualizat...Denodo
Watch full webinar here: https://bit.ly/3xj6fnm
Presented at Chief Data Officer Live 2021 A/NZ
The world is changing faster than ever. And for companies to compete and succeed they need to be agile in order to respond quickly to market changes and emerging opportunities. Data plays an integral role in achieving this business agility. However, given the complex nature of the enterprise data architecture finding and analysing data is an increasingly challenging task. Data virtualization is a modern data integration technique that integrates data in real-time, without having to physically replicate it.
Watch on-demand this session to understand what data virtualization is and how it:
- Delivers data in real-time, and without replication
- Creates a logical architecture to provide a single view of truth
- Centralises the data governance and security framework
- Democratises data for faster decision making and business agility
Discover how Covid-19 is accelerating the need for healthcare interoperabilit...Denodo
Watch full webinar here: https://bit.ly/3cZDAvo
As COVID -19 continues to challenge entire healthcare ecosystems and forcing healthcare organizations to pivot without much notice, patient information interoperability and data transparency are increasingly taking center stage among healthcare stakeholders. This year, a new set of federal guidelines giving patients more access to their data goes into effect, improving interoperability. Even without this, most healthcare stakeholders would agree that better, and mobile, access, and interoperability of information could improve care and save time and lives.
Watch on-demand this webinar to learn:
- How health IT interoperability can help your healthcare organization move forward to better health reporting, patient matching and care coordination in 2021 and beyond.
- How to set up your healthcare organization for success through more information transparency, how this can help your healthcare stakeholders.
- COVID 19 has given federal agencies a lot of momentum to move even more quickly regarding implementing interoperability rules, what does this mean for your organization?
Dat de snelle ontwikkelingen op het gebied van digitale technologie de samenleving veranderen is overduidelijk. We beseffen alleen nog niet altijd hoe ingrijpend die veranderingen zijn. Het gaat niet enkel over automatisering, of over het efficiënter maken van wat we al deden door het inzetten van nieuwe technologie. Steeds meer merk je dat de digitale revolutie de regels van het spel zelf verandert. Neem Uber als voorbeeld: het grootste taxibedrijf ter wereld bezit zelf geen enkele auto en zet zo het klassieke model van zaken doen helemaal op zijn kop.
Ook in de sfeer van educatie, gemeenschapsvorming, maatschappelijke en culturele actie zie je gelijkaardige ontwikkelingen.
In een dergelijke context verandert de manier waarop we aan sociaal-cultureel werk doen fundamenteel. De digitale transformatie dwingt je om de rol die je als organisatie speelt en de manier waarop je je doelen nastreeft grondig te bevragen en voor een stuk te herdefiniëren.
Hoe kunnen we digitale transformatie echt begrijpen? Wat betekenen deze ontwikkelingen voor het sociaal-cultureel werk? En hoe kunnen we ons ertoe verhouden? Jo Caudron, co-auteur van het boek 'Digital transformation', legt aan de hand van 7 metaforen uit wat digitale transformatie precies inhoudt.
Presentatie op studiedag "Sociaal-cultureel werk in digitale transformatie" (9 juni 2016).
Big Data Analytics to Enhance Security
Predictive Analtycis and Data Science Conference May 27-28
Anapat Pipatkitibodee
Technical Manager
anapat.p@Stelligence.com
SEE the Cloud: Hans Timmerman - De cloud daalt neer op aardeTOPdesk
Rond de eeuwwisseling ontstonden de eerste clouddiensten; internetdiensten zoals Hotmail die ons via browsers toegang gaven tot centrale processing en dataomgevingen. Een soort mainframe van het internet, maar dan in de vorm van een service waar hardware en software niet meer belangrijk waren.
Tegenwoordig is de cloud een begrip en worden veel van onze informatiediensten bij centrale cloud providers afgehandeld. Echter met de komst van het Internet of Things, wordt het cloud operations model ook interessant voor decentrale en lokale informatiediensten. Kleine cloudomgevingen waar snel data moet worden verwerkt, waar directe actie nodig is, of waar data gewoonweg niet mag worden verplaatst.
We noemen dat fog computing, met een knipoog naar die hoge, verre clouds aan de hemel. De cloud als mist dicht om ons heen die soms zelfs een nevel kan zijn van allerhande kleine informatiediensten. In deze presentatie wordt dieper ingegaan op de ontwikkelingen op dit gebied en de relevantie ervan op maatschappij en de (huidige) IT-organisatie.
Agile Data Management with Enterprise Data Fabric (Middle East)Denodo
Watch full webinar here: https://bit.ly/3td9ICb
In a world where machine learning and artificial intelligence are changing our everyday lives, digital transformation tops the strategic agenda in many private and government organizations. Data is becoming the lifeblood of a company, flowing seamlessly through it to enable deep business insights, create new opportunities, and optimize operations.
Chief Data Officers and Data Architects are under continuous pressure to find the best ways to manage the overwhelming volumes of the data that tend to become more and more distributed and diverse.
Moving data physically to a single location for reporting and analytics is not an option anymore – this is the fact accepted by the majority of the data professionals.
Join us for this webinar to know about the modern virtual data landscapes including:
- Virtual Data Fabric
- Data Mesh
- Multi-Cloud Hybrid architecture
and to learn how to leverage Denodo Data Virtualization platform to implement these modern data architectures.
Agile Data Management with Enterprise Data Fabric (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3juxqaw
In a world where machine learning and artificial intelligence are changing our everyday lives, digital transformation tops the strategic agenda in many private and government organizations. Data is becoming the lifeblood of a company, flowing seamlessly through it to enable deep business insights, create new opportunities, and optimize operations.
Chief Data Officers and Data Architects are under continuous pressure to find the best ways to manage the overwhelming volumes of the data that tend to become more and more distributed and diverse.
Moving data physically to a single location for reporting and analytics is not an option anymore – this is the fact accepted by the majority of the data professionals.
Join us for this webinar to know about the modern virtual data landscapes including:
- Virtual Data Fabric
- Data Mesh
- Multi-Cloud Hybrid architecture
- and to learn how to leverage the Denodo Data Virtualization platform to implement these modern data architectures.
Watch full webinar here: https://bit.ly/3puUCIc
What is Data Virtualization and why do I care? In this webinar we intend to help you understand not only what Data Virtualization is but why it's a critical component of any organization's data fabric and how it fits. How data virtualization liberates and empowers your business users via data discovery, data wrangling to generation of reusable reporting objects and data services. Digital transformation demands that we empower all consumers of data within the organization, it also demands agility too. Data Virtualization gives you meaningful access to information that can be shared by a myriad of consumers.
Watch on-demand this session to learn:
- What is Data Virtualization?
- Why do I need Data Virtualization in my organization?
- How do I implement Data Virtualization in my enterprise? Where does it fit?
Speaking to your data is similar to speak any other language, It starts with understanding the basic terminology and describing key concepts. This presentation will focus on the main/ key steps that are critical to learning the foundation of speaking data.
A Logical Architecture is Always a Flexible Architecture (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3joZa0a
The current data landscape is fragmented, not just in location but also in terms of processing paradigms: data lakes, IoT architectures, NoSQL, and graph data stores, SaaS applications, etc. are found coexisting with relational databases to fuel the needs of modern analytics, ML, and AI. The physical consolidation of enterprise data into a central repository, although possible, is both expensive and time-consuming. A logical data warehouse is a modern data architecture that allows organizations to leverage all of their data irrespective of where the data is stored, what format it is stored in, and what technologies or protocols are used to store and access the data.
Watch this session to understand:
- What is a logical data warehouse and how to architect one
- The benefits of logical data warehouse – speed with agility
- Customer use case depicting logical architecture implementation
Introduction to Cloud computing and Big Data-HadoopNagarjuna D.N
Cloud Computing Evolution
Why Cloud Computing needed?
Cloud Computing Models
Cloud Solutions
Cloud Jobs opportunities
Criteria for Big Data
Big Data challenges
Technologies to process Big Data- Hadoop
Hadoop History and Architecture
Hadoop Eco-System
Hadoop Real-time Use cases
Hadoop Job opportunities
Hadoop and SAP HANA integration
Summary
DevOps for Data Engineers - Automate Your Data Science Pipeline with Ansible,...Mihai Criveti
Automate your Data Science pipeline with Ansible, Python and Kubernetes - ODSC Talk
What is Data Science and the Data Science Landscape
Process and Flow
Understanding Data
The Data Science Toolkit
The Big Data Challenge
Cloud Computing Solutions
The rise of DevOps in Data Science
Automate your data pipeline with Ansible
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.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
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4. 4
Strategically Aligned
Businesses
Dell Technologies
Dell Inc.
Client Solutions
Group
Global ServicesInfrastructure
Solutions Group
Dell Technologies - World’s largest privately controlled Tech Company
74 B$ revenue – 140.000 team members - 20.000+ patents - $4.5 billion on R&D/year
9. 9
MULTI-SOURCE DATA NEEDS
DELIVERING ACTIONABLE INSIGHT IN REAL-TIME
WEATHER FORECASTING
SOIL ANALYSIS MACHINE DATA
$100 MORE PROFIT/ACRE$43K INCREASE IN ANNUAL
PROFIT
20% GREATER YIELD
REAL TIME OPERATIONS
10. INFRA
As a Service
Realtime
RISK
management
Realtime
Enterprise
SERVICES
Flash/vSAN/vLANHyper Converged Infrastructures
Hyperscale Elastic Cloud Services Software Defined
Enterprise-grade Hybrid Cloud
Analytics
Mobile / Apps
Cloud based
Agile DevOps
Micro services
Distributed/compartmented
Real time Analytics
Intelligence
Quick response
Transparency
REALTIME
Organization Collective and Prescriptive Intelligence
Become Digital (always on, anywhere, anytime)
Drive Change (disrupt instead of being disrupted)
Ecosystem & Alliance versatility
Realtime Customer Engagement
Automated
Shared, open, reliable data
BUSINESS
IMPERATIVE #1
11. 11
Back Office Front Office
System Centric User/device Centric
Systems of Record
• IT driven, Robust
• Transactional oriented
• Data centric
• Safe & secure
• Structured
Systems of Insight
• Data Governance
• Analytics
• Big Data
• Business
Intelligence
Systems of Engagement
• Interaction oriented
• Contact & collaboration
• User experience
• Mobile
• Unstructured
Shared Data
Shared, open, reliable data . . . .
. . . demand well organized data management
BIG DATA SMART DATA FAST DATA
SUPPORTED BY HYBRID CLOUD PLATFORMS (as a utility)
15. 15
15
But when data masses differ . . . (1)
Data
Typical 2nd platform behaviour
Large Applications
billion lines of code
Small data sets
Data
Data
Data
Data
Data
Data
Data
Application
Application Centric
Architectures
STRUCTURED
Non movable
application
Application is critical about
the data to be presented . .
22. 22
22
IOT: HISTORY & DEVELOPMENT
1969
1966
In just a few decades, computers
will be embedded into almost every
industrial product.
Karl Steinbuch (Cybernetic Engineer)
Arpanet
1984
DNS
1991
WWW
online
1993
Coffee pot in the University of
Cambridge computer lab
1998
Google
1999
Kevin Ashton from MIT uses the term
"Internet of Things" for the first time
LG announces first
online refrigerator
2008
IoT Conference
Zurich
2011
IPv6
2005
Arduino
Open source
platform for
microcontrollers
Nest
Sources: MIT, Gartner, PostScapes
2000 2010
Turing,Tesla,Morse
2014
Industrial
Internet
Consortium
2017
8.4 Billion Connected “Things”
in use worldwide
(world population: 7.5 Billion)
Gartner
EdgeX Foundry
vendor-neutral open source project
hosted by the Linux Foundation.
Building a common open framework
for Industrial IoT edge computing.
The Industrial Internet Consortium
publishes the First industrial
internet connectivity framework
23. NIST definition*) publicatie 800 – 191
‘Fog computing is een horizontaal, fysiek of virtueel resourceparadigma dat
zich bevindt tussen slimme end-devices en traditionele cloud- of datacenters.
Dit paradigma ondersteunt verticaal geïsoleerde en latency-gevoelige applicaties
door een alom vertegenwoordigde, schaalbare, gelaagde, gefedereerde en
gedistribueerde computing, storage en netwerkconnectiviteit.’
Kort gezegd is fog computing een cloud-gebaseerd-ecosysteem dat
slimme end-devices in gekoppelde netwerken kan ondersteunen.
Mist computing is een lichte variant en rudimentaire vorm van fog computing.
*) NIST (US National Institute for Standards and Technology)
24. 24
And at the beginning
there was one lake…
Centralization
As the traditional approach to
gain analytical insight from data
in disparate sources
Batched data gathered in a single
repository or cloud in preparation
for analysis
@Presenter:
The need for unconventional thiing when creating and defining the computational models of tomorrow, that
Can embrace big data,
That can be conducive to iot and
That can be friendly to unprecedent scale abilities….
@Presenter:
The need for unconventional thiing when creating and defining the computational models of tomorrow, that
Can embrace big data,
That can be conducive to iot and
That can be friendly to unprecedent scale abilities….
Let’s keep going with this analogy.
By the time we get to 2050, the UN predicts 9 Billion people by 2050.
That is 9 billion people that need to be fed.
If you look at the analysis and our current practices of farming the land, we see that we are incapable of feeding this many people.
How are things going to change?
<CLICK>
This is a human challenge and a data challenge.
What we’re going to see is a precision farming revolution. This is not your father’s farm equipment.
There is a myriad of devices piping information both to and from the equipment
The don’t just take information from external sources about where to put the crops and how to plant, they also sense the ground: how fertile is it, how has it been watered, what is the terrain.
This information is being sent back, and used to improve the planting plan for next year, driving a higher yield.
<CLICK>
<CLICK>
What if we could take this to the next level?
What if we could take context and intent and do that in real time?
The context of the situation: planting seeds
The intent: drive the highest yield
But instead of driving the plan from last year’s information, what if we could dynamically do it in real-time
That’s where we are headed: a trend of what we like to call “catching in the act”
Can we catch the tractor “in the act” of planting a seed and use data to alter the planting plan?
But can equally apply to other use cases
Can I catch a consumer in the act of doing something, and direct them or cross sell them to another product?
Can I catch somebody malicious in the act doing something fraudulent?
This idea of determining context, and intent, and then changing action based on large amounts of data in real-time, is where we are headed.
<CLICK>
So we see this in the world of agriculture. People taking advanced weather forecasting, historical yields, satellite imagery, soil analysis – combining that and delivering a real-time feed to plant equipment so that it can more efficiently farm the land.
This is happening now, it will be happening everywhere by the time we get to 2050, and that’s how we are going to feed those 9 billion people.
What does it deliver in real terms? Not just a science project, but tangible business results
<CLICK> 20% greater yield
<CLICK> $100 more profit per acre to the farmer, which means that the average U.S. farmer can not only help the world feed the exploding population,
<CLICK> but also generate an additional $43,000 in annual profit.
And we see companies like John Deere transforming from selling products to selling services, transforming how they make money. The product, the tractor, becomes a platform for a new business as a service model where they sell services and insurance, instead of products.
This is the promise of big data and what we’re here to talk about.
<CLICK>
@Presenter:
The need for unconventional thiing when creating and defining the computational models of tomorrow, that
Can embrace big data,
That can be conducive to iot and
That can be friendly to unprecedent scale abilities….
@Presenter
Technology is truly accelertaing the growth of a digital universe that brings unforeseen and unexplored opportunities ready to be unveiled.
@Presenter
Technology is truly accelertaing the growth of a digital universe that brings unforeseen and unexplored opportunities ready to be unveiled.
@Presenter
Technology is truly accelertaing the growth of a digital universe that brings unforeseen and unexplored opportunities ready to be unveiled.
@Presenter
Technology is truly accelertaing the growth of a digital universe that brings unforeseen and unexplored opportunities ready to be unveiled.
@Presenter
Technology is truly accelertaing the growth of a digital universe that brings unforeseen and unexplored opportunities ready to be unveiled.
It is a pleasure to be here today to celebrate with you, the dawn of a new era!
[Welcome/opening remarks]
Dell has been on a 30+ year journey to democratize technology and the power of information
Evolved IT from a bookkeeping tool to the very center of business and life
Looking ahead, realize we’ve barely begun
It is a pleasure to be here today to celebrate with you, the dawn of a new era!
[Welcome/opening remarks]
Dell has been on a 30+ year journey to democratize technology and the power of information
Evolved IT from a bookkeeping tool to the very center of business and life
Looking ahead, realize we’ve barely begun
@Presenter
And it is the fact that all of these technology driven events are enabling and being augmented by the internet of things…
And together they are transforming every aspect of our lives.
While many of us focus on more scientific aspects of these technology advances, the great mass is bombarded with changes on all aspects of their daily activities in things as simple as…. For example…
Ordering and waiting for a pizza….
@PRESENTER:
And IT NEEDS TO SCALE … to unforeseen dimensions…
In 2020, only 5 years away, WE will be living in a world where……..
MORE THAN 7 BILLION WILL BE CONNECTED… THIS IS ALMOST THE SAME NUMBER OF PEOPLE WE HAVE TODAY ON EARTH…
AND THESE PEOPLE WILL NOT BE ALONE… THEY WILL BE JOINED BY ANOTHER 30 BILLION DEVICES CONNECTED TO THE 7 BILLION PEOPLE AND MORE IMPORTANTLY CONNECTED TO EACH OTHER …
AND TOGETHER THEY WILL GENERATE MORE THAN 44 ZETTABYTES OF DATA ….
…… and Software will be the key enabler to create compelling outcomes
The challenges we face today in essence…
22
@Presenter:
Model later deployed for monitoring/scoring at the edge (Lambda architecture)
“To One Lake, or to Multi-Lake”...
We can also copy some of teh fun lake picture and teh creation of the world slide before ....
“To One Lake, or to Multi-Lake”...
We can also copy some of teh fun lake picture and teh creation of the world slide before ....
@Presenter:
But then... A perfect storm came along caused by the convergence of five very disruptive functions and parallalized the data….
IoT Effect
Regulatory Compliance
Legacy data
Bandwidth Contraints
Migration to the edge
@Presenter: changing the paradigm of data science from a centralized science to data science at the edge!
Machine Learning can reduce the complexity of deploying edge computing.
Machine-learning can be described as the study of algorithms that are able to learn from experience and examples. This can enable companies to easily automate repetitive tasks and processes enabling analytics to be performed at the edge of the network. As a result, the flow of information will be significantly more efficient while cutting down on network latency and associated costs.
Artificial intelligence in the cloud enables deeper learning on available data through image analysis, language comprehension, and text recognition to name a few.
These insights along with the machine learning at the edge offer an ever smarter and more precise rules engine for IoT data
Edge/Fog computing compliments existing cloud/data center advantages that Dell Technologies offers.
The rules engine at the edge to cleanse the data streaming off the things should be constantly refined with deep learning and artificial intelligence leveraging big data analytics in the cloud/Datacenter.
By pulling the right data back to the core based on the rules engine at the edge you can then integrate it into existing IT systems such as your ERP (Enterprise Resource Planning), CRM (customer relationship management), and SCM (Supply Chain Management) systems. This is how you convert all the data you are gathering from a cost center to a profit center with business insights.
Finally, constantly updating your edge rules engine ensures that you are passing the right insights over the network to the cloud/datacenter to enable remote access from anywhere and also compare the data across multiple sites which are not co-located. For instance, if you have a portfolio of building, you would pull the critical data back from to determine which building is most efficient and how those learnings could improve the efficiency of the rest of your portfolio.
PRESENTER NOTE: What follows is a set of materials to help Dell Technologies spokespersons understand one unified story to carry to the market on Day One.
Communications will hold a series of calls with global communications and spokesperson teams shortly before close.
In addition, a video will be posted internally of Jeremy Burton delivering the pitch for on-demand viewing.