AWS & Manufacturing: SKF Connects Smart Products with Smart Factories (MFG316) - AWS re:Invent 2018

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In this chalk talk, global bearing manufacturer SKF demonstrates how they use AWS IoT to provide real-time insights into their global customers worldwide to optimize machine health and reduce costs for end users, while opening up new revenue models for SKF. SKF is driving Industry 4.0 within their own factories, with a new joint interaction between Operations, and IT. Here, a new culture of agile development, driven by value creation, bridges manufacturing Operations and IT. For example, the need to monitor and connect the large number of legacy manufacturing machines in the field today was designed using AWS Greengrass and self-developed connectors, all made available on SKF’s Digital Platform. Developing a use case with AWS ensures reusability within SKF for other applications.

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
AWS & Manufacturing: SKF Connects
Smart Products with Smart Factories
Jens Greiner
Global Manager IoT Development
SKF
M F G 3 1 6
Steve Blackwell
Senior Consultant Automotive & Manufacturing
AWS

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Agenda
Introduction to SKF
Overview of SKF Smart Factory use cases
Overview of SKF Smart Product use cases

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
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© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
SKF—A truly global company
Established 1907
Sales 2017 SEK 77,938 million
Employees 45,678
Manufacturing units 103
SKF presence 130 countries
Distribution/Dealers 17,000 locations
Global certificates ISO 9001 – Quality
ISO 14001 – Environment
ISO 50001 – Energy
OHSAS 18001 – Health and safety

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Two value propositions
Rotating equipment
performance Product

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Digital business needs a new way of thinking
User value
• Smart services
• Analytical insights
Service layer
• Scalable, reliable
• Secure
• Cost-efficient
Data layer
• Smart products
• Manufacturing
Digital Platform
Powered by

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Smart manufacturing for SKF
5G
Skills development Digital
twin
Mobility
Robotics
Optimized flow (AGVs)
Shop floor to top floor
connectivity
Industrial internet
Data security
Supply chain 4.0
Traceability
Predictive maintenance
Continuous improvement
Real time action taking
AGV = automated guided vehicle

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
SKF world class manufacturing
Is zero defect delivery with
• Shorter lead times
• Increased flexibility
• Higher efficiency
At the lowest possible cost

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Key elements of smart manufacturing
Enablement
• Connected machines
• Connected workers
• Real time collaboration between machines and workers
• Data collection and analytics
Challenges
• Brown field set-up
• Diverse machine park
• No standards

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Connected System 24—Smart Lubricator*
Customer challenges
• Lubrication is important for bearing lifetime
• Lubricators distributed in a wide area >10 km
• Human interaction is very seldom
Customer value
• Active information about grease level
• Active information about alarms
• Remote adjustment of lubrication
• Dashboard with additional insights
*Pilot Phase

© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Building a smart product
• Adding LoRa connectivity to product
• Selecting a gateway
• Developing product firmware
• Developing gateway firmware
• Developing backend services
• Developing Web UI
• Integrating data into data lake

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Connected System 24 dashboard

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Connected System 24 search

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Connected System 24 asset information

Thank you!
© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Jens Greiner
Steve Blackwell
stevbla@amazon.com

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Big Data per le Startup: come creare applicazioni Big Data in modalità Server...

Amazon Web Services

La varietà e la quantità di dati che si crea ogni giorno accelera sempre più velocemente e rappresenta una opportunità irripetibile per innovare e creare nuove startup. Tuttavia gestire grandi quantità di dati può apparire complesso: creare cluster Big Data su larga scala sembra essere un investimento accessibile solo ad aziende consolidate. Ma l’elasticità del Cloud e, in particolare, i servizi Serverless ci permettono di rompere questi limiti. Vediamo quindi come è possibile sviluppare applicazioni Big Data rapidamente, senza preoccuparci dell’infrastruttura, ma dedicando tutte le risorse allo sviluppo delle nostre le nostre idee per creare prodotti innovativi.

Esegui pod serverless con Amazon EKS e AWS Fargate

Amazon Web Services

Ora puoi utilizzare Amazon Elastic Kubernetes Service (EKS) per eseguire pod Kubernetes su AWS Fargate, il motore di elaborazione serverless creato per container su AWS. Questo rende più semplice che mai costruire ed eseguire le tue applicazioni Kubernetes nel cloud AWS.In questa sessione presenteremo le caratteristiche principali del servizio e come distribuire la tua applicazione in pochi passaggi

Costruire Applicazioni Moderne con AWS

Amazon Web Services

Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.

Come spendere fino al 90% in meno con i container e le istanze spot

Amazon Web Services

L’utilizzo dei container è in continua crescita. Se correttamente disegnate, le applicazioni basate su Container sono molto spesso stateless e flessibili. I servizi AWS ECS, EKS e Kubernetes su EC2 possono sfruttare le istanze Spot, portando ad un risparmio medio del 70% rispetto alle istanze On Demand. In questa sessione scopriremo insieme quali sono le caratteristiche delle istanze Spot e come possono essere utilizzate facilmente su AWS. Impareremo inoltre come Spreaker sfrutta le istanze spot per eseguire applicazioni di diverso tipo, in produzione, ad una frazione del costo on-demand!

Open banking as a service

Amazon Web Services

In recent months, many customers have been asking us the question – how to monetise Open APIs, simplify Fintech integrations and accelerate adoption of various Open Banking business models. Therefore, AWS and FinConecta would like to invite you to Open Finance marketplace presentation on October 20th. Event Agenda : Open banking so far (short recap) • PSD2, OB UK, OB Australia, OB LATAM, OB Israel Intro to Open Finance marketplace • Scope • Features • Tech overview and Demo The role of the Cloud The Future of APIs • Complying with regulation • Monetizing data / APIs • Business models • Time to market One platform for all: a Strategic approach Q&A

Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...

Amazon Web Services

Per creare valore e costruire una propria offerta differenziante e riconoscibile, le startup di successo sanno come combinare tecnologie consolidate con componenti innovativi creati ad hoc. AWS fornisce servizi pronti all'utilizzo e, allo stesso tempo, permette di personalizzare e creare gli elementi differenzianti della propria offerta. Concentrandoci sulle tecnologie di Machine Learning, vedremo come selezionare i servizi di intelligenza artificiale offerti da AWS e, anche attraverso una demo, come costruire modelli di Machine Learning personalizzati utilizzando SageMaker Studio.

OpsWorks Configuration Management: automatizza la gestione e i deployment del...

Amazon Web Services

Con l'approccio tradizionale al mondo IT per molti anni è stato difficile implementare tecniche di DevOps, che finora spesso hanno previsto attività manuali portando di tanto in tanto a dei downtime degli applicativi interrompendo l'operatività dell'utente. Con l'avvento del cloud, le tecniche di DevOps sono ormai a portata di tutti a basso costo per qualsiasi genere di workload, garantendo maggiore affidabilità del sistema e risultando in dei significativi miglioramenti della business continuity. AWS mette a disposizione AWS OpsWork come strumento di Configuration Management che mira ad automatizzare e semplificare la gestione e i deployment delle istanze EC2 per mezzo di workload Chef e Puppet. Scopri come sfruttare AWS OpsWork a garanzia e affidabilità del tuo applicativo installato su Instanze EC2.

Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads

Amazon Web Services

Vuoi conoscere le opzioni per eseguire Microsoft Active Directory su AWS? Quando si spostano carichi di lavoro Microsoft in AWS, è importante considerare come distribuire Microsoft Active Directory per supportare la gestione, l'autenticazione e l'autorizzazione dei criteri di gruppo. In questa sessione, discuteremo le opzioni per la distribuzione di Microsoft Active Directory su AWS, incluso AWS Directory Service per Microsoft Active Directory e la distribuzione di Active Directory su Windows su Amazon Elastic Compute Cloud (Amazon EC2). Trattiamo argomenti quali l'integrazione del tuo ambiente Microsoft Active Directory locale nel cloud e l'utilizzo di applicazioni SaaS, come Office 365, con AWS Single Sign-On.

Computer Vision con AWS

Amazon Web Services

Database Oracle e VMware Cloud on AWS i miti da sfatare

Amazon Web Services

Amazon Web Services e VMware organizzano un evento virtuale gratuito il prossimo mercoledì 14 Ottobre dalle 12:00 alle 13:00 dedicato a VMware Cloud ™ on AWS, il servizio on demand che consente di eseguire applicazioni in ambienti cloud basati su VMware vSphere® e di accedere ad una vasta gamma di servizi AWS, sfruttando a pieno le potenzialità del cloud AWS e tutelando gli investimenti VMware esistenti. Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi. La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali.

Crea la tua prima serverless ledger-based app con QLDB e NodeJS

Amazon Web Services

Molte aziende oggi, costruiscono applicazioni con funzionalità di tipo ledger ad esempio per verificare lo storico di accrediti o addebiti nelle transazioni bancarie o ancora per tenere traccia del flusso supply chain dei propri prodotti. Alla base di queste soluzioni ci sono i database ledger che permettono di avere un log delle transazioni trasparente, immutabile e crittograficamente verificabile, ma sono strumenti complessi e onerosi da gestire. Amazon QLDB elimina la necessità di costruire sistemi personalizzati e complessi fornendo un database ledger serverless completamente gestito. In questa sessione scopriremo come realizzare un'applicazione serverless completa che utilizzi le funzionalità di QLDB.

API moderne real-time per applicazioni mobili e web

Amazon Web Services

Con l’ascesa delle architetture di microservizi e delle ricche applicazioni mobili e Web, le API sono più importanti che mai per offrire agli utenti finali una user experience eccezionale. In questa sessione impareremo come affrontare le moderne sfide di progettazione delle API con GraphQL, un linguaggio di query API open source utilizzato da Facebook, Amazon e altro e come utilizzare AWS AppSync, un servizio GraphQL serverless gestito su AWS. Approfondiremo diversi scenari, comprendendo come AppSync può aiutare a risolvere questi casi d’uso creando API moderne con funzionalità di aggiornamento dati in tempo reale e offline. Inoltre, impareremo come Sky Italia utilizza AWS AppSync per fornire aggiornamenti sportivi in tempo reale agli utenti del proprio portale web.

Database Oracle e VMware Cloud™ on AWS: i miti da sfatare

Amazon Web Services

Molte organizzazioni sfruttano i vantaggi del cloud migrando i propri carichi di lavoro Oracle e assicurandosi notevoli vantaggi in termini di agilità ed efficienza dei costi. La migrazione di questi carichi di lavoro, può creare complessità durante la modernizzazione e il refactoring delle applicazioni e a questo si possono aggiungere rischi di prestazione che possono essere introdotti quando si spostano le applicazioni dai data center locali. In queste slide, gli esperti AWS e VMware presentano semplici e pratici accorgimenti per facilitare e semplificare la migrazione dei carichi di lavoro Oracle accelerando la trasformazione verso il cloud, approfondiranno l’architettura e dimostreranno come sfruttare a pieno le potenzialità di VMware Cloud ™ on AWS.

Tools for building your MVP on AWS

Amazon Web Services

1) The document discusses building a minimum viable product (MVP) using Amazon Web Services (AWS). 2) It provides an example of an MVP for an omni-channel messenger platform that was built from 2017 to connect ecommerce stores to customers via web chat, Facebook Messenger, WhatsApp, and other channels. 3) The founder discusses how they started with an MVP in 2017 with 200 ecommerce stores in Hong Kong and Taiwan, and have since expanded to over 5000 clients across Southeast Asia using AWS for scaling.

How to Build a Winning Pitch Deck

Amazon Web Services

This document discusses pitch decks and fundraising materials. It explains that venture capitalists will typically spend only 3 minutes and 44 seconds reviewing a pitch deck. Therefore, the deck needs to tell a compelling story to grab their attention. It also provides tips on tailoring different types of decks for different purposes, such as creating a concise 1-2 page teaser, a presentation deck for pitching in-person, and a more detailed read-only or fundraising deck. The document stresses the importance of including key information like the problem, solution, product, traction, market size, plans, team, and ask.

Building a web application without servers

Amazon Web Services

This document discusses building serverless web applications using AWS services like API Gateway, Lambda, DynamoDB, S3 and Amplify. It provides an overview of each service and how they can work together to create a scalable, secure and cost-effective serverless application stack without having to manage servers or infrastructure. Key services covered include API Gateway for hosting APIs, Lambda for backend logic, DynamoDB for database needs, S3 for static content, and Amplify for frontend hosting and continuous deployment.

Fundraising Essentials

Amazon Web Services

This document provides tips for fundraising from startup founders Roland Yau and Sze Lok Chan. It discusses generating competition to create urgency for investors, fundraising in parallel rather than sequentially, having a clear fundraising narrative focused on what you do and why it's compelling, and prioritizing relationships with people over firms. It also notes how the pandemic has changed fundraising, with examples of deals done virtually during this time. The tips emphasize being fully prepared before fundraising and cultivating connections with investors in advance.

AWS_HK_StartupDay_Building Interactive websites while automating for efficien...

Amazon Web Services

This document discusses Amazon's machine learning services for building conversational interfaces and extracting insights from unstructured text and audio. It describes Amazon Lex for creating chatbots, Amazon Comprehend for natural language processing tasks like entity extraction and sentiment analysis, and how they can be used together for applications like intelligent call centers and content analysis. Pre-trained APIs simplify adding machine learning to apps without requiring ML expertise.

Introduzione a Amazon Elastic Container Service

Amazon Web Services

Amazon Elastic Container Service (Amazon ECS) è un servizio di gestione dei container altamente scalabile, che semplifica la gestione dei contenitori Docker attraverso un layer di orchestrazione per il controllo del deployment e del relativo lifecycle. In questa sessione presenteremo le principali caratteristiche del servizio, le architetture di riferimento per i differenti carichi di lavoro e i semplici passi necessari per poter velocemente migrare uno o più dei tuo container.

Come costruire un'architettura Serverless nel Cloud AWS

Amazon Web Services

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Big Data per le Startup: come creare applicazioni Big Data in modalità Server...

Esegui pod serverless con Amazon EKS e AWS Fargate

Costruire Applicazioni Moderne con AWS

Come spendere fino al 90% in meno con i container e le istanze spot

Open banking as a service

Rendi unica l’offerta della tua startup sul mercato con i servizi Machine Lea...

OpsWorks Configuration Management: automatizza la gestione e i deployment del...

Microsoft Active Directory su AWS per supportare i tuoi Windows Workloads

Computer Vision con AWS

Database Oracle e VMware Cloud on AWS i miti da sfatare

Crea la tua prima serverless ledger-based app con QLDB e NodeJS

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Database Oracle e VMware Cloud™ on AWS: i miti da sfatare

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How to Build a Winning Pitch Deck

Building a web application without servers

Fundraising Essentials

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Come costruire un'architettura Serverless nel Cloud AWS

AWS & Manufacturing: SKF Connects Smart Products with Smart Factories (MFG316) - AWS re:Invent 2018

2. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. AWS & Manufacturing: SKF Connects Smart Products with Smart Factories Jens Greiner Global Manager IoT Development SKF M F G 3 1 6 Steve Blackwell Senior Consultant Automotive & Manufacturing AWS

4. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Related sessions Wednesday, Nov 28th MFG307 - Industrial Intelligence: Generate Insights from Historian Data 16:00 – 17:00 | Aria West, Level 3, Starvine 3, Table 3 Thursday, Nov 29th MFG301 - Optimize Smart Factories using Data Lakes and ML on AWS 13:45 – 14:45 | MGM, Level 1, Grand Ballroom 122 Tuesday, Nov 27th IOT307-R1 How Fender is Automating Its Manufacturing Operations with AWS 19:00 – 20:00 | Venetian, Level 3, San Polo 3405

5. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. SKF—A truly global company Established 1907 Sales 2017 SEK 77,938 million Employees 45,678 Manufacturing units 103 SKF presence 130 countries Distribution/Dealers 17,000 locations Global certificates ISO 9001 – Quality ISO 14001 – Environment ISO 50001 – Energy OHSAS 18001 – Health and safety

7. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Digital business needs a new way of thinking User value • Smart services • Analytical insights Service layer • Scalable, reliable • Secure • Cost-efficient Data layer • Smart products • Manufacturing Digital Platform Powered by

9. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Smart manufacturing for SKF 5G Skills development Digital twin Mobility Robotics Optimized flow (AGVs) Shop floor to top floor connectivity Industrial internet Data security Supply chain 4.0 Traceability Predictive maintenance Continuous improvement Real time action taking AGV = automated guided vehicle

10. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. SKF world class manufacturing Is zero defect delivery with • Shorter lead times • Increased flexibility • Higher efficiency At the lowest possible cost

11. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Key elements of smart manufacturing Enablement • Connected machines • Connected workers • Real time collaboration between machines and workers • Data collection and analytics Challenges • Brown field set-up • Diverse machine park • No standards

13. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Connected System 24—Smart Lubricator* Customer challenges • Lubrication is important for bearing lifetime • Lubricators distributed in a wide area >10 km • Human interaction is very seldom Customer value • Active information about grease level • Active information about alarms • Remote adjustment of lubrication • Dashboard with additional insights *Pilot Phase

14. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Building a smart product • Adding LoRa connectivity to product • Selecting a gateway • Developing product firmware • Developing gateway firmware • Developing backend services • Developing Web UI • Integrating data into data lake

AWS & Manufacturing: SKF Connects Smart Products with Smart Factories (MFG316) - AWS re:Invent 2018

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AWS & Manufacturing: SKF Connects Smart Products with Smart Factories (MFG316) - AWS re:Invent 2018